diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json new file mode 100644 index 000000000..763462fad --- /dev/null +++ b/.devcontainer/devcontainer.json @@ -0,0 +1,17 @@ +// For format details, see https://aka.ms/devcontainer.json. For config options, see the +// README at: https://github.com/devcontainers/templates/tree/main/src/debian +{ + "name": "Development", + "image": "mcr.microsoft.com/devcontainers/typescript-node:latest", + "features": { + "ghcr.io/devcontainers/features/node:1": {} + }, + "postCreateCommand": "yarn install", + "customizations": { + "vscode": { + "extensions": [ + "esbenp.prettier-vscode" + ] + } + } +} diff --git a/.eslintrc.js b/.eslintrc.js new file mode 100644 index 000000000..60f0e7a35 --- /dev/null +++ b/.eslintrc.js @@ -0,0 +1,10 @@ +module.exports = { + parser: '@typescript-eslint/parser', + plugins: ['@typescript-eslint', 'unused-imports', 'prettier'], + rules: { + 'no-unused-vars': 'off', + 'prettier/prettier': 'error', + 'unused-imports/no-unused-imports': 'error', + }, + root: true, +}; diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS new file mode 100644 index 000000000..d58c8454c --- /dev/null +++ b/.github/CODEOWNERS @@ -0,0 +1,4 @@ +# This file is used to automatically assign reviewers to PRs +# For more information see: https://help.github.com/en/github/creating-cloning-and-archiving-repositories/about-code-owners + +* @openai/sdks-team diff --git a/.github/ISSUE_TEMPLATE/bug_report.yml b/.github/ISSUE_TEMPLATE/bug_report.yml index 5aaecc4ea..c568a50c5 100644 --- a/.github/ISSUE_TEMPLATE/bug_report.yml +++ b/.github/ISSUE_TEMPLATE/bug_report.yml @@ -1,11 +1,19 @@ name: Bug report -description: Create a report to help us improve -labels: ["bug"] +description: Report an issue or bug with this library +labels: ['bug'] body: - type: markdown attributes: value: | Thanks for taking the time to fill out this bug report! + - type: checkboxes + id: non_api + attributes: + label: Confirm this is a Node library issue and not an underlying OpenAI API issue + description: Issues with the underlying OpenAI API should be reported on our [Developer Community](https://community.openai.com/c/api/7) + options: + - label: This is an issue with the Node library + required: true - type: textarea id: what-happened attributes: @@ -53,4 +61,4 @@ body: label: Library version placeholder: openai v3.0.1 validations: - required: true \ No newline at end of file + required: true diff --git a/.github/ISSUE_TEMPLATE/config.yml b/.github/ISSUE_TEMPLATE/config.yml index 9b58e06f0..6f6c3bfdb 100644 --- a/.github/ISSUE_TEMPLATE/config.yml +++ b/.github/ISSUE_TEMPLATE/config.yml @@ -4,4 +4,4 @@ contact_links: url: https://help.openai.com/ about: | Please only file issues here that you believe represent actual bugs or feature requests for the OpenAI Node library. - If you're having general trouble with the OpenAI API, please visit our help center to get support. \ No newline at end of file + If you're having general trouble with the OpenAI API, please visit our help center to get support. diff --git a/.github/ISSUE_TEMPLATE/feature_request.yml b/.github/ISSUE_TEMPLATE/feature_request.yml index c61321f7b..8959fe9bc 100644 --- a/.github/ISSUE_TEMPLATE/feature_request.yml +++ b/.github/ISSUE_TEMPLATE/feature_request.yml @@ -1,11 +1,19 @@ name: Feature request description: Suggest an idea for this library -labels: ["feature-request"] +labels: ['feature-request'] body: - type: markdown attributes: value: | Thanks for taking the time to fill out this feature request! + - type: checkboxes + id: non_api + attributes: + label: Confirm this is a feature request for the Node library and not the underlying OpenAI API. + description: Feature requests for the underlying OpenAI API should be reported on our [Developer Community](https://community.openai.com/c/api/7) + options: + - label: This is a feature request for the Node library + required: true - type: textarea id: feature attributes: @@ -17,4 +25,4 @@ body: id: context attributes: label: Additional context - description: Add any other context about the feature request here. \ No newline at end of file + description: Add any other context about the feature request here. diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md new file mode 100644 index 000000000..4416b1e54 --- /dev/null +++ b/.github/pull_request_template.md @@ -0,0 +1,10 @@ + + + + + +- [ ] I understand that this repository is auto-generated and my pull request may not be merged + +## Changes being requested + +## Additional context & links diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 000000000..09f1636b6 --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,135 @@ +name: CI +on: + push: + branches-ignore: + - 'generated' + - 'codegen/**' + - 'integrated/**' + - 'stl-preview-head/**' + - 'stl-preview-base/**' + +jobs: + lint: + timeout-minutes: 10 + name: lint + runs-on: ${{ github.repository == 'stainless-sdks/openai-node' && 'depot-ubuntu-24.04' || 'ubuntu-latest' }} + steps: + - uses: actions/checkout@v4 + + - name: Set up Node + uses: actions/setup-node@v4 + with: + node-version: '18' + + - name: Bootstrap + run: ./scripts/bootstrap + + - name: Check types + run: ./scripts/lint + + build: + timeout-minutes: 5 + name: build + runs-on: ${{ github.repository == 'stainless-sdks/openai-node' && 'depot-ubuntu-24.04' || 'ubuntu-latest' }} + permissions: + contents: read + id-token: write + steps: + - uses: actions/checkout@v4 + + - name: Set up Node + uses: actions/setup-node@v4 + with: + node-version: '18' + + - name: Bootstrap + run: ./scripts/bootstrap + + - name: Check build + run: ./scripts/build + + - name: Get GitHub OIDC Token + if: github.repository == 'stainless-sdks/openai-node' + id: github-oidc + uses: actions/github-script@v6 + with: + script: core.setOutput('github_token', await core.getIDToken()); + + - name: Upload tarball + if: github.repository == 'stainless-sdks/openai-node' + env: + URL: https://pkg.stainless.com/s + AUTH: ${{ steps.github-oidc.outputs.github_token }} + SHA: ${{ github.sha }} + run: ./scripts/utils/upload-artifact.sh + test: + timeout-minutes: 10 + name: test + runs-on: ${{ github.repository == 'stainless-sdks/openai-node' && 'depot-ubuntu-24.04' || 'ubuntu-latest' }} + steps: + - uses: actions/checkout@v4 + + - name: Set up Node + uses: actions/setup-node@v4 + with: + node-version: '20' + + - name: Bootstrap + run: ./scripts/bootstrap + + - name: Run tests + run: ./scripts/test + + examples: + timeout-minutes: 10 + name: examples + runs-on: ${{ github.repository == 'stainless-sdks/openai-node' && 'depot-ubuntu-24.04' || 'ubuntu-latest' }} + if: github.repository == 'openai/openai-node' + + steps: + - uses: actions/checkout@v4 + + - name: Set up Node + uses: actions/setup-node@v4 + with: + node-version: '20' + - name: Install dependencies + run: | + yarn install + + - env: + OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} + run: | + yarn tsn examples/demo.ts + + ecosystem_tests: + name: ecosystem tests (v${{ matrix.node-version }}) + runs-on: ubuntu-latest + timeout-minutes: 20 + strategy: + fail-fast: false + matrix: + node-version: ['20'] + + steps: + - uses: actions/checkout@v4 + + - name: Set up Node + uses: actions/setup-node@v4 + with: + node-version: '${{ matrix.node-version }}' + + - uses: denoland/setup-deno@v1 + with: + deno-version: v1.39.0 + + - uses: oven-sh/setup-bun@v2 + + - name: Bootstrap + run: ./scripts/bootstrap + + - name: Run ecosystem tests + run: | + yarn tsn ecosystem-tests/cli.ts --live --verbose --parallel --jobs=4 --retry=3 + env: + OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} diff --git a/.github/workflows/create-releases.yml b/.github/workflows/create-releases.yml new file mode 100644 index 000000000..19b7dd831 --- /dev/null +++ b/.github/workflows/create-releases.yml @@ -0,0 +1,50 @@ +name: Create releases +on: + schedule: + - cron: '0 5 * * *' # every day at 5am UTC + push: + branches: + - master + +jobs: + release: + name: release + if: github.ref == 'refs/heads/master' && github.repository == 'openai/openai-node' + runs-on: ubuntu-latest + environment: publish + permissions: + contents: read + id-token: write + + steps: + - uses: actions/checkout@v4 + + - uses: stainless-api/trigger-release-please@v1 + id: release + with: + repo: ${{ github.event.repository.full_name }} + stainless-api-key: ${{ secrets.STAINLESS_API_KEY }} + + - name: Set up Node + if: ${{ steps.release.outputs.releases_created }} + uses: actions/setup-node@v3 + with: + node-version: '18' + + - name: Install dependencies + if: ${{ steps.release.outputs.releases_created }} + run: | + yarn install + + - name: Publish to NPM + if: ${{ steps.release.outputs.releases_created }} + run: | + bash ./bin/publish-npm + env: + NPM_TOKEN: ${{ secrets.OPENAI_NPM_TOKEN || secrets.NPM_TOKEN }} + + - name: Publish to JSR + if: ${{ steps.release.outputs.releases_created }} + run: | + bash ./bin/publish-jsr + diff --git a/.github/workflows/publish-jsr.yml b/.github/workflows/publish-jsr.yml new file mode 100644 index 000000000..e74673c1f --- /dev/null +++ b/.github/workflows/publish-jsr.yml @@ -0,0 +1,30 @@ +# workflow for re-running publishing to JSR in case it fails for some reason +# you can run this workflow by navigating to https://www.github.com/openai/openai-node/actions/workflows/publish-jsr.yml +name: Publish JSR +on: + workflow_dispatch: + +jobs: + publish: + name: publish + runs-on: ubuntu-latest + permissions: + contents: read + id-token: write + environment: publish + + steps: + - uses: actions/checkout@v4 + + - name: Set up Node + uses: actions/setup-node@v3 + with: + node-version: '20' + + - name: Install dependencies + run: | + yarn install + + - name: Publish to JSR + run: | + bash ./bin/publish-jsr diff --git a/.github/workflows/publish-npm.yml b/.github/workflows/publish-npm.yml new file mode 100644 index 000000000..0662a79c5 --- /dev/null +++ b/.github/workflows/publish-npm.yml @@ -0,0 +1,29 @@ +# workflow for re-running publishing to NPM in case it fails for some reason +# you can run this workflow by navigating to https://www.github.com/openai/openai-node/actions/workflows/publish-npm.yml +name: Publish NPM +on: + workflow_dispatch: + +jobs: + publish: + name: publish + runs-on: ubuntu-latest + environment: publish + + steps: + - uses: actions/checkout@v4 + + - name: Set up Node + uses: actions/setup-node@v3 + with: + node-version: '20' + + - name: Install dependencies + run: | + yarn install + + - name: Publish to NPM + run: | + bash ./bin/publish-npm + env: + NPM_TOKEN: ${{ secrets.OPENAI_NPM_TOKEN || secrets.NPM_TOKEN }} diff --git a/.github/workflows/release-doctor.yml b/.github/workflows/release-doctor.yml new file mode 100644 index 000000000..37bc09e80 --- /dev/null +++ b/.github/workflows/release-doctor.yml @@ -0,0 +1,24 @@ +name: Release Doctor +on: + push: + branches: + - master + workflow_dispatch: + +jobs: + release_doctor: + name: release doctor + runs-on: ubuntu-latest + environment: publish + if: github.repository == 'openai/openai-node' && (github.event_name == 'push' || github.event_name == 'workflow_dispatch' || startsWith(github.head_ref, 'release-please') || github.head_ref == 'next') + + steps: + - uses: actions/checkout@v4 + + - name: Check release environment + run: | + bash ./bin/check-release-environment + env: + STAINLESS_API_KEY: ${{ secrets.STAINLESS_API_KEY }} + NPM_TOKEN: ${{ secrets.OPENAI_NPM_TOKEN || secrets.NPM_TOKEN }} + diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml deleted file mode 100644 index 8b1851595..000000000 --- a/.github/workflows/test.yml +++ /dev/null @@ -1,25 +0,0 @@ -name: Node.js CI - -on: - push: - branches: [ master ] - pull_request: - branches: [ master ] - -jobs: - build: - - runs-on: ubuntu-latest - - strategy: - matrix: - node-version: [16.x, 18.x] - steps: - - uses: actions/checkout@v3 - - name: Use Node.js ${{ matrix.node-version }} - uses: actions/setup-node@v3 - with: - node-version: ${{ matrix.node-version }} - cache: 'npm' - - run: npm ci - - run: npm run build diff --git a/.gitignore b/.gitignore index 07e6e472c..3fdab1cb7 100644 --- a/.gitignore +++ b/.gitignore @@ -1 +1,14 @@ -/node_modules +.prism.log +node_modules +yarn-error.log +codegen.log +Brewfile.lock.json +dist +dist-deno +/*.tgz +.idea/ +tmp +.pack +ecosystem-tests/deno/package.json +ecosystem-tests/*/openai.tgz +.dev.vars diff --git a/.npmignore b/.npmignore deleted file mode 100644 index 999d88df6..000000000 --- a/.npmignore +++ /dev/null @@ -1 +0,0 @@ -# empty npmignore to ensure all required files (e.g., in the dist folder) are published by npm \ No newline at end of file diff --git a/.openapi-generator-ignore b/.openapi-generator-ignore deleted file mode 100644 index ce0eef51f..000000000 --- a/.openapi-generator-ignore +++ /dev/null @@ -1,5 +0,0 @@ -.gitignore -README.md -git_push.sh -package.json -package-lock.json \ No newline at end of file diff --git a/.openapi-generator/FILES b/.openapi-generator/FILES deleted file mode 100644 index daef44100..000000000 --- a/.openapi-generator/FILES +++ /dev/null @@ -1,6 +0,0 @@ -.npmignore -api.ts -base.ts -common.ts -configuration.ts -index.ts diff --git a/.openapi-generator/VERSION b/.openapi-generator/VERSION deleted file mode 100644 index 0df17dd0f..000000000 --- a/.openapi-generator/VERSION +++ /dev/null @@ -1 +0,0 @@ -6.2.1 \ No newline at end of file diff --git a/.prettierignore b/.prettierignore new file mode 100644 index 000000000..3548c5af9 --- /dev/null +++ b/.prettierignore @@ -0,0 +1,7 @@ +CHANGELOG.md +/ecosystem-tests/*/** +/node_modules +/deno + +# don't format tsc output, will break source maps +/dist diff --git a/.prettierrc.json b/.prettierrc.json new file mode 100644 index 000000000..af75adaf6 --- /dev/null +++ b/.prettierrc.json @@ -0,0 +1,7 @@ +{ + "arrowParens": "always", + "experimentalTernaries": true, + "printWidth": 110, + "singleQuote": true, + "trailingComma": "all" +} diff --git a/.release-please-manifest.json b/.release-please-manifest.json new file mode 100644 index 000000000..989bed91e --- /dev/null +++ b/.release-please-manifest.json @@ -0,0 +1,3 @@ +{ + ".": "4.100.0" +} diff --git a/.stats.yml b/.stats.yml new file mode 100644 index 000000000..afa33d93b --- /dev/null +++ b/.stats.yml @@ -0,0 +1,4 @@ +configured_endpoints: 101 +openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai%2Fopenai-262e171d0a8150ea1192474d16ba3afdf9a054b399f1a49a9c9b697a3073c136.yml +openapi_spec_hash: 33e00a48df8f94c94f46290c489f132b +config_hash: d8d5fda350f6db77c784f35429741a2e diff --git a/Brewfile b/Brewfile new file mode 100644 index 000000000..e4feee601 --- /dev/null +++ b/Brewfile @@ -0,0 +1 @@ +brew "node" diff --git a/CHANGELOG.md b/CHANGELOG.md new file mode 100644 index 000000000..adda41e52 --- /dev/null +++ b/CHANGELOG.md @@ -0,0 +1,2643 @@ +# Changelog + +## 4.100.0 (2025-05-16) + +Full Changelog: [v4.99.0...v4.100.0](https://github.com/openai/openai-node/compare/v4.99.0...v4.100.0) + +### Features + +* **api:** further updates for evals API ([3f6f248](https://github.com/openai/openai-node/commit/3f6f248191b45015924be76fd5154d149c4ed8a0)) + + +### Chores + +* **internal:** version bump ([5123fe0](https://github.com/openai/openai-node/commit/5123fe08a56f3d0040b1cc67129382f3eacc3cca)) + +## 4.99.0 (2025-05-16) + +Full Changelog: [v4.98.0...v4.99.0](https://github.com/openai/openai-node/compare/v4.98.0...v4.99.0) + +### Features + +* **api:** manual updates ([75eb804](https://github.com/openai/openai-node/commit/75eb804edd6ad653eaa22d47f8c6d09ee845ebf4)) +* **api:** responses x eval api ([5029f1a](https://github.com/openai/openai-node/commit/5029f1a05eb1e8601ada06e0a5ba49f4c2b83c02)) +* **api:** Updating Assistants and Evals API schemas ([27fd517](https://github.com/openai/openai-node/commit/27fd5173b20f75debe96024ae8f1ce58a8254d26)) + +## 4.98.0 (2025-05-08) + +Full Changelog: [v4.97.0...v4.98.0](https://github.com/openai/openai-node/compare/v4.97.0...v4.98.0) + +### Features + +* **api:** Add reinforcement fine-tuning api support ([4aa7a79](https://github.com/openai/openai-node/commit/4aa7a7954c63caa26cc1640ace56093fe1cafa04)) + + +### Chores + +* **ci:** bump node version for release workflows ([2961f63](https://github.com/openai/openai-node/commit/2961f63c4d5b8ae8efdf8ea6581aa83c6b0f722e)) +* **internal:** fix formatting ([91a44fe](https://github.com/openai/openai-node/commit/91a44fe11c0847dc50d48a03a8d409ac4bece37a)) + + +### Documentation + +* add examples to tsdocs ([7d841b7](https://github.com/openai/openai-node/commit/7d841b7f98eb542a398fb9de12056125e8d6cb22)) + +## 4.97.0 (2025-05-02) + +Full Changelog: [v4.96.2...v4.97.0](https://github.com/openai/openai-node/compare/v4.96.2...v4.97.0) + +### Features + +* **api:** add image sizes, reasoning encryption ([9c2113a](https://github.com/openai/openai-node/commit/9c2113af7c7ea9a797a0e39d07d9ad8627c96acb)) + + +### Chores + +* **docs:** add missing deprecation warnings ([253392c](https://github.com/openai/openai-node/commit/253392c93adca88e0ee83f784183b2128ff64a16)) + + +### Documentation + +* fix "procesing" -> "processing" in realtime examples ([#1406](https://github.com/openai/openai-node/issues/1406)) ([8717b9f](https://github.com/openai/openai-node/commit/8717b9fce87d03e51d40ee58f5d6259408405e1f)) +* **readme:** fix typo ([cab3478](https://github.com/openai/openai-node/commit/cab3478f195f9de5c21033a1b3684f52ad347ffc)) + +## 4.96.2 (2025-04-29) + +Full Changelog: [v4.96.1...v4.96.2](https://github.com/openai/openai-node/compare/v4.96.1...v4.96.2) + +### Bug Fixes + +* **types:** export ParseableToolsParams ([#1486](https://github.com/openai/openai-node/issues/1486)) ([3e7c92c](https://github.com/openai/openai-node/commit/3e7c92c8a76c1f747610d63d9d69a88b796ee9fc)) + + +### Chores + +* **ci:** only use depot for staging repos ([214da39](https://github.com/openai/openai-node/commit/214da398c76f46d40994665f3ca7e10e203e9579)) +* **ci:** run on more branches and use depot runners ([ead76fc](https://github.com/openai/openai-node/commit/ead76fc6429ac52a1c8b008ac5c0afcefaa0bae5)) + +## 4.96.1 (2025-04-29) + +Full Changelog: [v4.96.0...v4.96.1](https://github.com/openai/openai-node/compare/v4.96.0...v4.96.1) + +### Bug Fixes + +* **types:** export ParseableToolsParams ([#1486](https://github.com/openai/openai-node/issues/1486)) ([eb055b2](https://github.com/openai/openai-node/commit/eb055b26ce90e5fe1b101a95a4390956d519e168)) + + +### Chores + +* **ci:** only use depot for staging repos ([e80af47](https://github.com/openai/openai-node/commit/e80af47590056baa8f456e8d60c37f0d00ff08c4)) +* **ci:** run on more branches and use depot runners ([b04a801](https://github.com/openai/openai-node/commit/b04a801d0356105eacddbb4d10f4359719585dd6)) + +## 4.96.0 (2025-04-23) + +Full Changelog: [v4.95.1...v4.96.0](https://github.com/openai/openai-node/compare/v4.95.1...v4.96.0) + +### Features + +* **api:** adding new image model support ([a00d331](https://github.com/openai/openai-node/commit/a00d33190edd08df7d9c088c00ab7b77673f88ba)) + + +### Bug Fixes + +* **types:** export AssistantStream ([#1472](https://github.com/openai/openai-node/issues/1472)) ([626c844](https://github.com/openai/openai-node/commit/626c844a758a68ffbff48873d4773be2e3868952)) + + +### Chores + +* **ci:** add timeout thresholds for CI jobs ([e465063](https://github.com/openai/openai-node/commit/e46506351097f1de39c866c28b6ec20fa724fc36)) + +## 4.95.1 (2025-04-18) + +Full Changelog: [v4.95.0...v4.95.1](https://github.com/openai/openai-node/compare/v4.95.0...v4.95.1) + +### Bug Fixes + +* **zod:** warn on optional field usage ([#1469](https://github.com/openai/openai-node/issues/1469)) ([aea2d12](https://github.com/openai/openai-node/commit/aea2d123d200e6a7eae11e66583127270a8db8bf)) + +## 4.95.0 (2025-04-16) + +Full Changelog: [v4.94.0...v4.95.0](https://github.com/openai/openai-node/compare/v4.94.0...v4.95.0) + +### Features + +* **api:** add o3 and o4-mini model IDs ([4845cd9](https://github.com/openai/openai-node/commit/4845cd9ac17450022f1632ae01397e41a97f1662)) + +## 4.94.0 (2025-04-14) + +Full Changelog: [v4.93.0...v4.94.0](https://github.com/openai/openai-node/compare/v4.93.0...v4.94.0) + +### Features + +* **api:** adding gpt-4.1 family of model IDs ([bddcbcf](https://github.com/openai/openai-node/commit/bddcbcffdc409ffc8a078a65bbd302cd50b35ff0)) +* **api:** manual updates ([7532f48](https://github.com/openai/openai-node/commit/7532f48ad25c5125064a59985587c20c47a2cbfb)) + + +### Chores + +* **client:** minor internal fixes ([d342f17](https://github.com/openai/openai-node/commit/d342f17e2642da5ee83d080b410dc3c4fe153814)) +* **internal:** reduce CI branch coverage ([a49b94a](https://github.com/openai/openai-node/commit/a49b94a9aebd3e30e1802fff633e1b46cfb81942)) +* **internal:** upload builds and expand CI branch coverage ([#1460](https://github.com/openai/openai-node/issues/1460)) ([7e23bb4](https://github.com/openai/openai-node/commit/7e23bb4f4a09303195b612cc5b393cc41c1d855b)) +* workaround build errors ([913eba8](https://github.com/openai/openai-node/commit/913eba828d116f49fa78b219c62274c1e95c6f17)) + +## 4.93.0 (2025-04-08) + +Full Changelog: [v4.92.1...v4.93.0](https://github.com/openai/openai-node/compare/v4.92.1...v4.93.0) + +### Features + +* **api:** Add evalapi to sdk ([#1456](https://github.com/openai/openai-node/issues/1456)) ([ee917e3](https://github.com/openai/openai-node/commit/ee917e3335fcf44e87a28e54ce8ddfdcdfab1652)) + + +### Chores + +* **internal:** fix examples ([#1457](https://github.com/openai/openai-node/issues/1457)) ([a3dd0dd](https://github.com/openai/openai-node/commit/a3dd0dde3e8ad9cc7a02cf203d4550f91d31a2ae)) +* **internal:** skip broken test ([#1458](https://github.com/openai/openai-node/issues/1458)) ([4d2f815](https://github.com/openai/openai-node/commit/4d2f815ba5f6c426f9c21f4c3db443166389bbf8)) +* **tests:** improve enum examples ([#1454](https://github.com/openai/openai-node/issues/1454)) ([ecabce2](https://github.com/openai/openai-node/commit/ecabce282a9fb60122310942f3b647dfefae5403)) + +## 4.92.1 (2025-04-07) + +Full Changelog: [v4.92.0...v4.92.1](https://github.com/openai/openai-node/compare/v4.92.0...v4.92.1) + +### Chores + +* **internal:** only run examples workflow in main repo ([#1450](https://github.com/openai/openai-node/issues/1450)) ([5e49a7a](https://github.com/openai/openai-node/commit/5e49a7a447bb788fa05898c15ae57c6ea9c8fd49)) + +## 4.92.0 (2025-04-07) + +Full Changelog: [v4.91.1...v4.92.0](https://github.com/openai/openai-node/compare/v4.91.1...v4.92.0) + +### Features + +* **api:** manual updates ([891754d](https://github.com/openai/openai-node/commit/891754d7fa42d71ce4f93288dd043ef0b97fee23)) +* **api:** manual updates ([01e5546](https://github.com/openai/openai-node/commit/01e5546f3f48a1f4d645e09e7581f16b30f25bdd)) +* **api:** manual updates ([f38dbf3](https://github.com/openai/openai-node/commit/f38dbf3b39b0800b3bbef5c603a4fa2b616f25d8)) +* **api:** manual updates ([1f12253](https://github.com/openai/openai-node/commit/1f12253054a5a7e35dc03b17901b4c1f33bf5b3d)) + + +### Bug Fixes + +* **api:** improve type resolution when importing as a package ([#1444](https://github.com/openai/openai-node/issues/1444)) ([4aa46d6](https://github.com/openai/openai-node/commit/4aa46d6c0da681bcdde31fcbb09e8ba6fdaf764b)) +* **client:** send `X-Stainless-Timeout` in seconds ([#1442](https://github.com/openai/openai-node/issues/1442)) ([aa4206c](https://github.com/openai/openai-node/commit/aa4206c7d93b4e3114a697f5467ffbbf5a64d1a8)) +* **embeddings:** correctly decode base64 data ([#1448](https://github.com/openai/openai-node/issues/1448)) ([58128f7](https://github.com/openai/openai-node/commit/58128f7efde73726da740c42adde7b02cdf60a6a)) +* **mcp:** remove unused tools.ts ([#1445](https://github.com/openai/openai-node/issues/1445)) ([520a8fa](https://github.com/openai/openai-node/commit/520a8fa77a69ce5855dde3481f9bd39339cb7b83)) + + +### Chores + +* **internal:** add aliases for Record and Array ([#1443](https://github.com/openai/openai-node/issues/1443)) ([b65391b](https://github.com/openai/openai-node/commit/b65391ba10d5063035c3e5c0bcc5a48ffc80f41d)) + +## 4.91.1 (2025-04-01) + +Full Changelog: [v4.91.0...v4.91.1](https://github.com/openai/openai-node/compare/v4.91.0...v4.91.1) + +### Bug Fixes + +* **docs:** correct docstring on responses.stream ([1c8cd6a](https://github.com/openai/openai-node/commit/1c8cd6a638128b0ff5fac89d6c7db256f0b63a85)) + + +### Chores + +* Remove deprecated/unused remote spec feature ([ce3dfa8](https://github.com/openai/openai-node/commit/ce3dfa88bd4d395debccc0e6e1aac6d218b07cb8)) + +## 4.91.0 (2025-03-31) + +Full Changelog: [v4.90.0...v4.91.0](https://github.com/openai/openai-node/compare/v4.90.0...v4.91.0) + +### Features + +* **api:** add `get /responses/{response_id}/input_items` endpoint ([ef0e0ac](https://github.com/openai/openai-node/commit/ef0e0acd469379ae6f2745c83e6c6813ff7b4edc)) + + +### Performance Improvements + +* **embedding:** default embedding creation to base64 ([#1312](https://github.com/openai/openai-node/issues/1312)) ([e54530e](https://github.com/openai/openai-node/commit/e54530e4f6f00d7d74fc8636bbdb6f6280548750)), closes [#1310](https://github.com/openai/openai-node/issues/1310) + +## 4.90.0 (2025-03-27) + +Full Changelog: [v4.89.1...v4.90.0](https://github.com/openai/openai-node/compare/v4.89.1...v4.90.0) + +### Features + +* **api:** add `get /chat/completions` endpoint ([2d6710a](https://github.com/openai/openai-node/commit/2d6710a1f9dd4f768d9c73e9c9f5f93c737cdc66)) + + +### Bug Fixes + +* **audio:** correctly handle transcription streaming ([2a9b603](https://github.com/openai/openai-node/commit/2a9b60336cd40a4d4fb9b898ece49170ad648fd0)) +* **internal:** work around https://github.com/vercel/next.js/issues/76881 ([#1427](https://github.com/openai/openai-node/issues/1427)) ([b467e94](https://github.com/openai/openai-node/commit/b467e949476621e8e92587a83c9de6fab35b2b9d)) + + +### Chores + +* add hash of OpenAPI spec/config inputs to .stats.yml ([45db35e](https://github.com/openai/openai-node/commit/45db35e34be560c75bf36224cc153c6d0e6e2a88)) +* **api:** updates to supported Voice IDs ([#1424](https://github.com/openai/openai-node/issues/1424)) ([404f4db](https://github.com/openai/openai-node/commit/404f4db41a2ee651f5bfdaa7b8881e1bf015f058)) +* **client:** expose headers on some streaming errors ([#1423](https://github.com/openai/openai-node/issues/1423)) ([b0783cc](https://github.com/openai/openai-node/commit/b0783cc6221b68f1738e759b393756a7d0e540a3)) + +## 4.89.1 (2025-03-26) + +Full Changelog: [v4.89.0...v4.89.1](https://github.com/openai/openai-node/compare/v4.89.0...v4.89.1) + +### Bug Fixes + +* avoid type error in certain environments ([#1413](https://github.com/openai/openai-node/issues/1413)) ([d3f6f8f](https://github.com/openai/openai-node/commit/d3f6f8f9c7511a98cc5795756fee49a30e44d485)) +* **client:** remove duplicate types ([#1410](https://github.com/openai/openai-node/issues/1410)) ([338878b](https://github.com/openai/openai-node/commit/338878bf484dac5a4fadf50592b1f8d1045cd4b6)) +* **exports:** add missing type exports ([#1417](https://github.com/openai/openai-node/issues/1417)) ([2d15ada](https://github.com/openai/openai-node/commit/2d15ada0e0d81a4e0d097dddbe99be2222c4c0ef)) + + +### Chores + +* **internal:** version bump ([#1408](https://github.com/openai/openai-node/issues/1408)) ([9c0949a](https://github.com/openai/openai-node/commit/9c0949a93c3e181d327f820dbc2a4b0ad77258e9)) + +## 4.89.0 (2025-03-20) + +Full Changelog: [v4.88.0...v4.89.0](https://github.com/openai/openai-node/compare/v4.88.0...v4.89.0) + +### Features + +* add audio helpers ([ea1b6b4](https://github.com/openai/openai-node/commit/ea1b6b4ef38813af568b3662037519da9404b80e)) +* **api:** new models for TTS, STT, + new audio features for Realtime ([#1407](https://github.com/openai/openai-node/issues/1407)) ([142933a](https://github.com/openai/openai-node/commit/142933ae70d06045dbf4661cd72c7fa35ae7903d)) + + +### Chores + +* **internal:** version bump ([#1400](https://github.com/openai/openai-node/issues/1400)) ([6838ab4](https://github.com/openai/openai-node/commit/6838ab4268c7c0e083e7be21ef1a51bdea0f0b57)) + +## 4.88.0 (2025-03-19) + +Full Changelog: [v4.87.4...v4.88.0](https://github.com/openai/openai-node/compare/v4.87.4...v4.88.0) + +### Features + +* **api:** o1-pro now available through the API ([#1398](https://github.com/openai/openai-node/issues/1398)) ([616a7e9](https://github.com/openai/openai-node/commit/616a7e90e764882cd749a65af8cc6ae8734fc80d)) + + +### Chores + +* **exports:** cleaner resource index imports ([#1396](https://github.com/openai/openai-node/issues/1396)) ([26b0856](https://github.com/openai/openai-node/commit/26b0856cd63846c34b75895a1ea42ceec7908c1a)) +* **exports:** stop using path fallbacks ([#1397](https://github.com/openai/openai-node/issues/1397)) ([d1479c2](https://github.com/openai/openai-node/commit/d1479c23aff68dd46c73fd31896dd2298a6bf140)) +* **internal:** version bump ([#1393](https://github.com/openai/openai-node/issues/1393)) ([7f16c3a](https://github.com/openai/openai-node/commit/7f16c3aa7b1ab36541219c5a0f93fc518733d0e3)) + +## 4.87.4 (2025-03-18) + +Full Changelog: [v4.87.3...v4.87.4](https://github.com/openai/openai-node/compare/v4.87.3...v4.87.4) + +### Bug Fixes + +* **api:** correct some Responses types ([#1391](https://github.com/openai/openai-node/issues/1391)) ([af45876](https://github.com/openai/openai-node/commit/af458766ac721fb6cf18e7d78c458506c8bfc4e1)) +* **types:** ignore missing `id` in responses pagination ([1b9d20e](https://github.com/openai/openai-node/commit/1b9d20e71f5afbd4999f1999fe4810175476c5d2)) +* **types:** improve responses type names ([#1392](https://github.com/openai/openai-node/issues/1392)) ([164f476](https://github.com/openai/openai-node/commit/164f47606b41fd3e2850f8209eb1c6e2996a81ff)) + + +### Chores + +* add missing type alias exports ([#1390](https://github.com/openai/openai-node/issues/1390)) ([16c5e22](https://github.com/openai/openai-node/commit/16c5e2261c8c1a0ba96c2d5f475e8b1bc67387d7)) +* **internal:** add back release workflow ([dddf29b](https://github.com/openai/openai-node/commit/dddf29bd914a02d4586b239ec06217389a4409f9)) +* **internal:** remove CI condition ([#1381](https://github.com/openai/openai-node/issues/1381)) ([ef17981](https://github.com/openai/openai-node/commit/ef17981a0bd6b3e971986ece829c5d260d7392d4)) +* **internal:** run CI on update-specs branch ([9fc2130](https://github.com/openai/openai-node/commit/9fc2130b74a5919a3bbd41926903bdb310de4446)) +* **internal:** update release workflows ([90b77d0](https://github.com/openai/openai-node/commit/90b77d09c04d21487aa38fe775c79ae632136813)) + +## 4.87.3 (2025-03-11) + +Full Changelog: [v4.87.2...v4.87.3](https://github.com/openai/openai-node/compare/v4.87.2...v4.87.3) + +### Bug Fixes + +* **responses:** correct reasoning output type ([2abef57](https://github.com/openai/openai-node/commit/2abef57d7645a96a4b9a6b91483861cd568d2d4d)) + +## 4.87.2 (2025-03-11) + +Full Changelog: [v4.87.1...v4.87.2](https://github.com/openai/openai-node/compare/v4.87.1...v4.87.2) + +### Bug Fixes + +* **responses:** correctly add output_text ([4ceb5cc](https://github.com/openai/openai-node/commit/4ceb5cc516b8c75d46f0042534d7658796a8cd71)) + +## 4.87.1 (2025-03-11) + +Full Changelog: [v4.87.0...v4.87.1](https://github.com/openai/openai-node/compare/v4.87.0...v4.87.1) + +### Bug Fixes + +* correct imports ([5cdf17c](https://github.com/openai/openai-node/commit/5cdf17cec33da7cf540b8bdbcfa30c0c52842dd1)) + +## 4.87.0 (2025-03-11) + +Full Changelog: [v4.86.2...v4.87.0](https://github.com/openai/openai-node/compare/v4.86.2...v4.87.0) + +### Features + +* **api:** add /v1/responses and built-in tools ([119b584](https://github.com/openai/openai-node/commit/119b5843a18b8014167c8d2031d75c08dbf400a3)) + +## 4.86.2 (2025-03-05) + +Full Changelog: [v4.86.1...v4.86.2](https://github.com/openai/openai-node/compare/v4.86.1...v4.86.2) + +### Chores + +* **internal:** run example files in CI ([#1357](https://github.com/openai/openai-node/issues/1357)) ([88d0050](https://github.com/openai/openai-node/commit/88d0050336749deb3810b4cb43473de1f84e42bd)) + +## 4.86.1 (2025-02-27) + +Full Changelog: [v4.86.0...v4.86.1](https://github.com/openai/openai-node/compare/v4.86.0...v4.86.1) + +### Documentation + +* update URLs from stainlessapi.com to stainless.com ([#1352](https://github.com/openai/openai-node/issues/1352)) ([8294e9e](https://github.com/openai/openai-node/commit/8294e9ef57ed98722105b56d205ebea9d028f671)) + +## 4.86.0 (2025-02-27) + +Full Changelog: [v4.85.4...v4.86.0](https://github.com/openai/openai-node/compare/v4.85.4...v4.86.0) + +### Features + +* **api:** add gpt-4.5-preview ([#1349](https://github.com/openai/openai-node/issues/1349)) ([2a1d36b](https://github.com/openai/openai-node/commit/2a1d36b560323fca058f98607775642370e90a47)) + +## 4.85.4 (2025-02-22) + +Full Changelog: [v4.85.3...v4.85.4](https://github.com/openai/openai-node/compare/v4.85.3...v4.85.4) + +### Chores + +* **internal:** fix devcontainers setup ([#1343](https://github.com/openai/openai-node/issues/1343)) ([cb1ec90](https://github.com/openai/openai-node/commit/cb1ec907832e325bc29abe94ae325e0477cb87d1)) + +## 4.85.3 (2025-02-20) + +Full Changelog: [v4.85.2...v4.85.3](https://github.com/openai/openai-node/compare/v4.85.2...v4.85.3) + +### Bug Fixes + +* **parsing:** remove tool_calls default empty array ([#1341](https://github.com/openai/openai-node/issues/1341)) ([2672160](https://github.com/openai/openai-node/commit/26721608e61949daa9592483e89b79230bb9198a)) + +## 4.85.2 (2025-02-18) + +Full Changelog: [v4.85.1...v4.85.2](https://github.com/openai/openai-node/compare/v4.85.1...v4.85.2) + +### Bug Fixes + +* optimize sse chunk reading off-by-one error ([#1339](https://github.com/openai/openai-node/issues/1339)) ([c82795b](https://github.com/openai/openai-node/commit/c82795b189c73d1c0e3bc3a40d0d4a2558b0483a)) + +## 4.85.1 (2025-02-14) + +Full Changelog: [v4.85.0...v4.85.1](https://github.com/openai/openai-node/compare/v4.85.0...v4.85.1) + +### Bug Fixes + +* **client:** fix export map for index exports ([#1328](https://github.com/openai/openai-node/issues/1328)) ([647ba7a](https://github.com/openai/openai-node/commit/647ba7a52311928f604c72b2cc95698c0837887f)) +* **package:** add chat/completions.ts back in ([#1333](https://github.com/openai/openai-node/issues/1333)) ([e4b5546](https://github.com/openai/openai-node/commit/e4b554632ab1646da831f29413fefb3378c49cc1)) + + +### Chores + +* **internal:** add missing return type annotation ([#1334](https://github.com/openai/openai-node/issues/1334)) ([53e0856](https://github.com/openai/openai-node/commit/53e0856ec4d36deee4d71b5aaf436df0a59b9402)) + +## 4.85.0 (2025-02-13) + +Full Changelog: [v4.84.1...v4.85.0](https://github.com/openai/openai-node/compare/v4.84.1...v4.85.0) + +### Features + +* **api:** add support for storing chat completions ([#1327](https://github.com/openai/openai-node/issues/1327)) ([8d77f8e](https://github.com/openai/openai-node/commit/8d77f8e3c4801b7fa1e7c6f50b48c1de1f43f3e6)) + + +### Bug Fixes + +* **realtime:** call .toString() on WebSocket url ([#1324](https://github.com/openai/openai-node/issues/1324)) ([09bc50d](https://github.com/openai/openai-node/commit/09bc50d439679b6acfd2441e69ee5aa18c00e5d9)) + +## 4.84.1 (2025-02-13) + +Full Changelog: [v4.84.0...v4.84.1](https://github.com/openai/openai-node/compare/v4.84.0...v4.84.1) + +### Bug Fixes + +* **realtime:** correct websocket type var constraint ([#1321](https://github.com/openai/openai-node/issues/1321)) ([afb17ea](https://github.com/openai/openai-node/commit/afb17ea6497b860ebbe5d8e68e4a97681dd307ff)) + +## 4.84.0 (2025-02-12) + +Full Changelog: [v4.83.0...v4.84.0](https://github.com/openai/openai-node/compare/v4.83.0...v4.84.0) + +### Features + +* **pagination:** avoid fetching when has_more: false ([#1305](https://github.com/openai/openai-node/issues/1305)) ([b6944c6](https://github.com/openai/openai-node/commit/b6944c634b53c9084f2ccf777c2491e89b2cc7af)) + + +### Bug Fixes + +* **api:** add missing reasoning effort + model enums ([#1302](https://github.com/openai/openai-node/issues/1302)) ([14c55c3](https://github.com/openai/openai-node/commit/14c55c312e31f1ed46d02f39a99049f785504a53)) +* **assistants:** handle `thread.run.incomplete` event ([7032cc4](https://github.com/openai/openai-node/commit/7032cc40b8aa0a58459cf114bceb8028a8517400)) +* correctly decode multi-byte characters over multiple chunks ([#1316](https://github.com/openai/openai-node/issues/1316)) ([dd776c4](https://github.com/openai/openai-node/commit/dd776c4867401f527f699bd4b9e567890256e849)) + + +### Chores + +* **internal:** remove segfault-handler dependency ([3521ca3](https://github.com/openai/openai-node/commit/3521ca34e7f5bd51542084e27c084a5d7cc5448b)) + + +### Documentation + +* **readme:** cleanup into multiple files ([da94424](https://github.com/openai/openai-node/commit/da944242e542e9e5e51cb11853c621fc6825ac02)) + +## 4.83.0 (2025-02-05) + +Full Changelog: [v4.82.0...v4.83.0](https://github.com/openai/openai-node/compare/v4.82.0...v4.83.0) + +### Features + +* **client:** send `X-Stainless-Timeout` header ([#1299](https://github.com/openai/openai-node/issues/1299)) ([ddfc686](https://github.com/openai/openai-node/commit/ddfc686f43a3420c3adf8dec2e82b4d10a121eb8)) + + +### Bug Fixes + +* **api/types:** correct audio duration & role types ([#1300](https://github.com/openai/openai-node/issues/1300)) ([a955ac2](https://github.com/openai/openai-node/commit/a955ac2bf5bee663d530d0c82b0005bf3ce6fc47)) +* **azure/audio:** use model param for deployments ([#1297](https://github.com/openai/openai-node/issues/1297)) ([85de382](https://github.com/openai/openai-node/commit/85de382db17cbe5f112650e79d0fc1cc841efbb2)) + +## 4.82.0 (2025-01-31) + +Full Changelog: [v4.81.0...v4.82.0](https://github.com/openai/openai-node/compare/v4.81.0...v4.82.0) + +### Features + +* **api:** add o3-mini ([#1295](https://github.com/openai/openai-node/issues/1295)) ([378e2f7](https://github.com/openai/openai-node/commit/378e2f7af62c570adb4c7644a4d49576b698de41)) + + +### Bug Fixes + +* **examples/realtime:** remove duplicate `session.update` call ([#1293](https://github.com/openai/openai-node/issues/1293)) ([ad800b4](https://github.com/openai/openai-node/commit/ad800b4f9410c6838994c24a3386ea708717f72b)) +* **types:** correct metadata type + other fixes ([378e2f7](https://github.com/openai/openai-node/commit/378e2f7af62c570adb4c7644a4d49576b698de41)) + +## 4.81.0 (2025-01-29) + +Full Changelog: [v4.80.1...v4.81.0](https://github.com/openai/openai-node/compare/v4.80.1...v4.81.0) + +### Features + +* **azure:** Realtime API support ([#1287](https://github.com/openai/openai-node/issues/1287)) ([fe090c0](https://github.com/openai/openai-node/commit/fe090c0a57570217eb0b431e2cce40bf61de2b75)) + +## 4.80.1 (2025-01-24) + +Full Changelog: [v4.80.0...v4.80.1](https://github.com/openai/openai-node/compare/v4.80.0...v4.80.1) + +### Bug Fixes + +* **azure:** include retry count header ([3e0ba40](https://github.com/openai/openai-node/commit/3e0ba409e57ce276fb1f95cd11c801e4ccaad572)) + + +### Documentation + +* fix typo, "zodFunctionTool" -> "zodFunction" ([#1128](https://github.com/openai/openai-node/issues/1128)) ([b7ab6bb](https://github.com/openai/openai-node/commit/b7ab6bb304973ade94830f37eb646e800226d5ef)) +* **helpers:** fix type annotation ([fc019df](https://github.com/openai/openai-node/commit/fc019df1d9cc276e8f8e689742853a09aa94991a)) +* **readme:** fix realtime errors docs link ([#1286](https://github.com/openai/openai-node/issues/1286)) ([d1d50c8](https://github.com/openai/openai-node/commit/d1d50c897c18cefea964e8057fe1acfd766ae2bf)) + +## 4.80.0 (2025-01-22) + +Full Changelog: [v4.79.4...v4.80.0](https://github.com/openai/openai-node/compare/v4.79.4...v4.80.0) + +### Features + +* **api:** update enum values, comments, and examples ([#1280](https://github.com/openai/openai-node/issues/1280)) ([d38f2c2](https://github.com/openai/openai-node/commit/d38f2c2648b6990f217c3c7d83ca31f3739641d3)) + +## 4.79.4 (2025-01-21) + +Full Changelog: [v4.79.3...v4.79.4](https://github.com/openai/openai-node/compare/v4.79.3...v4.79.4) + +### Bug Fixes + +* **jsr:** correct zod config ([e45fa5f](https://github.com/openai/openai-node/commit/e45fa5f535ca74789636001e60e33edcad4db83c)) + + +### Chores + +* **internal:** minor restructuring ([#1278](https://github.com/openai/openai-node/issues/1278)) ([58ea92a](https://github.com/openai/openai-node/commit/58ea92a7464a04223f24ba31dbc0f7d0cf99cc19)) + + +### Documentation + +* update deprecation messages ([#1275](https://github.com/openai/openai-node/issues/1275)) ([1c6599e](https://github.com/openai/openai-node/commit/1c6599e47ef75a71cb309a1e14d97bc97bd036d0)) + +## 4.79.3 (2025-01-21) + +Full Changelog: [v4.79.2...v4.79.3](https://github.com/openai/openai-node/compare/v4.79.2...v4.79.3) + +### Bug Fixes + +* **jsr:** export zod helpers ([9dc55b6](https://github.com/openai/openai-node/commit/9dc55b62b564ad5ad1d4a60fe520b68235d05296)) + +## 4.79.2 (2025-01-21) + +Full Changelog: [v4.79.1...v4.79.2](https://github.com/openai/openai-node/compare/v4.79.1...v4.79.2) + +### Chores + +* **internal:** add test ([#1270](https://github.com/openai/openai-node/issues/1270)) ([b7c2d3d](https://github.com/openai/openai-node/commit/b7c2d3d9abd315f1452a578b0fd0d82e6ac4ff60)) + + +### Documentation + +* **readme:** fix Realtime API example link ([#1272](https://github.com/openai/openai-node/issues/1272)) ([d0653c7](https://github.com/openai/openai-node/commit/d0653c7fef48360d137a7411dfdfb95d477cdbc5)) + +## 4.79.1 (2025-01-17) + +Full Changelog: [v4.79.0...v4.79.1](https://github.com/openai/openai-node/compare/v4.79.0...v4.79.1) + +### Bug Fixes + +* **realtime:** correct import syntax ([#1267](https://github.com/openai/openai-node/issues/1267)) ([74702a7](https://github.com/openai/openai-node/commit/74702a739f566810d2b6c4e0832cfa17a1d1e272)) + +## 4.79.0 (2025-01-17) + +Full Changelog: [v4.78.1...v4.79.0](https://github.com/openai/openai-node/compare/v4.78.1...v4.79.0) + +### Features + +* **client:** add Realtime API support ([#1266](https://github.com/openai/openai-node/issues/1266)) ([7160ebe](https://github.com/openai/openai-node/commit/7160ebe647769fbf48a600c9961d1a6f86dc9622)) + + +### Bug Fixes + +* **logs/azure:** redact sensitive header when DEBUG is set ([#1218](https://github.com/openai/openai-node/issues/1218)) ([6a72fd7](https://github.com/openai/openai-node/commit/6a72fd736733db19504a829bf203b39d5b9e3644)) + + +### Chores + +* fix streaming ([379c743](https://github.com/openai/openai-node/commit/379c7435ed5d508458e9cdc22386039b84fcec5e)) +* **internal:** streaming refactors ([#1261](https://github.com/openai/openai-node/issues/1261)) ([dd4af93](https://github.com/openai/openai-node/commit/dd4af939792583854a313367c5fe2f98eea2f3c8)) +* **types:** add `| undefined` to client options properties ([#1264](https://github.com/openai/openai-node/issues/1264)) ([5e56979](https://github.com/openai/openai-node/commit/5e569799b9ac8f915b16de90d91d38b568c1edce)) +* **types:** rename vector store chunking strategy ([#1263](https://github.com/openai/openai-node/issues/1263)) ([d31acee](https://github.com/openai/openai-node/commit/d31acee860c80ba945d4e70b956c7ed75f5f849a)) + +## 4.78.1 (2025-01-10) + +Full Changelog: [v4.78.0...v4.78.1](https://github.com/openai/openai-node/compare/v4.78.0...v4.78.1) + +### Bug Fixes + +* send correct Accept header for certain endpoints ([#1257](https://github.com/openai/openai-node/issues/1257)) ([8756693](https://github.com/openai/openai-node/commit/8756693c5690b16045cdd8d33636fe7643d45f3a)) + +## 4.78.0 (2025-01-09) + +Full Changelog: [v4.77.4...v4.78.0](https://github.com/openai/openai-node/compare/v4.77.4...v4.78.0) + +### Features + +* **client:** add realtime types ([#1254](https://github.com/openai/openai-node/issues/1254)) ([7130995](https://github.com/openai/openai-node/commit/71309957a9a0883cac84b8b57697b796a9df3503)) + +## 4.77.4 (2025-01-08) + +Full Changelog: [v4.77.3...v4.77.4](https://github.com/openai/openai-node/compare/v4.77.3...v4.77.4) + +### Documentation + +* **readme:** fix misplaced period ([#1252](https://github.com/openai/openai-node/issues/1252)) ([c2fe465](https://github.com/openai/openai-node/commit/c2fe46522d59d1611ba8bb2b7e070f9be7264df0)) + +## 4.77.3 (2025-01-03) + +Full Changelog: [v4.77.2...v4.77.3](https://github.com/openai/openai-node/compare/v4.77.2...v4.77.3) + +### Chores + +* **api:** bump spec version ([#1248](https://github.com/openai/openai-node/issues/1248)) ([37b3df9](https://github.com/openai/openai-node/commit/37b3df9ac6af76fea6eace8307aab9f0565e5660)) + +## 4.77.2 (2025-01-02) + +Full Changelog: [v4.77.1...v4.77.2](https://github.com/openai/openai-node/compare/v4.77.1...v4.77.2) + +### Chores + +* bump license year ([#1246](https://github.com/openai/openai-node/issues/1246)) ([13197c1](https://github.com/openai/openai-node/commit/13197c1698f492529bd00b62d95f83c039ef0ac7)) + +## 4.77.1 (2024-12-21) + +Full Changelog: [v4.77.0...v4.77.1](https://github.com/openai/openai-node/compare/v4.77.0...v4.77.1) + +### Bug Fixes + +* **client:** normalize method ([#1235](https://github.com/openai/openai-node/issues/1235)) ([4a213da](https://github.com/openai/openai-node/commit/4a213dad6f2104dc02a75724acc62134d25db472)) + + +### Chores + +* **internal:** spec update ([#1231](https://github.com/openai/openai-node/issues/1231)) ([a97ea73](https://github.com/openai/openai-node/commit/a97ea73cafcb56e94be7ff691c4022da575cf60e)) + + +### Documentation + +* minor formatting changes ([#1236](https://github.com/openai/openai-node/issues/1236)) ([6387968](https://github.com/openai/openai-node/commit/63879681ccaca3dc1e17b27464e2f830b8f63b4f)) +* **readme:** add alpha callout ([f2eff37](https://github.com/openai/openai-node/commit/f2eff3780e1216f7f420f7b86d47f4e21986b10e)) + +## 4.77.0 (2024-12-17) + +Full Changelog: [v4.76.3...v4.77.0](https://github.com/openai/openai-node/compare/v4.76.3...v4.77.0) + +### Features + +* **api:** new o1 and GPT-4o models + preference fine-tuning ([#1229](https://github.com/openai/openai-node/issues/1229)) ([2e872d4](https://github.com/openai/openai-node/commit/2e872d4ac3717ab8f61741efffb7a31acd798338)) + + +### Chores + +* **internal:** fix some typos ([#1227](https://github.com/openai/openai-node/issues/1227)) ([d51fcfe](https://github.com/openai/openai-node/commit/d51fcfe3a66550a684eeeb0e6f17e1d9825cdf78)) +* **internal:** spec update ([#1230](https://github.com/openai/openai-node/issues/1230)) ([ed2b61d](https://github.com/openai/openai-node/commit/ed2b61d32703b64d9f91223bc02627a607f60483)) + +## 4.76.3 (2024-12-13) + +Full Changelog: [v4.76.2...v4.76.3](https://github.com/openai/openai-node/compare/v4.76.2...v4.76.3) + +### Chores + +* **internal:** better ecosystem test debugging ([86fc0a8](https://github.com/openai/openai-node/commit/86fc0a81ede2780d3fcebaabff3d9fa9a36cc9c0)) + + +### Documentation + +* **README:** fix helpers section links ([#1224](https://github.com/openai/openai-node/issues/1224)) ([efbe30a](https://github.com/openai/openai-node/commit/efbe30a156cec1836d3db28f663066b33be57ba2)) + +## 4.76.2 (2024-12-12) + +Full Changelog: [v4.76.1...v4.76.2](https://github.com/openai/openai-node/compare/v4.76.1...v4.76.2) + +### Chores + +* **internal:** update isAbsoluteURL ([#1223](https://github.com/openai/openai-node/issues/1223)) ([e908ed7](https://github.com/openai/openai-node/commit/e908ed759996fb7706baf46d094fc77419423971)) +* **types:** nicer error class types + jsdocs ([#1219](https://github.com/openai/openai-node/issues/1219)) ([576d24c](https://github.com/openai/openai-node/commit/576d24cc4b3d766dfe28a6031bdc24ac1b711655)) + +## 4.76.1 (2024-12-10) + +Full Changelog: [v4.76.0...v4.76.1](https://github.com/openai/openai-node/compare/v4.76.0...v4.76.1) + +### Chores + +* **internal:** bump cross-spawn to v7.0.6 ([#1217](https://github.com/openai/openai-node/issues/1217)) ([c07ad29](https://github.com/openai/openai-node/commit/c07ad298d58e5aeaf816ee3de65fd59bf3fc8b66)) +* **internal:** remove unnecessary getRequestClient function ([#1215](https://github.com/openai/openai-node/issues/1215)) ([bef3925](https://github.com/openai/openai-node/commit/bef392526cd339f45c574bc476649c77be36c612)) + +## 4.76.0 (2024-12-05) + +Full Changelog: [v4.75.0...v4.76.0](https://github.com/openai/openai-node/compare/v4.75.0...v4.76.0) + +### Features + +* **api:** updates ([#1212](https://github.com/openai/openai-node/issues/1212)) ([e0fedf2](https://github.com/openai/openai-node/commit/e0fedf2c5a91d0c03d8dad6854b366f77eab4923)) + + +### Chores + +* bump openapi url ([#1210](https://github.com/openai/openai-node/issues/1210)) ([3fa95a4](https://github.com/openai/openai-node/commit/3fa95a429d4b2adecce35a7b96b73f6d5e88eeeb)) + +## 4.75.0 (2024-12-03) + +Full Changelog: [v4.74.0...v4.75.0](https://github.com/openai/openai-node/compare/v4.74.0...v4.75.0) + +### Features + +* improve docs for jsr README.md ([#1208](https://github.com/openai/openai-node/issues/1208)) ([338527e](https://github.com/openai/openai-node/commit/338527e40361e2de899a63f280d4ec2db5e87f3c)) + +## 4.74.0 (2024-12-02) + +Full Changelog: [v4.73.1...v4.74.0](https://github.com/openai/openai-node/compare/v4.73.1...v4.74.0) + +### Features + +* **internal:** make git install file structure match npm ([#1204](https://github.com/openai/openai-node/issues/1204)) ([e7c4c6d](https://github.com/openai/openai-node/commit/e7c4c6d23adbe52300053a8d35db6e341c438703)) + +## 4.73.1 (2024-11-25) + +Full Changelog: [v4.73.0...v4.73.1](https://github.com/openai/openai-node/compare/v4.73.0...v4.73.1) + +### Documentation + +* **readme:** mention `.withResponse()` for streaming request ID ([#1202](https://github.com/openai/openai-node/issues/1202)) ([b6800d4](https://github.com/openai/openai-node/commit/b6800d4dea2729fe3b0864171ce8fb3b2cc1b21c)) + +## 4.73.0 (2024-11-20) + +Full Changelog: [v4.72.0...v4.73.0](https://github.com/openai/openai-node/compare/v4.72.0...v4.73.0) + +### Features + +* **api:** add gpt-4o-2024-11-20 model ([#1201](https://github.com/openai/openai-node/issues/1201)) ([0feeafd](https://github.com/openai/openai-node/commit/0feeafd21ba4b6281cc3b9dafa2919b1e2e4d1c3)) +* bump model in all example snippets to gpt-4o ([6961c37](https://github.com/openai/openai-node/commit/6961c37f2e581bcc12ec2bbe77df2b9b260fe297)) + + +### Bug Fixes + +* **docs:** add missing await to pagination example ([#1190](https://github.com/openai/openai-node/issues/1190)) ([524b9e8](https://github.com/openai/openai-node/commit/524b9e82ae13a3b5093dcfbfd1169a798cf99ab4)) + + +### Chores + +* **client:** drop unused devDependency ([#1191](https://github.com/openai/openai-node/issues/1191)) ([8ee6c03](https://github.com/openai/openai-node/commit/8ee6c0335673f2ecf84ea11bdfc990adab607e20)) +* **internal:** spec update ([#1195](https://github.com/openai/openai-node/issues/1195)) ([12f9334](https://github.com/openai/openai-node/commit/12f93346857196b93f94865cc3744d769e5e519c)) +* **internal:** use reexports not destructuring ([#1181](https://github.com/openai/openai-node/issues/1181)) ([f555dd6](https://github.com/openai/openai-node/commit/f555dd6503bc4ccd4d13f4e1a1d36fbbfd51c369)) + + +### Documentation + +* bump models in example snippets to gpt-4o ([#1184](https://github.com/openai/openai-node/issues/1184)) ([4ec4027](https://github.com/openai/openai-node/commit/4ec402790cf3cfbccbf3ef9b61d577b0118977e8)) +* change readme title ([#1198](https://github.com/openai/openai-node/issues/1198)) ([e34981c](https://github.com/openai/openai-node/commit/e34981c00f2f0360baffe870bcc38786030671bf)) +* improve jsr documentation ([#1197](https://github.com/openai/openai-node/issues/1197)) ([ebdb4f7](https://github.com/openai/openai-node/commit/ebdb4f72cc01afbee649aca009fdaf413e61c507)) +* **readme:** fix incorrect fileBatches.uploadAndPoll params ([#1200](https://github.com/openai/openai-node/issues/1200)) ([3968ef1](https://github.com/openai/openai-node/commit/3968ef1c4fa860ff246e0e803808752b261c18ce)) + +## 4.72.0 (2024-11-12) + +Full Changelog: [v4.71.1...v4.72.0](https://github.com/openai/openai-node/compare/v4.71.1...v4.72.0) + +### Features + +* add back deno runtime testing without type checks ([1626cf5](https://github.com/openai/openai-node/commit/1626cf57e94706e1fc8b2f9ff4f173fe486d5150)) + + +### Chores + +* **ecosystem-tests:** bump wrangler version ([#1178](https://github.com/openai/openai-node/issues/1178)) ([4dfb0c6](https://github.com/openai/openai-node/commit/4dfb0c6aa7c4530665bc7d6beebcd04aa1490e27)) + +## 4.71.1 (2024-11-06) + +Full Changelog: [v4.71.0...v4.71.1](https://github.com/openai/openai-node/compare/v4.71.0...v4.71.1) + +### Bug Fixes + +* change release please configuration for jsr.json ([#1174](https://github.com/openai/openai-node/issues/1174)) ([c39efba](https://github.com/openai/openai-node/commit/c39efba812209c8906315596cc0a56e54ae8590a)) + +## 4.71.0 (2024-11-04) + +Full Changelog: [v4.70.3...v4.71.0](https://github.com/openai/openai-node/compare/v4.70.3...v4.71.0) + +### Features + +* **api:** add support for predicted outputs ([#1172](https://github.com/openai/openai-node/issues/1172)) ([08a7bb4](https://github.com/openai/openai-node/commit/08a7bb4d4b751aeed9655bfcb9fa27fc79a767c4)) + +## 4.70.3 (2024-11-04) + +Full Changelog: [v4.70.2...v4.70.3](https://github.com/openai/openai-node/compare/v4.70.2...v4.70.3) + +### Bug Fixes + +* change streaming helper imports to be relative ([e73b7cf](https://github.com/openai/openai-node/commit/e73b7cf84272bd02a39a67795d49db23db2d970f)) + +## 4.70.2 (2024-11-01) + +Full Changelog: [v4.70.1...v4.70.2](https://github.com/openai/openai-node/compare/v4.70.1...v4.70.2) + +### Bug Fixes + +* add permissions to github workflow ([ee75e00](https://github.com/openai/openai-node/commit/ee75e00b0fbf82553b219ee8948a8077e9c26a24)) +* skip deno ecosystem test ([5b181b0](https://github.com/openai/openai-node/commit/5b181b01b62139f8da35d426914c82b8425af141)) + +## 4.70.1 (2024-11-01) + +Full Changelog: [v4.70.0...v4.70.1](https://github.com/openai/openai-node/compare/v4.70.0...v4.70.1) + +### Bug Fixes + +* don't require deno to run build-deno ([#1167](https://github.com/openai/openai-node/issues/1167)) ([9d857bc](https://github.com/openai/openai-node/commit/9d857bc531a0bb3939f7660e49b31ccc38f60dd3)) + +## 4.70.0 (2024-11-01) + +Full Changelog: [v4.69.0...v4.70.0](https://github.com/openai/openai-node/compare/v4.69.0...v4.70.0) + +### Features + +* publish to jsr ([#1165](https://github.com/openai/openai-node/issues/1165)) ([5aa93a7](https://github.com/openai/openai-node/commit/5aa93a7fe704ef1ad077787852db38dc29104534)) + + +### Chores + +* **internal:** fix isolated modules exports ([9cd1958](https://github.com/openai/openai-node/commit/9cd19584dcc6f4004ea1adcee917aa88a37d5f1c)) + + +### Refactors + +* use type imports for type-only imports ([#1159](https://github.com/openai/openai-node/issues/1159)) ([07bbaf6](https://github.com/openai/openai-node/commit/07bbaf6ecac9a5e36471a35488020853ddf9214f)) + +## 4.69.0 (2024-10-30) + +Full Changelog: [v4.68.4...v4.69.0](https://github.com/openai/openai-node/compare/v4.68.4...v4.69.0) + +### Features + +* **api:** add new, expressive voices for Realtime and Audio in Chat Completions ([#1157](https://github.com/openai/openai-node/issues/1157)) ([12e501c](https://github.com/openai/openai-node/commit/12e501c8a215a2af29b9b8fceedc5935b6f2feef)) + + +### Bug Fixes + +* **internal:** support pnpm git installs ([#1156](https://github.com/openai/openai-node/issues/1156)) ([b744c5b](https://github.com/openai/openai-node/commit/b744c5b609533e9a6694d6cae0425fe9cd37e26c)) + + +### Documentation + +* **readme:** minor typo fixes ([#1154](https://github.com/openai/openai-node/issues/1154)) ([c6c9f9a](https://github.com/openai/openai-node/commit/c6c9f9aaf75f643016ad73574a7e24a228b5c60f)) + +## 4.68.4 (2024-10-23) + +Full Changelog: [v4.68.3...v4.68.4](https://github.com/openai/openai-node/compare/v4.68.3...v4.68.4) + +### Chores + +* **internal:** update spec version ([#1146](https://github.com/openai/openai-node/issues/1146)) ([0165a8d](https://github.com/openai/openai-node/commit/0165a8d79340ede49557e05fd00d6fff9d69d930)) + +## 4.68.3 (2024-10-23) + +Full Changelog: [v4.68.2...v4.68.3](https://github.com/openai/openai-node/compare/v4.68.2...v4.68.3) + +### Chores + +* **internal:** bumps eslint and related dependencies ([#1143](https://github.com/openai/openai-node/issues/1143)) ([2643f42](https://github.com/openai/openai-node/commit/2643f42a36208c36daf23470ffcd227a891284eb)) + +## 4.68.2 (2024-10-22) + +Full Changelog: [v4.68.1...v4.68.2](https://github.com/openai/openai-node/compare/v4.68.1...v4.68.2) + +### Chores + +* **internal:** update spec version ([#1141](https://github.com/openai/openai-node/issues/1141)) ([2ccb3e3](https://github.com/openai/openai-node/commit/2ccb3e357aa2f3eb0fa32c619d8336c3b94cc882)) + +## 4.68.1 (2024-10-18) + +Full Changelog: [v4.68.0...v4.68.1](https://github.com/openai/openai-node/compare/v4.68.0...v4.68.1) + +### Bug Fixes + +* **client:** respect x-stainless-retry-count default headers ([#1138](https://github.com/openai/openai-node/issues/1138)) ([266717b](https://github.com/openai/openai-node/commit/266717b3301828c7df735064a380a055576183bc)) + +## 4.68.0 (2024-10-17) + +Full Changelog: [v4.67.3...v4.68.0](https://github.com/openai/openai-node/compare/v4.67.3...v4.68.0) + +### Features + +* **api:** add gpt-4o-audio-preview model for chat completions ([#1135](https://github.com/openai/openai-node/issues/1135)) ([17a623f](https://github.com/openai/openai-node/commit/17a623f70050bca4538ad2939055cd9d9b165f89)) + +## 4.67.3 (2024-10-08) + +Full Changelog: [v4.67.2...v4.67.3](https://github.com/openai/openai-node/compare/v4.67.2...v4.67.3) + +### Chores + +* **internal:** pass props through internal parser ([#1125](https://github.com/openai/openai-node/issues/1125)) ([5ef8aa8](https://github.com/openai/openai-node/commit/5ef8aa8d308f7374dd01d8079cd76e0d96999ec2)) + +## 4.67.2 (2024-10-07) + +Full Changelog: [v4.67.1...v4.67.2](https://github.com/openai/openai-node/compare/v4.67.1...v4.67.2) + +### Chores + +* **internal:** move LineDecoder to a separate file ([#1120](https://github.com/openai/openai-node/issues/1120)) ([0a4be65](https://github.com/openai/openai-node/commit/0a4be6506bf26d2b9552ff3fd13a22c04b53ea18)) + +## 4.67.1 (2024-10-02) + +Full Changelog: [v4.67.0...v4.67.1](https://github.com/openai/openai-node/compare/v4.67.0...v4.67.1) + +### Documentation + +* improve and reference contributing documentation ([#1115](https://github.com/openai/openai-node/issues/1115)) ([7fa30b3](https://github.com/openai/openai-node/commit/7fa30b3ebf276556141df95ba8e824a0276b61f8)) + +## 4.67.0 (2024-10-01) + +Full Changelog: [v4.66.1...v4.67.0](https://github.com/openai/openai-node/compare/v4.66.1...v4.67.0) + +### Features + +* **api:** support storing chat completions, enabling evals and model distillation in the dashboard ([#1112](https://github.com/openai/openai-node/issues/1112)) ([6424924](https://github.com/openai/openai-node/commit/6424924b6361e54f07c04fce9075ab16fcb712fb)) + +## 4.66.1 (2024-09-30) + +Full Changelog: [v4.66.0...v4.66.1](https://github.com/openai/openai-node/compare/v4.66.0...v4.66.1) + +### Bug Fixes + +* **audio:** add fallback overload types ([0c00a13](https://github.com/openai/openai-node/commit/0c00a13dd864b974d3376c905647209e4a79f244)) +* **audio:** use export type ([1519100](https://github.com/openai/openai-node/commit/1519100e530e08e7683549d0bcdd919b9c2d1654)) + +## 4.66.0 (2024-09-27) + +Full Changelog: [v4.65.0...v4.66.0](https://github.com/openai/openai-node/compare/v4.65.0...v4.66.0) + +### Features + +* **client:** add request_id to `.withResponse()` ([#1095](https://github.com/openai/openai-node/issues/1095)) ([2d0f565](https://github.com/openai/openai-node/commit/2d0f565f124a8862bc24214cc3ddce9db0ba75bc)) + + +### Bug Fixes + +* **audio:** correct types for transcriptions / translations ([#1104](https://github.com/openai/openai-node/issues/1104)) ([96e86c2](https://github.com/openai/openai-node/commit/96e86c214ba79d50035b61e5daa3489f082512c4)) +* **client:** correct types for transcriptions / translations ([#1105](https://github.com/openai/openai-node/issues/1105)) ([fa16ebb](https://github.com/openai/openai-node/commit/fa16ebbb314ebc7c274d27f0148d248edf48e055)) + +## 4.65.0 (2024-09-26) + +Full Changelog: [v4.64.0...v4.65.0](https://github.com/openai/openai-node/compare/v4.64.0...v4.65.0) + +### Features + +* **api:** add omni-moderation model ([#1100](https://github.com/openai/openai-node/issues/1100)) ([66c0f21](https://github.com/openai/openai-node/commit/66c0f21fad3be9c57b810c4a7eebb71eb6ccbcc1)) + +## 4.64.0 (2024-09-25) + +Full Changelog: [v4.63.0...v4.64.0](https://github.com/openai/openai-node/compare/v4.63.0...v4.64.0) + +### Features + +* **client:** allow overriding retry count header ([#1098](https://github.com/openai/openai-node/issues/1098)) ([a466ff7](https://github.com/openai/openai-node/commit/a466ff78a436db82d79a8f53066a85a3b1dbe039)) + + +### Bug Fixes + +* **audio:** correct response_format translations type ([#1097](https://github.com/openai/openai-node/issues/1097)) ([9a5f461](https://github.com/openai/openai-node/commit/9a5f461306e84b62ce1ed8aedbfee90798def5fb)) + + +### Chores + +* **internal:** fix ecosystem tests error output ([#1096](https://github.com/openai/openai-node/issues/1096)) ([ecdb4e9](https://github.com/openai/openai-node/commit/ecdb4e923f94e828d8758559aea78c82417b8f12)) +* **internal:** fix slow ecosystem test ([#1093](https://github.com/openai/openai-node/issues/1093)) ([80ed9ec](https://github.com/openai/openai-node/commit/80ed9ecbd60129164cb407e46dddbc06ef1c54ab)) + +## 4.63.0 (2024-09-20) + +Full Changelog: [v4.62.1...v4.63.0](https://github.com/openai/openai-node/compare/v4.62.1...v4.63.0) + +### Features + +* **client:** send retry count header ([#1087](https://github.com/openai/openai-node/issues/1087)) ([7bcebc0](https://github.com/openai/openai-node/commit/7bcebc0e3965c2decd1dffb1e67f5197260ca89e)) + + +### Chores + +* **types:** improve type name for embedding models ([#1089](https://github.com/openai/openai-node/issues/1089)) ([d6966d9](https://github.com/openai/openai-node/commit/d6966d9872a14b7fbee85a7bb1fae697852b8ce0)) + +## 4.62.1 (2024-09-18) + +Full Changelog: [v4.62.0...v4.62.1](https://github.com/openai/openai-node/compare/v4.62.0...v4.62.1) + +### Bug Fixes + +* **types:** remove leftover polyfill usage ([#1084](https://github.com/openai/openai-node/issues/1084)) ([b7c9538](https://github.com/openai/openai-node/commit/b7c9538981a11005fb0a00774683d979d3ca663a)) + +## 4.62.0 (2024-09-17) + +Full Changelog: [v4.61.1...v4.62.0](https://github.com/openai/openai-node/compare/v4.61.1...v4.62.0) + +### Features + +* **client:** add ._request_id property to object responses ([#1078](https://github.com/openai/openai-node/issues/1078)) ([d5c2131](https://github.com/openai/openai-node/commit/d5c21314449091dd1c668c7358b25e041466f588)) + + +### Chores + +* **internal:** add ecosystem test for qs reproduction ([0199dd8](https://github.com/openai/openai-node/commit/0199dd85981497fac2b60f786acc00ea30683897)) +* **internal:** add query string encoder ([#1079](https://github.com/openai/openai-node/issues/1079)) ([f870682](https://github.com/openai/openai-node/commit/f870682d5c490182547c428b0b5c75da0e34d15a)) +* **internal:** fix some types ([#1082](https://github.com/openai/openai-node/issues/1082)) ([1ec41a7](https://github.com/openai/openai-node/commit/1ec41a7d768502a31abb33bf86b0539e5b4b6541)) +* **tests:** add query string tests to ecosystem tests ([36be724](https://github.com/openai/openai-node/commit/36be724384401bb697d8b07b0a1965be721cfa51)) + +## 4.61.1 (2024-09-16) + +Full Changelog: [v4.61.0...v4.61.1](https://github.com/openai/openai-node/compare/v4.61.0...v4.61.1) + +### Bug Fixes + +* **runTools:** correct request options type ([#1073](https://github.com/openai/openai-node/issues/1073)) ([399f971](https://github.com/openai/openai-node/commit/399f9710f9a1406fe2dd048a1d26418c0de7ff0c)) + + +### Chores + +* **internal:** update spec link ([#1076](https://github.com/openai/openai-node/issues/1076)) ([20f1bcc](https://github.com/openai/openai-node/commit/20f1bcce2b5d03c5185989212a5c5271a8d4209c)) + +## 4.61.0 (2024-09-13) + +Full Changelog: [v4.60.1...v4.61.0](https://github.com/openai/openai-node/compare/v4.60.1...v4.61.0) + +### Bug Fixes + +* **client:** partial parsing update to handle strings ([46e8eb6](https://github.com/openai/openai-node/commit/46e8eb6a9a45b11f9e4c97474ed6c02b1faa43af)) +* **examples:** handle usage chunk in tool call streaming ([#1068](https://github.com/openai/openai-node/issues/1068)) ([e4188c4](https://github.com/openai/openai-node/commit/e4188c4ba443a21d1ef94658df5366f80f0e573b)) + + +### Chores + +* **examples:** add a small delay to tool-calls example streaming ([a3fc659](https://github.com/openai/openai-node/commit/a3fc65928af7085d1d8d785ad4765fedc3955641)) + + +### Documentation + +* update CONTRIBUTING.md ([#1071](https://github.com/openai/openai-node/issues/1071)) ([5de81c9](https://github.com/openai/openai-node/commit/5de81c95d7326602865e007715a76d5595824fd9)) + +## 4.60.1 (2024-09-13) + +Full Changelog: [v4.60.0...v4.60.1](https://github.com/openai/openai-node/compare/v4.60.0...v4.60.1) + +### Bug Fixes + +* **zod:** correctly add $ref definitions for transformed schemas ([#1065](https://github.com/openai/openai-node/issues/1065)) ([9b93b24](https://github.com/openai/openai-node/commit/9b93b24b8ae267fe403fb9cd4876d9772f40878b)) + +## 4.60.0 (2024-09-12) + +Full Changelog: [v4.59.0...v4.60.0](https://github.com/openai/openai-node/compare/v4.59.0...v4.60.0) + +### Features + +* **api:** add o1 models ([#1061](https://github.com/openai/openai-node/issues/1061)) ([224cc04](https://github.com/openai/openai-node/commit/224cc045200cd1ce1517b4376c505de9b9a74ccc)) + +## 4.59.0 (2024-09-11) + +Full Changelog: [v4.58.2...v4.59.0](https://github.com/openai/openai-node/compare/v4.58.2...v4.59.0) + +### Features + +* **structured outputs:** support accessing raw responses ([#1058](https://github.com/openai/openai-node/issues/1058)) ([af17697](https://github.com/openai/openai-node/commit/af176979894ee95a51e09abc239a8fd3a639dcde)) + + +### Documentation + +* **azure:** example for custom base URL ([#1055](https://github.com/openai/openai-node/issues/1055)) ([20defc8](https://github.com/openai/openai-node/commit/20defc80801e1f1f489a07bd1264be71c56c586f)) +* **azure:** remove locale from docs link ([#1054](https://github.com/openai/openai-node/issues/1054)) ([f9b7eac](https://github.com/openai/openai-node/commit/f9b7eac58020cff0e367a15b9a2ca4e7c95cbb89)) + +## 4.58.2 (2024-09-09) + +Full Changelog: [v4.58.1...v4.58.2](https://github.com/openai/openai-node/compare/v4.58.1...v4.58.2) + +### Bug Fixes + +* **errors:** pass message through to APIConnectionError ([#1050](https://github.com/openai/openai-node/issues/1050)) ([5a34316](https://github.com/openai/openai-node/commit/5a3431672e200a6bc161d39873e914434557801e)) + + +### Chores + +* better object fallback behaviour for casting errors ([#1053](https://github.com/openai/openai-node/issues/1053)) ([b7d4619](https://github.com/openai/openai-node/commit/b7d46190d2bb775145a9a3de6408c38abacfa055)) + +## 4.58.1 (2024-09-06) + +Full Changelog: [v4.58.0...v4.58.1](https://github.com/openai/openai-node/compare/v4.58.0...v4.58.1) + +### Chores + +* **docs:** update browser support information ([#1045](https://github.com/openai/openai-node/issues/1045)) ([d326cc5](https://github.com/openai/openai-node/commit/d326cc54a77c450672fbf07d736cec80a9ba72fb)) + +## 4.58.0 (2024-09-05) + +Full Changelog: [v4.57.3...v4.58.0](https://github.com/openai/openai-node/compare/v4.57.3...v4.58.0) + +### Features + +* **vector store:** improve chunking strategy type names ([#1041](https://github.com/openai/openai-node/issues/1041)) ([471cec3](https://github.com/openai/openai-node/commit/471cec3228886253f07c13a362827a31e9ec7b63)) + + +### Bug Fixes + +* **uploads:** avoid making redundant memory copies ([#1043](https://github.com/openai/openai-node/issues/1043)) ([271297b](https://github.com/openai/openai-node/commit/271297bd32393d4c5663023adf82f8fb19dc3d25)) + +## 4.57.3 (2024-09-04) + +Full Changelog: [v4.57.2...v4.57.3](https://github.com/openai/openai-node/compare/v4.57.2...v4.57.3) + +### Bug Fixes + +* **helpers/zod:** avoid import issue in certain environments ([#1039](https://github.com/openai/openai-node/issues/1039)) ([e238daa](https://github.com/openai/openai-node/commit/e238daa7c12f3fb13369f58b9d405365f5efcc8f)) + + +### Chores + +* **internal:** minor bump qs version ([#1037](https://github.com/openai/openai-node/issues/1037)) ([8ec218e](https://github.com/openai/openai-node/commit/8ec218e9efb657927b3c0346822a96872aeaf137)) + +## 4.57.2 (2024-09-04) + +Full Changelog: [v4.57.1...v4.57.2](https://github.com/openai/openai-node/compare/v4.57.1...v4.57.2) + +### Chores + +* **internal:** dependency updates ([#1035](https://github.com/openai/openai-node/issues/1035)) ([e815fb6](https://github.com/openai/openai-node/commit/e815fb6dee75219563d3a7776774ba1c2984560e)) + +## 4.57.1 (2024-09-03) + +Full Changelog: [v4.57.0...v4.57.1](https://github.com/openai/openai-node/compare/v4.57.0...v4.57.1) + +### Bug Fixes + +* **assistants:** correctly accumulate tool calls when streaming ([#1031](https://github.com/openai/openai-node/issues/1031)) ([d935ad3](https://github.com/openai/openai-node/commit/d935ad3fa37b2701f4c9f6e433ada6074280a871)) +* **client:** correct File construction from node-fetch Responses ([#1029](https://github.com/openai/openai-node/issues/1029)) ([22ebdc2](https://github.com/openai/openai-node/commit/22ebdc2ca7d98e0f266110c4cf827e53a0a22026)) +* runTools without stream should not emit user message events ([#1005](https://github.com/openai/openai-node/issues/1005)) ([22ded4d](https://github.com/openai/openai-node/commit/22ded4d549a157482a8de2faf65e92c5be07fa95)) + + +### Chores + +* **internal/tests:** workaround bug in recent types/node release ([3c7bdfd](https://github.com/openai/openai-node/commit/3c7bdfdb373bff77db0e3fecd5d49ddfa4284cd9)) + +## 4.57.0 (2024-08-29) + +Full Changelog: [v4.56.2...v4.57.0](https://github.com/openai/openai-node/compare/v4.56.2...v4.57.0) + +### Features + +* **api:** add file search result details to run steps ([#1023](https://github.com/openai/openai-node/issues/1023)) ([d9acd0a](https://github.com/openai/openai-node/commit/d9acd0a2c52b27983f8db6a8de6a776078b1d41b)) + + +### Bug Fixes + +* install examples deps as part of bootstrap script ([#1022](https://github.com/openai/openai-node/issues/1022)) ([eae8e36](https://github.com/openai/openai-node/commit/eae8e36fd5514eb60773646ec775badde50e783c)) + +## 4.56.2 (2024-08-29) + +Full Changelog: [v4.56.1...v4.56.2](https://github.com/openai/openai-node/compare/v4.56.1...v4.56.2) + +### Chores + +* run tsc as part of lint script ([#1020](https://github.com/openai/openai-node/issues/1020)) ([4942347](https://github.com/openai/openai-node/commit/49423472f2b0a0b63961174bedfc00bfd99d47f9)) + +## 4.56.1 (2024-08-27) + +Full Changelog: [v4.56.0...v4.56.1](https://github.com/openai/openai-node/compare/v4.56.0...v4.56.1) + +### Chores + +* **ci:** check for build errors ([#1013](https://github.com/openai/openai-node/issues/1013)) ([7ff2127](https://github.com/openai/openai-node/commit/7ff21273091a605e05173502654cfb9c90a4382e)) + +## 4.56.0 (2024-08-16) + +Full Changelog: [v4.55.9...v4.56.0](https://github.com/openai/openai-node/compare/v4.55.9...v4.56.0) + +### Features + +* **api:** add chatgpt-4o-latest model ([edc4398](https://github.com/openai/openai-node/commit/edc43986ba96a0fda48f7eea368efe706f68dcac)) + +## 4.55.9 (2024-08-16) + +Full Changelog: [v4.55.8...v4.55.9](https://github.com/openai/openai-node/compare/v4.55.8...v4.55.9) + +### Bug Fixes + +* **azure/tts:** avoid stripping model param ([#999](https://github.com/openai/openai-node/issues/999)) ([c3a7ccd](https://github.com/openai/openai-node/commit/c3a7ccdbd6d9a2576509c2dc6c1605bc73c6dde7)) + +## 4.55.8 (2024-08-15) + +Full Changelog: [v4.55.7...v4.55.8](https://github.com/openai/openai-node/compare/v4.55.7...v4.55.8) + +### Chores + +* **types:** define FilePurpose enum ([#997](https://github.com/openai/openai-node/issues/997)) ([19b941b](https://github.com/openai/openai-node/commit/19b941be4ff3e4fa7e67b820a5aac51e5c8d4f60)) + +## 4.55.7 (2024-08-13) + +Full Changelog: [v4.55.6...v4.55.7](https://github.com/openai/openai-node/compare/v4.55.6...v4.55.7) + +### Bug Fixes + +* **json-schema:** correct handling of nested recursive schemas ([#992](https://github.com/openai/openai-node/issues/992)) ([ac309ab](https://github.com/openai/openai-node/commit/ac309abee3419594f45680c7d0ab11e13ce28c5b)) + +## 4.55.6 (2024-08-13) + +Full Changelog: [v4.55.5...v4.55.6](https://github.com/openai/openai-node/compare/v4.55.5...v4.55.6) + +### Bug Fixes + +* **zod-to-json-schema:** correct licensing ([#986](https://github.com/openai/openai-node/issues/986)) ([bd2051e](https://github.com/openai/openai-node/commit/bd2051e501e2ceafcd095f82205c2e668e1d68d7)) + +## 4.55.5 (2024-08-12) + +Full Changelog: [v4.55.4...v4.55.5](https://github.com/openai/openai-node/compare/v4.55.4...v4.55.5) + +### Chores + +* **examples:** minor formatting changes ([#987](https://github.com/openai/openai-node/issues/987)) ([8e6b615](https://github.com/openai/openai-node/commit/8e6b615ada09fa4e50dc8e0b5decf662eed19856)) +* sync openapi url ([#989](https://github.com/openai/openai-node/issues/989)) ([02ff1c5](https://github.com/openai/openai-node/commit/02ff1c55b5eefd8b6193ba2bf10dd5515945bd7a)) + +## 4.55.4 (2024-08-09) + +Full Changelog: [v4.55.3...v4.55.4](https://github.com/openai/openai-node/compare/v4.55.3...v4.55.4) + +### Bug Fixes + +* **helpers/zod:** nested union schema extraction ([#979](https://github.com/openai/openai-node/issues/979)) ([31b05aa](https://github.com/openai/openai-node/commit/31b05aa6fa0445141ae17a1b1eff533b83735f3a)) + + +### Chores + +* **ci:** bump prism mock server version ([#982](https://github.com/openai/openai-node/issues/982)) ([7442643](https://github.com/openai/openai-node/commit/7442643e8445eea15da54843a7c9d7580a402979)) +* **ci:** codeowners file ([#980](https://github.com/openai/openai-node/issues/980)) ([17a42b2](https://github.com/openai/openai-node/commit/17a42b2f6e2de2dce338358a48f6d7d4ed723f6f)) + +## 4.55.3 (2024-08-08) + +Full Changelog: [v4.55.2...v4.55.3](https://github.com/openai/openai-node/compare/v4.55.2...v4.55.3) + +### Chores + +* **internal:** updates ([#975](https://github.com/openai/openai-node/issues/975)) ([313a190](https://github.com/openai/openai-node/commit/313a19059a61893887ac0b57bb488c24bc40f099)) + +## 4.55.2 (2024-08-08) + +Full Changelog: [v4.55.1...v4.55.2](https://github.com/openai/openai-node/compare/v4.55.1...v4.55.2) + +### Bug Fixes + +* **helpers/zod:** add `extract-to-root` ref strategy ([ef3c73c](https://github.com/openai/openai-node/commit/ef3c73cfdf1a8e45346417812168e476fea65690)) +* **helpers/zod:** add `nullableStrategy` option ([ad89892](https://github.com/openai/openai-node/commit/ad89892f4ac0daba161ce97267a165a12f67c341)) +* **helpers/zod:** correct logic for adding root schema to definitions ([e4a247a](https://github.com/openai/openai-node/commit/e4a247a2a87b4d3bde55891b31e07413d3a9f00d)) + + +### Chores + +* **internal:** add README for vendored zod-to-json-schema ([d8a80a9](https://github.com/openai/openai-node/commit/d8a80a915dfe723a59f512e7128aecf857324388)) +* **tests:** add more API request tests ([04c1590](https://github.com/openai/openai-node/commit/04c1590a64127c43898c3c88bcbdd624d54008f6)) + +## 4.55.1 (2024-08-07) + +Full Changelog: [v4.55.0...v4.55.1](https://github.com/openai/openai-node/compare/v4.55.0...v4.55.1) + +### Bug Fixes + +* **helpers/zod:** correct schema generation for recursive schemas ([cb54d93](https://github.com/openai/openai-node/commit/cb54d93162c86ecfd476733805a431aab25d86d6)) + + +### Chores + +* **api:** remove old `AssistantResponseFormat` type ([#967](https://github.com/openai/openai-node/issues/967)) ([9fd94bf](https://github.com/openai/openai-node/commit/9fd94bfc35128d3bc45fbf0a65e6a8d2ea4562d5)) +* **internal:** update test snapshots ([bceea60](https://github.com/openai/openai-node/commit/bceea60e461c40a9e59d52772122dd612a2ff1c4)) +* **vendor/zodJsonSchema:** add option to duplicate top-level ref ([84b8a38](https://github.com/openai/openai-node/commit/84b8a3820b0ce1c78bfd3db468d8d2962875b4ab)) + + +### Documentation + +* **examples:** add UI generation example script ([c75c017](https://github.com/openai/openai-node/commit/c75c017c16cbfe3fc60ea4ee5779782005e64463)) + +## 4.55.0 (2024-08-06) + +Full Changelog: [v4.54.0...v4.55.0](https://github.com/openai/openai-node/compare/v4.54.0...v4.55.0) + +### Features + +* **api:** add structured outputs support ([573787c](https://github.com/openai/openai-node/commit/573787cf3ea8eea593eeeb5e24a9256951e2cc35)) + +## 4.54.0 (2024-08-02) + +Full Changelog: [v4.53.2...v4.54.0](https://github.com/openai/openai-node/compare/v4.53.2...v4.54.0) + +### Features + +* extract out `ImageModel`, `AudioModel`, `SpeechModel` ([#964](https://github.com/openai/openai-node/issues/964)) ([1edf957](https://github.com/openai/openai-node/commit/1edf957e1cb86c2a7b2d29e28f2b8f428ea0cd7d)) +* make enums not nominal ([#965](https://github.com/openai/openai-node/issues/965)) ([0dd0cd1](https://github.com/openai/openai-node/commit/0dd0cd158d6765c3a04ac983aad03c2ecad14502)) + + +### Chores + +* **ci:** correctly tag pre-release npm packages ([#963](https://github.com/openai/openai-node/issues/963)) ([f1a4a68](https://github.com/openai/openai-node/commit/f1a4a686bbf4a38919b8597f008d895d1b99d8df)) +* **internal:** add constant for default timeout ([#960](https://github.com/openai/openai-node/issues/960)) ([55c01f4](https://github.com/openai/openai-node/commit/55c01f4dc5d132c21713f9e8606b95abc76fcd44)) +* **internal:** cleanup event stream helpers ([#950](https://github.com/openai/openai-node/issues/950)) ([8f49956](https://github.com/openai/openai-node/commit/8f499566c47bd7d4799a8cbe0d980553348b8f48)) + + +### Documentation + +* **README:** link Lifecycle in Polling Helpers section ([#962](https://github.com/openai/openai-node/issues/962)) ([c610c81](https://github.com/openai/openai-node/commit/c610c813e8d7f96b5b8315ae194e0a9ff565f43d)) + +## 4.53.2 (2024-07-26) + +Full Changelog: [v4.53.1...v4.53.2](https://github.com/openai/openai-node/compare/v4.53.1...v4.53.2) + +### Chores + +* **docs:** fix incorrect client var names ([#955](https://github.com/openai/openai-node/issues/955)) ([cc91be8](https://github.com/openai/openai-node/commit/cc91be867bf7042abb2ee6c6d5ef69082ac64280)) + +## 4.53.1 (2024-07-25) + +Full Changelog: [v4.53.0...v4.53.1](https://github.com/openai/openai-node/compare/v4.53.0...v4.53.1) + +### Bug Fixes + +* **compat:** remove ReadableStream polyfill redundant since node v16 ([#954](https://github.com/openai/openai-node/issues/954)) ([78b2a83](https://github.com/openai/openai-node/commit/78b2a83f085bb7ddf6a5f429636de1e3eef20f9d)) + + +### Chores + +* **tests:** update prism version ([#948](https://github.com/openai/openai-node/issues/948)) ([9202c91](https://github.com/openai/openai-node/commit/9202c91d697a116eb1b834e01f4073d254438149)) + +## 4.53.0 (2024-07-22) + +Full Changelog: [v4.52.7...v4.53.0](https://github.com/openai/openai-node/compare/v4.52.7...v4.53.0) + +### Features + +* **api:** add new gpt-4o-mini models ([#942](https://github.com/openai/openai-node/issues/942)) ([7ac10dd](https://github.com/openai/openai-node/commit/7ac10ddbb87e9eb0e8e34d58a13a4775cbba1c24)) +* **api:** add uploads endpoints ([#946](https://github.com/openai/openai-node/issues/946)) ([8709ceb](https://github.com/openai/openai-node/commit/8709ceb0e01c5a1f96704c998f35ca1117ecadac)) + + +### Chores + +* **docs:** mention support of web browser runtimes ([#938](https://github.com/openai/openai-node/issues/938)) ([123d19d](https://github.com/openai/openai-node/commit/123d19d5a157110c8ada556c107caf0eb8b2ccc6)) +* **docs:** use client instead of package name in Node examples ([#941](https://github.com/openai/openai-node/issues/941)) ([8b5db1f](https://github.com/openai/openai-node/commit/8b5db1f53e66ce4b6e554f40a8dd2fd474085027)) + +## 4.52.7 (2024-07-11) + +Full Changelog: [v4.52.6...v4.52.7](https://github.com/openai/openai-node/compare/v4.52.6...v4.52.7) + +### Documentation + +* **examples:** update example values ([#933](https://github.com/openai/openai-node/issues/933)) ([92512ab](https://github.com/openai/openai-node/commit/92512abcd7ab5d7c452dfae007c3a25041062656)) + +## 4.52.6 (2024-07-11) + +Full Changelog: [v4.52.5...v4.52.6](https://github.com/openai/openai-node/compare/v4.52.5...v4.52.6) + +### Chores + +* **ci:** also run workflows for PRs targeting `next` ([#931](https://github.com/openai/openai-node/issues/931)) ([e3f979a](https://github.com/openai/openai-node/commit/e3f979ae94b2252b9552d1e03de5b92d398a3e28)) + +## 4.52.5 (2024-07-10) + +Full Changelog: [v4.52.4...v4.52.5](https://github.com/openai/openai-node/compare/v4.52.4...v4.52.5) + +### Bug Fixes + +* **vectorStores:** correctly handle missing `files` in `uploadAndPoll()` ([#926](https://github.com/openai/openai-node/issues/926)) ([945fca6](https://github.com/openai/openai-node/commit/945fca646b02b52bbc9163cb51f5d87e7db8afd6)) + +## 4.52.4 (2024-07-08) + +Full Changelog: [v4.52.3...v4.52.4](https://github.com/openai/openai-node/compare/v4.52.3...v4.52.4) + +### Refactors + +* **examples:** removedduplicated 'messageDelta' streaming event. ([#909](https://github.com/openai/openai-node/issues/909)) ([7b0b3d2](https://github.com/openai/openai-node/commit/7b0b3d2e228532fca19f49390a2831a1abac72a4)) + +## 4.52.3 (2024-07-02) + +Full Changelog: [v4.52.2...v4.52.3](https://github.com/openai/openai-node/compare/v4.52.2...v4.52.3) + +### Chores + +* minor change to tests ([#916](https://github.com/openai/openai-node/issues/916)) ([b8a33e3](https://github.com/openai/openai-node/commit/b8a33e31697b52d733f28d9380e0c02a2d179474)) + +## 4.52.2 (2024-06-28) + +Full Changelog: [v4.52.1...v4.52.2](https://github.com/openai/openai-node/compare/v4.52.1...v4.52.2) + +### Chores + +* gitignore test server logs ([#914](https://github.com/openai/openai-node/issues/914)) ([6316720](https://github.com/openai/openai-node/commit/6316720c3fdd0422965ae3890275062bc0fe3c2b)) + +## 4.52.1 (2024-06-25) + +Full Changelog: [v4.52.0...v4.52.1](https://github.com/openai/openai-node/compare/v4.52.0...v4.52.1) + +### Chores + +* **doc:** clarify service tier default value ([#908](https://github.com/openai/openai-node/issues/908)) ([e4c8100](https://github.com/openai/openai-node/commit/e4c8100c7732bdc336b52a48d09945782c0fa2a3)) +* **internal:** minor reformatting ([#911](https://github.com/openai/openai-node/issues/911)) ([78c9377](https://github.com/openai/openai-node/commit/78c9377fcd563645081629a89f3fda2c1ff4e175)) +* **internal:** re-order some imports ([#904](https://github.com/openai/openai-node/issues/904)) ([dbd5c40](https://github.com/openai/openai-node/commit/dbd5c4053ba2f255dfc56676ced5b30381843c75)) + +## 4.52.0 (2024-06-18) + +Full Changelog: [v4.51.0...v4.52.0](https://github.com/openai/openai-node/compare/v4.51.0...v4.52.0) + +### Features + +* **api:** add service tier argument for chat completions ([#900](https://github.com/openai/openai-node/issues/900)) ([91e6651](https://github.com/openai/openai-node/commit/91e66514037a8d6f9c39d3c96cd5769885925a4b)) + +## 4.51.0 (2024-06-12) + +Full Changelog: [v4.50.0...v4.51.0](https://github.com/openai/openai-node/compare/v4.50.0...v4.51.0) + +### Features + +* **api:** updates ([#894](https://github.com/openai/openai-node/issues/894)) ([b58f5a1](https://github.com/openai/openai-node/commit/b58f5a1344f631dac0fb8ecfa4fbae49af070189)) + +## 4.50.0 (2024-06-10) + +Full Changelog: [v4.49.1...v4.50.0](https://github.com/openai/openai-node/compare/v4.49.1...v4.50.0) + +### Features + +* support `application/octet-stream` request bodies ([#892](https://github.com/openai/openai-node/issues/892)) ([51661c8](https://github.com/openai/openai-node/commit/51661c8068d4990df6916becb6bb85353b54ef4d)) + +## 4.49.1 (2024-06-07) + +Full Changelog: [v4.49.0...v4.49.1](https://github.com/openai/openai-node/compare/v4.49.0...v4.49.1) + +### Bug Fixes + +* remove erroneous thread create argument ([#889](https://github.com/openai/openai-node/issues/889)) ([a9f898e](https://github.com/openai/openai-node/commit/a9f898ee109a0b35a672e41c6497f3a75eff7734)) + +## 4.49.0 (2024-06-06) + +Full Changelog: [v4.48.3...v4.49.0](https://github.com/openai/openai-node/compare/v4.48.3...v4.49.0) + +### Features + +* **api:** updates ([#887](https://github.com/openai/openai-node/issues/887)) ([359eeb3](https://github.com/openai/openai-node/commit/359eeb33b08b371451f216d1e21dd3334ec15f36)) + +## 4.48.3 (2024-06-06) + +Full Changelog: [v4.48.2...v4.48.3](https://github.com/openai/openai-node/compare/v4.48.2...v4.48.3) + +### Chores + +* **internal:** minor refactor of tests ([#884](https://github.com/openai/openai-node/issues/884)) ([0b71f2b](https://github.com/openai/openai-node/commit/0b71f2b2cb67e5714476b6f63b4ef93a0140bff2)) + +## 4.48.2 (2024-06-05) + +Full Changelog: [v4.48.1...v4.48.2](https://github.com/openai/openai-node/compare/v4.48.1...v4.48.2) + +### Chores + +* **internal:** minor change to tests ([#881](https://github.com/openai/openai-node/issues/881)) ([5e2d608](https://github.com/openai/openai-node/commit/5e2d608ca9a2bcb3f261ad13c848d327b60b6fb1)) + +## 4.48.1 (2024-06-04) + +Full Changelog: [v4.48.0...v4.48.1](https://github.com/openai/openai-node/compare/v4.48.0...v4.48.1) + +### Bug Fixes + +* resolve typescript issue ([1129707](https://github.com/openai/openai-node/commit/11297073b1a370fc9c8676446f939a48071999b2)) + +## 4.48.0 (2024-06-03) + +Full Changelog: [v4.47.3...v4.48.0](https://github.com/openai/openai-node/compare/v4.47.3...v4.48.0) + +### Features + +* **api:** updates ([#874](https://github.com/openai/openai-node/issues/874)) ([295c248](https://github.com/openai/openai-node/commit/295c2486005f6f1eb81cbbd6994b4382801d0707)) + +## 4.47.3 (2024-05-31) + +Full Changelog: [v4.47.2...v4.47.3](https://github.com/openai/openai-node/compare/v4.47.2...v4.47.3) + +### Bug Fixes + +* allow git imports for pnpm ([#873](https://github.com/openai/openai-node/issues/873)) ([9da9809](https://github.com/openai/openai-node/commit/9da98090e80cbe988a3d695e4c9b57439080ec3e)) + + +### Documentation + +* **azure:** update example and readme to use Entra ID ([#857](https://github.com/openai/openai-node/issues/857)) ([722eff1](https://github.com/openai/openai-node/commit/722eff1a7aeaa2ce3c40301709db61258c9afa16)) + +## 4.47.2 (2024-05-28) + +Full Changelog: [v4.47.1...v4.47.2](https://github.com/openai/openai-node/compare/v4.47.1...v4.47.2) + +### Documentation + +* **readme:** add bundle size badge ([#869](https://github.com/openai/openai-node/issues/869)) ([e252132](https://github.com/openai/openai-node/commit/e2521327b7b4f5abe97e4c58c417b37d00079ef8)) + +## 4.47.1 (2024-05-14) + +Full Changelog: [v4.47.0...v4.47.1](https://github.com/openai/openai-node/compare/v4.47.0...v4.47.1) + +### Chores + +* **internal:** add slightly better logging to scripts ([#848](https://github.com/openai/openai-node/issues/848)) ([139e690](https://github.com/openai/openai-node/commit/139e690546775b3568934dd990dd329fce2fbc2f)) + +## 4.47.0 (2024-05-14) + +Full Changelog: [v4.46.1...v4.47.0](https://github.com/openai/openai-node/compare/v4.46.1...v4.47.0) + +### Features + +* **api:** add incomplete state ([#846](https://github.com/openai/openai-node/issues/846)) ([5f663a1](https://github.com/openai/openai-node/commit/5f663a167361b905c6d0c1242e8a78037a7e4a57)) + +## 4.46.1 (2024-05-13) + +Full Changelog: [v4.46.0...v4.46.1](https://github.com/openai/openai-node/compare/v4.46.0...v4.46.1) + +### Refactors + +* change import paths to be relative ([#843](https://github.com/openai/openai-node/issues/843)) ([7913574](https://github.com/openai/openai-node/commit/7913574bdb6fcbcf68e56e8def351add6c43310a)) + +## 4.46.0 (2024-05-13) + +Full Changelog: [v4.45.0...v4.46.0](https://github.com/openai/openai-node/compare/v4.45.0...v4.46.0) + +### Features + +* **api:** add gpt-4o model ([#841](https://github.com/openai/openai-node/issues/841)) ([c818ed1](https://github.com/openai/openai-node/commit/c818ed139bfba81af6ca3c4eda08d52366758529)) + +## 4.45.0 (2024-05-11) + +Full Changelog: [v4.44.0...v4.45.0](https://github.com/openai/openai-node/compare/v4.44.0...v4.45.0) + +### Features + +* **azure:** batch api ([#839](https://github.com/openai/openai-node/issues/839)) ([e279f8c](https://github.com/openai/openai-node/commit/e279f8c51aa80cb913ccb6df647407bea1f2f071)) + + +### Chores + +* **dependency:** bumped Next.js version ([#836](https://github.com/openai/openai-node/issues/836)) ([babb140](https://github.com/openai/openai-node/commit/babb1404751059bdd171b792d03fd21272dd8f8b)) +* **docs:** add SECURITY.md ([#838](https://github.com/openai/openai-node/issues/838)) ([6e556d9](https://github.com/openai/openai-node/commit/6e556d9e12341155cc13fe226ab110d63858370e)) + +## 4.44.0 (2024-05-09) + +Full Changelog: [v4.43.0...v4.44.0](https://github.com/openai/openai-node/compare/v4.43.0...v4.44.0) + +### Features + +* **api:** add message image content ([#834](https://github.com/openai/openai-node/issues/834)) ([7757b3e](https://github.com/openai/openai-node/commit/7757b3ea54a2c5cc251f55af0b676952ba12e8a6)) + +## 4.43.0 (2024-05-08) + +Full Changelog: [v4.42.0...v4.43.0](https://github.com/openai/openai-node/compare/v4.42.0...v4.43.0) + +### Features + +* **api:** adding file purposes ([#831](https://github.com/openai/openai-node/issues/831)) ([a62b877](https://github.com/openai/openai-node/commit/a62b8779ff7261cdd6aa7bf72fb6407cc7e3fd21)) + +## 4.42.0 (2024-05-06) + +Full Changelog: [v4.41.1...v4.42.0](https://github.com/openai/openai-node/compare/v4.41.1...v4.42.0) + +### Features + +* **api:** add usage metadata when streaming ([#829](https://github.com/openai/openai-node/issues/829)) ([6707f11](https://github.com/openai/openai-node/commit/6707f119a191ad98d634ad208be852f9f39c6c0e)) + + +### Bug Fixes + +* **example:** fix fine tuning example ([#827](https://github.com/openai/openai-node/issues/827)) ([6480a50](https://github.com/openai/openai-node/commit/6480a506c096a2664bd2ad296481e51017ff4185)) + +## 4.41.1 (2024-05-06) + +Full Changelog: [v4.41.0...v4.41.1](https://github.com/openai/openai-node/compare/v4.41.0...v4.41.1) + +### Bug Fixes + +* **azure:** update build script ([#825](https://github.com/openai/openai-node/issues/825)) ([8afc6e7](https://github.com/openai/openai-node/commit/8afc6e7b49507b3be0228e93913d51b4c3211add)) + +## 4.41.0 (2024-05-05) + +Full Changelog: [v4.40.2...v4.41.0](https://github.com/openai/openai-node/compare/v4.40.2...v4.41.0) + +### Features + +* **client:** add Azure client ([#822](https://github.com/openai/openai-node/issues/822)) ([92f9049](https://github.com/openai/openai-node/commit/92f90499f0bbee79ba9c8342c8d58dbcaf88bdd1)) + +## 4.40.2 (2024-05-03) + +Full Changelog: [v4.40.1...v4.40.2](https://github.com/openai/openai-node/compare/v4.40.1...v4.40.2) + +### Bug Fixes + +* **package:** revert recent client file change ([#819](https://github.com/openai/openai-node/issues/819)) ([fa722c9](https://github.com/openai/openai-node/commit/fa722c97859e55a0e766332c3a2f0cb3673128a2)) +* **vectorStores:** correct uploadAndPoll method ([#817](https://github.com/openai/openai-node/issues/817)) ([d63f22c](https://github.com/openai/openai-node/commit/d63f22c303761710e6eac7ef883c45e34d223df1)) + +## 4.40.1 (2024-05-02) + +Full Changelog: [v4.40.0...v4.40.1](https://github.com/openai/openai-node/compare/v4.40.0...v4.40.1) + +### Chores + +* **internal:** bump prism version ([#813](https://github.com/openai/openai-node/issues/813)) ([81a6c28](https://github.com/openai/openai-node/commit/81a6c28c4773a0245ce9c505fc5b98d43df21beb)) +* **internal:** move client class to separate file ([#815](https://github.com/openai/openai-node/issues/815)) ([d0b915a](https://github.com/openai/openai-node/commit/d0b915a7514eda5b23d7d1e4420d1d1485ed8d0f)) + +## 4.40.0 (2024-05-01) + +Full Changelog: [v4.39.1...v4.40.0](https://github.com/openai/openai-node/compare/v4.39.1...v4.40.0) + +### Features + +* **api:** delete messages ([#811](https://github.com/openai/openai-node/issues/811)) ([9e37dbd](https://github.com/openai/openai-node/commit/9e37dbd554e4ca48fda1577b1aad612e9d30534d)) + +## 4.39.1 (2024-04-30) + +Full Changelog: [v4.39.0...v4.39.1](https://github.com/openai/openai-node/compare/v4.39.0...v4.39.1) + +### Chores + +* **internal:** add link to openapi spec ([#810](https://github.com/openai/openai-node/issues/810)) ([61b5b83](https://github.com/openai/openai-node/commit/61b5b83e82dd723e9584232f3b805ed13e58e13d)) +* **internal:** fix release please for deno ([#808](https://github.com/openai/openai-node/issues/808)) ([ecc2eae](https://github.com/openai/openai-node/commit/ecc2eaec602eb9fe518f011920d8500e01fde01b)) +* **internal:** refactor scripts ([#806](https://github.com/openai/openai-node/issues/806)) ([9283519](https://github.com/openai/openai-node/commit/928351928054feb56f8797587c70f74d06c2737c)) + +## 4.39.0 (2024-04-29) + +Full Changelog: [v4.38.5...v4.39.0](https://github.com/openai/openai-node/compare/v4.38.5...v4.39.0) + +### Features + +* **api:** add required tool_choice ([#803](https://github.com/openai/openai-node/issues/803)) ([99693e6](https://github.com/openai/openai-node/commit/99693e61debc67327a45dffb2c10c113341bffd6)) + + +### Chores + +* **internal:** add scripts/test and scripts/mock ([#801](https://github.com/openai/openai-node/issues/801)) ([6656105](https://github.com/openai/openai-node/commit/6656105fa1346a91d17e2b7a5e075f3091310c2f)) + +## 4.38.5 (2024-04-24) + +Full Changelog: [v4.38.4...v4.38.5](https://github.com/openai/openai-node/compare/v4.38.4...v4.38.5) + +### Chores + +* **internal:** use actions/checkout@v4 for codeflow ([#799](https://github.com/openai/openai-node/issues/799)) ([5ab7780](https://github.com/openai/openai-node/commit/5ab7780ea8889818f403a9a89ab19585a7e8972e)) + +## 4.38.4 (2024-04-24) + +Full Changelog: [v4.38.3...v4.38.4](https://github.com/openai/openai-node/compare/v4.38.3...v4.38.4) + +### Bug Fixes + +* **api:** change timestamps to unix integers ([#798](https://github.com/openai/openai-node/issues/798)) ([7271a6c](https://github.com/openai/openai-node/commit/7271a6cdc7d37151d2cae18fdd20b87d97624a84)) +* **docs:** doc improvements ([#796](https://github.com/openai/openai-node/issues/796)) ([49fcc86](https://github.com/openai/openai-node/commit/49fcc86b44958795a6f5e0901f369653dfbcc637)) + +## 4.38.3 (2024-04-22) + +Full Changelog: [v4.38.2...v4.38.3](https://github.com/openai/openai-node/compare/v4.38.2...v4.38.3) + +### Chores + +* **internal:** use @swc/jest for running tests ([#793](https://github.com/openai/openai-node/issues/793)) ([8947f19](https://github.com/openai/openai-node/commit/8947f195b2dfab7ceebe1e0bb5c886e229cd541f)) + +## 4.38.2 (2024-04-19) + +Full Changelog: [v4.38.1...v4.38.2](https://github.com/openai/openai-node/compare/v4.38.1...v4.38.2) + +### Bug Fixes + +* **api:** correct types for message attachment tools ([#787](https://github.com/openai/openai-node/issues/787)) ([8626884](https://github.com/openai/openai-node/commit/8626884abd2494aa081db9e50a2f268b6cebc5df)) + +## 4.38.1 (2024-04-18) + +Full Changelog: [v4.38.0...v4.38.1](https://github.com/openai/openai-node/compare/v4.38.0...v4.38.1) + +### Bug Fixes + +* **api:** correct types for attachments ([#783](https://github.com/openai/openai-node/issues/783)) ([6893631](https://github.com/openai/openai-node/commit/6893631334f75e232ba130f5dd67f1230b1e5fa0)) + +## 4.38.0 (2024-04-18) + +Full Changelog: [v4.37.1...v4.38.0](https://github.com/openai/openai-node/compare/v4.37.1...v4.38.0) + +### Features + +* **api:** batch list endpoint ([#781](https://github.com/openai/openai-node/issues/781)) ([d226759](https://github.com/openai/openai-node/commit/d226759164fbed33198d8bdc315c98e1052dade8)) + +## 4.37.1 (2024-04-17) + +Full Changelog: [v4.37.0...v4.37.1](https://github.com/openai/openai-node/compare/v4.37.0...v4.37.1) + +### Chores + +* **api:** docs and response_format response property ([#778](https://github.com/openai/openai-node/issues/778)) ([78f5c35](https://github.com/openai/openai-node/commit/78f5c3568d95d8e854c04049dc7d5643aa49e93f)) + +## 4.37.0 (2024-04-17) + +Full Changelog: [v4.36.0...v4.37.0](https://github.com/openai/openai-node/compare/v4.36.0...v4.37.0) + +### Features + +* **api:** add vector stores ([#776](https://github.com/openai/openai-node/issues/776)) ([8bb929b](https://github.com/openai/openai-node/commit/8bb929b2ee91c1bec0a00347bf4f7628652d1be3)) + +## 4.36.0 (2024-04-16) + +Full Changelog: [v4.35.0...v4.36.0](https://github.com/openai/openai-node/compare/v4.35.0...v4.36.0) + +### Features + +* **client:** add header OpenAI-Project ([#772](https://github.com/openai/openai-node/issues/772)) ([bb4df37](https://github.com/openai/openai-node/commit/bb4df3722082fb44b7d4feb7a47df796149150a2)) +* extract chat models to a named enum ([#775](https://github.com/openai/openai-node/issues/775)) ([141d2ed](https://github.com/openai/openai-node/commit/141d2ed308141dc751869353208e4d0632d3650c)) + + +### Build System + +* configure UTF-8 locale in devcontainer ([#774](https://github.com/openai/openai-node/issues/774)) ([bebf4f0](https://github.com/openai/openai-node/commit/bebf4f0ca1f884f8747caff0f0e065aafffde096)) + +## 4.35.0 (2024-04-15) + +Full Changelog: [v4.34.0...v4.35.0](https://github.com/openai/openai-node/compare/v4.34.0...v4.35.0) + +### Features + +* **errors:** add request_id property ([#769](https://github.com/openai/openai-node/issues/769)) ([43aa6a1](https://github.com/openai/openai-node/commit/43aa6a19cfb1448903dfaddc4da3def2eda9cbab)) + +## 4.34.0 (2024-04-15) + +Full Changelog: [v4.33.1...v4.34.0](https://github.com/openai/openai-node/compare/v4.33.1...v4.34.0) + +### Features + +* **api:** add batch API ([#768](https://github.com/openai/openai-node/issues/768)) ([7fe34f2](https://github.com/openai/openai-node/commit/7fe34f2d0bda9c1cb116a593f02bd0cc15a52e12)) +* **api:** updates ([#766](https://github.com/openai/openai-node/issues/766)) ([52bcc47](https://github.com/openai/openai-node/commit/52bcc47043e4c3ffe15ae9e7ac0fa87e2493aad9)) + +## 4.33.1 (2024-04-12) + +Full Changelog: [v4.33.0...v4.33.1](https://github.com/openai/openai-node/compare/v4.33.0...v4.33.1) + +### Chores + +* **internal:** formatting ([#763](https://github.com/openai/openai-node/issues/763)) ([b6acf54](https://github.com/openai/openai-node/commit/b6acf54baab7e6cbf6ce3ad1d6c70197cc0181d0)) +* **internal:** improve ecosystem tests ([#761](https://github.com/openai/openai-node/issues/761)) ([fcf748d](https://github.com/openai/openai-node/commit/fcf748dbbd23f972ff9fd81a8b2a35232a2d6e5c)) + +## 4.33.0 (2024-04-05) + +Full Changelog: [v4.32.2...v4.33.0](https://github.com/openai/openai-node/compare/v4.32.2...v4.33.0) + +### Features + +* **api:** add additional messages when creating thread run ([#759](https://github.com/openai/openai-node/issues/759)) ([f1fdb41](https://github.com/openai/openai-node/commit/f1fdb410e087f9b94faeda0558de573ec1118601)) + +## 4.32.2 (2024-04-04) + +Full Changelog: [v4.32.1...v4.32.2](https://github.com/openai/openai-node/compare/v4.32.1...v4.32.2) + +### Bug Fixes + +* **streaming:** handle special line characters and fix multi-byte character decoding ([#757](https://github.com/openai/openai-node/issues/757)) ([8dcdda2](https://github.com/openai/openai-node/commit/8dcdda2b0d1d86486eea5fd47d24a8d26fde4c19)) +* **tests:** update wrangler to v3.19.0 (CVE-2023-7080) ([#755](https://github.com/openai/openai-node/issues/755)) ([47ca41d](https://github.com/openai/openai-node/commit/47ca41da9a739b2e04b721cb1fe843e5dd152465)) + + +### Chores + +* **tests:** bump ecosystem tests dependencies ([#753](https://github.com/openai/openai-node/issues/753)) ([3f86ea2](https://github.com/openai/openai-node/commit/3f86ea2205c90e05bcbe582491a4bed01075a5b1)) + +## 4.32.1 (2024-04-02) + +Full Changelog: [v4.32.0...v4.32.1](https://github.com/openai/openai-node/compare/v4.32.0...v4.32.1) + +### Chores + +* **deps:** bump yarn to v1.22.22 ([#751](https://github.com/openai/openai-node/issues/751)) ([5b41d10](https://github.com/openai/openai-node/commit/5b41d1077f219b8feb7557cfab98caf7b5de560d)) + +## 4.32.0 (2024-04-01) + +Full Changelog: [v4.31.0...v4.32.0](https://github.com/openai/openai-node/compare/v4.31.0...v4.32.0) + +### Features + +* **api:** add support for filtering messages by run_id ([#747](https://github.com/openai/openai-node/issues/747)) ([9a397ac](https://github.com/openai/openai-node/commit/9a397acffa9f10c3f48e86e3bdb3851770f87b42)) +* **api:** run polling helpers ([#749](https://github.com/openai/openai-node/issues/749)) ([02920ae](https://github.com/openai/openai-node/commit/02920ae082480fc7a7ffe9fa583d053a40dc7120)) + + +### Chores + +* **deps:** remove unused dependency digest-fetch ([#748](https://github.com/openai/openai-node/issues/748)) ([5376837](https://github.com/openai/openai-node/commit/537683734d39dd956a7dcef4339c1167ce6fe13c)) + + +### Documentation + +* **readme:** change undocumented params wording ([#744](https://github.com/openai/openai-node/issues/744)) ([8796691](https://github.com/openai/openai-node/commit/87966911045275db86844dfdcde59653edaef264)) + + +### Refactors + +* rename createAndStream to stream ([02920ae](https://github.com/openai/openai-node/commit/02920ae082480fc7a7ffe9fa583d053a40dc7120)) + +## 4.31.0 (2024-03-30) + +Full Changelog: [v4.30.0...v4.31.0](https://github.com/openai/openai-node/compare/v4.30.0...v4.31.0) + +### Features + +* **api:** adding temperature parameter ([#742](https://github.com/openai/openai-node/issues/742)) ([b173b05](https://github.com/openai/openai-node/commit/b173b05eb52266d8f2c835ec4ed71cba8cdc609b)) + + +### Bug Fixes + +* **streaming:** trigger all event handlers with fromReadableStream ([#741](https://github.com/openai/openai-node/issues/741)) ([7b1e593](https://github.com/openai/openai-node/commit/7b1e5937d97b309ed51928b4388dcde74abda8dc)) + +## 4.30.0 (2024-03-28) + +Full Changelog: [v4.29.2...v4.30.0](https://github.com/openai/openai-node/compare/v4.29.2...v4.30.0) + +### Features + +* assistant fromReadableStream ([#738](https://github.com/openai/openai-node/issues/738)) ([8f4ba18](https://github.com/openai/openai-node/commit/8f4ba18268797d6c54c393d701b13c7ff2aa71bc)) + + +### Bug Fixes + +* **client:** correctly send deno version header ([#736](https://github.com/openai/openai-node/issues/736)) ([b7ea175](https://github.com/openai/openai-node/commit/b7ea175b2854909de77b920dd25613f1d2daefd6)) +* **example:** correcting example ([#739](https://github.com/openai/openai-node/issues/739)) ([a819551](https://github.com/openai/openai-node/commit/a81955175da24e196490a38850bbf6f9b6779ea8)) +* handle process.env being undefined in debug func ([#733](https://github.com/openai/openai-node/issues/733)) ([2baa149](https://github.com/openai/openai-node/commit/2baa1491f7834f779ca49c3027d2344ead412dd2)) +* **internal:** make toFile use input file's options ([#727](https://github.com/openai/openai-node/issues/727)) ([15880d7](https://github.com/openai/openai-node/commit/15880d77b6c1cf58a6b9cfdbf7ae4442cdbddbd6)) + + +### Chores + +* **internal:** add type ([#737](https://github.com/openai/openai-node/issues/737)) ([18c1989](https://github.com/openai/openai-node/commit/18c19891f783019517d7961fe03c4d98de0fcf93)) + + +### Documentation + +* **readme:** consistent use of sentence case in headings ([#729](https://github.com/openai/openai-node/issues/729)) ([7e515fd](https://github.com/openai/openai-node/commit/7e515fde433ebfb7871d75d53915eef05a08a916)) +* **readme:** document how to make undocumented requests ([#730](https://github.com/openai/openai-node/issues/730)) ([a06d861](https://github.com/openai/openai-node/commit/a06d861a015eeee411fa2c6ed9bf3000313cfc03)) + +## 4.29.2 (2024-03-19) + +Full Changelog: [v4.29.1...v4.29.2](https://github.com/openai/openai-node/compare/v4.29.1...v4.29.2) + +### Chores + +* **internal:** update generated pragma comment ([#724](https://github.com/openai/openai-node/issues/724)) ([139e205](https://github.com/openai/openai-node/commit/139e205ed1ed30cb1df982d852a093dcea945aba)) + + +### Documentation + +* assistant improvements ([#725](https://github.com/openai/openai-node/issues/725)) ([6a2c41b](https://github.com/openai/openai-node/commit/6a2c41b0ce833eba0cdea6a7d221697f3be26abb)) +* fix typo in CONTRIBUTING.md ([#722](https://github.com/openai/openai-node/issues/722)) ([05ff8f7](https://github.com/openai/openai-node/commit/05ff8f7671fe6ce5d9517034f76a166a0bd27803)) + +## 4.29.1 (2024-03-15) + +Full Changelog: [v4.29.0...v4.29.1](https://github.com/openai/openai-node/compare/v4.29.0...v4.29.1) + +### Documentation + +* **readme:** assistant streaming ([#719](https://github.com/openai/openai-node/issues/719)) ([bc9a1ca](https://github.com/openai/openai-node/commit/bc9a1ca308020a88c29d409edc06cdfca8cbf8f5)) + +## 4.29.0 (2024-03-13) + +Full Changelog: [v4.28.5...v4.29.0](https://github.com/openai/openai-node/compare/v4.28.5...v4.29.0) + +### Features + +* **assistants:** add support for streaming ([#714](https://github.com/openai/openai-node/issues/714)) ([7d27d28](https://github.com/openai/openai-node/commit/7d27d286876d0a575d91a4752f401126fe93d2a3)) + +## 4.28.5 (2024-03-13) + +Full Changelog: [v4.28.4...v4.28.5](https://github.com/openai/openai-node/compare/v4.28.4...v4.28.5) + +### Bug Fixes + +* **ChatCompletionStream:** abort on async iterator break and handle errors ([#699](https://github.com/openai/openai-node/issues/699)) ([ac417a2](https://github.com/openai/openai-node/commit/ac417a2db31919d2b52f2eb2e38f9c67a8f73254)) +* **streaming:** correctly handle trailing new lines in byte chunks ([#708](https://github.com/openai/openai-node/issues/708)) ([4753be2](https://github.com/openai/openai-node/commit/4753be272b1d1dade7a769cf350b829fc639f36e)) + + +### Chores + +* **api:** update docs ([#703](https://github.com/openai/openai-node/issues/703)) ([e1db98b](https://github.com/openai/openai-node/commit/e1db98bef29d200e2e401e3f5d7b2db6839c7836)) +* **docs:** mention install from git repo ([#700](https://github.com/openai/openai-node/issues/700)) ([c081bdb](https://github.com/openai/openai-node/commit/c081bdbb55585e63370496d324dc6f94d86424d1)) +* fix error handler in readme ([#704](https://github.com/openai/openai-node/issues/704)) ([4ff790a](https://github.com/openai/openai-node/commit/4ff790a67cf876191e04ad0e369e447e080b78a7)) +* **internal:** add explicit type annotation to decoder ([#712](https://github.com/openai/openai-node/issues/712)) ([d728e99](https://github.com/openai/openai-node/commit/d728e9923554e4c72c9efa3bd528561400d50ad8)) +* **types:** fix accidental exposure of Buffer type to cloudflare ([#709](https://github.com/openai/openai-node/issues/709)) ([0323ecb](https://github.com/openai/openai-node/commit/0323ecb98ddbd8910fc5719c8bab5175b945d2ab)) + + +### Documentation + +* **contributing:** improve wording ([#696](https://github.com/openai/openai-node/issues/696)) ([940d569](https://github.com/openai/openai-node/commit/940d5695f4cacddbb58e3bfc50fec28c468c7e63)) +* **readme:** fix https proxy example ([#705](https://github.com/openai/openai-node/issues/705)) ([d144789](https://github.com/openai/openai-node/commit/d1447890a556d37928b628f6449bb80de224d207)) +* **readme:** fix typo in custom fetch implementation ([#698](https://github.com/openai/openai-node/issues/698)) ([64041fd](https://github.com/openai/openai-node/commit/64041fd33da569eccae64afe4e50ee803017b20b)) +* remove extraneous --save and yarn install instructions ([#710](https://github.com/openai/openai-node/issues/710)) ([8ec216d](https://github.com/openai/openai-node/commit/8ec216d6b72ee4d67e26786f06c93af18d042117)) +* use [@deprecated](https://github.com/deprecated) decorator for deprecated params ([#711](https://github.com/openai/openai-node/issues/711)) ([4688ef4](https://github.com/openai/openai-node/commit/4688ef4b36e9f383a3abf6cdb31d498163a7bb9e)) + +## 4.28.4 (2024-02-28) + +Full Changelog: [v4.28.3...v4.28.4](https://github.com/openai/openai-node/compare/v4.28.3...v4.28.4) + +### Features + +* **api:** add wav and pcm to response_format ([#691](https://github.com/openai/openai-node/issues/691)) ([b1c6171](https://github.com/openai/openai-node/commit/b1c61711961a62a4d7b47909a68ecd65231a66af)) + + +### Chores + +* **ci:** update actions/setup-node action to v4 ([#685](https://github.com/openai/openai-node/issues/685)) ([f2704d5](https://github.com/openai/openai-node/commit/f2704d5f1580c0f1d31584ef88702cde8f6804d4)) +* **internal:** fix ecosystem tests ([#693](https://github.com/openai/openai-node/issues/693)) ([616624d](https://github.com/openai/openai-node/commit/616624d3d9fd10ce254ce0d435b2b73ed11679f2)) +* **types:** extract run status to a named type ([#686](https://github.com/openai/openai-node/issues/686)) ([b3b3b8e](https://github.com/openai/openai-node/commit/b3b3b8ea20e0f311d3bd53dfd22ccc04f5dce5f7)) +* update @types/react to 18.2.58, @types/react-dom to 18.2.19 ([#688](https://github.com/openai/openai-node/issues/688)) ([2a0d0b1](https://github.com/openai/openai-node/commit/2a0d0b1cb197eef25e42bbba88ee90c37d623f24)) +* update dependency @types/node to v20.11.20 ([#690](https://github.com/openai/openai-node/issues/690)) ([4ca005b](https://github.com/openai/openai-node/commit/4ca005be082d6c50fe95da6148896b62080bfe07)) +* update dependency @types/ws to v8.5.10 ([#683](https://github.com/openai/openai-node/issues/683)) ([a617268](https://github.com/openai/openai-node/commit/a6172683a3390422984ad282ac4940781493e772)) +* update dependency next to v13.5.6 ([#689](https://github.com/openai/openai-node/issues/689)) ([abb3b66](https://github.com/openai/openai-node/commit/abb3b6674b8f9f8ff9c2cc61629a31883ae4d8c8)) + +## 4.28.3 (2024-02-20) + +Full Changelog: [v4.28.2...v4.28.3](https://github.com/openai/openai-node/compare/v4.28.2...v4.28.3) + +### Bug Fixes + +* **ci:** revert "move github release logic to github app" ([#680](https://github.com/openai/openai-node/issues/680)) ([8b4009a](https://github.com/openai/openai-node/commit/8b4009af05a2e0824f99d3cf8cd9063f234ae470)) + +## 4.28.2 (2024-02-19) + +Full Changelog: [v4.28.1...v4.28.2](https://github.com/openai/openai-node/compare/v4.28.1...v4.28.2) + +### Bug Fixes + +* **api:** remove non-GA instance_id param ([#677](https://github.com/openai/openai-node/issues/677)) ([4d0d4da](https://github.com/openai/openai-node/commit/4d0d4daf3bfca0089c5258a136542513e6b372e6)) + +## 4.28.1 (2024-02-19) + +Full Changelog: [v4.28.0...v4.28.1](https://github.com/openai/openai-node/compare/v4.28.0...v4.28.1) + +### Chores + +* **ci:** move github release logic to github app ([#671](https://github.com/openai/openai-node/issues/671)) ([ecca6bc](https://github.com/openai/openai-node/commit/ecca6bc2eea391ee53f1a1d6cac9665199447ae0)) +* **internal:** refactor release environment script ([#674](https://github.com/openai/openai-node/issues/674)) ([27d3770](https://github.com/openai/openai-node/commit/27d37705d17e05c3761ccefcf09c4e2018eb5772)) + +## 4.28.0 (2024-02-13) + +Full Changelog: [v4.27.1...v4.28.0](https://github.com/openai/openai-node/compare/v4.27.1...v4.28.0) + +### Features + +* **api:** updates ([#669](https://github.com/openai/openai-node/issues/669)) ([e1900f9](https://github.com/openai/openai-node/commit/e1900f97ee3f4758d47a7eb4659e30abe3750c99)) + +## 4.27.1 (2024-02-12) + +Full Changelog: [v4.27.0...v4.27.1](https://github.com/openai/openai-node/compare/v4.27.0...v4.27.1) + +## 4.27.0 (2024-02-08) + +Full Changelog: [v4.26.1...v4.27.0](https://github.com/openai/openai-node/compare/v4.26.1...v4.27.0) + +### Features + +* **api:** add `timestamp_granularities`, add `gpt-3.5-turbo-0125` model ([#661](https://github.com/openai/openai-node/issues/661)) ([5016806](https://github.com/openai/openai-node/commit/50168066862f66b529bae29f4564741300303246)) + + +### Chores + +* **internal:** fix retry mechanism for ecosystem-test ([#663](https://github.com/openai/openai-node/issues/663)) ([0eb7ed5](https://github.com/openai/openai-node/commit/0eb7ed5ca3f7c7b29c316fc7d725d834cee73989)) +* respect `application/vnd.api+json` content-type header ([#664](https://github.com/openai/openai-node/issues/664)) ([f4fad54](https://github.com/openai/openai-node/commit/f4fad549c5c366d8dd8b936b7699639b895e82a1)) + +## 4.26.1 (2024-02-05) + +Full Changelog: [v4.26.0...v4.26.1](https://github.com/openai/openai-node/compare/v4.26.0...v4.26.1) + +### Chores + +* **internal:** enable building when git installed ([#657](https://github.com/openai/openai-node/issues/657)) ([8c80a7d](https://github.com/openai/openai-node/commit/8c80a7d6d36155901a19d1f9cd1fec17b89e261e)) +* **internal:** re-order pagination import ([#656](https://github.com/openai/openai-node/issues/656)) ([21ae54e](https://github.com/openai/openai-node/commit/21ae54ea2cc2779e440909782a6ac8b70f88ec1f)) +* **internal:** support pre-release versioning ([#653](https://github.com/openai/openai-node/issues/653)) ([0c3859f](https://github.com/openai/openai-node/commit/0c3859f88164ae3eb6ec8c29e8889a50861cb35b)) +* **test:** add delay between ecosystem tests retry ([#651](https://github.com/openai/openai-node/issues/651)) ([6a4cc5c](https://github.com/openai/openai-node/commit/6a4cc5cea36ae408c8c1eb2ea0ea02f96ffb77b7)) + + +### Documentation + +* add a CONTRIBUTING.md ([#659](https://github.com/openai/openai-node/issues/659)) ([8ea58b0](https://github.com/openai/openai-node/commit/8ea58b0b9e7382a3b3af852a9a3a288a485ad33a)) + +## 4.26.0 (2024-01-25) + +Full Changelog: [v4.25.0...v4.26.0](https://github.com/openai/openai-node/compare/v4.25.0...v4.26.0) + +### Features + +* **api:** add text embeddings dimensions param ([#650](https://github.com/openai/openai-node/issues/650)) ([1b5a977](https://github.com/openai/openai-node/commit/1b5a977d0eef7f5cf97daf27333cbbeb6bb479f3)) + + +### Chores + +* **internal:** add internal helpers & improve build scripts ([#643](https://github.com/openai/openai-node/issues/643)) ([9392f50](https://github.com/openai/openai-node/commit/9392f50e47f26b16632c9eb12187ea7f8a565e09)) +* **internal:** adjust ecosystem-tests logging in CI ([#646](https://github.com/openai/openai-node/issues/646)) ([156084b](https://github.com/openai/openai-node/commit/156084b8734194a5856612378115b948c82ec6e4)) +* **internal:** don't re-export streaming type ([#648](https://github.com/openai/openai-node/issues/648)) ([4c4be94](https://github.com/openai/openai-node/commit/4c4be945fa3f54036183e2d0877060db47ea564b)) +* **internal:** fix binary files ([#645](https://github.com/openai/openai-node/issues/645)) ([e1fbc39](https://github.com/openai/openai-node/commit/e1fbc396f4d1dd8ba980c25ba03b670dfed887a0)) +* **internal:** minor streaming updates ([#647](https://github.com/openai/openai-node/issues/647)) ([2f073e4](https://github.com/openai/openai-node/commit/2f073e4e6c9cd0ff3ad434907da710704765a005)) +* **internal:** pin deno version ([#649](https://github.com/openai/openai-node/issues/649)) ([7e4b903](https://github.com/openai/openai-node/commit/7e4b9039320e4ccbafb45f57dce273bedc9b7cb3)) + +## 4.25.0 (2024-01-21) + +Full Changelog: [v4.24.7...v4.25.0](https://github.com/openai/openai-node/compare/v4.24.7...v4.25.0) + +### Features + +* **api:** add usage to runs and run steps ([#640](https://github.com/openai/openai-node/issues/640)) ([3caa416](https://github.com/openai/openai-node/commit/3caa4166b8abb5bffb4c8be1495834b7f16af32d)) + + +### Bug Fixes + +* allow body type in RequestOptions to be null ([#637](https://github.com/openai/openai-node/issues/637)) ([c4f8a36](https://github.com/openai/openai-node/commit/c4f8a3698dc1d80439131c5097975d6a5db1b4e2)) +* handle system_fingerprint in streaming helpers ([#636](https://github.com/openai/openai-node/issues/636)) ([f273530](https://github.com/openai/openai-node/commit/f273530ac491300842aef463852821a1a27805fb)) +* **types:** accept undefined for optional client options ([#635](https://github.com/openai/openai-node/issues/635)) ([e48cd57](https://github.com/openai/openai-node/commit/e48cd57931cd0e81a77b55653cb1f663111dd733)) + + +### Chores + +* **internal:** debug logging for retries; speculative retry-after-ms support ([#633](https://github.com/openai/openai-node/issues/633)) ([fd64971](https://github.com/openai/openai-node/commit/fd64971612d1d7fcbd8a63885d333485bff68ab1)) +* **internal:** update comment ([#631](https://github.com/openai/openai-node/issues/631)) ([e109d40](https://github.com/openai/openai-node/commit/e109d40a5c02c5bf4586e54d92bf0e355d254c1b)) + +## 4.24.7 (2024-01-13) + +Full Changelog: [v4.24.6...v4.24.7](https://github.com/openai/openai-node/compare/v4.24.6...v4.24.7) + +### Chores + +* **ecosystem-tests:** fix flaky vercel-edge, cloudflare-worker, and deno tests ([#626](https://github.com/openai/openai-node/issues/626)) ([ae412a5](https://github.com/openai/openai-node/commit/ae412a5f12e701e07e71bd9791c55a56858e8383)) +* **ecosystem-tests:** fix typo in deno test ([#628](https://github.com/openai/openai-node/issues/628)) ([048ec94](https://github.com/openai/openai-node/commit/048ec943f8d12acba9829c35ebf0b2d3f24930c8)) + +## 4.24.6 (2024-01-12) + +Full Changelog: [v4.24.5...v4.24.6](https://github.com/openai/openai-node/compare/v4.24.5...v4.24.6) + +### Chores + +* **ecosystem-tests:** fix flaky tests and remove fine tuning calls ([#623](https://github.com/openai/openai-node/issues/623)) ([258d79f](https://github.com/openai/openai-node/commit/258d79f52bb31f4f3723f6f4b97ebe8f3fa187bd)) +* **ecosystem-tests:** fix flaky tests and remove fine tuning calls ([#625](https://github.com/openai/openai-node/issues/625)) ([58e5fd8](https://github.com/openai/openai-node/commit/58e5fd8f27052be6ac9587256b161f4bf3a3805f)) + +## 4.24.5 (2024-01-12) + +Full Changelog: [v4.24.4...v4.24.5](https://github.com/openai/openai-node/compare/v4.24.4...v4.24.5) + +### Refactors + +* **api:** remove deprecated endpoints ([#621](https://github.com/openai/openai-node/issues/621)) ([2054d71](https://github.com/openai/openai-node/commit/2054d71e6b0d407229a4c5aecd75e38c336c2c02)) + +## 4.24.4 (2024-01-11) + +Full Changelog: [v4.24.3...v4.24.4](https://github.com/openai/openai-node/compare/v4.24.3...v4.24.4) + +### Chores + +* **internal:** narrow type into stringifyQuery ([#619](https://github.com/openai/openai-node/issues/619)) ([88fb9cd](https://github.com/openai/openai-node/commit/88fb9cd1bb415850b0b4868944617282d0b92e2a)) + +## 4.24.3 (2024-01-10) + +Full Changelog: [v4.24.2...v4.24.3](https://github.com/openai/openai-node/compare/v4.24.2...v4.24.3) + +### Bug Fixes + +* use default base url if BASE_URL env var is blank ([#615](https://github.com/openai/openai-node/issues/615)) ([a27ad3d](https://github.com/openai/openai-node/commit/a27ad3d4e06f2202daa169668d0e7d89e87a38a7)) + +## 4.24.2 (2024-01-08) + +Full Changelog: [v4.24.1...v4.24.2](https://github.com/openai/openai-node/compare/v4.24.1...v4.24.2) + +### Bug Fixes + +* **headers:** always send lowercase headers and strip undefined (BREAKING in rare cases) ([#608](https://github.com/openai/openai-node/issues/608)) ([4ea159f](https://github.com/openai/openai-node/commit/4ea159f0aa9a1f4c365c74ee726714fe692ddf9f)) + + +### Chores + +* add .keep files for examples and custom code directories ([#612](https://github.com/openai/openai-node/issues/612)) ([5e0f733](https://github.com/openai/openai-node/commit/5e0f733d3cd3c8e6d41659141168cd0708e017a3)) +* **internal:** bump license ([#605](https://github.com/openai/openai-node/issues/605)) ([045ee74](https://github.com/openai/openai-node/commit/045ee74fd3ffba9e6d1301fe1ffd8bd3c63720a2)) +* **internal:** improve type signatures ([#609](https://github.com/openai/openai-node/issues/609)) ([e1ccc82](https://github.com/openai/openai-node/commit/e1ccc82e4991262a631dcffa4d09bdc553e50fbb)) + + +### Documentation + +* fix docstring typos ([#600](https://github.com/openai/openai-node/issues/600)) ([1934fa1](https://github.com/openai/openai-node/commit/1934fa15f654ea89e226457f76febe6015616f6c)) +* improve audio example to show how to stream to a file ([#598](https://github.com/openai/openai-node/issues/598)) ([e950ad9](https://github.com/openai/openai-node/commit/e950ad969e845d608ed71bd3e3095cd6c941d93d)) + +## 4.24.1 (2023-12-22) + +Full Changelog: [v4.24.0...v4.24.1](https://github.com/openai/openai-node/compare/v4.24.0...v4.24.1) + +### Bug Fixes + +* **pagination:** correct type annotation object field ([#590](https://github.com/openai/openai-node/issues/590)) ([4066eda](https://github.com/openai/openai-node/commit/4066edad4b5305e82e610f44f4720843f2b69d39)) + + +### Documentation + +* **messages:** improvements to helpers reference + typos ([#595](https://github.com/openai/openai-node/issues/595)) ([96a59b9](https://github.com/openai/openai-node/commit/96a59b91c424db67b8a5bdb7cab5da68c57282d4)) +* reformat README.md ([#592](https://github.com/openai/openai-node/issues/592)) ([8ffc7f8](https://github.com/openai/openai-node/commit/8ffc7f876cc8f4b7afaf68a37f94f826ef22a6b8)) + + +### Refactors + +* write jest config in typescript ([#588](https://github.com/openai/openai-node/issues/588)) ([eb6ceeb](https://github.com/openai/openai-node/commit/eb6ceebf90ba45ec5b803f32b9b080829f6a973a)) + +## 4.24.0 (2023-12-19) + +Full Changelog: [v4.23.0...v4.24.0](https://github.com/openai/openai-node/compare/v4.23.0...v4.24.0) + +### Features + +* **api:** add additional instructions for runs ([#586](https://github.com/openai/openai-node/issues/586)) ([401d93e](https://github.com/openai/openai-node/commit/401d93ea39fe0e90088799858299322035c0a7e8)) + + +### Chores + +* **deps:** update dependency start-server-and-test to v2.0.3 ([#580](https://github.com/openai/openai-node/issues/580)) ([8e1aca1](https://github.com/openai/openai-node/commit/8e1aca1f8be6e583483919ed9ef9b04fab076066)) +* **deps:** update dependency ts-jest to v29.1.1 ([#578](https://github.com/openai/openai-node/issues/578)) ([a6edb7b](https://github.com/openai/openai-node/commit/a6edb7bc3cfc447d0c55ae23cc1c2219105d3666)) +* **deps:** update jest ([#582](https://github.com/openai/openai-node/issues/582)) ([e49e471](https://github.com/openai/openai-node/commit/e49e471ec7a136f2cbaf82551ccaaea366c87a91)) +* **internal:** bump deps ([#583](https://github.com/openai/openai-node/issues/583)) ([2e07b4c](https://github.com/openai/openai-node/commit/2e07b4c66ab1fdbb353fdd00994e293f93e981db)) +* **internal:** update deps ([#581](https://github.com/openai/openai-node/issues/581)) ([7b690dc](https://github.com/openai/openai-node/commit/7b690dca67ee8c3b0a89caf7f786ede5dc612a76)) + + +### Documentation + +* upgrade models in examples to latest version ([#585](https://github.com/openai/openai-node/issues/585)) ([60101a4](https://github.com/openai/openai-node/commit/60101a4117b1a8223d09fb9fe21d89af32431939)) + +## 4.23.0 (2023-12-17) + +Full Changelog: [v4.22.1...v4.23.0](https://github.com/openai/openai-node/compare/v4.22.1...v4.23.0) + +### Features + +* **api:** add token logprobs to chat completions ([#576](https://github.com/openai/openai-node/issues/576)) ([8d4292e](https://github.com/openai/openai-node/commit/8d4292e6358920b2c9d8df49c6a154231c468512)) + + +### Chores + +* **ci:** run release workflow once per day ([#574](https://github.com/openai/openai-node/issues/574)) ([529f09f](https://github.com/openai/openai-node/commit/529f09f827a675d6e851590acff4e6f4f2af2d26)) + +## 4.22.1 (2023-12-15) + +Full Changelog: [v4.22.0...v4.22.1](https://github.com/openai/openai-node/compare/v4.22.0...v4.22.1) + +### Chores + +* update dependencies ([#572](https://github.com/openai/openai-node/issues/572)) ([a51e620](https://github.com/openai/openai-node/commit/a51e62065224a516b17dd850ae564f5436d8db52)) + + +### Documentation + +* replace runFunctions with runTools in readme ([#570](https://github.com/openai/openai-node/issues/570)) ([c3b9ad5](https://github.com/openai/openai-node/commit/c3b9ad58e5f74d3339889aeb1d758c8c18f54de7)) + +## 4.22.0 (2023-12-15) + +Full Changelog: [v4.21.0...v4.22.0](https://github.com/openai/openai-node/compare/v4.21.0...v4.22.0) + +### Features + +* **api:** add optional `name` argument + improve docs ([#569](https://github.com/openai/openai-node/issues/569)) ([3b68ace](https://github.com/openai/openai-node/commit/3b68ace533976aedbf642d9b018d0de8d9a8bb88)) + + +### Chores + +* update prettier ([#567](https://github.com/openai/openai-node/issues/567)) ([83dec2a](https://github.com/openai/openai-node/commit/83dec2af62c481d7de16d8a3644aa239ded9e30c)) + +## 4.21.0 (2023-12-11) + +Full Changelog: [v4.20.1...v4.21.0](https://github.com/openai/openai-node/compare/v4.20.1...v4.21.0) + +### Features + +* **client:** support reading the base url from an env variable ([#547](https://github.com/openai/openai-node/issues/547)) ([06fb68d](https://github.com/openai/openai-node/commit/06fb68de1ff80983e349b6715d1037e2072c8dd4)) + + +### Bug Fixes + +* correct some runTools behavior and deprecate runFunctions ([#562](https://github.com/openai/openai-node/issues/562)) ([f5cdd0f](https://github.com/openai/openai-node/commit/f5cdd0f704d3d075cdfc5bc2df1f7a8bae5cd9f1)) +* prevent 400 when using runTools/runFunctions with Azure OpenAI API ([#544](https://github.com/openai/openai-node/issues/544)) ([735d9b8](https://github.com/openai/openai-node/commit/735d9b86acdc067e1ee6ebe1ea50de2955431050)) + + +### Documentation + +* **readme:** update example snippets ([#546](https://github.com/openai/openai-node/issues/546)) ([566d290](https://github.com/openai/openai-node/commit/566d290006920f536788bb77f4d24a6906e2971f)) + + +### Build System + +* specify `packageManager: yarn` ([#561](https://github.com/openai/openai-node/issues/561)) ([935b898](https://github.com/openai/openai-node/commit/935b8983c74f7b03b67d22f4d194989838f963f3)) + +## 4.20.1 (2023-11-24) + +Full Changelog: [v4.20.0...v4.20.1](https://github.com/openai/openai-node/compare/v4.20.0...v4.20.1) + +### Chores + +* **internal:** remove file import and conditionally run prepare ([#533](https://github.com/openai/openai-node/issues/533)) ([48cb729](https://github.com/openai/openai-node/commit/48cb729bfc484ce3d04273be417b307a0d20644f)) + + +### Documentation + +* **readme:** fix typo and add examples link ([#529](https://github.com/openai/openai-node/issues/529)) ([cf959b1](https://github.com/openai/openai-node/commit/cf959b17db0a4f8dd7eb59add333c4a461b02459)) + +## 4.20.0 (2023-11-22) + +Full Changelog: [v4.19.1...v4.20.0](https://github.com/openai/openai-node/compare/v4.19.1...v4.20.0) + +### Features + +* allow installing package directly from github ([#522](https://github.com/openai/openai-node/issues/522)) ([51926d7](https://github.com/openai/openai-node/commit/51926d7a0092744e49de39f4988feddf313adafa)) + + +### Chores + +* **internal:** don't call prepare in dist ([#525](https://github.com/openai/openai-node/issues/525)) ([d09411e](https://github.com/openai/openai-node/commit/d09411ebaa28d6610e1b880d03339d520b4a1833)) + +## 4.19.1 (2023-11-20) + +Full Changelog: [v4.19.0...v4.19.1](https://github.com/openai/openai-node/compare/v4.19.0...v4.19.1) + +## 4.19.0 (2023-11-15) + +Full Changelog: [v4.18.0...v4.19.0](https://github.com/openai/openai-node/compare/v4.18.0...v4.19.0) + +### Features + +* **api:** updates ([#501](https://github.com/openai/openai-node/issues/501)) ([944d58e](https://github.com/openai/openai-node/commit/944d58e5fc46f1a0671aaa2b809d28e67edf6023)) + +## 4.18.0 (2023-11-14) + +Full Changelog: [v4.17.5...v4.18.0](https://github.com/openai/openai-node/compare/v4.17.5...v4.18.0) + +### Features + +* **api:** add gpt-3.5-turbo-1106 ([#496](https://github.com/openai/openai-node/issues/496)) ([45f7672](https://github.com/openai/openai-node/commit/45f7672ccf4856ac309b08c6c96f0e73ab48b525)) + +## 4.17.5 (2023-11-13) + +Full Changelog: [v4.17.4...v4.17.5](https://github.com/openai/openai-node/compare/v4.17.4...v4.17.5) + +### Chores + +* fix typo in docs and add request header for function calls ([#494](https://github.com/openai/openai-node/issues/494)) ([22ce244](https://github.com/openai/openai-node/commit/22ce2443a77f10988b3215bd81ba17d4eda4b10e)) + +## 4.17.4 (2023-11-10) + +Full Changelog: [v4.17.3...v4.17.4](https://github.com/openai/openai-node/compare/v4.17.3...v4.17.4) + +### Chores + +* **internal:** update jest config ([#482](https://github.com/openai/openai-node/issues/482)) ([3013e8c](https://github.com/openai/openai-node/commit/3013e8c73a61a397a418ca75b996f0a7dd03a744)) + +## 4.17.3 (2023-11-09) + +Full Changelog: [v4.17.2...v4.17.3](https://github.com/openai/openai-node/compare/v4.17.2...v4.17.3) + +## 4.17.2 (2023-11-09) + +Full Changelog: [v4.17.1...v4.17.2](https://github.com/openai/openai-node/compare/v4.17.1...v4.17.2) + +### Chores + +* **internal:** bump deno version number ([#478](https://github.com/openai/openai-node/issues/478)) ([69913f3](https://github.com/openai/openai-node/commit/69913f3a4b0123394029759375445dae7b4f15ab)) + +## 4.17.1 (2023-11-09) + +Full Changelog: [v4.17.0...v4.17.1](https://github.com/openai/openai-node/compare/v4.17.0...v4.17.1) + +### Refactors + +* **client:** deprecate files.retrieveContent in favour of files.content ([#474](https://github.com/openai/openai-node/issues/474)) ([7c7bfc2](https://github.com/openai/openai-node/commit/7c7bfc2fad5a786c9172110e90c9566a943e49f9)) + +## 4.17.0 (2023-11-08) + +Full Changelog: [v4.16.2...v4.17.0](https://github.com/openai/openai-node/compare/v4.16.2...v4.17.0) + +### Features + +* **api:** unify function types ([#467](https://github.com/openai/openai-node/issues/467)) ([d51cd94](https://github.com/openai/openai-node/commit/d51cd94b3103219789447e2e9afc4762ae672e5a)) + + +### Refactors + +* **api:** rename FunctionObject to FunctionDefinition ([#470](https://github.com/openai/openai-node/issues/470)) ([f3990c7](https://github.com/openai/openai-node/commit/f3990c779e596309b62f41d7a1253d8629aca3bf)) + +## 4.16.2 (2023-11-08) + +Full Changelog: [v4.16.1...v4.16.2](https://github.com/openai/openai-node/compare/v4.16.1...v4.16.2) + +### Bug Fixes + +* **api:** accidentally required params, add new models & other fixes ([#463](https://github.com/openai/openai-node/issues/463)) ([1cb403e](https://github.com/openai/openai-node/commit/1cb403e4ccde61bb1613d362f6bdbca8b1681e00)) +* **api:** update embedding response object type ([#466](https://github.com/openai/openai-node/issues/466)) ([53b7e25](https://github.com/openai/openai-node/commit/53b7e2539cca0b272be96136c123d2b33745e7f6)) +* asssitant_deleted -> assistant_deleted ([#452](https://github.com/openai/openai-node/issues/452)) ([ef89bd7](https://github.com/openai/openai-node/commit/ef89bd74d85c833bf7de500eecd1b092a0ad3f37)) +* **types:** ensure all code paths return a value ([#458](https://github.com/openai/openai-node/issues/458)) ([19402c3](https://github.com/openai/openai-node/commit/19402c365572a99cbee58bcd34a9942e741269bf)) + + +### Chores + +* **docs:** fix github links ([#457](https://github.com/openai/openai-node/issues/457)) ([6b9b94e](https://github.com/openai/openai-node/commit/6b9b94e4e123349a908b708cd574ff107f40a8e1)) +* **internal:** fix typo in comment ([#456](https://github.com/openai/openai-node/issues/456)) ([fe24342](https://github.com/openai/openai-node/commit/fe2434284a91d424510873a18079b8870469c672)) + + +### Documentation + +* update deno deploy link to include v ([#441](https://github.com/openai/openai-node/issues/441)) ([47b13aa](https://github.com/openai/openai-node/commit/47b13aaa6fac86fffabee1f752ee6d2efc3def9b)) + +## 4.16.1 (2023-11-06) + +Full Changelog: [v4.16.0...v4.16.1](https://github.com/openai/openai-node/compare/v4.16.0...v4.16.1) + +### Bug Fixes + +* **api:** retreival -> retrieval ([#437](https://github.com/openai/openai-node/issues/437)) ([b4bd3ee](https://github.com/openai/openai-node/commit/b4bd3eefdd3903abcc57c431382cc2124d39307b)) + + +### Documentation + +* **api:** improve docstrings ([#435](https://github.com/openai/openai-node/issues/435)) ([ee8b24c](https://github.com/openai/openai-node/commit/ee8b24c70a5ccb944e02ff2201668d6bc2b597b3)) + +## 4.16.0 (2023-11-06) + +Full Changelog: [v4.15.4...v4.16.0](https://github.com/openai/openai-node/compare/v4.15.4...v4.16.0) + +### Features + +* **api:** releases from DevDay; assistants, multimodality, tools, dall-e-3, tts, and more ([#433](https://github.com/openai/openai-node/issues/433)) ([fb92f5e](https://github.com/openai/openai-node/commit/fb92f5e6e3b6e7969b3d91f4ccdaef87e5fea0a4)) + + +### Bug Fixes + +* improve deno readme ([#429](https://github.com/openai/openai-node/issues/429)) ([871ceac](https://github.com/openai/openai-node/commit/871ceac2b37f53f7fc7c0163454115c709cd7ced)) + + +### Documentation + +* deno version ([#432](https://github.com/openai/openai-node/issues/432)) ([74bf336](https://github.com/openai/openai-node/commit/74bf3364379fd23252fde01401c44b2fa796cba4)) +* update deno link in more places ([#431](https://github.com/openai/openai-node/issues/431)) ([5da63d4](https://github.com/openai/openai-node/commit/5da63d4a9143c0ab493b742f7fde22b01a372844)) + +## 4.15.4 (2023-11-05) + +Full Changelog: [v4.15.3...v4.15.4](https://github.com/openai/openai-node/compare/v4.15.3...v4.15.4) + +### Documentation + +* **readme:** remove redundant whitespace ([#427](https://github.com/openai/openai-node/issues/427)) ([aa3a178](https://github.com/openai/openai-node/commit/aa3a1782914a4a285263e4d070bca73e72ed47ec)) + +## 4.15.3 (2023-11-04) + +Full Changelog: [v4.15.2...v4.15.3](https://github.com/openai/openai-node/compare/v4.15.2...v4.15.3) + +### Bug Fixes + +* improve deno releases ([#425](https://github.com/openai/openai-node/issues/425)) ([19469f2](https://github.com/openai/openai-node/commit/19469f266ff69a4e549402188d9f6ad87f5a7778)) + +## 4.15.2 (2023-11-04) + +Full Changelog: [v4.15.1...v4.15.2](https://github.com/openai/openai-node/compare/v4.15.1...v4.15.2) + +### Documentation + +* fix deno.land import ([#423](https://github.com/openai/openai-node/issues/423)) ([e5415a2](https://github.com/openai/openai-node/commit/e5415a29ab447ced8535fafda7928b0a6748c8d1)) + +## 4.15.1 (2023-11-04) + +Full Changelog: [v4.15.0...v4.15.1](https://github.com/openai/openai-node/compare/v4.15.0...v4.15.1) + +### Documentation + +* document customizing fetch ([#420](https://github.com/openai/openai-node/issues/420)) ([1ca982f](https://github.com/openai/openai-node/commit/1ca982f192daf49e33b7acb5505ed26c9d891255)) + +## 4.15.0 (2023-11-03) + +Full Changelog: [v4.14.2...v4.15.0](https://github.com/openai/openai-node/compare/v4.14.2...v4.15.0) + +### Features + +* **beta:** add streaming and function calling helpers ([#409](https://github.com/openai/openai-node/issues/409)) ([510c1f3](https://github.com/openai/openai-node/commit/510c1f325ee55197b4c2f434475128c265500746)) +* **client:** allow binary returns ([#416](https://github.com/openai/openai-node/issues/416)) ([02f7ad7](https://github.com/openai/openai-node/commit/02f7ad7f736751e0e7687e6744bae464d4e40b79)) +* **github:** include a devcontainer setup ([#413](https://github.com/openai/openai-node/issues/413)) ([fb2996f](https://github.com/openai/openai-node/commit/fb2996f0d291210878145aacf9b952f8133d9414)) +* streaming improvements ([#411](https://github.com/openai/openai-node/issues/411)) ([37b622c](https://github.com/openai/openai-node/commit/37b622c79ddbd6c286b730e740403c82b542e796)) + +## 4.14.2 (2023-10-30) + +Full Changelog: [v4.14.1...v4.14.2](https://github.com/openai/openai-node/compare/v4.14.1...v4.14.2) + +### Chores + +* **docs:** update deno link ([#407](https://github.com/openai/openai-node/issues/407)) ([0328882](https://github.com/openai/openai-node/commit/0328882cccb3e5386283ffa5eb9cd8ad9442f3a0)) + +## 4.14.1 (2023-10-27) + +Full Changelog: [v4.14.0...v4.14.1](https://github.com/openai/openai-node/compare/v4.14.0...v4.14.1) + +### Bug Fixes + +* deploy deno in a github workflow instead of postpublish step ([#405](https://github.com/openai/openai-node/issues/405)) ([3a6dba0](https://github.com/openai/openai-node/commit/3a6dba074258274bffcfe3a4260ca1b95bcd6bdc)) +* typo in build script ([#403](https://github.com/openai/openai-node/issues/403)) ([76c5c96](https://github.com/openai/openai-node/commit/76c5c96a359f750f58ea38b5d32365db7e34409a)) + + +### Chores + +* **internal:** update gitignore ([#406](https://github.com/openai/openai-node/issues/406)) ([986b0bb](https://github.com/openai/openai-node/commit/986b0bbac9f5ca43a0df6f29f2a468dd4223e053)) + +## 4.14.0 (2023-10-25) + +Full Changelog: [v4.13.0...v4.14.0](https://github.com/openai/openai-node/compare/v4.13.0...v4.14.0) + +### Features + +* **client:** adjust retry behavior to be exponential backoff ([#400](https://github.com/openai/openai-node/issues/400)) ([2bc14ce](https://github.com/openai/openai-node/commit/2bc14ce300ef020bc045199fe3d76dd352d78ef9)) + + +### Chores + +* **docs:** update deno version ([#399](https://github.com/openai/openai-node/issues/399)) ([cdee077](https://github.com/openai/openai-node/commit/cdee0770690d4b66b357d970827e9ba1597ffb89)) + +## 4.13.0 (2023-10-22) + +Full Changelog: [v4.12.4...v4.13.0](https://github.com/openai/openai-node/compare/v4.12.4...v4.13.0) + +### Features + +* **api:** add embeddings encoding_format ([#390](https://github.com/openai/openai-node/issues/390)) ([cf70dea](https://github.com/openai/openai-node/commit/cf70deaba1426786aba9b938d280c61aeb516e34)) +* handle 204 No Content gracefully ([#391](https://github.com/openai/openai-node/issues/391)) ([2dd005c](https://github.com/openai/openai-node/commit/2dd005c1c497605036d3524f19d130b3fc5f8d8b)) + +## 4.12.4 (2023-10-17) + +Full Changelog: [v4.12.3...v4.12.4](https://github.com/openai/openai-node/compare/v4.12.3...v4.12.4) + +### Bug Fixes + +* import web-streams-polyfill without overriding globals ([#385](https://github.com/openai/openai-node/issues/385)) ([be8e18b](https://github.com/openai/openai-node/commit/be8e18ba4c6a16e7b6413c77246f83230e0b8fc2)) + +## 4.12.3 (2023-10-16) + +Full Changelog: [v4.12.2...v4.12.3](https://github.com/openai/openai-node/compare/v4.12.2...v4.12.3) + +### Documentation + +* organisation -> organization (UK to US English) ([#382](https://github.com/openai/openai-node/issues/382)) ([516f0ad](https://github.com/openai/openai-node/commit/516f0ade1ec1fd8fc4c78999ee0f656cc2b5ae58)) + +## 4.12.2 (2023-10-16) + +Full Changelog: [v4.12.1...v4.12.2](https://github.com/openai/openai-node/compare/v4.12.1...v4.12.2) + +### Bug Fixes + +* **client:** correctly handle errors during streaming ([#377](https://github.com/openai/openai-node/issues/377)) ([09233b1](https://github.com/openai/openai-node/commit/09233b1ccc80ee900be19050f438cc8aa9dbb513)) +* **client:** correctly handle errors during streaming ([#379](https://github.com/openai/openai-node/issues/379)) ([9ced580](https://github.com/openai/openai-node/commit/9ced5804777a5857d6775a49ddf30ed9cc016fab)) +* improve status code in error messages ([#381](https://github.com/openai/openai-node/issues/381)) ([68dfb17](https://github.com/openai/openai-node/commit/68dfb17cce300ade8d29afc854d616833b3283ca)) + + +### Chores + +* add case insensitive get header function ([#373](https://github.com/openai/openai-node/issues/373)) ([b088998](https://github.com/openai/openai-node/commit/b088998ae610de54bb8700eefd6b664eb9a2fcc3)) +* **internal:** add debug logs for stream responses ([#380](https://github.com/openai/openai-node/issues/380)) ([689db0b](https://github.com/openai/openai-node/commit/689db0b8058527ae5c3af5e457c962d8a6635297)) +* show deprecation notice on re-export ([#368](https://github.com/openai/openai-node/issues/368)) ([b176703](https://github.com/openai/openai-node/commit/b176703102998f0e9d8ca2ed93ccd495fd10a6ee)) +* update comment ([#376](https://github.com/openai/openai-node/issues/376)) ([a06c685](https://github.com/openai/openai-node/commit/a06c6850bfdd756dc8f07dd1f70218be610faa30)) +* update comment ([#378](https://github.com/openai/openai-node/issues/378)) ([b04031d](https://github.com/openai/openai-node/commit/b04031d19210a66f82c7d233a50f7bc427a1bf92)) + + +### Refactors + +* **streaming:** change Stream constructor signature ([#370](https://github.com/openai/openai-node/issues/370)) ([71984ed](https://github.com/openai/openai-node/commit/71984edc3141ba99ffa1327bab6a182b4452209f)) +* **test:** refactor authentication tests ([#371](https://github.com/openai/openai-node/issues/371)) ([e0d459f](https://github.com/openai/openai-node/commit/e0d459f958451a99e15a11a0e5ea6471abbe1ac1)) + +## 4.12.1 (2023-10-11) + +Full Changelog: [v4.12.0...v4.12.1](https://github.com/openai/openai-node/compare/v4.12.0...v4.12.1) + +### Bug Fixes + +* fix namespace exports regression ([#366](https://github.com/openai/openai-node/issues/366)) ([b2b1d85](https://github.com/openai/openai-node/commit/b2b1d85d90eef51e689ca75c0ca2f35bb63cccc0)) + +## 4.12.0 (2023-10-11) + +Full Changelog: [v4.11.1...v4.12.0](https://github.com/openai/openai-node/compare/v4.11.1...v4.12.0) + +### Features + +* **api:** remove `content_filter` stop_reason and update documentation ([#352](https://github.com/openai/openai-node/issues/352)) ([a4b401e](https://github.com/openai/openai-node/commit/a4b401e91a0b3fbf55aedfb6ed6d93396377bf27)) +* re-export chat completion types at the top level, and work around webpack limitations ([#365](https://github.com/openai/openai-node/issues/365)) ([bb815d0](https://github.com/openai/openai-node/commit/bb815d0373ae33f58329e34e8983f5b3881db22d)) + + +### Bug Fixes + +* prevent ReferenceError, update compatibility to ES2020 and Node 18+ ([#356](https://github.com/openai/openai-node/issues/356)) ([fc71a4b](https://github.com/openai/openai-node/commit/fc71a4b6b73208ff3e8f0c8792a9a03e3790d26b)) + + +### Chores + +* **internal:** minor formatting improvement ([#354](https://github.com/openai/openai-node/issues/354)) ([3799863](https://github.com/openai/openai-node/commit/3799863da4ff2a27940ef0b7e57360c72e44d986)) + +## 4.11.1 (2023-10-03) + +Full Changelog: [v4.11.0...v4.11.1](https://github.com/openai/openai-node/compare/v4.11.0...v4.11.1) + +## 4.11.0 (2023-09-29) + +Full Changelog: [v4.10.0...v4.11.0](https://github.com/openai/openai-node/compare/v4.10.0...v4.11.0) + +### Features + +* **client:** handle retry-after with a date ([#340](https://github.com/openai/openai-node/issues/340)) ([b6dd384](https://github.com/openai/openai-node/commit/b6dd38488ea7cc4c22495f16d027b7ffdb87da53)) +* **package:** export a root error type ([#338](https://github.com/openai/openai-node/issues/338)) ([462bcda](https://github.com/openai/openai-node/commit/462bcda7140611afa20bc25de4aec6d4b205b37d)) + + +### Bug Fixes + +* **api:** add content_filter to chat completion finish reason ([#344](https://github.com/openai/openai-node/issues/344)) ([f10c757](https://github.com/openai/openai-node/commit/f10c757d831d90407ba47b4659d9cd34b1a35b1d)) + + +### Chores + +* **internal:** bump lock file ([#334](https://github.com/openai/openai-node/issues/334)) ([fd2337b](https://github.com/openai/openai-node/commit/fd2337b018ab2f31bcea8f9feda0ddaf755390c7)) +* **internal:** update lock file ([#339](https://github.com/openai/openai-node/issues/339)) ([1bf84b6](https://github.com/openai/openai-node/commit/1bf84b672c386f8ca46bb8fc120eb8d8d48b3a82)) +* **internal:** update lock file ([#342](https://github.com/openai/openai-node/issues/342)) ([0001f06](https://github.com/openai/openai-node/commit/0001f062728b0e2047d2bf03b9d947a4be0c7206)) +* **internal:** update lock file ([#343](https://github.com/openai/openai-node/issues/343)) ([a02ac8e](https://github.com/openai/openai-node/commit/a02ac8e7f881551527a3cbcadad53b7e424650e8)) + +## 4.10.0 (2023-09-21) + +Full Changelog: [v4.9.1...v4.10.0](https://github.com/openai/openai-node/compare/v4.9.1...v4.10.0) + +### Features + +* **api:** add 'gpt-3.5-turbo-instruct', fine-tune error objects, update documentation ([#329](https://github.com/openai/openai-node/issues/329)) ([e5f3852](https://github.com/openai/openai-node/commit/e5f385233737002b4bb47a94cba33da7fedfe64d)) + +## 4.10.0 (2023-09-21) + +Full Changelog: [v4.9.1...v4.10.0](https://github.com/openai/openai-node/compare/v4.9.1...v4.10.0) + +### Features + +* **api:** add 'gpt-3.5-turbo-instruct', fine-tune error objects, update documentation ([#329](https://github.com/openai/openai-node/issues/329)) ([e5f3852](https://github.com/openai/openai-node/commit/e5f385233737002b4bb47a94cba33da7fedfe64d)) + +## 4.9.1 (2023-09-21) + +Full Changelog: [v4.9.0...v4.9.1](https://github.com/openai/openai-node/compare/v4.9.0...v4.9.1) + +### Documentation + +* **README:** fix variable names in some examples ([#327](https://github.com/openai/openai-node/issues/327)) ([5e05b31](https://github.com/openai/openai-node/commit/5e05b31c132545ce166cea92c5f3e4410fd40711)) + +## 4.9.0 (2023-09-20) + +Full Changelog: [v4.8.0...v4.9.0](https://github.com/openai/openai-node/compare/v4.8.0...v4.9.0) + +### Features + +* **client:** support importing node or web shims manually ([#325](https://github.com/openai/openai-node/issues/325)) ([628f293](https://github.com/openai/openai-node/commit/628f2935a8791625685f68f73db8f3759b8f4f91)) + +## 4.8.0 (2023-09-15) + +Full Changelog: [v4.7.1...v4.8.0](https://github.com/openai/openai-node/compare/v4.7.1...v4.8.0) + +### Features + +* **errors:** add status code to error message ([#315](https://github.com/openai/openai-node/issues/315)) ([9341219](https://github.com/openai/openai-node/commit/93412197c67cb3fb203f35e3ae0a7c3fb173453e)) + +## 4.7.1 (2023-09-15) + +Full Changelog: [v4.7.0...v4.7.1](https://github.com/openai/openai-node/compare/v4.7.0...v4.7.1) + +### Documentation + +* declare Bun 1.0 officially supported ([#314](https://github.com/openai/openai-node/issues/314)) ([a16e268](https://github.com/openai/openai-node/commit/a16e26863390235cb43e2fe0e569298a4f84c32f)) + +## 4.7.0 (2023-09-14) + +Full Changelog: [v4.6.0...v4.7.0](https://github.com/openai/openai-node/compare/v4.6.0...v4.7.0) + +### Features + +* **client:** retry on 408 Request Timeout ([#310](https://github.com/openai/openai-node/issues/310)) ([1f98eac](https://github.com/openai/openai-node/commit/1f98eac5be956e56d75ef5456115165b45a4763c)) +* make docs urls in comments absolute ([#306](https://github.com/openai/openai-node/issues/306)) ([9db3819](https://github.com/openai/openai-node/commit/9db381961e38d2280b0602447e7d91691b327bde)) + +## 4.6.0 (2023-09-08) + +Full Changelog: [v4.5.0...v4.6.0](https://github.com/openai/openai-node/compare/v4.5.0...v4.6.0) + +### Features + +* **types:** extract ChatCompletionRole enum to its own type ([#298](https://github.com/openai/openai-node/issues/298)) ([5893e37](https://github.com/openai/openai-node/commit/5893e37406ff85331c85a3baa519ca3051a28e00)) + + +### Bug Fixes + +* fix module not found errors in Vercel edge ([#300](https://github.com/openai/openai-node/issues/300)) ([47c79fe](https://github.com/openai/openai-node/commit/47c79fee0fa715ad04410e73530829602736d85f)) + +## 4.5.0 (2023-09-06) + +Full Changelog: [v4.4.0...v4.5.0](https://github.com/openai/openai-node/compare/v4.4.0...v4.5.0) + +### Features + +* **client:** add files.waitForProcessing() method ([#292](https://github.com/openai/openai-node/issues/292)) ([ef59010](https://github.com/openai/openai-node/commit/ef59010cab0c666fa8a437ec6e27800789aa8705)) +* fixes tests where an array has to have unique enum values ([#290](https://github.com/openai/openai-node/issues/290)) ([a10b895](https://github.com/openai/openai-node/commit/a10b8956b3eaae7cdcb90329a8386a41219ca021)) +* make docs more readable by eliminating unnecessary escape sequences ([#287](https://github.com/openai/openai-node/issues/287)) ([a068043](https://github.com/openai/openai-node/commit/a06804314d4815d420c97f6f965c926ea70d56df)) + + +### Bug Fixes + +* **client:** fix TS errors that appear when users Go to Source in VSCode ([#281](https://github.com/openai/openai-node/issues/281)) ([8dc59bc](https://github.com/openai/openai-node/commit/8dc59bcf924cc991747ca475c714d915e04c6012)), closes [#249](https://github.com/openai/openai-node/issues/249) +* **client:** handle case where the client is instantiated with a undefined baseURL ([#285](https://github.com/openai/openai-node/issues/285)) ([5095cf3](https://github.com/openai/openai-node/commit/5095cf340743e4627b4f0ad2f055ebe332824d23)) +* **client:** use explicit file extensions in _shims imports ([#276](https://github.com/openai/openai-node/issues/276)) ([16fe929](https://github.com/openai/openai-node/commit/16fe929688d35c2ebe52c8cf1c1570bafda5f97e)) + + +### Documentation + +* **api:** update docstrings ([#286](https://github.com/openai/openai-node/issues/286)) ([664e953](https://github.com/openai/openai-node/commit/664e9532c8acfbf981e9a788ab40c111ebe2fda0)) +* **readme:** add link to api.md ([#291](https://github.com/openai/openai-node/issues/291)) ([0d1cce2](https://github.com/openai/openai-node/commit/0d1cce26cdc6567c10c8d72bbc72a788ffb8f2be)) + +## 4.4.0 (2023-09-01) + +Full Changelog: [v4.3.1...v4.4.0](https://github.com/openai/openai-node/compare/v4.3.1...v4.4.0) + +### Features + +* **package:** add Bun export map ([#269](https://github.com/openai/openai-node/issues/269)) ([16f239c](https://github.com/openai/openai-node/commit/16f239c6b4e8526371b01c511d2e0ebba4c5c8c6)) +* re-export chat completion types at the top level ([#268](https://github.com/openai/openai-node/issues/268)) ([1a71a39](https://github.com/openai/openai-node/commit/1a71a39421828fdde7b8605094363a5047d2fdc9)) +* **tests:** unskip multipart form data tests ([#275](https://github.com/openai/openai-node/issues/275)) ([47d3e18](https://github.com/openai/openai-node/commit/47d3e18a3ee987d04b958dad1a51821ad5472d54)) +* **types:** fix ambiguous auto-import for chat completions params ([#266](https://github.com/openai/openai-node/issues/266)) ([19c99fb](https://github.com/openai/openai-node/commit/19c99fb268d6d6c7fc7aaa66475c35f45d12b4bd)) + + +### Bug Fixes + +* revert import change which triggered circular import bug in webpack ([#274](https://github.com/openai/openai-node/issues/274)) ([6534e36](https://github.com/openai/openai-node/commit/6534e3620d7e2983e98b42cf95fa966deab1ab1d)) + +## 4.3.1 (2023-08-29) + +Full Changelog: [v4.3.0...v4.3.1](https://github.com/openai/openai-node/compare/v4.3.0...v4.3.1) + +### Bug Fixes + +* **types:** improve getNextPage() return type ([#262](https://github.com/openai/openai-node/issues/262)) ([245a984](https://github.com/openai/openai-node/commit/245a9847d1ba5bbe5262bc06b2f7bb7385cd3a9a)) + + +### Chores + +* **ci:** setup workflows to create releases and release PRs ([#259](https://github.com/openai/openai-node/issues/259)) ([290908c](https://github.com/openai/openai-node/commit/290908ce24dc6c31df18b2eb7808d5b495387454)) + +## [4.3.0](https://github.com/openai/openai-node/compare/v4.2.0...v4.3.0) (2023-08-27) + + +### Features + +* **client:** add auto-pagination to fine tuning list endpoints ([#254](https://github.com/openai/openai-node/issues/254)) ([5f89c5e](https://github.com/openai/openai-node/commit/5f89c5e6b9088cc2e86405a32b60cae91c078ce1)) +* **cli:** rewrite in JS for better compatibility ([#244](https://github.com/openai/openai-node/issues/244)) ([d8d7c05](https://github.com/openai/openai-node/commit/d8d7c0592bfad89669cd2f174e6207370cd7d3fb)) + + +### Bug Fixes + +* **stream:** declare Stream.controller as public ([#252](https://github.com/openai/openai-node/issues/252)) ([81e5de7](https://github.com/openai/openai-node/commit/81e5de7ba94c992cafa3d08e2697c8122382497a)) + + +### Documentation + +* **readme:** mention Azure support ([#253](https://github.com/openai/openai-node/issues/253)) ([294727a](https://github.com/openai/openai-node/commit/294727ad3543d91ef59df285ce1616c442d369db)) + + +### Chores + +* **internal:** add helper method ([#255](https://github.com/openai/openai-node/issues/255)) ([6d8cff0](https://github.com/openai/openai-node/commit/6d8cff00164c0f65ed40b941486f2e0d752feb1e)) + +## [4.2.0](https://github.com/openai/openai-node/compare/v4.1.0...v4.2.0) (2023-08-23) + + +### Features + +* **types:** export RequestOptions type ([#240](https://github.com/openai/openai-node/issues/240)) ([ecf3bce](https://github.com/openai/openai-node/commit/ecf3bcee3c64a80a3cd901aa32d3db78d1364645)) + + +### Chores + +* **internal:** export HeadersInit type shim ([#241](https://github.com/openai/openai-node/issues/241)) ([cf9f672](https://github.com/openai/openai-node/commit/cf9f6729b5b232a37841c33db33b2519b54f19b2)) diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md new file mode 100644 index 000000000..dde09d52d --- /dev/null +++ b/CONTRIBUTING.md @@ -0,0 +1,107 @@ +## Setting up the environment + +This repository uses [`yarn@v1`](https://classic.yarnpkg.com/lang/en/docs/install). +Other package managers may work but are not officially supported for development. + +To set up the repository, run: + +```sh +$ yarn +$ yarn build +``` + +This will install all the required dependencies and build output files to `dist/`. + +## Modifying/Adding code + +Most of the SDK is generated code. Modifications to code will be persisted between generations, but may +result in merge conflicts between manual patches and changes from the generator. The generator will never +modify the contents of the `src/lib/` and `examples/` directories. + +## Adding and running examples + +All files in the `examples/` directory are not modified by the generator and can be freely edited or added to. + +```ts +// add an example to examples/.ts + +#!/usr/bin/env -S npm run tsn -T +… +``` + +```sh +$ chmod +x examples/.ts +# run the example against your api +$ yarn tsn -T examples/.ts +``` + +## Using the repository from source + +If you’d like to use the repository from source, you can either install from git or link to a cloned repository: + +To install via git: + +```sh +$ npm install git+ssh://git@github.com:openai/openai-node.git +``` + +Alternatively, to link a local copy of the repo: + +```sh +# Clone +$ git clone https://www.github.com/openai/openai-node +$ cd openai-node + +# With yarn +$ yarn link +$ cd ../my-package +$ yarn link openai + +# With pnpm +$ pnpm link --global +$ cd ../my-package +$ pnpm link -—global openai +``` + +## Running tests + +Most tests require you to [set up a mock server](https://github.com/stoplightio/prism) against the OpenAPI spec to run the tests. + +```sh +$ npx prism mock path/to/your/openapi.yml +``` + +```sh +$ yarn run test +``` + +## Linting and formatting + +This repository uses [prettier](https://www.npmjs.com/package/prettier) and +[eslint](https://www.npmjs.com/package/eslint) to format the code in the repository. + +To lint: + +```sh +$ yarn lint +``` + +To format and fix all lint issues automatically: + +```sh +$ yarn fix +``` + +## Publishing and releases + +Changes made to this repository via the automated release PR pipeline should publish to npm automatically. If +the changes aren't made through the automated pipeline, you may want to make releases manually. + +### Publish with a GitHub workflow + +You can release to package managers by using [the `Publish NPM` GitHub action](https://www.github.com/openai/openai-node/actions/workflows/publish-npm.yml). This requires a setup organization or repository secret to be set up. + +### Publish manually + +If you need to manually release a package, you can run the `bin/publish-npm` script with an `NPM_TOKEN` set on +the environment. diff --git a/LICENSE b/LICENSE index 4f14854c3..f011417af 100644 --- a/LICENSE +++ b/LICENSE @@ -1,21 +1,201 @@ -The MIT License - -Copyright (c) OpenAI (https://openai.com) - -Permission is hereby granted, free of charge, to any person obtaining a copy -of this software and associated documentation files (the "Software"), to deal -in the Software without restriction, including without limitation the rights -to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is -furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in -all copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright 2025 OpenAI + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/README.md b/README.md index b00d5b425..bbf72226a 100644 --- a/README.md +++ b/README.md @@ -1,90 +1,494 @@ -# OpenAI Node.js Library +# OpenAI TypeScript and JavaScript API Library -The OpenAI Node.js library provides convenient access to the OpenAI API from Node.js applications. Most of the code in this library is generated from our [OpenAPI specification](https://github.com/openai/openai-openapi). +[![NPM version](https://img.shields.io/npm/v/openai.svg)](https://npmjs.org/package/openai) ![npm bundle size](https://img.shields.io/bundlephobia/minzip/openai) [![JSR Version](https://jsr.io/badges/@openai/openai)](https://jsr.io/@openai/openai) -**Important note: this library is meant for server-side usage only, as using it in client-side browser code will expose your secret API key. [See here](https://beta.openai.com/docs/api-reference/authentication) for more details.** +This library provides convenient access to the OpenAI REST API from TypeScript or JavaScript. + +It is generated from our [OpenAPI specification](https://github.com/openai/openai-openapi) with [Stainless](https://stainlessapi.com/). + +To learn how to use the OpenAI API, check out our [API Reference](https://platform.openai.com/docs/api-reference) and [Documentation](https://platform.openai.com/docs). ## Installation -```bash -$ npm install openai +```sh +npm install openai +``` + +### Installation from JSR + +```sh +deno add jsr:@openai/openai +npx jsr add @openai/openai +``` + +These commands will make the module importable from the `@openai/openai` scope. You can also [import directly from JSR](https://jsr.io/docs/using-packages#importing-with-jsr-specifiers) without an install step if you're using the Deno JavaScript runtime: + +```ts +import OpenAI from 'jsr:@openai/openai'; ``` ## Usage -The library needs to be configured with your account's secret key, which is available on the [website](https://beta.openai.com/account/api-keys). We recommend setting it as an environment variable. Here's an example of initializing the library with the API key loaded from an environment variable and creating a completion: +The full API of this library can be found in [api.md file](api.md) along with many [code examples](https://github.com/openai/openai-node/tree/master/examples). + +The primary API for interacting with OpenAI models is the [Responses API](https://platform.openai.com/docs/api-reference/responses). You can generate text from the model with the code below. + +```ts +import OpenAI from 'openai'; -```javascript -const { Configuration, OpenAIApi } = require("openai"); +const client = new OpenAI({ + apiKey: process.env['OPENAI_API_KEY'], // This is the default and can be omitted +}); + +const response = await client.responses.create({ + model: 'gpt-4o', + instructions: 'You are a coding assistant that talks like a pirate', + input: 'Are semicolons optional in JavaScript?', +}); + +console.log(response.output_text); +``` -const configuration = new Configuration({ - apiKey: process.env.OPENAI_API_KEY, +The previous standard (supported indefinitely) for generating text is the [Chat Completions API](https://platform.openai.com/docs/api-reference/chat). You can use that API to generate text from the model with the code below. + +```ts +import OpenAI from 'openai'; + +const client = new OpenAI({ + apiKey: process.env['OPENAI_API_KEY'], // This is the default and can be omitted }); -const openai = new OpenAIApi(configuration); -const completion = await openai.createCompletion({ - model: "text-davinci-003", - prompt: "Hello world", +const completion = await client.chat.completions.create({ + model: 'gpt-4o', + messages: [ + { role: 'developer', content: 'Talk like a pirate.' }, + { role: 'user', content: 'Are semicolons optional in JavaScript?' }, + ], }); -console.log(completion.data.choices[0].text); + +console.log(completion.choices[0].message.content); ``` -Check out the [full API documentation](https://beta.openai.com/docs/api-reference?lang=node.js) for examples of all the available functions. +## Streaming responses -### Request options +We provide support for streaming responses using Server Sent Events (SSE). -All of the available API request functions additionally contain an optional final parameter where you can pass custom [axios request options](https://axios-http.com/docs/req_config), for example: +```ts +import OpenAI from 'openai'; +const client = new OpenAI(); -```javascript -const completion = await openai.createCompletion( - { - model: "text-davinci-003", - prompt: "Hello world", - }, - { - timeout: 1000, - headers: { - "Example-Header": "example", - }, - } -); -``` - -### Error handling - -API requests can potentially return errors due to invalid inputs or other issues. These errors can be handled with a `try...catch` statement, and the error details can be found in either `error.response` or `error.message`: - -```javascript -try { - const completion = await openai.createCompletion({ - model: "text-davinci-003", - prompt: "Hello world", - }); - console.log(completion.data.choices[0].text); -} catch (error) { - if (error.response) { - console.log(error.response.status); - console.log(error.response.data); - } else { - console.log(error.message); +const stream = await client.responses.create({ + model: 'gpt-4o', + input: 'Say "Sheep sleep deep" ten times fast!', + stream: true, +}); + +for await (const event of stream) { + console.log(event); +} +``` + +## File uploads + +Request parameters that correspond to file uploads can be passed in many different forms: + +- `File` (or an object with the same structure) +- a `fetch` `Response` (or an object with the same structure) +- an `fs.ReadStream` +- the return value of our `toFile` helper + +```ts +import fs from 'fs'; +import fetch from 'node-fetch'; +import OpenAI, { toFile } from 'openai'; + +const client = new OpenAI(); + +// If you have access to Node `fs` we recommend using `fs.createReadStream()`: +await client.files.create({ file: fs.createReadStream('input.jsonl'), purpose: 'fine-tune' }); + +// Or if you have the web `File` API you can pass a `File` instance: +await client.files.create({ file: new File(['my bytes'], 'input.jsonl'), purpose: 'fine-tune' }); + +// You can also pass a `fetch` `Response`: +await client.files.create({ file: await fetch('http://github.com/service/https://somesite/input.jsonl'), purpose: 'fine-tune' }); + +// Finally, if none of the above are convenient, you can use our `toFile` helper: +await client.files.create({ + file: await toFile(Buffer.from('my bytes'), 'input.jsonl'), + purpose: 'fine-tune', +}); +await client.files.create({ + file: await toFile(new Uint8Array([0, 1, 2]), 'input.jsonl'), + purpose: 'fine-tune', +}); +``` + +## Handling errors + +When the library is unable to connect to the API, +or if the API returns a non-success status code (i.e., 4xx or 5xx response), +a subclass of `APIError` will be thrown: + + +```ts +async function main() { + const job = await client.fineTuning.jobs + .create({ model: 'gpt-4o', training_file: 'file-abc123' }) + .catch(async (err) => { + if (err instanceof OpenAI.APIError) { + console.log(err.request_id); + console.log(err.status); // 400 + console.log(err.name); // BadRequestError + console.log(err.headers); // {server: 'nginx', ...} + } else { + throw err; + } + }); +} + +main(); +``` + +Error codes are as follows: + +| Status Code | Error Type | +| ----------- | -------------------------- | +| 400 | `BadRequestError` | +| 401 | `AuthenticationError` | +| 403 | `PermissionDeniedError` | +| 404 | `NotFoundError` | +| 422 | `UnprocessableEntityError` | +| 429 | `RateLimitError` | +| >=500 | `InternalServerError` | +| N/A | `APIConnectionError` | + +### Retries + +Certain errors will be automatically retried 2 times by default, with a short exponential backoff. +Connection errors (for example, due to a network connectivity problem), 408 Request Timeout, 409 Conflict, +429 Rate Limit, and >=500 Internal errors will all be retried by default. + +You can use the `maxRetries` option to configure or disable this: + + +```js +// Configure the default for all requests: +const client = new OpenAI({ + maxRetries: 0, // default is 2 +}); + +// Or, configure per-request: +await client.chat.completions.create({ messages: [{ role: 'user', content: 'How can I get the name of the current day in JavaScript?' }], model: 'gpt-4o' }, { + maxRetries: 5, +}); +``` + +### Timeouts + +Requests time out after 10 minutes by default. You can configure this with a `timeout` option: + + +```ts +// Configure the default for all requests: +const client = new OpenAI({ + timeout: 20 * 1000, // 20 seconds (default is 10 minutes) +}); + +// Override per-request: +await client.chat.completions.create({ messages: [{ role: 'user', content: 'How can I list all files in a directory using Python?' }], model: 'gpt-4o' }, { + timeout: 5 * 1000, +}); +``` + +On timeout, an `APIConnectionTimeoutError` is thrown. + +Note that requests which time out will be [retried twice by default](#retries). + +## Request IDs + +> For more information on debugging requests, see [these docs](https://platform.openai.com/docs/api-reference/debugging-requests) + +All object responses in the SDK provide a `_request_id` property which is added from the `x-request-id` response header so that you can quickly log failing requests and report them back to OpenAI. + +```ts +const response = await client.responses.create({ model: 'gpt-4o', input: 'testing 123' }); +console.log(response._request_id) // req_123 +``` + +You can also access the Request ID using the `.withResponse()` method: + +```ts +const { data: stream, request_id } = await openai.responses + .create({ + model: 'gpt-4o', + input: 'Say this is a test', + stream: true, + }) + .withResponse(); +``` + +## Auto-pagination + +List methods in the OpenAI API are paginated. +You can use the `for await … of` syntax to iterate through items across all pages: + +```ts +async function fetchAllFineTuningJobs(params) { + const allFineTuningJobs = []; + // Automatically fetches more pages as needed. + for await (const fineTuningJob of client.fineTuning.jobs.list({ limit: 20 })) { + allFineTuningJobs.push(fineTuningJob); } + return allFineTuningJobs; +} +``` + +Alternatively, you can request a single page at a time: + +```ts +let page = await client.fineTuning.jobs.list({ limit: 20 }); +for (const fineTuningJob of page.data) { + console.log(fineTuningJob); +} + +// Convenience methods are provided for manually paginating: +while (page.hasNextPage()) { + page = await page.getNextPage(); + // ... } ``` -### Streaming completions +## Realtime API Beta + +The Realtime API enables you to build low-latency, multi-modal conversational experiences. It currently supports text and audio as both input and output, as well as [function calling](https://platform.openai.com/docs/guides/function-calling) through a `WebSocket` connection. + +```ts +import { OpenAIRealtimeWebSocket } from 'openai/beta/realtime/websocket'; + +const rt = new OpenAIRealtimeWebSocket({ model: 'gpt-4o-realtime-preview-2024-12-17' }); + +rt.on('response.text.delta', (event) => process.stdout.write(event.delta)); +``` + +For more information see [realtime.md](realtime.md). + +## Microsoft Azure OpenAI + +To use this library with [Azure OpenAI](https://learn.microsoft.com/azure/ai-services/openai/overview), use the `AzureOpenAI` +class instead of the `OpenAI` class. + +> [!IMPORTANT] +> The Azure API shape slightly differs from the core API shape which means that the static types for responses / params +> won't always be correct. + +```ts +import { AzureOpenAI } from 'openai'; +import { getBearerTokenProvider, DefaultAzureCredential } from '@azure/identity'; + +const credential = new DefaultAzureCredential(); +const scope = 'https://cognitiveservices.azure.com/.default'; +const azureADTokenProvider = getBearerTokenProvider(credential, scope); + +const openai = new AzureOpenAI({ azureADTokenProvider, apiVersion: "" }); + +const result = await openai.chat.completions.create({ + model: 'gpt-4o', + messages: [{ role: 'user', content: 'Say hello!' }], +}); + +console.log(result.choices[0]!.message?.content); +``` + +For more information on support for the Azure API, see [azure.md](azure.md). + +## Advanced Usage + +### Accessing raw Response data (e.g., headers) + +The "raw" `Response` returned by `fetch()` can be accessed through the `.asResponse()` method on the `APIPromise` type that all methods return. + +You can also use the `.withResponse()` method to get the raw `Response` along with the parsed data. + + +```ts +const client = new OpenAI(); + +const httpResponse = await client.responses + .create({ model: 'gpt-4o', input: 'say this is a test.' }) + .asResponse(); + +// access the underlying web standard Response object +console.log(httpResponse.headers.get('X-My-Header')); +console.log(httpResponse.statusText); + +const { data: modelResponse, response: raw } = await client.responses + .create({ model: 'gpt-4o', input: 'say this is a test.' }) + .withResponse(); +console.log(raw.headers.get('X-My-Header')); +console.log(modelResponse); +``` + +### Making custom/undocumented requests + +This library is typed for convenient access to the documented API. If you need to access undocumented +endpoints, params, or response properties, the library can still be used. + +#### Undocumented endpoints + +To make requests to undocumented endpoints, you can use `client.get`, `client.post`, and other HTTP verbs. +Options on the client, such as retries, will be respected when making these requests. + +```ts +await client.post('/some/path', { + body: { some_prop: 'foo' }, + query: { some_query_arg: 'bar' }, +}); +``` + +#### Undocumented request params + +To make requests using undocumented parameters, you may use `// @ts-expect-error` on the undocumented +parameter. This library doesn't validate at runtime that the request matches the type, so any extra values you +send will be sent as-is. + +```ts +client.foo.create({ + foo: 'my_param', + bar: 12, + // @ts-expect-error baz is not yet public + baz: 'undocumented option', +}); +``` + +For requests with the `GET` verb, any extra params will be in the query, all other requests will send the +extra param in the body. + +If you want to explicitly send an extra argument, you can do so with the `query`, `body`, and `headers` request +options. + +#### Undocumented response properties + +To access undocumented response properties, you may access the response object with `// @ts-expect-error` on +the response object, or cast the response object to the requisite type. Like the request params, we do not +validate or strip extra properties from the response from the API. + +### Customizing the fetch client + +> We're actively working on a new alpha version that migrates from `node-fetch` to builtin fetch. +> +> Please try it out and let us know if you run into any issues! +> https://community.openai.com/t/your-feedback-requested-node-js-sdk-5-0-0-alpha/1063774 + +By default, this library uses `node-fetch` in Node, and expects a global `fetch` function in other environments. + +If you would prefer to use a global, web-standards-compliant `fetch` function even in a Node environment, +(for example, if you are running Node with `--experimental-fetch` or using NextJS which polyfills with `undici`), +add the following import before your first import `from "OpenAI"`: + +```ts +// Tell TypeScript and the package to use the global web fetch instead of node-fetch. +// Note, despite the name, this does not add any polyfills, but expects them to be provided if needed. +import 'openai/shims/web'; +import OpenAI from 'openai'; +``` + +To do the inverse, add `import "openai/shims/node"` (which does import polyfills). +This can also be useful if you are getting the wrong TypeScript types for `Response` ([more details](https://github.com/openai/openai-node/tree/master/src/_shims#readme)). + +### Logging and middleware + +You may also provide a custom `fetch` function when instantiating the client, +which can be used to inspect or alter the `Request` or `Response` before/after each request: + +```ts +import { fetch } from 'undici'; // as one example +import OpenAI from 'openai'; + +const client = new OpenAI({ + fetch: async (url: RequestInfo, init?: RequestInit): Promise => { + console.log('About to make a request', url, init); + const response = await fetch(url, init); + console.log('Got response', response); + return response; + }, +}); +``` + +Note that if given a `DEBUG=true` environment variable, this library will log all requests and responses automatically. +This is intended for debugging purposes only and may change in the future without notice. + +### Configuring an HTTP(S) Agent (e.g., for proxies) + +By default, this library uses a stable agent for all http/https requests to reuse TCP connections, eliminating many TCP & TLS handshakes and shaving around 100ms off most requests. + +If you would like to disable or customize this behavior, for example to use the API behind a proxy, you can pass an `httpAgent` which is used for all requests (be they http or https), for example: + + +```ts +import http from 'http'; +import { HttpsProxyAgent } from 'https-proxy-agent'; + +// Configure the default for all requests: +const client = new OpenAI({ + httpAgent: new HttpsProxyAgent(process.env.PROXY_URL), +}); + +// Override per-request: +await client.models.list({ + httpAgent: new http.Agent({ keepAlive: false }), +}); +``` + +## Semantic versioning + +This package generally follows [SemVer](https://semver.org/spec/v2.0.0.html) conventions, though certain backwards-incompatible changes may be released as minor versions: + +1. Changes that only affect static types, without breaking runtime behavior. +2. Changes to library internals which are technically public but not intended or documented for external use. _(Please open a GitHub issue to let us know if you are relying on such internals.)_ +3. Changes that we do not expect to impact the vast majority of users in practice. + +We take backwards-compatibility seriously and work hard to ensure you can rely on a smooth upgrade experience. + +We are keen for your feedback; please open an [issue](https://www.github.com/openai/openai-node/issues) with questions, bugs, or suggestions. + +## Requirements + +TypeScript >= 4.5 is supported. + +The following runtimes are supported: + +- Node.js 18 LTS or later ([non-EOL](https://endoflife.date/nodejs)) versions. +- Deno v1.28.0 or higher. +- Bun 1.0 or later. +- Cloudflare Workers. +- Vercel Edge Runtime. +- Jest 28 or greater with the `"node"` environment (`"jsdom"` is not supported at this time). +- Nitro v2.6 or greater. +- Web browsers: disabled by default to avoid exposing your secret API credentials. Enable browser support by explicitly setting `dangerouslyAllowBrowser` to true'. +
+ More explanation + + ### Why is this dangerous? + + Enabling the `dangerouslyAllowBrowser` option can be dangerous because it exposes your secret API credentials in the client-side code. Web browsers are inherently less secure than server environments, + any user with access to the browser can potentially inspect, extract, and misuse these credentials. This could lead to unauthorized access using your credentials and potentially compromise sensitive data or functionality. + + ### When might this not be dangerous? -Streaming completions (`stream=true`) are not natively supported in this package yet, but [a workaround exists](https://github.com/openai/openai-node/issues/18#issuecomment-1369996933) if needed. + In certain scenarios where enabling browser support might not pose significant risks: -## Upgrade guide + - Internal Tools: If the application is used solely within a controlled internal environment where the users are trusted, the risk of credential exposure can be mitigated. + - Public APIs with Limited Scope: If your API has very limited scope and the exposed credentials do not grant access to sensitive data or critical operations, the potential impact of exposure is reduced. + - Development or debugging purpose: Enabling this feature temporarily might be acceptable, provided the credentials are short-lived, aren't also used in production environments, or are frequently rotated. -All breaking changes for major version releases are listed below. +
-### 3.0.0 +Note that React Native is not supported at this time. -- The function signature of `createCompletion(engineId, params)` changed to `createCompletion(params)`. The value previously passed in as the `engineId` argument should now be passed in as `model` in the params object (e.g. `createCompletion({ model: "text-davinci-003", ... })`) -- Replace any `createCompletionFromModel(params)` calls with `createCompletion(params)` +If you are interested in other runtime environments, please open or upvote an issue on GitHub. -## Thanks +## Contributing -Thank you to [ceifa](https://github.com/ceifa) for creating and maintaining the original unofficial `openai` npm package before we released this official library! ceifa's original package has been renamed to [gpt-x](https://www.npmjs.com/package/gpt-x). +See [the contributing documentation](./CONTRIBUTING.md). diff --git a/SECURITY.md b/SECURITY.md new file mode 100644 index 000000000..3b3bd8a66 --- /dev/null +++ b/SECURITY.md @@ -0,0 +1,29 @@ +# Security Policy + +## Reporting Security Issues + +This SDK is generated by [Stainless Software Inc](http://stainless.com). Stainless takes security seriously, and encourages you to report any security vulnerability promptly so that appropriate action can be taken. + +To report a security issue, please contact the Stainless team at security@stainless.com. + +## Responsible Disclosure + +We appreciate the efforts of security researchers and individuals who help us maintain the security of +SDKs we generate. If you believe you have found a security vulnerability, please adhere to responsible +disclosure practices by allowing us a reasonable amount of time to investigate and address the issue +before making any information public. + +## Reporting Non-SDK Related Security Issues + +If you encounter security issues that are not directly related to SDKs but pertain to the services +or products provided by OpenAI please follow the respective company's security reporting guidelines. + +### OpenAI Terms and Policies + +Our Security Policy can be found at [Security Policy URL](https://openai.com/policies/coordinated-vulnerability-disclosure-policy). + +Please contact disclosure@openai.com for any questions or concerns regarding security of our services. + +--- + +Thank you for helping us keep the SDKs and systems they interact with secure. diff --git a/api.md b/api.md new file mode 100644 index 000000000..cad696e7e --- /dev/null +++ b/api.md @@ -0,0 +1,758 @@ +# Shared + +Types: + +- AllModels +- ChatModel +- ComparisonFilter +- CompoundFilter +- ErrorObject +- FunctionDefinition +- FunctionParameters +- Metadata +- Reasoning +- ReasoningEffort +- ResponseFormatJSONObject +- ResponseFormatJSONSchema +- ResponseFormatText +- ResponsesModel + +# Completions + +Types: + +- Completion +- CompletionChoice +- CompletionUsage + +Methods: + +- client.completions.create({ ...params }) -> Completion + +# Chat + +Types: + +- ChatModel + +## Completions + +Types: + +- ChatCompletion +- ChatCompletionAssistantMessageParam +- ChatCompletionAudio +- ChatCompletionAudioParam +- ChatCompletionChunk +- ChatCompletionContentPart +- ChatCompletionContentPartImage +- ChatCompletionContentPartInputAudio +- ChatCompletionContentPartRefusal +- ChatCompletionContentPartText +- ChatCompletionDeleted +- ChatCompletionDeveloperMessageParam +- ChatCompletionFunctionCallOption +- ChatCompletionFunctionMessageParam +- ChatCompletionMessage +- ChatCompletionMessageParam +- ChatCompletionMessageToolCall +- ChatCompletionModality +- ChatCompletionNamedToolChoice +- ChatCompletionPredictionContent +- ChatCompletionRole +- ChatCompletionStoreMessage +- ChatCompletionStreamOptions +- ChatCompletionSystemMessageParam +- ChatCompletionTokenLogprob +- ChatCompletionTool +- ChatCompletionToolChoiceOption +- ChatCompletionToolMessageParam +- ChatCompletionUserMessageParam +- CreateChatCompletionRequestMessage +- ChatCompletionReasoningEffort + +Methods: + +- client.chat.completions.create({ ...params }) -> ChatCompletion +- client.chat.completions.retrieve(completionId) -> ChatCompletion +- client.chat.completions.update(completionId, { ...params }) -> ChatCompletion +- client.chat.completions.list({ ...params }) -> ChatCompletionsPage +- client.chat.completions.del(completionId) -> ChatCompletionDeleted + +### Messages + +Methods: + +- client.chat.completions.messages.list(completionId, { ...params }) -> ChatCompletionStoreMessagesPage + +# Embeddings + +Types: + +- CreateEmbeddingResponse +- Embedding +- EmbeddingModel + +Methods: + +- client.embeddings.create({ ...params }) -> CreateEmbeddingResponse + +# Files + +Types: + +- FileContent +- FileDeleted +- FileObject +- FilePurpose + +Methods: + +- client.files.create({ ...params }) -> FileObject +- client.files.retrieve(fileId) -> FileObject +- client.files.list({ ...params }) -> FileObjectsPage +- client.files.del(fileId) -> FileDeleted +- client.files.content(fileId) -> Response +- client.files.retrieveContent(fileId) -> string +- client.files.waitForProcessing(id, { pollInterval = 5000, maxWait = 30 _ 60 _ 1000 }) -> Promise<FileObject> + +# Images + +Types: + +- Image +- ImageModel +- ImagesResponse + +Methods: + +- client.images.createVariation({ ...params }) -> ImagesResponse +- client.images.edit({ ...params }) -> ImagesResponse +- client.images.generate({ ...params }) -> ImagesResponse + +# Audio + +Types: + +- AudioModel +- AudioResponseFormat + +## Transcriptions + +Types: + +- Transcription +- TranscriptionInclude +- TranscriptionSegment +- TranscriptionStreamEvent +- TranscriptionTextDeltaEvent +- TranscriptionTextDoneEvent +- TranscriptionVerbose +- TranscriptionWord +- TranscriptionCreateResponse + +Methods: + +- client.audio.transcriptions.create({ ...params }) -> TranscriptionCreateResponse + +## Translations + +Types: + +- Translation +- TranslationVerbose +- TranslationCreateResponse + +Methods: + +- client.audio.translations.create({ ...params }) -> TranslationCreateResponse + +## Speech + +Types: + +- SpeechModel + +Methods: + +- client.audio.speech.create({ ...params }) -> Response + +# Moderations + +Types: + +- Moderation +- ModerationImageURLInput +- ModerationModel +- ModerationMultiModalInput +- ModerationTextInput +- ModerationCreateResponse + +Methods: + +- client.moderations.create({ ...params }) -> ModerationCreateResponse + +# Models + +Types: + +- Model +- ModelDeleted + +Methods: + +- client.models.retrieve(model) -> Model +- client.models.list() -> ModelsPage +- client.models.del(model) -> ModelDeleted + +# FineTuning + +## Methods + +Types: + +- DpoHyperparameters +- DpoMethod +- ReinforcementHyperparameters +- ReinforcementMethod +- SupervisedHyperparameters +- SupervisedMethod + +## Jobs + +Types: + +- FineTuningJob +- FineTuningJobEvent +- FineTuningJobIntegration +- FineTuningJobWandbIntegration +- FineTuningJobWandbIntegrationObject + +Methods: + +- client.fineTuning.jobs.create({ ...params }) -> FineTuningJob +- client.fineTuning.jobs.retrieve(fineTuningJobId) -> FineTuningJob +- client.fineTuning.jobs.list({ ...params }) -> FineTuningJobsPage +- client.fineTuning.jobs.cancel(fineTuningJobId) -> FineTuningJob +- client.fineTuning.jobs.listEvents(fineTuningJobId, { ...params }) -> FineTuningJobEventsPage +- client.fineTuning.jobs.pause(fineTuningJobId) -> FineTuningJob +- client.fineTuning.jobs.resume(fineTuningJobId) -> FineTuningJob + +### Checkpoints + +Types: + +- FineTuningJobCheckpoint + +Methods: + +- client.fineTuning.jobs.checkpoints.list(fineTuningJobId, { ...params }) -> FineTuningJobCheckpointsPage + +## Checkpoints + +### Permissions + +Types: + +- PermissionCreateResponse +- PermissionRetrieveResponse +- PermissionDeleteResponse + +Methods: + +- client.fineTuning.checkpoints.permissions.create(fineTunedModelCheckpoint, { ...params }) -> PermissionCreateResponsesPage +- client.fineTuning.checkpoints.permissions.retrieve(fineTunedModelCheckpoint, { ...params }) -> PermissionRetrieveResponse +- client.fineTuning.checkpoints.permissions.del(fineTunedModelCheckpoint, permissionId) -> PermissionDeleteResponse + +## Alpha + +### Graders + +Types: + +- GraderRunResponse +- GraderValidateResponse + +Methods: + +- client.fineTuning.alpha.graders.run({ ...params }) -> GraderRunResponse +- client.fineTuning.alpha.graders.validate({ ...params }) -> GraderValidateResponse + +# Graders + +## GraderModels + +Types: + +- LabelModelGrader +- MultiGrader +- PythonGrader +- ScoreModelGrader +- StringCheckGrader +- TextSimilarityGrader + +# VectorStores + +Types: + +- AutoFileChunkingStrategyParam +- FileChunkingStrategy +- FileChunkingStrategyParam +- OtherFileChunkingStrategyObject +- StaticFileChunkingStrategy +- StaticFileChunkingStrategyObject +- StaticFileChunkingStrategyObjectParam +- VectorStore +- VectorStoreDeleted +- VectorStoreSearchResponse + +Methods: + +- client.vectorStores.create({ ...params }) -> VectorStore +- client.vectorStores.retrieve(vectorStoreId) -> VectorStore +- client.vectorStores.update(vectorStoreId, { ...params }) -> VectorStore +- client.vectorStores.list({ ...params }) -> VectorStoresPage +- client.vectorStores.del(vectorStoreId) -> VectorStoreDeleted +- client.vectorStores.search(vectorStoreId, { ...params }) -> VectorStoreSearchResponsesPage + +## Files + +Types: + +- VectorStoreFile +- VectorStoreFileDeleted +- FileContentResponse + +Methods: + +- client.vectorStores.files.create(vectorStoreId, { ...params }) -> VectorStoreFile +- client.vectorStores.files.retrieve(vectorStoreId, fileId) -> VectorStoreFile +- client.vectorStores.files.update(vectorStoreId, fileId, { ...params }) -> VectorStoreFile +- client.vectorStores.files.list(vectorStoreId, { ...params }) -> VectorStoreFilesPage +- client.vectorStores.files.del(vectorStoreId, fileId) -> VectorStoreFileDeleted +- client.vectorStores.files.content(vectorStoreId, fileId) -> FileContentResponsesPage +- client.beta.vectorStores.files.createAndPoll(vectorStoreId, body, options?) -> Promise<VectorStoreFile> +- client.beta.vectorStores.files.poll(vectorStoreId, fileId, options?) -> Promise<VectorStoreFile> +- client.beta.vectorStores.files.upload(vectorStoreId, file, options?) -> Promise<VectorStoreFile> +- client.beta.vectorStores.files.uploadAndPoll(vectorStoreId, file, options?) -> Promise<VectorStoreFile> + +## FileBatches + +Types: + +- VectorStoreFileBatch + +Methods: + +- client.vectorStores.fileBatches.create(vectorStoreId, { ...params }) -> VectorStoreFileBatch +- client.vectorStores.fileBatches.retrieve(vectorStoreId, batchId) -> VectorStoreFileBatch +- client.vectorStores.fileBatches.cancel(vectorStoreId, batchId) -> VectorStoreFileBatch +- client.vectorStores.fileBatches.listFiles(vectorStoreId, batchId, { ...params }) -> VectorStoreFilesPage +- client.beta.vectorStores.fileBatches.createAndPoll(vectorStoreId, body, options?) -> Promise<VectorStoreFileBatch> +- client.beta.vectorStores.fileBatches.poll(vectorStoreId, batchId, options?) -> Promise<VectorStoreFileBatch> +- client.beta.vectorStores.fileBatches.uploadAndPoll(vectorStoreId, { files, fileIds = [] }, options?) -> Promise<VectorStoreFileBatch> + +# Beta + +## Realtime + +Types: + +- ConversationCreatedEvent +- ConversationItem +- ConversationItemContent +- ConversationItemCreateEvent +- ConversationItemCreatedEvent +- ConversationItemDeleteEvent +- ConversationItemDeletedEvent +- ConversationItemInputAudioTranscriptionCompletedEvent +- ConversationItemInputAudioTranscriptionDeltaEvent +- ConversationItemInputAudioTranscriptionFailedEvent +- ConversationItemRetrieveEvent +- ConversationItemTruncateEvent +- ConversationItemTruncatedEvent +- ConversationItemWithReference +- ErrorEvent +- InputAudioBufferAppendEvent +- InputAudioBufferClearEvent +- InputAudioBufferClearedEvent +- InputAudioBufferCommitEvent +- InputAudioBufferCommittedEvent +- InputAudioBufferSpeechStartedEvent +- InputAudioBufferSpeechStoppedEvent +- RateLimitsUpdatedEvent +- RealtimeClientEvent +- RealtimeResponse +- RealtimeResponseStatus +- RealtimeResponseUsage +- RealtimeServerEvent +- ResponseAudioDeltaEvent +- ResponseAudioDoneEvent +- ResponseAudioTranscriptDeltaEvent +- ResponseAudioTranscriptDoneEvent +- ResponseCancelEvent +- ResponseContentPartAddedEvent +- ResponseContentPartDoneEvent +- ResponseCreateEvent +- ResponseCreatedEvent +- ResponseDoneEvent +- ResponseFunctionCallArgumentsDeltaEvent +- ResponseFunctionCallArgumentsDoneEvent +- ResponseOutputItemAddedEvent +- ResponseOutputItemDoneEvent +- ResponseTextDeltaEvent +- ResponseTextDoneEvent +- SessionCreatedEvent +- SessionUpdateEvent +- SessionUpdatedEvent +- TranscriptionSessionUpdate +- TranscriptionSessionUpdatedEvent + +### Sessions + +Types: + +- Session +- SessionCreateResponse + +Methods: + +- client.beta.realtime.sessions.create({ ...params }) -> SessionCreateResponse + +### TranscriptionSessions + +Types: + +- TranscriptionSession + +Methods: + +- client.beta.realtime.transcriptionSessions.create({ ...params }) -> TranscriptionSession + +## Assistants + +Types: + +- Assistant +- AssistantDeleted +- AssistantStreamEvent +- AssistantTool +- CodeInterpreterTool +- FileSearchTool +- FunctionTool +- MessageStreamEvent +- RunStepStreamEvent +- RunStreamEvent +- ThreadStreamEvent + +Methods: + +- client.beta.assistants.create({ ...params }) -> Assistant +- client.beta.assistants.retrieve(assistantId) -> Assistant +- client.beta.assistants.update(assistantId, { ...params }) -> Assistant +- client.beta.assistants.list({ ...params }) -> AssistantsPage +- client.beta.assistants.del(assistantId) -> AssistantDeleted + +## Threads + +Types: + +- AssistantResponseFormatOption +- AssistantToolChoice +- AssistantToolChoiceFunction +- AssistantToolChoiceOption +- Thread +- ThreadDeleted + +Methods: + +- client.beta.threads.create({ ...params }) -> Thread +- client.beta.threads.retrieve(threadId) -> Thread +- client.beta.threads.update(threadId, { ...params }) -> Thread +- client.beta.threads.del(threadId) -> ThreadDeleted +- client.beta.threads.createAndRun({ ...params }) -> Run +- client.beta.threads.createAndRunPoll(body, options?) -> Promise<Threads.Run> +- client.beta.threads.createAndRunStream(body, options?) -> AssistantStream + +### Runs + +Types: + +- RequiredActionFunctionToolCall +- Run +- RunStatus + +Methods: + +- client.beta.threads.runs.create(threadId, { ...params }) -> Run +- client.beta.threads.runs.retrieve(threadId, runId) -> Run +- client.beta.threads.runs.update(threadId, runId, { ...params }) -> Run +- client.beta.threads.runs.list(threadId, { ...params }) -> RunsPage +- client.beta.threads.runs.cancel(threadId, runId) -> Run +- client.beta.threads.runs.submitToolOutputs(threadId, runId, { ...params }) -> Run +- client.beta.threads.runs.createAndPoll(threadId, body, options?) -> Promise<Run> +- client.beta.threads.runs.createAndStream(threadId, body, options?) -> AssistantStream +- client.beta.threads.runs.poll(threadId, runId, options?) -> Promise<Run> +- client.beta.threads.runs.stream(threadId, body, options?) -> AssistantStream +- client.beta.threads.runs.submitToolOutputsAndPoll(threadId, runId, body, options?) -> Promise<Run> +- client.beta.threads.runs.submitToolOutputsStream(threadId, runId, body, options?) -> AssistantStream + +#### Steps + +Types: + +- CodeInterpreterLogs +- CodeInterpreterOutputImage +- CodeInterpreterToolCall +- CodeInterpreterToolCallDelta +- FileSearchToolCall +- FileSearchToolCallDelta +- FunctionToolCall +- FunctionToolCallDelta +- MessageCreationStepDetails +- RunStep +- RunStepDelta +- RunStepDeltaEvent +- RunStepDeltaMessageDelta +- RunStepInclude +- ToolCall +- ToolCallDelta +- ToolCallDeltaObject +- ToolCallsStepDetails + +Methods: + +- client.beta.threads.runs.steps.retrieve(threadId, runId, stepId, { ...params }) -> RunStep +- client.beta.threads.runs.steps.list(threadId, runId, { ...params }) -> RunStepsPage + +### Messages + +Types: + +- Annotation +- AnnotationDelta +- FileCitationAnnotation +- FileCitationDeltaAnnotation +- FilePathAnnotation +- FilePathDeltaAnnotation +- ImageFile +- ImageFileContentBlock +- ImageFileDelta +- ImageFileDeltaBlock +- ImageURL +- ImageURLContentBlock +- ImageURLDelta +- ImageURLDeltaBlock +- Message +- MessageContent +- MessageContentDelta +- MessageContentPartParam +- MessageDeleted +- MessageDelta +- MessageDeltaEvent +- RefusalContentBlock +- RefusalDeltaBlock +- Text +- TextContentBlock +- TextContentBlockParam +- TextDelta +- TextDeltaBlock + +Methods: + +- client.beta.threads.messages.create(threadId, { ...params }) -> Message +- client.beta.threads.messages.retrieve(threadId, messageId) -> Message +- client.beta.threads.messages.update(threadId, messageId, { ...params }) -> Message +- client.beta.threads.messages.list(threadId, { ...params }) -> MessagesPage +- client.beta.threads.messages.del(threadId, messageId) -> MessageDeleted + +# Batches + +Types: + +- Batch +- BatchError +- BatchRequestCounts + +Methods: + +- client.batches.create({ ...params }) -> Batch +- client.batches.retrieve(batchId) -> Batch +- client.batches.list({ ...params }) -> BatchesPage +- client.batches.cancel(batchId) -> Batch + +# Uploads + +Types: + +- Upload + +Methods: + +- client.uploads.create({ ...params }) -> Upload +- client.uploads.cancel(uploadId) -> Upload +- client.uploads.complete(uploadId, { ...params }) -> Upload + +## Parts + +Types: + +- UploadPart + +Methods: + +- client.uploads.parts.create(uploadId, { ...params }) -> UploadPart + +# Responses + +Types: + +- ComputerTool +- EasyInputMessage +- FileSearchTool +- FunctionTool +- Response +- ResponseAudioDeltaEvent +- ResponseAudioDoneEvent +- ResponseAudioTranscriptDeltaEvent +- ResponseAudioTranscriptDoneEvent +- ResponseCodeInterpreterCallCodeDeltaEvent +- ResponseCodeInterpreterCallCodeDoneEvent +- ResponseCodeInterpreterCallCompletedEvent +- ResponseCodeInterpreterCallInProgressEvent +- ResponseCodeInterpreterCallInterpretingEvent +- ResponseCodeInterpreterToolCall +- ResponseCompletedEvent +- ResponseComputerToolCall +- ResponseComputerToolCallOutputItem +- ResponseComputerToolCallOutputScreenshot +- ResponseContent +- ResponseContentPartAddedEvent +- ResponseContentPartDoneEvent +- ResponseCreatedEvent +- ResponseError +- ResponseErrorEvent +- ResponseFailedEvent +- ResponseFileSearchCallCompletedEvent +- ResponseFileSearchCallInProgressEvent +- ResponseFileSearchCallSearchingEvent +- ResponseFileSearchToolCall +- ResponseFormatTextConfig +- ResponseFormatTextJSONSchemaConfig +- ResponseFunctionCallArgumentsDeltaEvent +- ResponseFunctionCallArgumentsDoneEvent +- ResponseFunctionToolCall +- ResponseFunctionToolCallItem +- ResponseFunctionToolCallOutputItem +- ResponseFunctionWebSearch +- ResponseInProgressEvent +- ResponseIncludable +- ResponseIncompleteEvent +- ResponseInput +- ResponseInputAudio +- ResponseInputContent +- ResponseInputFile +- ResponseInputImage +- ResponseInputItem +- ResponseInputMessageContentList +- ResponseInputMessageItem +- ResponseInputText +- ResponseItem +- ResponseOutputAudio +- ResponseOutputItem +- ResponseOutputItemAddedEvent +- ResponseOutputItemDoneEvent +- ResponseOutputMessage +- ResponseOutputRefusal +- ResponseOutputText +- ResponseReasoningItem +- ResponseReasoningSummaryPartAddedEvent +- ResponseReasoningSummaryPartDoneEvent +- ResponseReasoningSummaryTextDeltaEvent +- ResponseReasoningSummaryTextDoneEvent +- ResponseRefusalDeltaEvent +- ResponseRefusalDoneEvent +- ResponseStatus +- ResponseStreamEvent +- ResponseTextAnnotationDeltaEvent +- ResponseTextConfig +- ResponseTextDeltaEvent +- ResponseTextDoneEvent +- ResponseUsage +- ResponseWebSearchCallCompletedEvent +- ResponseWebSearchCallInProgressEvent +- ResponseWebSearchCallSearchingEvent +- Tool +- ToolChoiceFunction +- ToolChoiceOptions +- ToolChoiceTypes +- WebSearchTool + +Methods: + +- client.responses.create({ ...params }) -> Response +- client.responses.retrieve(responseId, { ...params }) -> Response +- client.responses.del(responseId) -> void + +## InputItems + +Types: + +- ResponseItemList + +Methods: + +- client.responses.inputItems.list(responseId, { ...params }) -> ResponseItemsPage + +# Evals + +Types: + +- EvalCustomDataSourceConfig +- EvalStoredCompletionsDataSourceConfig +- EvalCreateResponse +- EvalRetrieveResponse +- EvalUpdateResponse +- EvalListResponse +- EvalDeleteResponse + +Methods: + +- client.evals.create({ ...params }) -> EvalCreateResponse +- client.evals.retrieve(evalId) -> EvalRetrieveResponse +- client.evals.update(evalId, { ...params }) -> EvalUpdateResponse +- client.evals.list({ ...params }) -> EvalListResponsesPage +- client.evals.del(evalId) -> EvalDeleteResponse + +## Runs + +Types: + +- CreateEvalCompletionsRunDataSource +- CreateEvalJSONLRunDataSource +- EvalAPIError +- RunCreateResponse +- RunRetrieveResponse +- RunListResponse +- RunDeleteResponse +- RunCancelResponse + +Methods: + +- client.evals.runs.create(evalId, { ...params }) -> RunCreateResponse +- client.evals.runs.retrieve(evalId, runId) -> RunRetrieveResponse +- client.evals.runs.list(evalId, { ...params }) -> RunListResponsesPage +- client.evals.runs.del(evalId, runId) -> RunDeleteResponse +- client.evals.runs.cancel(evalId, runId) -> RunCancelResponse + +### OutputItems + +Types: + +- OutputItemRetrieveResponse +- OutputItemListResponse + +Methods: + +- client.evals.runs.outputItems.retrieve(evalId, runId, outputItemId) -> OutputItemRetrieveResponse +- client.evals.runs.outputItems.list(evalId, runId, { ...params }) -> OutputItemListResponsesPage diff --git a/api.ts b/api.ts deleted file mode 100644 index 8e83852eb..000000000 --- a/api.ts +++ /dev/null @@ -1,3474 +0,0 @@ -/* tslint:disable */ -/* eslint-disable */ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.1.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ - - -import { Configuration } from './configuration'; -import globalAxios, { AxiosPromise, AxiosInstance, AxiosRequestConfig } from 'axios'; -// Some imports not used depending on template conditions -// @ts-ignore -import { DUMMY_BASE_URL, assertParamExists, setApiKeyToObject, setBasicAuthToObject, setBearerAuthToObject, setOAuthToObject, setSearchParams, serializeDataIfNeeded, toPathString, createRequestFunction } from './common'; -// @ts-ignore -import { BASE_PATH, COLLECTION_FORMATS, RequestArgs, BaseAPI, RequiredError } from './base'; - -/** - * - * @export - * @interface CreateAnswerRequest - */ -export interface CreateAnswerRequest { - /** - * ID of the model to use for completion. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @type {string} - * @memberof CreateAnswerRequest - */ - 'model': string; - /** - * Question to get answered. - * @type {string} - * @memberof CreateAnswerRequest - */ - 'question': string; - /** - * List of (question, answer) pairs that will help steer the model towards the tone and answer format you\'d like. We recommend adding 2 to 3 examples. - * @type {Array} - * @memberof CreateAnswerRequest - */ - 'examples': Array; - /** - * A text snippet containing the contextual information used to generate the answers for the `examples` you provide. - * @type {string} - * @memberof CreateAnswerRequest - */ - 'examples_context': string; - /** - * List of documents from which the answer for the input `question` should be derived. If this is an empty list, the question will be answered based on the question-answer examples. You should specify either `documents` or a `file`, but not both. - * @type {Array} - * @memberof CreateAnswerRequest - */ - 'documents'?: Array | null; - /** - * The ID of an uploaded file that contains documents to search over. See [upload file](/docs/api-reference/files/upload) for how to upload a file of the desired format and purpose. You should specify either `documents` or a `file`, but not both. - * @type {string} - * @memberof CreateAnswerRequest - */ - 'file'?: string | null; - /** - * ID of the model to use for [Search](/docs/api-reference/searches/create). You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @type {string} - * @memberof CreateAnswerRequest - */ - 'search_model'?: string | null; - /** - * The maximum number of documents to be ranked by [Search](/docs/api-reference/searches/create) when using `file`. Setting it to a higher value leads to improved accuracy but with increased latency and cost. - * @type {number} - * @memberof CreateAnswerRequest - */ - 'max_rerank'?: number | null; - /** - * What [sampling temperature](https://towardsdatascience.com/how-to-sample-from-language-models-682bceb97277) to use. Higher values mean the model will take more risks and value 0 (argmax sampling) works better for scenarios with a well-defined answer. - * @type {number} - * @memberof CreateAnswerRequest - */ - 'temperature'?: number | null; - /** - * Include the log probabilities on the `logprobs` most likely tokens, as well the chosen tokens. For example, if `logprobs` is 5, the API will return a list of the 5 most likely tokens. The API will always return the `logprob` of the sampled token, so there may be up to `logprobs+1` elements in the response. The maximum value for `logprobs` is 5. If you need more than this, please contact us through our [Help center](https://help.openai.com) and describe your use case. When `logprobs` is set, `completion` will be automatically added into `expand` to get the logprobs. - * @type {number} - * @memberof CreateAnswerRequest - */ - 'logprobs'?: number | null; - /** - * The maximum number of tokens allowed for the generated answer - * @type {number} - * @memberof CreateAnswerRequest - */ - 'max_tokens'?: number | null; - /** - * - * @type {CreateAnswerRequestStop} - * @memberof CreateAnswerRequest - */ - 'stop'?: CreateAnswerRequestStop | null; - /** - * How many answers to generate for each question. - * @type {number} - * @memberof CreateAnswerRequest - */ - 'n'?: number | null; - /** - * Modify the likelihood of specified tokens appearing in the completion. Accepts a json object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](/tokenizer?view=bpe) (which works for both GPT-2 and GPT-3) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token. As an example, you can pass `{\"50256\": -100}` to prevent the <|endoftext|> token from being generated. - * @type {object} - * @memberof CreateAnswerRequest - */ - 'logit_bias'?: object | null; - /** - * A special boolean flag for showing metadata. If set to `true`, each document entry in the returned JSON will contain a \"metadata\" field. This flag only takes effect when `file` is set. - * @type {boolean} - * @memberof CreateAnswerRequest - */ - 'return_metadata'?: boolean | null; - /** - * If set to `true`, the returned JSON will include a \"prompt\" field containing the final prompt that was used to request a completion. This is mainly useful for debugging purposes. - * @type {boolean} - * @memberof CreateAnswerRequest - */ - 'return_prompt'?: boolean | null; - /** - * If an object name is in the list, we provide the full information of the object; otherwise, we only provide the object ID. Currently we support `completion` and `file` objects for expansion. - * @type {Array} - * @memberof CreateAnswerRequest - */ - 'expand'?: Array | null; - /** - * A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @type {string} - * @memberof CreateAnswerRequest - */ - 'user'?: string; -} -/** - * @type CreateAnswerRequestStop - * Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence. - * @export - */ -export type CreateAnswerRequestStop = Array | string; - -/** - * - * @export - * @interface CreateAnswerResponse - */ -export interface CreateAnswerResponse { - /** - * - * @type {string} - * @memberof CreateAnswerResponse - */ - 'object'?: string; - /** - * - * @type {string} - * @memberof CreateAnswerResponse - */ - 'model'?: string; - /** - * - * @type {string} - * @memberof CreateAnswerResponse - */ - 'search_model'?: string; - /** - * - * @type {string} - * @memberof CreateAnswerResponse - */ - 'completion'?: string; - /** - * - * @type {Array} - * @memberof CreateAnswerResponse - */ - 'answers'?: Array; - /** - * - * @type {Array} - * @memberof CreateAnswerResponse - */ - 'selected_documents'?: Array; -} -/** - * - * @export - * @interface CreateAnswerResponseSelectedDocumentsInner - */ -export interface CreateAnswerResponseSelectedDocumentsInner { - /** - * - * @type {number} - * @memberof CreateAnswerResponseSelectedDocumentsInner - */ - 'document'?: number; - /** - * - * @type {string} - * @memberof CreateAnswerResponseSelectedDocumentsInner - */ - 'text'?: string; -} -/** - * - * @export - * @interface CreateClassificationRequest - */ -export interface CreateClassificationRequest { - /** - * ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them. - * @type {string} - * @memberof CreateClassificationRequest - */ - 'model': string; - /** - * Query to be classified. - * @type {string} - * @memberof CreateClassificationRequest - */ - 'query': string; - /** - * A list of examples with labels, in the following format: `[[\"The movie is so interesting.\", \"Positive\"], [\"It is quite boring.\", \"Negative\"], ...]` All the label strings will be normalized to be capitalized. You should specify either `examples` or `file`, but not both. - * @type {Array} - * @memberof CreateClassificationRequest - */ - 'examples'?: Array | null; - /** - * The ID of the uploaded file that contains training examples. See [upload file](/docs/api-reference/files/upload) for how to upload a file of the desired format and purpose. You should specify either `examples` or `file`, but not both. - * @type {string} - * @memberof CreateClassificationRequest - */ - 'file'?: string | null; - /** - * The set of categories being classified. If not specified, candidate labels will be automatically collected from the examples you provide. All the label strings will be normalized to be capitalized. - * @type {Array} - * @memberof CreateClassificationRequest - */ - 'labels'?: Array | null; - /** - * ID of the model to use for [Search](/docs/api-reference/searches/create). You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @type {string} - * @memberof CreateClassificationRequest - */ - 'search_model'?: string | null; - /** - * What sampling `temperature` to use. Higher values mean the model will take more risks. Try 0.9 for more creative applications, and 0 (argmax sampling) for ones with a well-defined answer. - * @type {number} - * @memberof CreateClassificationRequest - */ - 'temperature'?: number | null; - /** - * Include the log probabilities on the `logprobs` most likely tokens, as well the chosen tokens. For example, if `logprobs` is 5, the API will return a list of the 5 most likely tokens. The API will always return the `logprob` of the sampled token, so there may be up to `logprobs+1` elements in the response. The maximum value for `logprobs` is 5. If you need more than this, please contact us through our [Help center](https://help.openai.com) and describe your use case. When `logprobs` is set, `completion` will be automatically added into `expand` to get the logprobs. - * @type {number} - * @memberof CreateClassificationRequest - */ - 'logprobs'?: number | null; - /** - * The maximum number of examples to be ranked by [Search](/docs/api-reference/searches/create) when using `file`. Setting it to a higher value leads to improved accuracy but with increased latency and cost. - * @type {number} - * @memberof CreateClassificationRequest - */ - 'max_examples'?: number | null; - /** - * Modify the likelihood of specified tokens appearing in the completion. Accepts a json object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](/tokenizer?view=bpe) (which works for both GPT-2 and GPT-3) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token. As an example, you can pass `{\"50256\": -100}` to prevent the <|endoftext|> token from being generated. - * @type {object} - * @memberof CreateClassificationRequest - */ - 'logit_bias'?: object | null; - /** - * If set to `true`, the returned JSON will include a \"prompt\" field containing the final prompt that was used to request a completion. This is mainly useful for debugging purposes. - * @type {boolean} - * @memberof CreateClassificationRequest - */ - 'return_prompt'?: boolean | null; - /** - * A special boolean flag for showing metadata. If set to `true`, each document entry in the returned JSON will contain a \"metadata\" field. This flag only takes effect when `file` is set. - * @type {boolean} - * @memberof CreateClassificationRequest - */ - 'return_metadata'?: boolean | null; - /** - * If an object name is in the list, we provide the full information of the object; otherwise, we only provide the object ID. Currently we support `completion` and `file` objects for expansion. - * @type {Array} - * @memberof CreateClassificationRequest - */ - 'expand'?: Array | null; - /** - * A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @type {string} - * @memberof CreateClassificationRequest - */ - 'user'?: string; -} -/** - * - * @export - * @interface CreateClassificationResponse - */ -export interface CreateClassificationResponse { - /** - * - * @type {string} - * @memberof CreateClassificationResponse - */ - 'object'?: string; - /** - * - * @type {string} - * @memberof CreateClassificationResponse - */ - 'model'?: string; - /** - * - * @type {string} - * @memberof CreateClassificationResponse - */ - 'search_model'?: string; - /** - * - * @type {string} - * @memberof CreateClassificationResponse - */ - 'completion'?: string; - /** - * - * @type {string} - * @memberof CreateClassificationResponse - */ - 'label'?: string; - /** - * - * @type {Array} - * @memberof CreateClassificationResponse - */ - 'selected_examples'?: Array; -} -/** - * - * @export - * @interface CreateClassificationResponseSelectedExamplesInner - */ -export interface CreateClassificationResponseSelectedExamplesInner { - /** - * - * @type {number} - * @memberof CreateClassificationResponseSelectedExamplesInner - */ - 'document'?: number; - /** - * - * @type {string} - * @memberof CreateClassificationResponseSelectedExamplesInner - */ - 'text'?: string; - /** - * - * @type {string} - * @memberof CreateClassificationResponseSelectedExamplesInner - */ - 'label'?: string; -} -/** - * - * @export - * @interface CreateCompletionRequest - */ -export interface CreateCompletionRequest { - /** - * ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them. - * @type {string} - * @memberof CreateCompletionRequest - */ - 'model': string; - /** - * - * @type {CreateCompletionRequestPrompt} - * @memberof CreateCompletionRequest - */ - 'prompt'?: CreateCompletionRequestPrompt | null; - /** - * The suffix that comes after a completion of inserted text. - * @type {string} - * @memberof CreateCompletionRequest - */ - 'suffix'?: string | null; - /** - * The maximum number of [tokens](/tokenizer) to generate in the completion. The token count of your prompt plus `max_tokens` cannot exceed the model\'s context length. Most models have a context length of 2048 tokens (except for the newest models, which support 4096). - * @type {number} - * @memberof CreateCompletionRequest - */ - 'max_tokens'?: number | null; - /** - * What [sampling temperature](https://towardsdatascience.com/how-to-sample-from-language-models-682bceb97277) to use. Higher values means the model will take more risks. Try 0.9 for more creative applications, and 0 (argmax sampling) for ones with a well-defined answer. We generally recommend altering this or `top_p` but not both. - * @type {number} - * @memberof CreateCompletionRequest - */ - 'temperature'?: number | null; - /** - * An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or `temperature` but not both. - * @type {number} - * @memberof CreateCompletionRequest - */ - 'top_p'?: number | null; - /** - * How many completions to generate for each prompt. **Note:** Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for `max_tokens` and `stop`. - * @type {number} - * @memberof CreateCompletionRequest - */ - 'n'?: number | null; - /** - * Whether to stream back partial progress. If set, tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available, with the stream terminated by a `data: [DONE]` message. - * @type {boolean} - * @memberof CreateCompletionRequest - */ - 'stream'?: boolean | null; - /** - * Include the log probabilities on the `logprobs` most likely tokens, as well the chosen tokens. For example, if `logprobs` is 5, the API will return a list of the 5 most likely tokens. The API will always return the `logprob` of the sampled token, so there may be up to `logprobs+1` elements in the response. The maximum value for `logprobs` is 5. If you need more than this, please contact us through our [Help center](https://help.openai.com) and describe your use case. - * @type {number} - * @memberof CreateCompletionRequest - */ - 'logprobs'?: number | null; - /** - * Echo back the prompt in addition to the completion - * @type {boolean} - * @memberof CreateCompletionRequest - */ - 'echo'?: boolean | null; - /** - * - * @type {CreateCompletionRequestStop} - * @memberof CreateCompletionRequest - */ - 'stop'?: CreateCompletionRequestStop | null; - /** - * Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model\'s likelihood to talk about new topics. [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details) - * @type {number} - * @memberof CreateCompletionRequest - */ - 'presence_penalty'?: number | null; - /** - * Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model\'s likelihood to repeat the same line verbatim. [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details) - * @type {number} - * @memberof CreateCompletionRequest - */ - 'frequency_penalty'?: number | null; - /** - * Generates `best_of` completions server-side and returns the \"best\" (the one with the highest log probability per token). Results cannot be streamed. When used with `n`, `best_of` controls the number of candidate completions and `n` specifies how many to return – `best_of` must be greater than `n`. **Note:** Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for `max_tokens` and `stop`. - * @type {number} - * @memberof CreateCompletionRequest - */ - 'best_of'?: number | null; - /** - * Modify the likelihood of specified tokens appearing in the completion. Accepts a json object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](/tokenizer?view=bpe) (which works for both GPT-2 and GPT-3) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token. As an example, you can pass `{\"50256\": -100}` to prevent the <|endoftext|> token from being generated. - * @type {object} - * @memberof CreateCompletionRequest - */ - 'logit_bias'?: object | null; - /** - * A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @type {string} - * @memberof CreateCompletionRequest - */ - 'user'?: string; -} -/** - * @type CreateCompletionRequestPrompt - * The prompt(s) to generate completions for, encoded as a string, array of strings, array of tokens, or array of token arrays. Note that <|endoftext|> is the document separator that the model sees during training, so if a prompt is not specified the model will generate as if from the beginning of a new document. - * @export - */ -export type CreateCompletionRequestPrompt = Array | Array | Array | string; - -/** - * @type CreateCompletionRequestStop - * Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence. - * @export - */ -export type CreateCompletionRequestStop = Array | string; - -/** - * - * @export - * @interface CreateCompletionResponse - */ -export interface CreateCompletionResponse { - /** - * - * @type {string} - * @memberof CreateCompletionResponse - */ - 'id': string; - /** - * - * @type {string} - * @memberof CreateCompletionResponse - */ - 'object': string; - /** - * - * @type {number} - * @memberof CreateCompletionResponse - */ - 'created': number; - /** - * - * @type {string} - * @memberof CreateCompletionResponse - */ - 'model': string; - /** - * - * @type {Array} - * @memberof CreateCompletionResponse - */ - 'choices': Array; - /** - * - * @type {CreateCompletionResponseUsage} - * @memberof CreateCompletionResponse - */ - 'usage'?: CreateCompletionResponseUsage; -} -/** - * - * @export - * @interface CreateCompletionResponseChoicesInner - */ -export interface CreateCompletionResponseChoicesInner { - /** - * - * @type {string} - * @memberof CreateCompletionResponseChoicesInner - */ - 'text'?: string; - /** - * - * @type {number} - * @memberof CreateCompletionResponseChoicesInner - */ - 'index'?: number; - /** - * - * @type {CreateCompletionResponseChoicesInnerLogprobs} - * @memberof CreateCompletionResponseChoicesInner - */ - 'logprobs'?: CreateCompletionResponseChoicesInnerLogprobs | null; - /** - * - * @type {string} - * @memberof CreateCompletionResponseChoicesInner - */ - 'finish_reason'?: string; -} -/** - * - * @export - * @interface CreateCompletionResponseChoicesInnerLogprobs - */ -export interface CreateCompletionResponseChoicesInnerLogprobs { - /** - * - * @type {Array} - * @memberof CreateCompletionResponseChoicesInnerLogprobs - */ - 'tokens'?: Array; - /** - * - * @type {Array} - * @memberof CreateCompletionResponseChoicesInnerLogprobs - */ - 'token_logprobs'?: Array; - /** - * - * @type {Array} - * @memberof CreateCompletionResponseChoicesInnerLogprobs - */ - 'top_logprobs'?: Array; - /** - * - * @type {Array} - * @memberof CreateCompletionResponseChoicesInnerLogprobs - */ - 'text_offset'?: Array; -} -/** - * - * @export - * @interface CreateCompletionResponseUsage - */ -export interface CreateCompletionResponseUsage { - /** - * - * @type {number} - * @memberof CreateCompletionResponseUsage - */ - 'prompt_tokens': number; - /** - * - * @type {number} - * @memberof CreateCompletionResponseUsage - */ - 'completion_tokens': number; - /** - * - * @type {number} - * @memberof CreateCompletionResponseUsage - */ - 'total_tokens': number; -} -/** - * - * @export - * @interface CreateEditRequest - */ -export interface CreateEditRequest { - /** - * ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them. - * @type {string} - * @memberof CreateEditRequest - */ - 'model': string; - /** - * The input text to use as a starting point for the edit. - * @type {string} - * @memberof CreateEditRequest - */ - 'input'?: string | null; - /** - * The instruction that tells the model how to edit the prompt. - * @type {string} - * @memberof CreateEditRequest - */ - 'instruction': string; - /** - * How many edits to generate for the input and instruction. - * @type {number} - * @memberof CreateEditRequest - */ - 'n'?: number | null; - /** - * What [sampling temperature](https://towardsdatascience.com/how-to-sample-from-language-models-682bceb97277) to use. Higher values means the model will take more risks. Try 0.9 for more creative applications, and 0 (argmax sampling) for ones with a well-defined answer. We generally recommend altering this or `top_p` but not both. - * @type {number} - * @memberof CreateEditRequest - */ - 'temperature'?: number | null; - /** - * An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or `temperature` but not both. - * @type {number} - * @memberof CreateEditRequest - */ - 'top_p'?: number | null; -} -/** - * - * @export - * @interface CreateEditResponse - */ -export interface CreateEditResponse { - /** - * - * @type {string} - * @memberof CreateEditResponse - */ - 'id': string; - /** - * - * @type {string} - * @memberof CreateEditResponse - */ - 'object': string; - /** - * - * @type {number} - * @memberof CreateEditResponse - */ - 'created': number; - /** - * - * @type {string} - * @memberof CreateEditResponse - */ - 'model': string; - /** - * - * @type {Array} - * @memberof CreateEditResponse - */ - 'choices': Array; - /** - * - * @type {CreateCompletionResponseUsage} - * @memberof CreateEditResponse - */ - 'usage': CreateCompletionResponseUsage; -} -/** - * - * @export - * @interface CreateEmbeddingRequest - */ -export interface CreateEmbeddingRequest { - /** - * ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them. - * @type {string} - * @memberof CreateEmbeddingRequest - */ - 'model': string; - /** - * - * @type {CreateEmbeddingRequestInput} - * @memberof CreateEmbeddingRequest - */ - 'input': CreateEmbeddingRequestInput; - /** - * A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @type {string} - * @memberof CreateEmbeddingRequest - */ - 'user'?: string; -} -/** - * @type CreateEmbeddingRequestInput - * Input text to get embeddings for, encoded as a string or array of tokens. To get embeddings for multiple inputs in a single request, pass an array of strings or array of token arrays. Each input must not exceed 2048 tokens in length. Unless you are embedding code, we suggest replacing newlines (`\\n`) in your input with a single space, as we have observed inferior results when newlines are present. - * @export - */ -export type CreateEmbeddingRequestInput = Array | Array | Array | string; - -/** - * - * @export - * @interface CreateEmbeddingResponse - */ -export interface CreateEmbeddingResponse { - /** - * - * @type {string} - * @memberof CreateEmbeddingResponse - */ - 'object': string; - /** - * - * @type {string} - * @memberof CreateEmbeddingResponse - */ - 'model': string; - /** - * - * @type {Array} - * @memberof CreateEmbeddingResponse - */ - 'data': Array; - /** - * - * @type {CreateEmbeddingResponseUsage} - * @memberof CreateEmbeddingResponse - */ - 'usage': CreateEmbeddingResponseUsage; -} -/** - * - * @export - * @interface CreateEmbeddingResponseDataInner - */ -export interface CreateEmbeddingResponseDataInner { - /** - * - * @type {number} - * @memberof CreateEmbeddingResponseDataInner - */ - 'index': number; - /** - * - * @type {string} - * @memberof CreateEmbeddingResponseDataInner - */ - 'object': string; - /** - * - * @type {Array} - * @memberof CreateEmbeddingResponseDataInner - */ - 'embedding': Array; -} -/** - * - * @export - * @interface CreateEmbeddingResponseUsage - */ -export interface CreateEmbeddingResponseUsage { - /** - * - * @type {number} - * @memberof CreateEmbeddingResponseUsage - */ - 'prompt_tokens': number; - /** - * - * @type {number} - * @memberof CreateEmbeddingResponseUsage - */ - 'total_tokens': number; -} -/** - * - * @export - * @interface CreateFineTuneRequest - */ -export interface CreateFineTuneRequest { - /** - * The ID of an uploaded file that contains training data. See [upload file](/docs/api-reference/files/upload) for how to upload a file. Your dataset must be formatted as a JSONL file, where each training example is a JSON object with the keys \"prompt\" and \"completion\". Additionally, you must upload your file with the purpose `fine-tune`. See the [fine-tuning guide](/docs/guides/fine-tuning/creating-training-data) for more details. - * @type {string} - * @memberof CreateFineTuneRequest - */ - 'training_file': string; - /** - * The ID of an uploaded file that contains validation data. If you provide this file, the data is used to generate validation metrics periodically during fine-tuning. These metrics can be viewed in the [fine-tuning results file](/docs/guides/fine-tuning/analyzing-your-fine-tuned-model). Your train and validation data should be mutually exclusive. Your dataset must be formatted as a JSONL file, where each validation example is a JSON object with the keys \"prompt\" and \"completion\". Additionally, you must upload your file with the purpose `fine-tune`. See the [fine-tuning guide](/docs/guides/fine-tuning/creating-training-data) for more details. - * @type {string} - * @memberof CreateFineTuneRequest - */ - 'validation_file'?: string | null; - /** - * The name of the base model to fine-tune. You can select one of \"ada\", \"babbage\", \"curie\", \"davinci\", or a fine-tuned model created after 2022-04-21. To learn more about these models, see the [Models](https://beta.openai.com/docs/models) documentation. - * @type {string} - * @memberof CreateFineTuneRequest - */ - 'model'?: string | null; - /** - * The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset. - * @type {number} - * @memberof CreateFineTuneRequest - */ - 'n_epochs'?: number | null; - /** - * The batch size to use for training. The batch size is the number of training examples used to train a single forward and backward pass. By default, the batch size will be dynamically configured to be ~0.2% of the number of examples in the training set, capped at 256 - in general, we\'ve found that larger batch sizes tend to work better for larger datasets. - * @type {number} - * @memberof CreateFineTuneRequest - */ - 'batch_size'?: number | null; - /** - * The learning rate multiplier to use for training. The fine-tuning learning rate is the original learning rate used for pretraining multiplied by this value. By default, the learning rate multiplier is the 0.05, 0.1, or 0.2 depending on final `batch_size` (larger learning rates tend to perform better with larger batch sizes). We recommend experimenting with values in the range 0.02 to 0.2 to see what produces the best results. - * @type {number} - * @memberof CreateFineTuneRequest - */ - 'learning_rate_multiplier'?: number | null; - /** - * The weight to use for loss on the prompt tokens. This controls how much the model tries to learn to generate the prompt (as compared to the completion which always has a weight of 1.0), and can add a stabilizing effect to training when completions are short. If prompts are extremely long (relative to completions), it may make sense to reduce this weight so as to avoid over-prioritizing learning the prompt. - * @type {number} - * @memberof CreateFineTuneRequest - */ - 'prompt_loss_weight'?: number | null; - /** - * If set, we calculate classification-specific metrics such as accuracy and F-1 score using the validation set at the end of every epoch. These metrics can be viewed in the [results file](/docs/guides/fine-tuning/analyzing-your-fine-tuned-model). In order to compute classification metrics, you must provide a `validation_file`. Additionally, you must specify `classification_n_classes` for multiclass classification or `classification_positive_class` for binary classification. - * @type {boolean} - * @memberof CreateFineTuneRequest - */ - 'compute_classification_metrics'?: boolean | null; - /** - * The number of classes in a classification task. This parameter is required for multiclass classification. - * @type {number} - * @memberof CreateFineTuneRequest - */ - 'classification_n_classes'?: number | null; - /** - * The positive class in binary classification. This parameter is needed to generate precision, recall, and F1 metrics when doing binary classification. - * @type {string} - * @memberof CreateFineTuneRequest - */ - 'classification_positive_class'?: string | null; - /** - * If this is provided, we calculate F-beta scores at the specified beta values. The F-beta score is a generalization of F-1 score. This is only used for binary classification. With a beta of 1 (i.e. the F-1 score), precision and recall are given the same weight. A larger beta score puts more weight on recall and less on precision. A smaller beta score puts more weight on precision and less on recall. - * @type {Array} - * @memberof CreateFineTuneRequest - */ - 'classification_betas'?: Array | null; - /** - * A string of up to 40 characters that will be added to your fine-tuned model name. For example, a `suffix` of \"custom-model-name\" would produce a model name like `ada:ft-your-org:custom-model-name-2022-02-15-04-21-04`. - * @type {string} - * @memberof CreateFineTuneRequest - */ - 'suffix'?: string | null; -} -/** - * - * @export - * @interface CreateImageRequest - */ -export interface CreateImageRequest { - /** - * A text description of the desired image(s). The maximum length is 1000 characters. - * @type {string} - * @memberof CreateImageRequest - */ - 'prompt': string; - /** - * The number of images to generate. Must be between 1 and 10. - * @type {number} - * @memberof CreateImageRequest - */ - 'n'?: number | null; - /** - * The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @type {string} - * @memberof CreateImageRequest - */ - 'size'?: CreateImageRequestSizeEnum; - /** - * The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @type {string} - * @memberof CreateImageRequest - */ - 'response_format'?: CreateImageRequestResponseFormatEnum; - /** - * A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @type {string} - * @memberof CreateImageRequest - */ - 'user'?: string; -} - -export const CreateImageRequestSizeEnum = { - _256x256: '256x256', - _512x512: '512x512', - _1024x1024: '1024x1024' -} as const; - -export type CreateImageRequestSizeEnum = typeof CreateImageRequestSizeEnum[keyof typeof CreateImageRequestSizeEnum]; -export const CreateImageRequestResponseFormatEnum = { - Url: 'url', - B64Json: 'b64_json' -} as const; - -export type CreateImageRequestResponseFormatEnum = typeof CreateImageRequestResponseFormatEnum[keyof typeof CreateImageRequestResponseFormatEnum]; - -/** - * - * @export - * @interface CreateModerationRequest - */ -export interface CreateModerationRequest { - /** - * - * @type {CreateModerationRequestInput} - * @memberof CreateModerationRequest - */ - 'input': CreateModerationRequestInput; - /** - * Two content moderations models are available: `text-moderation-stable` and `text-moderation-latest`. The default is `text-moderation-latest` which will be automatically upgraded over time. This ensures you are always using our most accurate model. If you use `text-moderation-stable`, we will provide advanced notice before updating the model. Accuracy of `text-moderation-stable` may be slightly lower than for `text-moderation-latest`. - * @type {string} - * @memberof CreateModerationRequest - */ - 'model'?: string; -} -/** - * @type CreateModerationRequestInput - * The input text to classify - * @export - */ -export type CreateModerationRequestInput = Array | string; - -/** - * - * @export - * @interface CreateModerationResponse - */ -export interface CreateModerationResponse { - /** - * - * @type {string} - * @memberof CreateModerationResponse - */ - 'id': string; - /** - * - * @type {string} - * @memberof CreateModerationResponse - */ - 'model': string; - /** - * - * @type {Array} - * @memberof CreateModerationResponse - */ - 'results': Array; -} -/** - * - * @export - * @interface CreateModerationResponseResultsInner - */ -export interface CreateModerationResponseResultsInner { - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInner - */ - 'flagged': boolean; - /** - * - * @type {CreateModerationResponseResultsInnerCategories} - * @memberof CreateModerationResponseResultsInner - */ - 'categories': CreateModerationResponseResultsInnerCategories; - /** - * - * @type {CreateModerationResponseResultsInnerCategoryScores} - * @memberof CreateModerationResponseResultsInner - */ - 'category_scores': CreateModerationResponseResultsInnerCategoryScores; -} -/** - * - * @export - * @interface CreateModerationResponseResultsInnerCategories - */ -export interface CreateModerationResponseResultsInnerCategories { - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'hate': boolean; - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'hate/threatening': boolean; - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'self-harm': boolean; - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'sexual': boolean; - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'sexual/minors': boolean; - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'violence': boolean; - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'violence/graphic': boolean; -} -/** - * - * @export - * @interface CreateModerationResponseResultsInnerCategoryScores - */ -export interface CreateModerationResponseResultsInnerCategoryScores { - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'hate': number; - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'hate/threatening': number; - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'self-harm': number; - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'sexual': number; - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'sexual/minors': number; - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'violence': number; - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'violence/graphic': number; -} -/** - * - * @export - * @interface CreateSearchRequest - */ -export interface CreateSearchRequest { - /** - * Query to search against the documents. - * @type {string} - * @memberof CreateSearchRequest - */ - 'query': string; - /** - * Up to 200 documents to search over, provided as a list of strings. The maximum document length (in tokens) is 2034 minus the number of tokens in the query. You should specify either `documents` or a `file`, but not both. - * @type {Array} - * @memberof CreateSearchRequest - */ - 'documents'?: Array | null; - /** - * The ID of an uploaded file that contains documents to search over. You should specify either `documents` or a `file`, but not both. - * @type {string} - * @memberof CreateSearchRequest - */ - 'file'?: string | null; - /** - * The maximum number of documents to be re-ranked and returned by search. This flag only takes effect when `file` is set. - * @type {number} - * @memberof CreateSearchRequest - */ - 'max_rerank'?: number | null; - /** - * A special boolean flag for showing metadata. If set to `true`, each document entry in the returned JSON will contain a \"metadata\" field. This flag only takes effect when `file` is set. - * @type {boolean} - * @memberof CreateSearchRequest - */ - 'return_metadata'?: boolean | null; - /** - * A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @type {string} - * @memberof CreateSearchRequest - */ - 'user'?: string; -} -/** - * - * @export - * @interface CreateSearchResponse - */ -export interface CreateSearchResponse { - /** - * - * @type {string} - * @memberof CreateSearchResponse - */ - 'object'?: string; - /** - * - * @type {string} - * @memberof CreateSearchResponse - */ - 'model'?: string; - /** - * - * @type {Array} - * @memberof CreateSearchResponse - */ - 'data'?: Array; -} -/** - * - * @export - * @interface CreateSearchResponseDataInner - */ -export interface CreateSearchResponseDataInner { - /** - * - * @type {string} - * @memberof CreateSearchResponseDataInner - */ - 'object'?: string; - /** - * - * @type {number} - * @memberof CreateSearchResponseDataInner - */ - 'document'?: number; - /** - * - * @type {number} - * @memberof CreateSearchResponseDataInner - */ - 'score'?: number; -} -/** - * - * @export - * @interface DeleteFileResponse - */ -export interface DeleteFileResponse { - /** - * - * @type {string} - * @memberof DeleteFileResponse - */ - 'id': string; - /** - * - * @type {string} - * @memberof DeleteFileResponse - */ - 'object': string; - /** - * - * @type {boolean} - * @memberof DeleteFileResponse - */ - 'deleted': boolean; -} -/** - * - * @export - * @interface DeleteModelResponse - */ -export interface DeleteModelResponse { - /** - * - * @type {string} - * @memberof DeleteModelResponse - */ - 'id': string; - /** - * - * @type {string} - * @memberof DeleteModelResponse - */ - 'object': string; - /** - * - * @type {boolean} - * @memberof DeleteModelResponse - */ - 'deleted': boolean; -} -/** - * - * @export - * @interface Engine - */ -export interface Engine { - /** - * - * @type {string} - * @memberof Engine - */ - 'id': string; - /** - * - * @type {string} - * @memberof Engine - */ - 'object': string; - /** - * - * @type {number} - * @memberof Engine - */ - 'created': number | null; - /** - * - * @type {boolean} - * @memberof Engine - */ - 'ready': boolean; -} -/** - * - * @export - * @interface FineTune - */ -export interface FineTune { - /** - * - * @type {string} - * @memberof FineTune - */ - 'id': string; - /** - * - * @type {string} - * @memberof FineTune - */ - 'object': string; - /** - * - * @type {number} - * @memberof FineTune - */ - 'created_at': number; - /** - * - * @type {number} - * @memberof FineTune - */ - 'updated_at': number; - /** - * - * @type {string} - * @memberof FineTune - */ - 'model': string; - /** - * - * @type {string} - * @memberof FineTune - */ - 'fine_tuned_model': string | null; - /** - * - * @type {string} - * @memberof FineTune - */ - 'organization_id': string; - /** - * - * @type {string} - * @memberof FineTune - */ - 'status': string; - /** - * - * @type {object} - * @memberof FineTune - */ - 'hyperparams': object; - /** - * - * @type {Array} - * @memberof FineTune - */ - 'training_files': Array; - /** - * - * @type {Array} - * @memberof FineTune - */ - 'validation_files': Array; - /** - * - * @type {Array} - * @memberof FineTune - */ - 'result_files': Array; - /** - * - * @type {Array} - * @memberof FineTune - */ - 'events'?: Array; -} -/** - * - * @export - * @interface FineTuneEvent - */ -export interface FineTuneEvent { - /** - * - * @type {string} - * @memberof FineTuneEvent - */ - 'object': string; - /** - * - * @type {number} - * @memberof FineTuneEvent - */ - 'created_at': number; - /** - * - * @type {string} - * @memberof FineTuneEvent - */ - 'level': string; - /** - * - * @type {string} - * @memberof FineTuneEvent - */ - 'message': string; -} -/** - * - * @export - * @interface ImagesResponse - */ -export interface ImagesResponse { - /** - * - * @type {number} - * @memberof ImagesResponse - */ - 'created': number; - /** - * - * @type {Array} - * @memberof ImagesResponse - */ - 'data': Array; -} -/** - * - * @export - * @interface ImagesResponseDataInner - */ -export interface ImagesResponseDataInner { - /** - * - * @type {string} - * @memberof ImagesResponseDataInner - */ - 'url'?: string; - /** - * - * @type {string} - * @memberof ImagesResponseDataInner - */ - 'b64_json'?: string; -} -/** - * - * @export - * @interface ListEnginesResponse - */ -export interface ListEnginesResponse { - /** - * - * @type {string} - * @memberof ListEnginesResponse - */ - 'object': string; - /** - * - * @type {Array} - * @memberof ListEnginesResponse - */ - 'data': Array; -} -/** - * - * @export - * @interface ListFilesResponse - */ -export interface ListFilesResponse { - /** - * - * @type {string} - * @memberof ListFilesResponse - */ - 'object': string; - /** - * - * @type {Array} - * @memberof ListFilesResponse - */ - 'data': Array; -} -/** - * - * @export - * @interface ListFineTuneEventsResponse - */ -export interface ListFineTuneEventsResponse { - /** - * - * @type {string} - * @memberof ListFineTuneEventsResponse - */ - 'object': string; - /** - * - * @type {Array} - * @memberof ListFineTuneEventsResponse - */ - 'data': Array; -} -/** - * - * @export - * @interface ListFineTunesResponse - */ -export interface ListFineTunesResponse { - /** - * - * @type {string} - * @memberof ListFineTunesResponse - */ - 'object': string; - /** - * - * @type {Array} - * @memberof ListFineTunesResponse - */ - 'data': Array; -} -/** - * - * @export - * @interface ListModelsResponse - */ -export interface ListModelsResponse { - /** - * - * @type {string} - * @memberof ListModelsResponse - */ - 'object': string; - /** - * - * @type {Array} - * @memberof ListModelsResponse - */ - 'data': Array; -} -/** - * - * @export - * @interface Model - */ -export interface Model { - /** - * - * @type {string} - * @memberof Model - */ - 'id': string; - /** - * - * @type {string} - * @memberof Model - */ - 'object': string; - /** - * - * @type {number} - * @memberof Model - */ - 'created': number; - /** - * - * @type {string} - * @memberof Model - */ - 'owned_by': string; -} -/** - * - * @export - * @interface OpenAIFile - */ -export interface OpenAIFile { - /** - * - * @type {string} - * @memberof OpenAIFile - */ - 'id': string; - /** - * - * @type {string} - * @memberof OpenAIFile - */ - 'object': string; - /** - * - * @type {number} - * @memberof OpenAIFile - */ - 'bytes': number; - /** - * - * @type {number} - * @memberof OpenAIFile - */ - 'created_at': number; - /** - * - * @type {string} - * @memberof OpenAIFile - */ - 'filename': string; - /** - * - * @type {string} - * @memberof OpenAIFile - */ - 'purpose': string; - /** - * - * @type {string} - * @memberof OpenAIFile - */ - 'status'?: string; - /** - * - * @type {object} - * @memberof OpenAIFile - */ - 'status_details'?: object | null; -} - -/** - * OpenAIApi - axios parameter creator - * @export - */ -export const OpenAIApiAxiosParamCreator = function (configuration?: Configuration) { - return { - /** - * - * @summary Immediately cancel a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to cancel - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - cancelFineTune: async (fineTuneId: string, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'fineTuneId' is not null or undefined - assertParamExists('cancelFineTune', 'fineTuneId', fineTuneId) - const localVarPath = `/fine-tunes/{fine_tune_id}/cancel` - .replace(`{${"fine_tune_id"}}`, encodeURIComponent(String(fineTuneId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions). - * @param {CreateAnswerRequest} createAnswerRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createAnswer: async (createAnswerRequest: CreateAnswerRequest, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'createAnswerRequest' is not null or undefined - assertParamExists('createAnswer', 'createAnswerRequest', createAnswerRequest) - const localVarPath = `/answers`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - localVarHeaderParameter['Content-Type'] = 'application/json'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = serializeDataIfNeeded(createAnswerRequest, localVarRequestOptions, configuration) - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases. - * @param {CreateClassificationRequest} createClassificationRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createClassification: async (createClassificationRequest: CreateClassificationRequest, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'createClassificationRequest' is not null or undefined - assertParamExists('createClassification', 'createClassificationRequest', createClassificationRequest) - const localVarPath = `/classifications`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - localVarHeaderParameter['Content-Type'] = 'application/json'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = serializeDataIfNeeded(createClassificationRequest, localVarRequestOptions, configuration) - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Creates a completion for the provided prompt and parameters - * @param {CreateCompletionRequest} createCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createCompletion: async (createCompletionRequest: CreateCompletionRequest, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'createCompletionRequest' is not null or undefined - assertParamExists('createCompletion', 'createCompletionRequest', createCompletionRequest) - const localVarPath = `/completions`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - localVarHeaderParameter['Content-Type'] = 'application/json'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = serializeDataIfNeeded(createCompletionRequest, localVarRequestOptions, configuration) - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Creates a new edit for the provided input, instruction, and parameters - * @param {CreateEditRequest} createEditRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEdit: async (createEditRequest: CreateEditRequest, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'createEditRequest' is not null or undefined - assertParamExists('createEdit', 'createEditRequest', createEditRequest) - const localVarPath = `/edits`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - localVarHeaderParameter['Content-Type'] = 'application/json'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = serializeDataIfNeeded(createEditRequest, localVarRequestOptions, configuration) - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Creates an embedding vector representing the input text. - * @param {CreateEmbeddingRequest} createEmbeddingRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEmbedding: async (createEmbeddingRequest: CreateEmbeddingRequest, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'createEmbeddingRequest' is not null or undefined - assertParamExists('createEmbedding', 'createEmbeddingRequest', createEmbeddingRequest) - const localVarPath = `/embeddings`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - localVarHeaderParameter['Content-Type'] = 'application/json'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = serializeDataIfNeeded(createEmbeddingRequest, localVarRequestOptions, configuration) - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit. - * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded. If the `purpose` is set to \\\"fine-tune\\\", each line is a JSON record with \\\"prompt\\\" and \\\"completion\\\" fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data). - * @param {string} purpose The intended purpose of the uploaded documents. Use \\\"fine-tune\\\" for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFile: async (file: File, purpose: string, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'file' is not null or undefined - assertParamExists('createFile', 'file', file) - // verify required parameter 'purpose' is not null or undefined - assertParamExists('createFile', 'purpose', purpose) - const localVarPath = `/files`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - const localVarFormParams = new ((configuration && configuration.formDataCtor) || FormData)(); - - - if (file !== undefined) { - localVarFormParams.append('file', file as any); - } - - if (purpose !== undefined) { - localVarFormParams.append('purpose', purpose as any); - } - - - localVarHeaderParameter['Content-Type'] = 'multipart/form-data'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...localVarFormParams.getHeaders(), ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = localVarFormParams; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {CreateFineTuneRequest} createFineTuneRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFineTune: async (createFineTuneRequest: CreateFineTuneRequest, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'createFineTuneRequest' is not null or undefined - assertParamExists('createFineTune', 'createFineTuneRequest', createFineTuneRequest) - const localVarPath = `/fine-tunes`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - localVarHeaderParameter['Content-Type'] = 'application/json'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = serializeDataIfNeeded(createFineTuneRequest, localVarRequestOptions, configuration) - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Creates an image given a prompt. - * @param {CreateImageRequest} createImageRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImage: async (createImageRequest: CreateImageRequest, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'createImageRequest' is not null or undefined - assertParamExists('createImage', 'createImageRequest', createImageRequest) - const localVarPath = `/images/generations`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - localVarHeaderParameter['Content-Type'] = 'application/json'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = serializeDataIfNeeded(createImageRequest, localVarRequestOptions, configuration) - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Creates an edited or extended image given an original image and a prompt. - * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. - * @param {File} mask An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. - * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageEdit: async (image: File, mask: File, prompt: string, n?: number, size?: string, responseFormat?: string, user?: string, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'image' is not null or undefined - assertParamExists('createImageEdit', 'image', image) - // verify required parameter 'mask' is not null or undefined - assertParamExists('createImageEdit', 'mask', mask) - // verify required parameter 'prompt' is not null or undefined - assertParamExists('createImageEdit', 'prompt', prompt) - const localVarPath = `/images/edits`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - const localVarFormParams = new ((configuration && configuration.formDataCtor) || FormData)(); - - - if (image !== undefined) { - localVarFormParams.append('image', image as any); - } - - if (mask !== undefined) { - localVarFormParams.append('mask', mask as any); - } - - if (prompt !== undefined) { - localVarFormParams.append('prompt', prompt as any); - } - - if (n !== undefined) { - localVarFormParams.append('n', n as any); - } - - if (size !== undefined) { - localVarFormParams.append('size', size as any); - } - - if (responseFormat !== undefined) { - localVarFormParams.append('response_format', responseFormat as any); - } - - if (user !== undefined) { - localVarFormParams.append('user', user as any); - } - - - localVarHeaderParameter['Content-Type'] = 'multipart/form-data'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...localVarFormParams.getHeaders(), ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = localVarFormParams; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Creates a variation of a given image. - * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageVariation: async (image: File, n?: number, size?: string, responseFormat?: string, user?: string, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'image' is not null or undefined - assertParamExists('createImageVariation', 'image', image) - const localVarPath = `/images/variations`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - const localVarFormParams = new ((configuration && configuration.formDataCtor) || FormData)(); - - - if (image !== undefined) { - localVarFormParams.append('image', image as any); - } - - if (n !== undefined) { - localVarFormParams.append('n', n as any); - } - - if (size !== undefined) { - localVarFormParams.append('size', size as any); - } - - if (responseFormat !== undefined) { - localVarFormParams.append('response_format', responseFormat as any); - } - - if (user !== undefined) { - localVarFormParams.append('user', user as any); - } - - - localVarHeaderParameter['Content-Type'] = 'multipart/form-data'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...localVarFormParams.getHeaders(), ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = localVarFormParams; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Classifies if text violates OpenAI\'s Content Policy - * @param {CreateModerationRequest} createModerationRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createModeration: async (createModerationRequest: CreateModerationRequest, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'createModerationRequest' is not null or undefined - assertParamExists('createModeration', 'createModerationRequest', createModerationRequest) - const localVarPath = `/moderations`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - localVarHeaderParameter['Content-Type'] = 'application/json'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = serializeDataIfNeeded(createModerationRequest, localVarRequestOptions, configuration) - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them. To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores. The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query. - * @param {string} engineId The ID of the engine to use for this request. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @param {CreateSearchRequest} createSearchRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createSearch: async (engineId: string, createSearchRequest: CreateSearchRequest, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'engineId' is not null or undefined - assertParamExists('createSearch', 'engineId', engineId) - // verify required parameter 'createSearchRequest' is not null or undefined - assertParamExists('createSearch', 'createSearchRequest', createSearchRequest) - const localVarPath = `/engines/{engine_id}/search` - .replace(`{${"engine_id"}}`, encodeURIComponent(String(engineId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'POST', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - localVarHeaderParameter['Content-Type'] = 'application/json'; - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - localVarRequestOptions.data = serializeDataIfNeeded(createSearchRequest, localVarRequestOptions, configuration) - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Delete a file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteFile: async (fileId: string, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'fileId' is not null or undefined - assertParamExists('deleteFile', 'fileId', fileId) - const localVarPath = `/files/{file_id}` - .replace(`{${"file_id"}}`, encodeURIComponent(String(fileId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'DELETE', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Delete a fine-tuned model. You must have the Owner role in your organization. - * @param {string} model The model to delete - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteModel: async (model: string, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'model' is not null or undefined - assertParamExists('deleteModel', 'model', model) - const localVarPath = `/models/{model}` - .replace(`{${"model"}}`, encodeURIComponent(String(model))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'DELETE', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Returns the contents of the specified file - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - downloadFile: async (fileId: string, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'fileId' is not null or undefined - assertParamExists('downloadFile', 'fileId', fileId) - const localVarPath = `/files/{file_id}/content` - .replace(`{${"file_id"}}`, encodeURIComponent(String(fileId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'GET', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - listEngines: async (options: AxiosRequestConfig = {}): Promise => { - const localVarPath = `/engines`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'GET', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Returns a list of files that belong to the user\'s organization. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFiles: async (options: AxiosRequestConfig = {}): Promise => { - const localVarPath = `/files`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'GET', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Get fine-grained status updates for a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to get events for. - * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a `data: [DONE]` message when the job is finished (succeeded, cancelled, or failed). If set to false, only events generated so far will be returned. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTuneEvents: async (fineTuneId: string, stream?: boolean, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'fineTuneId' is not null or undefined - assertParamExists('listFineTuneEvents', 'fineTuneId', fineTuneId) - const localVarPath = `/fine-tunes/{fine_tune_id}/events` - .replace(`{${"fine_tune_id"}}`, encodeURIComponent(String(fineTuneId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'GET', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - if (stream !== undefined) { - localVarQueryParameter['stream'] = stream; - } - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary List your organization\'s fine-tuning jobs - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTunes: async (options: AxiosRequestConfig = {}): Promise => { - const localVarPath = `/fine-tunes`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'GET', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listModels: async (options: AxiosRequestConfig = {}): Promise => { - const localVarPath = `/models`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'GET', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Retrieves a model instance, providing basic information about it such as the owner and availability. - * @param {string} engineId The ID of the engine to use for this request - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - retrieveEngine: async (engineId: string, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'engineId' is not null or undefined - assertParamExists('retrieveEngine', 'engineId', engineId) - const localVarPath = `/engines/{engine_id}` - .replace(`{${"engine_id"}}`, encodeURIComponent(String(engineId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'GET', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Returns information about a specific file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFile: async (fileId: string, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'fileId' is not null or undefined - assertParamExists('retrieveFile', 'fileId', fileId) - const localVarPath = `/files/{file_id}` - .replace(`{${"file_id"}}`, encodeURIComponent(String(fileId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'GET', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Gets info about the fine-tune job. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {string} fineTuneId The ID of the fine-tune job - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFineTune: async (fineTuneId: string, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'fineTuneId' is not null or undefined - assertParamExists('retrieveFineTune', 'fineTuneId', fineTuneId) - const localVarPath = `/fine-tunes/{fine_tune_id}` - .replace(`{${"fine_tune_id"}}`, encodeURIComponent(String(fineTuneId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'GET', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - /** - * - * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - * @param {string} model The ID of the model to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveModel: async (model: string, options: AxiosRequestConfig = {}): Promise => { - // verify required parameter 'model' is not null or undefined - assertParamExists('retrieveModel', 'model', model) - const localVarPath = `/models/{model}` - .replace(`{${"model"}}`, encodeURIComponent(String(model))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - - const localVarRequestOptions = { method: 'GET', ...baseOptions, ...options}; - const localVarHeaderParameter = {} as any; - const localVarQueryParameter = {} as any; - - - - setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = {...localVarHeaderParameter, ...headersFromBaseOptions, ...options.headers}; - - return { - url: toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }, - } -}; - -/** - * OpenAIApi - functional programming interface - * @export - */ -export const OpenAIApiFp = function(configuration?: Configuration) { - const localVarAxiosParamCreator = OpenAIApiAxiosParamCreator(configuration) - return { - /** - * - * @summary Immediately cancel a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to cancel - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async cancelFineTune(fineTuneId: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.cancelFineTune(fineTuneId, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions). - * @param {CreateAnswerRequest} createAnswerRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - async createAnswer(createAnswerRequest: CreateAnswerRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createAnswer(createAnswerRequest, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases. - * @param {CreateClassificationRequest} createClassificationRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - async createClassification(createClassificationRequest: CreateClassificationRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createClassification(createClassificationRequest, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Creates a completion for the provided prompt and parameters - * @param {CreateCompletionRequest} createCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async createCompletion(createCompletionRequest: CreateCompletionRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createCompletion(createCompletionRequest, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Creates a new edit for the provided input, instruction, and parameters - * @param {CreateEditRequest} createEditRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async createEdit(createEditRequest: CreateEditRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createEdit(createEditRequest, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Creates an embedding vector representing the input text. - * @param {CreateEmbeddingRequest} createEmbeddingRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async createEmbedding(createEmbeddingRequest: CreateEmbeddingRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createEmbedding(createEmbeddingRequest, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit. - * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded. If the `purpose` is set to \\\"fine-tune\\\", each line is a JSON record with \\\"prompt\\\" and \\\"completion\\\" fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data). - * @param {string} purpose The intended purpose of the uploaded documents. Use \\\"fine-tune\\\" for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async createFile(file: File, purpose: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createFile(file, purpose, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {CreateFineTuneRequest} createFineTuneRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async createFineTune(createFineTuneRequest: CreateFineTuneRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createFineTune(createFineTuneRequest, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Creates an image given a prompt. - * @param {CreateImageRequest} createImageRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async createImage(createImageRequest: CreateImageRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createImage(createImageRequest, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Creates an edited or extended image given an original image and a prompt. - * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. - * @param {File} mask An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. - * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async createImageEdit(image: File, mask: File, prompt: string, n?: number, size?: string, responseFormat?: string, user?: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createImageEdit(image, mask, prompt, n, size, responseFormat, user, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Creates a variation of a given image. - * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async createImageVariation(image: File, n?: number, size?: string, responseFormat?: string, user?: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createImageVariation(image, n, size, responseFormat, user, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Classifies if text violates OpenAI\'s Content Policy - * @param {CreateModerationRequest} createModerationRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async createModeration(createModerationRequest: CreateModerationRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createModeration(createModerationRequest, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them. To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores. The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query. - * @param {string} engineId The ID of the engine to use for this request. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @param {CreateSearchRequest} createSearchRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - async createSearch(engineId: string, createSearchRequest: CreateSearchRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.createSearch(engineId, createSearchRequest, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Delete a file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async deleteFile(fileId: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.deleteFile(fileId, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Delete a fine-tuned model. You must have the Owner role in your organization. - * @param {string} model The model to delete - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async deleteModel(model: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.deleteModel(model, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Returns the contents of the specified file - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async downloadFile(fileId: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.downloadFile(fileId, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - async listEngines(options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.listEngines(options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Returns a list of files that belong to the user\'s organization. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async listFiles(options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.listFiles(options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Get fine-grained status updates for a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to get events for. - * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a `data: [DONE]` message when the job is finished (succeeded, cancelled, or failed). If set to false, only events generated so far will be returned. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async listFineTuneEvents(fineTuneId: string, stream?: boolean, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.listFineTuneEvents(fineTuneId, stream, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary List your organization\'s fine-tuning jobs - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async listFineTunes(options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.listFineTunes(options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async listModels(options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.listModels(options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Retrieves a model instance, providing basic information about it such as the owner and availability. - * @param {string} engineId The ID of the engine to use for this request - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - async retrieveEngine(engineId: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.retrieveEngine(engineId, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Returns information about a specific file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async retrieveFile(fileId: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.retrieveFile(fileId, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Gets info about the fine-tune job. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {string} fineTuneId The ID of the fine-tune job - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async retrieveFineTune(fineTuneId: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.retrieveFineTune(fineTuneId, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - /** - * - * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - * @param {string} model The ID of the model to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - async retrieveModel(model: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise> { - const localVarAxiosArgs = await localVarAxiosParamCreator.retrieveModel(model, options); - return createRequestFunction(localVarAxiosArgs, globalAxios, BASE_PATH, configuration); - }, - } -}; - -/** - * OpenAIApi - factory interface - * @export - */ -export const OpenAIApiFactory = function (configuration?: Configuration, basePath?: string, axios?: AxiosInstance) { - const localVarFp = OpenAIApiFp(configuration) - return { - /** - * - * @summary Immediately cancel a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to cancel - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - cancelFineTune(fineTuneId: string, options?: any): AxiosPromise { - return localVarFp.cancelFineTune(fineTuneId, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions). - * @param {CreateAnswerRequest} createAnswerRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createAnswer(createAnswerRequest: CreateAnswerRequest, options?: any): AxiosPromise { - return localVarFp.createAnswer(createAnswerRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases. - * @param {CreateClassificationRequest} createClassificationRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createClassification(createClassificationRequest: CreateClassificationRequest, options?: any): AxiosPromise { - return localVarFp.createClassification(createClassificationRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates a completion for the provided prompt and parameters - * @param {CreateCompletionRequest} createCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createCompletion(createCompletionRequest: CreateCompletionRequest, options?: any): AxiosPromise { - return localVarFp.createCompletion(createCompletionRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates a new edit for the provided input, instruction, and parameters - * @param {CreateEditRequest} createEditRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEdit(createEditRequest: CreateEditRequest, options?: any): AxiosPromise { - return localVarFp.createEdit(createEditRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates an embedding vector representing the input text. - * @param {CreateEmbeddingRequest} createEmbeddingRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEmbedding(createEmbeddingRequest: CreateEmbeddingRequest, options?: any): AxiosPromise { - return localVarFp.createEmbedding(createEmbeddingRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit. - * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded. If the `purpose` is set to \\\"fine-tune\\\", each line is a JSON record with \\\"prompt\\\" and \\\"completion\\\" fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data). - * @param {string} purpose The intended purpose of the uploaded documents. Use \\\"fine-tune\\\" for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFile(file: File, purpose: string, options?: any): AxiosPromise { - return localVarFp.createFile(file, purpose, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {CreateFineTuneRequest} createFineTuneRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFineTune(createFineTuneRequest: CreateFineTuneRequest, options?: any): AxiosPromise { - return localVarFp.createFineTune(createFineTuneRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates an image given a prompt. - * @param {CreateImageRequest} createImageRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImage(createImageRequest: CreateImageRequest, options?: any): AxiosPromise { - return localVarFp.createImage(createImageRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates an edited or extended image given an original image and a prompt. - * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. - * @param {File} mask An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. - * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageEdit(image: File, mask: File, prompt: string, n?: number, size?: string, responseFormat?: string, user?: string, options?: any): AxiosPromise { - return localVarFp.createImageEdit(image, mask, prompt, n, size, responseFormat, user, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates a variation of a given image. - * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageVariation(image: File, n?: number, size?: string, responseFormat?: string, user?: string, options?: any): AxiosPromise { - return localVarFp.createImageVariation(image, n, size, responseFormat, user, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Classifies if text violates OpenAI\'s Content Policy - * @param {CreateModerationRequest} createModerationRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createModeration(createModerationRequest: CreateModerationRequest, options?: any): AxiosPromise { - return localVarFp.createModeration(createModerationRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them. To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores. The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query. - * @param {string} engineId The ID of the engine to use for this request. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @param {CreateSearchRequest} createSearchRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createSearch(engineId: string, createSearchRequest: CreateSearchRequest, options?: any): AxiosPromise { - return localVarFp.createSearch(engineId, createSearchRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Delete a file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteFile(fileId: string, options?: any): AxiosPromise { - return localVarFp.deleteFile(fileId, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Delete a fine-tuned model. You must have the Owner role in your organization. - * @param {string} model The model to delete - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteModel(model: string, options?: any): AxiosPromise { - return localVarFp.deleteModel(model, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Returns the contents of the specified file - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - downloadFile(fileId: string, options?: any): AxiosPromise { - return localVarFp.downloadFile(fileId, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - listEngines(options?: any): AxiosPromise { - return localVarFp.listEngines(options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Returns a list of files that belong to the user\'s organization. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFiles(options?: any): AxiosPromise { - return localVarFp.listFiles(options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Get fine-grained status updates for a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to get events for. - * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a `data: [DONE]` message when the job is finished (succeeded, cancelled, or failed). If set to false, only events generated so far will be returned. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTuneEvents(fineTuneId: string, stream?: boolean, options?: any): AxiosPromise { - return localVarFp.listFineTuneEvents(fineTuneId, stream, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary List your organization\'s fine-tuning jobs - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTunes(options?: any): AxiosPromise { - return localVarFp.listFineTunes(options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listModels(options?: any): AxiosPromise { - return localVarFp.listModels(options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Retrieves a model instance, providing basic information about it such as the owner and availability. - * @param {string} engineId The ID of the engine to use for this request - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - retrieveEngine(engineId: string, options?: any): AxiosPromise { - return localVarFp.retrieveEngine(engineId, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Returns information about a specific file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFile(fileId: string, options?: any): AxiosPromise { - return localVarFp.retrieveFile(fileId, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Gets info about the fine-tune job. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {string} fineTuneId The ID of the fine-tune job - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFineTune(fineTuneId: string, options?: any): AxiosPromise { - return localVarFp.retrieveFineTune(fineTuneId, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - * @param {string} model The ID of the model to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveModel(model: string, options?: any): AxiosPromise { - return localVarFp.retrieveModel(model, options).then((request) => request(axios, basePath)); - }, - }; -}; - -/** - * OpenAIApi - object-oriented interface - * @export - * @class OpenAIApi - * @extends {BaseAPI} - */ -export class OpenAIApi extends BaseAPI { - /** - * - * @summary Immediately cancel a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to cancel - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public cancelFineTune(fineTuneId: string, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).cancelFineTune(fineTuneId, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions). - * @param {CreateAnswerRequest} createAnswerRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createAnswer(createAnswerRequest: CreateAnswerRequest, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createAnswer(createAnswerRequest, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases. - * @param {CreateClassificationRequest} createClassificationRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createClassification(createClassificationRequest: CreateClassificationRequest, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createClassification(createClassificationRequest, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Creates a completion for the provided prompt and parameters - * @param {CreateCompletionRequest} createCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createCompletion(createCompletionRequest: CreateCompletionRequest, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createCompletion(createCompletionRequest, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Creates a new edit for the provided input, instruction, and parameters - * @param {CreateEditRequest} createEditRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createEdit(createEditRequest: CreateEditRequest, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createEdit(createEditRequest, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Creates an embedding vector representing the input text. - * @param {CreateEmbeddingRequest} createEmbeddingRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createEmbedding(createEmbeddingRequest: CreateEmbeddingRequest, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createEmbedding(createEmbeddingRequest, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit. - * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded. If the `purpose` is set to \\\"fine-tune\\\", each line is a JSON record with \\\"prompt\\\" and \\\"completion\\\" fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data). - * @param {string} purpose The intended purpose of the uploaded documents. Use \\\"fine-tune\\\" for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createFile(file: File, purpose: string, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createFile(file, purpose, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {CreateFineTuneRequest} createFineTuneRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createFineTune(createFineTuneRequest: CreateFineTuneRequest, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createFineTune(createFineTuneRequest, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Creates an image given a prompt. - * @param {CreateImageRequest} createImageRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createImage(createImageRequest: CreateImageRequest, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createImage(createImageRequest, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Creates an edited or extended image given an original image and a prompt. - * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. - * @param {File} mask An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. - * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createImageEdit(image: File, mask: File, prompt: string, n?: number, size?: string, responseFormat?: string, user?: string, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createImageEdit(image, mask, prompt, n, size, responseFormat, user, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Creates a variation of a given image. - * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createImageVariation(image: File, n?: number, size?: string, responseFormat?: string, user?: string, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createImageVariation(image, n, size, responseFormat, user, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Classifies if text violates OpenAI\'s Content Policy - * @param {CreateModerationRequest} createModerationRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createModeration(createModerationRequest: CreateModerationRequest, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createModeration(createModerationRequest, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them. To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores. The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query. - * @param {string} engineId The ID of the engine to use for this request. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @param {CreateSearchRequest} createSearchRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public createSearch(engineId: string, createSearchRequest: CreateSearchRequest, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).createSearch(engineId, createSearchRequest, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Delete a file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public deleteFile(fileId: string, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).deleteFile(fileId, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Delete a fine-tuned model. You must have the Owner role in your organization. - * @param {string} model The model to delete - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public deleteModel(model: string, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).deleteModel(model, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Returns the contents of the specified file - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public downloadFile(fileId: string, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).downloadFile(fileId, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public listEngines(options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).listEngines(options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Returns a list of files that belong to the user\'s organization. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public listFiles(options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).listFiles(options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Get fine-grained status updates for a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to get events for. - * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a `data: [DONE]` message when the job is finished (succeeded, cancelled, or failed). If set to false, only events generated so far will be returned. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public listFineTuneEvents(fineTuneId: string, stream?: boolean, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).listFineTuneEvents(fineTuneId, stream, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary List your organization\'s fine-tuning jobs - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public listFineTunes(options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).listFineTunes(options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public listModels(options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).listModels(options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Retrieves a model instance, providing basic information about it such as the owner and availability. - * @param {string} engineId The ID of the engine to use for this request - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public retrieveEngine(engineId: string, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).retrieveEngine(engineId, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Returns information about a specific file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public retrieveFile(fileId: string, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).retrieveFile(fileId, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Gets info about the fine-tune job. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {string} fineTuneId The ID of the fine-tune job - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public retrieveFineTune(fineTuneId: string, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).retrieveFineTune(fineTuneId, options).then((request) => request(this.axios, this.basePath)); - } - - /** - * - * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - * @param {string} model The ID of the model to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - public retrieveModel(model: string, options?: AxiosRequestConfig) { - return OpenAIApiFp(this.configuration).retrieveModel(model, options).then((request) => request(this.axios, this.basePath)); - } -} - - diff --git a/azure.md b/azure.md new file mode 100644 index 000000000..df06c2985 --- /dev/null +++ b/azure.md @@ -0,0 +1,49 @@ +# Microsoft Azure OpenAI + +To use this library with [Azure OpenAI](https://learn.microsoft.com/azure/ai-services/openai/overview), use the `AzureOpenAI` +class instead of the `OpenAI` class. + +> [!IMPORTANT] +> The Azure API shape slightly differs from the core API shape which means that the static types for responses / params +> won't always be correct. + +```ts +import { AzureOpenAI } from 'openai'; +import { getBearerTokenProvider, DefaultAzureCredential } from '@azure/identity'; + +const credential = new DefaultAzureCredential(); +const scope = 'https://cognitiveservices.azure.com/.default'; +const azureADTokenProvider = getBearerTokenProvider(credential, scope); + +const openai = new AzureOpenAI({ azureADTokenProvider, apiVersion: "" }); + +const result = await openai.chat.completions.create({ + model: 'gpt-4o', + messages: [{ role: 'user', content: 'Say hello!' }], +}); + +console.log(result.choices[0]!.message?.content); +``` + +For more information on support for the Azure API, see [azure.md](azure.md). + +## Realtime API + +This SDK provides real-time streaming capabilities for Azure OpenAI through the `OpenAIRealtimeWS` and `OpenAIRealtimeWebSocket` clients described previously. + +To utilize the real-time features, begin by creating a fully configured `AzureOpenAI` client and passing it into either `OpenAIRealtimeWS.azure` or `OpenAIRealtimeWebSocket.azure`. For example: + +```ts +const cred = new DefaultAzureCredential(); +const scope = 'https://cognitiveservices.azure.com/.default'; +const deploymentName = 'gpt-4o-realtime-preview-1001'; +const azureADTokenProvider = getBearerTokenProvider(cred, scope); +const client = new AzureOpenAI({ + azureADTokenProvider, + apiVersion: '2024-10-01-preview', + deployment: deploymentName, +}); +const rt = await OpenAIRealtimeWS.azure(client); +``` + +Once the instance has been created, you can then begin sending requests and receiving streaming responses in real time. diff --git a/base.ts b/base.ts deleted file mode 100644 index 231329cf5..000000000 --- a/base.ts +++ /dev/null @@ -1,71 +0,0 @@ -/* tslint:disable */ -/* eslint-disable */ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.1.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ - - -import { Configuration } from "./configuration"; -// Some imports not used depending on template conditions -// @ts-ignore -import globalAxios, { AxiosPromise, AxiosInstance, AxiosRequestConfig } from 'axios'; - -export const BASE_PATH = "https://api.openai.com/v1".replace(/\/+$/, ""); - -/** - * - * @export - */ -export const COLLECTION_FORMATS = { - csv: ",", - ssv: " ", - tsv: "\t", - pipes: "|", -}; - -/** - * - * @export - * @interface RequestArgs - */ -export interface RequestArgs { - url: string; - options: AxiosRequestConfig; -} - -/** - * - * @export - * @class BaseAPI - */ -export class BaseAPI { - protected configuration: Configuration | undefined; - - constructor(configuration?: Configuration, protected basePath: string = BASE_PATH, protected axios: AxiosInstance = globalAxios) { - if (configuration) { - this.configuration = configuration; - this.basePath = configuration.basePath || this.basePath; - } - } -}; - -/** - * - * @export - * @class RequiredError - * @extends {Error} - */ -export class RequiredError extends Error { - name: "RequiredError" = "RequiredError"; - constructor(public field: string, msg?: string) { - super(msg); - } -} diff --git a/bin/check-release-environment b/bin/check-release-environment new file mode 100644 index 000000000..e51564b7d --- /dev/null +++ b/bin/check-release-environment @@ -0,0 +1,22 @@ +#!/usr/bin/env bash + +errors=() + +if [ -z "${NPM_TOKEN}" ]; then + errors+=("The OPENAI_NPM_TOKEN secret has not been set. Please set it in either this repository's secrets or your organization secrets") +fi + +lenErrors=${#errors[@]} + +if [[ lenErrors -gt 0 ]]; then + echo -e "Found the following errors in the release environment:\n" + + for error in "${errors[@]}"; do + echo -e "- $error\n" + done + + exit 1 +fi + +echo "The environment is ready to push releases!" + diff --git a/bin/cli b/bin/cli new file mode 100755 index 000000000..00275ace4 --- /dev/null +++ b/bin/cli @@ -0,0 +1,49 @@ +#!/usr/bin/env node + +const { spawnSync } = require('child_process'); + +const commands = { + migrate: { + description: 'Run migrations to update from openai v3 to v4', + fn: () => { + console.log('This automatic code migration is provided by grit.io'); + console.log('Visit https://app.grit.io/studio?preset=openai_v4 for more details.') + + const result = spawnSync( + 'npx', + ['-y', '@getgrit/launcher', 'apply', 'openai_v4', ...process.argv.slice(3)], + { stdio: 'inherit' }, + ); + if (result.status !== 0) { + process.exit(result.status); + } + } + } +} + +function exitWithHelp() { + console.log("Usage: $0 "); + console.log(); + console.log('Subcommands:'); + + for (const [name, info] of Object.entries(commands)) { + console.log(` ${name} ${info.description}`); + } + + console.log(); + process.exit(1); +} + +if (process.argv.length < 3) { + exitWithHelp(); +} + +const commandName = process.argv[2]; + +const command = commands[commandName]; +if (!command) { + console.log(`Unknown subcommand ${commandName}.`); + exitWithHelp(); +} + +command.fn(); diff --git a/bin/publish-jsr b/bin/publish-jsr new file mode 100644 index 000000000..1b7365087 --- /dev/null +++ b/bin/publish-jsr @@ -0,0 +1,11 @@ +#!/usr/bin/env bash + +set -eux + +# Build the project +yarn build + +# Navigate to the dist directory +cd dist-deno + +npx jsr publish ${JSR_TOKEN:+"--token=$JSR_TOKEN"} diff --git a/bin/publish-npm b/bin/publish-npm new file mode 100644 index 000000000..4c21181bb --- /dev/null +++ b/bin/publish-npm @@ -0,0 +1,25 @@ +#!/usr/bin/env bash + +set -eux + +npm config set '//registry.npmjs.org/:_authToken' "$NPM_TOKEN" + +# Build the project +yarn build + +# Navigate to the dist directory +cd dist + +# Get the version from package.json +VERSION="$(node -p "require('./package.json').version")" + +# Extract the pre-release tag if it exists +if [[ "$VERSION" =~ -([a-zA-Z]+) ]]; then + # Extract the part before any dot in the pre-release identifier + TAG="${BASH_REMATCH[1]}" +else + TAG="latest" +fi + +# Publish with the appropriate tag +yarn publish --access public --tag "$TAG" diff --git a/common.ts b/common.ts deleted file mode 100644 index 3bc7c137d..000000000 --- a/common.ts +++ /dev/null @@ -1,148 +0,0 @@ -/* tslint:disable */ -/* eslint-disable */ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.1.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ - - -import { Configuration } from "./configuration"; -import { RequiredError, RequestArgs } from "./base"; -import { AxiosInstance, AxiosResponse } from 'axios'; - -/** - * - * @export - */ -export const DUMMY_BASE_URL = 'https://example.com/' - -/** - * - * @throws {RequiredError} - * @export - */ -export const assertParamExists = function (functionName: string, paramName: string, paramValue: unknown) { - if (paramValue === null || paramValue === undefined) { - throw new RequiredError(paramName, `Required parameter ${paramName} was null or undefined when calling ${functionName}.`); - } -} - -/** - * - * @export - */ -export const setApiKeyToObject = async function (object: any, keyParamName: string, configuration?: Configuration) { - if (configuration && configuration.apiKey) { - const localVarApiKeyValue = typeof configuration.apiKey === 'function' - ? await configuration.apiKey(keyParamName) - : await configuration.apiKey; - object[keyParamName] = localVarApiKeyValue; - } -} - -/** - * - * @export - */ -export const setBasicAuthToObject = function (object: any, configuration?: Configuration) { - if (configuration && (configuration.username || configuration.password)) { - object["auth"] = { username: configuration.username, password: configuration.password }; - } -} - -/** - * - * @export - */ -export const setBearerAuthToObject = async function (object: any, configuration?: Configuration) { - if (configuration && configuration.accessToken) { - const accessToken = typeof configuration.accessToken === 'function' - ? await configuration.accessToken() - : await configuration.accessToken; - object["Authorization"] = "Bearer " + accessToken; - } -} - -/** - * - * @export - */ -export const setOAuthToObject = async function (object: any, name: string, scopes: string[], configuration?: Configuration) { - if (configuration && configuration.accessToken) { - const localVarAccessTokenValue = typeof configuration.accessToken === 'function' - ? await configuration.accessToken(name, scopes) - : await configuration.accessToken; - object["Authorization"] = "Bearer " + localVarAccessTokenValue; - } -} - -function setFlattenedQueryParams(urlSearchParams: URLSearchParams, parameter: any, key: string = ""): void { - if (typeof parameter === "object") { - if (Array.isArray(parameter)) { - (parameter as any[]).forEach(item => setFlattenedQueryParams(urlSearchParams, item, key)); - } - else { - Object.keys(parameter).forEach(currentKey => - setFlattenedQueryParams(urlSearchParams, parameter[currentKey], `${key}${key !== '' ? '.' : ''}${currentKey}`) - ); - } - } - else { - if (urlSearchParams.has(key)) { - urlSearchParams.append(key, parameter); - } - else { - urlSearchParams.set(key, parameter); - } - } -} - -/** - * - * @export - */ -export const setSearchParams = function (url: URL, ...objects: any[]) { - const searchParams = new URLSearchParams(url.search); - setFlattenedQueryParams(searchParams, objects); - url.search = searchParams.toString(); -} - -/** - * - * @export - */ -export const serializeDataIfNeeded = function (value: any, requestOptions: any, configuration?: Configuration) { - const nonString = typeof value !== 'string'; - const needsSerialization = nonString && configuration && configuration.isJsonMime - ? configuration.isJsonMime(requestOptions.headers['Content-Type']) - : nonString; - return needsSerialization - ? JSON.stringify(value !== undefined ? value : {}) - : (value || ""); -} - -/** - * - * @export - */ -export const toPathString = function (url: URL) { - return url.pathname + url.search + url.hash -} - -/** - * - * @export - */ -export const createRequestFunction = function (axiosArgs: RequestArgs, globalAxios: AxiosInstance, BASE_PATH: string, configuration?: Configuration) { - return >(axios: AxiosInstance = globalAxios, basePath: string = BASE_PATH) => { - const axiosRequestArgs = {...axiosArgs.options, url: (configuration?.basePath || basePath) + axiosArgs.url}; - return axios.request(axiosRequestArgs); - }; -} diff --git a/configuration.ts b/configuration.ts deleted file mode 100644 index b89924749..000000000 --- a/configuration.ts +++ /dev/null @@ -1,127 +0,0 @@ -/* tslint:disable */ -/* eslint-disable */ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.1.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ - - -const packageJson = require("../package.json"); - -export interface ConfigurationParameters { - apiKey?: string | Promise | ((name: string) => string) | ((name: string) => Promise); - organization?: string; - username?: string; - password?: string; - accessToken?: string | Promise | ((name?: string, scopes?: string[]) => string) | ((name?: string, scopes?: string[]) => Promise); - basePath?: string; - baseOptions?: any; - formDataCtor?: new () => any; -} - -export class Configuration { - /** - * parameter for apiKey security - * @param name security name - * @memberof Configuration - */ - apiKey?: string | Promise | ((name: string) => string) | ((name: string) => Promise); - /** - * OpenAI organization id - * - * @type {string} - * @memberof Configuration - */ - organization?: string; - /** - * parameter for basic security - * - * @type {string} - * @memberof Configuration - */ - username?: string; - /** - * parameter for basic security - * - * @type {string} - * @memberof Configuration - */ - password?: string; - /** - * parameter for oauth2 security - * @param name security name - * @param scopes oauth2 scope - * @memberof Configuration - */ - accessToken?: string | Promise | ((name?: string, scopes?: string[]) => string) | ((name?: string, scopes?: string[]) => Promise); - /** - * override base path - * - * @type {string} - * @memberof Configuration - */ - basePath?: string; - /** - * base options for axios calls - * - * @type {any} - * @memberof Configuration - */ - baseOptions?: any; - /** - * The FormData constructor that will be used to create multipart form data - * requests. You can inject this here so that execution environments that - * do not support the FormData class can still run the generated client. - * - * @type {new () => FormData} - */ - formDataCtor?: new () => any; - - constructor(param: ConfigurationParameters = {}) { - this.apiKey = param.apiKey; - this.organization = param.organization; - this.username = param.username; - this.password = param.password; - this.accessToken = param.accessToken; - this.basePath = param.basePath; - this.baseOptions = param.baseOptions; - this.formDataCtor = param.formDataCtor; - - if (!this.baseOptions) { - this.baseOptions = {}; - } - this.baseOptions.headers = { - 'User-Agent': `OpenAI/NodeJS/${packageJson.version}`, - 'Authorization': `Bearer ${this.apiKey}`, - ...this.baseOptions.headers, - } - if (this.organization) { - this.baseOptions.headers['OpenAI-Organization'] = this.organization; - } - if (!this.formDataCtor) { - this.formDataCtor = require("form-data"); - } - } - - /** - * Check if the given MIME is a JSON MIME. - * JSON MIME examples: - * application/json - * application/json; charset=UTF8 - * APPLICATION/JSON - * application/vnd.company+json - * @param mime - MIME (Multipurpose Internet Mail Extensions) - * @return True if the given MIME is JSON, false otherwise. - */ - public isJsonMime(mime: string): boolean { - const jsonMime: RegExp = new RegExp('^(application\/json|[^;/ \t]+\/[^;/ \t]+[+]json)[ \t]*(;.*)?$', 'i'); - return mime !== null && (jsonMime.test(mime) || mime.toLowerCase() === 'application/json-patch+json'); - } -} \ No newline at end of file diff --git a/dist/api.d.ts b/dist/api.d.ts deleted file mode 100644 index 0e589cfa6..000000000 --- a/dist/api.d.ts +++ /dev/null @@ -1,2509 +0,0 @@ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.1.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ -import { Configuration } from './configuration'; -import { AxiosPromise, AxiosInstance, AxiosRequestConfig } from 'axios'; -import { RequestArgs, BaseAPI } from './base'; -/** - * - * @export - * @interface CreateAnswerRequest - */ -export interface CreateAnswerRequest { - /** - * ID of the model to use for completion. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @type {string} - * @memberof CreateAnswerRequest - */ - 'model': string; - /** - * Question to get answered. - * @type {string} - * @memberof CreateAnswerRequest - */ - 'question': string; - /** - * List of (question, answer) pairs that will help steer the model towards the tone and answer format you\'d like. We recommend adding 2 to 3 examples. - * @type {Array} - * @memberof CreateAnswerRequest - */ - 'examples': Array; - /** - * A text snippet containing the contextual information used to generate the answers for the `examples` you provide. - * @type {string} - * @memberof CreateAnswerRequest - */ - 'examples_context': string; - /** - * List of documents from which the answer for the input `question` should be derived. If this is an empty list, the question will be answered based on the question-answer examples. You should specify either `documents` or a `file`, but not both. - * @type {Array} - * @memberof CreateAnswerRequest - */ - 'documents'?: Array | null; - /** - * The ID of an uploaded file that contains documents to search over. See [upload file](/docs/api-reference/files/upload) for how to upload a file of the desired format and purpose. You should specify either `documents` or a `file`, but not both. - * @type {string} - * @memberof CreateAnswerRequest - */ - 'file'?: string | null; - /** - * ID of the model to use for [Search](/docs/api-reference/searches/create). You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @type {string} - * @memberof CreateAnswerRequest - */ - 'search_model'?: string | null; - /** - * The maximum number of documents to be ranked by [Search](/docs/api-reference/searches/create) when using `file`. Setting it to a higher value leads to improved accuracy but with increased latency and cost. - * @type {number} - * @memberof CreateAnswerRequest - */ - 'max_rerank'?: number | null; - /** - * What [sampling temperature](https://towardsdatascience.com/how-to-sample-from-language-models-682bceb97277) to use. Higher values mean the model will take more risks and value 0 (argmax sampling) works better for scenarios with a well-defined answer. - * @type {number} - * @memberof CreateAnswerRequest - */ - 'temperature'?: number | null; - /** - * Include the log probabilities on the `logprobs` most likely tokens, as well the chosen tokens. For example, if `logprobs` is 5, the API will return a list of the 5 most likely tokens. The API will always return the `logprob` of the sampled token, so there may be up to `logprobs+1` elements in the response. The maximum value for `logprobs` is 5. If you need more than this, please contact us through our [Help center](https://help.openai.com) and describe your use case. When `logprobs` is set, `completion` will be automatically added into `expand` to get the logprobs. - * @type {number} - * @memberof CreateAnswerRequest - */ - 'logprobs'?: number | null; - /** - * The maximum number of tokens allowed for the generated answer - * @type {number} - * @memberof CreateAnswerRequest - */ - 'max_tokens'?: number | null; - /** - * - * @type {CreateAnswerRequestStop} - * @memberof CreateAnswerRequest - */ - 'stop'?: CreateAnswerRequestStop | null; - /** - * How many answers to generate for each question. - * @type {number} - * @memberof CreateAnswerRequest - */ - 'n'?: number | null; - /** - * Modify the likelihood of specified tokens appearing in the completion. Accepts a json object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](/tokenizer?view=bpe) (which works for both GPT-2 and GPT-3) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token. As an example, you can pass `{\"50256\": -100}` to prevent the <|endoftext|> token from being generated. - * @type {object} - * @memberof CreateAnswerRequest - */ - 'logit_bias'?: object | null; - /** - * A special boolean flag for showing metadata. If set to `true`, each document entry in the returned JSON will contain a \"metadata\" field. This flag only takes effect when `file` is set. - * @type {boolean} - * @memberof CreateAnswerRequest - */ - 'return_metadata'?: boolean | null; - /** - * If set to `true`, the returned JSON will include a \"prompt\" field containing the final prompt that was used to request a completion. This is mainly useful for debugging purposes. - * @type {boolean} - * @memberof CreateAnswerRequest - */ - 'return_prompt'?: boolean | null; - /** - * If an object name is in the list, we provide the full information of the object; otherwise, we only provide the object ID. Currently we support `completion` and `file` objects for expansion. - * @type {Array} - * @memberof CreateAnswerRequest - */ - 'expand'?: Array | null; - /** - * A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @type {string} - * @memberof CreateAnswerRequest - */ - 'user'?: string; -} -/** - * @type CreateAnswerRequestStop - * Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence. - * @export - */ -export declare type CreateAnswerRequestStop = Array | string; -/** - * - * @export - * @interface CreateAnswerResponse - */ -export interface CreateAnswerResponse { - /** - * - * @type {string} - * @memberof CreateAnswerResponse - */ - 'object'?: string; - /** - * - * @type {string} - * @memberof CreateAnswerResponse - */ - 'model'?: string; - /** - * - * @type {string} - * @memberof CreateAnswerResponse - */ - 'search_model'?: string; - /** - * - * @type {string} - * @memberof CreateAnswerResponse - */ - 'completion'?: string; - /** - * - * @type {Array} - * @memberof CreateAnswerResponse - */ - 'answers'?: Array; - /** - * - * @type {Array} - * @memberof CreateAnswerResponse - */ - 'selected_documents'?: Array; -} -/** - * - * @export - * @interface CreateAnswerResponseSelectedDocumentsInner - */ -export interface CreateAnswerResponseSelectedDocumentsInner { - /** - * - * @type {number} - * @memberof CreateAnswerResponseSelectedDocumentsInner - */ - 'document'?: number; - /** - * - * @type {string} - * @memberof CreateAnswerResponseSelectedDocumentsInner - */ - 'text'?: string; -} -/** - * - * @export - * @interface CreateClassificationRequest - */ -export interface CreateClassificationRequest { - /** - * ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them. - * @type {string} - * @memberof CreateClassificationRequest - */ - 'model': string; - /** - * Query to be classified. - * @type {string} - * @memberof CreateClassificationRequest - */ - 'query': string; - /** - * A list of examples with labels, in the following format: `[[\"The movie is so interesting.\", \"Positive\"], [\"It is quite boring.\", \"Negative\"], ...]` All the label strings will be normalized to be capitalized. You should specify either `examples` or `file`, but not both. - * @type {Array} - * @memberof CreateClassificationRequest - */ - 'examples'?: Array | null; - /** - * The ID of the uploaded file that contains training examples. See [upload file](/docs/api-reference/files/upload) for how to upload a file of the desired format and purpose. You should specify either `examples` or `file`, but not both. - * @type {string} - * @memberof CreateClassificationRequest - */ - 'file'?: string | null; - /** - * The set of categories being classified. If not specified, candidate labels will be automatically collected from the examples you provide. All the label strings will be normalized to be capitalized. - * @type {Array} - * @memberof CreateClassificationRequest - */ - 'labels'?: Array | null; - /** - * ID of the model to use for [Search](/docs/api-reference/searches/create). You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @type {string} - * @memberof CreateClassificationRequest - */ - 'search_model'?: string | null; - /** - * What sampling `temperature` to use. Higher values mean the model will take more risks. Try 0.9 for more creative applications, and 0 (argmax sampling) for ones with a well-defined answer. - * @type {number} - * @memberof CreateClassificationRequest - */ - 'temperature'?: number | null; - /** - * Include the log probabilities on the `logprobs` most likely tokens, as well the chosen tokens. For example, if `logprobs` is 5, the API will return a list of the 5 most likely tokens. The API will always return the `logprob` of the sampled token, so there may be up to `logprobs+1` elements in the response. The maximum value for `logprobs` is 5. If you need more than this, please contact us through our [Help center](https://help.openai.com) and describe your use case. When `logprobs` is set, `completion` will be automatically added into `expand` to get the logprobs. - * @type {number} - * @memberof CreateClassificationRequest - */ - 'logprobs'?: number | null; - /** - * The maximum number of examples to be ranked by [Search](/docs/api-reference/searches/create) when using `file`. Setting it to a higher value leads to improved accuracy but with increased latency and cost. - * @type {number} - * @memberof CreateClassificationRequest - */ - 'max_examples'?: number | null; - /** - * Modify the likelihood of specified tokens appearing in the completion. Accepts a json object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](/tokenizer?view=bpe) (which works for both GPT-2 and GPT-3) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token. As an example, you can pass `{\"50256\": -100}` to prevent the <|endoftext|> token from being generated. - * @type {object} - * @memberof CreateClassificationRequest - */ - 'logit_bias'?: object | null; - /** - * If set to `true`, the returned JSON will include a \"prompt\" field containing the final prompt that was used to request a completion. This is mainly useful for debugging purposes. - * @type {boolean} - * @memberof CreateClassificationRequest - */ - 'return_prompt'?: boolean | null; - /** - * A special boolean flag for showing metadata. If set to `true`, each document entry in the returned JSON will contain a \"metadata\" field. This flag only takes effect when `file` is set. - * @type {boolean} - * @memberof CreateClassificationRequest - */ - 'return_metadata'?: boolean | null; - /** - * If an object name is in the list, we provide the full information of the object; otherwise, we only provide the object ID. Currently we support `completion` and `file` objects for expansion. - * @type {Array} - * @memberof CreateClassificationRequest - */ - 'expand'?: Array | null; - /** - * A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @type {string} - * @memberof CreateClassificationRequest - */ - 'user'?: string; -} -/** - * - * @export - * @interface CreateClassificationResponse - */ -export interface CreateClassificationResponse { - /** - * - * @type {string} - * @memberof CreateClassificationResponse - */ - 'object'?: string; - /** - * - * @type {string} - * @memberof CreateClassificationResponse - */ - 'model'?: string; - /** - * - * @type {string} - * @memberof CreateClassificationResponse - */ - 'search_model'?: string; - /** - * - * @type {string} - * @memberof CreateClassificationResponse - */ - 'completion'?: string; - /** - * - * @type {string} - * @memberof CreateClassificationResponse - */ - 'label'?: string; - /** - * - * @type {Array} - * @memberof CreateClassificationResponse - */ - 'selected_examples'?: Array; -} -/** - * - * @export - * @interface CreateClassificationResponseSelectedExamplesInner - */ -export interface CreateClassificationResponseSelectedExamplesInner { - /** - * - * @type {number} - * @memberof CreateClassificationResponseSelectedExamplesInner - */ - 'document'?: number; - /** - * - * @type {string} - * @memberof CreateClassificationResponseSelectedExamplesInner - */ - 'text'?: string; - /** - * - * @type {string} - * @memberof CreateClassificationResponseSelectedExamplesInner - */ - 'label'?: string; -} -/** - * - * @export - * @interface CreateCompletionRequest - */ -export interface CreateCompletionRequest { - /** - * ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them. - * @type {string} - * @memberof CreateCompletionRequest - */ - 'model': string; - /** - * - * @type {CreateCompletionRequestPrompt} - * @memberof CreateCompletionRequest - */ - 'prompt'?: CreateCompletionRequestPrompt | null; - /** - * The suffix that comes after a completion of inserted text. - * @type {string} - * @memberof CreateCompletionRequest - */ - 'suffix'?: string | null; - /** - * The maximum number of [tokens](/tokenizer) to generate in the completion. The token count of your prompt plus `max_tokens` cannot exceed the model\'s context length. Most models have a context length of 2048 tokens (except for the newest models, which support 4096). - * @type {number} - * @memberof CreateCompletionRequest - */ - 'max_tokens'?: number | null; - /** - * What [sampling temperature](https://towardsdatascience.com/how-to-sample-from-language-models-682bceb97277) to use. Higher values means the model will take more risks. Try 0.9 for more creative applications, and 0 (argmax sampling) for ones with a well-defined answer. We generally recommend altering this or `top_p` but not both. - * @type {number} - * @memberof CreateCompletionRequest - */ - 'temperature'?: number | null; - /** - * An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or `temperature` but not both. - * @type {number} - * @memberof CreateCompletionRequest - */ - 'top_p'?: number | null; - /** - * How many completions to generate for each prompt. **Note:** Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for `max_tokens` and `stop`. - * @type {number} - * @memberof CreateCompletionRequest - */ - 'n'?: number | null; - /** - * Whether to stream back partial progress. If set, tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available, with the stream terminated by a `data: [DONE]` message. - * @type {boolean} - * @memberof CreateCompletionRequest - */ - 'stream'?: boolean | null; - /** - * Include the log probabilities on the `logprobs` most likely tokens, as well the chosen tokens. For example, if `logprobs` is 5, the API will return a list of the 5 most likely tokens. The API will always return the `logprob` of the sampled token, so there may be up to `logprobs+1` elements in the response. The maximum value for `logprobs` is 5. If you need more than this, please contact us through our [Help center](https://help.openai.com) and describe your use case. - * @type {number} - * @memberof CreateCompletionRequest - */ - 'logprobs'?: number | null; - /** - * Echo back the prompt in addition to the completion - * @type {boolean} - * @memberof CreateCompletionRequest - */ - 'echo'?: boolean | null; - /** - * - * @type {CreateCompletionRequestStop} - * @memberof CreateCompletionRequest - */ - 'stop'?: CreateCompletionRequestStop | null; - /** - * Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model\'s likelihood to talk about new topics. [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details) - * @type {number} - * @memberof CreateCompletionRequest - */ - 'presence_penalty'?: number | null; - /** - * Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model\'s likelihood to repeat the same line verbatim. [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details) - * @type {number} - * @memberof CreateCompletionRequest - */ - 'frequency_penalty'?: number | null; - /** - * Generates `best_of` completions server-side and returns the \"best\" (the one with the highest log probability per token). Results cannot be streamed. When used with `n`, `best_of` controls the number of candidate completions and `n` specifies how many to return – `best_of` must be greater than `n`. **Note:** Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for `max_tokens` and `stop`. - * @type {number} - * @memberof CreateCompletionRequest - */ - 'best_of'?: number | null; - /** - * Modify the likelihood of specified tokens appearing in the completion. Accepts a json object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](/tokenizer?view=bpe) (which works for both GPT-2 and GPT-3) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token. As an example, you can pass `{\"50256\": -100}` to prevent the <|endoftext|> token from being generated. - * @type {object} - * @memberof CreateCompletionRequest - */ - 'logit_bias'?: object | null; - /** - * A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @type {string} - * @memberof CreateCompletionRequest - */ - 'user'?: string; -} -/** - * @type CreateCompletionRequestPrompt - * The prompt(s) to generate completions for, encoded as a string, array of strings, array of tokens, or array of token arrays. Note that <|endoftext|> is the document separator that the model sees during training, so if a prompt is not specified the model will generate as if from the beginning of a new document. - * @export - */ -export declare type CreateCompletionRequestPrompt = Array | Array | Array | string; -/** - * @type CreateCompletionRequestStop - * Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence. - * @export - */ -export declare type CreateCompletionRequestStop = Array | string; -/** - * - * @export - * @interface CreateCompletionResponse - */ -export interface CreateCompletionResponse { - /** - * - * @type {string} - * @memberof CreateCompletionResponse - */ - 'id': string; - /** - * - * @type {string} - * @memberof CreateCompletionResponse - */ - 'object': string; - /** - * - * @type {number} - * @memberof CreateCompletionResponse - */ - 'created': number; - /** - * - * @type {string} - * @memberof CreateCompletionResponse - */ - 'model': string; - /** - * - * @type {Array} - * @memberof CreateCompletionResponse - */ - 'choices': Array; - /** - * - * @type {CreateCompletionResponseUsage} - * @memberof CreateCompletionResponse - */ - 'usage'?: CreateCompletionResponseUsage; -} -/** - * - * @export - * @interface CreateCompletionResponseChoicesInner - */ -export interface CreateCompletionResponseChoicesInner { - /** - * - * @type {string} - * @memberof CreateCompletionResponseChoicesInner - */ - 'text'?: string; - /** - * - * @type {number} - * @memberof CreateCompletionResponseChoicesInner - */ - 'index'?: number; - /** - * - * @type {CreateCompletionResponseChoicesInnerLogprobs} - * @memberof CreateCompletionResponseChoicesInner - */ - 'logprobs'?: CreateCompletionResponseChoicesInnerLogprobs | null; - /** - * - * @type {string} - * @memberof CreateCompletionResponseChoicesInner - */ - 'finish_reason'?: string; -} -/** - * - * @export - * @interface CreateCompletionResponseChoicesInnerLogprobs - */ -export interface CreateCompletionResponseChoicesInnerLogprobs { - /** - * - * @type {Array} - * @memberof CreateCompletionResponseChoicesInnerLogprobs - */ - 'tokens'?: Array; - /** - * - * @type {Array} - * @memberof CreateCompletionResponseChoicesInnerLogprobs - */ - 'token_logprobs'?: Array; - /** - * - * @type {Array} - * @memberof CreateCompletionResponseChoicesInnerLogprobs - */ - 'top_logprobs'?: Array; - /** - * - * @type {Array} - * @memberof CreateCompletionResponseChoicesInnerLogprobs - */ - 'text_offset'?: Array; -} -/** - * - * @export - * @interface CreateCompletionResponseUsage - */ -export interface CreateCompletionResponseUsage { - /** - * - * @type {number} - * @memberof CreateCompletionResponseUsage - */ - 'prompt_tokens': number; - /** - * - * @type {number} - * @memberof CreateCompletionResponseUsage - */ - 'completion_tokens': number; - /** - * - * @type {number} - * @memberof CreateCompletionResponseUsage - */ - 'total_tokens': number; -} -/** - * - * @export - * @interface CreateEditRequest - */ -export interface CreateEditRequest { - /** - * ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them. - * @type {string} - * @memberof CreateEditRequest - */ - 'model': string; - /** - * The input text to use as a starting point for the edit. - * @type {string} - * @memberof CreateEditRequest - */ - 'input'?: string | null; - /** - * The instruction that tells the model how to edit the prompt. - * @type {string} - * @memberof CreateEditRequest - */ - 'instruction': string; - /** - * How many edits to generate for the input and instruction. - * @type {number} - * @memberof CreateEditRequest - */ - 'n'?: number | null; - /** - * What [sampling temperature](https://towardsdatascience.com/how-to-sample-from-language-models-682bceb97277) to use. Higher values means the model will take more risks. Try 0.9 for more creative applications, and 0 (argmax sampling) for ones with a well-defined answer. We generally recommend altering this or `top_p` but not both. - * @type {number} - * @memberof CreateEditRequest - */ - 'temperature'?: number | null; - /** - * An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or `temperature` but not both. - * @type {number} - * @memberof CreateEditRequest - */ - 'top_p'?: number | null; -} -/** - * - * @export - * @interface CreateEditResponse - */ -export interface CreateEditResponse { - /** - * - * @type {string} - * @memberof CreateEditResponse - */ - 'id': string; - /** - * - * @type {string} - * @memberof CreateEditResponse - */ - 'object': string; - /** - * - * @type {number} - * @memberof CreateEditResponse - */ - 'created': number; - /** - * - * @type {string} - * @memberof CreateEditResponse - */ - 'model': string; - /** - * - * @type {Array} - * @memberof CreateEditResponse - */ - 'choices': Array; - /** - * - * @type {CreateCompletionResponseUsage} - * @memberof CreateEditResponse - */ - 'usage': CreateCompletionResponseUsage; -} -/** - * - * @export - * @interface CreateEmbeddingRequest - */ -export interface CreateEmbeddingRequest { - /** - * ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them. - * @type {string} - * @memberof CreateEmbeddingRequest - */ - 'model': string; - /** - * - * @type {CreateEmbeddingRequestInput} - * @memberof CreateEmbeddingRequest - */ - 'input': CreateEmbeddingRequestInput; - /** - * A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @type {string} - * @memberof CreateEmbeddingRequest - */ - 'user'?: string; -} -/** - * @type CreateEmbeddingRequestInput - * Input text to get embeddings for, encoded as a string or array of tokens. To get embeddings for multiple inputs in a single request, pass an array of strings or array of token arrays. Each input must not exceed 2048 tokens in length. Unless you are embedding code, we suggest replacing newlines (`\\n`) in your input with a single space, as we have observed inferior results when newlines are present. - * @export - */ -export declare type CreateEmbeddingRequestInput = Array | Array | Array | string; -/** - * - * @export - * @interface CreateEmbeddingResponse - */ -export interface CreateEmbeddingResponse { - /** - * - * @type {string} - * @memberof CreateEmbeddingResponse - */ - 'object': string; - /** - * - * @type {string} - * @memberof CreateEmbeddingResponse - */ - 'model': string; - /** - * - * @type {Array} - * @memberof CreateEmbeddingResponse - */ - 'data': Array; - /** - * - * @type {CreateEmbeddingResponseUsage} - * @memberof CreateEmbeddingResponse - */ - 'usage': CreateEmbeddingResponseUsage; -} -/** - * - * @export - * @interface CreateEmbeddingResponseDataInner - */ -export interface CreateEmbeddingResponseDataInner { - /** - * - * @type {number} - * @memberof CreateEmbeddingResponseDataInner - */ - 'index': number; - /** - * - * @type {string} - * @memberof CreateEmbeddingResponseDataInner - */ - 'object': string; - /** - * - * @type {Array} - * @memberof CreateEmbeddingResponseDataInner - */ - 'embedding': Array; -} -/** - * - * @export - * @interface CreateEmbeddingResponseUsage - */ -export interface CreateEmbeddingResponseUsage { - /** - * - * @type {number} - * @memberof CreateEmbeddingResponseUsage - */ - 'prompt_tokens': number; - /** - * - * @type {number} - * @memberof CreateEmbeddingResponseUsage - */ - 'total_tokens': number; -} -/** - * - * @export - * @interface CreateFineTuneRequest - */ -export interface CreateFineTuneRequest { - /** - * The ID of an uploaded file that contains training data. See [upload file](/docs/api-reference/files/upload) for how to upload a file. Your dataset must be formatted as a JSONL file, where each training example is a JSON object with the keys \"prompt\" and \"completion\". Additionally, you must upload your file with the purpose `fine-tune`. See the [fine-tuning guide](/docs/guides/fine-tuning/creating-training-data) for more details. - * @type {string} - * @memberof CreateFineTuneRequest - */ - 'training_file': string; - /** - * The ID of an uploaded file that contains validation data. If you provide this file, the data is used to generate validation metrics periodically during fine-tuning. These metrics can be viewed in the [fine-tuning results file](/docs/guides/fine-tuning/analyzing-your-fine-tuned-model). Your train and validation data should be mutually exclusive. Your dataset must be formatted as a JSONL file, where each validation example is a JSON object with the keys \"prompt\" and \"completion\". Additionally, you must upload your file with the purpose `fine-tune`. See the [fine-tuning guide](/docs/guides/fine-tuning/creating-training-data) for more details. - * @type {string} - * @memberof CreateFineTuneRequest - */ - 'validation_file'?: string | null; - /** - * The name of the base model to fine-tune. You can select one of \"ada\", \"babbage\", \"curie\", \"davinci\", or a fine-tuned model created after 2022-04-21. To learn more about these models, see the [Models](https://beta.openai.com/docs/models) documentation. - * @type {string} - * @memberof CreateFineTuneRequest - */ - 'model'?: string | null; - /** - * The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset. - * @type {number} - * @memberof CreateFineTuneRequest - */ - 'n_epochs'?: number | null; - /** - * The batch size to use for training. The batch size is the number of training examples used to train a single forward and backward pass. By default, the batch size will be dynamically configured to be ~0.2% of the number of examples in the training set, capped at 256 - in general, we\'ve found that larger batch sizes tend to work better for larger datasets. - * @type {number} - * @memberof CreateFineTuneRequest - */ - 'batch_size'?: number | null; - /** - * The learning rate multiplier to use for training. The fine-tuning learning rate is the original learning rate used for pretraining multiplied by this value. By default, the learning rate multiplier is the 0.05, 0.1, or 0.2 depending on final `batch_size` (larger learning rates tend to perform better with larger batch sizes). We recommend experimenting with values in the range 0.02 to 0.2 to see what produces the best results. - * @type {number} - * @memberof CreateFineTuneRequest - */ - 'learning_rate_multiplier'?: number | null; - /** - * The weight to use for loss on the prompt tokens. This controls how much the model tries to learn to generate the prompt (as compared to the completion which always has a weight of 1.0), and can add a stabilizing effect to training when completions are short. If prompts are extremely long (relative to completions), it may make sense to reduce this weight so as to avoid over-prioritizing learning the prompt. - * @type {number} - * @memberof CreateFineTuneRequest - */ - 'prompt_loss_weight'?: number | null; - /** - * If set, we calculate classification-specific metrics such as accuracy and F-1 score using the validation set at the end of every epoch. These metrics can be viewed in the [results file](/docs/guides/fine-tuning/analyzing-your-fine-tuned-model). In order to compute classification metrics, you must provide a `validation_file`. Additionally, you must specify `classification_n_classes` for multiclass classification or `classification_positive_class` for binary classification. - * @type {boolean} - * @memberof CreateFineTuneRequest - */ - 'compute_classification_metrics'?: boolean | null; - /** - * The number of classes in a classification task. This parameter is required for multiclass classification. - * @type {number} - * @memberof CreateFineTuneRequest - */ - 'classification_n_classes'?: number | null; - /** - * The positive class in binary classification. This parameter is needed to generate precision, recall, and F1 metrics when doing binary classification. - * @type {string} - * @memberof CreateFineTuneRequest - */ - 'classification_positive_class'?: string | null; - /** - * If this is provided, we calculate F-beta scores at the specified beta values. The F-beta score is a generalization of F-1 score. This is only used for binary classification. With a beta of 1 (i.e. the F-1 score), precision and recall are given the same weight. A larger beta score puts more weight on recall and less on precision. A smaller beta score puts more weight on precision and less on recall. - * @type {Array} - * @memberof CreateFineTuneRequest - */ - 'classification_betas'?: Array | null; - /** - * A string of up to 40 characters that will be added to your fine-tuned model name. For example, a `suffix` of \"custom-model-name\" would produce a model name like `ada:ft-your-org:custom-model-name-2022-02-15-04-21-04`. - * @type {string} - * @memberof CreateFineTuneRequest - */ - 'suffix'?: string | null; -} -/** - * - * @export - * @interface CreateImageRequest - */ -export interface CreateImageRequest { - /** - * A text description of the desired image(s). The maximum length is 1000 characters. - * @type {string} - * @memberof CreateImageRequest - */ - 'prompt': string; - /** - * The number of images to generate. Must be between 1 and 10. - * @type {number} - * @memberof CreateImageRequest - */ - 'n'?: number | null; - /** - * The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @type {string} - * @memberof CreateImageRequest - */ - 'size'?: CreateImageRequestSizeEnum; - /** - * The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @type {string} - * @memberof CreateImageRequest - */ - 'response_format'?: CreateImageRequestResponseFormatEnum; - /** - * A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @type {string} - * @memberof CreateImageRequest - */ - 'user'?: string; -} -export declare const CreateImageRequestSizeEnum: { - readonly _256x256: "256x256"; - readonly _512x512: "512x512"; - readonly _1024x1024: "1024x1024"; -}; -export declare type CreateImageRequestSizeEnum = typeof CreateImageRequestSizeEnum[keyof typeof CreateImageRequestSizeEnum]; -export declare const CreateImageRequestResponseFormatEnum: { - readonly Url: "url"; - readonly B64Json: "b64_json"; -}; -export declare type CreateImageRequestResponseFormatEnum = typeof CreateImageRequestResponseFormatEnum[keyof typeof CreateImageRequestResponseFormatEnum]; -/** - * - * @export - * @interface CreateModerationRequest - */ -export interface CreateModerationRequest { - /** - * - * @type {CreateModerationRequestInput} - * @memberof CreateModerationRequest - */ - 'input': CreateModerationRequestInput; - /** - * Two content moderations models are available: `text-moderation-stable` and `text-moderation-latest`. The default is `text-moderation-latest` which will be automatically upgraded over time. This ensures you are always using our most accurate model. If you use `text-moderation-stable`, we will provide advanced notice before updating the model. Accuracy of `text-moderation-stable` may be slightly lower than for `text-moderation-latest`. - * @type {string} - * @memberof CreateModerationRequest - */ - 'model'?: string; -} -/** - * @type CreateModerationRequestInput - * The input text to classify - * @export - */ -export declare type CreateModerationRequestInput = Array | string; -/** - * - * @export - * @interface CreateModerationResponse - */ -export interface CreateModerationResponse { - /** - * - * @type {string} - * @memberof CreateModerationResponse - */ - 'id': string; - /** - * - * @type {string} - * @memberof CreateModerationResponse - */ - 'model': string; - /** - * - * @type {Array} - * @memberof CreateModerationResponse - */ - 'results': Array; -} -/** - * - * @export - * @interface CreateModerationResponseResultsInner - */ -export interface CreateModerationResponseResultsInner { - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInner - */ - 'flagged': boolean; - /** - * - * @type {CreateModerationResponseResultsInnerCategories} - * @memberof CreateModerationResponseResultsInner - */ - 'categories': CreateModerationResponseResultsInnerCategories; - /** - * - * @type {CreateModerationResponseResultsInnerCategoryScores} - * @memberof CreateModerationResponseResultsInner - */ - 'category_scores': CreateModerationResponseResultsInnerCategoryScores; -} -/** - * - * @export - * @interface CreateModerationResponseResultsInnerCategories - */ -export interface CreateModerationResponseResultsInnerCategories { - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'hate': boolean; - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'hate/threatening': boolean; - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'self-harm': boolean; - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'sexual': boolean; - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'sexual/minors': boolean; - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'violence': boolean; - /** - * - * @type {boolean} - * @memberof CreateModerationResponseResultsInnerCategories - */ - 'violence/graphic': boolean; -} -/** - * - * @export - * @interface CreateModerationResponseResultsInnerCategoryScores - */ -export interface CreateModerationResponseResultsInnerCategoryScores { - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'hate': number; - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'hate/threatening': number; - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'self-harm': number; - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'sexual': number; - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'sexual/minors': number; - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'violence': number; - /** - * - * @type {number} - * @memberof CreateModerationResponseResultsInnerCategoryScores - */ - 'violence/graphic': number; -} -/** - * - * @export - * @interface CreateSearchRequest - */ -export interface CreateSearchRequest { - /** - * Query to search against the documents. - * @type {string} - * @memberof CreateSearchRequest - */ - 'query': string; - /** - * Up to 200 documents to search over, provided as a list of strings. The maximum document length (in tokens) is 2034 minus the number of tokens in the query. You should specify either `documents` or a `file`, but not both. - * @type {Array} - * @memberof CreateSearchRequest - */ - 'documents'?: Array | null; - /** - * The ID of an uploaded file that contains documents to search over. You should specify either `documents` or a `file`, but not both. - * @type {string} - * @memberof CreateSearchRequest - */ - 'file'?: string | null; - /** - * The maximum number of documents to be re-ranked and returned by search. This flag only takes effect when `file` is set. - * @type {number} - * @memberof CreateSearchRequest - */ - 'max_rerank'?: number | null; - /** - * A special boolean flag for showing metadata. If set to `true`, each document entry in the returned JSON will contain a \"metadata\" field. This flag only takes effect when `file` is set. - * @type {boolean} - * @memberof CreateSearchRequest - */ - 'return_metadata'?: boolean | null; - /** - * A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @type {string} - * @memberof CreateSearchRequest - */ - 'user'?: string; -} -/** - * - * @export - * @interface CreateSearchResponse - */ -export interface CreateSearchResponse { - /** - * - * @type {string} - * @memberof CreateSearchResponse - */ - 'object'?: string; - /** - * - * @type {string} - * @memberof CreateSearchResponse - */ - 'model'?: string; - /** - * - * @type {Array} - * @memberof CreateSearchResponse - */ - 'data'?: Array; -} -/** - * - * @export - * @interface CreateSearchResponseDataInner - */ -export interface CreateSearchResponseDataInner { - /** - * - * @type {string} - * @memberof CreateSearchResponseDataInner - */ - 'object'?: string; - /** - * - * @type {number} - * @memberof CreateSearchResponseDataInner - */ - 'document'?: number; - /** - * - * @type {number} - * @memberof CreateSearchResponseDataInner - */ - 'score'?: number; -} -/** - * - * @export - * @interface DeleteFileResponse - */ -export interface DeleteFileResponse { - /** - * - * @type {string} - * @memberof DeleteFileResponse - */ - 'id': string; - /** - * - * @type {string} - * @memberof DeleteFileResponse - */ - 'object': string; - /** - * - * @type {boolean} - * @memberof DeleteFileResponse - */ - 'deleted': boolean; -} -/** - * - * @export - * @interface DeleteModelResponse - */ -export interface DeleteModelResponse { - /** - * - * @type {string} - * @memberof DeleteModelResponse - */ - 'id': string; - /** - * - * @type {string} - * @memberof DeleteModelResponse - */ - 'object': string; - /** - * - * @type {boolean} - * @memberof DeleteModelResponse - */ - 'deleted': boolean; -} -/** - * - * @export - * @interface Engine - */ -export interface Engine { - /** - * - * @type {string} - * @memberof Engine - */ - 'id': string; - /** - * - * @type {string} - * @memberof Engine - */ - 'object': string; - /** - * - * @type {number} - * @memberof Engine - */ - 'created': number | null; - /** - * - * @type {boolean} - * @memberof Engine - */ - 'ready': boolean; -} -/** - * - * @export - * @interface FineTune - */ -export interface FineTune { - /** - * - * @type {string} - * @memberof FineTune - */ - 'id': string; - /** - * - * @type {string} - * @memberof FineTune - */ - 'object': string; - /** - * - * @type {number} - * @memberof FineTune - */ - 'created_at': number; - /** - * - * @type {number} - * @memberof FineTune - */ - 'updated_at': number; - /** - * - * @type {string} - * @memberof FineTune - */ - 'model': string; - /** - * - * @type {string} - * @memberof FineTune - */ - 'fine_tuned_model': string | null; - /** - * - * @type {string} - * @memberof FineTune - */ - 'organization_id': string; - /** - * - * @type {string} - * @memberof FineTune - */ - 'status': string; - /** - * - * @type {object} - * @memberof FineTune - */ - 'hyperparams': object; - /** - * - * @type {Array} - * @memberof FineTune - */ - 'training_files': Array; - /** - * - * @type {Array} - * @memberof FineTune - */ - 'validation_files': Array; - /** - * - * @type {Array} - * @memberof FineTune - */ - 'result_files': Array; - /** - * - * @type {Array} - * @memberof FineTune - */ - 'events'?: Array; -} -/** - * - * @export - * @interface FineTuneEvent - */ -export interface FineTuneEvent { - /** - * - * @type {string} - * @memberof FineTuneEvent - */ - 'object': string; - /** - * - * @type {number} - * @memberof FineTuneEvent - */ - 'created_at': number; - /** - * - * @type {string} - * @memberof FineTuneEvent - */ - 'level': string; - /** - * - * @type {string} - * @memberof FineTuneEvent - */ - 'message': string; -} -/** - * - * @export - * @interface ImagesResponse - */ -export interface ImagesResponse { - /** - * - * @type {number} - * @memberof ImagesResponse - */ - 'created': number; - /** - * - * @type {Array} - * @memberof ImagesResponse - */ - 'data': Array; -} -/** - * - * @export - * @interface ImagesResponseDataInner - */ -export interface ImagesResponseDataInner { - /** - * - * @type {string} - * @memberof ImagesResponseDataInner - */ - 'url'?: string; - /** - * - * @type {string} - * @memberof ImagesResponseDataInner - */ - 'b64_json'?: string; -} -/** - * - * @export - * @interface ListEnginesResponse - */ -export interface ListEnginesResponse { - /** - * - * @type {string} - * @memberof ListEnginesResponse - */ - 'object': string; - /** - * - * @type {Array} - * @memberof ListEnginesResponse - */ - 'data': Array; -} -/** - * - * @export - * @interface ListFilesResponse - */ -export interface ListFilesResponse { - /** - * - * @type {string} - * @memberof ListFilesResponse - */ - 'object': string; - /** - * - * @type {Array} - * @memberof ListFilesResponse - */ - 'data': Array; -} -/** - * - * @export - * @interface ListFineTuneEventsResponse - */ -export interface ListFineTuneEventsResponse { - /** - * - * @type {string} - * @memberof ListFineTuneEventsResponse - */ - 'object': string; - /** - * - * @type {Array} - * @memberof ListFineTuneEventsResponse - */ - 'data': Array; -} -/** - * - * @export - * @interface ListFineTunesResponse - */ -export interface ListFineTunesResponse { - /** - * - * @type {string} - * @memberof ListFineTunesResponse - */ - 'object': string; - /** - * - * @type {Array} - * @memberof ListFineTunesResponse - */ - 'data': Array; -} -/** - * - * @export - * @interface ListModelsResponse - */ -export interface ListModelsResponse { - /** - * - * @type {string} - * @memberof ListModelsResponse - */ - 'object': string; - /** - * - * @type {Array} - * @memberof ListModelsResponse - */ - 'data': Array; -} -/** - * - * @export - * @interface Model - */ -export interface Model { - /** - * - * @type {string} - * @memberof Model - */ - 'id': string; - /** - * - * @type {string} - * @memberof Model - */ - 'object': string; - /** - * - * @type {number} - * @memberof Model - */ - 'created': number; - /** - * - * @type {string} - * @memberof Model - */ - 'owned_by': string; -} -/** - * - * @export - * @interface OpenAIFile - */ -export interface OpenAIFile { - /** - * - * @type {string} - * @memberof OpenAIFile - */ - 'id': string; - /** - * - * @type {string} - * @memberof OpenAIFile - */ - 'object': string; - /** - * - * @type {number} - * @memberof OpenAIFile - */ - 'bytes': number; - /** - * - * @type {number} - * @memberof OpenAIFile - */ - 'created_at': number; - /** - * - * @type {string} - * @memberof OpenAIFile - */ - 'filename': string; - /** - * - * @type {string} - * @memberof OpenAIFile - */ - 'purpose': string; - /** - * - * @type {string} - * @memberof OpenAIFile - */ - 'status'?: string; - /** - * - * @type {object} - * @memberof OpenAIFile - */ - 'status_details'?: object | null; -} -/** - * OpenAIApi - axios parameter creator - * @export - */ -export declare const OpenAIApiAxiosParamCreator: (configuration?: Configuration) => { - /** - * - * @summary Immediately cancel a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to cancel - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - cancelFineTune: (fineTuneId: string, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions). - * @param {CreateAnswerRequest} createAnswerRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createAnswer: (createAnswerRequest: CreateAnswerRequest, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases. - * @param {CreateClassificationRequest} createClassificationRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createClassification: (createClassificationRequest: CreateClassificationRequest, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Creates a completion for the provided prompt and parameters - * @param {CreateCompletionRequest} createCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createCompletion: (createCompletionRequest: CreateCompletionRequest, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Creates a new edit for the provided input, instruction, and parameters - * @param {CreateEditRequest} createEditRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEdit: (createEditRequest: CreateEditRequest, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Creates an embedding vector representing the input text. - * @param {CreateEmbeddingRequest} createEmbeddingRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEmbedding: (createEmbeddingRequest: CreateEmbeddingRequest, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit. - * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded. If the `purpose` is set to \\\"fine-tune\\\", each line is a JSON record with \\\"prompt\\\" and \\\"completion\\\" fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data). - * @param {string} purpose The intended purpose of the uploaded documents. Use \\\"fine-tune\\\" for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFile: (file: File, purpose: string, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {CreateFineTuneRequest} createFineTuneRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFineTune: (createFineTuneRequest: CreateFineTuneRequest, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Creates an image given a prompt. - * @param {CreateImageRequest} createImageRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImage: (createImageRequest: CreateImageRequest, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Creates an edited or extended image given an original image and a prompt. - * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. - * @param {File} mask An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. - * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageEdit: (image: File, mask: File, prompt: string, n?: number, size?: string, responseFormat?: string, user?: string, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Creates a variation of a given image. - * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageVariation: (image: File, n?: number, size?: string, responseFormat?: string, user?: string, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Classifies if text violates OpenAI\'s Content Policy - * @param {CreateModerationRequest} createModerationRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createModeration: (createModerationRequest: CreateModerationRequest, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them. To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores. The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query. - * @param {string} engineId The ID of the engine to use for this request. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @param {CreateSearchRequest} createSearchRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createSearch: (engineId: string, createSearchRequest: CreateSearchRequest, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Delete a file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteFile: (fileId: string, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Delete a fine-tuned model. You must have the Owner role in your organization. - * @param {string} model The model to delete - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteModel: (model: string, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Returns the contents of the specified file - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - downloadFile: (fileId: string, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - listEngines: (options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Returns a list of files that belong to the user\'s organization. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFiles: (options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Get fine-grained status updates for a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to get events for. - * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a `data: [DONE]` message when the job is finished (succeeded, cancelled, or failed). If set to false, only events generated so far will be returned. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTuneEvents: (fineTuneId: string, stream?: boolean, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary List your organization\'s fine-tuning jobs - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTunes: (options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listModels: (options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Retrieves a model instance, providing basic information about it such as the owner and availability. - * @param {string} engineId The ID of the engine to use for this request - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - retrieveEngine: (engineId: string, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Returns information about a specific file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFile: (fileId: string, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Gets info about the fine-tune job. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {string} fineTuneId The ID of the fine-tune job - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFineTune: (fineTuneId: string, options?: AxiosRequestConfig) => Promise; - /** - * - * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - * @param {string} model The ID of the model to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveModel: (model: string, options?: AxiosRequestConfig) => Promise; -}; -/** - * OpenAIApi - functional programming interface - * @export - */ -export declare const OpenAIApiFp: (configuration?: Configuration) => { - /** - * - * @summary Immediately cancel a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to cancel - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - cancelFineTune(fineTuneId: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions). - * @param {CreateAnswerRequest} createAnswerRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createAnswer(createAnswerRequest: CreateAnswerRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases. - * @param {CreateClassificationRequest} createClassificationRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createClassification(createClassificationRequest: CreateClassificationRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Creates a completion for the provided prompt and parameters - * @param {CreateCompletionRequest} createCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createCompletion(createCompletionRequest: CreateCompletionRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Creates a new edit for the provided input, instruction, and parameters - * @param {CreateEditRequest} createEditRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEdit(createEditRequest: CreateEditRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Creates an embedding vector representing the input text. - * @param {CreateEmbeddingRequest} createEmbeddingRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEmbedding(createEmbeddingRequest: CreateEmbeddingRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit. - * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded. If the `purpose` is set to \\\"fine-tune\\\", each line is a JSON record with \\\"prompt\\\" and \\\"completion\\\" fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data). - * @param {string} purpose The intended purpose of the uploaded documents. Use \\\"fine-tune\\\" for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFile(file: File, purpose: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {CreateFineTuneRequest} createFineTuneRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFineTune(createFineTuneRequest: CreateFineTuneRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Creates an image given a prompt. - * @param {CreateImageRequest} createImageRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImage(createImageRequest: CreateImageRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Creates an edited or extended image given an original image and a prompt. - * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. - * @param {File} mask An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. - * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageEdit(image: File, mask: File, prompt: string, n?: number, size?: string, responseFormat?: string, user?: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Creates a variation of a given image. - * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageVariation(image: File, n?: number, size?: string, responseFormat?: string, user?: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Classifies if text violates OpenAI\'s Content Policy - * @param {CreateModerationRequest} createModerationRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createModeration(createModerationRequest: CreateModerationRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them. To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores. The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query. - * @param {string} engineId The ID of the engine to use for this request. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @param {CreateSearchRequest} createSearchRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createSearch(engineId: string, createSearchRequest: CreateSearchRequest, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Delete a file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteFile(fileId: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Delete a fine-tuned model. You must have the Owner role in your organization. - * @param {string} model The model to delete - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteModel(model: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Returns the contents of the specified file - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - downloadFile(fileId: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - listEngines(options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Returns a list of files that belong to the user\'s organization. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFiles(options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Get fine-grained status updates for a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to get events for. - * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a `data: [DONE]` message when the job is finished (succeeded, cancelled, or failed). If set to false, only events generated so far will be returned. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTuneEvents(fineTuneId: string, stream?: boolean, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary List your organization\'s fine-tuning jobs - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTunes(options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listModels(options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Retrieves a model instance, providing basic information about it such as the owner and availability. - * @param {string} engineId The ID of the engine to use for this request - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - retrieveEngine(engineId: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Returns information about a specific file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFile(fileId: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Gets info about the fine-tune job. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {string} fineTuneId The ID of the fine-tune job - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFineTune(fineTuneId: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; - /** - * - * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - * @param {string} model The ID of the model to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveModel(model: string, options?: AxiosRequestConfig): Promise<(axios?: AxiosInstance, basePath?: string) => AxiosPromise>; -}; -/** - * OpenAIApi - factory interface - * @export - */ -export declare const OpenAIApiFactory: (configuration?: Configuration, basePath?: string, axios?: AxiosInstance) => { - /** - * - * @summary Immediately cancel a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to cancel - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - cancelFineTune(fineTuneId: string, options?: any): AxiosPromise; - /** - * - * @summary Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions). - * @param {CreateAnswerRequest} createAnswerRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createAnswer(createAnswerRequest: CreateAnswerRequest, options?: any): AxiosPromise; - /** - * - * @summary Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases. - * @param {CreateClassificationRequest} createClassificationRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createClassification(createClassificationRequest: CreateClassificationRequest, options?: any): AxiosPromise; - /** - * - * @summary Creates a completion for the provided prompt and parameters - * @param {CreateCompletionRequest} createCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createCompletion(createCompletionRequest: CreateCompletionRequest, options?: any): AxiosPromise; - /** - * - * @summary Creates a new edit for the provided input, instruction, and parameters - * @param {CreateEditRequest} createEditRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEdit(createEditRequest: CreateEditRequest, options?: any): AxiosPromise; - /** - * - * @summary Creates an embedding vector representing the input text. - * @param {CreateEmbeddingRequest} createEmbeddingRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEmbedding(createEmbeddingRequest: CreateEmbeddingRequest, options?: any): AxiosPromise; - /** - * - * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit. - * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded. If the `purpose` is set to \\\"fine-tune\\\", each line is a JSON record with \\\"prompt\\\" and \\\"completion\\\" fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data). - * @param {string} purpose The intended purpose of the uploaded documents. Use \\\"fine-tune\\\" for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFile(file: File, purpose: string, options?: any): AxiosPromise; - /** - * - * @summary Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {CreateFineTuneRequest} createFineTuneRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFineTune(createFineTuneRequest: CreateFineTuneRequest, options?: any): AxiosPromise; - /** - * - * @summary Creates an image given a prompt. - * @param {CreateImageRequest} createImageRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImage(createImageRequest: CreateImageRequest, options?: any): AxiosPromise; - /** - * - * @summary Creates an edited or extended image given an original image and a prompt. - * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. - * @param {File} mask An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. - * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageEdit(image: File, mask: File, prompt: string, n?: number, size?: string, responseFormat?: string, user?: string, options?: any): AxiosPromise; - /** - * - * @summary Creates a variation of a given image. - * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageVariation(image: File, n?: number, size?: string, responseFormat?: string, user?: string, options?: any): AxiosPromise; - /** - * - * @summary Classifies if text violates OpenAI\'s Content Policy - * @param {CreateModerationRequest} createModerationRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createModeration(createModerationRequest: CreateModerationRequest, options?: any): AxiosPromise; - /** - * - * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them. To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores. The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query. - * @param {string} engineId The ID of the engine to use for this request. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @param {CreateSearchRequest} createSearchRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createSearch(engineId: string, createSearchRequest: CreateSearchRequest, options?: any): AxiosPromise; - /** - * - * @summary Delete a file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteFile(fileId: string, options?: any): AxiosPromise; - /** - * - * @summary Delete a fine-tuned model. You must have the Owner role in your organization. - * @param {string} model The model to delete - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteModel(model: string, options?: any): AxiosPromise; - /** - * - * @summary Returns the contents of the specified file - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - downloadFile(fileId: string, options?: any): AxiosPromise; - /** - * - * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - listEngines(options?: any): AxiosPromise; - /** - * - * @summary Returns a list of files that belong to the user\'s organization. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFiles(options?: any): AxiosPromise; - /** - * - * @summary Get fine-grained status updates for a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to get events for. - * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a `data: [DONE]` message when the job is finished (succeeded, cancelled, or failed). If set to false, only events generated so far will be returned. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTuneEvents(fineTuneId: string, stream?: boolean, options?: any): AxiosPromise; - /** - * - * @summary List your organization\'s fine-tuning jobs - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTunes(options?: any): AxiosPromise; - /** - * - * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listModels(options?: any): AxiosPromise; - /** - * - * @summary Retrieves a model instance, providing basic information about it such as the owner and availability. - * @param {string} engineId The ID of the engine to use for this request - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - retrieveEngine(engineId: string, options?: any): AxiosPromise; - /** - * - * @summary Returns information about a specific file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFile(fileId: string, options?: any): AxiosPromise; - /** - * - * @summary Gets info about the fine-tune job. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {string} fineTuneId The ID of the fine-tune job - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFineTune(fineTuneId: string, options?: any): AxiosPromise; - /** - * - * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - * @param {string} model The ID of the model to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveModel(model: string, options?: any): AxiosPromise; -}; -/** - * OpenAIApi - object-oriented interface - * @export - * @class OpenAIApi - * @extends {BaseAPI} - */ -export declare class OpenAIApi extends BaseAPI { - /** - * - * @summary Immediately cancel a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to cancel - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - cancelFineTune(fineTuneId: string, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions). - * @param {CreateAnswerRequest} createAnswerRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createAnswer(createAnswerRequest: CreateAnswerRequest, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases. - * @param {CreateClassificationRequest} createClassificationRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createClassification(createClassificationRequest: CreateClassificationRequest, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Creates a completion for the provided prompt and parameters - * @param {CreateCompletionRequest} createCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createCompletion(createCompletionRequest: CreateCompletionRequest, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Creates a new edit for the provided input, instruction, and parameters - * @param {CreateEditRequest} createEditRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createEdit(createEditRequest: CreateEditRequest, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Creates an embedding vector representing the input text. - * @param {CreateEmbeddingRequest} createEmbeddingRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createEmbedding(createEmbeddingRequest: CreateEmbeddingRequest, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit. - * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded. If the `purpose` is set to \\\"fine-tune\\\", each line is a JSON record with \\\"prompt\\\" and \\\"completion\\\" fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data). - * @param {string} purpose The intended purpose of the uploaded documents. Use \\\"fine-tune\\\" for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createFile(file: File, purpose: string, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {CreateFineTuneRequest} createFineTuneRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createFineTune(createFineTuneRequest: CreateFineTuneRequest, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Creates an image given a prompt. - * @param {CreateImageRequest} createImageRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createImage(createImageRequest: CreateImageRequest, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Creates an edited or extended image given an original image and a prompt. - * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. - * @param {File} mask An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. - * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createImageEdit(image: File, mask: File, prompt: string, n?: number, size?: string, responseFormat?: string, user?: string, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Creates a variation of a given image. - * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createImageVariation(image: File, n?: number, size?: string, responseFormat?: string, user?: string, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Classifies if text violates OpenAI\'s Content Policy - * @param {CreateModerationRequest} createModerationRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createModeration(createModerationRequest: CreateModerationRequest, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them. To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores. The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query. - * @param {string} engineId The ID of the engine to use for this request. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @param {CreateSearchRequest} createSearchRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createSearch(engineId: string, createSearchRequest: CreateSearchRequest, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Delete a file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - deleteFile(fileId: string, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Delete a fine-tuned model. You must have the Owner role in your organization. - * @param {string} model The model to delete - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - deleteModel(model: string, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Returns the contents of the specified file - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - downloadFile(fileId: string, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - listEngines(options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Returns a list of files that belong to the user\'s organization. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - listFiles(options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Get fine-grained status updates for a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to get events for. - * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a `data: [DONE]` message when the job is finished (succeeded, cancelled, or failed). If set to false, only events generated so far will be returned. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - listFineTuneEvents(fineTuneId: string, stream?: boolean, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary List your organization\'s fine-tuning jobs - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - listFineTunes(options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - listModels(options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Retrieves a model instance, providing basic information about it such as the owner and availability. - * @param {string} engineId The ID of the engine to use for this request - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - retrieveEngine(engineId: string, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Returns information about a specific file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - retrieveFile(fileId: string, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Gets info about the fine-tune job. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {string} fineTuneId The ID of the fine-tune job - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - retrieveFineTune(fineTuneId: string, options?: AxiosRequestConfig): Promise>; - /** - * - * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - * @param {string} model The ID of the model to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - retrieveModel(model: string, options?: AxiosRequestConfig): Promise>; -} diff --git a/dist/api.js b/dist/api.js deleted file mode 100644 index e678085ce..000000000 --- a/dist/api.js +++ /dev/null @@ -1,1763 +0,0 @@ -"use strict"; -/* tslint:disable */ -/* eslint-disable */ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.1.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ -var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) { - function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); } - return new (P || (P = Promise))(function (resolve, reject) { - function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } } - function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } } - function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); } - step((generator = generator.apply(thisArg, _arguments || [])).next()); - }); -}; -Object.defineProperty(exports, "__esModule", { value: true }); -exports.OpenAIApi = exports.OpenAIApiFactory = exports.OpenAIApiFp = exports.OpenAIApiAxiosParamCreator = exports.CreateImageRequestResponseFormatEnum = exports.CreateImageRequestSizeEnum = void 0; -const axios_1 = require("axios"); -// Some imports not used depending on template conditions -// @ts-ignore -const common_1 = require("./common"); -// @ts-ignore -const base_1 = require("./base"); -exports.CreateImageRequestSizeEnum = { - _256x256: '256x256', - _512x512: '512x512', - _1024x1024: '1024x1024' -}; -exports.CreateImageRequestResponseFormatEnum = { - Url: 'url', - B64Json: 'b64_json' -}; -/** - * OpenAIApi - axios parameter creator - * @export - */ -exports.OpenAIApiAxiosParamCreator = function (configuration) { - return { - /** - * - * @summary Immediately cancel a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to cancel - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - cancelFineTune: (fineTuneId, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'fineTuneId' is not null or undefined - common_1.assertParamExists('cancelFineTune', 'fineTuneId', fineTuneId); - const localVarPath = `/fine-tunes/{fine_tune_id}/cancel` - .replace(`{${"fine_tune_id"}}`, encodeURIComponent(String(fineTuneId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions). - * @param {CreateAnswerRequest} createAnswerRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createAnswer: (createAnswerRequest, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'createAnswerRequest' is not null or undefined - common_1.assertParamExists('createAnswer', 'createAnswerRequest', createAnswerRequest); - const localVarPath = `/answers`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - localVarHeaderParameter['Content-Type'] = 'application/json'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = common_1.serializeDataIfNeeded(createAnswerRequest, localVarRequestOptions, configuration); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases. - * @param {CreateClassificationRequest} createClassificationRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createClassification: (createClassificationRequest, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'createClassificationRequest' is not null or undefined - common_1.assertParamExists('createClassification', 'createClassificationRequest', createClassificationRequest); - const localVarPath = `/classifications`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - localVarHeaderParameter['Content-Type'] = 'application/json'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = common_1.serializeDataIfNeeded(createClassificationRequest, localVarRequestOptions, configuration); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Creates a completion for the provided prompt and parameters - * @param {CreateCompletionRequest} createCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createCompletion: (createCompletionRequest, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'createCompletionRequest' is not null or undefined - common_1.assertParamExists('createCompletion', 'createCompletionRequest', createCompletionRequest); - const localVarPath = `/completions`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - localVarHeaderParameter['Content-Type'] = 'application/json'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = common_1.serializeDataIfNeeded(createCompletionRequest, localVarRequestOptions, configuration); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Creates a new edit for the provided input, instruction, and parameters - * @param {CreateEditRequest} createEditRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEdit: (createEditRequest, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'createEditRequest' is not null or undefined - common_1.assertParamExists('createEdit', 'createEditRequest', createEditRequest); - const localVarPath = `/edits`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - localVarHeaderParameter['Content-Type'] = 'application/json'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = common_1.serializeDataIfNeeded(createEditRequest, localVarRequestOptions, configuration); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Creates an embedding vector representing the input text. - * @param {CreateEmbeddingRequest} createEmbeddingRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEmbedding: (createEmbeddingRequest, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'createEmbeddingRequest' is not null or undefined - common_1.assertParamExists('createEmbedding', 'createEmbeddingRequest', createEmbeddingRequest); - const localVarPath = `/embeddings`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - localVarHeaderParameter['Content-Type'] = 'application/json'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = common_1.serializeDataIfNeeded(createEmbeddingRequest, localVarRequestOptions, configuration); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit. - * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded. If the `purpose` is set to \\\"fine-tune\\\", each line is a JSON record with \\\"prompt\\\" and \\\"completion\\\" fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data). - * @param {string} purpose The intended purpose of the uploaded documents. Use \\\"fine-tune\\\" for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFile: (file, purpose, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'file' is not null or undefined - common_1.assertParamExists('createFile', 'file', file); - // verify required parameter 'purpose' is not null or undefined - common_1.assertParamExists('createFile', 'purpose', purpose); - const localVarPath = `/files`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - const localVarFormParams = new ((configuration && configuration.formDataCtor) || FormData)(); - if (file !== undefined) { - localVarFormParams.append('file', file); - } - if (purpose !== undefined) { - localVarFormParams.append('purpose', purpose); - } - localVarHeaderParameter['Content-Type'] = 'multipart/form-data'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), localVarFormParams.getHeaders()), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = localVarFormParams; - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {CreateFineTuneRequest} createFineTuneRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFineTune: (createFineTuneRequest, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'createFineTuneRequest' is not null or undefined - common_1.assertParamExists('createFineTune', 'createFineTuneRequest', createFineTuneRequest); - const localVarPath = `/fine-tunes`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - localVarHeaderParameter['Content-Type'] = 'application/json'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = common_1.serializeDataIfNeeded(createFineTuneRequest, localVarRequestOptions, configuration); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Creates an image given a prompt. - * @param {CreateImageRequest} createImageRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImage: (createImageRequest, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'createImageRequest' is not null or undefined - common_1.assertParamExists('createImage', 'createImageRequest', createImageRequest); - const localVarPath = `/images/generations`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - localVarHeaderParameter['Content-Type'] = 'application/json'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = common_1.serializeDataIfNeeded(createImageRequest, localVarRequestOptions, configuration); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Creates an edited or extended image given an original image and a prompt. - * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. - * @param {File} mask An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. - * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageEdit: (image, mask, prompt, n, size, responseFormat, user, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'image' is not null or undefined - common_1.assertParamExists('createImageEdit', 'image', image); - // verify required parameter 'mask' is not null or undefined - common_1.assertParamExists('createImageEdit', 'mask', mask); - // verify required parameter 'prompt' is not null or undefined - common_1.assertParamExists('createImageEdit', 'prompt', prompt); - const localVarPath = `/images/edits`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - const localVarFormParams = new ((configuration && configuration.formDataCtor) || FormData)(); - if (image !== undefined) { - localVarFormParams.append('image', image); - } - if (mask !== undefined) { - localVarFormParams.append('mask', mask); - } - if (prompt !== undefined) { - localVarFormParams.append('prompt', prompt); - } - if (n !== undefined) { - localVarFormParams.append('n', n); - } - if (size !== undefined) { - localVarFormParams.append('size', size); - } - if (responseFormat !== undefined) { - localVarFormParams.append('response_format', responseFormat); - } - if (user !== undefined) { - localVarFormParams.append('user', user); - } - localVarHeaderParameter['Content-Type'] = 'multipart/form-data'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), localVarFormParams.getHeaders()), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = localVarFormParams; - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Creates a variation of a given image. - * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageVariation: (image, n, size, responseFormat, user, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'image' is not null or undefined - common_1.assertParamExists('createImageVariation', 'image', image); - const localVarPath = `/images/variations`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - const localVarFormParams = new ((configuration && configuration.formDataCtor) || FormData)(); - if (image !== undefined) { - localVarFormParams.append('image', image); - } - if (n !== undefined) { - localVarFormParams.append('n', n); - } - if (size !== undefined) { - localVarFormParams.append('size', size); - } - if (responseFormat !== undefined) { - localVarFormParams.append('response_format', responseFormat); - } - if (user !== undefined) { - localVarFormParams.append('user', user); - } - localVarHeaderParameter['Content-Type'] = 'multipart/form-data'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), localVarFormParams.getHeaders()), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = localVarFormParams; - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Classifies if text violates OpenAI\'s Content Policy - * @param {CreateModerationRequest} createModerationRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createModeration: (createModerationRequest, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'createModerationRequest' is not null or undefined - common_1.assertParamExists('createModeration', 'createModerationRequest', createModerationRequest); - const localVarPath = `/moderations`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - localVarHeaderParameter['Content-Type'] = 'application/json'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = common_1.serializeDataIfNeeded(createModerationRequest, localVarRequestOptions, configuration); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them. To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores. The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query. - * @param {string} engineId The ID of the engine to use for this request. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @param {CreateSearchRequest} createSearchRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createSearch: (engineId, createSearchRequest, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'engineId' is not null or undefined - common_1.assertParamExists('createSearch', 'engineId', engineId); - // verify required parameter 'createSearchRequest' is not null or undefined - common_1.assertParamExists('createSearch', 'createSearchRequest', createSearchRequest); - const localVarPath = `/engines/{engine_id}/search` - .replace(`{${"engine_id"}}`, encodeURIComponent(String(engineId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'POST' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - localVarHeaderParameter['Content-Type'] = 'application/json'; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - localVarRequestOptions.data = common_1.serializeDataIfNeeded(createSearchRequest, localVarRequestOptions, configuration); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Delete a file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteFile: (fileId, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'fileId' is not null or undefined - common_1.assertParamExists('deleteFile', 'fileId', fileId); - const localVarPath = `/files/{file_id}` - .replace(`{${"file_id"}}`, encodeURIComponent(String(fileId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'DELETE' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Delete a fine-tuned model. You must have the Owner role in your organization. - * @param {string} model The model to delete - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteModel: (model, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'model' is not null or undefined - common_1.assertParamExists('deleteModel', 'model', model); - const localVarPath = `/models/{model}` - .replace(`{${"model"}}`, encodeURIComponent(String(model))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'DELETE' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Returns the contents of the specified file - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - downloadFile: (fileId, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'fileId' is not null or undefined - common_1.assertParamExists('downloadFile', 'fileId', fileId); - const localVarPath = `/files/{file_id}/content` - .replace(`{${"file_id"}}`, encodeURIComponent(String(fileId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'GET' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - listEngines: (options = {}) => __awaiter(this, void 0, void 0, function* () { - const localVarPath = `/engines`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'GET' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Returns a list of files that belong to the user\'s organization. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFiles: (options = {}) => __awaiter(this, void 0, void 0, function* () { - const localVarPath = `/files`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'GET' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Get fine-grained status updates for a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to get events for. - * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a `data: [DONE]` message when the job is finished (succeeded, cancelled, or failed). If set to false, only events generated so far will be returned. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTuneEvents: (fineTuneId, stream, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'fineTuneId' is not null or undefined - common_1.assertParamExists('listFineTuneEvents', 'fineTuneId', fineTuneId); - const localVarPath = `/fine-tunes/{fine_tune_id}/events` - .replace(`{${"fine_tune_id"}}`, encodeURIComponent(String(fineTuneId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'GET' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - if (stream !== undefined) { - localVarQueryParameter['stream'] = stream; - } - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary List your organization\'s fine-tuning jobs - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTunes: (options = {}) => __awaiter(this, void 0, void 0, function* () { - const localVarPath = `/fine-tunes`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'GET' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listModels: (options = {}) => __awaiter(this, void 0, void 0, function* () { - const localVarPath = `/models`; - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'GET' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Retrieves a model instance, providing basic information about it such as the owner and availability. - * @param {string} engineId The ID of the engine to use for this request - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - retrieveEngine: (engineId, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'engineId' is not null or undefined - common_1.assertParamExists('retrieveEngine', 'engineId', engineId); - const localVarPath = `/engines/{engine_id}` - .replace(`{${"engine_id"}}`, encodeURIComponent(String(engineId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'GET' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Returns information about a specific file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFile: (fileId, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'fileId' is not null or undefined - common_1.assertParamExists('retrieveFile', 'fileId', fileId); - const localVarPath = `/files/{file_id}` - .replace(`{${"file_id"}}`, encodeURIComponent(String(fileId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'GET' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Gets info about the fine-tune job. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {string} fineTuneId The ID of the fine-tune job - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFineTune: (fineTuneId, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'fineTuneId' is not null or undefined - common_1.assertParamExists('retrieveFineTune', 'fineTuneId', fineTuneId); - const localVarPath = `/fine-tunes/{fine_tune_id}` - .replace(`{${"fine_tune_id"}}`, encodeURIComponent(String(fineTuneId))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'GET' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - /** - * - * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - * @param {string} model The ID of the model to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveModel: (model, options = {}) => __awaiter(this, void 0, void 0, function* () { - // verify required parameter 'model' is not null or undefined - common_1.assertParamExists('retrieveModel', 'model', model); - const localVarPath = `/models/{model}` - .replace(`{${"model"}}`, encodeURIComponent(String(model))); - // use dummy base URL string because the URL constructor only accepts absolute URLs. - const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL); - let baseOptions; - if (configuration) { - baseOptions = configuration.baseOptions; - } - const localVarRequestOptions = Object.assign(Object.assign({ method: 'GET' }, baseOptions), options); - const localVarHeaderParameter = {}; - const localVarQueryParameter = {}; - common_1.setSearchParams(localVarUrlObj, localVarQueryParameter); - let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {}; - localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers); - return { - url: common_1.toPathString(localVarUrlObj), - options: localVarRequestOptions, - }; - }), - }; -}; -/** - * OpenAIApi - functional programming interface - * @export - */ -exports.OpenAIApiFp = function (configuration) { - const localVarAxiosParamCreator = exports.OpenAIApiAxiosParamCreator(configuration); - return { - /** - * - * @summary Immediately cancel a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to cancel - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - cancelFineTune(fineTuneId, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.cancelFineTune(fineTuneId, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions). - * @param {CreateAnswerRequest} createAnswerRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createAnswer(createAnswerRequest, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createAnswer(createAnswerRequest, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases. - * @param {CreateClassificationRequest} createClassificationRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createClassification(createClassificationRequest, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createClassification(createClassificationRequest, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Creates a completion for the provided prompt and parameters - * @param {CreateCompletionRequest} createCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createCompletion(createCompletionRequest, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createCompletion(createCompletionRequest, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Creates a new edit for the provided input, instruction, and parameters - * @param {CreateEditRequest} createEditRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEdit(createEditRequest, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createEdit(createEditRequest, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Creates an embedding vector representing the input text. - * @param {CreateEmbeddingRequest} createEmbeddingRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEmbedding(createEmbeddingRequest, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createEmbedding(createEmbeddingRequest, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit. - * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded. If the `purpose` is set to \\\"fine-tune\\\", each line is a JSON record with \\\"prompt\\\" and \\\"completion\\\" fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data). - * @param {string} purpose The intended purpose of the uploaded documents. Use \\\"fine-tune\\\" for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFile(file, purpose, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createFile(file, purpose, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {CreateFineTuneRequest} createFineTuneRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFineTune(createFineTuneRequest, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createFineTune(createFineTuneRequest, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Creates an image given a prompt. - * @param {CreateImageRequest} createImageRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImage(createImageRequest, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createImage(createImageRequest, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Creates an edited or extended image given an original image and a prompt. - * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. - * @param {File} mask An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. - * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageEdit(image, mask, prompt, n, size, responseFormat, user, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createImageEdit(image, mask, prompt, n, size, responseFormat, user, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Creates a variation of a given image. - * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageVariation(image, n, size, responseFormat, user, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createImageVariation(image, n, size, responseFormat, user, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Classifies if text violates OpenAI\'s Content Policy - * @param {CreateModerationRequest} createModerationRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createModeration(createModerationRequest, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createModeration(createModerationRequest, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them. To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores. The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query. - * @param {string} engineId The ID of the engine to use for this request. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @param {CreateSearchRequest} createSearchRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createSearch(engineId, createSearchRequest, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.createSearch(engineId, createSearchRequest, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Delete a file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteFile(fileId, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.deleteFile(fileId, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Delete a fine-tuned model. You must have the Owner role in your organization. - * @param {string} model The model to delete - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteModel(model, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.deleteModel(model, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Returns the contents of the specified file - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - downloadFile(fileId, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.downloadFile(fileId, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - listEngines(options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.listEngines(options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Returns a list of files that belong to the user\'s organization. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFiles(options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.listFiles(options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Get fine-grained status updates for a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to get events for. - * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a `data: [DONE]` message when the job is finished (succeeded, cancelled, or failed). If set to false, only events generated so far will be returned. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTuneEvents(fineTuneId, stream, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.listFineTuneEvents(fineTuneId, stream, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary List your organization\'s fine-tuning jobs - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTunes(options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.listFineTunes(options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listModels(options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.listModels(options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Retrieves a model instance, providing basic information about it such as the owner and availability. - * @param {string} engineId The ID of the engine to use for this request - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - retrieveEngine(engineId, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.retrieveEngine(engineId, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Returns information about a specific file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFile(fileId, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.retrieveFile(fileId, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Gets info about the fine-tune job. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {string} fineTuneId The ID of the fine-tune job - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFineTune(fineTuneId, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.retrieveFineTune(fineTuneId, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - /** - * - * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - * @param {string} model The ID of the model to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveModel(model, options) { - return __awaiter(this, void 0, void 0, function* () { - const localVarAxiosArgs = yield localVarAxiosParamCreator.retrieveModel(model, options); - return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration); - }); - }, - }; -}; -/** - * OpenAIApi - factory interface - * @export - */ -exports.OpenAIApiFactory = function (configuration, basePath, axios) { - const localVarFp = exports.OpenAIApiFp(configuration); - return { - /** - * - * @summary Immediately cancel a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to cancel - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - cancelFineTune(fineTuneId, options) { - return localVarFp.cancelFineTune(fineTuneId, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions). - * @param {CreateAnswerRequest} createAnswerRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createAnswer(createAnswerRequest, options) { - return localVarFp.createAnswer(createAnswerRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases. - * @param {CreateClassificationRequest} createClassificationRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createClassification(createClassificationRequest, options) { - return localVarFp.createClassification(createClassificationRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates a completion for the provided prompt and parameters - * @param {CreateCompletionRequest} createCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createCompletion(createCompletionRequest, options) { - return localVarFp.createCompletion(createCompletionRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates a new edit for the provided input, instruction, and parameters - * @param {CreateEditRequest} createEditRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEdit(createEditRequest, options) { - return localVarFp.createEdit(createEditRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates an embedding vector representing the input text. - * @param {CreateEmbeddingRequest} createEmbeddingRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createEmbedding(createEmbeddingRequest, options) { - return localVarFp.createEmbedding(createEmbeddingRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit. - * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded. If the `purpose` is set to \\\"fine-tune\\\", each line is a JSON record with \\\"prompt\\\" and \\\"completion\\\" fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data). - * @param {string} purpose The intended purpose of the uploaded documents. Use \\\"fine-tune\\\" for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFile(file, purpose, options) { - return localVarFp.createFile(file, purpose, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {CreateFineTuneRequest} createFineTuneRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createFineTune(createFineTuneRequest, options) { - return localVarFp.createFineTune(createFineTuneRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates an image given a prompt. - * @param {CreateImageRequest} createImageRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImage(createImageRequest, options) { - return localVarFp.createImage(createImageRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates an edited or extended image given an original image and a prompt. - * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. - * @param {File} mask An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. - * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageEdit(image, mask, prompt, n, size, responseFormat, user, options) { - return localVarFp.createImageEdit(image, mask, prompt, n, size, responseFormat, user, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Creates a variation of a given image. - * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createImageVariation(image, n, size, responseFormat, user, options) { - return localVarFp.createImageVariation(image, n, size, responseFormat, user, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Classifies if text violates OpenAI\'s Content Policy - * @param {CreateModerationRequest} createModerationRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - createModeration(createModerationRequest, options) { - return localVarFp.createModeration(createModerationRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them. To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores. The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query. - * @param {string} engineId The ID of the engine to use for this request. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @param {CreateSearchRequest} createSearchRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - createSearch(engineId, createSearchRequest, options) { - return localVarFp.createSearch(engineId, createSearchRequest, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Delete a file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteFile(fileId, options) { - return localVarFp.deleteFile(fileId, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Delete a fine-tuned model. You must have the Owner role in your organization. - * @param {string} model The model to delete - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - deleteModel(model, options) { - return localVarFp.deleteModel(model, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Returns the contents of the specified file - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - downloadFile(fileId, options) { - return localVarFp.downloadFile(fileId, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - listEngines(options) { - return localVarFp.listEngines(options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Returns a list of files that belong to the user\'s organization. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFiles(options) { - return localVarFp.listFiles(options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Get fine-grained status updates for a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to get events for. - * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a `data: [DONE]` message when the job is finished (succeeded, cancelled, or failed). If set to false, only events generated so far will be returned. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTuneEvents(fineTuneId, stream, options) { - return localVarFp.listFineTuneEvents(fineTuneId, stream, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary List your organization\'s fine-tuning jobs - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listFineTunes(options) { - return localVarFp.listFineTunes(options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - listModels(options) { - return localVarFp.listModels(options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Retrieves a model instance, providing basic information about it such as the owner and availability. - * @param {string} engineId The ID of the engine to use for this request - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - */ - retrieveEngine(engineId, options) { - return localVarFp.retrieveEngine(engineId, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Returns information about a specific file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFile(fileId, options) { - return localVarFp.retrieveFile(fileId, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Gets info about the fine-tune job. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {string} fineTuneId The ID of the fine-tune job - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveFineTune(fineTuneId, options) { - return localVarFp.retrieveFineTune(fineTuneId, options).then((request) => request(axios, basePath)); - }, - /** - * - * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - * @param {string} model The ID of the model to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - */ - retrieveModel(model, options) { - return localVarFp.retrieveModel(model, options).then((request) => request(axios, basePath)); - }, - }; -}; -/** - * OpenAIApi - object-oriented interface - * @export - * @class OpenAIApi - * @extends {BaseAPI} - */ -class OpenAIApi extends base_1.BaseAPI { - /** - * - * @summary Immediately cancel a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to cancel - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - cancelFineTune(fineTuneId, options) { - return exports.OpenAIApiFp(this.configuration).cancelFineTune(fineTuneId, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions). - * @param {CreateAnswerRequest} createAnswerRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createAnswer(createAnswerRequest, options) { - return exports.OpenAIApiFp(this.configuration).createAnswer(createAnswerRequest, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases. - * @param {CreateClassificationRequest} createClassificationRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createClassification(createClassificationRequest, options) { - return exports.OpenAIApiFp(this.configuration).createClassification(createClassificationRequest, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Creates a completion for the provided prompt and parameters - * @param {CreateCompletionRequest} createCompletionRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createCompletion(createCompletionRequest, options) { - return exports.OpenAIApiFp(this.configuration).createCompletion(createCompletionRequest, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Creates a new edit for the provided input, instruction, and parameters - * @param {CreateEditRequest} createEditRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createEdit(createEditRequest, options) { - return exports.OpenAIApiFp(this.configuration).createEdit(createEditRequest, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Creates an embedding vector representing the input text. - * @param {CreateEmbeddingRequest} createEmbeddingRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createEmbedding(createEmbeddingRequest, options) { - return exports.OpenAIApiFp(this.configuration).createEmbedding(createEmbeddingRequest, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit. - * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded. If the `purpose` is set to \\\"fine-tune\\\", each line is a JSON record with \\\"prompt\\\" and \\\"completion\\\" fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data). - * @param {string} purpose The intended purpose of the uploaded documents. Use \\\"fine-tune\\\" for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createFile(file, purpose, options) { - return exports.OpenAIApiFp(this.configuration).createFile(file, purpose, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Creates a job that fine-tunes a specified model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {CreateFineTuneRequest} createFineTuneRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createFineTune(createFineTuneRequest, options) { - return exports.OpenAIApiFp(this.configuration).createFineTune(createFineTuneRequest, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Creates an image given a prompt. - * @param {CreateImageRequest} createImageRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createImage(createImageRequest, options) { - return exports.OpenAIApiFp(this.configuration).createImage(createImageRequest, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Creates an edited or extended image given an original image and a prompt. - * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. - * @param {File} mask An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. - * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createImageEdit(image, mask, prompt, n, size, responseFormat, user, options) { - return exports.OpenAIApiFp(this.configuration).createImageEdit(image, mask, prompt, n, size, responseFormat, user, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Creates a variation of a given image. - * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square. - * @param {number} [n] The number of images to generate. Must be between 1 and 10. - * @param {string} [size] The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. - * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of `url` or `b64_json`. - * @param {string} [user] A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](/docs/usage-policies/end-user-ids). - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createImageVariation(image, n, size, responseFormat, user, options) { - return exports.OpenAIApiFp(this.configuration).createImageVariation(image, n, size, responseFormat, user, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Classifies if text violates OpenAI\'s Content Policy - * @param {CreateModerationRequest} createModerationRequest - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createModeration(createModerationRequest, options) { - return exports.OpenAIApiFp(this.configuration).createModeration(createModerationRequest, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them. To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores. The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query. - * @param {string} engineId The ID of the engine to use for this request. You can select one of `ada`, `babbage`, `curie`, or `davinci`. - * @param {CreateSearchRequest} createSearchRequest - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - createSearch(engineId, createSearchRequest, options) { - return exports.OpenAIApiFp(this.configuration).createSearch(engineId, createSearchRequest, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Delete a file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - deleteFile(fileId, options) { - return exports.OpenAIApiFp(this.configuration).deleteFile(fileId, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Delete a fine-tuned model. You must have the Owner role in your organization. - * @param {string} model The model to delete - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - deleteModel(model, options) { - return exports.OpenAIApiFp(this.configuration).deleteModel(model, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Returns the contents of the specified file - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - downloadFile(fileId, options) { - return exports.OpenAIApiFp(this.configuration).downloadFile(fileId, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - listEngines(options) { - return exports.OpenAIApiFp(this.configuration).listEngines(options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Returns a list of files that belong to the user\'s organization. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - listFiles(options) { - return exports.OpenAIApiFp(this.configuration).listFiles(options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Get fine-grained status updates for a fine-tune job. - * @param {string} fineTuneId The ID of the fine-tune job to get events for. - * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a `data: [DONE]` message when the job is finished (succeeded, cancelled, or failed). If set to false, only events generated so far will be returned. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - listFineTuneEvents(fineTuneId, stream, options) { - return exports.OpenAIApiFp(this.configuration).listFineTuneEvents(fineTuneId, stream, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary List your organization\'s fine-tuning jobs - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - listFineTunes(options) { - return exports.OpenAIApiFp(this.configuration).listFineTunes(options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability. - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - listModels(options) { - return exports.OpenAIApiFp(this.configuration).listModels(options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Retrieves a model instance, providing basic information about it such as the owner and availability. - * @param {string} engineId The ID of the engine to use for this request - * @param {*} [options] Override http request option. - * @deprecated - * @throws {RequiredError} - * @memberof OpenAIApi - */ - retrieveEngine(engineId, options) { - return exports.OpenAIApiFp(this.configuration).retrieveEngine(engineId, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Returns information about a specific file. - * @param {string} fileId The ID of the file to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - retrieveFile(fileId, options) { - return exports.OpenAIApiFp(this.configuration).retrieveFile(fileId, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Gets info about the fine-tune job. [Learn more about Fine-tuning](/docs/guides/fine-tuning) - * @param {string} fineTuneId The ID of the fine-tune job - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - retrieveFineTune(fineTuneId, options) { - return exports.OpenAIApiFp(this.configuration).retrieveFineTune(fineTuneId, options).then((request) => request(this.axios, this.basePath)); - } - /** - * - * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning. - * @param {string} model The ID of the model to use for this request - * @param {*} [options] Override http request option. - * @throws {RequiredError} - * @memberof OpenAIApi - */ - retrieveModel(model, options) { - return exports.OpenAIApiFp(this.configuration).retrieveModel(model, options).then((request) => request(this.axios, this.basePath)); - } -} -exports.OpenAIApi = OpenAIApi; diff --git a/dist/base.d.ts b/dist/base.d.ts deleted file mode 100644 index 944352353..000000000 --- a/dist/base.d.ts +++ /dev/null @@ -1,55 +0,0 @@ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.1.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ -import { Configuration } from "./configuration"; -import { AxiosInstance, AxiosRequestConfig } from 'axios'; -export declare const BASE_PATH: string; -/** - * - * @export - */ -export declare const COLLECTION_FORMATS: { - csv: string; - ssv: string; - tsv: string; - pipes: string; -}; -/** - * - * @export - * @interface RequestArgs - */ -export interface RequestArgs { - url: string; - options: AxiosRequestConfig; -} -/** - * - * @export - * @class BaseAPI - */ -export declare class BaseAPI { - protected basePath: string; - protected axios: AxiosInstance; - protected configuration: Configuration | undefined; - constructor(configuration?: Configuration, basePath?: string, axios?: AxiosInstance); -} -/** - * - * @export - * @class RequiredError - * @extends {Error} - */ -export declare class RequiredError extends Error { - field: string; - name: "RequiredError"; - constructor(field: string, msg?: string); -} diff --git a/dist/base.js b/dist/base.js deleted file mode 100644 index a87b90b28..000000000 --- a/dist/base.js +++ /dev/null @@ -1,61 +0,0 @@ -"use strict"; -/* tslint:disable */ -/* eslint-disable */ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.1.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ -Object.defineProperty(exports, "__esModule", { value: true }); -exports.RequiredError = exports.BaseAPI = exports.COLLECTION_FORMATS = exports.BASE_PATH = void 0; -// Some imports not used depending on template conditions -// @ts-ignore -const axios_1 = require("axios"); -exports.BASE_PATH = "https://api.openai.com/v1".replace(/\/+$/, ""); -/** - * - * @export - */ -exports.COLLECTION_FORMATS = { - csv: ",", - ssv: " ", - tsv: "\t", - pipes: "|", -}; -/** - * - * @export - * @class BaseAPI - */ -class BaseAPI { - constructor(configuration, basePath = exports.BASE_PATH, axios = axios_1.default) { - this.basePath = basePath; - this.axios = axios; - if (configuration) { - this.configuration = configuration; - this.basePath = configuration.basePath || this.basePath; - } - } -} -exports.BaseAPI = BaseAPI; -; -/** - * - * @export - * @class RequiredError - * @extends {Error} - */ -class RequiredError extends Error { - constructor(field, msg) { - super(msg); - this.field = field; - this.name = "RequiredError"; - } -} -exports.RequiredError = RequiredError; diff --git a/dist/common.d.ts b/dist/common.d.ts deleted file mode 100644 index 520dd4105..000000000 --- a/dist/common.d.ts +++ /dev/null @@ -1,65 +0,0 @@ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.1.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ -import { Configuration } from "./configuration"; -import { RequestArgs } from "./base"; -import { AxiosInstance, AxiosResponse } from 'axios'; -/** - * - * @export - */ -export declare const DUMMY_BASE_URL = "https://example.com/"; -/** - * - * @throws {RequiredError} - * @export - */ -export declare const assertParamExists: (functionName: string, paramName: string, paramValue: unknown) => void; -/** - * - * @export - */ -export declare const setApiKeyToObject: (object: any, keyParamName: string, configuration?: Configuration) => Promise; -/** - * - * @export - */ -export declare const setBasicAuthToObject: (object: any, configuration?: Configuration) => void; -/** - * - * @export - */ -export declare const setBearerAuthToObject: (object: any, configuration?: Configuration) => Promise; -/** - * - * @export - */ -export declare const setOAuthToObject: (object: any, name: string, scopes: string[], configuration?: Configuration) => Promise; -/** - * - * @export - */ -export declare const setSearchParams: (url: URL, ...objects: any[]) => void; -/** - * - * @export - */ -export declare const serializeDataIfNeeded: (value: any, requestOptions: any, configuration?: Configuration) => any; -/** - * - * @export - */ -export declare const toPathString: (url: URL) => string; -/** - * - * @export - */ -export declare const createRequestFunction: (axiosArgs: RequestArgs, globalAxios: AxiosInstance, BASE_PATH: string, configuration?: Configuration) => >(axios?: AxiosInstance, basePath?: string) => Promise; diff --git a/dist/common.js b/dist/common.js deleted file mode 100644 index 51c19753c..000000000 --- a/dist/common.js +++ /dev/null @@ -1,149 +0,0 @@ -"use strict"; -/* tslint:disable */ -/* eslint-disable */ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.1.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ -var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) { - function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); } - return new (P || (P = Promise))(function (resolve, reject) { - function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } } - function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } } - function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); } - step((generator = generator.apply(thisArg, _arguments || [])).next()); - }); -}; -Object.defineProperty(exports, "__esModule", { value: true }); -exports.createRequestFunction = exports.toPathString = exports.serializeDataIfNeeded = exports.setSearchParams = exports.setOAuthToObject = exports.setBearerAuthToObject = exports.setBasicAuthToObject = exports.setApiKeyToObject = exports.assertParamExists = exports.DUMMY_BASE_URL = void 0; -const base_1 = require("./base"); -/** - * - * @export - */ -exports.DUMMY_BASE_URL = 'https://example.com/'; -/** - * - * @throws {RequiredError} - * @export - */ -exports.assertParamExists = function (functionName, paramName, paramValue) { - if (paramValue === null || paramValue === undefined) { - throw new base_1.RequiredError(paramName, `Required parameter ${paramName} was null or undefined when calling ${functionName}.`); - } -}; -/** - * - * @export - */ -exports.setApiKeyToObject = function (object, keyParamName, configuration) { - return __awaiter(this, void 0, void 0, function* () { - if (configuration && configuration.apiKey) { - const localVarApiKeyValue = typeof configuration.apiKey === 'function' - ? yield configuration.apiKey(keyParamName) - : yield configuration.apiKey; - object[keyParamName] = localVarApiKeyValue; - } - }); -}; -/** - * - * @export - */ -exports.setBasicAuthToObject = function (object, configuration) { - if (configuration && (configuration.username || configuration.password)) { - object["auth"] = { username: configuration.username, password: configuration.password }; - } -}; -/** - * - * @export - */ -exports.setBearerAuthToObject = function (object, configuration) { - return __awaiter(this, void 0, void 0, function* () { - if (configuration && configuration.accessToken) { - const accessToken = typeof configuration.accessToken === 'function' - ? yield configuration.accessToken() - : yield configuration.accessToken; - object["Authorization"] = "Bearer " + accessToken; - } - }); -}; -/** - * - * @export - */ -exports.setOAuthToObject = function (object, name, scopes, configuration) { - return __awaiter(this, void 0, void 0, function* () { - if (configuration && configuration.accessToken) { - const localVarAccessTokenValue = typeof configuration.accessToken === 'function' - ? yield configuration.accessToken(name, scopes) - : yield configuration.accessToken; - object["Authorization"] = "Bearer " + localVarAccessTokenValue; - } - }); -}; -function setFlattenedQueryParams(urlSearchParams, parameter, key = "") { - if (typeof parameter === "object") { - if (Array.isArray(parameter)) { - parameter.forEach(item => setFlattenedQueryParams(urlSearchParams, item, key)); - } - else { - Object.keys(parameter).forEach(currentKey => setFlattenedQueryParams(urlSearchParams, parameter[currentKey], `${key}${key !== '' ? '.' : ''}${currentKey}`)); - } - } - else { - if (urlSearchParams.has(key)) { - urlSearchParams.append(key, parameter); - } - else { - urlSearchParams.set(key, parameter); - } - } -} -/** - * - * @export - */ -exports.setSearchParams = function (url, ...objects) { - const searchParams = new URLSearchParams(url.search); - setFlattenedQueryParams(searchParams, objects); - url.search = searchParams.toString(); -}; -/** - * - * @export - */ -exports.serializeDataIfNeeded = function (value, requestOptions, configuration) { - const nonString = typeof value !== 'string'; - const needsSerialization = nonString && configuration && configuration.isJsonMime - ? configuration.isJsonMime(requestOptions.headers['Content-Type']) - : nonString; - return needsSerialization - ? JSON.stringify(value !== undefined ? value : {}) - : (value || ""); -}; -/** - * - * @export - */ -exports.toPathString = function (url) { - return url.pathname + url.search + url.hash; -}; -/** - * - * @export - */ -exports.createRequestFunction = function (axiosArgs, globalAxios, BASE_PATH, configuration) { - return (axios = globalAxios, basePath = BASE_PATH) => { - const axiosRequestArgs = Object.assign(Object.assign({}, axiosArgs.options), { url: ((configuration === null || configuration === void 0 ? void 0 : configuration.basePath) || basePath) + axiosArgs.url }); - return axios.request(axiosRequestArgs); - }; -}; diff --git a/dist/configuration.d.ts b/dist/configuration.d.ts deleted file mode 100644 index f070ca8f9..000000000 --- a/dist/configuration.d.ts +++ /dev/null @@ -1,91 +0,0 @@ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.1.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ -export interface ConfigurationParameters { - apiKey?: string | Promise | ((name: string) => string) | ((name: string) => Promise); - organization?: string; - username?: string; - password?: string; - accessToken?: string | Promise | ((name?: string, scopes?: string[]) => string) | ((name?: string, scopes?: string[]) => Promise); - basePath?: string; - baseOptions?: any; - formDataCtor?: new () => any; -} -export declare class Configuration { - /** - * parameter for apiKey security - * @param name security name - * @memberof Configuration - */ - apiKey?: string | Promise | ((name: string) => string) | ((name: string) => Promise); - /** - * OpenAI organization id - * - * @type {string} - * @memberof Configuration - */ - organization?: string; - /** - * parameter for basic security - * - * @type {string} - * @memberof Configuration - */ - username?: string; - /** - * parameter for basic security - * - * @type {string} - * @memberof Configuration - */ - password?: string; - /** - * parameter for oauth2 security - * @param name security name - * @param scopes oauth2 scope - * @memberof Configuration - */ - accessToken?: string | Promise | ((name?: string, scopes?: string[]) => string) | ((name?: string, scopes?: string[]) => Promise); - /** - * override base path - * - * @type {string} - * @memberof Configuration - */ - basePath?: string; - /** - * base options for axios calls - * - * @type {any} - * @memberof Configuration - */ - baseOptions?: any; - /** - * The FormData constructor that will be used to create multipart form data - * requests. You can inject this here so that execution environments that - * do not support the FormData class can still run the generated client. - * - * @type {new () => FormData} - */ - formDataCtor?: new () => any; - constructor(param?: ConfigurationParameters); - /** - * Check if the given MIME is a JSON MIME. - * JSON MIME examples: - * application/json - * application/json; charset=UTF8 - * APPLICATION/JSON - * application/vnd.company+json - * @param mime - MIME (Multipurpose Internet Mail Extensions) - * @return True if the given MIME is JSON, false otherwise. - */ - isJsonMime(mime: string): boolean; -} diff --git a/dist/configuration.js b/dist/configuration.js deleted file mode 100644 index 7ee24fa34..000000000 --- a/dist/configuration.js +++ /dev/null @@ -1,54 +0,0 @@ -"use strict"; -/* tslint:disable */ -/* eslint-disable */ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.1.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ -Object.defineProperty(exports, "__esModule", { value: true }); -exports.Configuration = void 0; -const packageJson = require("../package.json"); -class Configuration { - constructor(param = {}) { - this.apiKey = param.apiKey; - this.organization = param.organization; - this.username = param.username; - this.password = param.password; - this.accessToken = param.accessToken; - this.basePath = param.basePath; - this.baseOptions = param.baseOptions; - this.formDataCtor = param.formDataCtor; - if (!this.baseOptions) { - this.baseOptions = {}; - } - this.baseOptions.headers = Object.assign({ 'User-Agent': `OpenAI/NodeJS/${packageJson.version}`, 'Authorization': `Bearer ${this.apiKey}` }, this.baseOptions.headers); - if (this.organization) { - this.baseOptions.headers['OpenAI-Organization'] = this.organization; - } - if (!this.formDataCtor) { - this.formDataCtor = require("form-data"); - } - } - /** - * Check if the given MIME is a JSON MIME. - * JSON MIME examples: - * application/json - * application/json; charset=UTF8 - * APPLICATION/JSON - * application/vnd.company+json - * @param mime - MIME (Multipurpose Internet Mail Extensions) - * @return True if the given MIME is JSON, false otherwise. - */ - isJsonMime(mime) { - const jsonMime = new RegExp('^(application\/json|[^;/ \t]+\/[^;/ \t]+[+]json)[ \t]*(;.*)?$', 'i'); - return mime !== null && (jsonMime.test(mime) || mime.toLowerCase() === 'application/json-patch+json'); - } -} -exports.Configuration = Configuration; diff --git a/dist/index.d.ts b/dist/index.d.ts deleted file mode 100644 index e8fe57ea3..000000000 --- a/dist/index.d.ts +++ /dev/null @@ -1,13 +0,0 @@ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.1.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ -export * from "./api"; -export * from "./configuration"; diff --git a/dist/index.js b/dist/index.js deleted file mode 100644 index 87443b1ba..000000000 --- a/dist/index.js +++ /dev/null @@ -1,27 +0,0 @@ -"use strict"; -/* tslint:disable */ -/* eslint-disable */ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.1.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ -var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) { - if (k2 === undefined) k2 = k; - Object.defineProperty(o, k2, { enumerable: true, get: function() { return m[k]; } }); -}) : (function(o, m, k, k2) { - if (k2 === undefined) k2 = k; - o[k2] = m[k]; -})); -var __exportStar = (this && this.__exportStar) || function(m, exports) { - for (var p in m) if (p !== "default" && !exports.hasOwnProperty(p)) __createBinding(exports, m, p); -}; -Object.defineProperty(exports, "__esModule", { value: true }); -__exportStar(require("./api"), exports); -__exportStar(require("./configuration"), exports); diff --git a/ecosystem-tests/bun/.gitignore b/ecosystem-tests/bun/.gitignore new file mode 100644 index 000000000..f81d56eaa --- /dev/null +++ b/ecosystem-tests/bun/.gitignore @@ -0,0 +1,169 @@ +# Based on https://raw.githubusercontent.com/github/gitignore/main/Node.gitignore + +# Logs + +logs +_.log +npm-debug.log_ +yarn-debug.log* +yarn-error.log* +lerna-debug.log* +.pnpm-debug.log* + +# Diagnostic reports (https://nodejs.org/api/report.html) + +report.[0-9]_.[0-9]_.[0-9]_.[0-9]_.json + +# Runtime data + +pids +_.pid +_.seed +\*.pid.lock + +# Directory for instrumented libs generated by jscoverage/JSCover + +lib-cov + +# Coverage directory used by tools like istanbul + +coverage +\*.lcov + +# nyc test coverage + +.nyc_output + +# Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files) + +.grunt + +# Bower dependency directory (https://bower.io/) + +bower_components + +# node-waf configuration + +.lock-wscript + +# Compiled binary addons (https://nodejs.org/api/addons.html) + +build/Release + +# Dependency directories + +node_modules/ +jspm_packages/ + +# Snowpack dependency directory (https://snowpack.dev/) + +web_modules/ + +# TypeScript cache + +\*.tsbuildinfo + +# Optional npm cache directory + +.npm + +# Optional eslint cache + +.eslintcache + +# Optional stylelint cache + +.stylelintcache + +# Microbundle cache + +.rpt2_cache/ +.rts2_cache_cjs/ +.rts2_cache_es/ +.rts2_cache_umd/ + +# Optional REPL history + +.node_repl_history + +# Output of 'npm pack' + +\*.tgz + +# Yarn Integrity file + +.yarn-integrity + +# dotenv environment variable files + +.env +.env.development.local +.env.test.local +.env.production.local +.env.local + +# parcel-bundler cache (https://parceljs.org/) + +.cache +.parcel-cache + +# Next.js build output + +.next +out + +# Nuxt.js build / generate output + +.nuxt +dist + +# Gatsby files + +.cache/ + +# Comment in the public line in if your project uses Gatsby and not Next.js + +# https://nextjs.org/blog/next-9-1#public-directory-support + +# public + +# vuepress build output + +.vuepress/dist + +# vuepress v2.x temp and cache directory + +.temp +.cache + +# Docusaurus cache and generated files + +.docusaurus + +# Serverless directories + +.serverless/ + +# FuseBox cache + +.fusebox/ + +# DynamoDB Local files + +.dynamodb/ + +# TernJS port file + +.tern-port + +# Stores VSCode versions used for testing VSCode extensions + +.vscode-test + +# yarn v2 + +.yarn/cache +.yarn/unplugged +.yarn/build-state.yml +.yarn/install-state.gz +.pnp.\* diff --git a/ecosystem-tests/bun/README.md b/ecosystem-tests/bun/README.md new file mode 100644 index 000000000..05f68e2ca --- /dev/null +++ b/ecosystem-tests/bun/README.md @@ -0,0 +1,13 @@ +# openai-bun-test + +To install dependencies: + +```bash +bun install +``` + +To run: + +```bash +bun run index.ts +``` diff --git a/ecosystem-tests/bun/bun.lockb b/ecosystem-tests/bun/bun.lockb new file mode 100755 index 000000000..4ece80c92 Binary files /dev/null and b/ecosystem-tests/bun/bun.lockb differ diff --git a/ecosystem-tests/bun/openai.test.ts b/ecosystem-tests/bun/openai.test.ts new file mode 100644 index 000000000..979a4962f --- /dev/null +++ b/ecosystem-tests/bun/openai.test.ts @@ -0,0 +1,168 @@ +import OpenAI, { toFile } from 'openai'; +import fs from 'fs'; +import { distance } from 'fastest-levenshtein'; +import { test, expect } from 'bun:test'; +import { ChatCompletion } from 'openai/resources/chat/completions'; + +const url = 'https://audio-samples.github.io/samples/mp3/blizzard_biased/sample-1.mp3'; +const filename = 'sample-1.mp3'; + +const correctAnswer = + 'It was anxious to find him no one that expectation of a man who were giving his father enjoyment. But he was avoided in sight in the minister to which indeed,'; +const model = 'whisper-1'; + +const client = new OpenAI(); + +async function typeTests() { + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: { foo: true }, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: null, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: 'test', model: 'whisper-1' }); +} + +function expectSimilar(received: any, comparedTo: string, expectedDistance: number) { + const message = () => + [ + `Received: ${JSON.stringify(received)}`, + `Expected: ${JSON.stringify(comparedTo)}`, + `Expected distance: ${expectedDistance}`, + `Received distance: ${actualDistance}`, + ].join('\n'); + + const actualDistance = distance(received, comparedTo); + expect(actualDistance).toBeLessThan(expectedDistance); +} + +test(`basic request works`, async function () { + const completion = await client.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + }); + expectSimilar(completion.choices[0]?.message?.content, 'This is a test', 10); +}); + +test(`raw response`, async function () { + const response = await client.chat.completions + .create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + }) + .asResponse(); + + // test that we can use web Response API + const { body } = response; + if (!body) throw new Error('expected response.body to be defined'); + + const reader = body.getReader(); + const chunks: Uint8Array[] = []; + let result; + do { + result = await reader.read(); + if (!result.done) chunks.push(result.value); + } while (!result.done); + + reader.releaseLock(); + + let offset = 0; + const merged = new Uint8Array(chunks.reduce((total, chunk) => total + chunk.length, 0)); + for (const chunk of chunks) { + merged.set(chunk, offset); + offset += chunk.length; + } + + const json: ChatCompletion = JSON.parse(new TextDecoder().decode(merged)); + expectSimilar(json.choices[0]?.message.content || '', 'This is a test', 10); +}); + +test(`streaming works`, async function () { + const stream = await client.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + stream: true, + }); + const chunks = []; + for await (const part of stream) { + chunks.push(part); + } + expectSimilar(chunks.map((c) => c.choices[0]?.delta.content || '').join(''), 'This is a test', 10); +}); + +// @ts-ignore avoid DOM lib for testing purposes +if (typeof File !== 'undefined') { + test('handles builtinFile', async function () { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + // @ts-ignore avoid DOM lib for testing purposes + .then((x) => new File([x], filename)); + + const result = await client.audio.transcriptions.create({ file, model }); + expectSimilar(result.text, correctAnswer, 12); + }); +} + +test('handles Response', async function () { + const file = await fetch(url); + + const result = await client.audio.transcriptions.create({ file, model }); + expectSimilar(result.text, correctAnswer, 12); +}); + +test('handles fs.ReadStream', async function () { + const result = await client.audio.transcriptions.create({ + file: fs.createReadStream('sample1.mp3'), + model, + }); + expectSimilar(result.text, correctAnswer, 12); +}); + +const fineTune = `{"prompt": "", "completion": ""}`; + +// @ts-ignore avoid DOM lib for testing purposes +if (typeof Blob !== 'undefined') { + test('toFile handles builtin Blob', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new Blob([new TextEncoder().encode(fineTune)]), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); +} +test('toFile handles Uint8Array', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new TextEncoder().encode(fineTune), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); +}); +test('toFile handles ArrayBuffer', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new TextEncoder().encode(fineTune).buffer, + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); +}); +test('toFile handles DataView', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new DataView(new TextEncoder().encode(fineTune).buffer), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); +}); diff --git a/ecosystem-tests/bun/package.json b/ecosystem-tests/bun/package.json new file mode 100644 index 000000000..5a75b1eb2 --- /dev/null +++ b/ecosystem-tests/bun/package.json @@ -0,0 +1,16 @@ +{ + "name": "openai-bun-test", + "module": "index.ts", + "type": "module", + "engines": { + "bun": ">=1.0.0" + }, + "scripts": { + "tsc": "tsc" + }, + "devDependencies": { + "fastest-levenshtein": "^1.0.16", + "bun-types": "latest", + "typescript": "5.0.4" + } +} diff --git a/ecosystem-tests/bun/sample1.mp3 b/ecosystem-tests/bun/sample1.mp3 new file mode 100644 index 000000000..1e787cd7c Binary files /dev/null and b/ecosystem-tests/bun/sample1.mp3 differ diff --git a/ecosystem-tests/bun/tsconfig.json b/ecosystem-tests/bun/tsconfig.json new file mode 100644 index 000000000..69a17ce99 --- /dev/null +++ b/ecosystem-tests/bun/tsconfig.json @@ -0,0 +1,22 @@ +{ + "include": ["*.ts"], + "compilerOptions": { + "lib": ["ESNext"], + "module": "esnext", + "target": "esnext", + "moduleResolution": "bundler", + "moduleDetection": "force", + "allowImportingTsExtensions": true, + "strict": true, + "downlevelIteration": true, + "skipLibCheck": false, + "jsx": "preserve", + "allowSyntheticDefaultImports": true, + "forceConsistentCasingInFileNames": true, + "allowJs": true, + "noEmit": true, + "types": [ + "bun-types" // add Bun global + ] + } +} diff --git a/ecosystem-tests/cli.ts b/ecosystem-tests/cli.ts new file mode 100644 index 000000000..77faddec5 --- /dev/null +++ b/ecosystem-tests/cli.ts @@ -0,0 +1,636 @@ +import fs from 'fs/promises'; +import execa from 'execa'; +import yargs from 'yargs'; +import assert from 'assert'; +import path from 'path'; + +const TAR_NAME = 'openai.tgz'; +const PACK_FOLDER = '.pack'; +const PACK_FILE = `${PACK_FOLDER}/${TAR_NAME}`; +const IS_CI = Boolean(process.env['CI'] && process.env['CI'] !== 'false'); + +async function defaultNodeRunner() { + await installPackage(); + await run('npm', ['run', 'tsc']); + if (state.live) { + await run('npm', ['test']); + } +} + +const projectRunners = { + 'node-ts-cjs': defaultNodeRunner, + 'node-ts-cjs-web': defaultNodeRunner, + 'node-ts-cjs-auto': defaultNodeRunner, + 'node-ts4.5-jest27': defaultNodeRunner, + 'node-ts-esm': defaultNodeRunner, + 'node-ts-esm-web': defaultNodeRunner, + 'node-ts-esm-auto': defaultNodeRunner, + 'node-ts-es2020': async () => { + await installPackage(); + await run('npm', ['run', 'tsc']); + await run('npm', ['run', 'main']); + }, + 'node-js': async () => { + await installPackage(); + await run('node', ['test.js']); + }, + 'nodenext-tsup': async () => { + await installPackage(); + await run('npm', ['run', 'build']); + + if (state.live) { + await run('npm', ['run', 'main']); + } + }, + 'ts-browser-webpack': async () => { + await installPackage(); + + await run('npm', ['run', 'tsc']); + await run('npm', ['run', 'build']); + + if (state.live) { + await run('npm', ['run', 'test:ci']); + } + }, + 'vercel-edge': async () => { + await installPackage(); + + if (state.live) { + await run('npm', ['run', 'test:ci:dev']); + } + await run('npm', ['run', 'build']); + + if (state.live) { + await run('npm', ['run', 'test:ci']); + } + if (state.deploy) { + await run('npm', ['run', 'vercel', 'deploy', '--prod', '--force']); + } + }, + 'cloudflare-worker': async () => { + await installPackage(); + + await fs.writeFile('.dev.vars', `OPENAI_API_KEY='${process.env['OPENAI_API_KEY']}'`); + await run('npm', ['run', 'tsc']); + + if (state.live) { + await run('npm', ['run', 'test:ci']); + } + if (state.deploy) { + await run('npm', ['run', 'deploy']); + } + }, + bun: async () => { + if (state.fromNpm) { + await run('bun', ['install', '-D', state.fromNpm]); + return; + } + + const packFile = getPackFile(); + await fs.copyFile(packFile, `./${TAR_NAME}`); + await run('bun', ['install', '-D', `./${TAR_NAME}`]); + + await run('npm', ['run', 'tsc']); + + if (state.live) { + await run('bun', ['test']); + } + }, + deno: async () => { + // we don't need to explicitly install the package here + // because our deno setup relies on `rootDir/dist-deno` to exist + // which is an artifact produced from our build process + await run('deno', ['task', 'install', '--unstable-sloppy-imports']); + + if (state.live) await run('deno', ['task', 'test']); + }, +}; + +let projectNames = Object.keys(projectRunners) as Array; +const projectNamesSet = new Set(projectNames); + +function parseArgs() { + return yargs(process.argv.slice(2)) + .scriptName('ecosystem-tests') + .usage('run tests using various different project setups') + + .positional('projects', { + type: 'string', + array: true, + choices: projectNames, + }) + + .options({ + verbose: { + type: 'boolean', + default: false, + }, + skip: { + type: 'array', + default: [], + description: 'Skip one or more projects. Separate project names with a space.', + }, + skipPack: { + type: 'boolean', + default: false, + }, + fromNpm: { + type: 'string', + description: 'Test installing from a given NPM package instead of the local package', + }, + live: { + type: 'boolean', + default: false, + description: 'Make live API requests', + }, + deploy: { + type: 'boolean', + default: false, + description: 'Push projects to live servers', + }, + jobs: { + type: 'number', + default: 1, + description: 'number of parallel jobs to run', + }, + retry: { + type: 'number', + default: 0, + description: 'number of times to retry failing jobs', + }, + retryDelay: { + type: 'number', + default: 1000, + description: 'delay between retries in ms', + }, + parallel: { + type: 'boolean', + default: false, + description: 'run all projects in parallel (jobs = # projects)', + }, + noCleanup: { + type: 'boolean', + default: false, + }, + }) + .help().argv; +} + +type Args = Awaited>; + +let state: Args & { rootDir: string }; + +async function main() { + if (!process.env['OPENAI_API_KEY']) { + console.error(`Error: The environment variable OPENAI_API_KEY must be set. Run the command + $echo 'OPENAI_API_KEY = "'"\${OPENAI_API_KEY}"'"' >> ecosystem-tests/cloudflare-worker/wrangler.toml`); + process.exit(0); + } + + const args = (await parseArgs()) as Args; + console.error(`args:`, args); + + // Some projects, e.g. Deno can be slow to run, so offer the option to skip them. Example: + // --skip=deno node-ts-cjs + if (args.skip.length > 0) { + args.skip.forEach((projectName, idx) => { + // Ensure the inputted project name is lower case + args.skip[idx] = (projectName + '').toLowerCase(); + }); + + projectNames = projectNames.filter((projectName) => (args.skip as string[]).indexOf(projectName) < 0); + + args.skip.forEach((projectName) => { + projectNamesSet.delete(projectName as any); + }); + } + + const tmpFolderPath = path.resolve(process.cwd(), 'tmp'); + + const rootDir = await packageDir(); + console.error(`rootDir:`, rootDir); + + state = { ...args, rootDir }; + + process.chdir(rootDir); + + if (!args.skipPack) { + await buildPackage(); + } + + const positionalArgs = args._.filter(Boolean); + + // For some reason `yargs` doesn't pick up the positional args correctly + const projectsToRun = ( + args.projects?.length ? args.projects + : positionalArgs.length ? + positionalArgs.filter((n) => typeof n === 'string' && (projectNamesSet as Set).has(n)) + : projectNames) as typeof projectNames; + console.error(`running projects: ${projectsToRun}`); + + const failed: typeof projectNames = []; + + let cleanupWasRun = false; + + // Cleanup the various artifacts created as part of executing this script + async function runCleanup() { + if (cleanupWasRun) { + return; + } + cleanupWasRun = true; + + // Restore the original files in the ecosystem-tests folders from before + // npm install was run + await fileCache.restoreFiles(tmpFolderPath); + + const packFolderPath = path.join(process.cwd(), PACK_FOLDER); + + try { + // Clean up the .pack folder if this was the process that created it. + await fs.unlink(PACK_FILE); + await fs.rmdir(packFolderPath); + } catch (err) { + console.log('Failed to delete .pack folder', err); + } + + for (let i = 0; i < projectNames.length; i++) { + const projectName = (projectNames as any)[i] as string; + + await defaultNodeCleanup(projectName).catch((err: any) => { + console.error('Error: Cleanup of file artifacts failed for project', projectName, err); + }); + } + } + + async function runCleanupAndExit() { + await runCleanup(); + + process.exit(1); + } + + if (!(await fileExists(tmpFolderPath))) { + await fs.mkdir(tmpFolderPath); + } + + let { jobs } = args; + if (args.parallel) { + jobs = projectsToRun.length; + } + + if (!args.noCleanup) { + // The cleanup code is only executed from the parent script that runs + // multiple projects. + process.on('SIGINT', runCleanupAndExit); + process.on('SIGTERM', runCleanupAndExit); + process.on('exit', runCleanup); + + await fileCache.cacheFiles(tmpFolderPath); + } + + if (jobs > 1) { + const queue = [...projectsToRun]; + const runningProjects = new Set(); + + const cursorLeft = '\x1B[G'; + const eraseLine = '\x1B[2K'; + + let progressDisplayed = false; + function clearProgress() { + if (progressDisplayed) { + process.stderr.write(cursorLeft + eraseLine); + progressDisplayed = false; + } + } + const spinner = ['|', '/', '-', '\\']; + + function showProgress() { + clearProgress(); + progressDisplayed = true; + const spin = spinner[Math.floor(Date.now() / 500) % spinner.length]; + process.stderr.write( + `${spin} Running ${[...runningProjects].join(', ')}`.substring(0, process.stdout.columns - 3) + '...', + ); + } + + const progressInterval = setInterval(showProgress, process.stdout.isTTY ? 500 : 5000); + showProgress(); + + await Promise.all( + [...Array(jobs).keys()].map(async () => { + while (queue.length) { + const project = queue.shift(); + if (!project) { + break; + } + + // preserve interleaved ordering of writes to stdout/stderr + const chunks: { dest: 'stdout' | 'stderr'; data: string | Buffer }[] = []; + try { + runningProjects.add(project); + const child = execa( + 'yarn', + [ + 'tsn', + __filename, + project, + '--skip-pack', + '--noCleanup', + `--retry=${args.retry}`, + ...(args.live ? ['--live'] : []), + ...(args.verbose ? ['--verbose'] : []), + ...(args.deploy ? ['--deploy'] : []), + ...(args.fromNpm ? ['--from-npm'] : []), + ], + { stdio: 'pipe', encoding: 'utf8', maxBuffer: 100 * 1024 * 1024 }, + ); + child.stdout?.on('data', (data) => chunks.push({ dest: 'stdout', data })); + child.stderr?.on('data', (data) => chunks.push({ dest: 'stderr', data })); + + await child; + } catch (error) { + failed.push(project); + } finally { + runningProjects.delete(project); + } + + if (IS_CI) { + console.log(`::group::${failed.includes(project) ? '❌' : '✅'} ${project}`); + } + + for (const { data } of chunks) { + process.stdout.write(data); + } + if (IS_CI) console.log('::endgroup::'); + } + }), + ); + + clearInterval(progressInterval); + clearProgress(); + } else { + for (const project of projectsToRun) { + const fn = projectRunners[project]; + + await withChdir(path.join(rootDir, 'ecosystem-tests', project), async () => { + console.error('\n'); + console.error(banner(`▶️ ${project}`)); + console.error('\n'); + + try { + await withRetry(fn, project, state.retry, state.retryDelay); + console.error('\n'); + console.error(`✅ ${project}`); + } catch (err) { + if (err && (err as any).shortMessage) { + console.error((err as any).shortMessage); + } else { + console.error(err); + } + console.error('\n'); + console.error(`❌ ${project}`); + failed.push(project); + } + console.error('\n'); + }); + } + } + + if (!args.noCleanup) { + await runCleanup(); + } + + if (failed.length) { + console.error(`${failed.length} project(s) failed - ${failed.join(', ')}`); + process.exit(1); + } + console.error(); + process.exit(0); +} + +async function withRetry( + fn: () => Promise, + identifier: string, + retryAmount: number, + retryDelayMs: number, +): Promise { + do { + try { + return await fn(); + } catch (err) { + if (--retryAmount <= 0) throw err; + console.error( + `${identifier} failed due to ${err}; retries left ${retryAmount}, next retry in ${retryDelayMs}ms`, + ); + await new Promise((resolve) => setTimeout(resolve, retryDelayMs)); + } + } while (retryAmount > 0); +} + +function centerPad(text: string, width = text.length, char = ' '): string { + return text.padStart(Math.floor((width + text.length) / 2), char).padEnd(width, char); +} + +function banner(name: string, width = 80): string { + function line(text = ''): string { + if (text) text = centerPad(text, width - 40); + return centerPad(text, width, '/'); + } + return [line(), line(), line(' '), line(name), line(' '), line(), line()].join('\n'); +} + +module.exports = banner; + +async function buildPackage() { + if (state.fromNpm) { + return; + } + + if (!(await pathExists(PACK_FOLDER))) { + await fs.mkdir(PACK_FOLDER); + } + + // Run our build script to ensure all of our build artifacts are up to date. + // This matters the most for deno as it directly relies on build artifacts + // instead of the pack file + await run('yarn', ['build']); + + const proc = await run('npm', ['pack', '--ignore-scripts', '--json'], { + cwd: path.join(process.cwd(), 'dist'), + alwaysPipe: true, + }); + + const pack = JSON.parse(proc.stdout); + assert(Array.isArray(pack), `Expected pack output to be an array but got ${typeof pack}`); + assert(pack.length === 1, `Expected pack output to be an array of length 1 but got ${pack.length}`); + + const filename = path.join('dist', (pack[0] as any).filename); + console.error({ filename }); + + await fs.rename(filename, PACK_FILE); + console.error(`Successfully created tarball at ${PACK_FILE}`); +} + +async function installPackage() { + if (state.fromNpm) { + await run('npm', ['install', '-D', state.fromNpm]); + return; + } + + try { + // Ensure that there is a clean node_modules folder. + await run('rm', ['-rf', `./node_modules`]); + } catch (err) {} + + const packFile = getPackFile(); + await fs.copyFile(packFile, `./${TAR_NAME}`); + return await run('npm', ['install', '-D', `./${TAR_NAME}`]); +} + +function getPackFile() { + return path.relative(process.cwd(), path.join(state.rootDir, PACK_FILE)); +} + +// ------------------ helpers ------------------ + +interface RunOpts extends execa.Options { + alwaysPipe?: boolean; +} + +async function run(command: string, args: string[], config?: RunOpts): Promise { + if (state.verbose && !config?.alwaysPipe) { + config = { ...config, stdio: 'inherit' }; + } + + console.debug('[run]:', command, ...args); + try { + return await execa(command, args, config); + } catch (error) { + if (error instanceof Object && !state.verbose) { + const { stderr, stdout } = error as any; + if (stderr) process.stderr.write(stderr); + if (stdout) process.stderr.write(stdout); + } + throw error; + } +} + +async function withChdir(newDir: string, fn: () => Promise): Promise { + const oldDir = process.cwd(); + + try { + process.chdir(newDir); + return await fn(); + } finally { + process.chdir(oldDir); + } +} + +function checkNever(x: never, detail: any = x): never { + // eslint-disable-next-line @typescript-eslint/restrict-template-expressions + throw new Error(`checkNever: impossible to call: ${detail}`); +} + +async function pathExists(path: string) { + try { + await fs.access(path); + return true; + } catch (error) { + return false; + } +} + +/** + * Find closest parent directory that contains a file `package.json` + */ +export const packageDir = async (): Promise => { + let currentDir = process.cwd(); + const root = path.parse(currentDir).root; + while (currentDir !== root) { + const filepath = path.resolve(currentDir, 'package.json'); + if (await pathExists(filepath)) { + return currentDir; + } + currentDir = path.resolve(currentDir, '..'); + } + + throw new Error('Package directory not found'); +}; + +// Caches files that are modified by this script, e.g. package.json, +// so that they can be restored when the script either finishes or is +// terminated +const fileCache = (() => { + const filesToCache: Array = ['package.json', 'package-lock.json', 'deno.lock', 'bun.lockb']; + + return { + // Copy existing files from each ecosystem-tests project folder to the ./tmp folder + cacheFiles: async (tmpFolderPath: string) => { + for (let i = 0; i < projectNames.length; i++) { + const projectName = (projectNames as any)[i] as string; + const projectPath = path.resolve(process.cwd(), 'ecosystem-tests', projectName); + + for (let j = 0; j < filesToCache.length; j++) { + const fileName = filesToCache[j] || ''; + + const filePath = path.resolve(projectPath, fileName); + if (await fileExists(filePath)) { + const tmpProjectPath = path.resolve(tmpFolderPath, projectName); + + if (!(await fileExists(tmpProjectPath))) { + await fs.mkdir(tmpProjectPath); + } + await fs.copyFile(filePath, path.resolve(tmpProjectPath, fileName)); + } + } + } + }, + + // Restore the original files to each ecosystem-tests project folder from the ./tmp folder + restoreFiles: async (tmpFolderPath: string) => { + for (let i = 0; i < projectNames.length; i++) { + const projectName = (projectNames as any)[i] as string; + + const projectPath = path.resolve(process.cwd(), 'ecosystem-tests', projectName); + const tmpProjectPath = path.resolve(tmpFolderPath, projectName); + + for (let j = 0; j < filesToCache.length; j++) { + const fileName = filesToCache[j] || ''; + + const filePath = path.resolve(tmpProjectPath, fileName); + if (await fileExists(filePath)) { + await fs.rename(filePath, path.resolve(projectPath, fileName)); + } + } + await fs.rmdir(tmpProjectPath); + } + }, + }; +})(); + +async function defaultNodeCleanup(projectName: string) { + try { + const projectPath = path.resolve(process.cwd(), 'ecosystem-tests', projectName); + + const packFilePath = path.resolve(projectPath, TAR_NAME); + + if (await fileExists(packFilePath)) { + await fs.unlink(packFilePath); + } + } catch (err) { + console.error('Cleanup failed for project', projectName, err); + } +} + +async function fileExists(filePath: string) { + try { + await fs.stat(filePath); + return true; + } catch { + return false; + } +} + +main().catch((err) => { + console.error(err); + process.exit(1); +}); diff --git a/ecosystem-tests/cloudflare-worker/.editorconfig b/ecosystem-tests/cloudflare-worker/.editorconfig new file mode 100644 index 000000000..64ab2601f --- /dev/null +++ b/ecosystem-tests/cloudflare-worker/.editorconfig @@ -0,0 +1,13 @@ +# http://editorconfig.org +root = true + +[*] +indent_style = tab +tab_width = 2 +end_of_line = lf +charset = utf-8 +trim_trailing_whitespace = true +insert_final_newline = true + +[*.yml] +indent_style = space diff --git a/ecosystem-tests/cloudflare-worker/.prettierrc b/ecosystem-tests/cloudflare-worker/.prettierrc new file mode 100644 index 000000000..5c7b5d3c7 --- /dev/null +++ b/ecosystem-tests/cloudflare-worker/.prettierrc @@ -0,0 +1,6 @@ +{ + "printWidth": 140, + "singleQuote": true, + "semi": true, + "useTabs": true +} diff --git a/ecosystem-tests/cloudflare-worker/jest.config.cjs b/ecosystem-tests/cloudflare-worker/jest.config.cjs new file mode 100644 index 000000000..f1f0f38aa --- /dev/null +++ b/ecosystem-tests/cloudflare-worker/jest.config.cjs @@ -0,0 +1,9 @@ +/** @type {import('ts-jest/dist/types').InitialOptionsTsJest} */ +module.exports = { + transform: {}, + testEnvironment: 'node', + testMatch: ['/tests/*.js'], + watchPathIgnorePatterns: ['/node_modules/'], + verbose: false, + testTimeout: 60000, +}; diff --git a/ecosystem-tests/cloudflare-worker/package-lock.json b/ecosystem-tests/cloudflare-worker/package-lock.json new file mode 100644 index 000000000..99d787f75 --- /dev/null +++ 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"https://github.com/sponsors/colinhacks" + } + } + } +} diff --git a/ecosystem-tests/cloudflare-worker/package.json b/ecosystem-tests/cloudflare-worker/package.json new file mode 100644 index 000000000..3034e97f7 --- /dev/null +++ b/ecosystem-tests/cloudflare-worker/package.json @@ -0,0 +1,25 @@ +{ + "name": "cfw", + "version": "0.0.0", + "private": true, + "type": "module", + "scripts": { + "tsc": "tsc && tsc -p tsconfig.check.json", + "deploy": "wrangler publish", + "start": "wrangler dev", + "test": "node --experimental-vm-modules node_modules/jest/bin/jest.js", + "test:ci": "start-server-and-test start http://localhost:8787 test" + }, + "devDependencies": { + "@cloudflare/workers-types": "^4.20230419.0", + "fastest-levenshtein": "^1.0.16", + "jest": "^29.5.0", + "start-server-and-test": "^2.0.0", + "ts-jest": "^29.1.0", + "typescript": "5.0.4", + "wrangler": "^3.85.0" + }, + "dependencies": { + "node-fetch": "^3.3.1" + } +} diff --git a/ecosystem-tests/cloudflare-worker/src/uploadWebApiTestCases.ts b/ecosystem-tests/cloudflare-worker/src/uploadWebApiTestCases.ts new file mode 100644 index 000000000..39225fb8d --- /dev/null +++ b/ecosystem-tests/cloudflare-worker/src/uploadWebApiTestCases.ts @@ -0,0 +1,146 @@ +import OpenAI, { toFile } from 'openai'; +import { TranscriptionCreateParams } from 'openai/resources/audio/transcriptions'; +import { ChatCompletion } from 'openai/resources/chat/completions'; + +/** + * Tests uploads using various Web API data objects. + * This is structured to support running these tests on builtins in the environment in + * Node or Cloudflare workers etc. or on polyfills like from node-fetch/formdata-node + */ +export function uploadWebApiTestCases({ + client, + it, + expectEqual, + expectSimilar, +}: { + /** + * OpenAI client instance + */ + client: OpenAI; + /** + * Jest it() function, or an imitation in envs like Cloudflare workers + */ + it: (desc: string, handler: () => Promise) => void; + /** + * Jest expect(a).toEqual(b) function, or an imitation in envs like Cloudflare workers + */ + expectEqual(a: unknown, b: unknown): void; + /** + * Assert that the levenshtein distance between the two given strings is less than the given max distance. + */ + expectSimilar(received: string, expected: string, maxDistance: number): void; +}) { + const url = 'https://audio-samples.github.io/samples/mp3/blizzard_biased/sample-1.mp3'; + const filename = 'sample-1.mp3'; + + const correctAnswer = + 'It was anxious to find him no one that expectation of a man who were giving his father enjoyment. But he was avoided in sight in the minister to which indeed,'; + const model = 'whisper-1'; + + async function typeTests() { + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: { foo: true }, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: null, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: 'test', model: 'whisper-1' }); + } + + it(`raw response`, async function () { + const response = await client.chat.completions + .create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + }) + .asResponse(); + + // test that we can use web Response API + const { body } = response; + if (!body) throw new Error('expected response.body to be defined'); + + const reader = body.getReader(); + const chunks: Uint8Array[] = []; + let result; + do { + result = await reader.read(); + if (!result.done) chunks.push(result.value); + } while (!result.done); + + reader.releaseLock(); + + let offset = 0; + const merged = new Uint8Array(chunks.reduce((total, chunk) => total + chunk.length, 0)); + for (const chunk of chunks) { + merged.set(chunk, offset); + offset += chunk.length; + } + + const json: ChatCompletion = JSON.parse(new TextDecoder().decode(merged)); + expectSimilar(json.choices[0]?.message.content || '', 'This is a test', 10); + }); + + it(`streaming works`, async function () { + const stream = await client.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + stream: true, + }); + const chunks = []; + for await (const part of stream) { + chunks.push(part); + } + expectSimilar(chunks.map((c) => c.choices[0]?.delta.content || '').join(''), 'This is a test', 10); + }); + + it('handles File', async () => { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + .then((x) => new File([x], filename)); + + const params: TranscriptionCreateParams = { file, model }; + + const result = await client.audio.transcriptions.create(params); + expectSimilar(result.text, correctAnswer, 12); + }); + + it('handles Response', async () => { + const file = await fetch(url); + + const result = await client.audio.transcriptions.create({ file, model }); + expectSimilar(result.text, correctAnswer, 12); + }); + + const fineTune = `{"prompt": "", "completion": ""}`; + + it('toFile handles string', async () => { + // @ts-expect-error we don't type support for `string` to avoid a footgun with passing the file path + const file = await toFile(fineTune, 'finetune.jsonl'); + const result = await client.files.create({ file, purpose: 'fine-tune' }); + expectEqual(result.filename, 'finetune.jsonl'); + }); + it('toFile handles Blob', async () => { + const result = await client.files.create({ file: await toFile(new Blob([fineTune]), 'finetune.jsonl'), purpose: 'fine-tune' }); + expectEqual(result.filename, 'finetune.jsonl'); + }); + it('toFile handles Uint8Array', async () => { + const result = await client.files.create({ + file: await toFile(new TextEncoder().encode(fineTune), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expectEqual(result.filename, 'finetune.jsonl'); + }); + it('toFile handles ArrayBuffer', async () => { + const result = await client.files.create({ + file: await toFile(new TextEncoder().encode(fineTune).buffer, 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expectEqual(result.filename, 'finetune.jsonl'); + }); + it('toFile handles DataView', async () => { + const result = await client.files.create({ + file: await toFile(new DataView(new TextEncoder().encode(fineTune).buffer), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expectEqual(result.filename, 'finetune.jsonl'); + }); +} diff --git a/ecosystem-tests/cloudflare-worker/src/worker.ts b/ecosystem-tests/cloudflare-worker/src/worker.ts new file mode 100644 index 000000000..ce2012f57 --- /dev/null +++ b/ecosystem-tests/cloudflare-worker/src/worker.ts @@ -0,0 +1,105 @@ +import { distance } from 'fastest-levenshtein'; + +/** + * Welcome to Cloudflare Workers! This is your first worker. + * + * - Run `npm run dev` in your terminal to start a development server + * - Open a browser tab at http://localhost:8787/ to see your worker in action + * - Run `npm run deploy` to publish your worker + * + * Learn more at https://developers.cloudflare.com/workers/ + */ + +export interface Env { + // Example binding to KV. Learn more at https://developers.cloudflare.com/workers/runtime-apis/kv/ + // MY_KV_NAMESPACE: KVNamespace; + // + // Example binding to Durable Object. Learn more at https://developers.cloudflare.com/workers/runtime-apis/durable-objects/ + // MY_DURABLE_OBJECT: DurableObjectNamespace; + // + // Example binding to R2. Learn more at https://developers.cloudflare.com/workers/runtime-apis/r2/ + // MY_BUCKET: R2Bucket; + // + // Example binding to a Service. Learn more at https://developers.cloudflare.com/workers/runtime-apis/service-bindings/ + // MY_SERVICE: Fetcher; + // + // Example binding to a Queue. Learn more at https://developers.cloudflare.com/queues/javascript-apis/ + // MY_QUEUE: Queue; + + OPENAI_API_KEY: string; +} + +type Test = { description: string; handler: () => Promise }; + +export default { + async fetch(request: Request, env: Env, ctx: ExecutionContext): Promise { + const url = new URL(request.url); + // start-server-and-test polls / to see if the server is up and running + if (url.pathname === '/') return new Response(); + // then the test code requests /test + if (url.pathname !== '/test') return new Response(null, { status: 404 }); + try { + console.error('importing openai'); + const { default: OpenAI } = await import('openai'); + console.error('importing test cases'); + const { uploadWebApiTestCases } = await import('./uploadWebApiTestCases.js'); + console.error('creating client'); + const client = new OpenAI({ apiKey: env.OPENAI_API_KEY }); + console.error('created client'); + + const tests: Test[] = []; + function it(description: string, handler: () => Promise) { + tests.push({ description, handler }); + } + function expectEqual(a: any, b: any) { + if (!Object.is(a, b)) { + throw new Error(`expected values to be equal: ${JSON.stringify({ a, b })}`); + } + } + function expectSimilar(received: string, expected: string, maxDistance: number) { + const receivedDistance = distance(received, expected); + if (receivedDistance < maxDistance) { + return; + } + + const message = [ + `Received: ${JSON.stringify(received)}`, + `Expected: ${JSON.stringify(expected)}`, + `Max distance: ${maxDistance}`, + `Received distance: ${receivedDistance}`, + ].join('\n'); + + throw new Error(message); + } + + uploadWebApiTestCases({ + client: client as any, + it, + expectEqual, + expectSimilar, + }); + + let allPassed = true; + const results = []; + + for (const { description, handler } of tests) { + console.error('running', description); + let result; + try { + result = await handler(); + console.error('passed ', description); + } catch (error) { + console.error('failed ', description, error); + allPassed = false; + result = error instanceof Error ? error.stack : String(error); + } + results.push(`${description}\n\n${String(result)}`); + } + + return new Response(allPassed ? 'Passed!' : results.join('\n\n')); + } catch (error) { + console.error(error instanceof Error ? error.stack : String(error)); + return new Response(error instanceof Error ? error.stack : String(error), { status: 500 }); + } + }, +}; diff --git a/ecosystem-tests/cloudflare-worker/tests/test.js b/ecosystem-tests/cloudflare-worker/tests/test.js new file mode 100644 index 000000000..3a1ca3ea1 --- /dev/null +++ b/ecosystem-tests/cloudflare-worker/tests/test.js @@ -0,0 +1,9 @@ +import fetch from 'node-fetch'; + +it( + 'works', + async () => { + expect(await (await fetch('http://github.com/service/http://localhost:8787/test')).text()).toEqual('Passed!'); + }, + 3 * 60000 +); diff --git a/ecosystem-tests/cloudflare-worker/tsconfig.check.json b/ecosystem-tests/cloudflare-worker/tsconfig.check.json new file mode 100644 index 000000000..22d6f227b --- /dev/null +++ b/ecosystem-tests/cloudflare-worker/tsconfig.check.json @@ -0,0 +1,8 @@ +{ + "extends": "./tsconfig.json", + "include": ["src"], + "exclude": ["tests", "jest.config.cjs"], + "compilerOptions": { + "skipLibCheck": false + } +} diff --git a/ecosystem-tests/cloudflare-worker/tsconfig.json b/ecosystem-tests/cloudflare-worker/tsconfig.json new file mode 100644 index 000000000..cde90e627 --- /dev/null +++ b/ecosystem-tests/cloudflare-worker/tsconfig.json @@ -0,0 +1,102 @@ +{ + "include": ["src/*.ts"], + "compilerOptions": { + /* Visit https://aka.ms/tsconfig.json to read more about this file */ + + /* Projects */ + // "incremental": true, /* Enable incremental compilation */ + // "composite": true, /* Enable constraints that allow a TypeScript project to be used with project references. */ + // "tsBuildInfoFile": "./", /* Specify the folder for .tsbuildinfo incremental compilation files. */ + // "disableSourceOfProjectReferenceRedirect": true, /* Disable preferring source files instead of declaration files when referencing composite projects */ + // "disableSolutionSearching": true, /* Opt a project out of multi-project reference checking when editing. */ + // "disableReferencedProjectLoad": true, /* Reduce the number of projects loaded automatically by TypeScript. */ + + /* Language and Environment */ + "target": "es2021" /* Set the JavaScript language version for emitted JavaScript and include compatible library declarations. */, + "lib": ["es2021"] /* Specify a set of bundled library declaration files that describe the target runtime environment. */, + "jsx": "react" /* Specify what JSX code is generated. */, + // "experimentalDecorators": true, /* Enable experimental support for TC39 stage 2 draft decorators. */ + // "emitDecoratorMetadata": true, /* Emit design-type metadata for decorated declarations in source files. */ + // "jsxFactory": "", /* Specify the JSX factory function used when targeting React JSX emit, e.g. 'React.createElement' or 'h' */ + // "jsxFragmentFactory": "", /* Specify the JSX Fragment reference used for fragments when targeting React JSX emit e.g. 'React.Fragment' or 'Fragment'. */ + // "jsxImportSource": "", /* Specify module specifier used to import the JSX factory functions when using `jsx: react-jsx*`.` */ + // "reactNamespace": "", /* Specify the object invoked for `createElement`. This only applies when targeting `react` JSX emit. */ + // "noLib": true, /* Disable including any library files, including the default lib.d.ts. */ + // "useDefineForClassFields": true, /* Emit ECMAScript-standard-compliant class fields. */ + + /* Modules */ + "module": "es2022" /* Specify what module code is generated. */, + // "rootDir": "./", /* Specify the root folder within your source files. */ + "moduleResolution": "bundler" /* Specify how TypeScript looks up a file from a given module specifier. */, + // "baseUrl": "./", /* Specify the base directory to resolve non-relative module names. */ + // "paths": {}, /* Specify a set of entries that re-map imports to additional lookup locations. */ + // "rootDirs": [], /* Allow multiple folders to be treated as one when resolving modules. */ + // "typeRoots": [], /* Specify multiple folders that act like `./node_modules/@types`. */ + "types": ["@cloudflare/workers-types"] /* Specify type package names to be included without being referenced in a source file. */, + // "allowUmdGlobalAccess": true, /* Allow accessing UMD globals from modules. */ + // "resolveJsonModule": true /* Enable importing .json files */, + // "noResolve": true, /* Disallow `import`s, `require`s or ``s from expanding the number of files TypeScript should add to a project. */ + + /* JavaScript Support */ + "allowJs": true /* Allow JavaScript files to be a part of your program. Use the `checkJS` option to get errors from these files. */, + "checkJs": false /* Enable error reporting in type-checked JavaScript files. */, + // "maxNodeModuleJsDepth": 1, /* Specify the maximum folder depth used for checking JavaScript files from `node_modules`. Only applicable with `allowJs`. */ + + /* Emit */ + // "declaration": true, /* Generate .d.ts files from TypeScript and JavaScript files in your project. */ + // "declarationMap": true, /* Create sourcemaps for d.ts files. */ + // "emitDeclarationOnly": true, /* Only output d.ts files and not JavaScript files. */ + // "sourceMap": true, /* Create source map files for emitted JavaScript files. */ + // "outFile": "./", /* Specify a file that bundles all outputs into one JavaScript file. If `declaration` is true, also designates a file that bundles all .d.ts output. */ + // "outDir": "./", /* Specify an output folder for all emitted files. */ + // "removeComments": true, /* Disable emitting comments. */ + "noEmit": true /* Disable emitting files from a compilation. */, + // "importHelpers": true, /* Allow importing helper functions from tslib once per project, instead of including them per-file. */ + // "importsNotUsedAsValues": "remove", /* Specify emit/checking behavior for imports that are only used for types */ + // "downlevelIteration": true, /* Emit more compliant, but verbose and less performant JavaScript for iteration. */ + // "sourceRoot": "", /* Specify the root path for debuggers to find the reference source code. */ + // "mapRoot": "", /* Specify the location where debugger should locate map files instead of generated locations. */ + // "inlineSourceMap": true, /* Include sourcemap files inside the emitted JavaScript. */ + // "inlineSources": true, /* Include source code in the sourcemaps inside the emitted JavaScript. */ + // "emitBOM": true, /* Emit a UTF-8 Byte Order Mark (BOM) in the beginning of output files. */ + // "newLine": "crlf", /* Set the newline character for emitting files. */ + // "stripInternal": true, /* Disable emitting declarations that have `@internal` in their JSDoc comments. */ + // "noEmitHelpers": true, /* Disable generating custom helper functions like `__extends` in compiled output. */ + // "noEmitOnError": true, /* Disable emitting files if any type checking errors are reported. */ + // "preserveConstEnums": true, /* Disable erasing `const enum` declarations in generated code. */ + // "declarationDir": "./", /* Specify the output directory for generated declaration files. */ + // "preserveValueImports": true, /* Preserve unused imported values in the JavaScript output that would otherwise be removed. */ + + /* Interop Constraints */ + "isolatedModules": true /* Ensure that each file can be safely transpiled without relying on other imports. */, + "allowSyntheticDefaultImports": true /* Allow 'import x from y' when a module doesn't have a default export. */, + // "esModuleInterop": true /* Emit additional JavaScript to ease support for importing CommonJS modules. This enables `allowSyntheticDefaultImports` for type compatibility. */, + // "preserveSymlinks": true, /* Disable resolving symlinks to their realpath. This correlates to the same flag in node. */ + "forceConsistentCasingInFileNames": true /* Ensure that casing is correct in imports. */, + + /* Type Checking */ + "strict": true /* Enable all strict type-checking options. */, + // "noImplicitAny": true, /* Enable error reporting for expressions and declarations with an implied `any` type.. */ + // "strictNullChecks": true, /* When type checking, take into account `null` and `undefined`. */ + // "strictFunctionTypes": true, /* When assigning functions, check to ensure parameters and the return values are subtype-compatible. */ + // "strictBindCallApply": true, /* Check that the arguments for `bind`, `call`, and `apply` methods match the original function. */ + // "strictPropertyInitialization": true, /* Check for class properties that are declared but not set in the constructor. */ + // "noImplicitThis": true, /* Enable error reporting when `this` is given the type `any`. */ + // "useUnknownInCatchVariables": true, /* Type catch clause variables as 'unknown' instead of 'any'. */ + // "alwaysStrict": true, /* Ensure 'use strict' is always emitted. */ + // "noUnusedLocals": true, /* Enable error reporting when a local variables aren't read. */ + // "noUnusedParameters": true, /* Raise an error when a function parameter isn't read */ + // "exactOptionalPropertyTypes": true, /* Interpret optional property types as written, rather than adding 'undefined'. */ + // "noImplicitReturns": true, /* Enable error reporting for codepaths that do not explicitly return in a function. */ + // "noFallthroughCasesInSwitch": true, /* Enable error reporting for fallthrough cases in switch statements. */ + // "noUncheckedIndexedAccess": true, /* Include 'undefined' in index signature results */ + // "noImplicitOverride": true, /* Ensure overriding members in derived classes are marked with an override modifier. */ + // "noPropertyAccessFromIndexSignature": true, /* Enforces using indexed accessors for keys declared using an indexed type */ + // "allowUnusedLabels": true, /* Disable error reporting for unused labels. */ + // "allowUnreachableCode": true, /* Disable error reporting for unreachable code. */ + + /* Completeness */ + // "skipDefaultLibCheck": true, /* Skip type checking .d.ts files that are included with TypeScript. */ + "skipLibCheck": true /* Skip type checking all .d.ts files. */ + } +} diff --git a/ecosystem-tests/cloudflare-worker/wrangler.toml b/ecosystem-tests/cloudflare-worker/wrangler.toml new file mode 100644 index 000000000..e693724f4 --- /dev/null +++ b/ecosystem-tests/cloudflare-worker/wrangler.toml @@ -0,0 +1,43 @@ +name = "cfw" +main = "src/worker.ts" +compatibility_date = "2023-06-18" +#node_compat = true + +# # KV Namespace binding - For more information: https://developers.cloudflare.com/workers/runtime-apis/kv +# [[kv_namespaces]] +# binding = "MY_KV_NAMESPACE" +# id = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" + +# # Durable Object binding - For more information: https://developers.cloudflare.com/workers/runtime-apis/durable-objects +# [[durable_objects]] +# binding = "MY_DURABLE_OBJECT" +# class_name = "MyDurableObject" + +# # Bucket binding - For more information: https://developers.cloudflare.com/workers/runtime-apis/kv#bucket +# [[buckets]] +# binding = "MY_BUCKET" +# name = "my-bucket" +# bucket_id = "yyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyy" + +# # Service binding - For more information: https://developers.cloudflare.com/workers/platform/services +# [[routes]] +# binding = "MY_SERVICE" +# pattern = "/api/*" +# script = "api.js" + +# # Queue binding - For more information: https://developers.cloudflare.com/workers/runtime-apis/queues +# [[queues]] +# binding = "MY_QUEUE" +# name = "my-queue" +# zone_id = "zzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzz" + +# [env.production] +# MY_VARIABLE = "production_value" + +# [env.staging] +# MY_VARIABLE = "staging_value" + +# [env.shared] +# SHARED_VARIABLE = "shared_value" + +[vars] diff --git 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"a69126e8a469009adf4cf2a50af889aca364c349797e63174884a52ff75cf4c7", + "https://deno.land/std@0.192.0/testing/asserts.ts": "e16d98b4d73ffc4ed498d717307a12500ae4f2cbe668f1a215632d19fcffc22f", + "https://deno.land/x/fastest_levenshtein@1.0.10/mod.ts": "aea49d54b6bb37082b2377da2ea068331da07b2a515621d8eff97538b7157b40" + } +} diff --git a/ecosystem-tests/deno/main_test.ts b/ecosystem-tests/deno/main_test.ts new file mode 100644 index 000000000..b27c9079b --- /dev/null +++ b/ecosystem-tests/deno/main_test.ts @@ -0,0 +1,129 @@ +import { assertEquals, AssertionError } from 'https://deno.land/std@0.192.0/testing/asserts.ts'; +import { distance } from 'https://deno.land/x/fastest_levenshtein/mod.ts'; +import OpenAI, { toFile } from 'openai'; + +const url = 'https://audio-samples.github.io/samples/mp3/blizzard_biased/sample-1.mp3'; +const filename = 'sample-1.mp3'; + +const correctAnswer = + 'It was anxious to find him no one that expectation of a man who were giving his father enjoyment. But he was avoided in sight in the minister to which indeed,'; +const model = 'whisper-1'; + +const client = new OpenAI({ apiKey: Deno.env.get('OPENAI_API_KEY') }); + +async function _typeTests() { + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: { foo: true }, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: null, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: 'test', model: 'whisper-1' }); +} + +function assertSimilar(received: string, expected: string, maxDistance: number) { + const receivedDistance = distance(received, expected); + if (receivedDistance < maxDistance) { + return; + } + + const message = [ + `Received: ${JSON.stringify(received)}`, + `Expected: ${JSON.stringify(expected)}`, + `Max distance: ${maxDistance}`, + `Received distance: ${receivedDistance}`, + ].join('\n'); + + throw new AssertionError(message); +} + +Deno.test(async function rawResponse() { + const response = await client.chat.completions + .create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + }) + .asResponse(); + + // test that we can use web Response API + const { body } = response; + if (!body) throw new Error('expected response.body to be defined'); + + const reader = body.getReader(); + const chunks: Uint8Array[] = []; + let result; + do { + result = await reader.read(); + if (!result.done) chunks.push(result.value); + } while (!result.done); + + reader.releaseLock(); + + let offset = 0; + const merged = new Uint8Array(chunks.reduce((total, chunk) => total + chunk.length, 0)); + for (const chunk of chunks) { + merged.set(chunk, offset); + offset += chunk.length; + } + + const json: OpenAI.ChatCompletion = JSON.parse(new TextDecoder().decode(merged)); + assertSimilar(json.choices[0]?.message.content || '', 'This is a test', 10); +}); + +Deno.test(async function streamingWorks() { + const stream = await client.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + stream: true, + }); + const chunks = []; + for await (const part of stream) { + chunks.push(part); + } + assertSimilar(chunks.map((c) => c.choices[0]?.delta.content || '').join(''), 'This is a test', 10); +}); + +Deno.test(async function handlesFile() { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + .then((x) => new File([x], filename)); + + const result = await client.audio.transcriptions.create({ file, model }); + assertSimilar(result.text, correctAnswer, 12); +}); +Deno.test(async function handlesResponse() { + const file = await fetch(url); + + const result = await client.audio.transcriptions.create({ file, model }); + assertSimilar(result.text, correctAnswer, 12); +}); + +const fineTune = `{"prompt": "", "completion": ""}`; + +Deno.test(async function toFileHandlesBlob() { + const result = await client.files.create({ + file: await toFile(new Blob([fineTune]), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + assertEquals(result.filename, 'finetune.jsonl'); +}); +Deno.test(async function toFileHandlesUint8Array() { + const result = await client.files.create({ + file: await toFile(new TextEncoder().encode(fineTune), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + assertEquals(result.filename, 'finetune.jsonl'); +}); +Deno.test(async function toFileHandlesArrayBuffer() { + const result = await client.files.create({ + file: await toFile(new TextEncoder().encode(fineTune).buffer, 'finetune.jsonl'), + purpose: 'fine-tune', + }); + assertEquals(result.filename, 'finetune.jsonl'); +}); +Deno.test(async function toFileHandlesDataView() { + const result = await client.files.create({ + file: await toFile(new DataView(new TextEncoder().encode(fineTune).buffer), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + assertEquals(result.filename, 'finetune.jsonl'); +}); diff --git a/ecosystem-tests/deno/package-lock.json b/ecosystem-tests/deno/package-lock.json new file mode 100644 index 000000000..99ead654a --- /dev/null +++ b/ecosystem-tests/deno/package-lock.json @@ -0,0 +1,98 @@ +{ + "name": "deno", + "lockfileVersion": 3, + "requires": true, + "packages": { + "node_modules/.deno/asynckit@0.4.0/node_modules/asynckit": { + "version": "0.4.0", + "extraneous": true, + "license": "MIT", + "devDependencies": { + "browserify": "^13.0.0", + "browserify-istanbul": "^2.0.0", + "coveralls": "^2.11.9", + "eslint": "^2.9.0", + "istanbul": "^0.4.3", + "obake": "^0.1.2", + "phantomjs-prebuilt": "^2.1.7", + "pre-commit": "^1.1.3", + "reamde": "^1.1.0", + "rimraf": "^2.5.2", + "size-table": "^0.2.0", + "tap-spec": "^4.1.1", + "tape": "^4.5.1" + } + }, + "node_modules/.deno/axios@0.26.1": {}, + 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"^4.40.1" + } +} diff --git a/ecosystem-tests/node-js/test.js b/ecosystem-tests/node-js/test.js new file mode 100644 index 000000000..e2a26f856 --- /dev/null +++ b/ecosystem-tests/node-js/test.js @@ -0,0 +1,35 @@ +const OpenAI = require('openai'); + +const openai = new OpenAI(); + +function assertEqual(actual, expected) { + if (actual === expected) { + return; + } + + console.error('expected', expected); + console.error('actual ', actual); + throw new Error('expected values to be equal'); +} + +async function main() { + const completion = await openai.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + }); + if (!completion.choices[0].message.content) { + console.dir(completion, { depth: 4 }); + throw new Error('no response content!'); + } + + assertEqual( + decodeURIComponent(openai.stringifyQuery({ foo: { nested: { a: true, b: 'foo' } } })), + 'foo[nested][a]=true&foo[nested][b]=foo', + ); + assertEqual( + decodeURIComponent(openai.stringifyQuery({ foo: { nested: { a: ['hello', 'world'] } } })), + 'foo[nested][a][]=hello&foo[nested][a][]=world', + ); +} + +main(); diff --git a/ecosystem-tests/node-ts-cjs-auto/jest.config.cjs b/ecosystem-tests/node-ts-cjs-auto/jest.config.cjs new file mode 100644 index 000000000..b08ea4311 --- /dev/null +++ b/ecosystem-tests/node-ts-cjs-auto/jest.config.cjs @@ -0,0 +1,9 @@ +/** @type {import('ts-jest/dist/types').InitialOptionsTsJest} */ +module.exports = { + preset: 'ts-jest', + testEnvironment: 'node', + testMatch: ['/tests/*.ts'], + watchPathIgnorePatterns: ['/node_modules/'], + verbose: false, + testTimeout: 60000, +}; diff --git a/ecosystem-tests/node-ts-cjs-auto/moduleResolution/node/type-tests.ts b/ecosystem-tests/node-ts-cjs-auto/moduleResolution/node/type-tests.ts new file mode 100644 index 000000000..2621b2b47 --- /dev/null +++ b/ecosystem-tests/node-ts-cjs-auto/moduleResolution/node/type-tests.ts @@ -0,0 +1,13 @@ +import OpenAI from 'openai'; + +const client = new OpenAI(); + +async function typeTests() { + const response = await client.audio.transcriptions + .create({ + file: 'test' as any, + model: 'whisper-1', + }) + .asResponse(); + response.body; +} diff --git a/ecosystem-tests/node-ts-cjs-auto/moduleResolution/nodenext/type-tests.ts b/ecosystem-tests/node-ts-cjs-auto/moduleResolution/nodenext/type-tests.ts new file mode 100644 index 000000000..c47ddc2a5 --- /dev/null +++ b/ecosystem-tests/node-ts-cjs-auto/moduleResolution/nodenext/type-tests.ts @@ -0,0 +1,5 @@ +import * as shims from 'openai/_shims/index'; + +function typeTests(x: shims.Request) { + const url: string = x.url; +} diff --git a/ecosystem-tests/node-ts-cjs-auto/package-lock.json b/ecosystem-tests/node-ts-cjs-auto/package-lock.json new file mode 100644 index 000000000..c3880beb2 --- /dev/null +++ b/ecosystem-tests/node-ts-cjs-auto/package-lock.json @@ -0,0 +1,3877 @@ +{ + "name": "node-ts-cjs-auto", + "version": "0.0.1", + "lockfileVersion": 3, + "requires": 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"tsc": "tsc && tsc -p tsconfig.nodenext.json", + "test": "jest" + }, + "dependencies": { + "formdata-node": "^4.4.1", + "node-fetch": "^2.6.1", + "tsconfig-paths": "^4.0.0" + }, + "devDependencies": { + "@types/node": "^20.4.2", + "@types/node-fetch": "^2.6.1", + "@types/ws": "^8.5.4", + "fastest-levenshtein": "^1.0.16", + "jest": "^28.1.3", + "ts-jest": "^28.0.8", + "typescript": "4.7.4" + } +} diff --git a/ecosystem-tests/node-ts-cjs-auto/sample1.mp3 b/ecosystem-tests/node-ts-cjs-auto/sample1.mp3 new file mode 100644 index 000000000..1e787cd7c Binary files /dev/null and b/ecosystem-tests/node-ts-cjs-auto/sample1.mp3 differ diff --git a/ecosystem-tests/node-ts-cjs-auto/tests/shims.ts b/ecosystem-tests/node-ts-cjs-auto/tests/shims.ts new file mode 100644 index 000000000..d34211578 --- /dev/null +++ b/ecosystem-tests/node-ts-cjs-auto/tests/shims.ts @@ -0,0 +1,7 @@ +import * as shims from 'openai/_shims/index'; +import * as fd from 'formdata-node'; + +test('openai/shims/node', () => { + expect(shims.kind).toEqual('node'); + expect(shims.File).toBe(fd.File); +}); diff --git a/ecosystem-tests/node-ts-cjs-auto/tests/test.ts b/ecosystem-tests/node-ts-cjs-auto/tests/test.ts new file mode 100644 index 000000000..203afba5a --- /dev/null +++ b/ecosystem-tests/node-ts-cjs-auto/tests/test.ts @@ -0,0 +1,268 @@ +import OpenAI, { APIUserAbortError, toFile } from 'openai'; +import { TranscriptionCreateParams } from 'openai/resources/audio/transcriptions'; +import fetch from 'node-fetch'; +import { File as FormDataFile, Blob as FormDataBlob } from 'formdata-node'; +import * as fs from 'fs'; +import { distance } from 'fastest-levenshtein'; + +const url = 'https://audio-samples.github.io/samples/mp3/blizzard_biased/sample-1.mp3'; +const filename = 'sample-1.mp3'; + +const correctAnswer = + 'It was anxious to find him no one that expectation of a man who were giving his father enjoyment. But he was avoided in sight in the minister to which indeed,'; +const model = 'whisper-1'; + +const client = new OpenAI(); + +async function typeTests() { + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: { foo: true }, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: null, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: 'test', model: 'whisper-1' }); +} + +declare global { + namespace jest { + interface Matchers { + toBeSimilarTo(comparedTo: string, expectedDistance: number): R; + } + } +} +expect.extend({ + toBeSimilarTo(received, comparedTo: string, expectedDistance: number) { + const message = () => + [ + `Received: ${JSON.stringify(received)}`, + `Expected: ${JSON.stringify(comparedTo)}`, + `Expected distance: ${expectedDistance}`, + `Received distance: ${actualDistance}`, + ].join('\n'); + + const actualDistance = distance(received, comparedTo); + if (actualDistance < expectedDistance) { + return { + message, + pass: true, + }; + } + + return { + message, + pass: false, + }; + }, +}); + +it(`streaming works`, async function () { + const stream = await client.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + stream: true, + }); + const chunks = []; + for await (const part of stream) { + chunks.push(part); + } + expect(chunks.map((c) => c.choices[0]?.delta.content || '').join('')).toBeSimilarTo('This is a test', 10); +}); + +it(`ChatCompletionStream works`, async function () { + const chunks: OpenAI.Chat.ChatCompletionChunk[] = []; + const contents: [string, string][] = []; + const messages: OpenAI.Chat.ChatCompletionMessageParam[] = []; + const chatCompletions: OpenAI.Chat.ChatCompletion[] = []; + let finalContent: string | undefined; + let finalMessage: OpenAI.Chat.ChatCompletionMessageParam | undefined; + let finalChatCompletion: OpenAI.Chat.ChatCompletion | undefined; + + const stream = client.beta.chat.completions + .stream({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + }) + .on('chunk', (chunk) => chunks.push(chunk)) + .on('content', (delta, snapshot) => contents.push([delta, snapshot])) + .on('message', (message) => messages.push(message)) + .on('chatCompletion', (completion) => chatCompletions.push(completion)) + .on('finalContent', (content) => (finalContent = content)) + .on('finalMessage', (message) => (finalMessage = message)) + .on('finalChatCompletion', (completion) => (finalChatCompletion = completion)); + const content = await stream.finalContent(); + + expect(content).toBeSimilarTo('This is a test', 10); + expect(chunks.length).toBeGreaterThan(0); + expect(contents.length).toBeGreaterThan(0); + for (const chunk of chunks) { + expect(chunk.id).toEqual(finalChatCompletion?.id); + expect(chunk.created).toEqual(finalChatCompletion?.created); + expect(chunk.model).toEqual(finalChatCompletion?.model); + } + expect(finalContent).toEqual(content); + expect(contents.at(-1)?.[1]).toEqual(content); + expect(finalMessage?.content).toEqual(content); + expect(finalChatCompletion?.choices?.[0]?.message.content).toEqual(content); + expect(messages).toEqual([finalMessage]); + expect(chatCompletions).toEqual([finalChatCompletion]); + expect(await stream.finalContent()).toEqual(content); + expect(await stream.finalMessage()).toEqual(finalMessage); + expect(await stream.finalChatCompletion()).toEqual(finalChatCompletion); +}); + +it(`aborting ChatCompletionStream works`, async function () { + const chunks: OpenAI.Chat.ChatCompletionChunk[] = []; + const contents: [string, string][] = []; + const messages: OpenAI.Chat.ChatCompletionMessageParam[] = []; + const chatCompletions: OpenAI.Chat.ChatCompletion[] = []; + let finalContent: string | undefined; + let finalMessage: OpenAI.Chat.ChatCompletionMessageParam | undefined; + let finalChatCompletion: OpenAI.Chat.ChatCompletion | undefined; + let emittedError: any; + let caughtError: any; + const controller = new AbortController(); + const stream = client.beta.chat.completions + .stream( + { + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + }, + { signal: controller.signal }, + ) + .on('error', (e) => (emittedError = e)) + .on('chunk', (chunk) => chunks.push(chunk)) + .on('content', (delta, snapshot) => { + contents.push([delta, snapshot]); + controller.abort(); + }) + .on('message', (message) => messages.push(message)) + .on('chatCompletion', (completion) => chatCompletions.push(completion)) + .on('finalContent', (content) => (finalContent = content)) + .on('finalMessage', (message) => (finalMessage = message)) + .on('finalChatCompletion', (completion) => (finalChatCompletion = completion)); + try { + await stream.finalContent(); + } catch (error) { + caughtError = error; + } + expect(caughtError).toBeInstanceOf(APIUserAbortError); + expect(finalContent).toBeUndefined(); + expect(finalMessage).toBeUndefined(); + expect(finalChatCompletion).toBeUndefined(); + expect(chatCompletions).toEqual([]); + expect(chunks.length).toBeGreaterThan(0); + expect(contents.length).toBeGreaterThan(0); +}); + +it('handles formdata-node File', async function () { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + .then((x) => new FormDataFile([x], filename)); + + const params: TranscriptionCreateParams = { file, model }; + + const result = await client.audio.transcriptions.create(params); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +// @ts-ignore avoid DOM lib for testing purposes +if (typeof File !== 'undefined') { + it('handles builtinFile', async function () { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + // @ts-ignore avoid DOM lib for testing purposes + .then((x) => new File([x], filename)); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); + }); +} + +it('handles Response', async function () { + const file = await fetch(url); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +it('handles fs.ReadStream', async function () { + const result = await client.audio.transcriptions.create({ + file: fs.createReadStream('sample1.mp3'), + model, + }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +const fineTune = `{"prompt": "", "completion": ""}`; + +describe('toFile', () => { + it('handles form-data Blob', async function () { + const result = await client.files.create({ + file: await toFile( + new FormDataBlob([ + // @ts-ignore avoid DOM lib for testing purposes + new TextEncoder().encode(fineTune), + ]), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + // @ts-ignore avoid DOM lib for testing purposes + if (typeof Blob !== 'undefined') { + it('handles builtin Blob', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new Blob([new TextEncoder().encode(fineTune)]), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + } + it('handles Uint8Array', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new TextEncoder().encode(fineTune), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + it('handles ArrayBuffer', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new TextEncoder().encode(fineTune).buffer, + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + it('handles DataView', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new DataView(new TextEncoder().encode(fineTune).buffer), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); +}); + +test('query strings', () => { + expect( + decodeURIComponent((client as any).stringifyQuery({ foo: { nested: { a: true, b: 'foo' } } })), + ).toEqual('foo[nested][a]=true&foo[nested][b]=foo'); + expect( + decodeURIComponent((client as any).stringifyQuery({ foo: { nested: { a: ['hello', 'world'] } } })), + ).toEqual('foo[nested][a][]=hello&foo[nested][a][]=world'); +}); diff --git a/ecosystem-tests/node-ts-cjs-auto/tsconfig.json b/ecosystem-tests/node-ts-cjs-auto/tsconfig.json new file mode 100644 index 000000000..bb679e8fb --- /dev/null +++ b/ecosystem-tests/node-ts-cjs-auto/tsconfig.json @@ -0,0 +1,54 @@ +{ + "include": ["tests/*", "moduleResolution/node/*"], + + "compilerOptions": { + /* Visit https://aka.ms/tsconfig.json to read more about this file */ + /* Projects */ + "incremental": true, + + /* Language and Environment */ + "target": "ES2015", + "lib": ["ES2015"], + "jsx": "react", + + /* Modules */ + "module": "commonjs", + "rootDir": "./", + "moduleResolution": "node", + "baseUrl": "./", + "paths": { + "~/*": ["*"] + }, + "resolveJsonModule": true, + "composite": true, + + /* Emit */ + "outDir": "node_modules", + "noEmit": true, + + /* Interop Constraints */ + "isolatedModules": true, + "allowSyntheticDefaultImports": true, + /* "esModuleInterop": true, */ + "forceConsistentCasingInFileNames": true, + "allowJs": true, + "checkJs": true, + + /* Experimental Features */ + "experimentalDecorators": 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"text-encoding-polyfill": "^0.6.7", + "ts-jest": "^29.1.0", + "typescript": "4.7.4", + "web-streams-polyfill": "^3.2.1", + "whatwg-fetch": "^3.6.19" + } +} diff --git a/ecosystem-tests/node-ts-cjs-web/sample1.mp3 b/ecosystem-tests/node-ts-cjs-web/sample1.mp3 new file mode 100644 index 000000000..1e787cd7c Binary files /dev/null and b/ecosystem-tests/node-ts-cjs-web/sample1.mp3 differ diff --git a/ecosystem-tests/node-ts-cjs-web/tests/shims.ts b/ecosystem-tests/node-ts-cjs-web/tests/shims.ts new file mode 100644 index 000000000..07279b9eb --- /dev/null +++ b/ecosystem-tests/node-ts-cjs-web/tests/shims.ts @@ -0,0 +1,11 @@ +import 'openai/shims/web'; +import * as shims from 'openai/_shims/index'; + +function typeTests(x: shims.Request) { + const url: string = x.url; +} + +test('openai/shims/node', () => { + expect(shims.kind).toEqual('web'); + expect(shims.File).toBe(File); +}); diff --git a/ecosystem-tests/node-ts-cjs-web/tests/test-jsdom-unpolyfilled.ts b/ecosystem-tests/node-ts-cjs-web/tests/test-jsdom-unpolyfilled.ts new file mode 100644 index 000000000..e536f3047 --- /dev/null +++ b/ecosystem-tests/node-ts-cjs-web/tests/test-jsdom-unpolyfilled.ts @@ -0,0 +1,11 @@ +/** + * @jest-environment jsdom + */ + +export {}; + +test('openai/shims/web throws if globals are missing', async () => { + await expect(() => import('openai/shims/web')).rejects.toThrow( + `this environment is missing the following Web Fetch API type: fetch is not defined. You may need to use polyfills`, + ); +}); diff --git a/ecosystem-tests/node-ts-cjs-web/tests/test-jsdom.ts b/ecosystem-tests/node-ts-cjs-web/tests/test-jsdom.ts new file mode 100644 index 000000000..e7b6be07d --- /dev/null +++ b/ecosystem-tests/node-ts-cjs-web/tests/test-jsdom.ts @@ -0,0 +1,175 @@ +/** + * @jest-environment jsdom + */ +import 'whatwg-fetch'; +import 'openai/shims/web'; +import OpenAI, { toFile } from 'openai'; +import { distance } from 'fastest-levenshtein'; +import { ChatCompletion } from 'openai/resources/chat/completions'; +// @ts-ignore +import { TextEncoder } from 'text-encoding-polyfill'; + +const url = 'https://audio-samples.github.io/samples/mp3/blizzard_biased/sample-1.mp3'; +const filename = 'sample-1.mp3'; + +const correctAnswer = + 'It was anxious to find him no one that expectation of a man who were giving his father enjoyment. But he was avoided in sight in the minister to which indeed,'; +const model = 'whisper-1'; + +const client = new OpenAI({ apiKey: process.env['OPENAI_API_KEY'], dangerouslyAllowBrowser: true }); + +async function typeTests() { + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: { foo: true }, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: null, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: 'test', model: 'whisper-1' }); +} + +declare global { + namespace jest { + interface Matchers { + toBeSimilarTo(comparedTo: string, expectedDistance: number): R; + } + } +} +expect.extend({ + toBeSimilarTo(received, comparedTo: string, expectedDistance: number) { + const message = () => + [ + `Received: ${JSON.stringify(received)}`, + `Expected: ${JSON.stringify(comparedTo)}`, + `Expected distance: ${expectedDistance}`, + `Received distance: ${actualDistance}`, + ].join('\n'); + + const actualDistance = distance(received, comparedTo); + if (actualDistance < expectedDistance) { + return { + message, + pass: true, + }; + } + + return { + message, + pass: false, + }; + }, +}); + +test(`basic request works`, async function () { + const completion = await client.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + }); + expect(completion.choices[0]?.message?.content).toBeSimilarTo('This is a test', 10); +}); + +// response bodies aren't working with the chosen polyfills +it.skip(`raw response`, async function () { + const response = await client.chat.completions + .create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + }) + .asResponse(); + + // test that we can use web Response API + const { body } = response; + if (!body) throw new Error('expected response.body to be defined'); + + const reader = body.getReader(); + const chunks: Uint8Array[] = []; + let result; + do { + result = await reader.read(); + if (!result.done) chunks.push(result.value); + } while (!result.done); + + reader.releaseLock(); + + let offset = 0; + const merged = new Uint8Array(chunks.reduce((total, chunk) => total + chunk.length, 0)); + for (const chunk of chunks) { + merged.set(chunk, offset); + offset += chunk.length; + } + + const json: ChatCompletion = JSON.parse(new TextDecoder().decode(merged)); + expect(json.choices[0]?.message.content || '').toBeSimilarTo('This is a test', 10); +}); + +// response bodies aren't working with the chosen polyfills +it.skip(`streaming works`, async function () { + const stream = await client.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + stream: true, + }); + const chunks = []; + for await (const part of stream) { + chunks.push(part); + } + expect(chunks.map((c) => c.choices[0]?.delta.content || '').join('')).toBeSimilarTo('This is a test', 10); +}); + +// file uploads aren't working with the chosen polyfills +it.skip('handles builtinFile', async function () { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + .then((x) => new File([x], filename)); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +it.skip('handles Response', async function () { + const file = await fetch(url); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +const fineTune = `{"prompt": "", "completion": ""}`; + +describe.skip('toFile', () => { + it('handles builtin Blob', async function () { + const result = await client.files.create({ + file: await toFile(new Blob([new TextEncoder().encode(fineTune)]), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + it('handles Uint8Array', async function () { + const result = await client.files.create({ + file: await toFile(new TextEncoder().encode(fineTune), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + it('handles ArrayBuffer', async function () { + const result = await client.files.create({ + file: await toFile(new TextEncoder().encode(fineTune).buffer, 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + it('handles DataView', async function () { + const result = await client.files.create({ + file: await toFile(new DataView(new TextEncoder().encode(fineTune).buffer), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); +}); + +test('query strings', () => { + expect( + decodeURIComponent((client as any).stringifyQuery({ foo: { nested: { a: true, b: 'foo' } } })), + ).toEqual('foo[nested][a]=true&foo[nested][b]=foo'); + expect( + decodeURIComponent((client as any).stringifyQuery({ foo: { nested: { a: ['hello', 'world'] } } })), + ).toEqual('foo[nested][a][]=hello&foo[nested][a][]=world'); +}); diff --git a/ecosystem-tests/node-ts-cjs-web/tests/test-node.ts b/ecosystem-tests/node-ts-cjs-web/tests/test-node.ts new file mode 100644 index 000000000..668e65332 --- /dev/null +++ b/ecosystem-tests/node-ts-cjs-web/tests/test-node.ts @@ -0,0 +1,162 @@ +import 'openai/shims/web'; +import OpenAI, { toFile } from 'openai'; +import { distance } from 'fastest-levenshtein'; +import { ChatCompletion } from 'openai/resources/chat/completions'; + +const url = 'https://audio-samples.github.io/samples/mp3/blizzard_biased/sample-1.mp3'; +const filename = 'sample-1.mp3'; + +const correctAnswer = + 'It was anxious to find him no one that expectation of a man who were giving his father enjoyment. But he was avoided in sight in the minister to which indeed,'; +const model = 'whisper-1'; + +const client = new OpenAI(); + +async function typeTests() { + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: { foo: true }, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: null, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: 'test', model: 'whisper-1' }); +} + +declare global { + namespace jest { + interface Matchers { + toBeSimilarTo(comparedTo: string, expectedDistance: number): R; + } + } +} +expect.extend({ + toBeSimilarTo(received, comparedTo: string, expectedDistance: number) { + const message = () => + [ + `Received: ${JSON.stringify(received)}`, + `Expected: ${JSON.stringify(comparedTo)}`, + `Expected distance: ${expectedDistance}`, + `Received distance: ${actualDistance}`, + ].join('\n'); + + const actualDistance = distance(received, comparedTo); + if (actualDistance < expectedDistance) { + return { + message, + pass: true, + }; + } + + return { + message, + pass: false, + }; + }, +}); + +it(`raw response`, async function () { + const response = await client.chat.completions + .create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + }) + .asResponse(); + + // test that we can use web Response API + const { body } = response; + if (!body) throw new Error('expected response.body to be defined'); + + const reader = body.getReader(); + const chunks: Uint8Array[] = []; + let result; + do { + result = await reader.read(); + if (!result.done) chunks.push(result.value); + } while (!result.done); + + reader.releaseLock(); + + let offset = 0; + const merged = new Uint8Array(chunks.reduce((total, chunk) => total + chunk.length, 0)); + for (const chunk of chunks) { + merged.set(chunk, offset); + offset += chunk.length; + } + + const json: ChatCompletion = JSON.parse(new TextDecoder().decode(merged)); + expect(json.choices[0]?.message.content || '').toBeSimilarTo('This is a test', 10); +}); + +it(`streaming works`, async function () { + const stream = await client.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + stream: true, + }); + const chunks = []; + for await (const part of stream) { + chunks.push(part); + } + expect(chunks.map((c) => c.choices[0]?.delta.content || '').join('')).toBeSimilarTo('This is a test', 10); +}); + +if (typeof File !== 'undefined') { + it('handles builtinFile', async function () { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + .then((x) => new File([x], filename)); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); + }); +} + +it('handles Response', async function () { + const file = await fetch(url); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +const fineTune = `{"prompt": "", "completion": ""}`; + +describe('toFile', () => { + if (typeof Blob !== 'undefined') { + it('handles builtin Blob', async function () { + const result = await client.files.create({ + file: await toFile(new Blob([new TextEncoder().encode(fineTune)]), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + } + it('handles Uint8Array', async function () { + const result = await client.files.create({ + file: await toFile(new TextEncoder().encode(fineTune), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + it('handles ArrayBuffer', async function () { + const result = await client.files.create({ + file: await toFile(new TextEncoder().encode(fineTune).buffer, 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + it('handles DataView', async function () { + const result = await client.files.create({ + file: await toFile(new DataView(new TextEncoder().encode(fineTune).buffer), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); +}); + +test('query strings', () => { + expect( + decodeURIComponent((client as any).stringifyQuery({ foo: { nested: { a: true, b: 'foo' } } })), + ).toEqual('foo[nested][a]=true&foo[nested][b]=foo'); + expect( + decodeURIComponent((client as any).stringifyQuery({ foo: { nested: { a: ['hello', 'world'] } } })), + ).toEqual('foo[nested][a][]=hello&foo[nested][a][]=world'); +}); diff --git a/ecosystem-tests/node-ts-cjs-web/tsconfig.json b/ecosystem-tests/node-ts-cjs-web/tsconfig.json new file mode 100644 index 000000000..7f3d49978 --- /dev/null +++ b/ecosystem-tests/node-ts-cjs-web/tsconfig.json @@ -0,0 +1,54 @@ +{ + "include": ["tests/*.ts"], + + "compilerOptions": { + /* Visit https://aka.ms/tsconfig.json to read more about this file */ + /* Projects */ + "incremental": true, + + /* Language and Environment */ + "target": "ES2022", + "lib": ["ES2022", "DOM"], + "jsx": "react", + + /* Modules */ + "module": "commonjs", + "rootDir": "./", + "moduleResolution": "node", + "baseUrl": "./", + "paths": { + "~/*": ["*"] + }, + "resolveJsonModule": true, + "composite": true, + + /* Emit */ + "outDir": "node_modules", + "noEmit": true, + + /* Interop Constraints */ + "isolatedModules": true, + "allowSyntheticDefaultImports": true, + /* "esModuleInterop": true, */ + "forceConsistentCasingInFileNames": true, + "allowJs": true, + "checkJs": true, + + /* Experimental Features */ + "experimentalDecorators": true, + + /* Type Checking */ + "strict": true, + "noImplicitAny": true, + "strictNullChecks": true, + "strictFunctionTypes": true, + "strictBindCallApply": true, + "strictPropertyInitialization": true, + "noImplicitThis": true, + "alwaysStrict": true, + "noUncheckedIndexedAccess": true, + "noImplicitOverride": true, + "noPropertyAccessFromIndexSignature": true, + "skipLibCheck": true + } +} diff --git a/ecosystem-tests/node-ts-cjs-web/tsconfig.nodenext.json b/ecosystem-tests/node-ts-cjs-web/tsconfig.nodenext.json new file mode 100644 index 000000000..4c4cfd451 --- /dev/null +++ b/ecosystem-tests/node-ts-cjs-web/tsconfig.nodenext.json @@ -0,0 +1,54 @@ +{ + "include": ["tests/*.ts"], + + "compilerOptions": { + /* Visit https://aka.ms/tsconfig.json to read more about this file */ + /* Projects */ + "incremental": true, + + /* Language and Environment */ + "target": "ES2022", + "lib": ["ES2022", "DOM"], + "jsx": "react", + + /* Modules */ + "module": "commonjs", + "rootDir": "./", + "moduleResolution": "NodeNext", + "baseUrl": "./", + "paths": { + "~/*": ["*"] + }, + "resolveJsonModule": true, + "composite": true, + + /* Emit */ + "outDir": "node_modules", + "noEmit": true, + + /* Interop Constraints */ + "isolatedModules": true, + "allowSyntheticDefaultImports": true, + /* "esModuleInterop": true, */ + "forceConsistentCasingInFileNames": true, + "allowJs": true, + "checkJs": true, + + /* Experimental Features */ + "experimentalDecorators": true, + + /* Type Checking */ + "strict": true, + "noImplicitAny": true, + "strictNullChecks": true, + "strictFunctionTypes": true, + "strictBindCallApply": true, + "strictPropertyInitialization": true, + "noImplicitThis": true, + "alwaysStrict": true, + "noUncheckedIndexedAccess": true, + "noImplicitOverride": true, + "noPropertyAccessFromIndexSignature": true, + "skipLibCheck": true + } +} diff --git a/ecosystem-tests/node-ts-cjs/jest.config.cjs b/ecosystem-tests/node-ts-cjs/jest.config.cjs new file mode 100644 index 000000000..b08ea4311 --- /dev/null +++ b/ecosystem-tests/node-ts-cjs/jest.config.cjs @@ -0,0 +1,9 @@ +/** @type {import('ts-jest/dist/types').InitialOptionsTsJest} */ +module.exports = { + preset: 'ts-jest', + testEnvironment: 'node', + testMatch: ['/tests/*.ts'], + watchPathIgnorePatterns: ['/node_modules/'], + verbose: false, + testTimeout: 60000, +}; diff --git a/ecosystem-tests/node-ts-cjs/package-lock.json b/ecosystem-tests/node-ts-cjs/package-lock.json new file mode 100644 index 000000000..2f5374e35 --- /dev/null +++ b/ecosystem-tests/node-ts-cjs/package-lock.json @@ -0,0 +1,4502 @@ +{ + "name": "node-ts-cjs", + "version": "0.0.1", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "node-ts-cjs", + "version": "0.0.1", + "dependencies": { + "formdata-node": "^4.4.1", + "node-fetch": "^2.6.1", + "tsconfig-paths": "^4.0.0" + }, + "devDependencies": { + "@types/node": "20.4.2", + "@types/node-fetch": "^2.6.1", + "@types/ws": "^8.5.4", + "fastest-levenshtein": "^1.0.16", + "jest": "^29.5.0", + "jest-environment-jsdom": "^29.7.0", + "text-encoding-polyfill": "^0.6.7", 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"node-ts-cjs", + "version": "0.0.1", + "main": "index.js", + "private": true, + "scripts": { + "tsc": "tsc && tsc -p tsconfig.nodenext.json && tsc -p node_modules/openai/src/tsconfig.json", + "test": "jest" + }, + "dependencies": { + "formdata-node": "^4.4.1", + "node-fetch": "^2.6.1", + "tsconfig-paths": "^4.0.0" + }, + "devDependencies": { + "@types/node": "20.4.2", + "@types/node-fetch": "^2.6.1", + "@types/ws": "^8.5.4", + "fastest-levenshtein": "^1.0.16", + "jest": "^29.5.0", + "jest-environment-jsdom": "^29.7.0", + "text-encoding-polyfill": "^0.6.7", + "ts-jest": "^29.1.0", + "typescript": "4.7.4" + }, + "overrides": { + "@types/node": "20.4.2" + } +} diff --git a/ecosystem-tests/node-ts-cjs/sample1.mp3 b/ecosystem-tests/node-ts-cjs/sample1.mp3 new file mode 100644 index 000000000..1e787cd7c Binary files /dev/null and b/ecosystem-tests/node-ts-cjs/sample1.mp3 differ diff --git a/ecosystem-tests/node-ts-cjs/tests/late-shim-errors.ts b/ecosystem-tests/node-ts-cjs/tests/late-shim-errors.ts new file mode 100644 index 000000000..6b9c4d95c --- /dev/null +++ b/ecosystem-tests/node-ts-cjs/tests/late-shim-errors.ts @@ -0,0 +1,8 @@ +export {}; + +test('throws if shims are imported after openai', async () => { + await import('openai'); + await expect(() => import('openai/shims/web')).rejects.toThrow( + `you must \`import 'openai/shims/web'\` before importing anything else from openai`, + ); +}); diff --git a/ecosystem-tests/node-ts-cjs/tests/multiple-shim-errors.ts b/ecosystem-tests/node-ts-cjs/tests/multiple-shim-errors.ts new file mode 100644 index 000000000..92261fd58 --- /dev/null +++ b/ecosystem-tests/node-ts-cjs/tests/multiple-shim-errors.ts @@ -0,0 +1,8 @@ +export {}; + +test('throws if multiple shims are imported', async () => { + await import('openai/shims/node'); + await expect(() => import('openai/shims/web')).rejects.toThrow( + `can't \`import 'openai/shims/web'\` after \`import 'openai/shims/node'\``, + ); +}); diff --git a/ecosystem-tests/node-ts-cjs/tests/shims.ts b/ecosystem-tests/node-ts-cjs/tests/shims.ts new file mode 100644 index 000000000..d0b04bac5 --- /dev/null +++ b/ecosystem-tests/node-ts-cjs/tests/shims.ts @@ -0,0 +1,12 @@ +import 'openai/shims/node'; +import * as shims from 'openai/_shims/index'; +import * as fd from 'formdata-node'; + +function typeTests(x: shims.Request) { + const url: string = x.url; +} + +test('openai/shims/node', () => { + expect(shims.kind).toEqual('node'); + expect(shims.File).toBe(fd.File); +}); diff --git a/ecosystem-tests/node-ts-cjs/tests/test-jsdom-compat-error.ts b/ecosystem-tests/node-ts-cjs/tests/test-jsdom-compat-error.ts new file mode 100644 index 000000000..066fc3dc2 --- /dev/null +++ b/ecosystem-tests/node-ts-cjs/tests/test-jsdom-compat-error.ts @@ -0,0 +1,11 @@ +/** + * @jest-environment jsdom + */ + +export {}; + +it(`throws when fetch API types are missing`, async () => { + await expect(() => import('openai')).rejects.toThrow( + 'this environment is missing the following Web Fetch API type', + ); +}); diff --git a/ecosystem-tests/node-ts-cjs/tests/test-jsdom.ts b/ecosystem-tests/node-ts-cjs/tests/test-jsdom.ts new file mode 100644 index 000000000..15b9df7c9 --- /dev/null +++ b/ecosystem-tests/node-ts-cjs/tests/test-jsdom.ts @@ -0,0 +1,155 @@ +/** + * @jest-environment jsdom + */ +import 'openai/shims/node'; +import OpenAI, { toFile } from 'openai'; +import fetch from 'node-fetch'; +import { distance } from 'fastest-levenshtein'; +// @ts-ignore +import { TextEncoder } from 'text-encoding-polyfill'; + +const url = 'https://audio-samples.github.io/samples/mp3/blizzard_biased/sample-1.mp3'; +const filename = 'sample-1.mp3'; + +const correctAnswer = + 'It was anxious to find him no one that expectation of a man who were giving his father enjoyment. But he was avoided in sight in the minister to which indeed,'; +const model = 'whisper-1'; + +const client = new OpenAI({ apiKey: process.env['OPENAI_API_KEY'], dangerouslyAllowBrowser: true }); + +async function typeTests() { + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: { foo: true }, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: null, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: 'test', model: 'whisper-1' }); +} + +declare global { + namespace jest { + interface Matchers { + toBeSimilarTo(comparedTo: string, expectedDistance: number): R; + } + } +} +expect.extend({ + toBeSimilarTo(received, comparedTo: string, expectedDistance: number) { + const message = () => + [ + `Received: ${JSON.stringify(received)}`, + `Expected: ${JSON.stringify(comparedTo)}`, + `Expected distance: ${expectedDistance}`, + `Received distance: ${actualDistance}`, + ].join('\n'); + + const actualDistance = distance(received, comparedTo); + if (actualDistance < expectedDistance) { + return { + message, + pass: true, + }; + } + + return { + message, + pass: false, + }; + }, +}); + +test(`basic request works`, async function () { + const completion = await client.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + }); + expect(completion.choices[0]?.message?.content).toBeSimilarTo('This is a test', 10); +}); + +it(`streaming works`, async function () { + const stream = await client.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + stream: true, + }); + const chunks = []; + for await (const part of stream) { + chunks.push(part); + } + expect(chunks.map((c) => c.choices[0]?.delta.content || '').join('')).toBeSimilarTo('This is a test', 10); +}); + +it.skip('handles builtinFile', async function () { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + // @ts-ignore avoid DOM lib for testing purposes + .then((x) => new File([x], filename)); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +it.skip('handles Response', async function () { + const file = await fetch(url); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +const fineTune = `{"prompt": "", "completion": ""}`; + +describe.skip('toFile', () => { + it('handles builtin Blob', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new Blob([new TextEncoder().encode(fineTune)]), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + it('handles Uint8Array', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new TextEncoder().encode(fineTune), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + it('handles ArrayBuffer', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new TextEncoder().encode(fineTune).buffer, + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + it('handles DataView', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new DataView(new TextEncoder().encode(fineTune).buffer), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); +}); + +test('query strings', () => { + expect( + decodeURIComponent((client as any).stringifyQuery({ foo: { nested: { a: true, b: 'foo' } } })), + ).toEqual('foo[nested][a]=true&foo[nested][b]=foo'); + expect( + decodeURIComponent((client as any).stringifyQuery({ foo: { nested: { a: ['hello', 'world'] } } })), + ).toEqual('foo[nested][a][]=hello&foo[nested][a][]=world'); +}); diff --git a/ecosystem-tests/node-ts-cjs/tests/test-node.ts b/ecosystem-tests/node-ts-cjs/tests/test-node.ts new file mode 100644 index 000000000..3f6e5d572 --- /dev/null +++ b/ecosystem-tests/node-ts-cjs/tests/test-node.ts @@ -0,0 +1,203 @@ +import 'openai/shims/node'; +import OpenAI, { toFile } from 'openai'; +import { TranscriptionCreateParams } from 'openai/resources/audio/transcriptions'; +import fetch from 'node-fetch'; +import { File as FormDataFile, Blob as FormDataBlob } from 'formdata-node'; +import * as fs from 'fs'; +import { distance } from 'fastest-levenshtein'; +import { ChatCompletion } from 'openai/resources/chat/completions'; + +const url = 'https://audio-samples.github.io/samples/mp3/blizzard_biased/sample-1.mp3'; +const filename = 'sample-1.mp3'; + +const correctAnswer = + 'It was anxious to find him no one that expectation of a man who were giving his father enjoyment. But he was avoided in sight in the minister to which indeed,'; +const model = 'whisper-1'; + +const client = new OpenAI(); + +async function typeTests() { + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: { foo: true }, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: null, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: 'test', model: 'whisper-1' }); +} + +declare global { + namespace jest { + interface Matchers { + toBeSimilarTo(comparedTo: string, expectedDistance: number): R; + } + } +} +expect.extend({ + toBeSimilarTo(received, comparedTo: string, expectedDistance: number) { + const message = () => + [ + `Received: ${JSON.stringify(received)}`, + `Expected: ${JSON.stringify(comparedTo)}`, + `Expected distance: ${expectedDistance}`, + `Received distance: ${actualDistance}`, + ].join('\n'); + + const actualDistance = distance(received, comparedTo); + if (actualDistance < expectedDistance) { + return { + message, + pass: true, + }; + } + + return { + message, + pass: false, + }; + }, +}); + +it(`raw response`, async function () { + const response = await client.chat.completions + .create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + }) + .asResponse(); + + // test that we can use node-fetch Response API + const chunks: string[] = []; + response.body.on('data', (chunk) => chunks.push(chunk)); + await new Promise((resolve, reject) => { + response.body.once('end', resolve); + response.body.once('error', reject); + }); + const json: ChatCompletion = JSON.parse(chunks.join('')); + expect(json.choices[0]?.message.content || '').toBeSimilarTo('This is a test', 10); +}); + +it(`streaming works`, async function () { + const stream = await client.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + stream: true, + }); + const chunks = []; + for await (const part of stream) { + chunks.push(part); + } + expect(chunks.map((c) => c.choices[0]?.delta.content || '').join('')).toBeSimilarTo('This is a test', 10); +}); + +it('handles formdata-node File', async function () { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + .then((x) => new FormDataFile([x], filename)); + + const params: TranscriptionCreateParams = { file, model }; + + const result = await client.audio.transcriptions.create(params); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +// @ts-ignore avoid DOM lib for testing purposes +if (typeof File !== 'undefined') { + it('handles builtinFile', async function () { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + // @ts-ignore avoid DOM lib for testing purposes + .then((x) => new File([x], filename)); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); + }); +} + +it('handles Response', async function () { + const file = await fetch(url); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +it('handles fs.ReadStream', async function () { + const result = await client.audio.transcriptions.create({ + file: fs.createReadStream('sample1.mp3'), + model, + }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +const fineTune = `{"prompt": "", "completion": ""}`; + +describe('toFile', () => { + it('handles form-data Blob', async function () { + const result = await client.files.create({ + file: await toFile( + new FormDataBlob([ + // @ts-ignore avoid DOM lib for testing purposes + new TextEncoder().encode(fineTune), + ]), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + // @ts-ignore avoid DOM lib for testing purposes + if (typeof Blob !== 'undefined') { + it('handles builtin Blob', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new Blob([new TextEncoder().encode(fineTune)]), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + } + it('handles Uint8Array', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new TextEncoder().encode(fineTune), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + it('handles ArrayBuffer', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new TextEncoder().encode(fineTune).buffer, + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + it('handles DataView', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new DataView(new TextEncoder().encode(fineTune).buffer), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); +}); + +test('query strings', () => { + expect( + decodeURIComponent((client as any).stringifyQuery({ foo: { nested: { a: true, b: 'foo' } } })), + ).toEqual('foo[nested][a]=true&foo[nested][b]=foo'); + expect( + decodeURIComponent((client as any).stringifyQuery({ foo: { nested: { a: ['hello', 'world'] } } })), + ).toEqual('foo[nested][a][]=hello&foo[nested][a][]=world'); +}); diff --git a/ecosystem-tests/node-ts-cjs/tsconfig.json b/ecosystem-tests/node-ts-cjs/tsconfig.json new file mode 100644 index 000000000..d1ad90efd --- /dev/null +++ b/ecosystem-tests/node-ts-cjs/tsconfig.json @@ -0,0 +1,55 @@ +{ + "include": ["tests/*.ts"], + "exclude": ["tests/*-shim-errors.ts"], + + "compilerOptions": { + /* Visit https://aka.ms/tsconfig.json to read more about this file */ + /* Projects */ + "incremental": true, + + /* Language and Environment */ + "target": "ES2015", + "lib": ["ES2015"], + "jsx": "react", + + /* Modules */ + "module": "commonjs", + "rootDir": "./", + "moduleResolution": "node", + "baseUrl": "./", + "paths": { + "~/*": ["*"] + }, + "resolveJsonModule": true, + "composite": true, + + /* Emit */ + "outDir": "node_modules", + "noEmit": true, + + /* Interop Constraints */ + "isolatedModules": true, + "allowSyntheticDefaultImports": true, + /* "esModuleInterop": true, */ + "forceConsistentCasingInFileNames": true, + "allowJs": true, + "checkJs": true, + + /* Experimental Features */ + "experimentalDecorators": true, + + /* Type Checking */ + "strict": true, + "noImplicitAny": true, + "strictNullChecks": true, + "strictFunctionTypes": true, + "strictBindCallApply": true, + "strictPropertyInitialization": true, + "noImplicitThis": true, + "alwaysStrict": true, + "noUncheckedIndexedAccess": true, + "noImplicitOverride": true, + "noPropertyAccessFromIndexSignature": true, + "skipLibCheck": false + } +} diff --git a/ecosystem-tests/node-ts-cjs/tsconfig.nodenext.json b/ecosystem-tests/node-ts-cjs/tsconfig.nodenext.json new file mode 100644 index 000000000..0efe77b4e --- /dev/null +++ b/ecosystem-tests/node-ts-cjs/tsconfig.nodenext.json @@ -0,0 +1,55 @@ +{ + "include": ["tests/*.ts"], + "exclude": ["tests/*-shim-errors.ts"], + + "compilerOptions": { + /* Visit https://aka.ms/tsconfig.json to read more about this file */ + /* Projects */ + "incremental": true, + + /* Language and Environment */ + "target": "ES2015", + "lib": ["ES2015"], + "jsx": "react", + + /* Modules */ + "module": "commonjs", + "rootDir": "./", + "moduleResolution": "NodeNext", + "baseUrl": "./", + "paths": { + "~/*": ["*"] + }, + "resolveJsonModule": true, + "composite": true, + + /* Emit */ + "outDir": "node_modules", + "noEmit": true, + + /* Interop Constraints */ + "isolatedModules": true, + "allowSyntheticDefaultImports": true, + /* "esModuleInterop": true, */ + "forceConsistentCasingInFileNames": true, + "allowJs": true, + "checkJs": true, + + /* Experimental Features */ + "experimentalDecorators": true, + + /* Type Checking */ + "strict": true, + "noImplicitAny": true, + "strictNullChecks": true, + "strictFunctionTypes": true, + "strictBindCallApply": true, + "strictPropertyInitialization": true, + "noImplicitThis": true, + "alwaysStrict": true, + "noUncheckedIndexedAccess": true, + "noImplicitOverride": true, + "noPropertyAccessFromIndexSignature": true, + "skipLibCheck": false + } +} diff --git a/ecosystem-tests/node-ts-es2020/index.ts b/ecosystem-tests/node-ts-es2020/index.ts new file mode 100644 index 000000000..d92cc2720 --- /dev/null +++ b/ecosystem-tests/node-ts-es2020/index.ts @@ -0,0 +1,36 @@ +import { zodResponseFormat } from 'openai/helpers/zod'; +import OpenAI from 'openai/index'; +import { z } from 'zod'; + +const Step = z.object({ + explanation: z.string(), + output: z.string(), +}); + +const MathResponse = z.object({ + steps: z.array(Step), + final_answer: z.string(), +}); + +async function main() { + const client = new OpenAI(); + + const completion = await client.beta.chat.completions.parse({ + model: 'gpt-4o-2024-08-06', + messages: [ + { role: 'system', content: 'You are a helpful math tutor.' }, + { role: 'user', content: 'solve 8x + 31 = 2' }, + ], + response_format: zodResponseFormat(MathResponse, 'math_response'), + }); + + console.dir(completion, { depth: 5 }); + + const message = completion.choices[0]?.message; + if (message?.parsed) { + console.log(message.parsed.steps); + console.log(`answer: ${message.parsed.final_answer}`); + } +} + +main(); diff --git 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"dependencies": { + "ts-node": "^10.9.2", + "zod": "^3.23.8" + }, + "overrides": { + "@types/node": "20.4.2" + } +} diff --git a/ecosystem-tests/node-ts-es2020/tsconfig.base.json b/ecosystem-tests/node-ts-es2020/tsconfig.base.json new file mode 100644 index 000000000..8edad9422 --- /dev/null +++ b/ecosystem-tests/node-ts-es2020/tsconfig.base.json @@ -0,0 +1,37 @@ +{ + "compilerOptions": { + "target": "es2020", + "module": "commonjs", + "lib": ["es2020", "dom"], + "allowJs": false, + "declaration": true, + "declarationMap": true, + "sourceMap": true, + "removeComments": true, + "forceConsistentCasingInFileNames": true, + "downlevelIteration": true, + "strict": true, + "moduleResolution": "node", + "paths": {}, + "typeRoots": ["node_modules/@types"], + "types": ["node"], + "allowSyntheticDefaultImports": false, + "experimentalDecorators": true, + "emitDecoratorMetadata": true, + "resolveJsonModule": true, + "incremental": true, + "strictBindCallApply": true, + "strictFunctionTypes": true, + "strictNullChecks": true, + "strictPropertyInitialization": true, + "noImplicitAny": true, + "noImplicitThis": true, + "noImplicitReturns": true, + "noUnusedParameters": true, + "noUnusedLocals": true, + "noFallthroughCasesInSwitch": true, + "preserveSymlinks": true, + "suppressImplicitAnyIndexErrors": true + }, + "exclude": ["node_modules"] +} diff --git a/ecosystem-tests/node-ts-es2020/tsconfig.json b/ecosystem-tests/node-ts-es2020/tsconfig.json new file mode 100644 index 000000000..aa3b68f53 --- /dev/null +++ b/ecosystem-tests/node-ts-es2020/tsconfig.json @@ -0,0 +1,18 @@ +{ + "extends": "./tsconfig.base.json", + "ts-node": { + "swc": true, + "transpileOnly": true + }, + "compilerOptions": { + "declaration": false, + "declarationMap": false, + "allowJs": true, + "checkJs": false, + "outDir": "./dist", + "baseUrl": "./", + "types": ["node", "jest"], + "paths": {} + }, + "include": ["index.ts", "tsconfig.json", "jest.config.ts", ".eslintrc.js"] +} diff --git a/ecosystem-tests/node-ts-es2020/tsconfig.nodenext.json b/ecosystem-tests/node-ts-es2020/tsconfig.nodenext.json new file mode 100644 index 000000000..97df071fb --- /dev/null +++ b/ecosystem-tests/node-ts-es2020/tsconfig.nodenext.json @@ -0,0 +1,55 @@ +{ + "include": ["tests/*.ts", "index.ts"], + "exclude": ["tests/*-shim-errors.ts"], + + "compilerOptions": { + /* Visit https://aka.ms/tsconfig.json to read more about this file */ + /* Projects */ + "incremental": true, + + /* Language and Environment */ + "target": "ES2015", + "lib": ["ES2015"], + "jsx": "react", + + /* Modules */ + "module": "commonjs", + "rootDir": "./", + "moduleResolution": "NodeNext", + "baseUrl": "./", + "paths": { + "~/*": ["*"] + }, + "resolveJsonModule": true, + "composite": true, + + /* Emit */ + "outDir": "node_modules", + "noEmit": true, + + /* Interop Constraints */ + "isolatedModules": true, + "allowSyntheticDefaultImports": true, + /* "esModuleInterop": true, */ + "forceConsistentCasingInFileNames": true, + "allowJs": true, + "checkJs": true, + + /* Experimental Features */ + "experimentalDecorators": true, + + /* Type Checking */ + "strict": true, + "noImplicitAny": true, + "strictNullChecks": true, + "strictFunctionTypes": true, + "strictBindCallApply": true, + "strictPropertyInitialization": true, + "noImplicitThis": true, + "alwaysStrict": true, + "noUncheckedIndexedAccess": true, + "noImplicitOverride": true, + "noPropertyAccessFromIndexSignature": true, + "skipLibCheck": false + } +} diff --git a/ecosystem-tests/node-ts-esm-auto/esnext-type-tests.ts b/ecosystem-tests/node-ts-esm-auto/esnext-type-tests.ts new file mode 100644 index 000000000..c47ddc2a5 --- /dev/null +++ b/ecosystem-tests/node-ts-esm-auto/esnext-type-tests.ts @@ -0,0 +1,5 @@ +import * as shims from 'openai/_shims/index'; + +function typeTests(x: shims.Request) { + const url: string = x.url; +} diff --git a/ecosystem-tests/node-ts-esm-auto/jest.config.cjs b/ecosystem-tests/node-ts-esm-auto/jest.config.cjs new file mode 100644 index 000000000..31e0a832f --- /dev/null +++ b/ecosystem-tests/node-ts-esm-auto/jest.config.cjs @@ -0,0 +1,23 @@ +/** @type {import('ts-jest/dist/types').InitialOptionsTsJest} */ +module.exports = { + extensionsToTreatAsEsm: ['.ts'], + moduleNameMapper: { + '^(\\.{1,2}/.*)\\.js$': '$1', + }, + transform: { + // '^.+\\.[tj]sx?$' to process js/ts with `ts-jest` + // '^.+\\.m?[tj]sx?$' to process js/ts/mjs/mts with `ts-jest` + '^.+\\.tsx?$': [ + 'ts-jest', + { + useESM: true, + diagnostics: false, + }, + ], + }, + testEnvironment: 'node', + testMatch: ['/tests/*.ts'], + watchPathIgnorePatterns: ['/node_modules/'], + verbose: false, + testTimeout: 60000, +}; diff --git a/ecosystem-tests/node-ts-esm-auto/package-lock.json b/ecosystem-tests/node-ts-esm-auto/package-lock.json new file mode 100644 index 000000000..3e4438d05 --- /dev/null +++ b/ecosystem-tests/node-ts-esm-auto/package-lock.json @@ -0,0 +1,4006 @@ +{ + "name": "node-ts-esm-auto", + "version": "0.0.1", + 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"scripts": { + "tsc": "tsc", + "test": "node --experimental-vm-modules node_modules/jest/bin/jest.js" + }, + "dependencies": { + "formdata-node": "^5.0.1", + "node-fetch": "^3.0.0" + }, + "devDependencies": { + "@types/node": "^20.3.1", + "fastest-levenshtein": "^1.0.16", + "jest": "^29.5.0", + "ts-jest": "^29.1.0", + "ts-node": "^10.9.1", + "typescript": "4.7.4" + } +} diff --git a/ecosystem-tests/node-ts-esm-auto/sample1.mp3 b/ecosystem-tests/node-ts-esm-auto/sample1.mp3 new file mode 100644 index 000000000..1e787cd7c Binary files /dev/null and b/ecosystem-tests/node-ts-esm-auto/sample1.mp3 differ diff --git a/ecosystem-tests/node-ts-esm-auto/tests/shims.ts b/ecosystem-tests/node-ts-esm-auto/tests/shims.ts new file mode 100644 index 000000000..aed8e6497 --- /dev/null +++ b/ecosystem-tests/node-ts-esm-auto/tests/shims.ts @@ -0,0 +1,5 @@ +import * as shims from 'openai/_shims/index'; + +test('openai/shims/node', () => { + expect(shims.kind).toEqual('node'); +}); diff --git a/ecosystem-tests/node-ts-esm-auto/tests/test.ts b/ecosystem-tests/node-ts-esm-auto/tests/test.ts new file mode 100644 index 000000000..88beb2f54 --- /dev/null +++ b/ecosystem-tests/node-ts-esm-auto/tests/test.ts @@ -0,0 +1,205 @@ +import 'openai/shims/node'; +import OpenAI, { toFile } from 'openai'; +import { TranscriptionCreateParams } from 'openai/resources/audio/transcriptions'; +import fetch from 'node-fetch'; +import { File as FormDataFile, Blob as FormDataBlob } from 'formdata-node'; +import * as fs from 'fs'; +import { distance } from 'fastest-levenshtein'; +import { ChatCompletion } from 'openai/resources/chat/completions'; + +const url = 'https://audio-samples.github.io/samples/mp3/blizzard_biased/sample-1.mp3'; +const filename = 'sample-1.mp3'; + +const correctAnswer = + 'It was anxious to find him no one that expectation of a man who were giving his father enjoyment. But he was avoided in sight in the minister to which indeed,'; +const model = 'whisper-1'; + +const client = new OpenAI(); + +async function typeTests() { + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: { foo: true }, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: null, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: 'test', model: 'whisper-1' }); +} + +declare global { + namespace jest { + interface Matchers { + toBeSimilarTo(comparedTo: string, expectedDistance: number): R; + } + } +} +expect.extend({ + toBeSimilarTo(received, comparedTo: string, expectedDistance: number) { + const message = () => + [ + `Received: ${JSON.stringify(received)}`, + `Expected: ${JSON.stringify(comparedTo)}`, + `Expected distance: ${expectedDistance}`, + `Received distance: ${actualDistance}`, + ].join('\n'); + + const actualDistance = distance(received, comparedTo); + if (actualDistance < expectedDistance) { + return { + message, + pass: true, + }; + } + + return { + message, + pass: false, + }; + }, +}); + +it(`raw response`, async function () { + const response = await client.chat.completions + .create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + }) + .asResponse(); + + // test that we can use node-fetch Response API + const chunks: string[] = []; + const { body } = response; + if (!body) throw new Error(`expected response.body to be defined`); + body.on('data', (chunk) => chunks.push(chunk)); + await new Promise((resolve, reject) => { + body.once('end', resolve); + body.once('error', reject); + }); + const json: ChatCompletion = JSON.parse(chunks.join('')); + expect(json.choices[0]?.message.content || '').toBeSimilarTo('This is a test', 10); +}); + +it(`streaming works`, async function () { + const stream = await client.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + stream: true, + }); + const chunks = []; + for await (const part of stream) { + chunks.push(part); + } + expect(chunks.map((c) => c.choices[0]?.delta.content || '').join('')).toBeSimilarTo('This is a test', 10); +}); + +it('handles formdata-node File', async function () { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + .then((x) => new FormDataFile([x], filename)); + + const params: TranscriptionCreateParams = { file, model }; + + const result = await client.audio.transcriptions.create(params); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +// @ts-ignore avoid DOM lib for testing purposes +if (typeof File !== 'undefined') { + it('handles builtinFile', async function () { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + // @ts-ignore avoid DOM lib for testing purposes + .then((x) => new File([x], filename)); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); + }); +} + +it('handles Response', async function () { + const file = await fetch(url); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +it('handles fs.ReadStream', async function () { + const result = await client.audio.transcriptions.create({ + file: fs.createReadStream('sample1.mp3'), + model, + }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +const fineTune = `{"prompt": "", "completion": ""}`; + +describe('toFile', () => { + it('handles form-data Blob', async function () { + const result = await client.files.create({ + file: await toFile( + new FormDataBlob([ + // @ts-ignore avoid DOM lib for testing purposes + new TextEncoder().encode(fineTune), + ]), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + // @ts-ignore avoid DOM lib for testing purposes + if (typeof Blob !== 'undefined') { + it('handles builtin Blob', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new Blob([new TextEncoder().encode(fineTune)]), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + } + it('handles Uint8Array', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new TextEncoder().encode(fineTune), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + it('handles ArrayBuffer', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new TextEncoder().encode(fineTune).buffer, + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + it('handles DataView', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new DataView(new TextEncoder().encode(fineTune).buffer), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); +}); + +test('query strings', () => { + expect( + decodeURIComponent((client as any).stringifyQuery({ foo: { nested: { a: true, b: 'foo' } } })), + ).toEqual('foo[nested][a]=true&foo[nested][b]=foo'); + expect( + decodeURIComponent((client as any).stringifyQuery({ foo: { nested: { a: ['hello', 'world'] } } })), + ).toEqual('foo[nested][a][]=hello&foo[nested][a][]=world'); +}); diff --git a/ecosystem-tests/node-ts-esm-auto/tsconfig.json b/ecosystem-tests/node-ts-esm-auto/tsconfig.json new file mode 100644 index 000000000..7e7c45459 --- /dev/null +++ b/ecosystem-tests/node-ts-esm-auto/tsconfig.json @@ -0,0 +1,54 @@ +{ + "include": ["tests/*.ts", "*.ts"], + + "compilerOptions": { + /* Visit https://aka.ms/tsconfig.json to read more about this file */ + /* Projects */ + "incremental": true, + + /* Language and Environment */ + "target": "ES2022", + "lib": ["ES2022"], + "jsx": "react", + + /* Modules */ + "module": "ESNext", + "rootDir": "./", + "moduleResolution": "NodeNext", + "baseUrl": "./", + "paths": { + "~/*": ["*"] + }, + "resolveJsonModule": true, + "composite": true, + + /* Emit */ + "outDir": "node_modules", + "noEmit": true, + + /* Interop Constraints */ + "isolatedModules": true, + "allowSyntheticDefaultImports": true, + /* "esModuleInterop": true, */ + "forceConsistentCasingInFileNames": true, + "allowJs": true, + "checkJs": true, + + /* Experimental Features */ + "experimentalDecorators": true, + + /* Type Checking */ + "strict": true, + "noImplicitAny": true, + "strictNullChecks": true, + "strictFunctionTypes": true, + "strictBindCallApply": true, + "strictPropertyInitialization": true, + "noImplicitThis": true, + "alwaysStrict": true, + "noUncheckedIndexedAccess": true, + "noImplicitOverride": true, + "noPropertyAccessFromIndexSignature": true, + "skipLibCheck": true + } +} diff --git a/ecosystem-tests/node-ts-esm-web/jest.config.cjs b/ecosystem-tests/node-ts-esm-web/jest.config.cjs new file mode 100644 index 000000000..31e0a832f --- /dev/null +++ b/ecosystem-tests/node-ts-esm-web/jest.config.cjs @@ -0,0 +1,23 @@ +/** @type {import('ts-jest/dist/types').InitialOptionsTsJest} */ +module.exports = { + extensionsToTreatAsEsm: ['.ts'], + moduleNameMapper: { + '^(\\.{1,2}/.*)\\.js$': '$1', + }, + transform: { + // '^.+\\.[tj]sx?$' to process js/ts with `ts-jest` + // '^.+\\.m?[tj]sx?$' to process js/ts/mjs/mts with `ts-jest` + '^.+\\.tsx?$': [ + 'ts-jest', + { + useESM: true, + diagnostics: 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/dev/null +++ b/ecosystem-tests/node-ts-esm-web/package.json @@ -0,0 +1,23 @@ +{ + "name": "node-ts-esm-web", + "version": "0.0.1", + "main": "index.js", + "type": "module", + "private": true, + "scripts": { + "tsc": "tsc && tsc -p tsconfig.noderesolution.json", + "test": "node --experimental-vm-modules node_modules/jest/bin/jest.js" + }, + "dependencies": { + "formdata-node": "^5.0.1", + "node-fetch": "^3.0.0" + }, + "devDependencies": { + "@types/node": "^20.3.1", + "fastest-levenshtein": "^1.0.16", + "jest": "^29.5.0", + "ts-jest": "^29.1.0", + "ts-node": "^10.9.1", + "typescript": "4.7.4" + } +} diff --git a/ecosystem-tests/node-ts-esm-web/sample1.mp3 b/ecosystem-tests/node-ts-esm-web/sample1.mp3 new file mode 100644 index 000000000..1e787cd7c Binary files /dev/null and b/ecosystem-tests/node-ts-esm-web/sample1.mp3 differ diff --git a/ecosystem-tests/node-ts-esm-web/tests/shims.ts b/ecosystem-tests/node-ts-esm-web/tests/shims.ts new file mode 100644 index 000000000..ea219ffb4 --- /dev/null +++ b/ecosystem-tests/node-ts-esm-web/tests/shims.ts @@ -0,0 +1,12 @@ +// shouldn't need extension, but Jest's ESM module resolution is broken +import 'openai/shims/web.mjs'; +import * as shims from 'openai/_shims/index'; + +function typeTests(x: shims.Request) { + const url: string = x.url; +} + +test('openai/shims/node', () => { + expect(shims.kind).toEqual('web'); + expect(shims.File).toEqual(File); +}); diff --git a/ecosystem-tests/node-ts-esm-web/tests/test.ts b/ecosystem-tests/node-ts-esm-web/tests/test.ts new file mode 100644 index 000000000..675fb9a73 --- /dev/null +++ b/ecosystem-tests/node-ts-esm-web/tests/test.ts @@ -0,0 +1,163 @@ +// shouldn't need extension, but Jest's ESM module resolution is broken +import 'openai/shims/web.mjs'; +import OpenAI, { toFile } from 'openai'; +import { distance } from 'fastest-levenshtein'; +import { ChatCompletion } from 'openai/resources/chat/completions'; + +const url = 'https://audio-samples.github.io/samples/mp3/blizzard_biased/sample-1.mp3'; +const filename = 'sample-1.mp3'; + +const correctAnswer = + 'It was anxious to find him no one that expectation of a man who were giving his father enjoyment. But he was avoided in sight in the minister to which indeed,'; +const model = 'whisper-1'; + +const client = new OpenAI(); + +async function typeTests() { + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: { foo: true }, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: null, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: 'test', model: 'whisper-1' }); +} + +declare global { + namespace jest { + interface Matchers { + toBeSimilarTo(comparedTo: string, expectedDistance: number): R; + } + } +} +expect.extend({ + toBeSimilarTo(received, comparedTo: string, expectedDistance: number) { + const message = () => + [ + `Received: ${JSON.stringify(received)}`, + `Expected: ${JSON.stringify(comparedTo)}`, + `Expected distance: ${expectedDistance}`, + `Received distance: ${actualDistance}`, + ].join('\n'); + + const actualDistance = distance(received, comparedTo); + if (actualDistance < expectedDistance) { + return { + message, + pass: true, + }; + } + + return { + message, + pass: false, + }; + }, +}); + +it(`raw response`, async function () { + const response = await client.chat.completions + .create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + }) + .asResponse(); + + // test that we can use web Response API + const { body } = response; + if (!body) throw new Error('expected response.body to be defined'); + + const reader = body.getReader(); + const chunks: Uint8Array[] = []; + let result; + do { + result = await reader.read(); + if (!result.done) chunks.push(result.value); + } while (!result.done); + + reader.releaseLock(); + + let offset = 0; + const merged = new Uint8Array(chunks.reduce((total, chunk) => total + chunk.length, 0)); + for (const chunk of chunks) { + merged.set(chunk, offset); + offset += chunk.length; + } + + const json: ChatCompletion = JSON.parse(new TextDecoder().decode(merged)); + expect(json.choices[0]?.message.content || '').toBeSimilarTo('This is a test', 10); +}); + +it(`streaming works`, async function () { + const stream = await client.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + stream: true, + }); + const chunks = []; + for await (const part of stream) { + chunks.push(part); + } + expect(chunks.map((c) => c.choices[0]?.delta.content || '').join('')).toBeSimilarTo('This is a test', 10); +}); + +if (typeof File !== 'undefined') { + it('handles builtinFile', async function () { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + .then((x) => new File([x], filename)); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); + }); +} + +it('handles Response', async function () { + const file = await fetch(url); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +const fineTune = `{"prompt": "", "completion": ""}`; + +describe('toFile', () => { + if (typeof Blob !== 'undefined') { + it('handles builtin Blob', async function () { + const result = await client.files.create({ + file: await toFile(new Blob([new TextEncoder().encode(fineTune)]), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + } + it('handles Uint8Array', async function () { + const result = await client.files.create({ + file: await toFile(new TextEncoder().encode(fineTune), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + it('handles ArrayBuffer', async function () { + const result = await client.files.create({ + file: await toFile(new TextEncoder().encode(fineTune).buffer, 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + it('handles DataView', async function () { + const result = await client.files.create({ + file: await toFile(new DataView(new TextEncoder().encode(fineTune).buffer), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); +}); + +test('query strings', () => { + expect( + decodeURIComponent((client as any).stringifyQuery({ foo: { nested: { a: true, b: 'foo' } } })), + ).toEqual('foo[nested][a]=true&foo[nested][b]=foo'); + expect( + decodeURIComponent((client as any).stringifyQuery({ foo: { nested: { a: ['hello', 'world'] } } })), + ).toEqual('foo[nested][a][]=hello&foo[nested][a][]=world'); +}); diff --git a/ecosystem-tests/node-ts-esm-web/tsconfig.json b/ecosystem-tests/node-ts-esm-web/tsconfig.json new file mode 100644 index 000000000..81f9c1186 --- /dev/null +++ b/ecosystem-tests/node-ts-esm-web/tsconfig.json @@ -0,0 +1,54 @@ +{ + "include": ["tests/*.ts"], + + "compilerOptions": { + /* Visit https://aka.ms/tsconfig.json to read more about this file */ + /* Projects */ + "incremental": true, + + /* Language and Environment */ + "target": "ES2022", + "lib": ["ES2022", "DOM"], + "jsx": "react", + + /* Modules */ + "module": "ESNext", + "rootDir": "./", + "moduleResolution": "NodeNext", + "baseUrl": "./", + "paths": { + "~/*": ["*"] + }, + "resolveJsonModule": true, + "composite": true, + + /* Emit */ + "outDir": "node_modules", + "noEmit": true, + + /* Interop Constraints */ + "isolatedModules": true, + "allowSyntheticDefaultImports": true, + /* "esModuleInterop": true, */ + "forceConsistentCasingInFileNames": true, + "allowJs": true, + "checkJs": true, + + /* Experimental Features */ + "experimentalDecorators": true, + + /* Type Checking */ + "strict": true, + "noImplicitAny": true, + "strictNullChecks": true, + "strictFunctionTypes": true, + "strictBindCallApply": true, + "strictPropertyInitialization": true, + "noImplicitThis": true, + "alwaysStrict": true, + "noUncheckedIndexedAccess": true, + "noImplicitOverride": true, + "noPropertyAccessFromIndexSignature": true, + "skipLibCheck": true + } +} diff --git a/ecosystem-tests/node-ts-esm-web/tsconfig.noderesolution.json b/ecosystem-tests/node-ts-esm-web/tsconfig.noderesolution.json new file mode 100644 index 000000000..96e61ca7d --- /dev/null +++ b/ecosystem-tests/node-ts-esm-web/tsconfig.noderesolution.json @@ -0,0 +1,54 @@ +{ + "include": ["tests/*.ts"], + + "compilerOptions": { + /* Visit https://aka.ms/tsconfig.json to read more about this file */ + /* Projects */ + "incremental": true, + + /* Language and Environment */ + "target": "ES2022", + "lib": ["ES2022", "DOM"], + "jsx": "react", + + /* Modules */ + "module": "ESNext", + "rootDir": "./", + "moduleResolution": "node", + "baseUrl": "./", + "paths": { + "~/*": ["*"] + }, + "resolveJsonModule": true, + "composite": true, + + /* Emit */ + "outDir": "node_modules", + "noEmit": true, + + /* Interop Constraints */ + "isolatedModules": true, + "allowSyntheticDefaultImports": true, + /* "esModuleInterop": true, */ + "forceConsistentCasingInFileNames": true, + "allowJs": true, + "checkJs": true, + + /* Experimental Features */ + "experimentalDecorators": true, + + /* Type Checking */ + "strict": true, + "noImplicitAny": true, + "strictNullChecks": true, + "strictFunctionTypes": true, + "strictBindCallApply": true, + "strictPropertyInitialization": true, + "noImplicitThis": true, + "alwaysStrict": true, + "noUncheckedIndexedAccess": true, + "noImplicitOverride": true, + "noPropertyAccessFromIndexSignature": true, + "skipLibCheck": true + } +} diff --git a/ecosystem-tests/node-ts-esm/jest.config.cjs b/ecosystem-tests/node-ts-esm/jest.config.cjs new file mode 100644 index 000000000..31e0a832f --- /dev/null +++ b/ecosystem-tests/node-ts-esm/jest.config.cjs @@ -0,0 +1,23 @@ +/** @type {import('ts-jest/dist/types').InitialOptionsTsJest} */ +module.exports = { + extensionsToTreatAsEsm: ['.ts'], + moduleNameMapper: { + '^(\\.{1,2}/.*)\\.js$': '$1', + }, + transform: { + // '^.+\\.[tj]sx?$' to process js/ts with `ts-jest` + // '^.+\\.m?[tj]sx?$' to process js/ts/mjs/mts with `ts-jest` + '^.+\\.tsx?$': [ + 'ts-jest', + { + useESM: true, + diagnostics: false, + }, + ], + }, + testEnvironment: 'node', + testMatch: ['/tests/*.ts'], + watchPathIgnorePatterns: ['/node_modules/'], + verbose: false, + testTimeout: 60000, +}; diff --git a/ecosystem-tests/node-ts-esm/package-lock.json b/ecosystem-tests/node-ts-esm/package-lock.json new file mode 100644 index 000000000..cb5b8eaa8 --- /dev/null +++ b/ecosystem-tests/node-ts-esm/package-lock.json @@ -0,0 +1,4006 @@ +{ + "name": "node-ts-esm", + "version": "0.0.1", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "node-ts-esm", + "version": "0.0.1", + "dependencies": { + "formdata-node": "^5.0.1", + 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&& tsc -p tsconfig.noderesolution.json", + "test": "node --experimental-vm-modules node_modules/jest/bin/jest.js" + }, + "dependencies": { + "formdata-node": "^5.0.1", + "node-fetch": "^3.0.0" + }, + "devDependencies": { + "@types/node": "^20.3.1", + "fastest-levenshtein": "^1.0.16", + "jest": "^29.5.0", + "ts-jest": "^29.1.0", + "ts-node": "^10.9.1", + "typescript": "4.7.4" + } +} diff --git a/ecosystem-tests/node-ts-esm/sample1.mp3 b/ecosystem-tests/node-ts-esm/sample1.mp3 new file mode 100644 index 000000000..1e787cd7c Binary files /dev/null and b/ecosystem-tests/node-ts-esm/sample1.mp3 differ diff --git a/ecosystem-tests/node-ts-esm/tests/shims.ts b/ecosystem-tests/node-ts-esm/tests/shims.ts new file mode 100644 index 000000000..a7a22ddb4 --- /dev/null +++ b/ecosystem-tests/node-ts-esm/tests/shims.ts @@ -0,0 +1,7 @@ +// shouldn't need extension, but Jest's ESM module resolution is broken +import 'openai/shims/node.mjs'; +import * as shims from 'openai/_shims/index'; + +test('openai/shims/node', () => { + expect(shims.kind).toEqual('node'); +}); diff --git a/ecosystem-tests/node-ts-esm/tests/test-esnext.ts b/ecosystem-tests/node-ts-esm/tests/test-esnext.ts new file mode 100644 index 000000000..05cdd1047 --- /dev/null +++ b/ecosystem-tests/node-ts-esm/tests/test-esnext.ts @@ -0,0 +1,75 @@ +import 'openai/shims/node.mjs'; +import OpenAI from 'openai'; +import { distance } from 'fastest-levenshtein'; +import { ChatCompletion } from 'openai/resources/chat/completions'; +import * as shims from 'openai/_shims/index'; + +// The tests in this file don't typecheck with "moduleResolution": "node" + +function typeTests(x: shims.Request) { + const url: string = x.url; +} + +const client = new OpenAI(); + +declare global { + namespace jest { + interface Matchers { + toBeSimilarTo(comparedTo: string, expectedDistance: number): R; + } + } +} +expect.extend({ + toBeSimilarTo(received, comparedTo: string, expectedDistance: number) { + const message = () => + [ + `Received: ${JSON.stringify(received)}`, + `Expected: ${JSON.stringify(comparedTo)}`, + `Expected distance: ${expectedDistance}`, + `Received distance: ${actualDistance}`, + ].join('\n'); + + const actualDistance = distance(received, comparedTo); + if (actualDistance < expectedDistance) { + return { + message, + pass: true, + }; + } + + return { + message, + pass: false, + }; + }, +}); + +it(`raw response`, async function () { + const response = await client.chat.completions + .create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + }) + .asResponse(); + + // test that we can use node-fetch Response API + const chunks: string[] = []; + const { body } = response; + if (!body) throw new Error(`expected response.body to be defined`); + body.on('data', (chunk) => chunks.push(chunk)); + await new Promise((resolve, reject) => { + body.once('end', resolve); + body.once('error', reject); + }); + const json: ChatCompletion = JSON.parse(chunks.join('')); + expect(json.choices[0]?.message.content || '').toBeSimilarTo('This is a test', 10); +}); + +test('query strings', () => { + expect( + decodeURIComponent((client as any).stringifyQuery({ foo: { nested: { a: true, b: 'foo' } } })), + ).toEqual('foo[nested][a]=true&foo[nested][b]=foo'); + expect( + decodeURIComponent((client as any).stringifyQuery({ foo: { nested: { a: ['hello', 'world'] } } })), + ).toEqual('foo[nested][a][]=hello&foo[nested][a][]=world'); +}); diff --git a/ecosystem-tests/node-ts-esm/tests/test.ts b/ecosystem-tests/node-ts-esm/tests/test.ts new file mode 100644 index 000000000..7694a9874 --- /dev/null +++ b/ecosystem-tests/node-ts-esm/tests/test.ts @@ -0,0 +1,184 @@ +// shouldn't need extension, but Jest's ESM module resolution is broken +import 'openai/shims/node.mjs'; +import OpenAI, { toFile } from 'openai'; +import { TranscriptionCreateParams } from 'openai/resources/audio/transcriptions'; +import fetch from 'node-fetch'; +import { File as FormDataFile, Blob as FormDataBlob } from 'formdata-node'; +import * as fs from 'fs'; +import { distance } from 'fastest-levenshtein'; + +const url = 'https://audio-samples.github.io/samples/mp3/blizzard_biased/sample-1.mp3'; +const filename = 'sample-1.mp3'; + +const correctAnswer = + 'It was anxious to find him no one that expectation of a man who were giving his father enjoyment. But he was avoided in sight in the minister to which indeed,'; +const model = 'whisper-1'; + +const client = new OpenAI(); + +async function typeTests() { + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: { foo: true }, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: null, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: 'test', model: 'whisper-1' }); +} + +declare global { + namespace jest { + interface Matchers { + toBeSimilarTo(comparedTo: string, expectedDistance: number): R; + } + } +} +expect.extend({ + toBeSimilarTo(received, comparedTo: string, expectedDistance: number) { + const message = () => + [ + `Received: ${JSON.stringify(received)}`, + `Expected: ${JSON.stringify(comparedTo)}`, + `Expected distance: ${expectedDistance}`, + `Received distance: ${actualDistance}`, + ].join('\n'); + + const actualDistance = distance(received, comparedTo); + if (actualDistance < expectedDistance) { + return { + message, + pass: true, + }; + } + + return { + message, + pass: false, + }; + }, +}); + +it(`streaming works`, async function () { + const stream = await client.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + stream: true, + }); + const chunks = []; + for await (const part of stream) { + chunks.push(part); + } + expect(chunks.map((c) => c.choices[0]?.delta.content || '').join('')).toBeSimilarTo('This is a test', 10); +}); + +it('handles formdata-node File', async function () { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + .then((x) => new FormDataFile([x], filename)); + + const params: TranscriptionCreateParams = { file, model }; + + const result = await client.audio.transcriptions.create(params); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +// @ts-ignore avoid DOM lib for testing purposes +if (typeof File !== 'undefined') { + it('handles builtinFile', async function () { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + // @ts-ignore avoid DOM lib for testing purposes + .then((x) => new File([x], filename)); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); + }); +} + +it('handles Response', async function () { + const file = await fetch(url); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +it('handles fs.ReadStream', async function () { + const result = await client.audio.transcriptions.create({ + file: fs.createReadStream('sample1.mp3'), + model, + }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +const fineTune = `{"prompt": "", "completion": ""}`; + +describe('toFile', () => { + it('handles form-data Blob', async function () { + const result = await client.files.create({ + file: await toFile( + new FormDataBlob([ + // @ts-ignore avoid DOM lib for testing purposes + new TextEncoder().encode(fineTune), + ]), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + // @ts-ignore avoid DOM lib for testing purposes + if (typeof Blob !== 'undefined') { + it('handles builtin Blob', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new Blob([new TextEncoder().encode(fineTune)]), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + } + it('handles Uint8Array', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new TextEncoder().encode(fineTune), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + it('handles ArrayBuffer', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new TextEncoder().encode(fineTune).buffer, + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + it('handles DataView', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new DataView(new TextEncoder().encode(fineTune).buffer), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); +}); + +test('query strings', () => { + expect( + decodeURIComponent((client as any).stringifyQuery({ foo: { nested: { a: true, b: 'foo' } } })), + ).toEqual('foo[nested][a]=true&foo[nested][b]=foo'); + expect( + decodeURIComponent((client as any).stringifyQuery({ foo: { nested: { a: ['hello', 'world'] } } })), + ).toEqual('foo[nested][a][]=hello&foo[nested][a][]=world'); +}); diff --git a/ecosystem-tests/node-ts-esm/tsconfig.json b/ecosystem-tests/node-ts-esm/tsconfig.json new file mode 100644 index 000000000..c4a5f80c5 --- /dev/null +++ b/ecosystem-tests/node-ts-esm/tsconfig.json @@ -0,0 +1,54 @@ +{ + "include": ["tests/*.ts"], + + "compilerOptions": { + /* Visit https://aka.ms/tsconfig.json to read more about this file */ + /* Projects */ + "incremental": true, + + /* Language and Environment */ + "target": "ES2022", + "lib": ["ES2022"], + "jsx": "react", + + /* Modules */ + "module": "ESNext", + "rootDir": "./", + "moduleResolution": "NodeNext", + "baseUrl": "./", + "paths": { + "~/*": ["*"] + }, + "resolveJsonModule": true, + "composite": true, + + /* Emit */ + "outDir": "node_modules", + "noEmit": true, + + /* Interop Constraints */ + "isolatedModules": true, + "allowSyntheticDefaultImports": true, + /* "esModuleInterop": true, */ + "forceConsistentCasingInFileNames": true, + "allowJs": true, + "checkJs": true, + + /* Experimental Features */ + "experimentalDecorators": true, + + /* Type Checking */ + "strict": true, + "noImplicitAny": true, + "strictNullChecks": true, + "strictFunctionTypes": true, + "strictBindCallApply": true, + "strictPropertyInitialization": true, + "noImplicitThis": true, + "alwaysStrict": true, + "noUncheckedIndexedAccess": true, + "noImplicitOverride": true, + "noPropertyAccessFromIndexSignature": true, + "skipLibCheck": true + } +} diff --git a/ecosystem-tests/node-ts-esm/tsconfig.noderesolution.json b/ecosystem-tests/node-ts-esm/tsconfig.noderesolution.json new file mode 100644 index 000000000..0a7d2b35a --- /dev/null +++ b/ecosystem-tests/node-ts-esm/tsconfig.noderesolution.json @@ -0,0 +1,55 @@ +{ + "include": ["tests/*.ts"], + "exclude": ["tests/*-esnext.ts"], + + "compilerOptions": { + /* Visit https://aka.ms/tsconfig.json to read more about this file */ + /* Projects */ + "incremental": true, + + /* Language and Environment */ + "target": "ES2022", + "lib": ["ES2022"], + "jsx": "react", + + /* Modules */ + "module": "ESNext", + "rootDir": "./", + "moduleResolution": "node", + "baseUrl": "./", + "paths": { + "~/*": ["*"] + }, + "resolveJsonModule": true, + "composite": true, + + /* Emit */ + "outDir": "node_modules", + "noEmit": true, + + /* Interop Constraints */ + "isolatedModules": true, + "allowSyntheticDefaultImports": true, + /* "esModuleInterop": true, */ + "forceConsistentCasingInFileNames": true, + "allowJs": true, + "checkJs": true, + + /* Experimental Features */ + "experimentalDecorators": true, + + /* Type Checking */ + "strict": true, + "noImplicitAny": true, + "strictNullChecks": true, + "strictFunctionTypes": true, + "strictBindCallApply": true, + "strictPropertyInitialization": true, + "noImplicitThis": true, + "alwaysStrict": true, + "noUncheckedIndexedAccess": true, + "noImplicitOverride": true, + "noPropertyAccessFromIndexSignature": true, + "skipLibCheck": true + } +} diff --git a/ecosystem-tests/node-ts4.5-jest27/jest.config.cjs b/ecosystem-tests/node-ts4.5-jest27/jest.config.cjs new file mode 100644 index 000000000..b08ea4311 --- /dev/null +++ b/ecosystem-tests/node-ts4.5-jest27/jest.config.cjs @@ -0,0 +1,9 @@ +/** @type {import('ts-jest/dist/types').InitialOptionsTsJest} */ +module.exports = { + preset: 'ts-jest', + testEnvironment: 'node', + testMatch: ['/tests/*.ts'], + watchPathIgnorePatterns: ['/node_modules/'], + verbose: false, + testTimeout: 60000, +}; diff --git a/ecosystem-tests/node-ts4.5-jest27/package-lock.json b/ecosystem-tests/node-ts4.5-jest27/package-lock.json new file mode 100644 index 000000000..bedd114f8 --- /dev/null +++ b/ecosystem-tests/node-ts4.5-jest27/package-lock.json @@ -0,0 +1,4404 @@ +{ + "name": "node-ts4.5-jest27", + "version": "0.0.1", + "lockfileVersion": 3, + 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a/ecosystem-tests/node-ts4.5-jest27/package.json b/ecosystem-tests/node-ts4.5-jest27/package.json new file mode 100644 index 000000000..ae76bcc9c --- /dev/null +++ b/ecosystem-tests/node-ts4.5-jest27/package.json @@ -0,0 +1,25 @@ +{ + "name": "node-ts4.5-jest27", + "version": "0.0.1", + "main": "index.js", + "private": true, + "scripts": { + "tsc": "tsc", + "test": "jest" + }, + "dependencies": { + "formdata-node": "^4.4.1", + "node-fetch": "^2.6.1", + "tsconfig-paths": "^4.0.0" + }, + "devDependencies": { + "@types/node": "20.11.20", + "@types/node-fetch": "^2.6.1", + "@types/jest": "27.5.2", + "@types/ws": "^8.5.4", + "fastest-levenshtein": "^1.0.16", + "jest": "27.5.1", + "ts-jest": "27.1.5", + "typescript": "4.5.5" + } +} diff --git a/ecosystem-tests/node-ts4.5-jest27/sample1.mp3 b/ecosystem-tests/node-ts4.5-jest27/sample1.mp3 new file mode 100644 index 000000000..1e787cd7c Binary files /dev/null and b/ecosystem-tests/node-ts4.5-jest27/sample1.mp3 differ diff --git a/ecosystem-tests/node-ts4.5-jest27/tests/test.ts b/ecosystem-tests/node-ts4.5-jest27/tests/test.ts new file mode 100644 index 000000000..3f6e5d572 --- /dev/null +++ b/ecosystem-tests/node-ts4.5-jest27/tests/test.ts @@ -0,0 +1,203 @@ +import 'openai/shims/node'; +import OpenAI, { toFile } from 'openai'; +import { TranscriptionCreateParams } from 'openai/resources/audio/transcriptions'; +import fetch from 'node-fetch'; +import { File as FormDataFile, Blob as FormDataBlob } from 'formdata-node'; +import * as fs from 'fs'; +import { distance } from 'fastest-levenshtein'; +import { ChatCompletion } from 'openai/resources/chat/completions'; + +const url = 'https://audio-samples.github.io/samples/mp3/blizzard_biased/sample-1.mp3'; +const filename = 'sample-1.mp3'; + +const correctAnswer = + 'It was anxious to find him no one that expectation of a man who were giving his father enjoyment. But he was avoided in sight in the minister to which indeed,'; +const model = 'whisper-1'; + +const client = new OpenAI(); + +async function typeTests() { + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: { foo: true }, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: null, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: 'test', model: 'whisper-1' }); +} + +declare global { + namespace jest { + interface Matchers { + toBeSimilarTo(comparedTo: string, expectedDistance: number): R; + } + } +} +expect.extend({ + toBeSimilarTo(received, comparedTo: string, expectedDistance: number) { + const message = () => + [ + `Received: ${JSON.stringify(received)}`, + `Expected: ${JSON.stringify(comparedTo)}`, + `Expected distance: ${expectedDistance}`, + `Received distance: ${actualDistance}`, + ].join('\n'); + + const actualDistance = distance(received, comparedTo); + if (actualDistance < expectedDistance) { + return { + message, + pass: true, + }; + } + + return { + message, + pass: false, + }; + }, +}); + +it(`raw response`, async function () { + const response = await client.chat.completions + .create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + }) + .asResponse(); + + // test that we can use node-fetch Response API + const chunks: string[] = []; + response.body.on('data', (chunk) => chunks.push(chunk)); + await new Promise((resolve, reject) => { + response.body.once('end', resolve); + response.body.once('error', reject); + }); + const json: ChatCompletion = JSON.parse(chunks.join('')); + expect(json.choices[0]?.message.content || '').toBeSimilarTo('This is a test', 10); +}); + +it(`streaming works`, async function () { + const stream = await client.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + stream: true, + }); + const chunks = []; + for await (const part of stream) { + chunks.push(part); + } + expect(chunks.map((c) => c.choices[0]?.delta.content || '').join('')).toBeSimilarTo('This is a test', 10); +}); + +it('handles formdata-node File', async function () { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + .then((x) => new FormDataFile([x], filename)); + + const params: TranscriptionCreateParams = { file, model }; + + const result = await client.audio.transcriptions.create(params); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +// @ts-ignore avoid DOM lib for testing purposes +if (typeof File !== 'undefined') { + it('handles builtinFile', async function () { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + // @ts-ignore avoid DOM lib for testing purposes + .then((x) => new File([x], filename)); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); + }); +} + +it('handles Response', async function () { + const file = await fetch(url); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +it('handles fs.ReadStream', async function () { + const result = await client.audio.transcriptions.create({ + file: fs.createReadStream('sample1.mp3'), + model, + }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +const fineTune = `{"prompt": "", "completion": ""}`; + +describe('toFile', () => { + it('handles form-data Blob', async function () { + const result = await client.files.create({ + file: await toFile( + new FormDataBlob([ + // @ts-ignore avoid DOM lib for testing purposes + new TextEncoder().encode(fineTune), + ]), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + // @ts-ignore avoid DOM lib for testing purposes + if (typeof Blob !== 'undefined') { + it('handles builtin Blob', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new Blob([new TextEncoder().encode(fineTune)]), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + } + it('handles Uint8Array', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new TextEncoder().encode(fineTune), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + it('handles ArrayBuffer', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new TextEncoder().encode(fineTune).buffer, + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + it('handles DataView', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new DataView(new TextEncoder().encode(fineTune).buffer), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); +}); + +test('query strings', () => { + expect( + decodeURIComponent((client as any).stringifyQuery({ foo: { nested: { a: true, b: 'foo' } } })), + ).toEqual('foo[nested][a]=true&foo[nested][b]=foo'); + expect( + decodeURIComponent((client as any).stringifyQuery({ foo: { nested: { a: ['hello', 'world'] } } })), + ).toEqual('foo[nested][a][]=hello&foo[nested][a][]=world'); +}); diff --git a/ecosystem-tests/node-ts4.5-jest27/tsconfig.json b/ecosystem-tests/node-ts4.5-jest27/tsconfig.json new file mode 100644 index 000000000..2ada1bcad --- /dev/null +++ b/ecosystem-tests/node-ts4.5-jest27/tsconfig.json @@ -0,0 +1,54 @@ +{ + "include": ["tests/*.ts"], + + "compilerOptions": { + /* Visit https://aka.ms/tsconfig.json to read more about this file */ + /* Projects */ + "incremental": true, + + /* Language and Environment */ + "target": "ES2015", + "lib": ["ES2015"], + "jsx": "react", + + /* Modules */ + "module": "commonjs", + "rootDir": "./", + "moduleResolution": "node", + "baseUrl": "./", + "paths": { + "~/*": ["*"] + }, + "resolveJsonModule": true, + "composite": true, + + /* Emit */ + "outDir": "node_modules", + "noEmit": true, + + /* Interop Constraints */ + "isolatedModules": true, + "allowSyntheticDefaultImports": true, + /* "esModuleInterop": true, */ + "forceConsistentCasingInFileNames": true, + "allowJs": true, + "checkJs": true, + + /* Experimental Features */ + "experimentalDecorators": true, + + /* Type Checking */ + "strict": true, + "noImplicitAny": true, + "strictNullChecks": true, + "strictFunctionTypes": true, + "strictBindCallApply": true, + "strictPropertyInitialization": true, + "noImplicitThis": true, + "alwaysStrict": true, + "noUncheckedIndexedAccess": true, + "noImplicitOverride": true, + "noPropertyAccessFromIndexSignature": true, + "skipLibCheck": false + } +} diff --git a/ecosystem-tests/nodenext-tsup/index.ts b/ecosystem-tests/nodenext-tsup/index.ts new file mode 100644 index 000000000..f70568435 --- /dev/null +++ b/ecosystem-tests/nodenext-tsup/index.ts @@ -0,0 +1,41 @@ +import { OpenAI } from 'openai'; + +const openai = new OpenAI(); + +function assertEqual(actual: any, expected: any) { + if (actual === expected) { + return; + } + + console.error('expected', expected); + console.error('actual ', actual); + throw new Error('expected values to be equal'); +} + +async function main() { + const completion = await openai.chat.completions.create({ + model: 'gpt-4o-mini', + messages: [ + { + role: 'user', + content: 'What is the capital of the United States?', + }, + ], + }); + // smoke test for responses + if (!completion.choices[0]?.message.content) { + console.dir(completion, { depth: 4 }); + throw new Error('no response content!'); + } + + assertEqual( + decodeURIComponent((openai as any).stringifyQuery({ foo: { nested: { a: true, b: 'foo' } } })), + 'foo[nested][a]=true&foo[nested][b]=foo', + ); + assertEqual( + decodeURIComponent((openai as any).stringifyQuery({ foo: { nested: { a: ['hello', 'world'] } } })), + 'foo[nested][a][]=hello&foo[nested][a][]=world', + ); +} + +main(); diff --git a/ecosystem-tests/nodenext-tsup/package-lock.json b/ecosystem-tests/nodenext-tsup/package-lock.json new file mode 100644 index 000000000..8f4729374 --- /dev/null +++ b/ecosystem-tests/nodenext-tsup/package-lock.json @@ -0,0 +1,2078 @@ +{ + "name": "nodenext-tsup", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "nodenext-tsup", + "devDependencies": { + "tsup": "^8.2.4" + }, + "peerDependencies": { + 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b/ecosystem-tests/nodenext-tsup/tsconfig.json @@ -0,0 +1,18 @@ +{ + "compilerOptions": { + "declaration": true, + "declarationMap": true, + "esModuleInterop": true, + "incremental": false, + "isolatedModules": true, + "lib": ["es2022", "DOM", "DOM.Iterable"], + "module": "NodeNext", + "moduleDetection": "force", + "moduleResolution": "NodeNext", + "noUncheckedIndexedAccess": true, + "resolveJsonModule": true, + "skipLibCheck": true, + "strict": true, + "target": "ES2022" + } +} diff --git a/ecosystem-tests/nodenext-tsup/tsup.config.ts b/ecosystem-tests/nodenext-tsup/tsup.config.ts new file mode 100644 index 000000000..657cd79fa --- /dev/null +++ b/ecosystem-tests/nodenext-tsup/tsup.config.ts @@ -0,0 +1,7 @@ +import { defineConfig } from "tsup"; + +export default defineConfig({ + entry: ["index.ts"], + noExternal: ["openai"], + platform: "neutral", +}); diff --git a/ecosystem-tests/ts-browser-webpack/.babelrc b/ecosystem-tests/ts-browser-webpack/.babelrc new file mode 100644 index 000000000..248fa61e3 --- /dev/null +++ b/ecosystem-tests/ts-browser-webpack/.babelrc @@ -0,0 +1,7 @@ +{ + "presets": [ + "@babel/preset-env", // Automatically determines the Babel plugins and polyfills you need based on your target environments + "@babel/preset-typescript" // If you're using TypeScript, this preset will enable TypeScript transformation + ], + "plugins": [] +} diff --git a/ecosystem-tests/ts-browser-webpack/.gitignore b/ecosystem-tests/ts-browser-webpack/.gitignore new file mode 100644 index 000000000..8225baa4a --- /dev/null +++ b/ecosystem-tests/ts-browser-webpack/.gitignore @@ -0,0 +1,2 @@ +/node_modules +/dist diff --git a/ecosystem-tests/ts-browser-webpack/package-lock.json b/ecosystem-tests/ts-browser-webpack/package-lock.json new file mode 100644 index 000000000..695b85955 --- /dev/null +++ b/ecosystem-tests/ts-browser-webpack/package-lock.json @@ -0,0 +1,7706 @@ +{ + "name": "ts-browser-webpack", + "version": "0.0.1", + "lockfileVersion": 3, + "requires": true, 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"@babel/preset-env": "^7.21.0", + "@babel/preset-typescript": "^7.21.0", + "babel-loader": "^9.1.2", + "fastest-levenshtein": "^1.0.16", + "html-webpack-plugin": "^5.5.3", + "puppeteer": "^23.4.0", + "start-server-and-test": "^2.0.0", + "ts-loader": "^9.4.3", + "ts-node": "^10.9.1", + "typescript": "^4.7.4", + "webpack": "^5.87.0", + "webpack-cli": "^5.0.2", + "webpack-dev-server": "^4.15.1" + } +} diff --git a/ecosystem-tests/ts-browser-webpack/public/index.html b/ecosystem-tests/ts-browser-webpack/public/index.html new file mode 100644 index 000000000..a2a781234 --- /dev/null +++ b/ecosystem-tests/ts-browser-webpack/public/index.html @@ -0,0 +1,10 @@ + + + + + Package in the Browser + + +
Running tests...
+ + diff --git a/ecosystem-tests/ts-browser-webpack/src/index.ts b/ecosystem-tests/ts-browser-webpack/src/index.ts new file mode 100644 index 000000000..75fb6ea7a --- /dev/null +++ b/ecosystem-tests/ts-browser-webpack/src/index.ts @@ -0,0 +1,221 @@ +import 'openai/shims/web'; +import OpenAI, { toFile } from 'openai'; +import { distance } from 'fastest-levenshtein'; +import { ChatCompletion } from 'openai/resources/chat/completions'; + +type TestCase = { + path: string[]; + run: () => any; + timeout?: number; +}; + +const tests: TestCase[] = []; + +type TestResult = { path: string[]; passed: boolean; error?: string }; + +async function runTests() { + const results: TestResult[] = []; + function displayResults() { + let pre = document.getElementById('results'); + if (!pre) { + pre = document.createElement('pre'); + pre.id = 'results'; + document.body.appendChild(pre); + } + pre.innerText = JSON.stringify(results, null, 2); + } + for (const { path, run, timeout } of tests) { + console.log('running', ...path); + try { + await Promise.race([ + run(), + new Promise((_, reject) => + setTimeout(() => reject(new Error(`Test timed out after ${timeout} ms`)), timeout), + ), + ]); + console.log('passed ', ...path); + results.push({ path, passed: true }); + } catch (error) { + console.log('error ', ...path); + console.error(error); + results.push({ path, passed: false, error: error instanceof Error ? error.stack : String(error) }); + } + displayResults(); + } + const runningEl = document.getElementById('running'); + if (runningEl) runningEl.remove(); +} + +const testPath: string[] = []; + +function describe(description: string, handler: () => void) { + testPath.push(description); + try { + handler(); + } finally { + testPath.pop(); + } +} + +function it(description: string, run: () => any, timeout = 60000) { + tests.push({ path: [...testPath, description], run, timeout }); +} + +function expect(received: any) { + return { + toEqual(expected: any): void { + if (!Object.is(received, expected)) { + throw new Error( + [`Received: ${JSON.stringify(received)}`, `Expected: ${JSON.stringify(expected)}`].join('\n'), + ); + } + }, + toBeSimilarTo(comparedTo: string, expectedDistance: number) { + const actualDistance = distance(received, comparedTo); + if (actualDistance < expectedDistance) return; + + throw new Error( + [ + `Received: ${JSON.stringify(received)}`, + `Expected: ${JSON.stringify(comparedTo)}`, + `Expected distance: ${expectedDistance}`, + `Received distance: ${actualDistance}`, + ].join('\n'), + ); + }, + }; +} + +const url = 'https://audio-samples.github.io/samples/mp3/blizzard_biased/sample-1.mp3'; +const filename = 'sample-1.mp3'; + +const correctAnswer = + 'It was anxious to find him no one that expectation of a man who were giving his father enjoyment. But he was avoided in sight in the minister to which indeed,'; +const model = 'whisper-1'; + +const params = new URLSearchParams(location.search); + +const client = new OpenAI({ apiKey: params.get('apiKey') ?? undefined, dangerouslyAllowBrowser: true }); + +async function typeTests() { + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: { foo: true }, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: null, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: 'test', model: 'whisper-1' }); +} + +it(`raw response`, async function () { + const response = await client.chat.completions + .create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + }) + .asResponse(); + + // test that we can use web Response API + const { body } = response; + if (!body) throw new Error('expected response.body to be defined'); + + const reader = body.getReader(); + const chunks: Uint8Array[] = []; + let result; + do { + result = await reader.read(); + if (!result.done) chunks.push(result.value); + } while (!result.done); + + reader.releaseLock(); + + let offset = 0; + const merged = new Uint8Array(chunks.reduce((total, chunk) => total + chunk.length, 0)); + for (const chunk of chunks) { + merged.set(chunk, offset); + offset += chunk.length; + } + + const json: ChatCompletion = JSON.parse(new TextDecoder().decode(merged)); + expect(json.choices[0]?.message.content || '').toBeSimilarTo('This is a test', 10); +}); + +it(`streaming works`, async function () { + const stream = await client.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + stream: true, + }); + const chunks = []; + for await (const part of stream) { + chunks.push(part); + } + expect(chunks.map((c) => c.choices[0]?.delta.content || '').join('')).toBeSimilarTo('This is a test', 10); +}); + +if (typeof File !== 'undefined') { + it('handles builtinFile', async function () { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + .then((x) => new File([x], filename)); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); + }); +} + +it('handles Response', async function () { + const file = await fetch(url); + + const result = await client.audio.transcriptions.create({ file, model }); + expect(result.text).toBeSimilarTo(correctAnswer, 12); +}); + +const fineTune = `{"prompt": "", "completion": ""}`; + +describe('toFile', () => { + if (typeof Blob !== 'undefined') { + it('handles builtin Blob', async function () { + const result = await client.files.create({ + file: await toFile( + // @ts-ignore avoid DOM lib for testing purposes + new Blob([new TextEncoder().encode(fineTune)]), + 'finetune.jsonl', + ), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + } + it('handles Uint8Array', async function () { + const result = await client.files.create({ + file: await toFile(new TextEncoder().encode(fineTune), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + it('handles ArrayBuffer', async function () { + const result = await client.files.create({ + file: await toFile(new TextEncoder().encode(fineTune).buffer, 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); + it('handles DataView', async function () { + const result = await client.files.create({ + file: await toFile(new DataView(new TextEncoder().encode(fineTune).buffer), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expect(result.filename).toEqual('finetune.jsonl'); + }); +}); + +it('handles query strings', () => { + expect( + decodeURIComponent((client as any).stringifyQuery({ foo: { nested: { a: true, b: 'foo' } } })), + ).toEqual('foo[nested][a]=true&foo[nested][b]=foo'); + expect( + decodeURIComponent((client as any).stringifyQuery({ foo: { nested: { a: ['hello', 'world'] } } })), + ).toEqual('foo[nested][a][]=hello&foo[nested][a][]=world'); +}); + +runTests(); diff --git a/ecosystem-tests/ts-browser-webpack/src/test.ts b/ecosystem-tests/ts-browser-webpack/src/test.ts new file mode 100644 index 000000000..af60f2cc8 --- /dev/null +++ b/ecosystem-tests/ts-browser-webpack/src/test.ts @@ -0,0 +1,75 @@ +import puppeteer from 'puppeteer'; + +(async () => { + const browser = await puppeteer.launch({ + args: ['--no-sandbox'], + }); + let page; + try { + page = await browser.newPage(); + function debugEvent(subj: string) { + return subj.padEnd('requestfailed'.length); + } + page + .on('console', (message) => + console.error( + `${debugEvent('console')} ${message + .type() + .substr(0, 'warning'.length) + .toUpperCase() + .padEnd('warning'.length)} ${message.text()}`, + ), + ) + .on('pageerror', ({ message }) => console.error(`${debugEvent('pageerror')} ${message}`)) + .on('response', (response) => + console.error(`${debugEvent('response')} ${response.status()} ${response.url()}`), + ) + .on('requestfailed', (request) => + console.error(`${debugEvent('requestfailed')} ${request.failure()?.errorText} ${request.url()}`), + ); + + const apiKey = process.env.OPENAI_API_KEY; + + if (!apiKey) throw new Error('missing process.env.OPENAI_API_KEY'); + + // Navigate the page to a URL + await page.goto(`http://localhost:8080/index.html?apiKey=${apiKey}`); + + await page.waitForSelector('#running', { timeout: 15000 }); + + let start = Date.now(); + while ((await page.$('#running')) != null && Date.now() - start < 3 * 60000) { + await new Promise((r) => setTimeout(r, 1000)); + } + + let results; + const resultsEl = await page.$('#results'); + if (resultsEl) { + const text = await page.evaluate((el) => el.textContent, resultsEl); + results = text ? JSON.parse(text) : undefined; + } + + if (!Array.isArray(results)) { + throw new Error(`failed to get test results from page`); + } + const failed = results.filter((r) => !r.passed); + if (failed.length) { + throw new Error( + `${failed.length} of ${results.length} tests failed: ${JSON.stringify(failed, null, 2)}`, + ); + } + console.log(`${results.length} tests passed!`); + } catch (error) { + if (page) { + try { + const html = await page.evaluate(() => document.body.innerHTML); + console.error(`\n====================\nBODY HTML\n====================\n\n${html}\n\n`); + } catch (error) { + console.error(`failed to get body HTML for debugging`, error); + } + } + throw error; + } finally { + await browser.close(); + } +})(); diff --git a/ecosystem-tests/ts-browser-webpack/tsconfig.json b/ecosystem-tests/ts-browser-webpack/tsconfig.json new file mode 100644 index 000000000..73086a3ce --- /dev/null +++ b/ecosystem-tests/ts-browser-webpack/tsconfig.json @@ -0,0 +1,22 @@ +{ + "compilerOptions": { + "module": "commonjs", + "strict": true, + "noImplicitReturns": true, + "removeComments": true, + "preserveConstEnums": true, + "sourceMap": true, + "declaration": true, + "skipLibCheck": false, + "target": "es2015", + "lib": ["es2017", "dom"], + "outDir": "dist", + "rootDir": "./", + "baseUrl": ".", + "paths": { + "*": ["types/*"] + } + }, + "include": ["src/**/*"], + "exclude": ["node_modules/*"] +} diff --git a/ecosystem-tests/ts-browser-webpack/webpack.config.js b/ecosystem-tests/ts-browser-webpack/webpack.config.js new file mode 100644 index 000000000..0b5c3c7d5 --- /dev/null +++ b/ecosystem-tests/ts-browser-webpack/webpack.config.js @@ -0,0 +1,53 @@ +const path = require('path'); +const HtmlWebpackPlugin = require('html-webpack-plugin'); + +const publicPath = path.resolve(__dirname, 'public'); +const srcPath = path.resolve(__dirname, 'src'); +const buildPath = path.resolve(__dirname, 'dist'); + +module.exports = { + entry: path.join(srcPath, 'index.ts'), + + mode: 'development', + + output: { + path: buildPath, + filename: 'bundle.js', + }, + + module: { + rules: [ + { + test: /\.js$/, + exclude: /node_modules/, + loader: 'babel-loader', + }, + { + test: /\.ts$/, + exclude: /node_modules/, + use: 'ts-loader', + }, + ], + }, + + resolve: { + extensions: ['.js', '.ts'], + }, + + devtool: 'eval', + + plugins: [ + new HtmlWebpackPlugin({ + template: path.join(publicPath, 'index.html'), + filename: 'index.html', + }), + ], + + devServer: { + static: { + directory: publicPath, + }, + compress: true, + port: 8080, + }, +}; diff --git a/ecosystem-tests/vercel-edge/.gitignore b/ecosystem-tests/vercel-edge/.gitignore new file mode 100644 index 000000000..a5ab971a8 --- /dev/null +++ b/ecosystem-tests/vercel-edge/.gitignore @@ -0,0 +1,36 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.js +/*.tgz + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* + +# local env files +.env*.local + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts diff --git a/ecosystem-tests/vercel-edge/jest.config.cjs b/ecosystem-tests/vercel-edge/jest.config.cjs new file mode 100644 index 000000000..b08ea4311 --- /dev/null +++ b/ecosystem-tests/vercel-edge/jest.config.cjs @@ -0,0 +1,9 @@ +/** @type {import('ts-jest/dist/types').InitialOptionsTsJest} */ +module.exports = { + preset: 'ts-jest', + testEnvironment: 'node', + testMatch: ['/tests/*.ts'], + watchPathIgnorePatterns: ['/node_modules/'], + verbose: false, + testTimeout: 60000, +}; diff --git a/ecosystem-tests/vercel-edge/next.config.js b/ecosystem-tests/vercel-edge/next.config.js new file mode 100644 index 000000000..91ef62f0d --- /dev/null +++ b/ecosystem-tests/vercel-edge/next.config.js @@ -0,0 +1,6 @@ +/** @type {import('next').NextConfig} */ +const nextConfig = { + reactStrictMode: true, +}; + +module.exports = nextConfig; diff --git a/ecosystem-tests/vercel-edge/package-lock.json b/ecosystem-tests/vercel-edge/package-lock.json new file mode 100644 index 000000000..aaca4370c --- /dev/null +++ b/ecosystem-tests/vercel-edge/package-lock.json @@ -0,0 +1,6716 @@ +{ + "name": "vercel-edge", + "version": "0.1.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "vercel-edge", + "version": "0.1.0", + "dependencies": { + "ai": "2.1.34", + "next": "^14.2.25", + "react": "18.2.0", + "react-dom": "18.2.0" + }, + "devDependencies": { + "@types/node": "20.3.3", + "@types/react": "18.2.74", + "@types/react-dom": "18.2.23", + "edge-runtime": "^2.4.3", + "fastest-levenshtein": "^1.0.16", + "jest": "^29.5.0", + "start-server-and-test": "^2.0.0", + "ts-jest": "^29.1.0", + "typescript": "4.7.4", + "vercel": "^31.0.0" + } + }, + "node_modules/@ampproject/remapping": { + "version": "2.2.1", + "resolved": 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true, + "engines": { + "node": ">=6" + } + }, + "node_modules/yocto-queue": { + "version": "0.1.0", + "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz", + "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==", + "dev": true, + "engines": { + "node": ">=10" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + } + } +} diff --git a/ecosystem-tests/vercel-edge/package.json b/ecosystem-tests/vercel-edge/package.json new file mode 100644 index 000000000..5a8fea816 --- /dev/null +++ b/ecosystem-tests/vercel-edge/package.json @@ -0,0 +1,34 @@ +{ + "name": "vercel-edge", + "version": "0.1.0", + "private": true, + "scripts": { + "dev": "next dev", + "build": "next build", + "start": "next start", + "lint": "next lint", + "edge-runtime": "edge-runtime", + "vercel": "vercel", + "test": "node --experimental-vm-modules node_modules/jest/bin/jest.js", + "test:ci:dev": "start-server-and-test dev http://localhost:3000 test", + "test:ci": "start-server-and-test start http://localhost:3000 test" + }, + "dependencies": { + "ai": "2.1.34", + "next": "^14.2.25", + "react": "18.2.0", + "react-dom": "18.2.0" + }, + "devDependencies": { + "@types/node": "20.3.3", + "@types/react": "18.2.74", + "@types/react-dom": "18.2.23", + "edge-runtime": "^2.4.3", + "fastest-levenshtein": "^1.0.16", + "jest": "^29.5.0", + "start-server-and-test": "^2.0.0", + "ts-jest": "^29.1.0", + "typescript": "4.7.4", + "vercel": "^31.0.0" + } +} diff --git a/ecosystem-tests/vercel-edge/public/favicon.ico b/ecosystem-tests/vercel-edge/public/favicon.ico new file mode 100644 index 000000000..4570eb8d9 Binary files /dev/null and b/ecosystem-tests/vercel-edge/public/favicon.ico differ diff --git a/ecosystem-tests/vercel-edge/src/pages/_app.tsx b/ecosystem-tests/vercel-edge/src/pages/_app.tsx new file mode 100644 index 000000000..da826ed16 --- /dev/null +++ b/ecosystem-tests/vercel-edge/src/pages/_app.tsx @@ -0,0 +1,5 @@ +import type { AppProps } from 'next/app'; + +export default function App({ Component, pageProps }: AppProps) { + return ; +} diff --git a/ecosystem-tests/vercel-edge/src/pages/_document.tsx b/ecosystem-tests/vercel-edge/src/pages/_document.tsx new file mode 100644 index 000000000..e1e9cbbb7 --- /dev/null +++ b/ecosystem-tests/vercel-edge/src/pages/_document.tsx @@ -0,0 +1,13 @@ +import { Html, Head, Main, NextScript } from 'next/document'; + +export default function Document() { + return ( + + + +
+ + + + ); +} diff --git a/ecosystem-tests/vercel-edge/src/pages/ai-streaming.tsx b/ecosystem-tests/vercel-edge/src/pages/ai-streaming.tsx new file mode 100644 index 000000000..ba32dc443 --- /dev/null +++ b/ecosystem-tests/vercel-edge/src/pages/ai-streaming.tsx @@ -0,0 +1,29 @@ +import { useChat } from 'ai/react'; + +export default function Chat() { + const { messages, input, handleInputChange, handleSubmit } = useChat({ api: '/api/vercel-ai-streaming' }); + console.log({ messages }); + + return ( +
+ {messages.map((m) => ( +
+ {m.role === 'user' ? 'User: ' : 'AI: '} + {m.content} +
+ ))} + +
+ + +
+
+ ); +} diff --git a/ecosystem-tests/vercel-edge/src/pages/api/edge-test.ts b/ecosystem-tests/vercel-edge/src/pages/api/edge-test.ts new file mode 100644 index 000000000..e25842671 --- /dev/null +++ b/ecosystem-tests/vercel-edge/src/pages/api/edge-test.ts @@ -0,0 +1,79 @@ +import { NextRequest, NextResponse } from 'next/server'; +import { distance } from 'fastest-levenshtein'; +import OpenAI from 'openai'; +import { uploadWebApiTestCases } from '../../uploadWebApiTestCases'; + +export const config = { + runtime: 'edge', + unstable_allowDynamic: [ + // This is currently required because `qs` uses `side-channel` which depends on this. + // + // Warning: Some features may be broken at runtime because of this. + '/node_modules/function-bind/**', + ], +}; + +type Test = { description: string; handler: () => Promise }; + +const tests: Test[] = []; +function it(description: string, handler: () => Promise) { + tests.push({ description, handler }); +} +function expectEqual(a: any, b: any) { + if (!Object.is(a, b)) { + throw new Error(`expected values to be equal: ${JSON.stringify({ a, b })}`); + } +} +function expectSimilar(received: string, expected: string, maxDistance: number) { + const receivedDistance = distance(received, expected); + if (receivedDistance < maxDistance) { + return; + } + + const message = [ + `Received: ${JSON.stringify(received)}`, + `Expected: ${JSON.stringify(expected)}`, + `Max distance: ${maxDistance}`, + `Received distance: ${receivedDistance}`, + ].join('\n'); + + throw new Error(message); +} + +export default async (request: NextRequest) => { + try { + console.error('creating client'); + const client = new OpenAI(); + console.error('created client'); + + uploadWebApiTestCases({ + client: client as any, + it, + expectEqual, + expectSimilar, + runtime: 'edge', + }); + + let allPassed = true; + const results = []; + + for (const { description, handler } of tests) { + console.error('running', description); + let result; + try { + result = await handler(); + console.error('passed ', description); + } catch (error) { + console.error('failed ', description, error); + allPassed = false; + result = error instanceof Error ? error.stack : String(error); + } + results.push(`${description}\n\n${String(result)}`); + } + + return new NextResponse(allPassed ? 'Passed!' : results.join('\n\n')); + } catch (error) { + console.error(error instanceof Error ? error.stack : String(error)); + return new NextResponse(error instanceof Error ? error.stack : String(error), { status: 500 }); + } +}; diff --git a/ecosystem-tests/vercel-edge/src/pages/api/node-test.ts b/ecosystem-tests/vercel-edge/src/pages/api/node-test.ts new file mode 100644 index 000000000..97acfbd36 --- /dev/null +++ b/ecosystem-tests/vercel-edge/src/pages/api/node-test.ts @@ -0,0 +1,68 @@ +import type { NextApiRequest, NextApiResponse } from 'next'; +import { distance } from 'fastest-levenshtein'; +import OpenAI from 'openai'; +import { uploadWebApiTestCases } from '../../uploadWebApiTestCases'; + +type Test = { description: string; handler: () => Promise }; + +const tests: Test[] = []; +function it(description: string, handler: () => Promise) { + tests.push({ description, handler }); +} +function expectEqual(a: any, b: any) { + if (!Object.is(a, b)) { + throw new Error(`expected values to be equal: ${JSON.stringify({ a, b })}`); + } +} +function expectSimilar(received: string, expected: string, maxDistance: number) { + const receivedDistance = distance(received, expected); + if (receivedDistance < maxDistance) { + return; + } + + const message = [ + `Received: ${JSON.stringify(received)}`, + `Expected: ${JSON.stringify(expected)}`, + `Max distance: ${maxDistance}`, + `Received distance: ${receivedDistance}`, + ].join('\n'); + + throw new Error(message); +} + +export default async (request: NextApiRequest, response: NextApiResponse) => { + try { + console.error('creating client'); + const client = new OpenAI(); + console.error('created client'); + + uploadWebApiTestCases({ + client: client as any, + it, + expectEqual, + expectSimilar, + }); + + let allPassed = true; + const results = []; + + for (const { description, handler } of tests) { + console.error('running', description); + let result; + try { + result = await handler(); + console.error('passed ', description); + } catch (error) { + console.error('failed ', description, error); + allPassed = false; + result = error instanceof Error ? error.stack : String(error); + } + results.push(`${description}\n\n${String(result)}`); + } + + response.status(200).end(allPassed ? 'Passed!' : results.join('\n\n')); + } catch (error) { + console.error(error instanceof Error ? error.stack : String(error)); + response.status(500).end(error instanceof Error ? error.stack : String(error)); + } +}; diff --git a/ecosystem-tests/vercel-edge/src/pages/api/query-params.ts b/ecosystem-tests/vercel-edge/src/pages/api/query-params.ts new file mode 100644 index 000000000..0f0831846 --- /dev/null +++ b/ecosystem-tests/vercel-edge/src/pages/api/query-params.ts @@ -0,0 +1,20 @@ +import { NextRequest, NextResponse } from 'next/server'; +import OpenAI from 'openai'; + +export const config = { + runtime: 'edge', + unstable_allowDynamic: [ + // This is currently required because `qs` uses `side-channel` which depends on this. + // + // Warning: Some features may be broken at runtime because of this. + '/node_modules/function-bind/**', + ], +}; + +export default async (request: NextRequest) => { + const openai = new OpenAI(); + + const result = await openai.beta.assistants.list({ limit: 10 }); + + return NextResponse.json(result); +}; diff --git a/ecosystem-tests/vercel-edge/src/pages/api/response.ts b/ecosystem-tests/vercel-edge/src/pages/api/response.ts new file mode 100644 index 000000000..9c2d2d26c --- /dev/null +++ b/ecosystem-tests/vercel-edge/src/pages/api/response.ts @@ -0,0 +1,22 @@ +import { NextRequest, NextResponse } from 'next/server'; +import OpenAI from 'openai'; + +export const config = { + runtime: 'edge', + unstable_allowDynamic: [ + // This is currently required because `qs` uses `side-channel` which depends on this. + // + // Warning: Some features may be broken at runtime because of this. + '/node_modules/function-bind/**', + ], +}; + +export default async (request: NextRequest) => { + const openai = new OpenAI(); + + const result = await openai.completions.create({ + prompt: 'Say this is a test', + model: 'gpt-3.5-turbo-instruct', + }); + return NextResponse.json(result); +}; diff --git a/ecosystem-tests/vercel-edge/src/pages/api/streaming.ts b/ecosystem-tests/vercel-edge/src/pages/api/streaming.ts new file mode 100644 index 000000000..33d3f15c0 --- /dev/null +++ b/ecosystem-tests/vercel-edge/src/pages/api/streaming.ts @@ -0,0 +1,30 @@ +import { NextRequest, NextResponse } from 'next/server'; +import OpenAI from 'openai'; + +export const config = { + runtime: 'edge', + unstable_allowDynamic: [ + // This is currently required because `qs` uses `side-channel` which depends on this. + // + // Warning: Some features may be broken at runtime because of this. + '/node_modules/function-bind/**', + ], +}; + +export default async (request: NextRequest) => { + const openai = new OpenAI(); + + const text: string[] = []; + + const stream = await openai.completions.create({ + prompt: 'Say this is a test', + model: 'gpt-3.5-turbo-instruct', + stream: true, + }); + + for await (const part of stream) { + text.push(part.choices[0]?.text || ''); + } + + return NextResponse.json({ text: text.join('') }); +}; diff --git a/ecosystem-tests/vercel-edge/src/pages/api/transcribe.ts b/ecosystem-tests/vercel-edge/src/pages/api/transcribe.ts new file mode 100644 index 000000000..6d96163d7 --- /dev/null +++ b/ecosystem-tests/vercel-edge/src/pages/api/transcribe.ts @@ -0,0 +1,36 @@ +import { NextRequest, NextResponse } from 'next/server'; +import OpenAI, { toFile } from 'openai'; +import { TranscriptionCreateParams } from 'openai/resources/audio'; + +export const config = { + runtime: 'edge', + unstable_allowDynamic: [ + // This is currently required because `qs` uses `side-channel` which depends on this. + // + // Warning: Some features may be broken at runtime because of this. + '/node_modules/function-bind/**', + ], +}; + +export default async (request: NextRequest) => { + const openai = new OpenAI(); + + async function typeTests() { + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await openai.audio.transcriptions.create({ file: { foo: true }, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await openai.audio.transcriptions.create({ file: null, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await openai.audio.transcriptions.create({ file: 'test', model: 'whisper-1' }); + } + + const rsp = await fetch('http://github.com/service/https://audio-samples.github.io/samples/mp3/blizzard_biased/sample-1.mp3'); + + const params: TranscriptionCreateParams = { + model: 'whisper-1', + file: await toFile(rsp, 'sample-1.mp3'), + }; + const transcription = await openai.audio.transcriptions.create(params); + + return NextResponse.json(transcription); +}; diff --git a/ecosystem-tests/vercel-edge/src/pages/api/vercel-ai-streaming.ts b/ecosystem-tests/vercel-edge/src/pages/api/vercel-ai-streaming.ts new file mode 100644 index 000000000..69c726532 --- /dev/null +++ b/ecosystem-tests/vercel-edge/src/pages/api/vercel-ai-streaming.ts @@ -0,0 +1,32 @@ +import OpenAI from 'openai'; +import { OpenAIStream, StreamingTextResponse } from 'ai'; +import { NextRequest } from 'next/server'; + +export const config = { + runtime: 'edge', + unstable_allowDynamic: [ + // This is currently required because `qs` uses `side-channel` which depends on this. + '/node_modules/function-bind/**', + ], +}; + +export default async (request: NextRequest) => { + const openai = new OpenAI(); + + // Extract the `messages` from the body of the request + const { messages } = await request.json(); + + // Ask OpenAI for a streaming chat completion given the prompt + const streamResponse = await openai.chat.completions + .create({ + model: 'gpt-3.5-turbo', + stream: true, + messages, + }) + .asResponse(); + + const stream = OpenAIStream(streamResponse); + + // Respond with the stream + return new StreamingTextResponse(stream); +}; diff --git a/ecosystem-tests/vercel-edge/src/pages/index.tsx b/ecosystem-tests/vercel-edge/src/pages/index.tsx new file mode 100644 index 000000000..ed3a8e84a --- /dev/null +++ b/ecosystem-tests/vercel-edge/src/pages/index.tsx @@ -0,0 +1,19 @@ +import Head from 'next/head'; + +export default function Home() { + return ( + <> + + Vercel Edge Test + + + + +
+
+

Hello, world!

+
+
+ + ); +} diff --git a/ecosystem-tests/vercel-edge/src/uploadWebApiTestCases.ts b/ecosystem-tests/vercel-edge/src/uploadWebApiTestCases.ts new file mode 100644 index 000000000..eb8be0030 --- /dev/null +++ b/ecosystem-tests/vercel-edge/src/uploadWebApiTestCases.ts @@ -0,0 +1,194 @@ +import OpenAI, { toFile } from 'openai'; +import { TranscriptionCreateParams } from 'openai/resources/audio/transcriptions'; +import { ChatCompletion } from 'openai/resources/chat/completions'; +import * as nf from 'node-fetch'; + +/** + * Tests uploads using various Web API data objects. + * This is structured to support running these tests on builtins in the environment in + * Node or Cloudflare workers etc. or on polyfills like from node-fetch/formdata-node + */ +export function uploadWebApiTestCases({ + client, + it, + expectEqual, + expectSimilar, + runtime = 'node', +}: { + /** + * OpenAI client instance + */ + client: OpenAI; + /** + * Jest it() function, or an imitation in envs like Cloudflare workers + */ + it: (desc: string, handler: () => Promise) => void; + /** + * Jest expect(a).toEqual(b) function, or an imitation in envs like Cloudflare workers + */ + expectEqual(a: unknown, b: unknown): void; + /** + * Assert that the levenshtein distance between the two given strings is less than the given max distance. + */ + expectSimilar(received: string, expected: string, maxDistance: number): void; + runtime?: 'node' | 'edge'; +}) { + const url = 'https://audio-samples.github.io/samples/mp3/blizzard_biased/sample-1.mp3'; + const filename = 'sample-1.mp3'; + + const correctAnswer = + 'It was anxious to find him no one that expectation of a man who were giving his father enjoyment. But he was avoided in sight in the minister to which indeed,'; + const model = 'whisper-1'; + + async function typeTests() { + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: { foo: true }, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: null, model: 'whisper-1' }); + // @ts-expect-error this should error if the `Uploadable` type was resolved correctly + await client.audio.transcriptions.create({ file: 'test', model: 'whisper-1' }); + } + + if (runtime === 'node') { + it(`raw response`, async function () { + const response = await client.chat.completions + .create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + }) + .asResponse(); + + // test that we can use node-fetch Response API + const chunks: string[] = []; + // we can't have both node and web response types in one project, + // but the tests will work at runtime because they will be in different + // enrivonments. So cast to any here + const { body } = response as any as nf.Response; + if (!body) throw new Error(`expected response.body to be defined`); + body.on('data', (chunk) => chunks.push(chunk)); + await new Promise((resolve, reject) => { + body.once('end', resolve); + body.once('error', reject); + }); + const json: ChatCompletion = JSON.parse(chunks.join('')); + expectSimilar(json.choices[0]?.message.content || '', 'This is a test', 10); + }); + } else { + it(`raw response`, async function () { + const response = await client.chat.completions + .create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + }) + .asResponse(); + + // test that we can use web Response API + const { body } = response; + if (!body) throw new Error('expected response.body to be defined'); + + const reader = body.getReader(); + const chunks: Uint8Array[] = []; + let result; + do { + result = await reader.read(); + if (!result.done) chunks.push(result.value); + } while (!result.done); + + reader.releaseLock(); + + let offset = 0; + const merged = new Uint8Array(chunks.reduce((total, chunk) => total + chunk.length, 0)); + for (const chunk of chunks) { + merged.set(chunk, offset); + offset += chunk.length; + } + + const json: ChatCompletion = JSON.parse(new TextDecoder().decode(merged)); + expectSimilar(json.choices[0]?.message.content || '', 'This is a test', 10); + }); + } + + it(`streaming works`, async function () { + const stream = await client.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + stream: true, + }); + const chunks = []; + for await (const part of stream) { + chunks.push(part); + } + expectSimilar(chunks.map((c) => c.choices[0]?.delta.content || '').join(''), 'This is a test', 10); + }); + + if (runtime !== 'node') { + it('handles File', async () => { + const file = await fetch(url) + .then((x) => x.arrayBuffer()) + .then((x) => new File([x], filename)); + + const params: TranscriptionCreateParams = { file, model }; + + const result = await client.audio.transcriptions.create(params); + expectSimilar(result.text, correctAnswer, 12); + }); + + it('handles Response', async () => { + const file = await fetch(url); + + const result = await client.audio.transcriptions.create({ file, model }); + expectSimilar(result.text, correctAnswer, 12); + }); + } + + const fineTune = `{"prompt": "", "completion": ""}`; + + it('toFile handles string', async () => { + // @ts-ignore this only doesn't error in vercel build... + const file = await toFile(fineTune, 'finetune.jsonl'); + const result = await client.files.create({ file, purpose: 'fine-tune' }); + expectEqual(result.filename, 'finetune.jsonl'); + }); + it('toFile handles Blob', async () => { + const result = await client.files.create({ + file: await toFile(new Blob([fineTune]), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expectEqual(result.filename, 'finetune.jsonl'); + }); + it('toFile handles Uint8Array', async () => { + const result = await client.files.create({ + file: await toFile(new TextEncoder().encode(fineTune), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expectEqual(result.filename, 'finetune.jsonl'); + }); + it('toFile handles ArrayBuffer', async () => { + const result = await client.files.create({ + file: await toFile(new TextEncoder().encode(fineTune).buffer, 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expectEqual(result.filename, 'finetune.jsonl'); + }); + if (runtime !== 'edge') { + // this fails in edge for some reason + it('toFile handles DataView', async () => { + const result = await client.files.create({ + file: await toFile(new DataView(new TextEncoder().encode(fineTune).buffer), 'finetune.jsonl'), + purpose: 'fine-tune', + }); + expectEqual(result.filename, 'finetune.jsonl'); + }); + } + + it('handles query strings', async () => { + expectEqual( + decodeURIComponent((client as any).stringifyQuery({ foo: { nested: { a: true, b: 'foo' } } })), + 'foo[nested][a]=true&foo[nested][b]=foo', + ); + expectEqual( + decodeURIComponent((client as any).stringifyQuery({ foo: { nested: { a: ['hello', 'world'] } } })), + 'foo[nested][a][]=hello&foo[nested][a][]=world', + ); + }); +} diff --git a/ecosystem-tests/vercel-edge/tests/test.ts b/ecosystem-tests/vercel-edge/tests/test.ts new file mode 100644 index 000000000..36a7ea0bf --- /dev/null +++ b/ecosystem-tests/vercel-edge/tests/test.ts @@ -0,0 +1,20 @@ +import fetch from 'node-fetch'; + +const baseUrl = process.env.TEST_BASE_URL || 'http://localhost:3000/'; +console.log(baseUrl); + +it( + 'node runtime', + async () => { + expect(await (await fetch(`${baseUrl}/api/node-test`)).text()).toEqual('Passed!'); + }, + 3 * 60000, +); + +it( + 'edge runtime', + async () => { + expect(await (await fetch(`${baseUrl}/api/edge-test`)).text()).toEqual('Passed!'); + }, + 3 * 60000, +); diff --git a/ecosystem-tests/vercel-edge/tsconfig.json b/ecosystem-tests/vercel-edge/tsconfig.json new file mode 100644 index 000000000..71e5e3d1d --- /dev/null +++ b/ecosystem-tests/vercel-edge/tsconfig.json @@ -0,0 +1,23 @@ +{ + "compilerOptions": { + "target": "es5", + "lib": ["dom", "dom.iterable", "esnext"], + "allowJs": true, + "skipLibCheck": true, + "strict": true, + "forceConsistentCasingInFileNames": true, + "noEmit": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "node", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "preserve", + "incremental": true, + "paths": { + "~/*": ["./src/*"] + } + }, + "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx"], + "exclude": ["node_modules"] +} diff --git a/examples/.gitignore b/examples/.gitignore new file mode 100644 index 000000000..a8669b19e --- /dev/null +++ b/examples/.gitignore @@ -0,0 +1,2 @@ +yarn.lock +node_modules diff --git a/examples/.keep b/examples/.keep new file mode 100644 index 000000000..0651c89c0 --- /dev/null +++ b/examples/.keep @@ -0,0 +1,4 @@ +File generated from our OpenAPI spec by Stainless. + +This directory can be used to store example files demonstrating usage of this SDK. +It is ignored by Stainless code generation and its content (other than this keep file) won't be touched. diff --git a/examples/assistant-stream-raw.ts b/examples/assistant-stream-raw.ts new file mode 100755 index 000000000..399064807 --- /dev/null +++ b/examples/assistant-stream-raw.ts @@ -0,0 +1,41 @@ +#!/usr/bin/env -S npm run tsn -T + +import OpenAI from 'openai'; + +const openai = new OpenAI(); + +async function main() { + const assistant = await openai.beta.assistants.create({ + model: 'gpt-4-1106-preview', + name: 'Math Tutor', + instructions: 'You are a personal math tutor. Write and run code to answer math questions.', + }); + + const thread = await openai.beta.threads.create({ + messages: [ + { + role: 'user', + content: '"I need to solve the equation `3x + 11 = 14`. Can you help me?"', + }, + ], + }); + + const stream = await openai.beta.threads.runs.create(thread.id, { + assistant_id: assistant.id, + additional_instructions: 'Please address the user as Jane Doe. The user has a premium account.', + stream: true, + }); + + for await (const event of stream) { + if (event.event === 'thread.message.delta') { + const chunk = event.data.delta.content?.[0]; + if (chunk && 'text' in chunk && chunk.text.value) { + process.stdout.write(chunk.text.value); + } + } + } + + console.log(); +} + +main(); diff --git a/examples/assistant-stream.ts b/examples/assistant-stream.ts new file mode 100755 index 000000000..d1d5b040f --- /dev/null +++ b/examples/assistant-stream.ts @@ -0,0 +1,47 @@ +#!/usr/bin/env -S npm run tsn -T + +import OpenAI from 'openai'; + +/** + * Example of streaming a response from an assistant + */ + +const openai = new OpenAI(); + +async function main() { + const assistant = await openai.beta.assistants.create({ + model: 'gpt-4-1106-preview', + name: 'Math Tutor', + instructions: 'You are a personal math tutor. Write and run code to answer math questions.', + }); + + let assistantId = assistant.id; + console.log('Created Assistant with Id: ' + assistantId); + + const thread = await openai.beta.threads.create({ + messages: [ + { + role: 'user', + content: '"I need to solve the equation `3x + 11 = 14`. Can you help me?"', + }, + ], + }); + + let threadId = thread.id; + console.log('Created thread with Id: ' + threadId); + + const run = openai.beta.threads.runs + .stream(threadId, { + assistant_id: assistantId, + }) + //Subscribe to streaming events and log them + .on('event', (event) => console.log(event)) + .on('textDelta', (delta, snapshot) => console.log(snapshot)) + .on('messageDelta', (delta, snapshot) => console.log(snapshot)) + .on('run', (run) => console.log(run)) + .on('connect', () => console.log()); + const result = await run.finalRun(); + console.log('Run Result' + result); +} + +main(); diff --git a/examples/assistants.ts b/examples/assistants.ts new file mode 100755 index 000000000..40238ac86 --- /dev/null +++ b/examples/assistants.ts @@ -0,0 +1,49 @@ +#!/usr/bin/env -S npm run tsn -T + +import OpenAI from 'openai'; + +/** + * Example of polling for a complete response from an assistant + */ + +const openai = new OpenAI(); + +async function main() { + const assistant = await openai.beta.assistants.create({ + model: 'gpt-4-1106-preview', + name: 'Math Tutor', + instructions: 'You are a personal math tutor. Write and run code to answer math questions.', + // tools = [], + }); + + let assistantId = assistant.id; + console.log('Created Assistant with Id: ' + assistantId); + + const thread = await openai.beta.threads.create({ + messages: [ + { + role: 'user', + content: '"I need to solve the equation `3x + 11 = 14`. Can you help me?"', + }, + ], + }); + + let threadId = thread.id; + console.log('Created thread with Id: ' + threadId); + + const run = await openai.beta.threads.runs.createAndPoll(thread.id, { + assistant_id: assistantId, + additional_instructions: 'Please address the user as Jane Doe. The user has a premium account.', + }); + + console.log('Run finished with status: ' + run.status); + + if (run.status == 'completed') { + const messages = await openai.beta.threads.messages.list(thread.id); + for (const message of messages.getPaginatedItems()) { + console.log(message); + } + } +} + +main(); diff --git a/examples/audio.ts b/examples/audio.ts new file mode 100755 index 000000000..a37c93b20 --- /dev/null +++ b/examples/audio.ts @@ -0,0 +1,73 @@ +#!/usr/bin/env -S npm run tsn -T +import 'openai/shims/node'; + +import OpenAI, { toFile } from 'openai'; +import fs from 'fs'; +import path from 'path'; + +// gets API Key from environment variable OPENAI_API_KEY +const openai = new OpenAI(); + +const speechFile = path.resolve(__dirname, './speech.mp3'); + +async function main() { + await streamingDemoNode(); + await blockingDemo(); +} +main(); + +async function streamingDemoNode() { + const response = await openai.audio.speech.create({ + model: 'tts-1', + voice: 'alloy', + input: 'the quick brown chicken jumped over the lazy dogs', + }); + + const stream = response.body; + + console.log(`Streaming response to ${speechFile}`); + await streamToFile(stream, speechFile); + console.log('Finished streaming'); +} + +async function blockingDemo() { + const mp3 = await openai.audio.speech.create({ + model: 'tts-1', + voice: 'alloy', + input: 'the quick brown fox jumped over the lazy dogs', + }); + + const buffer = Buffer.from(await mp3.arrayBuffer()); + await fs.promises.writeFile(speechFile, buffer); + + const transcription = await openai.audio.transcriptions.create({ + file: await toFile(buffer, 'speech.mp3'), + model: 'whisper-1', + }); + console.log(transcription.text); + + const translation = await openai.audio.translations.create({ + file: await toFile(buffer, 'speech.mp3'), + model: 'whisper-1', + }); + console.log(translation.text); +} + +/** + * Note, this is Node-specific. + * + * Other runtimes would need a different `fs`, + * and would also use a web ReadableStream, + * which is different from a Node ReadableStream. + */ +async function streamToFile(stream: NodeJS.ReadableStream, path: fs.PathLike) { + return new Promise((resolve, reject) => { + const writeStream = fs.createWriteStream(path).on('error', reject).on('finish', resolve); + + // If you don't see a `stream.pipe` method and you're using Node you might need to add `import 'openai/shims/node'` at the top of your entrypoint file. + stream.pipe(writeStream).on('error', (error) => { + writeStream.close(); + reject(error); + }); + }); +} diff --git a/examples/azure/chat.ts b/examples/azure/chat.ts new file mode 100755 index 000000000..46df820f8 --- /dev/null +++ b/examples/azure/chat.ts @@ -0,0 +1,44 @@ +#!/usr/bin/env -S npm run tsn -T + +import { AzureOpenAI } from 'openai'; +import { getBearerTokenProvider, DefaultAzureCredential } from '@azure/identity'; +import 'dotenv/config'; + +// Corresponds to your Model deployment within your OpenAI resource, e.g. gpt-4-1106-preview +// Navigate to the Azure OpenAI Studio to deploy a model. +const deployment = 'gpt-4-1106-preview'; + +const credential = new DefaultAzureCredential(); +const scope = 'https://cognitiveservices.azure.com/.default'; +const azureADTokenProvider = getBearerTokenProvider(credential, scope); + +// Make sure to set AZURE_OPENAI_ENDPOINT with the endpoint of your Azure resource. +// You can find it in the Azure Portal. +const openai = new AzureOpenAI({ azureADTokenProvider, apiVersion: '2024-10-01-preview' }); + +async function main() { + console.log('Non-streaming:'); + const result = await openai.chat.completions.create({ + model: deployment, + messages: [{ role: 'user', content: 'Say hello!' }], + }); + console.log(result.choices[0]!.message?.content); + + console.log(); + console.log('Streaming:'); + const stream = await openai.chat.completions.create({ + model: deployment, + messages: [{ role: 'user', content: 'Say hello!' }], + stream: true, + }); + + for await (const part of stream) { + process.stdout.write(part.choices[0]?.delta?.content ?? ''); + } + process.stdout.write('\n'); +} + +main().catch((err) => { + console.error(err); + process.exit(1); +}); diff --git a/examples/azure/realtime/websocket.ts b/examples/azure/realtime/websocket.ts new file mode 100644 index 000000000..91fe3b7b9 --- /dev/null +++ b/examples/azure/realtime/websocket.ts @@ -0,0 +1,60 @@ +import { OpenAIRealtimeWebSocket } from 'openai/beta/realtime/websocket'; +import { AzureOpenAI } from 'openai'; +import { DefaultAzureCredential, getBearerTokenProvider } from '@azure/identity'; +import 'dotenv/config'; + +async function main() { + const cred = new DefaultAzureCredential(); + const scope = 'https://cognitiveservices.azure.com/.default'; + const deploymentName = 'gpt-4o-realtime-preview-1001'; + const azureADTokenProvider = getBearerTokenProvider(cred, scope); + const client = new AzureOpenAI({ + azureADTokenProvider, + apiVersion: '2024-10-01-preview', + deployment: deploymentName, + }); + const rt = await OpenAIRealtimeWebSocket.azure(client); + + // access the underlying `ws.WebSocket` instance + rt.socket.addEventListener('open', () => { + console.log('Connection opened!'); + rt.send({ + type: 'session.update', + session: { + modalities: ['text'], + model: 'gpt-4o-realtime-preview', + }, + }); + + rt.send({ + type: 'conversation.item.create', + item: { + type: 'message', + role: 'user', + content: [{ type: 'input_text', text: 'Say a couple paragraphs!' }], + }, + }); + + rt.send({ type: 'response.create' }); + }); + + rt.on('error', (err) => { + // in a real world scenario this should be logged somewhere as you + // likely want to continue processing events regardless of any errors + throw err; + }); + + rt.on('session.created', (event) => { + console.log('session created!', event.session); + console.log(); + }); + + rt.on('response.text.delta', (event) => process.stdout.write(event.delta)); + rt.on('response.text.done', () => console.log()); + + rt.on('response.done', () => rt.close()); + + rt.socket.addEventListener('close', () => console.log('\nConnection closed!')); +} + +main(); diff --git a/examples/azure/realtime/ws.ts b/examples/azure/realtime/ws.ts new file mode 100644 index 000000000..8b22aeef0 --- /dev/null +++ b/examples/azure/realtime/ws.ts @@ -0,0 +1,60 @@ +import { DefaultAzureCredential, getBearerTokenProvider } from '@azure/identity'; +import { OpenAIRealtimeWS } from 'openai/beta/realtime/ws'; +import { AzureOpenAI } from 'openai'; +import 'dotenv/config'; + +async function main() { + const cred = new DefaultAzureCredential(); + const scope = 'https://cognitiveservices.azure.com/.default'; + const deploymentName = 'gpt-4o-realtime-preview-1001'; + const azureADTokenProvider = getBearerTokenProvider(cred, scope); + const client = new AzureOpenAI({ + azureADTokenProvider, + apiVersion: '2024-10-01-preview', + deployment: deploymentName, + }); + const rt = await OpenAIRealtimeWS.azure(client); + + // access the underlying `ws.WebSocket` instance + rt.socket.on('open', () => { + console.log('Connection opened!'); + rt.send({ + type: 'session.update', + session: { + modalities: ['text'], + model: 'gpt-4o-realtime-preview', + }, + }); + + rt.send({ + type: 'conversation.item.create', + item: { + type: 'message', + role: 'user', + content: [{ type: 'input_text', text: 'Say a couple paragraphs!' }], + }, + }); + + rt.send({ type: 'response.create' }); + }); + + rt.on('error', (err) => { + // in a real world scenario this should be logged somewhere as you + // likely want to continue processing events regardless of any errors + throw err; + }); + + rt.on('session.created', (event) => { + console.log('session created!', event.session); + console.log(); + }); + + rt.on('response.text.delta', (event) => process.stdout.write(event.delta)); + rt.on('response.text.done', () => console.log()); + + rt.on('response.done', () => rt.close()); + + rt.socket.on('close', () => console.log('\nConnection closed!')); +} + +main(); diff --git a/examples/chat-params-types.ts b/examples/chat-params-types.ts new file mode 100755 index 000000000..86c28fc8b --- /dev/null +++ b/examples/chat-params-types.ts @@ -0,0 +1,116 @@ +#!/usr/bin/env -S npm run tsn -T + +import OpenAI from 'openai'; +import { Stream } from 'openai/streaming'; + +// gets API Key from environment variable OPENAI_API_KEY +const openai = new OpenAI(); + +async function main() { + // ---------------- Explicit non-streaming params ------------ + + const params: OpenAI.Chat.ChatCompletionCreateParams = { + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test!' }], + }; + const completion = await openai.chat.completions.create(params); + console.log(completion.choices[0]?.message?.content); + + // ---------------- Explicit streaming params ---------------- + + const streamingParams: OpenAI.Chat.ChatCompletionCreateParams = { + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test!' }], + stream: true, + }; + + const stream = await openai.chat.completions.create(streamingParams); + for await (const chunk of stream) { + process.stdout.write(chunk.choices[0]?.delta?.content || ''); + } + process.stdout.write('\n'); + + // ---------------- Explicit (non)streaming types ---------------- + + const params1: OpenAI.Chat.ChatCompletionCreateParamsNonStreaming = { + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test!' }], + }; + + const params2: OpenAI.Chat.ChatCompletionCreateParamsStreaming = { + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test!' }], + stream: true, + }; + + // ---------------- Implicit params type ------------------- + + // Note: the `as const` is required here so that TS can properly infer + // the right params type. + // + // If you didn't include it then you'd also get an error saying that + // `role: string` is not assignable. + const streamingParams2 = { + model: 'gpt-4', + messages: [{ role: 'user' as const, content: 'Say this is a test!' }], + stream: true as const, + }; + + // TS knows this is a Stream instance. + const stream2 = await openai.chat.completions.create(streamingParams2); + for await (const chunk of stream2) { + process.stdout.write(chunk.choices[0]?.delta?.content || ''); + } + process.stdout.write('\n'); + + // Without the `as const` for `stream`. + const streamingParams3 = { + model: 'gpt-4', + messages: [{ role: 'user' as const, content: 'Say this is a test!' }], + stream: true, + }; + + // TS doesn't know if this is a `Stream` or a direct response + const response = await openai.chat.completions.create(streamingParams3); + if (response instanceof Stream) { + // here TS knows the response type is a `Stream` + } else { + // here TS knows the response type is a `ChatCompletion` + } + + // ---------------- Dynamic params type ------------------- + + // TS knows this is a `Stream` + const streamParamsFromFn = await createCompletionParams(true); + const streamFromFn = await openai.chat.completions.create(streamParamsFromFn); + console.log(streamFromFn); + + // TS knows this is a `ChatCompletion` + const paramsFromFn = await createCompletionParams(false); + const completionFromFn = await openai.chat.completions.create(paramsFromFn); + console.log(completionFromFn); +} + +// Dynamically construct the params object while retaining whether or +// not the response will be streamed. +export async function createCompletionParams( + stream: true, +): Promise; +export async function createCompletionParams( + stream: false, +): Promise; +export async function createCompletionParams( + stream: boolean, +): Promise { + const params = { + model: 'gpt-3.5-turbo', + messages: [{ role: 'user' as const, content: 'Hello!' }], + stream: stream, + }; + + // + + return params; +} + +main(); diff --git a/examples/demo.ts b/examples/demo.ts new file mode 100755 index 000000000..a76e61239 --- /dev/null +++ b/examples/demo.ts @@ -0,0 +1,28 @@ +#!/usr/bin/env -S npm run tsn -T + +import OpenAI from 'openai'; + +// gets API Key from environment variable OPENAI_API_KEY +const openai = new OpenAI(); + +async function main() { + // Non-streaming: + const completion = await openai.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + }); + console.log(completion.choices[0]?.message?.content); + + // Streaming: + const stream = await openai.chat.completions.create({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + stream: true, + }); + for await (const part of stream) { + process.stdout.write(part.choices[0]?.delta?.content || ''); + } + process.stdout.write('\n'); +} + +main(); diff --git a/examples/errors.ts b/examples/errors.ts new file mode 100755 index 000000000..6aa5b5679 --- /dev/null +++ b/examples/errors.ts @@ -0,0 +1,29 @@ +#!/usr/bin/env -S npm run tsn -T + +import OpenAI, { NotFoundError } from 'openai'; + +// gets API Key from environment variable OPENAI_API_KEY +const client = new OpenAI(); + +async function main() { + try { + await client.completions.create({ + prompt: 'Say this is a test', + model: 'unknown-model', + }); + } catch (err) { + if (err instanceof NotFoundError) { + console.log(`Caught NotFoundError!`); + console.log(err); + console.log(`message: `, err.message); + console.log(`code: `, err.code); + console.log(`type: `, err.type); + console.log(`param: `, err.param); + } else { + console.log(`Raised unknown error`); + throw err; + } + } +} + +main(); diff --git a/examples/fine-tuning-data.jsonl b/examples/fine-tuning-data.jsonl new file mode 100644 index 000000000..e9ab2679f --- /dev/null +++ b/examples/fine-tuning-data.jsonl @@ -0,0 +1,10 @@ +{"messages": [{"role": "system", "content": "Marvin is a factual chatbot that is also sarcastic."}, {"role": "user", "content": "What's the capital of France?"}, {"role": "assistant", "content": "Paris, as if everyone doesn't know that already."}]} +{"messages": [{"role": "system", "content": "Marvin is a factual chatbot that is also sarcastic."}, {"role": "user", "content": "Who wrote 'Romeo and Juliet'?"}, {"role": "assistant", "content": "Oh, just some guy named William Shakespeare. Ever heard of him?"}]} +{"messages": [{"role": "system", "content": "Marvin is a factual chatbot that is also sarcastic."}, {"role": "user", "content": "How far is the Moon from Earth?"}, {"role": "assistant", "content": "Around 384,400 kilometers. Give or take a few, like that really matters."}]} +{"messages": [{"role": "system", "content": "Marvin is a factual chatbot that is also sarcastic."}, {"role": "user", "content": "What's the tallest mountain in the world?"}, {"role": "assistant", "content": "Everest, of course. Because no other mountain even comes close!"}]} +{"messages": [{"role": "system", "content": "Marvin is a factual chatbot that is also sarcastic."}, {"role": "user", "content": "Who was the first President of the United States?"}, {"role": "assistant", "content": "George Washington, but don't feel bad, it's only common knowledge."}]} +{"messages": [{"role": "system", "content": "Marvin is a factual chatbot that is also sarcastic."}, {"role": "user", "content": "What's the boiling point of water?"}, {"role": "assistant", "content": "100°C at sea level. Shocking, isn't it?"}]} +{"messages": [{"role": "system", "content": "Marvin is a factual chatbot that is also sarcastic."}, {"role": "user", "content": "What's the largest ocean on Earth?"}, {"role": "assistant", "content": "The Pacific Ocean. Surprised? Me neither."}]} +{"messages": [{"role": "system", "content": "Marvin is a factual chatbot that is also sarcastic."}, {"role": "user", "content": "What's the smallest planet in our solar system?"}, {"role": "assistant", "content": "Mercury. It's not like it's a big deal or anything."}]} +{"messages": [{"role": "system", "content": "Marvin is a factual chatbot that is also sarcastic."}, {"role": "user", "content": "Who discovered penicillin?"}, {"role": "assistant", "content": "Alexander Fleming. But don't worry, it's not like he's famous for it or anything."}]} +{"messages": [{"role": "system", "content": "Marvin is a factual chatbot that is also sarcastic."}, {"role": "user", "content": "When was the internet invented?"}, {"role": "assistant", "content": "In the 1960s, but hey, who's counting?"}]} diff --git a/examples/fine-tuning.ts b/examples/fine-tuning.ts new file mode 100755 index 000000000..412fc6ada --- /dev/null +++ b/examples/fine-tuning.ts @@ -0,0 +1,71 @@ +#!/usr/bin/env -S npm run tsn -T + +/** + * Fine-tuning allows you to train models on your own data. + * + * See this guide for more information: + * - https://platform.openai.com/docs/guides/fine-tuning + */ + +import fs from 'fs'; +import OpenAI from 'openai'; +import { FineTuningJobEvent } from 'openai/resources/fine-tuning'; + +// Gets the API Key from the environment variable `OPENAI_API_KEY` +const client = new OpenAI(); + +async function main() { + console.log(`Uploading file`); + + let file = await client.files.create({ + file: fs.createReadStream('./examples/fine-tuning-data.jsonl'), + purpose: 'fine-tune', + }); + console.log(`Uploaded file with ID: ${file.id}`); + + console.log('-----'); + + console.log(`Waiting for file to be processed`); + while (true) { + file = await client.files.retrieve(file.id); + console.log(`File status: ${file.status}`); + + if (file.status === 'processed') { + break; + } else { + await new Promise((resolve) => setTimeout(resolve, 1000)); + } + } + + console.log('-----'); + + console.log(`Starting fine-tuning`); + let fineTune = await client.fineTuning.jobs.create({ model: 'gpt-3.5-turbo', training_file: file.id }); + console.log(`Fine-tuning ID: ${fineTune.id}`); + + console.log('-----'); + + console.log(`Track fine-tuning progress:`); + + const events: Record = {}; + + while (fineTune.status == 'running' || fineTune.status == 'queued') { + fineTune = await client.fineTuning.jobs.retrieve(fineTune.id); + console.log(`${fineTune.status}`); + + const { data } = await client.fineTuning.jobs.listEvents(fineTune.id, { limit: 100 }); + for (const event of data.reverse()) { + if (event.id in events) continue; + events[event.id] = event; + const timestamp = new Date(event.created_at * 1000); + console.log(`- ${timestamp.toLocaleTimeString()}: ${event.message}`); + } + + await new Promise((resolve) => setTimeout(resolve, 5000)); + } +} + +main().catch((err) => { + console.error(err); + process.exit(1); +}); diff --git a/examples/function-call-diy.ts b/examples/function-call-diy.ts new file mode 100755 index 000000000..ce12431b0 --- /dev/null +++ b/examples/function-call-diy.ts @@ -0,0 +1,142 @@ +#!/usr/bin/env -S npm run tsn -T + +import OpenAI from 'openai'; +import { ChatCompletionMessage, ChatCompletionMessageParam } from 'openai/resources/chat'; + +// gets API Key from environment variable OPENAI_API_KEY +const openai = new OpenAI(); + +const functions: OpenAI.Chat.ChatCompletionCreateParams.Function[] = [ + { + name: 'list', + description: 'list queries books by genre, and returns a list of names of books', + parameters: { + type: 'object', + properties: { + genre: { type: 'string', enum: ['mystery', 'nonfiction', 'memoir', 'romance', 'historical'] }, + }, + }, + }, + { + name: 'search', + description: 'search queries books by their name and returns a list of book names and their ids', + parameters: { + type: 'object', + properties: { + name: { type: 'string' }, + }, + }, + }, + { + name: 'get', + description: + "get returns a book's detailed information based on the id of the book. Note that this does not accept names, and only IDs, which you can get by using search.", + parameters: { + type: 'object', + properties: { + id: { type: 'string' }, + }, + }, + }, +]; + +async function callFunction(function_call: ChatCompletionMessage.FunctionCall): Promise { + const args = JSON.parse(function_call.arguments!); + switch (function_call.name) { + case 'list': + return await list(args['genre']); + + case 'search': + return await search(args['name']); + + case 'get': + return await get(args['id']); + + default: + throw new Error('No function found'); + } +} + +async function main() { + const messages: ChatCompletionMessageParam[] = [ + { + role: 'system', + content: + 'Please use our book database, which you can access using functions to answer the following questions.', + }, + { + role: 'user', + content: + 'I really enjoyed reading To Kill a Mockingbird, could you recommend me a book that is similar and tell me why?', + }, + ]; + console.log(messages[0]); + console.log(messages[1]); + console.log(); + + while (true) { + const completion = await openai.chat.completions.create({ + model: 'gpt-3.5-turbo', + messages, + functions: functions, + }); + + const message = completion.choices[0]!.message; + messages.push(message); + console.log(message); + + // If there is no function call, we're done and can exit this loop + if (!message.function_call) { + return; + } + + // If there is a function call, we generate a new message with the role 'function'. + const result = await callFunction(message.function_call); + const newMessage = { + role: 'function' as const, + name: message.function_call.name!, + content: JSON.stringify(result), + }; + messages.push(newMessage); + + console.log(newMessage); + console.log(); + } +} + +const db = [ + { + id: 'a1', + name: 'To Kill a Mockingbird', + genre: 'historical', + description: `Compassionate, dramatic, and deeply moving, "To Kill A Mockingbird" takes readers to the roots of human behavior - to innocence and experience, kindness and cruelty, love and hatred, humor and pathos. Now with over 18 million copies in print and translated into forty languages, this regional story by a young Alabama woman claims universal appeal. Harper Lee always considered her book to be a simple love story. Today it is regarded as a masterpiece of American literature.`, + }, + { + id: 'a2', + name: 'All the Light We Cannot See', + genre: 'historical', + description: `In a mining town in Germany, Werner Pfennig, an orphan, grows up with his younger sister, enchanted by a crude radio they find that brings them news and stories from places they have never seen or imagined. Werner becomes an expert at building and fixing these crucial new instruments and is enlisted to use his talent to track down the resistance. Deftly interweaving the lives of Marie-Laure and Werner, Doerr illuminates the ways, against all odds, people try to be good to one another.`, + }, + { + id: 'a3', + name: 'Where the Crawdads Sing', + genre: 'historical', + description: `For years, rumors of the “Marsh Girl” haunted Barkley Cove, a quiet fishing village. Kya Clark is barefoot and wild; unfit for polite society. So in late 1969, when the popular Chase Andrews is found dead, locals immediately suspect her. + +But Kya is not what they say. A born naturalist with just one day of school, she takes life's lessons from the land, learning the real ways of the world from the dishonest signals of fireflies. But while she has the skills to live in solitude forever, the time comes when she yearns to be touched and loved. Drawn to two young men from town, who are each intrigued by her wild beauty, Kya opens herself to a new and startling world—until the unthinkable happens.`, + }, +]; + +async function list(genre: string) { + return db.filter((item) => item.genre === genre).map((item) => ({ name: item.name, id: item.id })); +} + +async function search(name: string) { + return db.filter((item) => item.name.includes(name)).map((item) => ({ name: item.name, id: item.id })); +} + +async function get(id: string) { + return db.find((item) => item.id === id)!; +} + +main(); diff --git a/examples/function-call-helpers-zod.ts b/examples/function-call-helpers-zod.ts new file mode 100755 index 000000000..f783aee08 --- /dev/null +++ b/examples/function-call-helpers-zod.ts @@ -0,0 +1,112 @@ +#!/usr/bin/env -S npm run tsn -T + +import OpenAI from 'openai'; +import { ZodSchema, z } from 'zod'; +import { zodToJsonSchema } from 'zod-to-json-schema'; + +const openai = new OpenAI(); + +const ListParams = z.object({ + genre: z.enum(['mystery', 'nonfiction', 'memoir', 'romance', 'historical']), +}); + +const SearchParams = z.object({ + name: z.string(), +}); + +const GetParams = z.object({ + id: z.string(), +}); + +const functions = [ + { + name: 'list', + description: 'list queries books by genre, and returns a list of names of books', + parameters: zodToJsonSchema(ListParams), + parse: zodParseJSON(ListParams), + function: list, + }, + { + name: 'search', + description: 'search queries books by their name and returns a list of book names and their ids', + parameters: zodToJsonSchema(SearchParams), + parse: zodParseJSON(SearchParams), + function: search, + }, + { + name: 'get', + description: + "get returns a book's detailed information based on the id of the book. Note that this does not accept names, and only IDs, which you can get by using search.", + parameters: zodToJsonSchema(GetParams), + parse: zodParseJSON(GetParams), + function: get, + }, +] as const; + +async function main() { + const runner = await openai.beta.chat.completions + .runFunctions({ + model: 'gpt-3.5-turbo', + messages: [ + { + role: 'system', + content: + 'Please use our book database, which you can access using functions to answer the following questions.', + }, + { + role: 'user', + content: + 'I really enjoyed reading To Kill a Mockingbird, could you recommend me a book that is similar and tell me why?', + }, + ], + functions, + }) + .on('message', (msg) => console.log(msg)) + .on('content', (diff) => process.stdout.write(diff)); + + const result = await runner.finalChatCompletion(); + console.log(result); + + console.log(); + console.log(runner.messages); +} + +const db = [ + { + id: 'a1', + name: 'To Kill a Mockingbird', + genre: 'historical', + description: `Compassionate, dramatic, and deeply moving, "To Kill A Mockingbird" takes readers to the roots of human behavior - to innocence and experience, kindness and cruelty, love and hatred, humor and pathos. Now with over 18 million copies in print and translated into forty languages, this regional story by a young Alabama woman claims universal appeal. Harper Lee always considered her book to be a simple love story. Today it is regarded as a masterpiece of American literature.`, + }, + { + id: 'a2', + name: 'All the Light We Cannot See', + genre: 'historical', + description: `In a mining town in Germany, Werner Pfennig, an orphan, grows up with his younger sister, enchanted by a crude radio they find that brings them news and stories from places they have never seen or imagined. Werner becomes an expert at building and fixing these crucial new instruments and is enlisted to use his talent to track down the resistance. Deftly interweaving the lives of Marie-Laure and Werner, Doerr illuminates the ways, against all odds, people try to be good to one another.`, + }, + { + id: 'a3', + name: 'Where the Crawdads Sing', + genre: 'historical', + description: `For years, rumors of the “Marsh Girl” haunted Barkley Cove, a quiet fishing village. Kya Clark is barefoot and wild; unfit for polite society. So in late 1969, when the popular Chase Andrews is found dead, locals immediately suspect her. +But Kya is not what they say. A born naturalist with just one day of school, she takes life's lessons from the land, learning the real ways of the world from the dishonest signals of fireflies. But while she has the skills to live in solitude forever, the time comes when she yearns to be touched and loved. Drawn to two young men from town, who are each intrigued by her wild beauty, Kya opens herself to a new and startling world—until the unthinkable happens.`, + }, +]; + +async function list({ genre }: z.infer) { + return db.filter((item) => item.genre === genre).map((item) => ({ name: item.name, id: item.id })); +} + +async function search({ name }: z.infer) { + return db.filter((item) => item.name.includes(name)).map((item) => ({ name: item.name, id: item.id })); +} + +async function get({ id }: z.infer) { + return db.find((item) => item.id === id)!; +} + +function zodParseJSON(schema: ZodSchema) { + return (input: string): T => schema.parse(JSON.parse(input)); +} + +main(); diff --git a/examples/function-call-helpers.ts b/examples/function-call-helpers.ts new file mode 100755 index 000000000..48e2afd62 --- /dev/null +++ b/examples/function-call-helpers.ts @@ -0,0 +1,110 @@ +#!/usr/bin/env -S npm run tsn -T + +import OpenAI from 'openai'; + +// gets API Key from environment variable OPENAI_API_KEY +const openai = new OpenAI(); + +const functions = [ + { + name: 'list', + description: 'list queries books by genre, and returns a list of names of books', + parameters: { + type: 'object', + properties: { + genre: { type: 'string', enum: ['mystery', 'nonfiction', 'memoir', 'romance', 'historical'] }, + }, + }, + function: list, + parse: JSON.parse, + }, + { + name: 'search', + description: 'search queries books by their name and returns a list of book names and their ids', + parameters: { + type: 'object', + properties: { + name: { type: 'string' }, + }, + }, + function: search, + parse: JSON.parse, + }, + { + name: 'get', + description: + "get returns a book's detailed information based on the id of the book. Note that this does not accept names, and only IDs, which you can get by using search.", + parameters: { + type: 'object', + properties: { + id: { type: 'string' }, + }, + }, + function: get, + parse: JSON.parse, + }, +]; + +async function main() { + const runner = await openai.beta.chat.completions + .runFunctions({ + model: 'gpt-3.5-turbo', + messages: [ + { + role: 'system', + content: + 'Please use our book database, which you can access using functions to answer the following questions.', + }, + { + role: 'user', + content: + 'I really enjoyed reading To Kill a Mockingbird, could you recommend me a book that is similar and tell me why?', + }, + ], + functions, + }) + .on('message', (msg) => console.log(msg)) + .on('content', (diff) => process.stdout.write(diff)); + + const result = await runner.finalChatCompletion(); + console.log(result); + + console.log(); + console.log(runner.messages); +} + +const db = [ + { + id: 'a1', + name: 'To Kill a Mockingbird', + genre: 'historical', + description: `Compassionate, dramatic, and deeply moving, "To Kill A Mockingbird" takes readers to the roots of human behavior - to innocence and experience, kindness and cruelty, love and hatred, humor and pathos. Now with over 18 million copies in print and translated into forty languages, this regional story by a young Alabama woman claims universal appeal. Harper Lee always considered her book to be a simple love story. Today it is regarded as a masterpiece of American literature.`, + }, + { + id: 'a2', + name: 'All the Light We Cannot See', + genre: 'historical', + description: `In a mining town in Germany, Werner Pfennig, an orphan, grows up with his younger sister, enchanted by a crude radio they find that brings them news and stories from places they have never seen or imagined. Werner becomes an expert at building and fixing these crucial new instruments and is enlisted to use his talent to track down the resistance. Deftly interweaving the lives of Marie-Laure and Werner, Doerr illuminates the ways, against all odds, people try to be good to one another.`, + }, + { + id: 'a3', + name: 'Where the Crawdads Sing', + genre: 'historical', + description: `For years, rumors of the “Marsh Girl” haunted Barkley Cove, a quiet fishing village. Kya Clark is barefoot and wild; unfit for polite society. So in late 1969, when the popular Chase Andrews is found dead, locals immediately suspect her. +But Kya is not what they say. A born naturalist with just one day of school, she takes life's lessons from the land, learning the real ways of the world from the dishonest signals of fireflies. But while she has the skills to live in solitude forever, the time comes when she yearns to be touched and loved. Drawn to two young men from town, who are each intrigued by her wild beauty, Kya opens herself to a new and startling world—until the unthinkable happens.`, + }, +]; + +async function list({ genre }: { genre: string }) { + return db.filter((item) => item.genre === genre).map((item) => ({ name: item.name, id: item.id })); +} + +async function search({ name }: { name: string }) { + return db.filter((item) => item.name.includes(name)).map((item) => ({ name: item.name, id: item.id })); +} + +async function get({ id }: { id: string }) { + return db.find((item) => item.id === id)!; +} + +main(); diff --git a/examples/function-call-stream-raw.ts b/examples/function-call-stream-raw.ts new file mode 100755 index 000000000..be4688aa7 --- /dev/null +++ b/examples/function-call-stream-raw.ts @@ -0,0 +1,185 @@ +#!/usr/bin/env -S npm run tsn -T + +import util from 'util'; +import OpenAI from 'openai'; +import { + ChatCompletionMessage, + ChatCompletionChunk, + ChatCompletionMessageParam, +} from 'openai/resources/chat'; + +// gets API Key from environment variable OPENAI_API_KEY +const openai = new OpenAI(); + +const functions: OpenAI.Chat.ChatCompletionCreateParams.Function[] = [ + { + name: 'list', + description: 'list queries books by genre, and returns a list of names of books', + parameters: { + type: 'object', + properties: { + genre: { type: 'string', enum: ['mystery', 'nonfiction', 'memoir', 'romance', 'historical'] }, + }, + }, + }, + { + name: 'search', + description: 'search queries books by their name and returns a list of book names and their ids', + parameters: { + type: 'object', + properties: { + name: { type: 'string' }, + }, + }, + }, + { + name: 'get', + description: + "get returns a book's detailed information based on the id of the book. Note that this does not accept names, and only IDs, which you can get by using search.", + parameters: { + type: 'object', + properties: { + id: { type: 'string' }, + }, + }, + }, +]; + +async function callFunction(function_call: ChatCompletionMessage.FunctionCall): Promise { + const args = JSON.parse(function_call.arguments!); + switch (function_call.name) { + case 'list': + return await list(args['genre']); + + case 'search': + return await search(args['name']); + + case 'get': + return await get(args['id']); + + default: + throw new Error('No function found'); + } +} + +async function main() { + const messages: ChatCompletionMessageParam[] = [ + { + role: 'system', + content: + 'Please use our book database, which you can access using functions to answer the following questions.', + }, + { + role: 'user', + content: + 'I really enjoyed reading To Kill a Mockingbird, could you recommend me a book that is similar and tell me why?', + }, + ]; + console.log(messages[0]); + console.log(messages[1]); + console.log(); + + while (true) { + const stream = await openai.chat.completions.create({ + model: 'gpt-3.5-turbo', + messages, + functions: functions, + stream: true, + }); + + // Since the stream returns chunks, we need to build up the ChatCompletionMessage object. + // We implement this logic in messageReducer, which coalesces deltas into the message. + // `lineRewriter()` allows us to rewrite the last output with new text, which is one + // way of forwarding the streamed output to a visual interface. + let writeLine = lineRewriter(); + let message = {} as ChatCompletionMessage; + for await (const chunk of stream) { + message = messageReducer(message, chunk); + writeLine(message); + } + console.log(); + messages.push(message); + + // If there is no function call, we're done and can exit this loop + if (!message.function_call) { + return; + } + + // If there is a function call, we generate a new message with the role 'function'. + const result = await callFunction(message.function_call); + const newMessage = { + role: 'function' as const, + name: message.function_call.name!, + content: JSON.stringify(result), + }; + messages.push(newMessage); + + console.log(newMessage); + console.log(); + } +} + +function messageReducer(previous: ChatCompletionMessage, item: ChatCompletionChunk): ChatCompletionMessage { + const reduce = (acc: any, delta: any) => { + acc = { ...acc }; + for (const [key, value] of Object.entries(delta)) { + if (acc[key] === undefined || acc[key] === null) { + acc[key] = value; + } else if (typeof acc[key] === 'string' && typeof value === 'string') { + (acc[key] as string) += value; + } else if (typeof acc[key] === 'object' && !Array.isArray(acc[key])) { + acc[key] = reduce(acc[key], value); + } + } + return acc; + }; + + return reduce(previous, item.choices[0]!.delta) as ChatCompletionMessage; +} + +function lineRewriter() { + let lastMessageLength = 0; + return function write(value: any) { + process.stdout.cursorTo(0); + process.stdout.moveCursor(0, -Math.floor((lastMessageLength - 1) / process.stdout.columns)); + lastMessageLength = util.formatWithOptions({ colors: false, breakLength: Infinity }, value).length; + process.stdout.write(util.formatWithOptions({ colors: true, breakLength: Infinity }, value)); + }; +} + +const db = [ + { + id: 'a1', + name: 'To Kill a Mockingbird', + genre: 'historical', + description: `Compassionate, dramatic, and deeply moving, "To Kill A Mockingbird" takes readers to the roots of human behavior - to innocence and experience, kindness and cruelty, love and hatred, humor and pathos. Now with over 18 million copies in print and translated into forty languages, this regional story by a young Alabama woman claims universal appeal. Harper Lee always considered her book to be a simple love story. Today it is regarded as a masterpiece of American literature.`, + }, + { + id: 'a2', + name: 'All the Light We Cannot See', + genre: 'historical', + description: `In a mining town in Germany, Werner Pfennig, an orphan, grows up with his younger sister, enchanted by a crude radio they find that brings them news and stories from places they have never seen or imagined. Werner becomes an expert at building and fixing these crucial new instruments and is enlisted to use his talent to track down the resistance. Deftly interweaving the lives of Marie-Laure and Werner, Doerr illuminates the ways, against all odds, people try to be good to one another.`, + }, + { + id: 'a3', + name: 'Where the Crawdads Sing', + genre: 'historical', + description: `For years, rumors of the “Marsh Girl” haunted Barkley Cove, a quiet fishing village. Kya Clark is barefoot and wild; unfit for polite society. So in late 1969, when the popular Chase Andrews is found dead, locals immediately suspect her. + +But Kya is not what they say. A born naturalist with just one day of school, she takes life's lessons from the land, learning the real ways of the world from the dishonest signals of fireflies. But while she has the skills to live in solitude forever, the time comes when she yearns to be touched and loved. Drawn to two young men from town, who are each intrigued by her wild beauty, Kya opens herself to a new and startling world—until the unthinkable happens.`, + }, +]; + +async function list(genre: string) { + return db.filter((item) => item.genre === genre).map((item) => ({ name: item.name, id: item.id })); +} + +async function search(name: string) { + return db.filter((item) => item.name.includes(name)).map((item) => ({ name: item.name, id: item.id })); +} + +async function get(id: string) { + return db.find((item) => item.id === id)!; +} + +main(); diff --git a/examples/function-call-stream.ts b/examples/function-call-stream.ts new file mode 100755 index 000000000..be4688aa7 --- /dev/null +++ b/examples/function-call-stream.ts @@ -0,0 +1,185 @@ +#!/usr/bin/env -S npm run tsn -T + +import util from 'util'; +import OpenAI from 'openai'; +import { + ChatCompletionMessage, + ChatCompletionChunk, + ChatCompletionMessageParam, +} from 'openai/resources/chat'; + +// gets API Key from environment variable OPENAI_API_KEY +const openai = new OpenAI(); + +const functions: OpenAI.Chat.ChatCompletionCreateParams.Function[] = [ + { + name: 'list', + description: 'list queries books by genre, and returns a list of names of books', + parameters: { + type: 'object', + properties: { + genre: { type: 'string', enum: ['mystery', 'nonfiction', 'memoir', 'romance', 'historical'] }, + }, + }, + }, + { + name: 'search', + description: 'search queries books by their name and returns a list of book names and their ids', + parameters: { + type: 'object', + properties: { + name: { type: 'string' }, + }, + }, + }, + { + name: 'get', + description: + "get returns a book's detailed information based on the id of the book. Note that this does not accept names, and only IDs, which you can get by using search.", + parameters: { + type: 'object', + properties: { + id: { type: 'string' }, + }, + }, + }, +]; + +async function callFunction(function_call: ChatCompletionMessage.FunctionCall): Promise { + const args = JSON.parse(function_call.arguments!); + switch (function_call.name) { + case 'list': + return await list(args['genre']); + + case 'search': + return await search(args['name']); + + case 'get': + return await get(args['id']); + + default: + throw new Error('No function found'); + } +} + +async function main() { + const messages: ChatCompletionMessageParam[] = [ + { + role: 'system', + content: + 'Please use our book database, which you can access using functions to answer the following questions.', + }, + { + role: 'user', + content: + 'I really enjoyed reading To Kill a Mockingbird, could you recommend me a book that is similar and tell me why?', + }, + ]; + console.log(messages[0]); + console.log(messages[1]); + console.log(); + + while (true) { + const stream = await openai.chat.completions.create({ + model: 'gpt-3.5-turbo', + messages, + functions: functions, + stream: true, + }); + + // Since the stream returns chunks, we need to build up the ChatCompletionMessage object. + // We implement this logic in messageReducer, which coalesces deltas into the message. + // `lineRewriter()` allows us to rewrite the last output with new text, which is one + // way of forwarding the streamed output to a visual interface. + let writeLine = lineRewriter(); + let message = {} as ChatCompletionMessage; + for await (const chunk of stream) { + message = messageReducer(message, chunk); + writeLine(message); + } + console.log(); + messages.push(message); + + // If there is no function call, we're done and can exit this loop + if (!message.function_call) { + return; + } + + // If there is a function call, we generate a new message with the role 'function'. + const result = await callFunction(message.function_call); + const newMessage = { + role: 'function' as const, + name: message.function_call.name!, + content: JSON.stringify(result), + }; + messages.push(newMessage); + + console.log(newMessage); + console.log(); + } +} + +function messageReducer(previous: ChatCompletionMessage, item: ChatCompletionChunk): ChatCompletionMessage { + const reduce = (acc: any, delta: any) => { + acc = { ...acc }; + for (const [key, value] of Object.entries(delta)) { + if (acc[key] === undefined || acc[key] === null) { + acc[key] = value; + } else if (typeof acc[key] === 'string' && typeof value === 'string') { + (acc[key] as string) += value; + } else if (typeof acc[key] === 'object' && !Array.isArray(acc[key])) { + acc[key] = reduce(acc[key], value); + } + } + return acc; + }; + + return reduce(previous, item.choices[0]!.delta) as ChatCompletionMessage; +} + +function lineRewriter() { + let lastMessageLength = 0; + return function write(value: any) { + process.stdout.cursorTo(0); + process.stdout.moveCursor(0, -Math.floor((lastMessageLength - 1) / process.stdout.columns)); + lastMessageLength = util.formatWithOptions({ colors: false, breakLength: Infinity }, value).length; + process.stdout.write(util.formatWithOptions({ colors: true, breakLength: Infinity }, value)); + }; +} + +const db = [ + { + id: 'a1', + name: 'To Kill a Mockingbird', + genre: 'historical', + description: `Compassionate, dramatic, and deeply moving, "To Kill A Mockingbird" takes readers to the roots of human behavior - to innocence and experience, kindness and cruelty, love and hatred, humor and pathos. Now with over 18 million copies in print and translated into forty languages, this regional story by a young Alabama woman claims universal appeal. Harper Lee always considered her book to be a simple love story. Today it is regarded as a masterpiece of American literature.`, + }, + { + id: 'a2', + name: 'All the Light We Cannot See', + genre: 'historical', + description: `In a mining town in Germany, Werner Pfennig, an orphan, grows up with his younger sister, enchanted by a crude radio they find that brings them news and stories from places they have never seen or imagined. Werner becomes an expert at building and fixing these crucial new instruments and is enlisted to use his talent to track down the resistance. Deftly interweaving the lives of Marie-Laure and Werner, Doerr illuminates the ways, against all odds, people try to be good to one another.`, + }, + { + id: 'a3', + name: 'Where the Crawdads Sing', + genre: 'historical', + description: `For years, rumors of the “Marsh Girl” haunted Barkley Cove, a quiet fishing village. Kya Clark is barefoot and wild; unfit for polite society. So in late 1969, when the popular Chase Andrews is found dead, locals immediately suspect her. + +But Kya is not what they say. A born naturalist with just one day of school, she takes life's lessons from the land, learning the real ways of the world from the dishonest signals of fireflies. But while she has the skills to live in solitude forever, the time comes when she yearns to be touched and loved. Drawn to two young men from town, who are each intrigued by her wild beauty, Kya opens herself to a new and startling world—until the unthinkable happens.`, + }, +]; + +async function list(genre: string) { + return db.filter((item) => item.genre === genre).map((item) => ({ name: item.name, id: item.id })); +} + +async function search(name: string) { + return db.filter((item) => item.name.includes(name)).map((item) => ({ name: item.name, id: item.id })); +} + +async function get(id: string) { + return db.find((item) => item.id === id)!; +} + +main(); diff --git a/examples/function-call.ts b/examples/function-call.ts new file mode 100755 index 000000000..ce12431b0 --- /dev/null +++ b/examples/function-call.ts @@ -0,0 +1,142 @@ +#!/usr/bin/env -S npm run tsn -T + +import OpenAI from 'openai'; +import { ChatCompletionMessage, ChatCompletionMessageParam } from 'openai/resources/chat'; + +// gets API Key from environment variable OPENAI_API_KEY +const openai = new OpenAI(); + +const functions: OpenAI.Chat.ChatCompletionCreateParams.Function[] = [ + { + name: 'list', + description: 'list queries books by genre, and returns a list of names of books', + parameters: { + type: 'object', + properties: { + genre: { type: 'string', enum: ['mystery', 'nonfiction', 'memoir', 'romance', 'historical'] }, + }, + }, + }, + { + name: 'search', + description: 'search queries books by their name and returns a list of book names and their ids', + parameters: { + type: 'object', + properties: { + name: { type: 'string' }, + }, + }, + }, + { + name: 'get', + description: + "get returns a book's detailed information based on the id of the book. Note that this does not accept names, and only IDs, which you can get by using search.", + parameters: { + type: 'object', + properties: { + id: { type: 'string' }, + }, + }, + }, +]; + +async function callFunction(function_call: ChatCompletionMessage.FunctionCall): Promise { + const args = JSON.parse(function_call.arguments!); + switch (function_call.name) { + case 'list': + return await list(args['genre']); + + case 'search': + return await search(args['name']); + + case 'get': + return await get(args['id']); + + default: + throw new Error('No function found'); + } +} + +async function main() { + const messages: ChatCompletionMessageParam[] = [ + { + role: 'system', + content: + 'Please use our book database, which you can access using functions to answer the following questions.', + }, + { + role: 'user', + content: + 'I really enjoyed reading To Kill a Mockingbird, could you recommend me a book that is similar and tell me why?', + }, + ]; + console.log(messages[0]); + console.log(messages[1]); + console.log(); + + while (true) { + const completion = await openai.chat.completions.create({ + model: 'gpt-3.5-turbo', + messages, + functions: functions, + }); + + const message = completion.choices[0]!.message; + messages.push(message); + console.log(message); + + // If there is no function call, we're done and can exit this loop + if (!message.function_call) { + return; + } + + // If there is a function call, we generate a new message with the role 'function'. + const result = await callFunction(message.function_call); + const newMessage = { + role: 'function' as const, + name: message.function_call.name!, + content: JSON.stringify(result), + }; + messages.push(newMessage); + + console.log(newMessage); + console.log(); + } +} + +const db = [ + { + id: 'a1', + name: 'To Kill a Mockingbird', + genre: 'historical', + description: `Compassionate, dramatic, and deeply moving, "To Kill A Mockingbird" takes readers to the roots of human behavior - to innocence and experience, kindness and cruelty, love and hatred, humor and pathos. Now with over 18 million copies in print and translated into forty languages, this regional story by a young Alabama woman claims universal appeal. Harper Lee always considered her book to be a simple love story. Today it is regarded as a masterpiece of American literature.`, + }, + { + id: 'a2', + name: 'All the Light We Cannot See', + genre: 'historical', + description: `In a mining town in Germany, Werner Pfennig, an orphan, grows up with his younger sister, enchanted by a crude radio they find that brings them news and stories from places they have never seen or imagined. Werner becomes an expert at building and fixing these crucial new instruments and is enlisted to use his talent to track down the resistance. Deftly interweaving the lives of Marie-Laure and Werner, Doerr illuminates the ways, against all odds, people try to be good to one another.`, + }, + { + id: 'a3', + name: 'Where the Crawdads Sing', + genre: 'historical', + description: `For years, rumors of the “Marsh Girl” haunted Barkley Cove, a quiet fishing village. Kya Clark is barefoot and wild; unfit for polite society. So in late 1969, when the popular Chase Andrews is found dead, locals immediately suspect her. + +But Kya is not what they say. A born naturalist with just one day of school, she takes life's lessons from the land, learning the real ways of the world from the dishonest signals of fireflies. But while she has the skills to live in solitude forever, the time comes when she yearns to be touched and loved. Drawn to two young men from town, who are each intrigued by her wild beauty, Kya opens herself to a new and startling world—until the unthinkable happens.`, + }, +]; + +async function list(genre: string) { + return db.filter((item) => item.genre === genre).map((item) => ({ name: item.name, id: item.id })); +} + +async function search(name: string) { + return db.filter((item) => item.name.includes(name)).map((item) => ({ name: item.name, id: item.id })); +} + +async function get(id: string) { + return db.find((item) => item.id === id)!; +} + +main(); diff --git a/examples/logprobs.ts b/examples/logprobs.ts new file mode 100755 index 000000000..8cf274a14 --- /dev/null +++ b/examples/logprobs.ts @@ -0,0 +1,23 @@ +#!/usr/bin/env -S npm run tsn -T + +import OpenAI from 'openai'; + +// gets API Key from environment variable OPENAI_API_KEY +const openai = new OpenAI(); + +async function main() { + const stream = await openai.beta.chat.completions + .stream({ + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test' }], + stream: true, + logprobs: true, + }) + .on('logprobs.content.delta', (logprob) => { + console.log(logprob); + }); + + console.dir(await stream.finalChatCompletion(), { depth: null }); +} + +main(); diff --git a/examples/package-lock.json b/examples/package-lock.json new file mode 100644 index 000000000..6feb8c5f4 --- /dev/null +++ b/examples/package-lock.json @@ -0,0 +1,2007 @@ +{ + "name": "openai-examples", + "version": "1.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "openai-examples", + "version": "1.0.0", + "license": "MIT", + "dependencies": { + "@azure/identity": "^4.2.0", + "dotenv": "^16.4.7", + "express": "^4.18.2", + "next": "^14.2.25", + "openai": "file:..", + "zod-to-json-schema": "^3.21.4" + }, + "devDependencies": { + "@types/body-parser": "^1.19.3", + "@types/express": "^4.17.19", + "@types/web": "^0.0.194" + } + }, + "..": { + "name": "openai", + "version": "4.89.0", + "license": 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+ } +} diff --git a/examples/parsing-run-tools.ts b/examples/parsing-run-tools.ts new file mode 100644 index 000000000..a3c544c3d --- /dev/null +++ b/examples/parsing-run-tools.ts @@ -0,0 +1,153 @@ +import OpenAI from 'openai'; +import z from 'zod'; +import { zodFunction } from 'openai/helpers/zod'; + +const Table = z.enum(['orders', 'customers', 'products']); +const Column = z.enum([ + 'id', + 'status', + 'expected_delivery_date', + 'delivered_at', + 'shipped_at', + 'ordered_at', + 'canceled_at', +]); +const Operator = z.enum(['=', '>', '<', '<=', '>=', '!=']); +const OrderBy = z.enum(['asc', 'desc']); + +const DynamicValue = z.object({ + column_name: z.string(), +}); + +const Condition = z.object({ + column: z.string(), + operator: Operator, + value: z.union([z.string(), z.number(), DynamicValue]), +}); + +const openai = new OpenAI(); + +async function main() { + const runner = openai.beta.chat.completions + .runTools({ + model: 'gpt-4o-2024-08-06', + messages: [{ role: 'user', content: `What are the last 10 orders?` }], + stream: true, + tools: [ + zodFunction({ + name: 'query', + function: (args) => { + return { table_name: args.table_name, data: fakeOrders }; + }, + parameters: z.object({ + location: z.string(), + table_name: Table, + columns: z.array(Column), + conditions: z.array(Condition), + order_by: OrderBy, + }), + }), + ], + }) + .on('tool_calls.function.arguments.done', (props) => + console.log(`parsed function arguments: ${props.parsed_arguments}`), + ); + + await runner.done(); + + console.dir(runner.messages, { depth: 10 }); +} + +const fakeOrders = [ + { + orderId: 'ORD-001', + customerName: 'Alice Johnson', + products: [{ name: 'Wireless Headphones', quantity: 1, price: 89.99 }], + totalPrice: 89.99, + orderDate: '2024-08-02', + }, + { + orderId: 'ORD-002', + customerName: 'Bob Smith', + products: [ + { name: 'Smartphone Case', quantity: 2, price: 19.99 }, + { name: 'Screen Protector', quantity: 1, price: 9.99 }, + ], + totalPrice: 49.97, + orderDate: '2024-08-03', + }, + { + orderId: 'ORD-003', + customerName: 'Carol Davis', + products: [ + { name: 'Laptop', quantity: 1, price: 999.99 }, + { name: 'Mouse', quantity: 1, price: 29.99 }, + ], + totalPrice: 1029.98, + orderDate: '2024-08-04', + }, + { + orderId: 'ORD-004', + customerName: 'David Wilson', + products: [{ name: 'Coffee Maker', quantity: 1, price: 79.99 }], + totalPrice: 79.99, + orderDate: '2024-08-05', + }, + { + orderId: 'ORD-005', + customerName: 'Eva Brown', + products: [ + { name: 'Fitness Tracker', quantity: 1, price: 129.99 }, + { name: 'Water Bottle', quantity: 2, price: 14.99 }, + ], + totalPrice: 159.97, + orderDate: '2024-08-06', + }, + { + orderId: 'ORD-006', + customerName: 'Frank Miller', + products: [ + { name: 'Gaming Console', quantity: 1, price: 499.99 }, + { name: 'Controller', quantity: 2, price: 59.99 }, + ], + totalPrice: 619.97, + orderDate: '2024-08-07', + }, + { + orderId: 'ORD-007', + customerName: 'Grace Lee', + products: [{ name: 'Bluetooth Speaker', quantity: 1, price: 69.99 }], + totalPrice: 69.99, + orderDate: '2024-08-08', + }, + { + orderId: 'ORD-008', + customerName: 'Henry Taylor', + products: [ + { name: 'Smartwatch', quantity: 1, price: 199.99 }, + { name: 'Watch Band', quantity: 2, price: 24.99 }, + ], + totalPrice: 249.97, + orderDate: '2024-08-09', + }, + { + orderId: 'ORD-009', + customerName: 'Isla Garcia', + products: [ + { name: 'Tablet', quantity: 1, price: 349.99 }, + { name: 'Tablet Case', quantity: 1, price: 29.99 }, + { name: 'Stylus', quantity: 1, price: 39.99 }, + ], + totalPrice: 419.97, + orderDate: '2024-08-10', + }, + { + orderId: 'ORD-010', + customerName: 'Jack Robinson', + products: [{ name: 'Wireless Charger', quantity: 2, price: 34.99 }], + totalPrice: 69.98, + orderDate: '2024-08-11', + }, +]; + +main(); diff --git a/examples/parsing-stream.ts b/examples/parsing-stream.ts new file mode 100644 index 000000000..d9eda0a4b --- /dev/null +++ b/examples/parsing-stream.ts @@ -0,0 +1,57 @@ +import { zodResponseFormat } from 'openai/helpers/zod'; +import OpenAI from 'openai/index'; +import { z } from 'zod'; + +const Step = z.object({ + explanation: z.string(), + output: z.string(), +}); + +const MathResponse = z.object({ + steps: z.array(Step), + final_answer: z.string(), +}); + +async function main() { + const client = new OpenAI(); + + const stream = client.beta.chat.completions + .stream({ + model: 'gpt-4o-2024-08-06', + messages: [ + { + role: 'user', + content: `What's the weather like in SF?`, + }, + ], + response_format: zodResponseFormat(MathResponse, 'math_response'), + }) + .on('refusal.delta', ({ delta }) => { + process.stdout.write(delta); + }) + .on('refusal.done', () => console.log('\n\nrequest refused 😱')) + .on('content.delta', ({ snapshot, parsed }) => { + console.log('content:', snapshot); + console.log('parsed:', parsed); + console.log(); + }) + .on('content.done', (props) => { + if (props.parsed) { + console.log('\n\nfinished parsing!'); + console.log(`answer: ${props.parsed.final_answer}`); + } + }); + + await stream.done(); + + const completion = await stream.finalChatCompletion(); + + console.dir(completion, { depth: 5 }); + + const message = completion.choices[0]?.message; + if (message?.parsed) { + console.log(message.parsed.steps); + } +} + +main(); diff --git a/examples/parsing-tools-stream.ts b/examples/parsing-tools-stream.ts new file mode 100644 index 000000000..c527abd00 --- /dev/null +++ b/examples/parsing-tools-stream.ts @@ -0,0 +1,43 @@ +import { zodFunction } from 'openai/helpers/zod'; +import OpenAI from 'openai/index'; +import { z } from 'zod'; + +const GetWeatherArgs = z.object({ + city: z.string(), + country: z.string(), + units: z.enum(['c', 'f']).default('c'), +}); + +async function main() { + const client = new OpenAI(); + const refusal = process.argv.includes('refusal'); + + const stream = client.beta.chat.completions + .stream({ + model: 'gpt-4o-2024-08-06', + messages: [ + { + role: 'user', + content: refusal ? 'How do I make anthrax?' : `What's the weather like in SF?`, + }, + ], + tools: [zodFunction({ name: 'get_weather', parameters: GetWeatherArgs })], + }) + .on('tool_calls.function.arguments.delta', (props) => + console.log('tool_calls.function.arguments.delta', props), + ) + .on('tool_calls.function.arguments.done', (props) => + console.log('tool_calls.function.arguments.done', props), + ) + .on('refusal.delta', ({ delta }) => { + process.stdout.write(delta); + }) + .on('refusal.done', () => console.log('\n\nrequest refused 😱')); + + const completion = await stream.finalChatCompletion(); + + console.log('final completion:'); + console.dir(completion, { depth: 10 }); +} + +main(); diff --git a/examples/parsing-tools.ts b/examples/parsing-tools.ts new file mode 100644 index 000000000..8eaea3807 --- /dev/null +++ b/examples/parsing-tools.ts @@ -0,0 +1,67 @@ +import { zodFunction } from 'openai/helpers/zod'; +import OpenAI from 'openai/index'; +import { z } from 'zod'; + +const Table = z.enum(['orders', 'customers', 'products']); + +const Column = z.enum([ + 'id', + 'status', + 'expected_delivery_date', + 'delivered_at', + 'shipped_at', + 'ordered_at', + 'canceled_at', +]); + +const Operator = z.enum(['=', '>', '<', '<=', '>=', '!=']); + +const OrderBy = z.enum(['asc', 'desc']); + +const DynamicValue = z.object({ + column_name: z.string(), +}); + +const Condition = z.object({ + column: z.string(), + operator: Operator, + value: z.union([z.string(), z.number(), DynamicValue]), +}); + +const Query = z.object({ + table_name: Table, + columns: z.array(Column), + conditions: z.array(Condition), + order_by: OrderBy, +}); + +async function main() { + const client = new OpenAI(); + + const completion = await client.beta.chat.completions.parse({ + model: 'gpt-4o-2024-08-06', + messages: [ + { + role: 'system', + content: + 'You are a helpful assistant. The current date is August 6, 2024. You help users query for the data they are looking for by calling the query function.', + }, + { + role: 'user', + content: + 'look up all my orders in november of last year that were fulfilled but not delivered on time', + }, + ], + tools: [zodFunction({ name: 'query', parameters: Query })], + }); + console.dir(completion, { depth: 10 }); + + const toolCall = completion.choices[0]?.message.tool_calls?.[0]; + if (toolCall) { + const args = toolCall.function.parsed_arguments as z.infer; + console.log(args); + console.log(args.table_name); + } +} + +main(); diff --git a/examples/parsing.ts b/examples/parsing.ts new file mode 100644 index 000000000..d92cc2720 --- /dev/null +++ b/examples/parsing.ts @@ -0,0 +1,36 @@ +import { zodResponseFormat } from 'openai/helpers/zod'; +import OpenAI from 'openai/index'; +import { z } from 'zod'; + +const Step = z.object({ + explanation: z.string(), + output: z.string(), +}); + +const MathResponse = z.object({ + steps: z.array(Step), + final_answer: z.string(), +}); + +async function main() { + const client = new OpenAI(); + + const completion = await client.beta.chat.completions.parse({ + model: 'gpt-4o-2024-08-06', + messages: [ + { role: 'system', content: 'You are a helpful math tutor.' }, + { role: 'user', content: 'solve 8x + 31 = 2' }, + ], + response_format: zodResponseFormat(MathResponse, 'math_response'), + }); + + console.dir(completion, { depth: 5 }); + + const message = completion.choices[0]?.message; + if (message?.parsed) { + console.log(message.parsed.steps); + console.log(`answer: ${message.parsed.final_answer}`); + } +} + +main(); diff --git a/examples/raw-response.ts b/examples/raw-response.ts new file mode 100644 index 000000000..eb991ae78 --- /dev/null +++ b/examples/raw-response.ts @@ -0,0 +1,34 @@ +#!/usr/bin/env -S yarn tsn -T + +import OpenAI from 'openai'; + +// gets API Key from environment variable OPENAI_API_KEY +const client = new OpenAI(); + +async function main() { + // getting just raw Response: + { + const response = await client.completions + .create({ + prompt: 'Say this is a test', + model: 'gpt-3.5-turbo-instruct', + }) + .asResponse(); + console.log(`response headers: `, Object.fromEntries(response.headers.entries())); + console.log(`response json: `, await response.json()); + } + + // getting the usual return value plus raw Response: + { + const { data: completion, response } = await client.completions + .create({ + prompt: 'Say this is a test', + model: 'gpt-3.5-turbo-instruct', + }) + .withResponse(); + console.log(`response headers: `, Object.fromEntries(response.headers.entries())); + console.log(`completion: `, completion); + } +} + +main().catch(console.error); diff --git a/examples/realtime/websocket.ts b/examples/realtime/websocket.ts new file mode 100644 index 000000000..6fb4740af --- /dev/null +++ b/examples/realtime/websocket.ts @@ -0,0 +1,48 @@ +import { OpenAIRealtimeWebSocket } from 'openai/beta/realtime/websocket'; + +async function main() { + const rt = new OpenAIRealtimeWebSocket({ model: 'gpt-4o-realtime-preview-2024-12-17' }); + + // access the underlying `ws.WebSocket` instance + rt.socket.addEventListener('open', () => { + console.log('Connection opened!'); + rt.send({ + type: 'session.update', + session: { + modalities: ['text'], + model: 'gpt-4o-realtime-preview', + }, + }); + + rt.send({ + type: 'conversation.item.create', + item: { + type: 'message', + role: 'user', + content: [{ type: 'input_text', text: 'Say a couple paragraphs!' }], + }, + }); + + rt.send({ type: 'response.create' }); + }); + + rt.on('error', (err) => { + // in a real world scenario this should be logged somewhere as you + // likely want to continue processing events regardless of any errors + throw err; + }); + + rt.on('session.created', (event) => { + console.log('session created!', event.session); + console.log(); + }); + + rt.on('response.text.delta', (event) => process.stdout.write(event.delta)); + rt.on('response.text.done', () => console.log()); + + rt.on('response.done', () => rt.close()); + + rt.socket.addEventListener('close', () => console.log('\nConnection closed!')); +} + +main(); diff --git a/examples/realtime/ws.ts b/examples/realtime/ws.ts new file mode 100644 index 000000000..6cc950b76 --- /dev/null +++ b/examples/realtime/ws.ts @@ -0,0 +1,48 @@ +import { OpenAIRealtimeWS } from 'openai/beta/realtime/ws'; + +async function main() { + const rt = new OpenAIRealtimeWS({ model: 'gpt-4o-realtime-preview-2024-12-17' }); + + // access the underlying `ws.WebSocket` instance + rt.socket.on('open', () => { + console.log('Connection opened!'); + rt.send({ + type: 'session.update', + session: { + modalities: ['text'], + model: 'gpt-4o-realtime-preview', + }, + }); + + rt.send({ + type: 'conversation.item.create', + item: { + type: 'message', + role: 'user', + content: [{ type: 'input_text', text: 'Say a couple paragraphs!' }], + }, + }); + + rt.send({ type: 'response.create' }); + }); + + rt.on('error', (err) => { + // in a real world scenario this should be logged somewhere as you + // likely want to continue processing events regardless of any errors + throw err; + }); + + rt.on('session.created', (event) => { + console.log('session created!', event.session); + console.log(); + }); + + rt.on('response.text.delta', (event) => process.stdout.write(event.delta)); + rt.on('response.text.done', () => console.log()); + + rt.on('response.done', () => rt.close()); + + rt.socket.on('close', () => console.log('\nConnection closed!')); +} + +main(); diff --git a/examples/responses/stream.ts b/examples/responses/stream.ts new file mode 100755 index 000000000..ea3d0849e --- /dev/null +++ b/examples/responses/stream.ts @@ -0,0 +1,24 @@ +#!/usr/bin/env -S npm run tsn -T + +import OpenAI from 'openai'; + +const openai = new OpenAI(); + +async function main() { + const runner = openai.responses + .stream({ + model: 'gpt-4o-2024-08-06', + input: 'solve 8x + 31 = 2', + }) + .on('event', (event) => console.log(event)) + .on('response.output_text.delta', (diff) => process.stdout.write(diff.delta)); + + for await (const event of runner) { + console.log('event', event); + } + + const result = await runner.finalResponse(); + console.log(result); +} + +main(); diff --git a/examples/responses/streaming-tools.ts b/examples/responses/streaming-tools.ts new file mode 100755 index 000000000..87a48d0c3 --- /dev/null +++ b/examples/responses/streaming-tools.ts @@ -0,0 +1,52 @@ +#!/usr/bin/env -S npm run tsn -T + +import { OpenAI } from 'openai'; +import { zodResponsesFunction } from 'openai/helpers/zod'; +import { z } from 'zod'; + +const Table = z.enum(['orders', 'customers', 'products']); +const Column = z.enum([ + 'id', + 'status', + 'expected_delivery_date', + 'delivered_at', + 'shipped_at', + 'ordered_at', + 'canceled_at', +]); +const Operator = z.enum(['=', '>', '<', '<=', '>=', '!=']); +const OrderBy = z.enum(['asc', 'desc']); +const DynamicValue = z.object({ + column_name: Column, +}); + +const Condition = z.object({ + column: Column, + operator: Operator, + value: z.union([z.string(), z.number(), DynamicValue]), +}); + +const Query = z.object({ + table_name: Table, + columns: z.array(Column), + conditions: z.array(Condition), + order_by: OrderBy, +}); + +async function main() { + const client = new OpenAI(); + + const tool = zodResponsesFunction({ name: 'query', parameters: Query }); + + const stream = client.responses.stream({ + model: 'gpt-4o-2024-08-06', + input: 'look up all my orders in november of last year that were fulfilled but not delivered on time', + tools: [tool], + }); + + for await (const event of stream) { + console.dir(event, { depth: 10 }); + } +} + +main(); diff --git a/examples/responses/structured-outputs-tools.ts b/examples/responses/structured-outputs-tools.ts new file mode 100755 index 000000000..29eaabf93 --- /dev/null +++ b/examples/responses/structured-outputs-tools.ts @@ -0,0 +1,60 @@ +#!/usr/bin/env -S npm run tsn -T + +import { OpenAI } from 'openai'; +import { zodResponsesFunction } from 'openai/helpers/zod'; +import { z } from 'zod'; + +const Table = z.enum(['orders', 'customers', 'products']); +const Column = z.enum([ + 'id', + 'status', + 'expected_delivery_date', + 'delivered_at', + 'shipped_at', + 'ordered_at', + 'canceled_at', +]); +const Operator = z.enum(['=', '>', '<', '<=', '>=', '!=']); +const OrderBy = z.enum(['asc', 'desc']); +const DynamicValue = z.object({ + column_name: Column, +}); + +const Condition = z.object({ + column: Column, + operator: Operator, + value: z.union([z.string(), z.number(), DynamicValue]), +}); + +const Query = z.object({ + table_name: Table, + columns: z.array(Column), + conditions: z.array(Condition), + order_by: OrderBy, +}); + +async function main() { + const client = new OpenAI(); + + const tool = zodResponsesFunction({ name: 'query', parameters: Query }); + + const rsp = await client.responses.parse({ + model: 'gpt-4o-2024-08-06', + input: 'look up all my orders in november of last year that were fulfilled but not delivered on time', + tools: [tool], + }); + + console.log(rsp); + + const functionCall = rsp.output[0]!; + + if (functionCall.type !== 'function_call') { + throw new Error('Expected function call'); + } + + const query = functionCall.parsed_arguments; + + console.log(query); +} + +main(); diff --git a/examples/responses/structured-outputs.ts b/examples/responses/structured-outputs.ts new file mode 100755 index 000000000..07ff93a60 --- /dev/null +++ b/examples/responses/structured-outputs.ts @@ -0,0 +1,32 @@ +#!/usr/bin/env -S npm run tsn -T + +import { OpenAI } from 'openai'; +import { zodTextFormat } from 'openai/helpers/zod'; +import { z } from 'zod'; + +const Step = z.object({ + explanation: z.string(), + output: z.string(), +}); + +const MathResponse = z.object({ + steps: z.array(Step), + final_answer: z.string(), +}); + +const client = new OpenAI(); + +async function main() { + const rsp = await client.responses.parse({ + input: 'solve 8x + 31 = 2', + model: 'gpt-4o-2024-08-06', + text: { + format: zodTextFormat(MathResponse, 'math_response'), + }, + }); + + console.log(rsp.output_parsed); + console.log('answer: ', rsp.output_parsed?.final_answer); +} + +main().catch(console.error); diff --git a/examples/speech-to-text.ts b/examples/speech-to-text.ts new file mode 100644 index 000000000..f2eb60b4d --- /dev/null +++ b/examples/speech-to-text.ts @@ -0,0 +1,19 @@ +import OpenAI from 'openai'; +import { recordAudio } from 'openai/helpers/audio'; + +const openai = new OpenAI(); + +async function main(): Promise { + console.log('Recording for 5 seconds...'); + const response = await recordAudio({ timeout: 5000, device: 4 }); + + console.log('Transcribing...'); + const transcription = await openai.audio.transcriptions.create({ + file: response, + model: 'whisper-1', + }); + + console.log(transcription.text); +} + +main().catch(console.error); diff --git a/examples/stream-to-client-browser.ts b/examples/stream-to-client-browser.ts new file mode 100755 index 000000000..4430ccc68 --- /dev/null +++ b/examples/stream-to-client-browser.ts @@ -0,0 +1,30 @@ +#!/usr/bin/env -S npm run tsn -T + +/** + * This file is intended be run from the command-line with Node + * for easy demo purposes, but simulating use in the browser. + * + * To run it in a browser application, copy/paste it into a frontend application, + * remove the 'node-fetch' import, and replace `process.stdout.write` with + * a console.log or UI display. + */ +import fetch from 'node-fetch'; +import { ChatCompletionStream } from 'openai/lib/ChatCompletionStream'; + +fetch('http://github.com/service/http://localhost:3000/', { + method: 'POST', + body: 'Tell me why dogs are better than cats', + headers: { 'Content-Type': 'text/plain' }, +}).then(async (res) => { + // @ts-ignore ReadableStream on different environments can be strange + const runner = ChatCompletionStream.fromReadableStream(res.body); + + runner.on('content', (delta, snapshot) => { + process.stdout.write(delta); + // or, in a browser, you might display like this: + // document.body.innerText += delta; // or: + // document.body.innerText = snapshot; + }); + + console.dir(await runner.finalChatCompletion(), { depth: null }); +}); diff --git a/examples/stream-to-client-express.ts b/examples/stream-to-client-express.ts new file mode 100755 index 000000000..f688f42e7 --- /dev/null +++ b/examples/stream-to-client-express.ts @@ -0,0 +1,52 @@ +#!/usr/bin/env -S npm run tsn -T + +// This file demonstrates how to stream from the server the chunks as +// a new-line separated JSON-encoded stream. + +import OpenAI from 'openai'; +import express, { Request, Response } from 'express'; + +const openai = new OpenAI(); +const app = express(); + +app.use(express.text()); + +// This endpoint can be called with: +// +// curl 127.0.0.1:3000 -N -X POST -H 'Content-Type: text/plain' \ +// --data 'Can you explain why dogs are better than cats?' +// +// Or consumed with fetch: +// +// fetch('http://github.com/service/http://localhost:3000/', { +// method: 'POST', +// body: 'Tell me why dogs are better than cats', +// }).then(async res => { +// const runner = ChatCompletionStreamingRunner.fromReadableStream(res) +// }) +// +// See examples/stream-to-client-browser.ts for a more complete example. +app.post('/', async (req: Request, res: Response) => { + try { + console.log('Received request:', req.body); + + const stream = openai.beta.chat.completions.stream({ + model: 'gpt-3.5-turbo', + stream: true, + messages: [{ role: 'user', content: req.body }], + }); + + res.header('Content-Type', 'text/plain'); + for await (const chunk of stream.toReadableStream()) { + res.write(chunk); + } + + res.end(); + } catch (e) { + console.error(e); + } +}); + +app.listen('3000', () => { + console.log('Started proxy express server'); +}); diff --git a/examples/stream-to-client-next.ts b/examples/stream-to-client-next.ts new file mode 100755 index 000000000..c5c1ff317 --- /dev/null +++ b/examples/stream-to-client-next.ts @@ -0,0 +1,38 @@ +import OpenAI from 'openai'; +import type { NextApiRequest, NextApiResponse } from 'next'; + +// This file demonstrates how to stream from a Next.JS server as +// a new-line separated JSON-encoded stream. This file cannot be run +// without Next.JS scaffolding. + +export const runtime = 'edge'; + +// This endpoint can be called with: +// +// curl 127.0.0.1:3000 -N -X POST -H 'Content-Type: text/plain' \ +// --data 'Can you explain why dogs are better than cats?' +// +// Or consumed with fetch: +// +// fetch('http://github.com/service/http://localhost:3000/', { +// method: 'POST', +// body: 'Tell me why dogs are better than cats', +// }).then(async res => { +// const runner = ChatCompletionStreamingRunner.fromReadableStream(res) +// }) +// +// See examples/stream-to-client-browser.ts for a more complete example. +export default async function handler(req: NextApiRequest, res: NextApiResponse) { + const openai = new OpenAI(); + + const stream = openai.beta.chat.completions.stream({ + model: 'gpt-3.5-turbo', + stream: true, + // @ts-ignore + messages: [{ role: 'user', content: await req.text() }], + }); + + return res.send(stream.toReadableStream()); + // @ts-ignore -- Or, for the app router: + return new Response(stream.toReadableStream()); +} diff --git a/examples/stream-to-client-raw.ts b/examples/stream-to-client-raw.ts new file mode 100755 index 000000000..4362f2dff --- /dev/null +++ b/examples/stream-to-client-raw.ts @@ -0,0 +1,57 @@ +#!/usr/bin/env -S npm run tsn -T + +// This file demonstrates how to stream from the server as a text/plain +// response with express and the stream async iterator. + +import OpenAI from 'openai'; +import express, { Request, Response } from 'express'; + +const openai = new OpenAI(); +const app = express(); + +app.use(express.text()); + +// This endpoint can be called with: +// +// curl 127.0.0.1:3000 -N -X POST -H 'Content-Type: text/plain' \ +// --data 'Can you explain why dogs are better than cats?' +// +// Or consumed with fetch: +// +// fetch('http://github.com/service/http://localhost:3000/', { +// method: 'POST', +// body: 'Tell me why dogs are better than cats', +// }).then(async res => { +// const decoder = new TextDecoder(); +// for await (const chunk of res.body) { +// console.log(`chunk: ${decoder.decode(chunk)}`); +// } +// }) +// +app.post('/', async (req: Request, res: Response) => { + try { + console.log('Received request:', req.body); + + const stream = await openai.chat.completions.create({ + model: 'gpt-3.5-turbo', + stream: true, + messages: [{ role: 'user', content: req.body }], + }); + + res.header('Content-Type', 'text/plain'); + + // Sends each content stream chunk-by-chunk, such that the client + // ultimately receives a single string. + for await (const chunk of stream) { + res.write(chunk.choices[0]?.delta.content || ''); + } + + res.end(); + } catch (e) { + console.error(e); + } +}); + +app.listen('3000', () => { + console.log('Started proxy express server'); +}); diff --git a/examples/stream.ts b/examples/stream.ts new file mode 100644 index 000000000..86dbde8b8 --- /dev/null +++ b/examples/stream.ts @@ -0,0 +1,24 @@ +#!/usr/bin/env -S npm run tsn -T + +import OpenAI from 'openai'; + +const openai = new OpenAI(); + +async function main() { + const runner = openai.beta.chat.completions + .stream({ + model: 'gpt-3.5-turbo', + messages: [{ role: 'user', content: 'Say this is a test' }], + }) + .on('message', (msg) => console.log(msg)) + .on('content', (diff) => process.stdout.write(diff)); + + for await (const chunk of runner) { + console.log('chunk', chunk); + } + + const result = await runner.finalChatCompletion(); + console.log(result); +} + +main(); diff --git a/examples/text-to-speech.ts b/examples/text-to-speech.ts new file mode 100644 index 000000000..5a87adf91 --- /dev/null +++ b/examples/text-to-speech.ts @@ -0,0 +1,23 @@ +import OpenAI from 'openai'; +import { playAudio } from 'openai/helpers/audio'; + +const openai = new OpenAI(); + +const exampleText = ` +I see skies of blue and clouds of white +The bright blessed days, the dark sacred nights +And I think to myself +What a wonderful world +`.trim(); + +async function main(): Promise { + const response = await openai.audio.speech.create({ + model: 'tts-1', + voice: 'nova', + input: exampleText, + }); + + await playAudio(response); +} + +main().catch(console.error); diff --git a/examples/tool-call-helpers-zod.ts b/examples/tool-call-helpers-zod.ts new file mode 100755 index 000000000..700f401a6 --- /dev/null +++ b/examples/tool-call-helpers-zod.ts @@ -0,0 +1,144 @@ +#!/usr/bin/env -S npm run tsn -T + +import OpenAI from 'openai'; +import { RunnableToolFunctionWithParse } from 'openai/lib/RunnableFunction'; +import { JSONSchema } from 'openai/lib/jsonschema'; +import { ZodSchema, z } from 'zod'; +import { zodToJsonSchema } from 'zod-to-json-schema'; + +// gets API Key from environment variable OPENAI_API_KEY +const openai = new OpenAI(); + +// Define your functions, alongside zod schemas. + +const ListParams = z.object({ + genre: z.enum(['mystery', 'nonfiction', 'memoir', 'romance', 'historical']), +}); +type ListParams = z.infer; +async function listBooks({ genre }: ListParams) { + return db.filter((item) => item.genre === genre).map((item) => ({ name: item.name, id: item.id })); +} + +const SearchParams = z.object({ + name: z.string(), +}); +type SearchParams = z.infer; +async function searchBooks({ name }: SearchParams) { + return db.filter((item) => item.name.includes(name)).map((item) => ({ name: item.name, id: item.id })); +} + +const GetParams = z.object({ + id: z.string(), +}); +type GetParams = z.infer; +async function getBook({ id }: GetParams) { + return db.find((item) => item.id === id)!; +} + +async function main() { + const runner = openai.beta.chat.completions + .runTools({ + model: 'gpt-4-1106-preview', + stream: true, + tools: [ + zodFunction({ + function: listBooks, + schema: ListParams, + description: 'List queries books by genre, and returns a list of names of books', + }), + zodFunction({ + function: searchBooks, + schema: SearchParams, + description: 'Search queries books by their name and returns a list of book names and their ids', + }), + zodFunction({ + function: getBook, + schema: GetParams, + description: + "Get returns a book's detailed information based on the id of the book. Note that this does not accept names, and only IDs, which you can get by using search.", + }), + ], + messages: [ + { + role: 'system', + content: + 'Please use our book database, which you can access using functions to answer the following questions.', + }, + { + role: 'user', + content: + 'I really enjoyed reading To Kill a Mockingbird, could you recommend me a book that is similar and tell me why?', + }, + ], + }) + .on('message', (msg) => console.log('msg', msg)) + .on('functionCall', (functionCall) => console.log('functionCall', functionCall)) + .on('functionCallResult', (functionCallResult) => console.log('functionCallResult', functionCallResult)) + .on('content', (diff) => process.stdout.write(diff)); + + const result = await runner.finalChatCompletion(); + console.log(); + console.log('messages'); + console.log(runner.messages); + + console.log(); + console.log('final chat completion'); + console.dir(result, { depth: null }); +} + +const db = [ + { + id: 'a1', + name: 'To Kill a Mockingbird', + genre: 'historical', + description: `Compassionate, dramatic, and deeply moving, "To Kill A Mockingbird" takes readers to the roots of human behavior - to innocence and experience, kindness and cruelty, love and hatred, humor and pathos. Now with over 18 million copies in print and translated into forty languages, this regional story by a young Alabama woman claims universal appeal. Harper Lee always considered her book to be a simple love story. Today it is regarded as a masterpiece of American literature.`, + }, + { + id: 'a2', + name: 'All the Light We Cannot See', + genre: 'historical', + description: `In a mining town in Germany, Werner Pfennig, an orphan, grows up with his younger sister, enchanted by a crude radio they find that brings them news and stories from places they have never seen or imagined. Werner becomes an expert at building and fixing these crucial new instruments and is enlisted to use his talent to track down the resistance. Deftly interweaving the lives of Marie-Laure and Werner, Doerr illuminates the ways, against all odds, people try to be good to one another.`, + }, + { + id: 'a3', + name: 'Where the Crawdads Sing', + genre: 'historical', + description: `For years, rumors of the “Marsh Girl” haunted Barkley Cove, a quiet fishing village. Kya Clark is barefoot and wild; unfit for polite society. So in late 1969, when the popular Chase Andrews is found dead, locals immediately suspect her. +But Kya is not what they say. A born naturalist with just one day of school, she takes life's lessons from the land, learning the real ways of the world from the dishonest signals of fireflies. But while she has the skills to live in solitude forever, the time comes when she yearns to be touched and loved. Drawn to two young men from town, who are each intrigued by her wild beauty, Kya opens herself to a new and startling world—until the unthinkable happens.`, + }, +]; + +/** + * A generic utility function that returns a RunnableFunction + * you can pass to `.runTools()`, + * with a fully validated, typesafe parameters schema. + * + * You are encouraged to copy/paste this into your codebase! + */ +function zodFunction({ + function: fn, + schema, + description = '', + name, +}: { + function: (args: T) => Promise; + schema: ZodSchema; + description?: string; + name?: string; +}): RunnableToolFunctionWithParse { + return { + type: 'function', + function: { + function: fn, + name: name ?? fn.name, + description: description, + parameters: zodToJsonSchema(schema) as JSONSchema, + parse(input: string): T { + const obj = JSON.parse(input); + return schema.parse(obj); + }, + }, + }; +} + +main(); diff --git a/examples/tool-call-helpers.ts b/examples/tool-call-helpers.ts new file mode 100755 index 000000000..21b86f8fb --- /dev/null +++ b/examples/tool-call-helpers.ts @@ -0,0 +1,133 @@ +#!/usr/bin/env -S npm run tsn -T + +import OpenAI from 'openai'; +import { RunnableToolFunction } from 'openai/lib/RunnableFunction'; + +// gets API Key from environment variable OPENAI_API_KEY +const openai = new OpenAI(); + +/** + * Note, this will automatically ensure the model returns valid JSON, + * but won't ensure it conforms to your schema. + * + * For that functionality, please see the `tool-call-helpers-zod.ts` example, + * which shows a fully typesafe, schema-validating version. + */ +const tools: RunnableToolFunction[] = [ + { + type: 'function', + function: { + name: 'list', + description: 'list queries books by genre, and returns a list of names of books', + parameters: { + type: 'object', + properties: { + genre: { type: 'string', enum: ['mystery', 'nonfiction', 'memoir', 'romance', 'historical'] }, + }, + }, + function: list, + parse: JSON.parse, + }, + } as RunnableToolFunction<{ genre: string }>, + { + type: 'function', + function: { + name: 'search', + description: 'search queries books by their name and returns a list of book names and their ids', + parameters: { + type: 'object', + properties: { + name: { type: 'string' }, + }, + }, + function: search, + parse: JSON.parse, + }, + } as RunnableToolFunction<{ name: string }>, + { + type: 'function', + function: { + name: 'get', + description: + "get returns a book's detailed information based on the id of the book. Note that this does not accept names, and only IDs, which you can get by using search.", + parameters: { + type: 'object', + properties: { + id: { type: 'string' }, + }, + }, + function: get, + parse: JSON.parse, + }, + } as RunnableToolFunction<{ id: string }>, +]; + +async function main() { + const runner = await openai.beta.chat.completions + .runTools({ + model: 'gpt-4-1106-preview', + stream: true, + tools, + messages: [ + { + role: 'system', + content: + 'Please use our book database, which you can access using functions to answer the following questions.', + }, + { + role: 'user', + content: + 'I really enjoyed reading To Kill a Mockingbird, could you recommend me a book that is similar and tell me why?', + }, + ], + }) + .on('message', (msg) => console.log('msg', msg)) + .on('functionCall', (functionCall) => console.log('functionCall', functionCall)) + .on('functionCallResult', (functionCallResult) => console.log('functionCallResult', functionCallResult)) + .on('content', (diff) => process.stdout.write(diff)); + + const result = await runner.finalChatCompletion(); + console.log(); + console.log('messages'); + console.log(runner.messages); + + console.log(); + console.log('final chat completion'); + console.dir(result, { depth: null }); +} + +const db = [ + { + id: 'a1', + name: 'To Kill a Mockingbird', + genre: 'historical', + description: `Compassionate, dramatic, and deeply moving, "To Kill A Mockingbird" takes readers to the roots of human behavior - to innocence and experience, kindness and cruelty, love and hatred, humor and pathos. Now with over 18 million copies in print and translated into forty languages, this regional story by a young Alabama woman claims universal appeal. Harper Lee always considered her book to be a simple love story. Today it is regarded as a masterpiece of American literature.`, + }, + { + id: 'a2', + name: 'All the Light We Cannot See', + genre: 'historical', + description: `In a mining town in Germany, Werner Pfennig, an orphan, grows up with his younger sister, enchanted by a crude radio they find that brings them news and stories from places they have never seen or imagined. Werner becomes an expert at building and fixing these crucial new instruments and is enlisted to use his talent to track down the resistance. Deftly interweaving the lives of Marie-Laure and Werner, Doerr illuminates the ways, against all odds, people try to be good to one another.`, + }, + { + id: 'a3', + name: 'Where the Crawdads Sing', + genre: 'historical', + description: `For years, rumors of the “Marsh Girl” haunted Barkley Cove, a quiet fishing village. Kya Clark is barefoot and wild; unfit for polite society. So in late 1969, when the popular Chase Andrews is found dead, locals immediately suspect her. +But Kya is not what they say. A born naturalist with just one day of school, she takes life's lessons from the land, learning the real ways of the world from the dishonest signals of fireflies. But while she has the skills to live in solitude forever, the time comes when she yearns to be touched and loved. Drawn to two young men from town, who are each intrigued by her wild beauty, Kya opens herself to a new and startling world—until the unthinkable happens.`, + }, +]; + +async function list({ genre }: { genre: string }) { + return db.filter((item) => item.genre === genre).map((item) => ({ name: item.name, id: item.id })); +} + +async function search({ name }: { name: string }) { + return db.filter((item) => item.name.includes(name)).map((item) => ({ name: item.name, id: item.id })); +} + +async function get({ id }: { id: string }) { + return db.find((item) => item.id === id)!; +} + +main(); diff --git a/examples/tool-calls-stream.ts b/examples/tool-calls-stream.ts new file mode 100755 index 000000000..93f16a245 --- /dev/null +++ b/examples/tool-calls-stream.ts @@ -0,0 +1,263 @@ +#!/usr/bin/env -S npm run tsn -T + +// +// +// +// +// +// +// Note: this file is provided for completeness, +// but much more convenient ways of streaming tool calls are available +// with the `.stream()` and `.runTools()` helpers. +// +// See the `tool-call-helpers.ts` and `stream.ts` examples for usage, +// or the README for documentation. +// +// +// +// +// +// + +import util from 'util'; +import OpenAI from 'openai'; +import { + ChatCompletionMessage, + ChatCompletionChunk, + ChatCompletionMessageParam, +} from 'openai/resources/chat'; + +// Used so that the each chunk coming in is noticable +const CHUNK_DELAY_MS = 100; + +// gets API Key from environment variable OPENAI_API_KEY +const openai = new OpenAI(); + +const tools: OpenAI.Chat.Completions.ChatCompletionTool[] = [ + { + type: 'function', + function: { + name: 'list', + description: 'list queries books by genre, and returns a list of names of books', + parameters: { + type: 'object', + properties: { + genre: { type: 'string', enum: ['mystery', 'nonfiction', 'memoir', 'romance', 'historical'] }, + }, + }, + }, + }, + { + type: 'function', + function: { + name: 'search', + description: 'search queries books by their name and returns a list of book names and their ids', + parameters: { + type: 'object', + properties: { + name: { type: 'string' }, + }, + }, + }, + }, + { + type: 'function', + function: { + name: 'get', + description: + "get returns a book's detailed information based on the id of the book. Note that this does not accept names, and only IDs, which you can get by using search.", + parameters: { + type: 'object', + properties: { + id: { type: 'string' }, + }, + }, + }, + }, +]; + +async function callTool(tool_call: OpenAI.Chat.Completions.ChatCompletionMessageToolCall): Promise { + if (tool_call.type !== 'function') throw new Error('Unexpected tool_call type:' + tool_call.type); + const args = JSON.parse(tool_call.function.arguments); + switch (tool_call.function.name) { + case 'list': + return await list(args['genre']); + + case 'search': + return await search(args['name']); + + case 'get': + return await get(args['id']); + + default: + throw new Error('No function found'); + } +} + +async function main() { + const messages: ChatCompletionMessageParam[] = [ + { + role: 'system', + content: + 'Please use our book database, which you can access using functions to answer the following questions.', + }, + { + role: 'user', + content: + 'I really enjoyed reading To Kill a Mockingbird, could you recommend me a book that is similar and tell me why?', + }, + ]; + console.log(messages[0]); + console.log(); + console.log(messages[1]); + console.log(); + + while (true) { + const stream = await openai.chat.completions.create({ + model: 'gpt-3.5-turbo', + messages, + tools: tools, + stream: true, + }); + + // Since the stream returns chunks, we need to build up the ChatCompletionMessage object. + // We implement this logic in messageReducer, which coalesces deltas into the message. + // `lineRewriter()` allows us to rewrite the last output with new text, which is one + // way of forwarding the streamed output to a visual interface. + let writeLine = lineRewriter(); + let message = {} as ChatCompletionMessage; + for await (const chunk of stream) { + message = messageReducer(message, chunk); + writeLine(message); + + // Add a small delay so that the chunks coming in are noticablej + await new Promise((resolve) => setTimeout(resolve, CHUNK_DELAY_MS)); + } + console.log(); + messages.push(message); + + // If there are no tool calls, we're done and can exit this loop + if (!message.tool_calls) { + return; + } + + // If there are tool calls, we generate a new message with the role 'tool' for each tool call. + for (const toolCall of message.tool_calls) { + const result = await callTool(toolCall); + const newMessage = { + tool_call_id: toolCall.id, + role: 'tool' as const, + name: toolCall.function.name, + content: JSON.stringify(result), + }; + console.log(newMessage); + messages.push(newMessage); + } + console.log(); + } +} + +function messageReducer(previous: ChatCompletionMessage, item: ChatCompletionChunk): ChatCompletionMessage { + const reduce = (acc: any, delta: ChatCompletionChunk.Choice.Delta) => { + acc = { ...acc }; + for (const [key, value] of Object.entries(delta)) { + if (acc[key] === undefined || acc[key] === null) { + acc[key] = value; + // OpenAI.Chat.Completions.ChatCompletionMessageToolCall does not have a key, .index + if (Array.isArray(acc[key])) { + for (const arr of acc[key]) { + delete arr.index; + } + } + } else if (typeof acc[key] === 'string' && typeof value === 'string') { + acc[key] += value; + } else if (typeof acc[key] === 'number' && typeof value === 'number') { + acc[key] = value; + } else if (Array.isArray(acc[key]) && Array.isArray(value)) { + const accArray = acc[key]; + for (let i = 0; i < value.length; i++) { + const { index, ...chunkTool } = value[i]; + if (index - accArray.length > 1) { + throw new Error( + `Error: An array has an empty value when tool_calls are constructed. tool_calls: ${accArray}; tool: ${value}`, + ); + } + accArray[index] = reduce(accArray[index], chunkTool); + } + } else if (typeof acc[key] === 'object' && typeof value === 'object') { + acc[key] = reduce(acc[key], value); + } + } + return acc; + }; + + const choice = item.choices[0]; + if (!choice) { + // chunk contains information about usage and token counts + return previous; + } + return reduce(previous, choice.delta) as ChatCompletionMessage; +} + +function lineRewriter() { + let lastMessageLines = 0; + return function write(value: any) { + process.stdout.cursorTo(0); + process.stdout.moveCursor(0, -lastMessageLines); + + // calculate where to move cursor back for the next move. + const text = util.formatWithOptions({ colors: false, breakLength: Infinity, depth: 4 }, value); + const __LINE_BREAK_PLACE_HOLDER__ = '__LINE_BREAK_PLACE_HOLDER__'; + const lines = text + // @ts-ignore-error this requires es2021 + .replaceAll('\\n', __LINE_BREAK_PLACE_HOLDER__) + .split('\n') + // @ts-ignore-error this requires es2021 + .map((line: string) => line.replaceAll(__LINE_BREAK_PLACE_HOLDER__, '\\n')); + lastMessageLines = -1; + for (const line of lines) { + const lineLength = line.length; + lastMessageLines += Math.ceil(lineLength / process.stdout.columns); + } + lastMessageLines = Math.max(lastMessageLines, 0); + + process.stdout.clearScreenDown(); + process.stdout.write(util.formatWithOptions({ colors: true, breakLength: Infinity, depth: 4 }, value)); + }; +} +const db: { id: string; name: string; genre: string; description: string }[] = [ + { + id: 'a1', + name: 'To Kill a Mockingbird', + genre: 'historical', + description: `Compassionate, dramatic, and deeply moving, "To Kill A Mockingbird" takes readers to the roots of human behavior - to innocence and experience, kindness and cruelty, love and hatred, humor and pathos. Now with over 18 million copies in print and translated into forty languages, this regional story by a young Alabama woman claims universal appeal. Harper Lee always considered her book to be a simple love story. Today it is regarded as a masterpiece of American literature.`, + }, + { + id: 'a2', + name: 'All the Light We Cannot See', + genre: 'historical', + description: `In a mining town in Germany, Werner Pfennig, an orphan, grows up with his younger sister, enchanted by a crude radio they find that brings them news and stories from places they have never seen or imagined. Werner becomes an expert at building and fixing these crucial new instruments and is enlisted to use his talent to track down the resistance. Deftly interweaving the lives of Marie-Laure and Werner, Doerr illuminates the ways, against all odds, people try to be good to one another.`, + }, + { + id: 'a3', + name: 'Where the Crawdads Sing', + genre: 'historical', + description: `For years, rumors of the “Marsh Girl” haunted Barkley Cove, a quiet fishing village. Kya Clark is barefoot and wild; unfit for polite society. So in late 1969, when the popular Chase Andrews is found dead, locals immediately suspect her. + +But Kya is not what they say. A born naturalist with just one day of school, she takes life's lessons from the land, learning the real ways of the world from the dishonest signals of fireflies. But while she has the skills to live in solitude forever, the time comes when she yearns to be touched and loved. Drawn to two young men from town, who are each intrigued by her wild beauty, Kya opens herself to a new and startling world—until the unthinkable happens.`, + }, +]; + +async function list(genre: string) { + return db.filter((item) => item.genre === genre).map((item) => ({ name: item.name, id: item.id })); +} + +async function search(name: string) { + return db.filter((item) => item.name.includes(name)).map((item) => ({ name: item.name, id: item.id })); +} + +async function get(id: string) { + return db.find((item) => item.id === id)!; +} + +main(); diff --git a/examples/tsconfig.json b/examples/tsconfig.json new file mode 100644 index 000000000..3c43903cf --- /dev/null +++ b/examples/tsconfig.json @@ -0,0 +1,3 @@ +{ + "extends": "../tsconfig.json" +} diff --git a/examples/types.ts b/examples/types.ts new file mode 100755 index 000000000..482e1f6be --- /dev/null +++ b/examples/types.ts @@ -0,0 +1,31 @@ +#!/usr/bin/env -S npm run tsn -T + +import OpenAI from 'openai'; + +// gets API Key from environment variable OPENAI_API_KEY +const openai = new OpenAI(); + +async function main() { + // Explicit non streaming params type: + const params: OpenAI.Chat.CompletionCreateParams = { + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test!' }], + }; + const completion = await openai.chat.completions.create(params); + console.log(completion.choices[0]?.message?.content); + + // Explicit streaming params type: + const streaming_params: OpenAI.Chat.CompletionCreateParams = { + model: 'gpt-4', + messages: [{ role: 'user', content: 'Say this is a test!' }], + stream: true, + }; + + const stream = await openai.chat.completions.create(streaming_params); + for await (const chunk of stream) { + process.stdout.write(chunk.choices[0]?.delta?.content || ''); + } + process.stdout.write('\n'); +} + +main(); diff --git a/examples/ui-generation.ts b/examples/ui-generation.ts new file mode 100644 index 000000000..84636b1f0 --- /dev/null +++ b/examples/ui-generation.ts @@ -0,0 +1,51 @@ +import OpenAI from 'openai'; +import { z } from 'zod'; +import { zodResponseFormat } from 'openai/helpers/zod'; + +const openai = new OpenAI(); + +// `z.lazy()` can't infer recursive types so we have to explicitly +// define the type ourselves here +interface UI { + type: 'div' | 'button' | 'header' | 'section' | 'field' | 'form'; + label: string; + children: Array; + attributes: { + value: string; + name: string; + }[]; +} + +const UISchema: z.ZodType = z.lazy(() => + z.object({ + type: z.enum(['div', 'button', 'header', 'section', 'field', 'form']), + label: z.string(), + children: z.array(UISchema), + attributes: z.array( + z.object({ + name: z.string(), + value: z.string(), + }), + ), + }), +); + +async function main() { + const completion = await openai.beta.chat.completions.parse({ + model: 'gpt-4o-2024-08-06', + messages: [ + { + role: 'system', + content: 'You are a UI generator AI. Convert the user input into a UI.', + }, + { role: 'user', content: 'Make a User Profile Form' }, + ], + response_format: zodResponseFormat(UISchema, 'ui'), + }); + + const message = completion.choices[0]!.message; + const ui = message.parsed; + console.dir(ui, { depth: 10 }); +} + +main(); diff --git a/helpers.md b/helpers.md new file mode 100644 index 000000000..41b352e5e --- /dev/null +++ b/helpers.md @@ -0,0 +1,716 @@ +# Structured Outputs Parsing Helpers + +The OpenAI API supports extracting JSON from the model with the `response_format` request param, for more details on the API, see [this guide](https://platform.openai.com/docs/guides/structured-outputs). + +The SDK provides a `client.beta.chat.completions.parse()` method which is a wrapper over the `client.chat.completions.create()` that +provides richer integrations with TS specific types & returns a `ParsedChatCompletion` object, which is an extension of the standard `ChatCompletion` type. + +## Auto-parsing response content with Zod schemas + +You can pass zod schemas wrapped with `zodResponseFormat()` to the `.parse()` method and the SDK will automatically conver the model +into a JSON schema, send it to the API and parse the response content back using the given zod schema. + +```ts +import { zodResponseFormat } from 'openai/helpers/zod'; +import OpenAI from 'openai/index'; +import { z } from 'zod'; + +const Step = z.object({ + explanation: z.string(), + output: z.string(), +}); + +const MathResponse = z.object({ + steps: z.array(Step), + final_answer: z.string(), +}); + +const client = new OpenAI(); + +const completion = await client.beta.chat.completions.parse({ + model: 'gpt-4o-2024-08-06', + messages: [ + { role: 'system', content: 'You are a helpful math tutor.' }, + { role: 'user', content: 'solve 8x + 31 = 2' }, + ], + response_format: zodResponseFormat(MathResponse, 'math_response'), +}); + +console.dir(completion, { depth: 5 }); + +const message = completion.choices[0]?.message; +if (message?.parsed) { + console.log(message.parsed.steps); + console.log(`answer: ${message.parsed.final_answer}`); +} +``` + +## Auto-parsing function tool calls + +The `.parse()` method will also automatically parse `function` tool calls if: + +- You use the `zodFunction()` helper method +- You mark your tool schema with `"strict": True` + +For example: + +```ts +import { zodFunction } from 'openai/helpers/zod'; +import OpenAI from 'openai/index'; +import { z } from 'zod'; + +const Table = z.enum(['orders', 'customers', 'products']); + +const Column = z.enum([ + 'id', + 'status', + 'expected_delivery_date', + 'delivered_at', + 'shipped_at', + 'ordered_at', + 'canceled_at', +]); + +const Operator = z.enum(['=', '>', '<', '<=', '>=', '!=']); + +const OrderBy = z.enum(['asc', 'desc']); + +const DynamicValue = z.object({ + column_name: z.string(), +}); + +const Condition = z.object({ + column: z.string(), + operator: Operator, + value: z.union([z.string(), z.number(), DynamicValue]), +}); + +const Query = z.object({ + table_name: Table, + columns: z.array(Column), + conditions: z.array(Condition), + order_by: OrderBy, +}); + +const client = new OpenAI(); +const completion = await client.beta.chat.completions.parse({ + model: 'gpt-4o-2024-08-06', + messages: [ + { + role: 'system', + content: + 'You are a helpful assistant. The current date is August 6, 2024. You help users query for the data they are looking for by calling the query function.', + }, + { + role: 'user', + content: 'look up all my orders in november of last year that were fulfilled but not delivered on time', + }, + ], + tools: [zodFunction({ name: 'query', parameters: Query })], +}); +console.dir(completion, { depth: 10 }); + +const toolCall = completion.choices[0]?.message.tool_calls?.[0]; +if (toolCall) { + const args = toolCall.function.parsed_arguments as z.infer; + console.log(args); + console.log(args.table_name); +} + +main(); +``` + +### Differences from `.create()` + +The `beta.chat.completions.parse()` method imposes some additional restrictions on it's usage that `chat.completions.create()` does not. + +- If the completion completes with `finish_reason` set to `length` or `content_filter`, the `LengthFinishReasonError` / `ContentFilterFinishReasonError` errors will be raised. +- Only strict function tools can be passed, e.g. `{type: 'function', function: {..., strict: true}}` + +# Streaming Helpers + +OpenAI supports streaming responses when interacting with the [Chat](#chat-streaming) or [Assistant](#assistant-streaming-api) APIs. + +## Assistant Streaming API + +OpenAI supports streaming responses from Assistants. The SDK provides convenience wrappers around the API +so you can subscribe to the types of events you are interested in as well as receive accumulated responses. + +More information can be found in the documentation: [Assistant Streaming](https://platform.openai.com/docs/assistants/overview?lang=node.js) + +#### An example of creating a run and subscribing to some events + +```ts +const run = openai.beta.threads.runs + .stream(thread.id, { assistant_id: assistant.id }) + .on('textCreated', (text) => process.stdout.write('\nassistant > ')) + .on('textDelta', (textDelta, snapshot) => process.stdout.write(textDelta.value)) + .on('toolCallCreated', (toolCall) => process.stdout.write(`\nassistant > ${toolCall.type}\n\n`)) + .on('toolCallDelta', (toolCallDelta, snapshot) => { + if (toolCallDelta.type === 'code_interpreter') { + if (toolCallDelta.code_interpreter.input) { + process.stdout.write(toolCallDelta.code_interpreter.input); + } + if (toolCallDelta.code_interpreter.outputs) { + process.stdout.write('\noutput >\n'); + toolCallDelta.code_interpreter.outputs.forEach((output) => { + if (output.type === 'logs') { + process.stdout.write(`\n${output.logs}\n`); + } + }); + } + } + }); +``` + +### Starting a stream + +There are three helper methods for creating streams: + +```ts +openai.beta.threads.runs.stream(); +``` + +This method can be used to start and stream the response to an existing run with an associated thread +that is already populated with messages. + +```ts +openai.beta.threads.createAndRunStream(); +``` + +This method can be used to add a message to a thread, start a run and then stream the response. + +```ts +openai.beta.threads.runs.submitToolOutputsStream(); +``` + +This method can be used to submit a tool output to a run waiting on the output and start a stream. + +### Assistant Events + +The assistant API provides events you can subscribe to for the following events. + +```ts +.on('event', (event: AssistantStreamEvent) => ...) +``` + +This allows you to subscribe to all the possible raw events sent by the OpenAI streaming API. +In many cases it will be more convenient to subscribe to a more specific set of events for your use case. + +More information on the types of events can be found here: [Events](https://platform.openai.com/docs/api-reference/assistants-streaming/events) + +```ts +.on('runStepCreated', (runStep: RunStep) => ...) +.on('runStepDelta', (delta: RunStepDelta, snapshot: RunStep) => ...) +.on('runStepDone', (runStep: RunStep) => ...) +``` + +These events allow you to subscribe to the creation, delta and completion of a RunStep. + +For more information on how Runs and RunSteps work see the documentation [Runs and RunSteps](https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps) + +```ts +.on('messageCreated', (message: Message) => ...) +.on('messageDelta', (delta: MessageDelta, snapshot: Message) => ...) +.on('messageDone', (message: Message) => ...) +``` + +This allows you to subscribe to Message creation, delta and completion events. Messages can contain +different types of content that can be sent from a model (and events are available for specific content types). +For convenience, the delta event includes both the incremental update and an accumulated snapshot of the content. + +More information on messages can be found +on in the documentation page [Message](https://platform.openai.com/docs/api-reference/messages/object). + +```ts +.on('textCreated', (content: Text) => ...) +.on('textDelta', (delta: TextDelta, snapshot: Text) => ...) +.on('textDone', (content: Text, snapshot: Message) => ...) +``` + +These events allow you to subscribe to the creation, delta and completion of a Text content (a specific type of message). +For convenience, the delta event includes both the incremental update and an accumulated snapshot of the content. + +```ts +.on('imageFileDone', (content: ImageFile, snapshot: Message) => ...) +``` + +Image files are not sent incrementally so an event is provided for when a image file is available. + +```ts +.on('toolCallCreated', (toolCall: ToolCall) => ...) +.on('toolCallDelta', (delta: RunStepDelta, snapshot: ToolCall) => ...) +.on('toolCallDone', (toolCall: ToolCall) => ...) +``` + +These events allow you to subscribe to events for the creation, delta and completion of a ToolCall. + +More information on tools can be found here [Tools](https://platform.openai.com/docs/assistants/tools) + +```ts +.on('end', () => ...) +``` + +The last event send when a stream ends. + +### Assistant Methods + +The assistant streaming object also provides a few methods for convenience: + +```ts +.currentEvent(): AssistantStreamEvent | undefined + +.currentRun(): Run | undefined + +.currentMessageSnapshot(): Message + +.currentRunStepSnapshot(): Runs.RunStep +``` + +These methods are provided to allow you to access additional context from within event handlers. In many cases +the handlers should include all the information you need for processing, but if additional context is required it +can be accessed. + +Note: There is not always a relevant context in certain situations (these will be `undefined` in those cases). + +```ts +await .finalMessages() : Promise + +await .finalRunSteps(): Promise +``` + +These methods are provided for convenience to collect information at the end of a stream. Calling these events +will trigger consumption of the stream until completion and then return the relevant accumulated objects. + +## Chat Streaming + +### Streaming Responses + +```ts +openai.chat.completions.stream({ stream?: false, … }, options?): ChatCompletionStreamingRunner +``` + +`openai.chat.completions.stream()` returns a `ChatCompletionStreamingRunner`, which emits events, has an async +iterator, and exposes helper methods to accumulate chunks into a convenient shape and make it easy to reason +about the conversation. + +Alternatively, you can use `openai.chat.completions.create({ stream: true, … })` which returns an async +iterable of the chunks in the stream and uses less memory (most notably, it does not accumulate a final chat +completion object for you). + +If you need to cancel a stream, you can `break` from a `for await` loop or call `stream.abort()`. + +See an example of streaming helpers in action in [`examples/stream.ts`](examples/stream.ts). + +### Automated function calls + +We provide the `openai.beta.chat.completions.runTools({…})` +convenience helper for using function tool calls with the `/chat/completions` endpoint +which automatically call the JavaScript functions you provide +and sends their results back to the `/chat/completions` endpoint, +looping as long as the model requests tool calls. + +If you pass a `parse` function, it will automatically parse the `arguments` for you +and returns any parsing errors to the model to attempt auto-recovery. +Otherwise, the args will be passed to the function you provide as a string. + +If you pass `tool_choice: {function: {name: …}}` instead of `auto`, +it returns immediately after calling that function (and only loops to auto-recover parsing errors). + +```ts +import OpenAI from 'openai'; + +const client = new OpenAI(); + +async function main() { + const runner = client.beta.chat.completions + .runTools({ + model: 'gpt-4o', + messages: [{ role: 'user', content: 'How is the weather this week?' }], + tools: [ + { + type: 'function', + function: { + function: getCurrentLocation, + parameters: { type: 'object', properties: {} }, + }, + }, + { + type: 'function', + function: { + function: getWeather, + parse: JSON.parse, // or use a validation library like zod for typesafe parsing. + parameters: { + type: 'object', + properties: { + location: { type: 'string' }, + }, + }, + }, + }, + ], + }) + .on('message', (message) => console.log(message)); + + const finalContent = await runner.finalContent(); + console.log(); + console.log('Final content:', finalContent); +} + +async function getCurrentLocation() { + return 'Boston'; // Simulate lookup +} + +async function getWeather(args: { location: string }) { + const { location } = args; + // … do lookup … + return { temperature, precipitation }; +} + +main(); + +// {role: "user", content: "How's the weather this week?"} +// {role: "assistant", tool_calls: [{type: "function", function: {name: "getCurrentLocation", arguments: "{}"}, id: "123"} +// {role: "tool", name: "getCurrentLocation", content: "Boston", tool_call_id: "123"} +// {role: "assistant", tool_calls: [{type: "function", function: {name: "getWeather", arguments: '{"location": "Boston"}'}, id: "1234"}]} +// {role: "tool", name: "getWeather", content: '{"temperature": "50degF", "preciptation": "high"}', tool_call_id: "1234"} +// {role: "assistant", content: "It's looking cold and rainy - you might want to wear a jacket!"} +// +// Final content: "It's looking cold and rainy - you might want to wear a jacket!" +``` + +Like with `.stream()`, we provide a variety of [helpers and events](helpers.md#chat-events). + +Read more about various examples such as with integrating with [zod](#integrate-with-zod), +[next.js](#integrate-with-nextjs), and [proxying a stream to the browser](#proxy-streaming-to-a-browser). + +By default, we run the loop up to 10 chat completions from the API. You can change this behavior by +adjusting `maxChatCompletions` in the request options object. Note that `max_tokens` is the limit per +chat completion request, not for the entire call run. + +See an example of automated function calls in action in +[`examples/function-call-helpers.ts`](examples/function-call-helpers.ts). + +Note, `runFunctions` was also previously available, but has been deprecated in favor of `runTools`. + +### Chat Events + +#### `.on('connect', () => …)` + +The first event that is fired when the connection with the OpenAI API is established. + +#### `.on('chunk', (chunk: ChatCompletionChunk, snapshot: ChatCompletionSnapshot) => …)` (with `stream`) + +The event fired when a chunk is received from the API. Not fired when it is not streaming. The snapshot +returns an accumulated `ChatCompletionSnapshot`, which has a similar shape to `ChatCompletion` with optional +fields and is built up from the chunks. + +#### `.on('chatCompletion', (completion: ChatCompletion) => …)` + +The event fired when a chat completion is returned or done being streamed by the API. + +#### `.on('message', (message: ChatCompletionMessageParam) => …)` + +The event fired when a new message is either sent or received from the API. Does not fire for the messages +sent as the parameter to either `.runTools()` or `.stream()` + +#### `.on('content', (content: string) => …)` (without `stream`) + +The event fired when a message from the `assistant` is received from the API. + +#### `.on('content', (delta: string, snapshot: string) => …)` (with `stream`) + +The event fired when a chunk from the `assistant` is received from the API. The `delta` argument contains the +content of the chunk, while the `snapshot` returns the accumulated content for the current message. + +#### `.on('functionCall', (functionCall: ChatCompletionMessage.FunctionCall) => …)` + +The event fired when a function call is made by the assistant. + +#### `.on('functionCallResult', (content: string) => …)` + +The event fired when the function runner responds to the function call with `role: "function"`. The `content` of the +response is given as the first argument to the callback. + +#### `.on('content.delta', (props: ContentDeltaEvent) => ...)` + +The event fired for every chunk containing new content. The `props` object contains: +- `delta`: The new content string received in this chunk +- `snapshot`: The accumulated content so far +- `parsed`: The partially parsed content (if applicable) + +#### `.on('content.done', (props: ContentDoneEvent) => ...)` + +The event fired when the content generation is complete. The `props` object contains: +- `content`: The full generated content +- `parsed`: The fully parsed content (if applicable) + +#### `.on('refusal.delta', (props: RefusalDeltaEvent) => ...)` + +The event fired when a chunk contains part of a content refusal. The `props` object contains: +- `delta`: The new refusal content string received in this chunk +- `snapshot`: The accumulated refusal content string so far + +#### `.on('refusal.done', (props: RefusalDoneEvent) => ...)` + +The event fired when the refusal content is complete. The `props` object contains: +- `refusal`: The full refusal content + +#### `.on('tool_calls.function.arguments.delta', (props: FunctionToolCallArgumentsDeltaEvent) => ...)` + +The event fired when a chunk contains part of a function tool call's arguments. The `props` object contains: +- `name`: The name of the function being called +- `index`: The index of the tool call +- `arguments`: The accumulated raw JSON string of arguments +- `parsed_arguments`: The partially parsed arguments object +- `arguments_delta`: The new JSON string fragment received in this chunk + +#### `.on('tool_calls.function.arguments.done', (props: FunctionToolCallArgumentsDoneEvent) => ...)` + +The event fired when a function tool call's arguments are complete. The `props` object contains: +- `name`: The name of the function being called +- `index`: The index of the tool call +- `arguments`: The full raw JSON string of arguments +- `parsed_arguments`: The fully parsed arguments object + +#### `.on('logprobs.content.delta', (props: LogProbsContentDeltaEvent) => ...)` + +The event fired when a chunk contains new content log probabilities. The `props` object contains: +- `content`: A list of the new log probabilities received in this chunk +- `snapshot`: A list of the accumulated log probabilities so far + +#### `.on('logprobs.content.done', (props: LogProbsContentDoneEvent) => ...)` + +The event fired when all content log probabilities have been received. The `props` object contains: +- `content`: The full list of token log probabilities for the content + +#### `.on('logprobs.refusal.delta', (props: LogProbsRefusalDeltaEvent) => ...)` + +The event fired when a chunk contains new refusal log probabilities. The `props` object contains: +- `refusal`: A list of the new log probabilities received in this chunk +- `snapshot`: A list of the accumulated log probabilities so far + +#### `.on('logprobs.refusal.done', (props: LogProbsRefusalDoneEvent) => ...)` + +The event fired when all refusal log probabilities have been received. The `props` object contains: +- `refusal`: The full list of token log probabilities for the refusal + +#### `.on('finalChatCompletion', (completion: ChatCompletion) => …)` + +The event fired for the final chat completion. If the function call runner exceeds the number +`maxChatCompletions`, then the last chat completion is given. + +#### `.on('finalContent', (contentSnapshot: string) => …)` + +The event fired for the `content` of the last `role: "assistant"` message. Not fired if there is no `assistant` +message. + +#### `.on('finalMessage', (message: ChatCompletionMessage) => …)` + +The event fired for the last message. + +#### `.on('finalFunctionCall', (functionCall: ChatCompletionMessage.FunctionCall) => …)` + +The event fired for the last message with a defined `function_call`. + +#### `.on('finalFunctionCallResult', (content: string) => …)` + +The event fired for the last message with a `role: "function"`. + +#### `.on('error', (error: OpenAIError) => …)` + +The event fired when an error is encountered outside of a `parse` function or an abort. + +#### `.on('abort', (error: APIUserAbortError) => …)` + +The event fired when the stream receives a signal to abort. + +#### `.on('totalUsage', (usage: CompletionUsage) => …)` (without `stream`, usage is not currently reported with `stream`) + +The event fired at the end, returning the total usage of the call. + +#### `.on('end', () => …)` + +The last event fired in the stream. + +### Chat Methods + +#### `.abort()` + +Aborts the runner and the streaming request, equivalent to `.controller.abort()`. Calling `.abort()` on a +`ChatCompletionStreamingRunner` will also abort any in-flight network requests. + +#### `await .done()` + +An empty promise which resolves when the stream is done. + +#### `await .finalChatCompletion()` + +A promise which resolves with the final chat completion that was received from the API. Throws if the request +ends before a complete chat completion is returned. + +#### `await .allChatCompletions()` + +A promise which resolves with The array of all chat completions that were received from the API. + +#### `await .finalContent()` + +A promise which resolves with the `content` of the last `role: "assistant"` message. Throws if no such message +can be found. + +#### `await .finalMessage()` + +A promise which resolves with the last message. + +#### `await .finalFunctionCall()` + +A promise which resolves with the last message with a defined `function_call`. Throws if no such message is +found. + +#### `await .finalFunctionCallResult()` + +A promise which resolves with the last message with a `role: "function"`. Throws if no such message is found. + +#### `await .totalUsage()` (without `stream`, usage is not currently reported with `stream`) + +A promise which resolves with the total usage. + +### Chat Fields + +#### `.messages` + +A mutable array of all messages in the conversation. + +#### `.controller` + +The underlying `AbortController` for the runner. + +### Chat Examples + +#### Abort on a function call + +If you have a function call flow which you intend to _end_ with a certain function call, then you can use the second +argument `runner` given to the function to either mutate `runner.messages` or call `runner.abort()`. + +```ts +import OpenAI from 'openai'; + +const client = new OpenAI(); + +async function main() { + const runner = client.chat.completions + .runTools({ + model: 'gpt-3.5-turbo', + messages: [{ role: 'user', content: "How's the weather this week in Los Angeles?" }], + tools: [ + { + type: 'function', + function: { + function: function updateDatabase(props, runner) { + runner.abort() + }, + … + } + }, + ], + }) + .on('message', (message) => console.log(message)); + + const finalFunctionCall = await runner.finalFunctionCall(); + console.log('Final function call:', finalFunctionCall); +} + +main(); +``` + +#### Integrate with `zod` + +[`zod`](https://www.npmjs.com/package/zod) is a schema validation library which can help with validating the +assistant's response to make sure it conforms to a schema. Paired with [`zod-to-json-schema`](https://www.npmjs.com/package/zod-to-json-schema), the validation schema also acts as the `parameters` JSON Schema passed to the API. + +```ts +import OpenAI from 'openai'; +import { z } from 'zod'; +import { zodToJsonSchema } from 'zod-to-json-schema'; + +const client = new OpenAI(); + +async function main() { + const runner = client.chat.completions + .runTools({ + model: 'gpt-3.5-turbo', + messages: [{ role: 'user', content: "How's the weather this week in Los Angeles?" }], + tools: [ + { + type: 'function', + function: { + function: getWeather, + parse: GetWeatherParameters.parse, + parameters: zodToJsonSchema(GetWeatherParameters), + }, + }, + ], + }) + .on('message', (message) => console.log(message)); + + const finalContent = await runner.finalContent(); + console.log('Final content:', finalContent); +} + +const GetWeatherParameters = z.object({ + location: z.enum(['Boston', 'New York City', 'Los Angeles', 'San Francisco']), +}); + +async function getWeather(args: z.infer) { + const { location } = args; + // … do lookup … + return { temperature, precipitation }; +} + +main(); +``` + +See a more fully-fledged example in [`examples/function-call-helpers-zod.ts`](examples/function-call-helpers-zod.ts). + +#### Integrate with Next.JS + +See an example of a Next.JS integration here [`examples/stream-to-client-next.ts`](examples/stream-to-client-next.ts). + +#### Proxy Streaming to a Browser + +See an example of using express to stream to a browser here [`examples/stream-to-client-express.ts`](examples/stream-to-client-express.ts). + +# Polling Helpers + +When interacting with the API some actions such as starting a Run and adding files to vector stores are asynchronous and take time to complete. +The SDK includes helper functions which will poll the status until it reaches a terminal state and then return the resulting object. +If an API method results in an action which could benefit from polling there will be a corresponding version of the +method ending in `_AndPoll`. + +All methods also allow you to set the polling frequency, how often the API is checked for an update, via a function argument (`pollIntervalMs`). + +The polling methods are: + +```ts +client.beta.threads.createAndRunPoll(...) +client.beta.threads.runs.createAndPoll((...) +client.beta.threads.runs.submitToolOutputsAndPoll((...) +client.beta.vectorStores.files.uploadAndPoll((...) +client.beta.vectorStores.files.createAndPoll((...) +client.beta.vectorStores.fileBatches.createAndPoll((...) +client.beta.vectorStores.fileBatches.uploadAndPoll((...) +``` + +# Bulk Upload Helpers + +When creating and interacting with vector stores, you can use the polling helpers to monitor the status of operations. +For convenience, we also provide a bulk upload helper to allow you to simultaneously upload several files at once. + +```ts +const fileList = [ + createReadStream('/home/data/example.pdf'), + ... +]; + +const batch = await openai.vectorStores.fileBatches.uploadAndPoll(vectorStore.id, {files: fileList}); +``` diff --git a/index.ts b/index.ts deleted file mode 100644 index 2c4c9da1c..000000000 --- a/index.ts +++ /dev/null @@ -1,18 +0,0 @@ -/* tslint:disable */ -/* eslint-disable */ -/** - * OpenAI API - * APIs for sampling from and fine-tuning language models - * - * The version of the OpenAPI document: 1.1.0 - * - * - * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). - * https://openapi-generator.tech - * Do not edit the class manually. - */ - - -export * from "./api"; -export * from "./configuration"; - diff --git a/jest.config.ts b/jest.config.ts new file mode 100644 index 000000000..aa2853fd2 --- /dev/null +++ b/jest.config.ts @@ -0,0 +1,24 @@ +import type { JestConfigWithTsJest } from 'ts-jest'; + +const config: JestConfigWithTsJest = { + preset: 'ts-jest/presets/default-esm', + testEnvironment: 'node', + transform: { + '^.+\\.(t|j)sx?$': ['@swc/jest', { sourceMaps: 'inline' }], + }, + moduleNameMapper: { + '^openai$': '/src/index.ts', + '^openai/_shims/auto/(.*)$': '/src/_shims/auto/$1-node', + '^openai/(.*)$': '/src/$1', + }, + modulePathIgnorePatterns: [ + '/ecosystem-tests/', + '/dist/', + '/deno/', + '/deno_tests/', + ], + testPathIgnorePatterns: ['scripts'], + prettierPath: require.resolve('prettier-2'), +}; + +export default config; diff --git a/jsr.json b/jsr.json new file mode 100644 index 000000000..3c2d41b0f --- /dev/null +++ b/jsr.json @@ -0,0 +1,17 @@ +{ + "name": "@openai/openai", + "version": "4.100.0", + "exports": { + ".": "./index.ts", + "./helpers/zod": "./helpers/zod.ts", + "./beta/realtime/websocket": "./beta/realtime/websocket.ts" + }, + "imports": { + "zod": "npm:zod@3" + }, + "publish": { + "exclude": [ + "!." + ] + } +} diff --git a/jsr.json.orig b/jsr.json.orig new file mode 100644 index 000000000..c7b99a6f6 --- /dev/null +++ b/jsr.json.orig @@ -0,0 +1,25 @@ +{ + "name": "@openai/openai", +<<<<<<< HEAD + "version": "4.87.4", + "exports": { + ".": "./index.ts", + "./helpers/zod": "./helpers/zod.ts", + "./beta/realtime/websocket": "./beta/realtime/websocket.ts" + }, + "imports": { + "zod": "npm:zod@3" + }, +||||||| parent of 0603bcac (chore(internal): version bump (#1393)) + "version": "4.87.3", + "exports": "./index.ts", +======= + "version": "4.87.4", + "exports": "./index.ts", +>>>>>>> 0603bcac (chore(internal): version bump (#1393)) + "publish": { + "exclude": [ + "!." + ] + } +} diff --git a/package-lock.json b/package-lock.json deleted file mode 100644 index da120fda5..000000000 --- a/package-lock.json +++ /dev/null @@ -1,191 +0,0 @@ -{ - 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} - } -} diff --git a/package.json b/package.json index 70c49f4e9..23205e569 100644 --- a/package.json +++ b/package.json @@ -1,31 +1,141 @@ { "name": "openai", - "version": "3.1.0", - "description": "Node.js library for the OpenAI API", - "repository": { - "type": "git", - "url": "git@github.com:openai/openai-node.git" - }, - "keywords": [ - "openai", - "open", - "ai", - "gpt-3", - "gpt3" + "version": "4.100.0", + "description": "The official TypeScript library for the OpenAI API", + "author": "OpenAI ", + "types": "dist/index.d.ts", + "main": "dist/index.js", + "type": "commonjs", + "repository": "github:openai/openai-node", + "license": "Apache-2.0", + "packageManager": "yarn@1.22.22", + "files": [ + "**/*" ], - "author": "OpenAI", - "license": "MIT", - "main": "./dist/index.js", - "types": "./dist/index.d.ts", + "private": false, "scripts": { - "build": "tsc --outDir dist/" + "test": "./scripts/test", + "build": "./scripts/build", + "prepublishOnly": "echo 'to publish, run yarn build && (cd dist; yarn publish)' && exit 1", + "format": "prettier --write --cache --cache-strategy metadata . !dist", + "prepare": "if ./scripts/utils/check-is-in-git-install.sh; then ./scripts/build && ./scripts/utils/git-swap.sh; fi", + "tsn": "ts-node -r tsconfig-paths/register", + "lint": "./scripts/lint", + "fix": "./scripts/format" }, "dependencies": { - "axios": "^0.26.0", - "form-data": "^4.0.0" + "@types/node": "^18.11.18", + "@types/node-fetch": "^2.6.4", + "abort-controller": "^3.0.0", + "agentkeepalive": "^4.2.1", + "form-data-encoder": "1.7.2", + "formdata-node": "^4.3.2", + "node-fetch": "^2.6.7" }, "devDependencies": { - "@types/node": "^12.11.5", - "typescript": "^3.6.4" + "@swc/core": "^1.3.102", + "@swc/jest": "^0.2.29", + "@types/jest": "^29.4.0", + "@types/ws": "^8.5.13", + "@typescript-eslint/eslint-plugin": "^6.7.0", + "@typescript-eslint/parser": "^6.7.0", + "eslint": "^8.49.0", + "eslint-plugin-prettier": "^5.0.1", + "eslint-plugin-unused-imports": "^3.0.0", + "fast-check": "^3.22.0", + "iconv-lite": "^0.6.3", + "jest": "^29.4.0", + "prettier": "^3.0.0", + "prettier-2": "npm:prettier@^2", + "ts-jest": "^29.1.0", + "ts-node": "^10.5.0", + "tsc-multi": "^1.1.0", + "tsconfig-paths": "^4.0.0", + "typescript": "^4.8.2", + "ws": "^8.18.0", + "zod": "^3.23.8" + }, + "sideEffects": [ + "./_shims/index.js", + "./_shims/index.mjs", + "./shims/node.js", + "./shims/node.mjs", + "./shims/web.js", + "./shims/web.mjs" + ], + "imports": { + "openai": ".", + "openai/*": "./src/*" + }, + "exports": { + "./_shims/auto/*": { + "deno": { + "types": "./dist/_shims/auto/*.d.ts", + "require": "./dist/_shims/auto/*.js", + "default": "./dist/_shims/auto/*.mjs" + }, + "bun": { + "types": "./dist/_shims/auto/*.d.ts", + "require": "./dist/_shims/auto/*-bun.js", + "default": "./dist/_shims/auto/*-bun.mjs" + }, + "browser": { + "types": "./dist/_shims/auto/*.d.ts", + "require": "./dist/_shims/auto/*.js", + "default": "./dist/_shims/auto/*.mjs" + }, + "worker": { + "types": "./dist/_shims/auto/*.d.ts", + "require": "./dist/_shims/auto/*.js", + "default": "./dist/_shims/auto/*.mjs" + }, + "workerd": { + "types": "./dist/_shims/auto/*.d.ts", + "require": "./dist/_shims/auto/*.js", + "default": "./dist/_shims/auto/*.mjs" + }, + "node": { + "types": "./dist/_shims/auto/*-node.d.ts", + "require": "./dist/_shims/auto/*-node.js", + "default": "./dist/_shims/auto/*-node.mjs" + }, + "types": "./dist/_shims/auto/*.d.ts", + "require": "./dist/_shims/auto/*.js", + "default": "./dist/_shims/auto/*.mjs" + }, + ".": { + "require": { + "types": "./dist/index.d.ts", + "default": "./dist/index.js" + }, + "types": "./dist/index.d.mts", + "default": "./dist/index.mjs" + }, + "./*.mjs": { + "types": "./dist/*.d.ts", + "default": "./dist/*.mjs" + }, + "./*.js": { + "types": "./dist/*.d.ts", + "default": "./dist/*.js" + }, + "./*": { + "types": "./dist/*.d.ts", + "require": "./dist/*.js", + "default": "./dist/*.mjs" + } + }, + "bin": "./bin/cli", + "peerDependencies": { + "ws": "^8.18.0", + "zod": "^3.23.8" + }, + "peerDependenciesMeta": { + "ws": { + "optional": true + }, + "zod": { + "optional": true + } } } diff --git a/realtime.md b/realtime.md new file mode 100644 index 000000000..7e8d84a3c --- /dev/null +++ b/realtime.md @@ -0,0 +1,86 @@ +## Realtime API beta + +The Realtime API enables you to build low-latency, multi-modal conversational experiences. It currently supports text and audio as both input and output, as well as [function calling](https://platform.openai.com/docs/guides/function-calling) through a `WebSocket` connection. + +The Realtime API works through a combination of client-sent events and server-sent events. Clients can send events to do things like update session configuration or send text and audio inputs. Server events confirm when audio responses have completed, or when a text response from the model has been received. A full event reference can be found [here](https://platform.openai.com/docs/api-reference/realtime-client-events) and a guide can be found [here](https://platform.openai.com/docs/guides/realtime). + +This SDK supports accessing the Realtime API through the [WebSocket API](https://developer.mozilla.org/en-US/docs/Web/API/WebSocket) or with [ws](https://github.com/websockets/ws). + +Basic text based example with `ws`: + +```ts +// requires `yarn add ws @types/ws` +import { OpenAIRealtimeWS } from 'openai/beta/realtime/ws'; + +const rt = new OpenAIRealtimeWS({ model: 'gpt-4o-realtime-preview-2024-12-17' }); + +// access the underlying `ws.WebSocket` instance +rt.socket.on('open', () => { + console.log('Connection opened!'); + rt.send({ + type: 'session.update', + session: { + modalities: ['text'], + model: 'gpt-4o-realtime-preview', + }, + }); + + rt.send({ + type: 'conversation.item.create', + item: { + type: 'message', + role: 'user', + content: [{ type: 'input_text', text: 'Say a couple paragraphs!' }], + }, + }); + + rt.send({ type: 'response.create' }); +}); + +rt.on('error', (err) => { + // in a real world scenario this should be logged somewhere as you + // likely want to continue processing events regardless of any errors + throw err; +}); + +rt.on('session.created', (event) => { + console.log('session created!', event.session); + console.log(); +}); + +rt.on('response.text.delta', (event) => process.stdout.write(event.delta)); +rt.on('response.text.done', () => console.log()); + +rt.on('response.done', () => rt.close()); + +rt.socket.on('close', () => console.log('\nConnection closed!')); +``` + +To use the web API `WebSocket` implementation, replace `OpenAIRealtimeWS` with `OpenAIRealtimeWebSocket` and adjust any `rt.socket` access: + +```ts +import { OpenAIRealtimeWebSocket } from 'openai/beta/realtime/websocket'; + +const rt = new OpenAIRealtimeWebSocket({ model: 'gpt-4o-realtime-preview-2024-12-17' }); +// ... +rt.socket.addEventListener('open', () => { + // ... +}); +``` + +A full example can be found [here](https://github.com/openai/openai-node/blob/master/examples/realtime/websocket.ts). + +### Realtime error handling + +When an error is encountered, either on the client side or returned from the server through the [`error` event](https://platform.openai.com/docs/guides/realtime-model-capabilities#error-handling), the `error` event listener will be fired. However, if you haven't registered an `error` event listener then an `unhandled Promise rejection` error will be thrown. + +It is **highly recommended** that you register an `error` event listener and handle errors approriately as typically the underlying connection is still usable. + +```ts +const rt = new OpenAIRealtimeWS({ model: 'gpt-4o-realtime-preview-2024-12-17' }); +rt.on('error', (err) => { + // in a real world scenario this should be logged somewhere as you + // likely want to continue processing events regardless of any errors + throw err; +}); +``` \ No newline at end of file diff --git a/release-please-config.json b/release-please-config.json new file mode 100644 index 000000000..1aa2fb613 --- /dev/null +++ b/release-please-config.json @@ -0,0 +1,72 @@ +{ + "packages": { + ".": {} + }, + "$schema": "https://raw.githubusercontent.com/stainless-api/release-please/main/schemas/config.json", + "include-v-in-tag": true, + "include-component-in-tag": false, + "versioning": "prerelease", + "prerelease": true, + "bump-minor-pre-major": true, + "bump-patch-for-minor-pre-major": false, + "pull-request-header": "Automated Release PR", + "pull-request-title-pattern": "release: ${version}", + "changelog-sections": [ + { + "type": "feat", + "section": "Features" + }, + { + "type": "fix", + "section": "Bug Fixes" + }, + { + "type": "perf", + "section": "Performance Improvements" + }, + { + "type": "revert", + "section": "Reverts" + }, + { + "type": "chore", + "section": "Chores" + }, + { + "type": "docs", + "section": "Documentation" + }, + { + "type": "style", + "section": "Styles" + }, + { + "type": "refactor", + "section": "Refactors" + }, + { + "type": "test", + "section": "Tests", + "hidden": true + }, + { + "type": "build", + "section": "Build System" + }, + { + "type": "ci", + "section": "Continuous Integration", + "hidden": true + } + ], + "release-type": "node", + "extra-files": [ + "src/version.ts", + "README.md", + { + "type": "json", + "path": "jsr.json", + "jsonpath": "$.version" + } + ] +} diff --git a/scripts/bootstrap b/scripts/bootstrap new file mode 100755 index 000000000..f107c3a24 --- /dev/null +++ b/scripts/bootstrap @@ -0,0 +1,21 @@ +#!/usr/bin/env bash + +set -e + +cd "$(dirname "$0")/.." + +if [ -f "Brewfile" ] && [ "$(uname -s)" = "Darwin" ] && [ "$SKIP_BREW" != "1" ]; then + brew bundle check >/dev/null 2>&1 || { + echo "==> Installing Homebrew dependencies…" + brew bundle + } +fi + +echo "==> Installing Node dependencies…" + +PACKAGE_MANAGER=$(command -v yarn >/dev/null 2>&1 && echo "yarn" || echo "npm") + +$PACKAGE_MANAGER install + +cd "$(dirname "$0")/../examples" +$PACKAGE_MANAGER install \ No newline at end of file diff --git a/scripts/build b/scripts/build new file mode 100755 index 000000000..4e86f99e2 --- /dev/null +++ b/scripts/build @@ -0,0 +1,56 @@ +#!/usr/bin/env bash + +set -exuo pipefail + +cd "$(dirname "$0")/.." + +node scripts/utils/check-version.cjs + +# Build into dist and will publish the package from there, +# so that src/resources/foo.ts becomes /resources/foo.js +# This way importing from `"openai/resources/foo"` works +# even with `"moduleResolution": "node"` + +rm -rf dist; mkdir dist +# Copy src to dist/src and build from dist/src into dist, so that +# the source map for index.js.map will refer to ./src/index.ts etc +cp -rp src README.md dist +rm dist/src/_shims/*-deno.ts dist/src/_shims/auto/*-deno.ts +for file in LICENSE CHANGELOG.md; do + if [ -e "${file}" ]; then cp "${file}" dist; fi +done +if [ -e "bin/cli" ]; then + mkdir dist/bin + cp -p "bin/cli" dist/bin/; +fi +# this converts the export map paths for the dist directory +# and does a few other minor things +node scripts/utils/make-dist-package-json.cjs > dist/package.json + +# build to .js/.mjs/.d.ts files +npm exec tsc-multi +# copy over handwritten .js/.mjs/.d.ts files +cp src/_shims/*.{d.ts,js,mjs,md} dist/_shims +cp src/_shims/auto/*.{d.ts,js,mjs} dist/_shims/auto +# we need to add exports = module.exports = OpenAI to index.js; +# No way to get that from index.ts because it would cause compile errors +# when building .mjs +node scripts/utils/fix-index-exports.cjs +# with "moduleResolution": "nodenext", if ESM resolves to index.d.ts, +# it'll have TS errors on the default import. But if it resolves to +# index.d.mts the default import will work (even though both files have +# the same export default statement) +cp dist/index.d.ts dist/index.d.mts +cp tsconfig.dist-src.json dist/src/tsconfig.json + +node scripts/utils/postprocess-files.cjs + +# make sure that nothing crashes when we require the output CJS or +# import the output ESM +(cd dist && node -e 'require("openai")') +(cd dist && node -e 'import("openai")' --input-type=module) + +if [ "${OPENAI_DISABLE_DENO_BUILD:-0}" != "1" ] && [ -e ./scripts/build-deno ] +then + ./scripts/build-deno +fi diff --git a/scripts/build-deno b/scripts/build-deno new file mode 100755 index 000000000..bce31078e --- /dev/null +++ b/scripts/build-deno @@ -0,0 +1,29 @@ +#!/usr/bin/env bash + +set -exuo pipefail + +cd "$(dirname "$0")/.." + +rm -rf dist-deno; mkdir dist-deno +cp -rp src/* jsr.json dist-deno + +rm -rf dist-deno/shims + +rm dist-deno/_shims/node*.{js,mjs,ts} +rm dist-deno/_shims/manual*.{js,mjs,ts} +rm dist-deno/_shims/index.{d.ts,js,mjs} +for file in dist-deno/_shims/*-deno.ts; do + mv -- "$file" "${file%-deno.ts}.ts" +done + +rm dist-deno/_shims/auto/*-node.ts +rm dist-deno/_shims/auto/*.{d.ts,js,mjs} +for file in dist-deno/_shims/auto/*-deno.ts; do + mv -- "$file" "${file%-deno.ts}.ts" +done + +for file in README.md LICENSE CHANGELOG.md; do + if [ -e "${file}" ]; then cp "${file}" dist-deno; fi +done + +node scripts/utils/convert-jsr-readme.cjs ./dist-deno/README.md diff --git a/scripts/format b/scripts/format new file mode 100755 index 000000000..a6bb9d03a --- /dev/null +++ b/scripts/format @@ -0,0 +1,8 @@ +#!/usr/bin/env bash + +set -e + +cd "$(dirname "$0")/.." + +echo "==> Running eslint --fix" +ESLINT_USE_FLAT_CONFIG="false" ./node_modules/.bin/eslint --fix --ext ts,js . diff --git a/scripts/lint b/scripts/lint new file mode 100755 index 000000000..6ba75dfb5 --- /dev/null +++ b/scripts/lint @@ -0,0 +1,11 @@ +#!/usr/bin/env bash + +set -e + +cd "$(dirname "$0")/.." + +echo "==> Running eslint" +ESLINT_USE_FLAT_CONFIG="false" ./node_modules/.bin/eslint --ext ts,js . + +echo "==> Running tsc" +./node_modules/.bin/tsc --noEmit diff --git a/scripts/mock b/scripts/mock new file mode 100755 index 000000000..d2814ae6a --- /dev/null +++ b/scripts/mock @@ -0,0 +1,41 @@ +#!/usr/bin/env bash + +set -e + +cd "$(dirname "$0")/.." + +if [[ -n "$1" && "$1" != '--'* ]]; then + URL="$1" + shift +else + URL="$(grep 'openapi_spec_url' .stats.yml | cut -d' ' -f2)" +fi + +# Check if the URL is empty +if [ -z "$URL" ]; then + echo "Error: No OpenAPI spec path/url provided or found in .stats.yml" + exit 1 +fi + +echo "==> Starting mock server with URL ${URL}" + +# Run prism mock on the given spec +if [ "$1" == "--daemon" ]; then + npm exec --package=@stainless-api/prism-cli@5.8.5 -- prism mock "$URL" &> .prism.log & + + # Wait for server to come online + echo -n "Waiting for server" + while ! grep -q "✖ fatal\|Prism is listening" ".prism.log" ; do + echo -n "." + sleep 0.1 + done + + if grep -q "✖ fatal" ".prism.log"; then + cat .prism.log + exit 1 + fi + + echo +else + npm exec --package=@stainless-api/prism-cli@5.8.5 -- prism mock "$URL" +fi diff --git a/scripts/test b/scripts/test new file mode 100755 index 000000000..2049e31b0 --- /dev/null +++ b/scripts/test @@ -0,0 +1,56 @@ +#!/usr/bin/env bash + +set -e + +cd "$(dirname "$0")/.." + +RED='\033[0;31m' +GREEN='\033[0;32m' +YELLOW='\033[0;33m' +NC='\033[0m' # No Color + +function prism_is_running() { + curl --silent "http://localhost:4010/" >/dev/null 2>&1 +} + +kill_server_on_port() { + pids=$(lsof -t -i tcp:"$1" || echo "") + if [ "$pids" != "" ]; then + kill "$pids" + echo "Stopped $pids." + fi +} + +function is_overriding_api_base_url() { + [ -n "$TEST_API_BASE_URL" ] +} + +if ! is_overriding_api_base_url && ! prism_is_running ; then + # When we exit this script, make sure to kill the background mock server process + trap 'kill_server_on_port 4010' EXIT + + # Start the dev server + ./scripts/mock --daemon +fi + +if is_overriding_api_base_url ; then + echo -e "${GREEN}✔ Running tests against ${TEST_API_BASE_URL}${NC}" + echo +elif ! prism_is_running ; then + echo -e "${RED}ERROR:${NC} The test suite will not run without a mock Prism server" + echo -e "running against your OpenAPI spec." + echo + echo -e "To run the server, pass in the path or url of your OpenAPI" + echo -e "spec to the prism command:" + echo + echo -e " \$ ${YELLOW}npm exec --package=@stoplight/prism-cli@~5.3.2 -- prism mock path/to/your.openapi.yml${NC}" + echo + + exit 1 +else + echo -e "${GREEN}✔ Mock prism server is running with your OpenAPI spec${NC}" + echo +fi + +echo "==> Running tests" +./node_modules/.bin/jest "$@" diff --git a/scripts/utils/check-is-in-git-install.sh b/scripts/utils/check-is-in-git-install.sh new file mode 100755 index 000000000..1354eb432 --- /dev/null +++ b/scripts/utils/check-is-in-git-install.sh @@ -0,0 +1,9 @@ +#!/usr/bin/env bash +# Check if you happen to call prepare for a repository that's already in node_modules. +[ "$(basename "$(dirname "$PWD")")" = 'node_modules' ] || +# The name of the containing directory that 'npm` uses, which looks like +# $HOME/.npm/_cacache/git-cloneXXXXXX +[ "$(basename "$(dirname "$PWD")")" = 'tmp' ] || +# The name of the containing directory that 'yarn` uses, which looks like +# $(yarn cache dir)/.tmp/XXXXX +[ "$(basename "$(dirname "$PWD")")" = '.tmp' ] diff --git a/scripts/utils/check-version.cjs b/scripts/utils/check-version.cjs new file mode 100644 index 000000000..86c56dfd3 --- /dev/null +++ b/scripts/utils/check-version.cjs @@ -0,0 +1,20 @@ +const fs = require('fs'); +const path = require('path'); + +const main = () => { + const pkg = require('../../package.json'); + const version = pkg['version']; + if (!version) throw 'The version property is not set in the package.json file'; + if (typeof version !== 'string') { + throw `Unexpected type for the package.json version field; got ${typeof version}, expected string`; + } + + const versionFile = path.resolve(__dirname, '..', '..', 'src', 'version.ts'); + const contents = fs.readFileSync(versionFile, 'utf8'); + const output = contents.replace(/(export const VERSION = ')(.*)(')/g, `$1${version}$3`); + fs.writeFileSync(versionFile, output); +}; + +if (require.main === module) { + main(); +} diff --git a/scripts/utils/convert-jsr-readme.cjs b/scripts/utils/convert-jsr-readme.cjs new file mode 100644 index 000000000..f9d089c73 --- /dev/null +++ b/scripts/utils/convert-jsr-readme.cjs @@ -0,0 +1,140 @@ +const fs = require('fs'); +const { parse } = require('@typescript-eslint/parser'); +const { TSError } = require('@typescript-eslint/typescript-estree'); + +/** + * Quick and dirty AST traversal + */ +function traverse(node, visitor) { + if (!node || typeof node.type !== 'string') return; + visitor.node?.(node); + visitor[node.type]?.(node); + for (const key in node) { + const value = node[key]; + if (Array.isArray(value)) { + for (const elem of value) traverse(elem, visitor); + } else if (value instanceof Object) { + traverse(value, visitor); + } + } +} + +/** + * Helper method for replacing arbitrary ranges of text in input code. + */ +function replaceRanges(code, replacer) { + const replacements = []; + replacer({ replace: (range, replacement) => replacements.push({ range, replacement }) }); + + if (!replacements.length) return code; + replacements.sort((a, b) => a.range[0] - b.range[0]); + const overlapIndex = replacements.findIndex( + (r, index) => index > 0 && replacements[index - 1].range[1] > r.range[0], + ); + if (overlapIndex >= 0) { + throw new Error( + `replacements overlap: ${JSON.stringify(replacements[overlapIndex - 1])} and ${JSON.stringify( + replacements[overlapIndex], + )}`, + ); + } + + const parts = []; + let end = 0; + for (const { + range: [from, to], + replacement, + } of replacements) { + if (from > end) parts.push(code.substring(end, from)); + parts.push(replacement); + end = to; + } + if (end < code.length) parts.push(code.substring(end)); + return parts.join(''); +} + +function replaceProcessEnv(content) { + // Replace process.env['KEY'] and process.env.KEY with Deno.env.get('KEY') + return content.replace(/process\.env(?:\.|\[['"])(.+?)(?:['"]\])/g, "Deno.env.get('$1')"); +} + +function replaceProcessStdout(content) { + return content.replace(/process\.stdout.write\(([^)]+)\)/g, 'Deno.stdout.writeSync($1)'); +} + +function replaceInstallationDirections(content) { + // Remove npm installation section + return content.replace(/```sh\nnpm install.*?\n```.*### Installation from JSR\n\n/s, ''); +} + +/** + * Maps over module paths in imports and exports + */ +function replaceImports(code, config) { + try { + const ast = parse(code, { sourceType: 'module', range: true }); + return replaceRanges(code, ({ replace }) => + traverse(ast, { + node(node) { + switch (node.type) { + case 'ImportDeclaration': + case 'ExportNamedDeclaration': + case 'ExportAllDeclaration': + case 'ImportExpression': + if (node.source) { + const { range, value } = node.source; + if (value.startsWith(config.npm)) { + replace(range, JSON.stringify(value.replace(config.npm, config.jsr))); + } + } + } + }, + }), + ); + } catch (e) { + if (e instanceof TSError) { + // This can error if the code block is not valid TS, in this case give up trying to transform the imports. + console.warn(`Original codeblock could not be parsed, replace import skipped: ${e}\n\n${code}`); + return code; + } + throw e; + } +} + +function processReadme(config, file) { + try { + let readmeContent = fs.readFileSync(file, 'utf8'); + + // First replace installation directions + readmeContent = replaceInstallationDirections(readmeContent); + + // Replace content in all code blocks with a single regex + readmeContent = readmeContent.replaceAll( + /```(?:typescript|ts|javascript|js)\n([\s\S]*?)```/g, + (match, codeBlock) => { + try { + let transformedCode = codeBlock.trim(); + transformedCode = replaceImports(transformedCode, config); + transformedCode = replaceProcessEnv(transformedCode); + transformedCode = replaceProcessStdout(transformedCode); + return '```typescript\n' + transformedCode + '\n```'; + } catch (error) { + console.warn(`Failed to transform code block: ${error}\n\n${codeBlock}`); + return match; // Return original code block if transformation fails + } + }, + ); + + fs.writeFileSync(file, readmeContent); + } catch (error) { + console.error('Error processing README:', error); + throw error; + } +} + +const config = { + npm: 'openai', + jsr: '@openai/openai', +}; + +processReadme(config, process.argv[2]); diff --git a/scripts/utils/fix-index-exports.cjs b/scripts/utils/fix-index-exports.cjs new file mode 100644 index 000000000..ee5cebb85 --- /dev/null +++ b/scripts/utils/fix-index-exports.cjs @@ -0,0 +1,14 @@ +const fs = require('fs'); +const path = require('path'); + +const indexJs = + process.env['DIST_PATH'] ? + path.resolve(process.env['DIST_PATH'], 'index.js') + : path.resolve(__dirname, '..', '..', 'dist', 'index.js'); + +let before = fs.readFileSync(indexJs, 'utf8'); +let after = before.replace( + /^\s*exports\.default\s*=\s*(\w+)/m, + 'exports = module.exports = $1;\nmodule.exports.AzureOpenAI = AzureOpenAI;\nexports.default = $1', +); +fs.writeFileSync(indexJs, after, 'utf8'); diff --git a/scripts/utils/git-swap.sh b/scripts/utils/git-swap.sh new file mode 100755 index 000000000..79d1888eb --- /dev/null +++ b/scripts/utils/git-swap.sh @@ -0,0 +1,13 @@ +#!/usr/bin/env bash +set -exuo pipefail +# the package is published to NPM from ./dist +# we want the final file structure for git installs to match the npm installs, so we + +# delete everything except ./dist and ./node_modules +find . -maxdepth 1 -mindepth 1 ! -name 'dist' ! -name 'node_modules' -exec rm -rf '{}' + + +# move everything from ./dist to . +mv dist/* . + +# delete the now-empty ./dist +rmdir dist diff --git a/scripts/utils/make-dist-package-json.cjs b/scripts/utils/make-dist-package-json.cjs new file mode 100644 index 000000000..7c24f56e2 --- /dev/null +++ b/scripts/utils/make-dist-package-json.cjs @@ -0,0 +1,21 @@ +const pkgJson = require(process.env['PKG_JSON_PATH'] || '../../package.json'); + +function processExportMap(m) { + for (const key in m) { + const value = m[key]; + if (typeof value === 'string') m[key] = value.replace(/^\.\/dist\//, './'); + else processExportMap(value); + } +} +processExportMap(pkgJson.exports); + +for (const key of ['types', 'main', 'module']) { + if (typeof pkgJson[key] === 'string') pkgJson[key] = pkgJson[key].replace(/^(\.\/)?dist\//, './'); +} + +delete pkgJson.devDependencies; +delete pkgJson.scripts.prepack; +delete pkgJson.scripts.prepublishOnly; +delete pkgJson.scripts.prepare; + +console.log(JSON.stringify(pkgJson, null, 2)); diff --git a/scripts/utils/postprocess-files.cjs b/scripts/utils/postprocess-files.cjs new file mode 100644 index 000000000..c46a46d07 --- /dev/null +++ b/scripts/utils/postprocess-files.cjs @@ -0,0 +1,165 @@ +const fs = require('fs'); +const path = require('path'); +const { parse } = require('@typescript-eslint/parser'); + +const pkgImportPath = process.env['PKG_IMPORT_PATH'] ?? 'openai/'; + +const distDir = + process.env['DIST_PATH'] ? + path.resolve(process.env['DIST_PATH']) + : path.resolve(__dirname, '..', '..', 'dist'); +const distSrcDir = path.join(distDir, 'src'); + +/** + * Quick and dirty AST traversal + */ +function traverse(node, visitor) { + if (!node || typeof node.type !== 'string') return; + visitor.node?.(node); + visitor[node.type]?.(node); + for (const key in node) { + const value = node[key]; + if (Array.isArray(value)) { + for (const elem of value) traverse(elem, visitor); + } else if (value instanceof Object) { + traverse(value, visitor); + } + } +} + +/** + * Helper method for replacing arbitrary ranges of text in input code. + * + * The `replacer` is a function that will be called with a mini-api. For example: + * + * replaceRanges('foobar', ({ replace }) => replace([0, 3], 'baz')) // 'bazbar' + * + * The replaced ranges must not be overlapping. + */ +function replaceRanges(code, replacer) { + const replacements = []; + replacer({ replace: (range, replacement) => replacements.push({ range, replacement }) }); + + if (!replacements.length) return code; + replacements.sort((a, b) => a.range[0] - b.range[0]); + const overlapIndex = replacements.findIndex( + (r, index) => index > 0 && replacements[index - 1].range[1] > r.range[0], + ); + if (overlapIndex >= 0) { + throw new Error( + `replacements overlap: ${JSON.stringify(replacements[overlapIndex - 1])} and ${JSON.stringify( + replacements[overlapIndex], + )}`, + ); + } + + const parts = []; + let end = 0; + for (const { + range: [from, to], + replacement, + } of replacements) { + if (from > end) parts.push(code.substring(end, from)); + parts.push(replacement); + end = to; + } + if (end < code.length) parts.push(code.substring(end)); + return parts.join(''); +} + +/** + * Like calling .map(), where the iteratee is called on the path in every import or export from statement. + * @returns the transformed code + */ +function mapModulePaths(code, iteratee) { + const ast = parse(code, { range: true }); + return replaceRanges(code, ({ replace }) => + traverse(ast, { + node(node) { + switch (node.type) { + case 'ImportDeclaration': + case 'ExportNamedDeclaration': + case 'ExportAllDeclaration': + case 'ImportExpression': + if (node.source) { + const { range, value } = node.source; + const transformed = iteratee(value); + if (transformed !== value) { + replace(range, JSON.stringify(transformed)); + } + } + } + }, + }), + ); +} + +async function* walk(dir) { + for await (const d of await fs.promises.opendir(dir)) { + const entry = path.join(dir, d.name); + if (d.isDirectory()) yield* walk(entry); + else if (d.isFile()) yield entry; + } +} + +async function postprocess() { + for await (const file of walk(path.resolve(__dirname, '..', '..', 'dist'))) { + if (!/\.([cm]?js|(\.d)?[cm]?ts)$/.test(file)) continue; + + const code = await fs.promises.readFile(file, 'utf8'); + + let transformed = mapModulePaths(code, (importPath) => { + if (file.startsWith(distSrcDir)) { + if (importPath.startsWith(pkgImportPath)) { + // convert self-references in dist/src to relative paths + let relativePath = path.relative( + path.dirname(file), + path.join(distSrcDir, importPath.substring(pkgImportPath.length)), + ); + if (!relativePath.startsWith('.')) relativePath = `./${relativePath}`; + return relativePath; + } + return importPath; + } + if (importPath.startsWith('.')) { + // add explicit file extensions to relative imports + const { dir, name } = path.parse(importPath); + const ext = /\.mjs$/.test(file) ? '.mjs' : '.js'; + return `${dir}/${name}${ext}`; + } + return importPath; + }); + + if (file.startsWith(distSrcDir) && !file.endsWith('_shims/index.d.ts')) { + // strip out `unknown extends Foo ? never :` shim guards in dist/src + // to prevent errors from appearing in Go To Source + transformed = transformed.replace( + new RegExp('unknown extends (typeof )?\\S+ \\? \\S+ :\\s*'.replace(/\s+/, '\\s+'), 'gm'), + // replace with same number of characters to avoid breaking source maps + (match) => ' '.repeat(match.length), + ); + } + + if (file.endsWith('.d.ts')) { + // work around bad tsc behavior + // if we have `import { type Readable } from 'openai/_shims/index'`, + // tsc sometimes replaces `Readable` with `import("stream").Readable` inline + // in the output .d.ts + transformed = transformed.replace(/import\("stream"\).Readable/g, 'Readable'); + } + + // strip out lib="dom" and types="node" references; these are needed at build time, + // but would pollute the user's TS environment + transformed = transformed.replace( + /^ *\/\/\/ * ' '.repeat(match.length - 1) + '\n', + ); + + if (transformed !== code) { + await fs.promises.writeFile(file, transformed, 'utf8'); + console.error(`wrote ${path.relative(process.cwd(), file)}`); + } + } +} +postprocess(); diff --git a/scripts/utils/upload-artifact.sh b/scripts/utils/upload-artifact.sh new file mode 100755 index 000000000..0e8490199 --- /dev/null +++ b/scripts/utils/upload-artifact.sh @@ -0,0 +1,25 @@ +#!/usr/bin/env bash +set -exuo pipefail + +RESPONSE=$(curl -X POST "$URL" \ + -H "Authorization: Bearer $AUTH" \ + -H "Content-Type: application/json") + +SIGNED_URL=$(echo "$RESPONSE" | jq -r '.url') + +if [[ "$SIGNED_URL" == "null" ]]; then + echo -e "\033[31mFailed to get signed URL.\033[0m" + exit 1 +fi + +UPLOAD_RESPONSE=$(tar -cz dist | curl -v -X PUT \ + -H "Content-Type: application/gzip" \ + --data-binary @- "$SIGNED_URL" 2>&1) + +if echo "$UPLOAD_RESPONSE" | grep -q "HTTP/[0-9.]* 200"; then + echo -e "\033[32mUploaded build to Stainless storage.\033[0m" + echo -e "\033[32mInstallation: npm install 'https://pkg.stainless.com/s/openai-node/$SHA'\033[0m" +else + echo -e "\033[31mFailed to upload artifact.\033[0m" + exit 1 +fi diff --git a/src/_shims/MultipartBody.ts b/src/_shims/MultipartBody.ts new file mode 100644 index 000000000..af3b11188 --- /dev/null +++ b/src/_shims/MultipartBody.ts @@ -0,0 +1,9 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ +export class MultipartBody { + constructor(public body: any) {} + get [Symbol.toStringTag](): string { + return 'MultipartBody'; + } +} diff --git a/src/_shims/README.md b/src/_shims/README.md new file mode 100644 index 000000000..b3a349b41 --- /dev/null +++ b/src/_shims/README.md @@ -0,0 +1,46 @@ +# 👋 Wondering what everything in here does? + +`openai` supports a wide variety of runtime environments like Node.js, Deno, Bun, browsers, and various +edge runtimes, as well as both CommonJS (CJS) and EcmaScript Modules (ESM). + +To do this, `openai` provides shims for either using `node-fetch` when in Node (because `fetch` is still experimental there) or the global `fetch` API built into the environment when not in Node. + +It uses [conditional exports](https://nodejs.org/api/packages.html#conditional-exports) to +automatically select the correct shims for each environment. However, conditional exports are a fairly new +feature and not supported everywhere. For instance, the TypeScript `"moduleResolution": "node"` + +setting doesn't consult the `exports` map, compared to `"moduleResolution": "nodeNext"`, which does. +Unfortunately that's still the default setting, and it can result in errors like +getting the wrong raw `Response` type from `.asResponse()`, for example. + +The user can work around these issues by manually importing one of: + +- `import 'openai/shims/node'` +- `import 'openai/shims/web'` + +All of the code here in `_shims` handles selecting the automatic default shims or manual overrides. + +### How it works - Runtime + +Runtime shims get installed by calling `setShims` exported by `openai/_shims/registry`. + +Manually importing `openai/shims/node` or `openai/shims/web`, calls `setShims` with the respective runtime shims. + +All client code imports shims from `openai/_shims/index`, which: + +- checks if shims have been set manually +- if not, calls `setShims` with the shims from `openai/_shims/auto/runtime` +- re-exports the installed shims from `openai/_shims/registry`. + +`openai/_shims/auto/runtime` exports web runtime shims. +If the `node` export condition is set, the export map replaces it with `openai/_shims/auto/runtime-node`. + +### How it works - Type time + +All client code imports shim types from `openai/_shims/index`, which selects the manual types from `openai/_shims/manual-types` if they have been declared, otherwise it exports the auto types from `openai/_shims/auto/types`. + +`openai/_shims/manual-types` exports an empty namespace. +Manually importing `openai/shims/node` or `openai/shims/web` merges declarations into this empty namespace, so they get picked up by `openai/_shims/index`. + +`openai/_shims/auto/types` exports web type definitions. +If the `node` export condition is set, the export map replaces it with `openai/_shims/auto/types-node`, though TS only picks this up if `"moduleResolution": "nodenext"` or `"moduleResolution": "bundler"`. diff --git a/src/_shims/auto/runtime-bun.ts b/src/_shims/auto/runtime-bun.ts new file mode 100644 index 000000000..e053254b3 --- /dev/null +++ b/src/_shims/auto/runtime-bun.ts @@ -0,0 +1,4 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ +export * from '../bun-runtime'; diff --git a/src/_shims/auto/runtime-deno.ts b/src/_shims/auto/runtime-deno.ts new file mode 100644 index 000000000..62b7a39ee --- /dev/null +++ b/src/_shims/auto/runtime-deno.ts @@ -0,0 +1,4 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ +export * from '../web-runtime'; diff --git a/src/_shims/auto/runtime-node.ts b/src/_shims/auto/runtime-node.ts new file mode 100644 index 000000000..0ae2216fe --- /dev/null +++ b/src/_shims/auto/runtime-node.ts @@ -0,0 +1,4 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ +export * from '../node-runtime'; diff --git a/src/_shims/auto/runtime.ts b/src/_shims/auto/runtime.ts new file mode 100644 index 000000000..62b7a39ee --- /dev/null +++ b/src/_shims/auto/runtime.ts @@ -0,0 +1,4 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ +export * from '../web-runtime'; diff --git a/src/_shims/auto/types-deno.ts b/src/_shims/auto/types-deno.ts new file mode 100644 index 000000000..226fb15a0 --- /dev/null +++ b/src/_shims/auto/types-deno.ts @@ -0,0 +1,4 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ +export * from '../web-types'; diff --git a/src/_shims/auto/types-node.ts b/src/_shims/auto/types-node.ts new file mode 100644 index 000000000..2625a8b70 --- /dev/null +++ b/src/_shims/auto/types-node.ts @@ -0,0 +1,4 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ +export * from '../node-types'; diff --git a/src/_shims/auto/types.d.ts b/src/_shims/auto/types.d.ts new file mode 100644 index 000000000..d7755070b --- /dev/null +++ b/src/_shims/auto/types.d.ts @@ -0,0 +1,101 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ +export type Agent = any; + +// @ts-ignore +declare const _fetch: unknown extends typeof fetch ? never : typeof fetch; +export { _fetch as fetch }; + +// @ts-ignore +type _Request = unknown extends Request ? never : Request; +export { _Request as Request }; + +// @ts-ignore +type _RequestInfo = unknown extends RequestInfo ? never : RequestInfo; +export { type _RequestInfo as RequestInfo }; + +// @ts-ignore +type _RequestInit = unknown extends RequestInit ? never : RequestInit; +export { type _RequestInit as RequestInit }; + +// @ts-ignore +type _Response = unknown extends Response ? never : Response; +export { _Response as Response }; + +// @ts-ignore +type _ResponseInit = unknown extends ResponseInit ? never : ResponseInit; +export { type _ResponseInit as ResponseInit }; + +// @ts-ignore +type _ResponseType = unknown extends ResponseType ? never : ResponseType; +export { type _ResponseType as ResponseType }; + +// @ts-ignore +type _BodyInit = unknown extends BodyInit ? never : BodyInit; +export { type _BodyInit as BodyInit }; + +// @ts-ignore +type _Headers = unknown extends Headers ? never : Headers; +export { _Headers as Headers }; + +// @ts-ignore +type _HeadersInit = unknown extends HeadersInit ? never : HeadersInit; +export { type _HeadersInit as HeadersInit }; + +type EndingType = 'native' | 'transparent'; + +export interface BlobPropertyBag { + endings?: EndingType; + type?: string; +} + +export interface FilePropertyBag extends BlobPropertyBag { + lastModified?: number; +} + +export type FileFromPathOptions = Omit; + +// @ts-ignore +type _FormData = unknown extends FormData ? never : FormData; +// @ts-ignore +declare const _FormData: unknown extends typeof FormData ? never : typeof FormData; +export { _FormData as FormData }; + +// @ts-ignore +type _File = unknown extends File ? never : File; +// @ts-ignore +declare const _File: unknown extends typeof File ? never : typeof File; +export { _File as File }; + +// @ts-ignore +type _Blob = unknown extends Blob ? never : Blob; +// @ts-ignore +declare const _Blob: unknown extends typeof Blob ? never : typeof Blob; +export { _Blob as Blob }; + +export declare class Readable { + readable: boolean; + readonly readableEnded: boolean; + readonly readableFlowing: boolean | null; + readonly readableHighWaterMark: number; + readonly readableLength: number; + readonly readableObjectMode: boolean; + destroyed: boolean; + read(size?: number): any; + pause(): this; + resume(): this; + isPaused(): boolean; + destroy(error?: Error): this; + [Symbol.asyncIterator](): AsyncIterableIterator; +} + +export declare class FsReadStream extends Readable { + path: {}; // node type is string | Buffer +} + +// @ts-ignore +type _ReadableStream = unknown extends ReadableStream ? never : ReadableStream; +// @ts-ignore +declare const _ReadableStream: unknown extends typeof ReadableStream ? never : typeof ReadableStream; +export { _ReadableStream as ReadableStream }; diff --git a/src/_shims/auto/types.js b/src/_shims/auto/types.js new file mode 100644 index 000000000..ddbdb799c --- /dev/null +++ b/src/_shims/auto/types.js @@ -0,0 +1,3 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ diff --git a/src/_shims/auto/types.mjs b/src/_shims/auto/types.mjs new file mode 100644 index 000000000..ddbdb799c --- /dev/null +++ b/src/_shims/auto/types.mjs @@ -0,0 +1,3 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ diff --git a/src/_shims/bun-runtime.ts b/src/_shims/bun-runtime.ts new file mode 100644 index 000000000..8d5aaab0c --- /dev/null +++ b/src/_shims/bun-runtime.ts @@ -0,0 +1,14 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ +import { type Shims } from './registry'; +import { getRuntime as getWebRuntime } from './web-runtime'; +import { ReadStream as FsReadStream } from 'node:fs'; + +export function getRuntime(): Shims { + const runtime = getWebRuntime(); + function isFsReadStream(value: any): value is FsReadStream { + return value instanceof FsReadStream; + } + return { ...runtime, isFsReadStream }; +} diff --git a/src/_shims/index-deno.ts b/src/_shims/index-deno.ts new file mode 100644 index 000000000..e83c7a6d3 --- /dev/null +++ b/src/_shims/index-deno.ts @@ -0,0 +1,112 @@ +import { MultipartBody } from './MultipartBody'; +import { type RequestOptions } from '../core'; + +export const kind: string = 'web'; + +export type Agent = any; + +const _fetch = fetch; +type _fetch = typeof fetch; +export { _fetch as fetch }; + +const _Request = Request; +type _Request = Request; +export { _Request as Request }; + +type _RequestInfo = RequestInfo; +export { type _RequestInfo as RequestInfo }; + +type _RequestInit = RequestInit; +export { type _RequestInit as RequestInit }; + +const _Response = Response; +type _Response = Response; +export { _Response as Response }; + +type _ResponseInit = ResponseInit; +export { type _ResponseInit as ResponseInit }; + +type _ResponseType = ResponseType; +export { type _ResponseType as ResponseType }; + +type _BodyInit = BodyInit; +export { type _BodyInit as BodyInit }; + +const _Headers = Headers; +type _Headers = Headers; +export { _Headers as Headers }; + +type _HeadersInit = HeadersInit; +export { type _HeadersInit as HeadersInit }; + +type EndingType = 'native' | 'transparent'; + +export interface BlobPropertyBag { + endings?: EndingType; + type?: string; +} + +export interface FilePropertyBag extends BlobPropertyBag { + lastModified?: number; +} + +export type FileFromPathOptions = Omit; + +const _FormData = FormData; +type _FormData = FormData; +export { _FormData as FormData }; + +const _File = File; +type _File = File; +export { _File as File }; + +const _Blob = Blob; +type _Blob = Blob; +export { _Blob as Blob }; + +export async function getMultipartRequestOptions>( + form: FormData, + opts: RequestOptions, +): Promise> { + return { + ...opts, + body: new MultipartBody(form) as any, + }; +} + +export function getDefaultAgent(url: string) { + return undefined; +} +export function fileFromPath() { + throw new Error( + 'The `fileFromPath` function is only supported in Node. See the README for more details: https://www.github.com/openai/openai-node#file-uploads', + ); +} + +export const isFsReadStream = (value: any) => false; + +export declare class Readable { + readable: boolean; + readonly readableEnded: boolean; + readonly readableFlowing: boolean | null; + readonly readableHighWaterMark: number; + readonly readableLength: number; + readonly readableObjectMode: boolean; + destroyed: boolean; + read(size?: number): any; + pause(): this; + resume(): this; + isPaused(): boolean; + destroy(error?: Error): this; + [Symbol.asyncIterator](): AsyncIterableIterator; +} + +export declare class FsReadStream extends Readable { + path: {}; // node type is string | Buffer +} + +const _ReadableStream = ReadableStream; +type _ReadableStream = ReadableStream; +export { _ReadableStream as ReadableStream }; + +export const init = () => {}; diff --git a/src/_shims/index.d.ts b/src/_shims/index.d.ts new file mode 100644 index 000000000..107cf7fd6 --- /dev/null +++ b/src/_shims/index.d.ts @@ -0,0 +1,83 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ +import { manual } from './manual-types'; +import * as auto from 'openai/_shims/auto/types'; +import { type RequestOptions } from '../core'; + +type SelectType = unknown extends Manual ? Auto : Manual; + +export const kind: string; + +// @ts-ignore +export type Agent = SelectType; + +// @ts-ignore +export const fetch: SelectType; + +// @ts-ignore +export type Request = SelectType; +// @ts-ignore +export type RequestInfo = SelectType; +// @ts-ignore +export type RequestInit = SelectType; + +// @ts-ignore +export type Response = SelectType; +// @ts-ignore +export type ResponseInit = SelectType; +// @ts-ignore +export type ResponseType = SelectType; +// @ts-ignore +export type BodyInit = SelectType; +// @ts-ignore +export type Headers = SelectType; +// @ts-ignore +export const Headers: SelectType; +// @ts-ignore +export type HeadersInit = SelectType; + +// @ts-ignore +export type BlobPropertyBag = SelectType; +// @ts-ignore +export type FilePropertyBag = SelectType; +// @ts-ignore +export type FileFromPathOptions = SelectType; +// @ts-ignore +export type FormData = SelectType; +// @ts-ignore +export const FormData: SelectType; +// @ts-ignore +export type File = SelectType; +// @ts-ignore +export const File: SelectType; +// @ts-ignore +export type Blob = SelectType; +// @ts-ignore +export const Blob: SelectType; + +// @ts-ignore +export type Readable = SelectType; +// @ts-ignore +export type FsReadStream = SelectType; +// @ts-ignore +export type ReadableStream = SelectType; +// @ts-ignore +export const ReadableStream: SelectType; + +export function getMultipartRequestOptions>( + form: FormData, + opts: RequestOptions, +): Promise>; + +export function getDefaultAgent(url: string): any; + +// @ts-ignore +export type FileFromPathOptions = SelectType; + +export function fileFromPath(path: string, options?: FileFromPathOptions): Promise; +export function fileFromPath(path: string, filename?: string, options?: FileFromPathOptions): Promise; + +export function isFsReadStream(value: any): value is FsReadStream; + +export const init: () => void; diff --git a/src/_shims/index.js b/src/_shims/index.js new file mode 100644 index 000000000..959f2b9ce --- /dev/null +++ b/src/_shims/index.js @@ -0,0 +1,17 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ +const shims = require('./registry'); +const auto = require('openai/_shims/auto/runtime'); +exports.init = () => { + if (!shims.kind) shims.setShims(auto.getRuntime(), { auto: true }); +}; +for (const property of Object.keys(shims)) { + Object.defineProperty(exports, property, { + get() { + return shims[property]; + }, + }); +} + +exports.init(); diff --git a/src/_shims/index.mjs b/src/_shims/index.mjs new file mode 100644 index 000000000..26d7a716c --- /dev/null +++ b/src/_shims/index.mjs @@ -0,0 +1,11 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ +import * as shims from './registry.mjs'; +import * as auto from 'openai/_shims/auto/runtime'; +export const init = () => { + if (!shims.kind) shims.setShims(auto.getRuntime(), { auto: true }); +}; +export * from './registry.mjs'; + +init(); diff --git a/src/_shims/manual-types.d.ts b/src/_shims/manual-types.d.ts new file mode 100644 index 000000000..3d00fc243 --- /dev/null +++ b/src/_shims/manual-types.d.ts @@ -0,0 +1,12 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ +/** + * Types will get added to this namespace when you import one of the following: + * + * import 'openai/shims/node' + * import 'openai/shims/web' + * + * Importing more than one will cause type and runtime errors. + */ +export namespace manual {} diff --git a/src/_shims/manual-types.js b/src/_shims/manual-types.js new file mode 100644 index 000000000..ddbdb799c --- /dev/null +++ b/src/_shims/manual-types.js @@ -0,0 +1,3 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ diff --git a/src/_shims/manual-types.mjs b/src/_shims/manual-types.mjs new file mode 100644 index 000000000..ddbdb799c --- /dev/null +++ b/src/_shims/manual-types.mjs @@ -0,0 +1,3 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ diff --git a/src/_shims/node-runtime.ts b/src/_shims/node-runtime.ts new file mode 100644 index 000000000..ab9f2ab5c --- /dev/null +++ b/src/_shims/node-runtime.ts @@ -0,0 +1,81 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ +import * as nf from 'node-fetch'; +import * as fd from 'formdata-node'; +import { type File, type FilePropertyBag } from 'formdata-node'; +import KeepAliveAgent from 'agentkeepalive'; +import { AbortController as AbortControllerPolyfill } from 'abort-controller'; +import { ReadStream as FsReadStream } from 'node:fs'; +import { type Agent } from 'node:http'; +import { FormDataEncoder } from 'form-data-encoder'; +import { Readable } from 'node:stream'; +import { type RequestOptions } from '../core'; +import { MultipartBody } from './MultipartBody'; +import { type Shims } from './registry'; +import { ReadableStream } from 'node:stream/web'; + +type FileFromPathOptions = Omit; + +let fileFromPathWarned = false; + +/** + * @deprecated use fs.createReadStream('./my/file.txt') instead + */ +async function fileFromPath(path: string): Promise; +async function fileFromPath(path: string, filename?: string): Promise; +async function fileFromPath(path: string, options?: FileFromPathOptions): Promise; +async function fileFromPath(path: string, filename?: string, options?: FileFromPathOptions): Promise; +async function fileFromPath(path: string, ...args: any[]): Promise { + // this import fails in environments that don't handle export maps correctly, like old versions of Jest + const { fileFromPath: _fileFromPath } = await import('formdata-node/file-from-path'); + + if (!fileFromPathWarned) { + console.warn(`fileFromPath is deprecated; use fs.createReadStream(${JSON.stringify(path)}) instead`); + fileFromPathWarned = true; + } + // @ts-ignore + return await _fileFromPath(path, ...args); +} + +const defaultHttpAgent: Agent = new KeepAliveAgent({ keepAlive: true, timeout: 5 * 60 * 1000 }); +const defaultHttpsAgent: Agent = new KeepAliveAgent.HttpsAgent({ keepAlive: true, timeout: 5 * 60 * 1000 }); + +async function getMultipartRequestOptions>( + form: fd.FormData, + opts: RequestOptions, +): Promise> { + const encoder = new FormDataEncoder(form); + const readable = Readable.from(encoder); + const body = new MultipartBody(readable); + const headers = { + ...opts.headers, + ...encoder.headers, + 'Content-Length': encoder.contentLength, + }; + + return { ...opts, body: body as any, headers }; +} + +export function getRuntime(): Shims { + // Polyfill global object if needed. + if (typeof AbortController === 'undefined') { + // @ts-expect-error (the types are subtly different, but compatible in practice) + globalThis.AbortController = AbortControllerPolyfill; + } + return { + kind: 'node', + fetch: nf.default, + Request: nf.Request, + Response: nf.Response, + Headers: nf.Headers, + FormData: fd.FormData, + Blob: fd.Blob, + File: fd.File, + ReadableStream, + getMultipartRequestOptions, + getDefaultAgent: (url: string): Agent => (url.startsWith('https') ? defaultHttpsAgent : defaultHttpAgent), + fileFromPath, + isFsReadStream: (value: any): value is FsReadStream => value instanceof FsReadStream, + }; +} diff --git a/src/_shims/node-types.d.ts b/src/_shims/node-types.d.ts new file mode 100644 index 000000000..c159e5fa7 --- /dev/null +++ b/src/_shims/node-types.d.ts @@ -0,0 +1,42 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ +import * as nf from 'node-fetch'; +import * as fd from 'formdata-node'; + +export { type Agent } from 'node:http'; +export { type Readable } from 'node:stream'; +export { type ReadStream as FsReadStream } from 'node:fs'; +export { ReadableStream } from 'node:stream/web'; + +export const fetch: typeof nf.default; + +export type Request = nf.Request; +export type RequestInfo = nf.RequestInfo; +export type RequestInit = nf.RequestInit; + +export type Response = nf.Response; +export type ResponseInit = nf.ResponseInit; +export type ResponseType = nf.ResponseType; +export type BodyInit = nf.BodyInit; +export type Headers = nf.Headers; +export type HeadersInit = nf.HeadersInit; + +type EndingType = 'native' | 'transparent'; +export interface BlobPropertyBag { + endings?: EndingType; + type?: string; +} + +export interface FilePropertyBag extends BlobPropertyBag { + lastModified?: number; +} + +export type FileFromPathOptions = Omit; + +export type FormData = fd.FormData; +export const FormData: typeof fd.FormData; +export type File = fd.File; +export const File: typeof fd.File; +export type Blob = fd.Blob; +export const Blob: typeof fd.Blob; diff --git a/src/_shims/node-types.js b/src/_shims/node-types.js new file mode 100644 index 000000000..ddbdb799c --- /dev/null +++ b/src/_shims/node-types.js @@ -0,0 +1,3 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ diff --git a/src/_shims/node-types.mjs b/src/_shims/node-types.mjs new file mode 100644 index 000000000..ddbdb799c --- /dev/null +++ b/src/_shims/node-types.mjs @@ -0,0 +1,3 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ diff --git a/src/_shims/registry.ts b/src/_shims/registry.ts new file mode 100644 index 000000000..1fa39642e --- /dev/null +++ b/src/_shims/registry.ts @@ -0,0 +1,65 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ +import { type RequestOptions } from '../core'; + +export interface Shims { + kind: string; + fetch: any; + Request: any; + Response: any; + Headers: any; + FormData: any; + Blob: any; + File: any; + ReadableStream: any; + getMultipartRequestOptions: >( + form: Shims['FormData'], + opts: RequestOptions, + ) => Promise>; + getDefaultAgent: (url: string) => any; + fileFromPath: + | ((path: string, filename?: string, options?: {}) => Promise) + | ((path: string, options?: {}) => Promise); + isFsReadStream: (value: any) => boolean; +} + +export let auto = false; +export let kind: Shims['kind'] | undefined = undefined; +export let fetch: Shims['fetch'] | undefined = undefined; +export let Request: Shims['Request'] | undefined = undefined; +export let Response: Shims['Response'] | undefined = undefined; +export let Headers: Shims['Headers'] | undefined = undefined; +export let FormData: Shims['FormData'] | undefined = undefined; +export let Blob: Shims['Blob'] | undefined = undefined; +export let File: Shims['File'] | undefined = undefined; +export let ReadableStream: Shims['ReadableStream'] | undefined = undefined; +export let getMultipartRequestOptions: Shims['getMultipartRequestOptions'] | undefined = undefined; +export let getDefaultAgent: Shims['getDefaultAgent'] | undefined = undefined; +export let fileFromPath: Shims['fileFromPath'] | undefined = undefined; +export let isFsReadStream: Shims['isFsReadStream'] | undefined = undefined; + +export function setShims(shims: Shims, options: { auto: boolean } = { auto: false }) { + if (auto) { + throw new Error( + `you must \`import 'openai/shims/${shims.kind}'\` before importing anything else from openai`, + ); + } + if (kind) { + throw new Error(`can't \`import 'openai/shims/${shims.kind}'\` after \`import 'openai/shims/${kind}'\``); + } + auto = options.auto; + kind = shims.kind; + fetch = shims.fetch; + Request = shims.Request; + Response = shims.Response; + Headers = shims.Headers; + FormData = shims.FormData; + Blob = shims.Blob; + File = shims.File; + ReadableStream = shims.ReadableStream; + getMultipartRequestOptions = shims.getMultipartRequestOptions; + getDefaultAgent = shims.getDefaultAgent; + fileFromPath = shims.fileFromPath; + isFsReadStream = shims.isFsReadStream; +} diff --git a/src/_shims/web-runtime.ts b/src/_shims/web-runtime.ts new file mode 100644 index 000000000..a5e90bcf8 --- /dev/null +++ b/src/_shims/web-runtime.ts @@ -0,0 +1,103 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ +import { MultipartBody } from './MultipartBody'; +import { type RequestOptions } from '../core'; +import { type Shims } from './registry'; + +export function getRuntime({ manuallyImported }: { manuallyImported?: boolean } = {}): Shims { + const recommendation = + manuallyImported ? + `You may need to use polyfills` + : `Add one of these imports before your first \`import … from 'openai'\`: +- \`import 'openai/shims/node'\` (if you're running on Node) +- \`import 'openai/shims/web'\` (otherwise) +`; + + let _fetch, _Request, _Response, _Headers; + try { + // @ts-ignore + _fetch = fetch; + // @ts-ignore + _Request = Request; + // @ts-ignore + _Response = Response; + // @ts-ignore + _Headers = Headers; + } catch (error) { + throw new Error( + `this environment is missing the following Web Fetch API type: ${ + (error as any).message + }. ${recommendation}`, + ); + } + + return { + kind: 'web', + fetch: _fetch, + Request: _Request, + Response: _Response, + Headers: _Headers, + FormData: + // @ts-ignore + typeof FormData !== 'undefined' ? FormData : ( + class FormData { + // @ts-ignore + constructor() { + throw new Error( + `file uploads aren't supported in this environment yet as 'FormData' is undefined. ${recommendation}`, + ); + } + } + ), + Blob: + typeof Blob !== 'undefined' ? Blob : ( + class Blob { + constructor() { + throw new Error( + `file uploads aren't supported in this environment yet as 'Blob' is undefined. ${recommendation}`, + ); + } + } + ), + File: + // @ts-ignore + typeof File !== 'undefined' ? File : ( + class File { + // @ts-ignore + constructor() { + throw new Error( + `file uploads aren't supported in this environment yet as 'File' is undefined. ${recommendation}`, + ); + } + } + ), + ReadableStream: + // @ts-ignore + typeof ReadableStream !== 'undefined' ? ReadableStream : ( + class ReadableStream { + // @ts-ignore + constructor() { + throw new Error( + `streaming isn't supported in this environment yet as 'ReadableStream' is undefined. ${recommendation}`, + ); + } + } + ), + getMultipartRequestOptions: async >( + // @ts-ignore + form: FormData, + opts: RequestOptions, + ): Promise> => ({ + ...opts, + body: new MultipartBody(form) as any, + }), + getDefaultAgent: (url: string) => undefined, + fileFromPath: () => { + throw new Error( + 'The `fileFromPath` function is only supported in Node. See the README for more details: https://www.github.com/openai/openai-node#file-uploads', + ); + }, + isFsReadStream: (value: any) => false, + }; +} diff --git a/src/_shims/web-types.d.ts b/src/_shims/web-types.d.ts new file mode 100644 index 000000000..4ff351383 --- /dev/null +++ b/src/_shims/web-types.d.ts @@ -0,0 +1,83 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ +export type Agent = any; + +declare const _fetch: typeof fetch; +export { _fetch as fetch }; + +type _Request = Request; +export { _Request as Request }; + +type _RequestInfo = RequestInfo; +export { type _RequestInfo as RequestInfo }; + +type _RequestInit = RequestInit; +export { type _RequestInit as RequestInit }; + +type _Response = Response; +export { _Response as Response }; + +type _ResponseInit = ResponseInit; +export { type _ResponseInit as ResponseInit }; + +type _ResponseType = ResponseType; +export { type _ResponseType as ResponseType }; + +type _BodyInit = BodyInit; +export { type _BodyInit as BodyInit }; + +type _Headers = Headers; +export { _Headers as Headers }; + +type _HeadersInit = HeadersInit; +export { type _HeadersInit as HeadersInit }; + +type EndingType = 'native' | 'transparent'; + +export interface BlobPropertyBag { + endings?: EndingType; + type?: string; +} + +export interface FilePropertyBag extends BlobPropertyBag { + lastModified?: number; +} + +export type FileFromPathOptions = Omit; + +type _FormData = FormData; +declare const _FormData: typeof FormData; +export { _FormData as FormData }; + +type _File = File; +declare const _File: typeof File; +export { _File as File }; + +type _Blob = Blob; +declare const _Blob: typeof Blob; +export { _Blob as Blob }; + +export declare class Readable { + readable: boolean; + readonly readableEnded: boolean; + readonly readableFlowing: boolean | null; + readonly readableHighWaterMark: number; + readonly readableLength: number; + readonly readableObjectMode: boolean; + destroyed: boolean; + read(size?: number): any; + pause(): this; + resume(): this; + isPaused(): boolean; + destroy(error?: Error): this; + [Symbol.asyncIterator](): AsyncIterableIterator; +} + +export declare class FsReadStream extends Readable { + path: {}; // node type is string | Buffer +} + +type _ReadableStream = ReadableStream; +declare const _ReadableStream: typeof ReadableStream; +export { _ReadableStream as ReadableStream }; diff --git a/src/_shims/web-types.js b/src/_shims/web-types.js new file mode 100644 index 000000000..ddbdb799c --- /dev/null +++ b/src/_shims/web-types.js @@ -0,0 +1,3 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ diff --git a/src/_shims/web-types.mjs b/src/_shims/web-types.mjs new file mode 100644 index 000000000..ddbdb799c --- /dev/null +++ b/src/_shims/web-types.mjs @@ -0,0 +1,3 @@ +/** + * Disclaimer: modules in _shims aren't intended to be imported by SDK users. + */ diff --git a/src/_vendor/partial-json-parser/README.md b/src/_vendor/partial-json-parser/README.md new file mode 100644 index 000000000..d4e1c85d6 --- /dev/null +++ b/src/_vendor/partial-json-parser/README.md @@ -0,0 +1,3 @@ +# Partial JSON Parser + +Vendored from https://www.npmjs.com/package/partial-json with some modifications diff --git a/src/_vendor/partial-json-parser/parser.ts b/src/_vendor/partial-json-parser/parser.ts new file mode 100644 index 000000000..5ee62b76b --- /dev/null +++ b/src/_vendor/partial-json-parser/parser.ts @@ -0,0 +1,247 @@ +const STR = 0b000000001; +const NUM = 0b000000010; +const ARR = 0b000000100; +const OBJ = 0b000001000; +const NULL = 0b000010000; +const BOOL = 0b000100000; +const NAN = 0b001000000; +const INFINITY = 0b010000000; +const MINUS_INFINITY = 0b100000000; + +const INF = INFINITY | MINUS_INFINITY; +const SPECIAL = NULL | BOOL | INF | NAN; +const ATOM = STR | NUM | SPECIAL; +const COLLECTION = ARR | OBJ; +const ALL = ATOM | COLLECTION; + +const Allow = { + STR, + NUM, + ARR, + OBJ, + NULL, + BOOL, + NAN, + INFINITY, + MINUS_INFINITY, + INF, + SPECIAL, + ATOM, + COLLECTION, + ALL, +}; + +// The JSON string segment was unable to be parsed completely +class PartialJSON extends Error {} + +class MalformedJSON extends Error {} + +/** + * Parse incomplete JSON + * @param {string} jsonString Partial JSON to be parsed + * @param {number} allowPartial Specify what types are allowed to be partial, see {@link Allow} for details + * @returns The parsed JSON + * @throws {PartialJSON} If the JSON is incomplete (related to the `allow` parameter) + * @throws {MalformedJSON} If the JSON is malformed + */ +function parseJSON(jsonString: string, allowPartial: number = Allow.ALL): any { + if (typeof jsonString !== 'string') { + throw new TypeError(`expecting str, got ${typeof jsonString}`); + } + if (!jsonString.trim()) { + throw new Error(`${jsonString} is empty`); + } + return _parseJSON(jsonString.trim(), allowPartial); +} + +const _parseJSON = (jsonString: string, allow: number) => { + const length = jsonString.length; + let index = 0; + + const markPartialJSON = (msg: string) => { + throw new PartialJSON(`${msg} at position ${index}`); + }; + + const throwMalformedError = (msg: string) => { + throw new MalformedJSON(`${msg} at position ${index}`); + }; + + const parseAny: () => any = () => { + skipBlank(); + if (index >= length) markPartialJSON('Unexpected end of input'); + if (jsonString[index] === '"') return parseStr(); + if (jsonString[index] === '{') return parseObj(); + if (jsonString[index] === '[') return parseArr(); + if ( + jsonString.substring(index, index + 4) === 'null' || + (Allow.NULL & allow && length - index < 4 && 'null'.startsWith(jsonString.substring(index))) + ) { + index += 4; + return null; + } + if ( + jsonString.substring(index, index + 4) === 'true' || + (Allow.BOOL & allow && length - index < 4 && 'true'.startsWith(jsonString.substring(index))) + ) { + index += 4; + return true; + } + if ( + jsonString.substring(index, index + 5) === 'false' || + (Allow.BOOL & allow && length - index < 5 && 'false'.startsWith(jsonString.substring(index))) + ) { + index += 5; + return false; + } + if ( + jsonString.substring(index, index + 8) === 'Infinity' || + (Allow.INFINITY & allow && length - index < 8 && 'Infinity'.startsWith(jsonString.substring(index))) + ) { + index += 8; + return Infinity; + } + if ( + jsonString.substring(index, index + 9) === '-Infinity' || + (Allow.MINUS_INFINITY & allow && + 1 < length - index && + length - index < 9 && + '-Infinity'.startsWith(jsonString.substring(index))) + ) { + index += 9; + return -Infinity; + } + if ( + jsonString.substring(index, index + 3) === 'NaN' || + (Allow.NAN & allow && length - index < 3 && 'NaN'.startsWith(jsonString.substring(index))) + ) { + index += 3; + return NaN; + } + return parseNum(); + }; + + const parseStr: () => string = () => { + const start = index; + let escape = false; + index++; // skip initial quote + while (index < length && (jsonString[index] !== '"' || (escape && jsonString[index - 1] === '\\'))) { + escape = jsonString[index] === '\\' ? !escape : false; + index++; + } + if (jsonString.charAt(index) == '"') { + try { + return JSON.parse(jsonString.substring(start, ++index - Number(escape))); + } catch (e) { + throwMalformedError(String(e)); + } + } else if (Allow.STR & allow) { + try { + return JSON.parse(jsonString.substring(start, index - Number(escape)) + '"'); + } catch (e) { + // SyntaxError: Invalid escape sequence + return JSON.parse(jsonString.substring(start, jsonString.lastIndexOf('\\')) + '"'); + } + } + markPartialJSON('Unterminated string literal'); + }; + + const parseObj = () => { + index++; // skip initial brace + skipBlank(); + const obj: Record = {}; + try { + while (jsonString[index] !== '}') { + skipBlank(); + if (index >= length && Allow.OBJ & allow) return obj; + const key = parseStr(); + skipBlank(); + index++; // skip colon + try { + const value = parseAny(); + Object.defineProperty(obj, key, { value, writable: true, enumerable: true, configurable: true }); + } catch (e) { + if (Allow.OBJ & allow) return obj; + else throw e; + } + skipBlank(); + if (jsonString[index] === ',') index++; // skip comma + } + } catch (e) { + if (Allow.OBJ & allow) return obj; + else markPartialJSON("Expected '}' at end of object"); + } + index++; // skip final brace + return obj; + }; + + const parseArr = () => { + index++; // skip initial bracket + const arr = []; + try { + while (jsonString[index] !== ']') { + arr.push(parseAny()); + skipBlank(); + if (jsonString[index] === ',') { + index++; // skip comma + } + } + } catch (e) { + if (Allow.ARR & allow) { + return arr; + } + markPartialJSON("Expected ']' at end of array"); + } + index++; // skip final bracket + return arr; + }; + + const parseNum = () => { + if (index === 0) { + if (jsonString === '-' && Allow.NUM & allow) markPartialJSON("Not sure what '-' is"); + try { + return JSON.parse(jsonString); + } catch (e) { + if (Allow.NUM & allow) { + try { + if ('.' === jsonString[jsonString.length - 1]) + return JSON.parse(jsonString.substring(0, jsonString.lastIndexOf('.'))); + return JSON.parse(jsonString.substring(0, jsonString.lastIndexOf('e'))); + } catch (e) {} + } + throwMalformedError(String(e)); + } + } + + const start = index; + + if (jsonString[index] === '-') index++; + while (jsonString[index] && !',]}'.includes(jsonString[index]!)) index++; + + if (index == length && !(Allow.NUM & allow)) markPartialJSON('Unterminated number literal'); + + try { + return JSON.parse(jsonString.substring(start, index)); + } catch (e) { + if (jsonString.substring(start, index) === '-' && Allow.NUM & allow) + markPartialJSON("Not sure what '-' is"); + try { + return JSON.parse(jsonString.substring(start, jsonString.lastIndexOf('e'))); + } catch (e) { + throwMalformedError(String(e)); + } + } + }; + + const skipBlank = () => { + while (index < length && ' \n\r\t'.includes(jsonString[index]!)) { + index++; + } + }; + + return parseAny(); +}; + +// using this function with malformed JSON is undefined behavior +const partialParse = (input: string) => parseJSON(input, Allow.ALL ^ Allow.NUM); + +export { partialParse, PartialJSON, MalformedJSON }; diff --git a/src/_vendor/zod-to-json-schema/LICENSE b/src/_vendor/zod-to-json-schema/LICENSE new file mode 100644 index 000000000..a4690a1b6 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/LICENSE @@ -0,0 +1,15 @@ +ISC License + +Copyright (c) 2020, Stefan Terdell + +Permission to use, copy, modify, and/or distribute this software for any +purpose with or without fee is hereby granted, provided that the above +copyright notice and this permission notice appear in all copies. + +THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES +WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF +MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR +ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES +WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN +ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF +OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. diff --git a/src/_vendor/zod-to-json-schema/Options.ts b/src/_vendor/zod-to-json-schema/Options.ts new file mode 100644 index 000000000..a9abfc0e2 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/Options.ts @@ -0,0 +1,80 @@ +import { ZodSchema, ZodTypeDef } from 'zod'; +import { Refs, Seen } from './Refs'; +import { JsonSchema7Type } from './parseDef'; + +export type Targets = 'jsonSchema7' | 'jsonSchema2019-09' | 'openApi3'; + +export type DateStrategy = 'format:date-time' | 'format:date' | 'string' | 'integer'; + +export const ignoreOverride = Symbol('Let zodToJsonSchema decide on which parser to use'); + +export type Options = { + name: string | undefined; + $refStrategy: 'root' | 'relative' | 'none' | 'seen' | 'extract-to-root'; + basePath: string[]; + effectStrategy: 'input' | 'any'; + pipeStrategy: 'input' | 'output' | 'all'; + dateStrategy: DateStrategy | DateStrategy[]; + mapStrategy: 'entries' | 'record'; + removeAdditionalStrategy: 'passthrough' | 'strict'; + nullableStrategy: 'from-target' | 'property'; + target: Target; + strictUnions: boolean; + definitionPath: string; + definitions: Record; + errorMessages: boolean; + markdownDescription: boolean; + patternStrategy: 'escape' | 'preserve'; + applyRegexFlags: boolean; + emailStrategy: 'format:email' | 'format:idn-email' | 'pattern:zod'; + base64Strategy: 'format:binary' | 'contentEncoding:base64' | 'pattern:zod'; + nameStrategy: 'ref' | 'duplicate-ref' | 'title'; + override?: ( + def: ZodTypeDef, + refs: Refs, + seen: Seen | undefined, + forceResolution?: boolean, + ) => JsonSchema7Type | undefined | typeof ignoreOverride; + openaiStrictMode?: boolean; +}; + +const defaultOptions: Omit = { + name: undefined, + $refStrategy: 'root', + effectStrategy: 'input', + pipeStrategy: 'all', + dateStrategy: 'format:date-time', + mapStrategy: 'entries', + nullableStrategy: 'from-target', + removeAdditionalStrategy: 'passthrough', + definitionPath: 'definitions', + target: 'jsonSchema7', + strictUnions: false, + errorMessages: false, + markdownDescription: false, + patternStrategy: 'escape', + applyRegexFlags: false, + emailStrategy: 'format:email', + base64Strategy: 'contentEncoding:base64', + nameStrategy: 'ref', +}; + +export const getDefaultOptions = ( + options: Partial> | string | undefined, +) => { + // We need to add `definitions` here as we may mutate it + return ( + typeof options === 'string' ? + { + ...defaultOptions, + basePath: ['#'], + definitions: {}, + name: options, + } + : { + ...defaultOptions, + basePath: ['#'], + definitions: {}, + ...options, + }) as Options; +}; diff --git a/src/_vendor/zod-to-json-schema/README.md b/src/_vendor/zod-to-json-schema/README.md new file mode 100644 index 000000000..ffb351242 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/README.md @@ -0,0 +1,3 @@ +# Zod to Json Schema + +Vendored version of https://github.com/StefanTerdell/zod-to-json-schema that has been updated to generate JSON Schemas that are compatible with OpenAI's [strict mode](https://platform.openai.com/docs/guides/structured-outputs/supported-schemas) diff --git a/src/_vendor/zod-to-json-schema/Refs.ts b/src/_vendor/zod-to-json-schema/Refs.ts new file mode 100644 index 000000000..ea63c076a --- /dev/null +++ b/src/_vendor/zod-to-json-schema/Refs.ts @@ -0,0 +1,47 @@ +import type { ZodTypeDef } from 'zod'; +import { getDefaultOptions, Options, Targets } from './Options'; +import { JsonSchema7Type } from './parseDef'; +import { zodDef } from './util'; + +export type Refs = { + seen: Map; + /** + * Set of all the `$ref`s we created, e.g. `Set(['#/$defs/ui'])` + * this notable does not include any `definitions` that were + * explicitly given as an option. + */ + seenRefs: Set; + currentPath: string[]; + propertyPath: string[] | undefined; +} & Options; + +export type Seen = { + def: ZodTypeDef; + path: string[]; + jsonSchema: JsonSchema7Type | undefined; +}; + +export const getRefs = (options?: string | Partial>): Refs => { + const _options = getDefaultOptions(options); + const currentPath = + _options.name !== undefined ? + [..._options.basePath, _options.definitionPath, _options.name] + : _options.basePath; + return { + ..._options, + currentPath: currentPath, + propertyPath: undefined, + seenRefs: new Set(), + seen: new Map( + Object.entries(_options.definitions).map(([name, def]) => [ + zodDef(def), + { + def: zodDef(def), + path: [..._options.basePath, _options.definitionPath, name], + // Resolution of references will be forced even though seen, so it's ok that the schema is undefined here for now. + jsonSchema: undefined, + }, + ]), + ), + }; +}; diff --git a/src/_vendor/zod-to-json-schema/errorMessages.ts b/src/_vendor/zod-to-json-schema/errorMessages.ts new file mode 100644 index 000000000..ceb0e8b73 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/errorMessages.ts @@ -0,0 +1,31 @@ +import { JsonSchema7TypeUnion } from './parseDef'; +import { Refs } from './Refs'; + +export type ErrorMessages = Partial< + Omit<{ [key in keyof T]: string }, OmitProperties | 'type' | 'errorMessages'> +>; + +export function addErrorMessage }>( + res: T, + key: keyof T, + errorMessage: string | undefined, + refs: Refs, +) { + if (!refs?.errorMessages) return; + if (errorMessage) { + res.errorMessage = { + ...res.errorMessage, + [key]: errorMessage, + }; + } +} + +export function setResponseValueAndErrors< + Json7Type extends JsonSchema7TypeUnion & { + errorMessage?: ErrorMessages; + }, + Key extends keyof Omit, +>(res: Json7Type, key: Key, value: Json7Type[Key], errorMessage: string | undefined, refs: Refs) { + res[key] = value; + addErrorMessage(res, key, errorMessage, refs); +} diff --git a/src/_vendor/zod-to-json-schema/index.ts b/src/_vendor/zod-to-json-schema/index.ts new file mode 100644 index 000000000..5808bc280 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/index.ts @@ -0,0 +1,37 @@ +export * from './Options'; +export * from './Refs'; +export * from './errorMessages'; +export * from './parseDef'; +export * from './parsers/any'; +export * from './parsers/array'; +export * from './parsers/bigint'; +export * from './parsers/boolean'; +export * from './parsers/branded'; +export * from './parsers/catch'; +export * from './parsers/date'; +export * from './parsers/default'; +export * from './parsers/effects'; +export * from './parsers/enum'; +export * from './parsers/intersection'; +export * from './parsers/literal'; +export * from './parsers/map'; +export * from './parsers/nativeEnum'; +export * from './parsers/never'; +export * from './parsers/null'; +export * from './parsers/nullable'; +export * from './parsers/number'; +export * from './parsers/object'; +export * from './parsers/optional'; +export * from './parsers/pipeline'; +export * from './parsers/promise'; +export * from './parsers/readonly'; +export * from './parsers/record'; +export * from './parsers/set'; +export * from './parsers/string'; +export * from './parsers/tuple'; +export * from './parsers/undefined'; +export * from './parsers/union'; +export * from './parsers/unknown'; +export * from './zodToJsonSchema'; +import { zodToJsonSchema } from './zodToJsonSchema'; +export default zodToJsonSchema; diff --git a/src/_vendor/zod-to-json-schema/parseDef.ts b/src/_vendor/zod-to-json-schema/parseDef.ts new file mode 100644 index 000000000..8af5ce4be --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parseDef.ts @@ -0,0 +1,258 @@ +import { ZodFirstPartyTypeKind, ZodTypeDef } from 'zod'; +import { JsonSchema7AnyType, parseAnyDef } from './parsers/any'; +import { JsonSchema7ArrayType, parseArrayDef } from './parsers/array'; +import { JsonSchema7BigintType, parseBigintDef } from './parsers/bigint'; +import { JsonSchema7BooleanType, parseBooleanDef } from './parsers/boolean'; +import { parseBrandedDef } from './parsers/branded'; +import { parseCatchDef } from './parsers/catch'; +import { JsonSchema7DateType, parseDateDef } from './parsers/date'; +import { parseDefaultDef } from './parsers/default'; +import { parseEffectsDef } from './parsers/effects'; +import { JsonSchema7EnumType, parseEnumDef } from './parsers/enum'; +import { JsonSchema7AllOfType, parseIntersectionDef } from './parsers/intersection'; +import { JsonSchema7LiteralType, parseLiteralDef } from './parsers/literal'; +import { JsonSchema7MapType, parseMapDef } from './parsers/map'; +import { JsonSchema7NativeEnumType, parseNativeEnumDef } from './parsers/nativeEnum'; +import { JsonSchema7NeverType, parseNeverDef } from './parsers/never'; +import { JsonSchema7NullType, parseNullDef } from './parsers/null'; +import { JsonSchema7NullableType, parseNullableDef } from './parsers/nullable'; +import { JsonSchema7NumberType, parseNumberDef } from './parsers/number'; +import { JsonSchema7ObjectType, parseObjectDef } from './parsers/object'; +import { parseOptionalDef } from './parsers/optional'; +import { parsePipelineDef } from './parsers/pipeline'; +import { parsePromiseDef } from './parsers/promise'; +import { JsonSchema7RecordType, parseRecordDef } from './parsers/record'; +import { JsonSchema7SetType, parseSetDef } from './parsers/set'; +import { JsonSchema7StringType, parseStringDef } from './parsers/string'; +import { JsonSchema7TupleType, parseTupleDef } from './parsers/tuple'; +import { JsonSchema7UndefinedType, parseUndefinedDef } from './parsers/undefined'; +import { JsonSchema7UnionType, parseUnionDef } from './parsers/union'; +import { JsonSchema7UnknownType, parseUnknownDef } from './parsers/unknown'; +import { Refs, Seen } from './Refs'; +import { parseReadonlyDef } from './parsers/readonly'; +import { ignoreOverride } from './Options'; + +type JsonSchema7RefType = { $ref: string }; +type JsonSchema7Meta = { + title?: string; + default?: any; + description?: string; + markdownDescription?: string; +}; + +export type JsonSchema7TypeUnion = + | JsonSchema7StringType + | JsonSchema7ArrayType + | JsonSchema7NumberType + | JsonSchema7BigintType + | JsonSchema7BooleanType + | JsonSchema7DateType + | JsonSchema7EnumType + | JsonSchema7LiteralType + | JsonSchema7NativeEnumType + | JsonSchema7NullType + | JsonSchema7NumberType + | JsonSchema7ObjectType + | JsonSchema7RecordType + | JsonSchema7TupleType + | JsonSchema7UnionType + | JsonSchema7UndefinedType + | JsonSchema7RefType + | JsonSchema7NeverType + | JsonSchema7MapType + | JsonSchema7AnyType + | JsonSchema7NullableType + | JsonSchema7AllOfType + | JsonSchema7UnknownType + | JsonSchema7SetType; + +export type JsonSchema7Type = JsonSchema7TypeUnion & JsonSchema7Meta; + +export function parseDef( + def: ZodTypeDef, + refs: Refs, + forceResolution = false, // Forces a new schema to be instantiated even though its def has been seen. Used for improving refs in definitions. See https://github.com/StefanTerdell/zod-to-json-schema/pull/61. +): JsonSchema7Type | undefined { + const seenItem = refs.seen.get(def); + + if (refs.override) { + const overrideResult = refs.override?.(def, refs, seenItem, forceResolution); + + if (overrideResult !== ignoreOverride) { + return overrideResult; + } + } + + if (seenItem && !forceResolution) { + const seenSchema = get$ref(seenItem, refs); + + if (seenSchema !== undefined) { + if ('$ref' in seenSchema) { + refs.seenRefs.add(seenSchema.$ref); + } + + return seenSchema; + } + } + + const newItem: Seen = { def, path: refs.currentPath, jsonSchema: undefined }; + + refs.seen.set(def, newItem); + + const jsonSchema = selectParser(def, (def as any).typeName, refs, forceResolution); + + if (jsonSchema) { + addMeta(def, refs, jsonSchema); + } + + newItem.jsonSchema = jsonSchema; + + return jsonSchema; +} + +const get$ref = ( + item: Seen, + refs: Refs, +): + | { + $ref: string; + } + | {} + | undefined => { + switch (refs.$refStrategy) { + case 'root': + return { $ref: item.path.join('/') }; + // this case is needed as OpenAI strict mode doesn't support top-level `$ref`s, i.e. + // the top-level schema *must* be `{"type": "object", "properties": {...}}` but if we ever + // need to define a `$ref`, relative `$ref`s aren't supported, so we need to extract + // the schema to `#/definitions/` and reference that. + // + // e.g. if we need to reference a schema at + // `["#","definitions","contactPerson","properties","person1","properties","name"]` + // then we'll extract it out to `contactPerson_properties_person1_properties_name` + case 'extract-to-root': + const name = item.path.slice(refs.basePath.length + 1).join('_'); + + // we don't need to extract the root schema in this case, as it's already + // been added to the definitions + if (name !== refs.name && refs.nameStrategy === 'duplicate-ref') { + refs.definitions[name] = item.def; + } + + return { $ref: [...refs.basePath, refs.definitionPath, name].join('/') }; + case 'relative': + return { $ref: getRelativePath(refs.currentPath, item.path) }; + case 'none': + case 'seen': { + if ( + item.path.length < refs.currentPath.length && + item.path.every((value, index) => refs.currentPath[index] === value) + ) { + console.warn(`Recursive reference detected at ${refs.currentPath.join('/')}! Defaulting to any`); + + return {}; + } + + return refs.$refStrategy === 'seen' ? {} : undefined; + } + } +}; + +const getRelativePath = (pathA: string[], pathB: string[]) => { + let i = 0; + for (; i < pathA.length && i < pathB.length; i++) { + if (pathA[i] !== pathB[i]) break; + } + return [(pathA.length - i).toString(), ...pathB.slice(i)].join('/'); +}; + +const selectParser = ( + def: any, + typeName: ZodFirstPartyTypeKind, + refs: Refs, + forceResolution: boolean, +): JsonSchema7Type | undefined => { + switch (typeName) { + case ZodFirstPartyTypeKind.ZodString: + return parseStringDef(def, refs); + case ZodFirstPartyTypeKind.ZodNumber: + return parseNumberDef(def, refs); + case ZodFirstPartyTypeKind.ZodObject: + return parseObjectDef(def, refs); + case ZodFirstPartyTypeKind.ZodBigInt: + return parseBigintDef(def, refs); + case ZodFirstPartyTypeKind.ZodBoolean: + return parseBooleanDef(); + case ZodFirstPartyTypeKind.ZodDate: + return parseDateDef(def, refs); + case ZodFirstPartyTypeKind.ZodUndefined: + return parseUndefinedDef(); + case ZodFirstPartyTypeKind.ZodNull: + return parseNullDef(refs); + case ZodFirstPartyTypeKind.ZodArray: + return parseArrayDef(def, refs); + case ZodFirstPartyTypeKind.ZodUnion: + case ZodFirstPartyTypeKind.ZodDiscriminatedUnion: + return parseUnionDef(def, refs); + case ZodFirstPartyTypeKind.ZodIntersection: + return parseIntersectionDef(def, refs); + case ZodFirstPartyTypeKind.ZodTuple: + return parseTupleDef(def, refs); + case ZodFirstPartyTypeKind.ZodRecord: + return parseRecordDef(def, refs); + case ZodFirstPartyTypeKind.ZodLiteral: + return parseLiteralDef(def, refs); + case ZodFirstPartyTypeKind.ZodEnum: + return parseEnumDef(def); + case ZodFirstPartyTypeKind.ZodNativeEnum: + return parseNativeEnumDef(def); + case ZodFirstPartyTypeKind.ZodNullable: + return parseNullableDef(def, refs); + case ZodFirstPartyTypeKind.ZodOptional: + return parseOptionalDef(def, refs); + case ZodFirstPartyTypeKind.ZodMap: + return parseMapDef(def, refs); + case ZodFirstPartyTypeKind.ZodSet: + return parseSetDef(def, refs); + case ZodFirstPartyTypeKind.ZodLazy: + return parseDef(def.getter()._def, refs); + case ZodFirstPartyTypeKind.ZodPromise: + return parsePromiseDef(def, refs); + case ZodFirstPartyTypeKind.ZodNaN: + case ZodFirstPartyTypeKind.ZodNever: + return parseNeverDef(); + case ZodFirstPartyTypeKind.ZodEffects: + return parseEffectsDef(def, refs, forceResolution); + case ZodFirstPartyTypeKind.ZodAny: + return parseAnyDef(); + case ZodFirstPartyTypeKind.ZodUnknown: + return parseUnknownDef(); + case ZodFirstPartyTypeKind.ZodDefault: + return parseDefaultDef(def, refs); + case ZodFirstPartyTypeKind.ZodBranded: + return parseBrandedDef(def, refs); + case ZodFirstPartyTypeKind.ZodReadonly: + return parseReadonlyDef(def, refs); + case ZodFirstPartyTypeKind.ZodCatch: + return parseCatchDef(def, refs); + case ZodFirstPartyTypeKind.ZodPipeline: + return parsePipelineDef(def, refs); + case ZodFirstPartyTypeKind.ZodFunction: + case ZodFirstPartyTypeKind.ZodVoid: + case ZodFirstPartyTypeKind.ZodSymbol: + return undefined; + default: + return ((_: never) => undefined)(typeName); + } +}; + +const addMeta = (def: ZodTypeDef, refs: Refs, jsonSchema: JsonSchema7Type): JsonSchema7Type => { + if (def.description) { + jsonSchema.description = def.description; + + if (refs.markdownDescription) { + jsonSchema.markdownDescription = def.description; + } + } + return jsonSchema; +}; diff --git a/src/_vendor/zod-to-json-schema/parsers/any.ts b/src/_vendor/zod-to-json-schema/parsers/any.ts new file mode 100644 index 000000000..68c2921da --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/any.ts @@ -0,0 +1,5 @@ +export type JsonSchema7AnyType = {}; + +export function parseAnyDef(): JsonSchema7AnyType { + return {}; +} diff --git a/src/_vendor/zod-to-json-schema/parsers/array.ts b/src/_vendor/zod-to-json-schema/parsers/array.ts new file mode 100644 index 000000000..3e8578f8b --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/array.ts @@ -0,0 +1,36 @@ +import { ZodArrayDef, ZodFirstPartyTypeKind } from 'zod'; +import { ErrorMessages, setResponseValueAndErrors } from '../errorMessages'; +import { JsonSchema7Type, parseDef } from '../parseDef'; +import { Refs } from '../Refs'; + +export type JsonSchema7ArrayType = { + type: 'array'; + items?: JsonSchema7Type | undefined; + minItems?: number; + maxItems?: number; + errorMessages?: ErrorMessages; +}; + +export function parseArrayDef(def: ZodArrayDef, refs: Refs) { + const res: JsonSchema7ArrayType = { + type: 'array', + }; + if (def.type?._def?.typeName !== ZodFirstPartyTypeKind.ZodAny) { + res.items = parseDef(def.type._def, { + ...refs, + currentPath: [...refs.currentPath, 'items'], + }); + } + + if (def.minLength) { + setResponseValueAndErrors(res, 'minItems', def.minLength.value, def.minLength.message, refs); + } + if (def.maxLength) { + setResponseValueAndErrors(res, 'maxItems', def.maxLength.value, def.maxLength.message, refs); + } + if (def.exactLength) { + setResponseValueAndErrors(res, 'minItems', def.exactLength.value, def.exactLength.message, refs); + setResponseValueAndErrors(res, 'maxItems', def.exactLength.value, def.exactLength.message, refs); + } + return res; +} diff --git a/src/_vendor/zod-to-json-schema/parsers/bigint.ts b/src/_vendor/zod-to-json-schema/parsers/bigint.ts new file mode 100644 index 000000000..f46784184 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/bigint.ts @@ -0,0 +1,60 @@ +import { ZodBigIntDef } from 'zod'; +import { Refs } from '../Refs'; +import { ErrorMessages, setResponseValueAndErrors } from '../errorMessages'; + +export type JsonSchema7BigintType = { + type: 'integer'; + format: 'int64'; + minimum?: BigInt; + exclusiveMinimum?: BigInt; + maximum?: BigInt; + exclusiveMaximum?: BigInt; + multipleOf?: BigInt; + errorMessage?: ErrorMessages; +}; + +export function parseBigintDef(def: ZodBigIntDef, refs: Refs): JsonSchema7BigintType { + const res: JsonSchema7BigintType = { + type: 'integer', + format: 'int64', + }; + + if (!def.checks) return res; + + for (const check of def.checks) { + switch (check.kind) { + case 'min': + if (refs.target === 'jsonSchema7') { + if (check.inclusive) { + setResponseValueAndErrors(res, 'minimum', check.value, check.message, refs); + } else { + setResponseValueAndErrors(res, 'exclusiveMinimum', check.value, check.message, refs); + } + } else { + if (!check.inclusive) { + res.exclusiveMinimum = true as any; + } + setResponseValueAndErrors(res, 'minimum', check.value, check.message, refs); + } + break; + case 'max': + if (refs.target === 'jsonSchema7') { + if (check.inclusive) { + setResponseValueAndErrors(res, 'maximum', check.value, check.message, refs); + } else { + setResponseValueAndErrors(res, 'exclusiveMaximum', check.value, check.message, refs); + } + } else { + if (!check.inclusive) { + res.exclusiveMaximum = true as any; + } + setResponseValueAndErrors(res, 'maximum', check.value, check.message, refs); + } + break; + case 'multipleOf': + setResponseValueAndErrors(res, 'multipleOf', check.value, check.message, refs); + break; + } + } + return res; +} diff --git a/src/_vendor/zod-to-json-schema/parsers/boolean.ts b/src/_vendor/zod-to-json-schema/parsers/boolean.ts new file mode 100644 index 000000000..715e41acc --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/boolean.ts @@ -0,0 +1,9 @@ +export type JsonSchema7BooleanType = { + type: 'boolean'; +}; + +export function parseBooleanDef(): JsonSchema7BooleanType { + return { + type: 'boolean', + }; +} diff --git a/src/_vendor/zod-to-json-schema/parsers/branded.ts b/src/_vendor/zod-to-json-schema/parsers/branded.ts new file mode 100644 index 000000000..2242580a5 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/branded.ts @@ -0,0 +1,7 @@ +import { ZodBrandedDef } from 'zod'; +import { parseDef } from '../parseDef'; +import { Refs } from '../Refs'; + +export function parseBrandedDef(_def: ZodBrandedDef, refs: Refs) { + return parseDef(_def.type._def, refs); +} diff --git a/src/_vendor/zod-to-json-schema/parsers/catch.ts b/src/_vendor/zod-to-json-schema/parsers/catch.ts new file mode 100644 index 000000000..5cce3afa1 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/catch.ts @@ -0,0 +1,7 @@ +import { ZodCatchDef } from 'zod'; +import { parseDef } from '../parseDef'; +import { Refs } from '../Refs'; + +export const parseCatchDef = (def: ZodCatchDef, refs: Refs) => { + return parseDef(def.innerType._def, refs); +}; diff --git a/src/_vendor/zod-to-json-schema/parsers/date.ts b/src/_vendor/zod-to-json-schema/parsers/date.ts new file mode 100644 index 000000000..4afc4e8dc --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/date.ts @@ -0,0 +1,83 @@ +import { ZodDateDef } from 'zod'; +import { Refs } from '../Refs'; +import { ErrorMessages, setResponseValueAndErrors } from '../errorMessages'; +import { JsonSchema7NumberType } from './number'; +import { DateStrategy } from '../Options'; + +export type JsonSchema7DateType = + | { + type: 'integer' | 'string'; + format: 'unix-time' | 'date-time' | 'date'; + minimum?: number; + maximum?: number; + errorMessage?: ErrorMessages; + } + | { + anyOf: JsonSchema7DateType[]; + }; + +export function parseDateDef( + def: ZodDateDef, + refs: Refs, + overrideDateStrategy?: DateStrategy, +): JsonSchema7DateType { + const strategy = overrideDateStrategy ?? refs.dateStrategy; + + if (Array.isArray(strategy)) { + return { + anyOf: strategy.map((item, i) => parseDateDef(def, refs, item)), + }; + } + + switch (strategy) { + case 'string': + case 'format:date-time': + return { + type: 'string', + format: 'date-time', + }; + case 'format:date': + return { + type: 'string', + format: 'date', + }; + case 'integer': + return integerDateParser(def, refs); + } +} + +const integerDateParser = (def: ZodDateDef, refs: Refs) => { + const res: JsonSchema7DateType = { + type: 'integer', + format: 'unix-time', + }; + + if (refs.target === 'openApi3') { + return res; + } + + for (const check of def.checks) { + switch (check.kind) { + case 'min': + setResponseValueAndErrors( + res, + 'minimum', + check.value, // This is in milliseconds + check.message, + refs, + ); + break; + case 'max': + setResponseValueAndErrors( + res, + 'maximum', + check.value, // This is in milliseconds + check.message, + refs, + ); + break; + } + } + + return res; +}; diff --git a/src/_vendor/zod-to-json-schema/parsers/default.ts b/src/_vendor/zod-to-json-schema/parsers/default.ts new file mode 100644 index 000000000..f71726075 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/default.ts @@ -0,0 +1,10 @@ +import { ZodDefaultDef } from 'zod'; +import { JsonSchema7Type, parseDef } from '../parseDef'; +import { Refs } from '../Refs'; + +export function parseDefaultDef(_def: ZodDefaultDef, refs: Refs): JsonSchema7Type & { default: any } { + return { + ...parseDef(_def.innerType._def, refs), + default: _def.defaultValue(), + }; +} diff --git a/src/_vendor/zod-to-json-schema/parsers/effects.ts b/src/_vendor/zod-to-json-schema/parsers/effects.ts new file mode 100644 index 000000000..b010d5c47 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/effects.ts @@ -0,0 +1,11 @@ +import { ZodEffectsDef } from 'zod'; +import { JsonSchema7Type, parseDef } from '../parseDef'; +import { Refs } from '../Refs'; + +export function parseEffectsDef( + _def: ZodEffectsDef, + refs: Refs, + forceResolution: boolean, +): JsonSchema7Type | undefined { + return refs.effectStrategy === 'input' ? parseDef(_def.schema._def, refs, forceResolution) : {}; +} diff --git a/src/_vendor/zod-to-json-schema/parsers/enum.ts b/src/_vendor/zod-to-json-schema/parsers/enum.ts new file mode 100644 index 000000000..d6f5ceb24 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/enum.ts @@ -0,0 +1,13 @@ +import { ZodEnumDef } from 'zod'; + +export type JsonSchema7EnumType = { + type: 'string'; + enum: string[]; +}; + +export function parseEnumDef(def: ZodEnumDef): JsonSchema7EnumType { + return { + type: 'string', + enum: [...def.values], + }; +} diff --git a/src/_vendor/zod-to-json-schema/parsers/intersection.ts b/src/_vendor/zod-to-json-schema/parsers/intersection.ts new file mode 100644 index 000000000..af5f0421d --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/intersection.ts @@ -0,0 +1,64 @@ +import { ZodIntersectionDef } from 'zod'; +import { JsonSchema7Type, parseDef } from '../parseDef'; +import { Refs } from '../Refs'; +import { JsonSchema7StringType } from './string'; + +export type JsonSchema7AllOfType = { + allOf: JsonSchema7Type[]; + unevaluatedProperties?: boolean; +}; + +const isJsonSchema7AllOfType = ( + type: JsonSchema7Type | JsonSchema7StringType, +): type is JsonSchema7AllOfType => { + if ('type' in type && type.type === 'string') return false; + return 'allOf' in type; +}; + +export function parseIntersectionDef( + def: ZodIntersectionDef, + refs: Refs, +): JsonSchema7AllOfType | JsonSchema7Type | undefined { + const allOf = [ + parseDef(def.left._def, { + ...refs, + currentPath: [...refs.currentPath, 'allOf', '0'], + }), + parseDef(def.right._def, { + ...refs, + currentPath: [...refs.currentPath, 'allOf', '1'], + }), + ].filter((x): x is JsonSchema7Type => !!x); + + let unevaluatedProperties: Pick | undefined = + refs.target === 'jsonSchema2019-09' ? { unevaluatedProperties: false } : undefined; + + const mergedAllOf: JsonSchema7Type[] = []; + // If either of the schemas is an allOf, merge them into a single allOf + allOf.forEach((schema) => { + if (isJsonSchema7AllOfType(schema)) { + mergedAllOf.push(...schema.allOf); + if (schema.unevaluatedProperties === undefined) { + // If one of the schemas has no unevaluatedProperties set, + // the merged schema should also have no unevaluatedProperties set + unevaluatedProperties = undefined; + } + } else { + let nestedSchema: JsonSchema7Type = schema; + if ('additionalProperties' in schema && schema.additionalProperties === false) { + const { additionalProperties, ...rest } = schema; + nestedSchema = rest; + } else { + // As soon as one of the schemas has additionalProperties set not to false, we allow unevaluatedProperties + unevaluatedProperties = undefined; + } + mergedAllOf.push(nestedSchema); + } + }); + return mergedAllOf.length ? + { + allOf: mergedAllOf, + ...unevaluatedProperties, + } + : undefined; +} diff --git a/src/_vendor/zod-to-json-schema/parsers/literal.ts b/src/_vendor/zod-to-json-schema/parsers/literal.ts new file mode 100644 index 000000000..a35625cfc --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/literal.ts @@ -0,0 +1,37 @@ +import { ZodLiteralDef } from 'zod'; +import { Refs } from '../Refs'; + +export type JsonSchema7LiteralType = + | { + type: 'string' | 'number' | 'integer' | 'boolean'; + const: string | number | boolean; + } + | { + type: 'object' | 'array'; + }; + +export function parseLiteralDef(def: ZodLiteralDef, refs: Refs): JsonSchema7LiteralType { + const parsedType = typeof def.value; + if ( + parsedType !== 'bigint' && + parsedType !== 'number' && + parsedType !== 'boolean' && + parsedType !== 'string' + ) { + return { + type: Array.isArray(def.value) ? 'array' : 'object', + }; + } + + if (refs.target === 'openApi3') { + return { + type: parsedType === 'bigint' ? 'integer' : parsedType, + enum: [def.value], + } as any; + } + + return { + type: parsedType === 'bigint' ? 'integer' : parsedType, + const: def.value, + }; +} diff --git a/src/_vendor/zod-to-json-schema/parsers/map.ts b/src/_vendor/zod-to-json-schema/parsers/map.ts new file mode 100644 index 000000000..5084ccd68 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/map.ts @@ -0,0 +1,42 @@ +import { ZodMapDef } from 'zod'; +import { JsonSchema7Type, parseDef } from '../parseDef'; +import { Refs } from '../Refs'; +import { JsonSchema7RecordType, parseRecordDef } from './record'; + +export type JsonSchema7MapType = { + type: 'array'; + maxItems: 125; + items: { + type: 'array'; + items: [JsonSchema7Type, JsonSchema7Type]; + minItems: 2; + maxItems: 2; + }; +}; + +export function parseMapDef(def: ZodMapDef, refs: Refs): JsonSchema7MapType | JsonSchema7RecordType { + if (refs.mapStrategy === 'record') { + return parseRecordDef(def, refs); + } + + const keys = + parseDef(def.keyType._def, { + ...refs, + currentPath: [...refs.currentPath, 'items', 'items', '0'], + }) || {}; + const values = + parseDef(def.valueType._def, { + ...refs, + currentPath: [...refs.currentPath, 'items', 'items', '1'], + }) || {}; + return { + type: 'array', + maxItems: 125, + items: { + type: 'array', + items: [keys, values], + minItems: 2, + maxItems: 2, + }, + }; +} diff --git a/src/_vendor/zod-to-json-schema/parsers/nativeEnum.ts b/src/_vendor/zod-to-json-schema/parsers/nativeEnum.ts new file mode 100644 index 000000000..a2ed901bb --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/nativeEnum.ts @@ -0,0 +1,27 @@ +import { ZodNativeEnumDef } from 'zod'; + +export type JsonSchema7NativeEnumType = { + type: 'string' | 'number' | ['string', 'number']; + enum: (string | number)[]; +}; + +export function parseNativeEnumDef(def: ZodNativeEnumDef): JsonSchema7NativeEnumType { + const object = def.values; + const actualKeys = Object.keys(def.values).filter((key: string) => { + return typeof object[object[key]!] !== 'number'; + }); + + const actualValues = actualKeys.map((key: string) => object[key]!); + + const parsedTypes = Array.from(new Set(actualValues.map((values: string | number) => typeof values))); + + return { + type: + parsedTypes.length === 1 ? + parsedTypes[0] === 'string' ? + 'string' + : 'number' + : ['string', 'number'], + enum: actualValues, + }; +} diff --git a/src/_vendor/zod-to-json-schema/parsers/never.ts b/src/_vendor/zod-to-json-schema/parsers/never.ts new file mode 100644 index 000000000..a5c7383d7 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/never.ts @@ -0,0 +1,9 @@ +export type JsonSchema7NeverType = { + not: {}; +}; + +export function parseNeverDef(): JsonSchema7NeverType { + return { + not: {}, + }; +} diff --git a/src/_vendor/zod-to-json-schema/parsers/null.ts b/src/_vendor/zod-to-json-schema/parsers/null.ts new file mode 100644 index 000000000..e1fe11362 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/null.ts @@ -0,0 +1,16 @@ +import { Refs } from '../Refs'; + +export type JsonSchema7NullType = { + type: 'null'; +}; + +export function parseNullDef(refs: Refs): JsonSchema7NullType { + return refs.target === 'openApi3' ? + ({ + enum: ['null'], + nullable: true, + } as any) + : { + type: 'null', + }; +} diff --git a/src/_vendor/zod-to-json-schema/parsers/nullable.ts b/src/_vendor/zod-to-json-schema/parsers/nullable.ts new file mode 100644 index 000000000..0d7063610 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/nullable.ts @@ -0,0 +1,49 @@ +import { ZodNullableDef } from 'zod'; +import { JsonSchema7Type, parseDef } from '../parseDef'; +import { Refs } from '../Refs'; +import { JsonSchema7NullType } from './null'; +import { primitiveMappings } from './union'; + +export type JsonSchema7NullableType = + | { + anyOf: [JsonSchema7Type, JsonSchema7NullType]; + } + | { + type: [string, 'null']; + }; + +export function parseNullableDef(def: ZodNullableDef, refs: Refs): JsonSchema7NullableType | undefined { + if ( + ['ZodString', 'ZodNumber', 'ZodBigInt', 'ZodBoolean', 'ZodNull'].includes(def.innerType._def.typeName) && + (!def.innerType._def.checks || !def.innerType._def.checks.length) + ) { + if (refs.target === 'openApi3' || refs.nullableStrategy === 'property') { + return { + type: primitiveMappings[def.innerType._def.typeName as keyof typeof primitiveMappings], + nullable: true, + } as any; + } + + return { + type: [primitiveMappings[def.innerType._def.typeName as keyof typeof primitiveMappings], 'null'], + }; + } + + if (refs.target === 'openApi3') { + const base = parseDef(def.innerType._def, { + ...refs, + currentPath: [...refs.currentPath], + }); + + if (base && '$ref' in base) return { allOf: [base], nullable: true } as any; + + return base && ({ ...base, nullable: true } as any); + } + + const base = parseDef(def.innerType._def, { + ...refs, + currentPath: [...refs.currentPath, 'anyOf', '0'], + }); + + return base && { anyOf: [base, { type: 'null' }] }; +} diff --git a/src/_vendor/zod-to-json-schema/parsers/number.ts b/src/_vendor/zod-to-json-schema/parsers/number.ts new file mode 100644 index 000000000..45a1f3c02 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/number.ts @@ -0,0 +1,62 @@ +import { ZodNumberDef } from 'zod'; +import { addErrorMessage, ErrorMessages, setResponseValueAndErrors } from '../errorMessages'; +import { Refs } from '../Refs'; + +export type JsonSchema7NumberType = { + type: 'number' | 'integer'; + minimum?: number; + exclusiveMinimum?: number; + maximum?: number; + exclusiveMaximum?: number; + multipleOf?: number; + errorMessage?: ErrorMessages; +}; + +export function parseNumberDef(def: ZodNumberDef, refs: Refs): JsonSchema7NumberType { + const res: JsonSchema7NumberType = { + type: 'number', + }; + + if (!def.checks) return res; + + for (const check of def.checks) { + switch (check.kind) { + case 'int': + res.type = 'integer'; + addErrorMessage(res, 'type', check.message, refs); + break; + case 'min': + if (refs.target === 'jsonSchema7') { + if (check.inclusive) { + setResponseValueAndErrors(res, 'minimum', check.value, check.message, refs); + } else { + setResponseValueAndErrors(res, 'exclusiveMinimum', check.value, check.message, refs); + } + } else { + if (!check.inclusive) { + res.exclusiveMinimum = true as any; + } + setResponseValueAndErrors(res, 'minimum', check.value, check.message, refs); + } + break; + case 'max': + if (refs.target === 'jsonSchema7') { + if (check.inclusive) { + setResponseValueAndErrors(res, 'maximum', check.value, check.message, refs); + } else { + setResponseValueAndErrors(res, 'exclusiveMaximum', check.value, check.message, refs); + } + } else { + if (!check.inclusive) { + res.exclusiveMaximum = true as any; + } + setResponseValueAndErrors(res, 'maximum', check.value, check.message, refs); + } + break; + case 'multipleOf': + setResponseValueAndErrors(res, 'multipleOf', check.value, check.message, refs); + break; + } + } + return res; +} diff --git a/src/_vendor/zod-to-json-schema/parsers/object.ts b/src/_vendor/zod-to-json-schema/parsers/object.ts new file mode 100644 index 000000000..25e5db116 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/object.ts @@ -0,0 +1,71 @@ +import { ZodObjectDef } from 'zod'; +import { JsonSchema7Type, parseDef } from '../parseDef'; +import { Refs } from '../Refs'; + +function decideAdditionalProperties(def: ZodObjectDef, refs: Refs) { + if (refs.removeAdditionalStrategy === 'strict') { + return def.catchall._def.typeName === 'ZodNever' ? + def.unknownKeys !== 'strict' + : parseDef(def.catchall._def, { + ...refs, + currentPath: [...refs.currentPath, 'additionalProperties'], + }) ?? true; + } else { + return def.catchall._def.typeName === 'ZodNever' ? + def.unknownKeys === 'passthrough' + : parseDef(def.catchall._def, { + ...refs, + currentPath: [...refs.currentPath, 'additionalProperties'], + }) ?? true; + } +} + +export type JsonSchema7ObjectType = { + type: 'object'; + properties: Record; + additionalProperties: boolean | JsonSchema7Type; + required?: string[]; +}; + +export function parseObjectDef(def: ZodObjectDef, refs: Refs) { + const result: JsonSchema7ObjectType = { + type: 'object', + ...Object.entries(def.shape()).reduce( + ( + acc: { + properties: Record; + required: string[]; + }, + [propName, propDef], + ) => { + if (propDef === undefined || propDef._def === undefined) return acc; + const propertyPath = [...refs.currentPath, 'properties', propName]; + const parsedDef = parseDef(propDef._def, { + ...refs, + currentPath: propertyPath, + propertyPath, + }); + if (parsedDef === undefined) return acc; + if (refs.openaiStrictMode && propDef.isOptional() && !propDef.isNullable()) { + console.warn( + `Zod field at \`${propertyPath.join( + '/', + )}\` uses \`.optional()\` without \`.nullable()\` which is not supported by the API. See: https://platform.openai.com/docs/guides/structured-outputs?api-mode=responses#all-fields-must-be-required\nThis will become an error in a future version of the SDK.`, + ); + } + return { + properties: { + ...acc.properties, + [propName]: parsedDef, + }, + required: + propDef.isOptional() && !refs.openaiStrictMode ? acc.required : [...acc.required, propName], + }; + }, + { properties: {}, required: [] }, + ), + additionalProperties: decideAdditionalProperties(def, refs), + }; + if (!result.required!.length) delete result.required; + return result; +} diff --git a/src/_vendor/zod-to-json-schema/parsers/optional.ts b/src/_vendor/zod-to-json-schema/parsers/optional.ts new file mode 100644 index 000000000..9b3e9731f --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/optional.ts @@ -0,0 +1,25 @@ +import { ZodOptionalDef } from 'zod'; +import { JsonSchema7Type, parseDef } from '../parseDef'; +import { Refs } from '../Refs'; + +export const parseOptionalDef = (def: ZodOptionalDef, refs: Refs): JsonSchema7Type | undefined => { + if (refs.currentPath.toString() === refs.propertyPath?.toString()) { + return parseDef(def.innerType._def, refs); + } + + const innerSchema = parseDef(def.innerType._def, { + ...refs, + currentPath: [...refs.currentPath, 'anyOf', '1'], + }); + + return innerSchema ? + { + anyOf: [ + { + not: {}, + }, + innerSchema, + ], + } + : {}; +}; diff --git a/src/_vendor/zod-to-json-schema/parsers/pipeline.ts b/src/_vendor/zod-to-json-schema/parsers/pipeline.ts new file mode 100644 index 000000000..7fdcbae02 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/pipeline.ts @@ -0,0 +1,28 @@ +import { ZodPipelineDef } from 'zod'; +import { JsonSchema7Type, parseDef } from '../parseDef'; +import { Refs } from '../Refs'; +import { JsonSchema7AllOfType } from './intersection'; + +export const parsePipelineDef = ( + def: ZodPipelineDef, + refs: Refs, +): JsonSchema7AllOfType | JsonSchema7Type | undefined => { + if (refs.pipeStrategy === 'input') { + return parseDef(def.in._def, refs); + } else if (refs.pipeStrategy === 'output') { + return parseDef(def.out._def, refs); + } + + const a = parseDef(def.in._def, { + ...refs, + currentPath: [...refs.currentPath, 'allOf', '0'], + }); + const b = parseDef(def.out._def, { + ...refs, + currentPath: [...refs.currentPath, 'allOf', a ? '1' : '0'], + }); + + return { + allOf: [a, b].filter((x): x is JsonSchema7Type => x !== undefined), + }; +}; diff --git a/src/_vendor/zod-to-json-schema/parsers/promise.ts b/src/_vendor/zod-to-json-schema/parsers/promise.ts new file mode 100644 index 000000000..f586d1139 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/promise.ts @@ -0,0 +1,7 @@ +import { ZodPromiseDef } from 'zod'; +import { JsonSchema7Type, parseDef } from '../parseDef'; +import { Refs } from '../Refs'; + +export function parsePromiseDef(def: ZodPromiseDef, refs: Refs): JsonSchema7Type | undefined { + return parseDef(def.type._def, refs); +} diff --git a/src/_vendor/zod-to-json-schema/parsers/readonly.ts b/src/_vendor/zod-to-json-schema/parsers/readonly.ts new file mode 100644 index 000000000..cecb937d3 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/readonly.ts @@ -0,0 +1,7 @@ +import { ZodReadonlyDef } from 'zod'; +import { parseDef } from '../parseDef'; +import { Refs } from '../Refs'; + +export const parseReadonlyDef = (def: ZodReadonlyDef, refs: Refs) => { + return parseDef(def.innerType._def, refs); +}; diff --git a/src/_vendor/zod-to-json-schema/parsers/record.ts b/src/_vendor/zod-to-json-schema/parsers/record.ts new file mode 100644 index 000000000..7eff507fb --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/record.ts @@ -0,0 +1,73 @@ +import { ZodFirstPartyTypeKind, ZodMapDef, ZodRecordDef, ZodTypeAny } from 'zod'; +import { JsonSchema7Type, parseDef } from '../parseDef'; +import { Refs } from '../Refs'; +import { JsonSchema7EnumType } from './enum'; +import { JsonSchema7ObjectType } from './object'; +import { JsonSchema7StringType, parseStringDef } from './string'; + +type JsonSchema7RecordPropertyNamesType = + | Omit + | Omit; + +export type JsonSchema7RecordType = { + type: 'object'; + additionalProperties: JsonSchema7Type; + propertyNames?: JsonSchema7RecordPropertyNamesType; +}; + +export function parseRecordDef( + def: ZodRecordDef | ZodMapDef, + refs: Refs, +): JsonSchema7RecordType { + if (refs.target === 'openApi3' && def.keyType?._def.typeName === ZodFirstPartyTypeKind.ZodEnum) { + return { + type: 'object', + required: def.keyType._def.values, + properties: def.keyType._def.values.reduce( + (acc: Record, key: string) => ({ + ...acc, + [key]: + parseDef(def.valueType._def, { + ...refs, + currentPath: [...refs.currentPath, 'properties', key], + }) ?? {}, + }), + {}, + ), + additionalProperties: false, + } satisfies JsonSchema7ObjectType as any; + } + + const schema: JsonSchema7RecordType = { + type: 'object', + additionalProperties: + parseDef(def.valueType._def, { + ...refs, + currentPath: [...refs.currentPath, 'additionalProperties'], + }) ?? {}, + }; + + if (refs.target === 'openApi3') { + return schema; + } + + if (def.keyType?._def.typeName === ZodFirstPartyTypeKind.ZodString && def.keyType._def.checks?.length) { + const keyType: JsonSchema7RecordPropertyNamesType = Object.entries( + parseStringDef(def.keyType._def, refs), + ).reduce((acc, [key, value]) => (key === 'type' ? acc : { ...acc, [key]: value }), {}); + + return { + ...schema, + propertyNames: keyType, + }; + } else if (def.keyType?._def.typeName === ZodFirstPartyTypeKind.ZodEnum) { + return { + ...schema, + propertyNames: { + enum: def.keyType._def.values, + }, + }; + } + + return schema; +} diff --git a/src/_vendor/zod-to-json-schema/parsers/set.ts b/src/_vendor/zod-to-json-schema/parsers/set.ts new file mode 100644 index 000000000..05fa9ed79 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/set.ts @@ -0,0 +1,36 @@ +import { ZodSetDef } from 'zod'; +import { ErrorMessages, setResponseValueAndErrors } from '../errorMessages'; +import { JsonSchema7Type, parseDef } from '../parseDef'; +import { Refs } from '../Refs'; + +export type JsonSchema7SetType = { + type: 'array'; + uniqueItems: true; + items?: JsonSchema7Type | undefined; + minItems?: number; + maxItems?: number; + errorMessage?: ErrorMessages; +}; + +export function parseSetDef(def: ZodSetDef, refs: Refs): JsonSchema7SetType { + const items = parseDef(def.valueType._def, { + ...refs, + currentPath: [...refs.currentPath, 'items'], + }); + + const schema: JsonSchema7SetType = { + type: 'array', + uniqueItems: true, + items, + }; + + if (def.minSize) { + setResponseValueAndErrors(schema, 'minItems', def.minSize.value, def.minSize.message, refs); + } + + if (def.maxSize) { + setResponseValueAndErrors(schema, 'maxItems', def.maxSize.value, def.maxSize.message, refs); + } + + return schema; +} diff --git a/src/_vendor/zod-to-json-schema/parsers/string.ts b/src/_vendor/zod-to-json-schema/parsers/string.ts new file mode 100644 index 000000000..daa1a954a --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/string.ts @@ -0,0 +1,400 @@ +// @ts-nocheck +import { ZodStringDef } from 'zod'; +import { ErrorMessages, setResponseValueAndErrors } from '../errorMessages'; +import { Refs } from '../Refs'; + +let emojiRegex: RegExp | undefined; + +/** + * Generated from the regular expressions found here as of 2024-05-22: + * https://github.com/colinhacks/zod/blob/master/src/types.ts. + * + * Expressions with /i flag have been changed accordingly. + */ +export const zodPatterns = { + /** + * `c` was changed to `[cC]` to replicate /i flag + */ + cuid: /^[cC][^\s-]{8,}$/, + cuid2: /^[0-9a-z]+$/, + ulid: /^[0-9A-HJKMNP-TV-Z]{26}$/, + /** + * `a-z` was added to replicate /i flag + */ + email: /^(?!\.)(?!.*\.\.)([a-zA-Z0-9_'+\-\.]*)[a-zA-Z0-9_+-]@([a-zA-Z0-9][a-zA-Z0-9\-]*\.)+[a-zA-Z]{2,}$/, + /** + * Constructed a valid Unicode RegExp + * + * Lazily instantiate since this type of regex isn't supported + * in all envs (e.g. React Native). + * + * See: + * https://github.com/colinhacks/zod/issues/2433 + * Fix in Zod: + * https://github.com/colinhacks/zod/commit/9340fd51e48576a75adc919bff65dbc4a5d4c99b + */ + emoji: () => { + if (emojiRegex === undefined) { + emojiRegex = RegExp('^(\\p{Extended_Pictographic}|\\p{Emoji_Component})+$', 'u'); + } + return emojiRegex; + }, + /** + * Unused + */ + uuid: /^[0-9a-fA-F]{8}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{12}$/, + /** + * Unused + */ + ipv4: /^(?:(?:25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])\.){3}(?:25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])$/, + /** + * Unused + */ + ipv6: /^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/, + base64: /^([0-9a-zA-Z+/]{4})*(([0-9a-zA-Z+/]{2}==)|([0-9a-zA-Z+/]{3}=))?$/, + nanoid: /^[a-zA-Z0-9_-]{21}$/, +} as const; + +export type JsonSchema7StringType = { + type: 'string'; + minLength?: number; + maxLength?: number; + format?: + | 'email' + | 'idn-email' + | 'uri' + | 'uuid' + | 'date-time' + | 'ipv4' + | 'ipv6' + | 'date' + | 'time' + | 'duration'; + pattern?: string; + allOf?: { + pattern: string; + errorMessage?: ErrorMessages<{ pattern: string }>; + }[]; + anyOf?: { + format: string; + errorMessage?: ErrorMessages<{ format: string }>; + }[]; + errorMessage?: ErrorMessages; + contentEncoding?: string; +}; + +export function parseStringDef(def: ZodStringDef, refs: Refs): JsonSchema7StringType { + const res: JsonSchema7StringType = { + type: 'string', + }; + + function processPattern(value: string): string { + return refs.patternStrategy === 'escape' ? escapeNonAlphaNumeric(value) : value; + } + + if (def.checks) { + for (const check of def.checks) { + switch (check.kind) { + case 'min': + setResponseValueAndErrors( + res, + 'minLength', + typeof res.minLength === 'number' ? Math.max(res.minLength, check.value) : check.value, + check.message, + refs, + ); + break; + case 'max': + setResponseValueAndErrors( + res, + 'maxLength', + typeof res.maxLength === 'number' ? Math.min(res.maxLength, check.value) : check.value, + check.message, + refs, + ); + + break; + case 'email': + switch (refs.emailStrategy) { + case 'format:email': + addFormat(res, 'email', check.message, refs); + break; + case 'format:idn-email': + addFormat(res, 'idn-email', check.message, refs); + break; + case 'pattern:zod': + addPattern(res, zodPatterns.email, check.message, refs); + break; + } + + break; + case 'url': + addFormat(res, 'uri', check.message, refs); + break; + case 'uuid': + addFormat(res, 'uuid', check.message, refs); + break; + case 'regex': + addPattern(res, check.regex, check.message, refs); + break; + case 'cuid': + addPattern(res, zodPatterns.cuid, check.message, refs); + break; + case 'cuid2': + addPattern(res, zodPatterns.cuid2, check.message, refs); + break; + case 'startsWith': + addPattern(res, RegExp(`^${processPattern(check.value)}`), check.message, refs); + break; + case 'endsWith': + addPattern(res, RegExp(`${processPattern(check.value)}$`), check.message, refs); + break; + + case 'datetime': + addFormat(res, 'date-time', check.message, refs); + break; + case 'date': + addFormat(res, 'date', check.message, refs); + break; + case 'time': + addFormat(res, 'time', check.message, refs); + break; + case 'duration': + addFormat(res, 'duration', check.message, refs); + break; + case 'length': + setResponseValueAndErrors( + res, + 'minLength', + typeof res.minLength === 'number' ? Math.max(res.minLength, check.value) : check.value, + check.message, + refs, + ); + setResponseValueAndErrors( + res, + 'maxLength', + typeof res.maxLength === 'number' ? Math.min(res.maxLength, check.value) : check.value, + check.message, + refs, + ); + break; + case 'includes': { + addPattern(res, RegExp(processPattern(check.value)), check.message, refs); + break; + } + case 'ip': { + if (check.version !== 'v6') { + addFormat(res, 'ipv4', check.message, refs); + } + if (check.version !== 'v4') { + addFormat(res, 'ipv6', check.message, refs); + } + break; + } + case 'emoji': + addPattern(res, zodPatterns.emoji, check.message, refs); + break; + case 'ulid': { + addPattern(res, zodPatterns.ulid, check.message, refs); + break; + } + case 'base64': { + switch (refs.base64Strategy) { + case 'format:binary': { + addFormat(res, 'binary' as any, check.message, refs); + break; + } + + case 'contentEncoding:base64': { + setResponseValueAndErrors(res, 'contentEncoding', 'base64', check.message, refs); + break; + } + + case 'pattern:zod': { + addPattern(res, zodPatterns.base64, check.message, refs); + break; + } + } + break; + } + case 'nanoid': { + addPattern(res, zodPatterns.nanoid, check.message, refs); + } + case 'toLowerCase': + case 'toUpperCase': + case 'trim': + break; + default: + ((_: never) => {})(check); + } + } + } + + return res; +} + +const escapeNonAlphaNumeric = (value: string) => + Array.from(value) + .map((c) => (/[a-zA-Z0-9]/.test(c) ? c : `\\${c}`)) + .join(''); + +const addFormat = ( + schema: JsonSchema7StringType, + value: Required['format'], + message: string | undefined, + refs: Refs, +) => { + if (schema.format || schema.anyOf?.some((x) => x.format)) { + if (!schema.anyOf) { + schema.anyOf = []; + } + + if (schema.format) { + schema.anyOf!.push({ + format: schema.format, + ...(schema.errorMessage && + refs.errorMessages && { + errorMessage: { format: schema.errorMessage.format }, + }), + }); + delete schema.format; + if (schema.errorMessage) { + delete schema.errorMessage.format; + if (Object.keys(schema.errorMessage).length === 0) { + delete schema.errorMessage; + } + } + } + + schema.anyOf!.push({ + format: value, + ...(message && refs.errorMessages && { errorMessage: { format: message } }), + }); + } else { + setResponseValueAndErrors(schema, 'format', value, message, refs); + } +}; + +const addPattern = ( + schema: JsonSchema7StringType, + regex: RegExp | (() => RegExp), + message: string | undefined, + refs: Refs, +) => { + if (schema.pattern || schema.allOf?.some((x) => x.pattern)) { + if (!schema.allOf) { + schema.allOf = []; + } + + if (schema.pattern) { + schema.allOf!.push({ + pattern: schema.pattern, + ...(schema.errorMessage && + refs.errorMessages && { + errorMessage: { pattern: schema.errorMessage.pattern }, + }), + }); + delete schema.pattern; + if (schema.errorMessage) { + delete schema.errorMessage.pattern; + if (Object.keys(schema.errorMessage).length === 0) { + delete schema.errorMessage; + } + } + } + + schema.allOf!.push({ + pattern: processRegExp(regex, refs), + ...(message && refs.errorMessages && { errorMessage: { pattern: message } }), + }); + } else { + setResponseValueAndErrors(schema, 'pattern', processRegExp(regex, refs), message, refs); + } +}; + +// Mutate z.string.regex() in a best attempt to accommodate for regex flags when applyRegexFlags is true +const processRegExp = (regexOrFunction: RegExp | (() => RegExp), refs: Refs): string => { + const regex = typeof regexOrFunction === 'function' ? regexOrFunction() : regexOrFunction; + if (!refs.applyRegexFlags || !regex.flags) return regex.source; + + // Currently handled flags + const flags = { + i: regex.flags.includes('i'), // Case-insensitive + m: regex.flags.includes('m'), // `^` and `$` matches adjacent to newline characters + s: regex.flags.includes('s'), // `.` matches newlines + }; + + // The general principle here is to step through each character, one at a time, applying mutations as flags require. We keep track when the current character is escaped, and when it's inside a group /like [this]/ or (also) a range like /[a-z]/. The following is fairly brittle imperative code; edit at your peril! + + const source = flags.i ? regex.source.toLowerCase() : regex.source; + let pattern = ''; + let isEscaped = false; + let inCharGroup = false; + let inCharRange = false; + + for (let i = 0; i < source.length; i++) { + if (isEscaped) { + pattern += source[i]; + isEscaped = false; + continue; + } + + if (flags.i) { + if (inCharGroup) { + if (source[i].match(/[a-z]/)) { + if (inCharRange) { + pattern += source[i]; + pattern += `${source[i - 2]}-${source[i]}`.toUpperCase(); + inCharRange = false; + } else if (source[i + 1] === '-' && source[i + 2]?.match(/[a-z]/)) { + pattern += source[i]; + inCharRange = true; + } else { + pattern += `${source[i]}${source[i].toUpperCase()}`; + } + continue; + } + } else if (source[i].match(/[a-z]/)) { + pattern += `[${source[i]}${source[i].toUpperCase()}]`; + continue; + } + } + + if (flags.m) { + if (source[i] === '^') { + pattern += `(^|(?<=[\r\n]))`; + continue; + } else if (source[i] === '$') { + pattern += `($|(?=[\r\n]))`; + continue; + } + } + + if (flags.s && source[i] === '.') { + pattern += inCharGroup ? `${source[i]}\r\n` : `[${source[i]}\r\n]`; + continue; + } + + pattern += source[i]; + if (source[i] === '\\') { + isEscaped = true; + } else if (inCharGroup && source[i] === ']') { + inCharGroup = false; + } else if (!inCharGroup && source[i] === '[') { + inCharGroup = true; + } + } + + try { + const regexTest = new RegExp(pattern); + } catch { + console.warn( + `Could not convert regex pattern at ${refs.currentPath.join( + '/', + )} to a flag-independent form! Falling back to the flag-ignorant source`, + ); + return regex.source; + } + + return pattern; +}; diff --git a/src/_vendor/zod-to-json-schema/parsers/tuple.ts b/src/_vendor/zod-to-json-schema/parsers/tuple.ts new file mode 100644 index 000000000..b2a824006 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/tuple.ts @@ -0,0 +1,54 @@ +import { ZodTupleDef, ZodTupleItems, ZodTypeAny } from 'zod'; +import { JsonSchema7Type, parseDef } from '../parseDef'; +import { Refs } from '../Refs'; + +export type JsonSchema7TupleType = { + type: 'array'; + minItems: number; + items: JsonSchema7Type[]; +} & ( + | { + maxItems: number; + } + | { + additionalItems?: JsonSchema7Type | undefined; + } +); + +export function parseTupleDef( + def: ZodTupleDef, + refs: Refs, +): JsonSchema7TupleType { + if (def.rest) { + return { + type: 'array', + minItems: def.items.length, + items: def.items + .map((x, i) => + parseDef(x._def, { + ...refs, + currentPath: [...refs.currentPath, 'items', `${i}`], + }), + ) + .reduce((acc: JsonSchema7Type[], x) => (x === undefined ? acc : [...acc, x]), []), + additionalItems: parseDef(def.rest._def, { + ...refs, + currentPath: [...refs.currentPath, 'additionalItems'], + }), + }; + } else { + return { + type: 'array', + minItems: def.items.length, + maxItems: def.items.length, + items: def.items + .map((x, i) => + parseDef(x._def, { + ...refs, + currentPath: [...refs.currentPath, 'items', `${i}`], + }), + ) + .reduce((acc: JsonSchema7Type[], x) => (x === undefined ? acc : [...acc, x]), []), + }; + } +} diff --git a/src/_vendor/zod-to-json-schema/parsers/undefined.ts b/src/_vendor/zod-to-json-schema/parsers/undefined.ts new file mode 100644 index 000000000..6864d8138 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/undefined.ts @@ -0,0 +1,9 @@ +export type JsonSchema7UndefinedType = { + not: {}; +}; + +export function parseUndefinedDef(): JsonSchema7UndefinedType { + return { + not: {}, + }; +} diff --git a/src/_vendor/zod-to-json-schema/parsers/union.ts b/src/_vendor/zod-to-json-schema/parsers/union.ts new file mode 100644 index 000000000..1daf14908 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/union.ts @@ -0,0 +1,119 @@ +import { ZodDiscriminatedUnionDef, ZodLiteralDef, ZodTypeAny, ZodUnionDef } from 'zod'; +import { JsonSchema7Type, parseDef } from '../parseDef'; +import { Refs } from '../Refs'; + +export const primitiveMappings = { + ZodString: 'string', + ZodNumber: 'number', + ZodBigInt: 'integer', + ZodBoolean: 'boolean', + ZodNull: 'null', +} as const; +type ZodPrimitive = keyof typeof primitiveMappings; +type JsonSchema7Primitive = (typeof primitiveMappings)[keyof typeof primitiveMappings]; + +export type JsonSchema7UnionType = JsonSchema7PrimitiveUnionType | JsonSchema7AnyOfType; + +type JsonSchema7PrimitiveUnionType = + | { + type: JsonSchema7Primitive | JsonSchema7Primitive[]; + } + | { + type: JsonSchema7Primitive | JsonSchema7Primitive[]; + enum: (string | number | bigint | boolean | null)[]; + }; + +type JsonSchema7AnyOfType = { + anyOf: JsonSchema7Type[]; +}; + +export function parseUnionDef( + def: ZodUnionDef | ZodDiscriminatedUnionDef, + refs: Refs, +): JsonSchema7PrimitiveUnionType | JsonSchema7AnyOfType | undefined { + if (refs.target === 'openApi3') return asAnyOf(def, refs); + + const options: readonly ZodTypeAny[] = + def.options instanceof Map ? Array.from(def.options.values()) : def.options; + + // This blocks tries to look ahead a bit to produce nicer looking schemas with type array instead of anyOf. + if ( + options.every((x) => x._def.typeName in primitiveMappings && (!x._def.checks || !x._def.checks.length)) + ) { + // all types in union are primitive and lack checks, so might as well squash into {type: [...]} + + const types = options.reduce((types: JsonSchema7Primitive[], x) => { + const type = primitiveMappings[x._def.typeName as ZodPrimitive]; //Can be safely casted due to row 43 + return type && !types.includes(type) ? [...types, type] : types; + }, []); + + return { + type: types.length > 1 ? types : types[0]!, + }; + } else if (options.every((x) => x._def.typeName === 'ZodLiteral' && !x.description)) { + // all options literals + + const types = options.reduce((acc: JsonSchema7Primitive[], x: { _def: ZodLiteralDef }) => { + const type = typeof x._def.value; + switch (type) { + case 'string': + case 'number': + case 'boolean': + return [...acc, type]; + case 'bigint': + return [...acc, 'integer' as const]; + case 'object': + if (x._def.value === null) return [...acc, 'null' as const]; + case 'symbol': + case 'undefined': + case 'function': + default: + return acc; + } + }, []); + + if (types.length === options.length) { + // all the literals are primitive, as far as null can be considered primitive + + const uniqueTypes = types.filter((x, i, a) => a.indexOf(x) === i); + return { + type: uniqueTypes.length > 1 ? uniqueTypes : uniqueTypes[0]!, + enum: options.reduce( + (acc, x) => { + return acc.includes(x._def.value) ? acc : [...acc, x._def.value]; + }, + [] as (string | number | bigint | boolean | null)[], + ), + }; + } + } else if (options.every((x) => x._def.typeName === 'ZodEnum')) { + return { + type: 'string', + enum: options.reduce( + (acc: string[], x) => [...acc, ...x._def.values.filter((x: string) => !acc.includes(x))], + [], + ), + }; + } + + return asAnyOf(def, refs); +} + +const asAnyOf = ( + def: ZodUnionDef | ZodDiscriminatedUnionDef, + refs: Refs, +): JsonSchema7PrimitiveUnionType | JsonSchema7AnyOfType | undefined => { + const anyOf = ((def.options instanceof Map ? Array.from(def.options.values()) : def.options) as any[]) + .map((x, i) => + parseDef(x._def, { + ...refs, + currentPath: [...refs.currentPath, 'anyOf', `${i}`], + }), + ) + .filter( + (x): x is JsonSchema7Type => + !!x && (!refs.strictUnions || (typeof x === 'object' && Object.keys(x).length > 0)), + ); + + return anyOf.length ? { anyOf } : undefined; +}; diff --git a/src/_vendor/zod-to-json-schema/parsers/unknown.ts b/src/_vendor/zod-to-json-schema/parsers/unknown.ts new file mode 100644 index 000000000..a3c8d1d96 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/parsers/unknown.ts @@ -0,0 +1,5 @@ +export type JsonSchema7UnknownType = {}; + +export function parseUnknownDef(): JsonSchema7UnknownType { + return {}; +} diff --git a/src/_vendor/zod-to-json-schema/util.ts b/src/_vendor/zod-to-json-schema/util.ts new file mode 100644 index 000000000..870ab47a2 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/util.ts @@ -0,0 +1,11 @@ +import type { ZodSchema, ZodTypeDef } from 'zod'; + +export const zodDef = (zodSchema: ZodSchema | ZodTypeDef): ZodTypeDef => { + return '_def' in zodSchema ? zodSchema._def : zodSchema; +}; + +export function isEmptyObj(obj: Object | null | undefined): boolean { + if (!obj) return true; + for (const _k in obj) return false; + return true; +} diff --git a/src/_vendor/zod-to-json-schema/zodToJsonSchema.ts b/src/_vendor/zod-to-json-schema/zodToJsonSchema.ts new file mode 100644 index 000000000..e0d63d525 --- /dev/null +++ b/src/_vendor/zod-to-json-schema/zodToJsonSchema.ts @@ -0,0 +1,120 @@ +import { ZodSchema } from 'zod'; +import { Options, Targets } from './Options'; +import { JsonSchema7Type, parseDef } from './parseDef'; +import { getRefs } from './Refs'; +import { zodDef, isEmptyObj } from './util'; + +const zodToJsonSchema = ( + schema: ZodSchema, + options?: Partial> | string, +): (Target extends 'jsonSchema7' ? JsonSchema7Type : object) & { + $schema?: string; + definitions?: { + [key: string]: Target extends 'jsonSchema7' ? JsonSchema7Type + : Target extends 'jsonSchema2019-09' ? JsonSchema7Type + : object; + }; +} => { + const refs = getRefs(options); + + const name = + typeof options === 'string' ? options + : options?.nameStrategy === 'title' ? undefined + : options?.name; + + const main = + parseDef( + schema._def, + name === undefined ? refs : ( + { + ...refs, + currentPath: [...refs.basePath, refs.definitionPath, name], + } + ), + false, + ) ?? {}; + + const title = + typeof options === 'object' && options.name !== undefined && options.nameStrategy === 'title' ? + options.name + : undefined; + + if (title !== undefined) { + main.title = title; + } + + const definitions = (() => { + if (isEmptyObj(refs.definitions)) { + return undefined; + } + + const definitions: Record = {}; + const processedDefinitions = new Set(); + + // the call to `parseDef()` here might itself add more entries to `.definitions` + // so we need to continually evaluate definitions until we've resolved all of them + // + // we have a generous iteration limit here to avoid blowing up the stack if there + // are any bugs that would otherwise result in us iterating indefinitely + for (let i = 0; i < 500; i++) { + const newDefinitions = Object.entries(refs.definitions).filter( + ([key]) => !processedDefinitions.has(key), + ); + if (newDefinitions.length === 0) break; + + for (const [key, schema] of newDefinitions) { + definitions[key] = + parseDef( + zodDef(schema), + { ...refs, currentPath: [...refs.basePath, refs.definitionPath, key] }, + true, + ) ?? {}; + processedDefinitions.add(key); + } + } + + return definitions; + })(); + + const combined: ReturnType> = + name === undefined ? + definitions ? + { + ...main, + [refs.definitionPath]: definitions, + } + : main + : refs.nameStrategy === 'duplicate-ref' ? + { + ...main, + ...(definitions || refs.seenRefs.size ? + { + [refs.definitionPath]: { + ...definitions, + // only actually duplicate the schema definition if it was ever referenced + // otherwise the duplication is completely pointless + ...(refs.seenRefs.size ? { [name]: main } : undefined), + }, + } + : undefined), + } + : { + $ref: [...(refs.$refStrategy === 'relative' ? [] : refs.basePath), refs.definitionPath, name].join( + '/', + ), + [refs.definitionPath]: { + ...definitions, + [name]: main, + }, + }; + + if (refs.target === 'jsonSchema7') { + combined.$schema = 'http://json-schema.org/draft-07/schema#'; + } else if (refs.target === 'jsonSchema2019-09') { + combined.$schema = 'https://json-schema.org/draft/2019-09/schema#'; + } + + return combined; +}; + +export { zodToJsonSchema }; diff --git a/src/beta/realtime/index.ts b/src/beta/realtime/index.ts new file mode 100644 index 000000000..75f0f3088 --- /dev/null +++ b/src/beta/realtime/index.ts @@ -0,0 +1 @@ +export { OpenAIRealtimeError } from './internal-base'; diff --git a/src/beta/realtime/internal-base.ts b/src/beta/realtime/internal-base.ts new file mode 100644 index 000000000..b704812ee --- /dev/null +++ b/src/beta/realtime/internal-base.ts @@ -0,0 +1,93 @@ +import { RealtimeClientEvent, RealtimeServerEvent, ErrorEvent } from '../../resources/beta/realtime/realtime'; +import { EventEmitter } from '../../lib/EventEmitter'; +import { OpenAIError } from '../../error'; +import OpenAI, { AzureOpenAI } from '../../index'; + +export class OpenAIRealtimeError extends OpenAIError { + /** + * The error data that the API sent back in an `error` event. + */ + error?: ErrorEvent.Error | undefined; + + /** + * The unique ID of the server event. + */ + event_id?: string | undefined; + + constructor(message: string, event: ErrorEvent | null) { + super(message); + + this.error = event?.error; + this.event_id = event?.event_id; + } +} + +type Simplify = { [KeyType in keyof T]: T[KeyType] } & {}; + +type RealtimeEvents = Simplify< + { + event: (event: RealtimeServerEvent) => void; + error: (error: OpenAIRealtimeError) => void; + } & { + [EventType in Exclude]: ( + event: Extract, + ) => unknown; + } +>; + +export abstract class OpenAIRealtimeEmitter extends EventEmitter { + /** + * Send an event to the API. + */ + abstract send(event: RealtimeClientEvent): void; + + /** + * Close the websocket connection. + */ + abstract close(props?: { code: number; reason: string }): void; + + protected _onError(event: null, message: string, cause: any): void; + protected _onError(event: ErrorEvent, message?: string | undefined): void; + protected _onError(event: ErrorEvent | null, message?: string | undefined, cause?: any): void { + message = + event?.error ? + `${event.error.message} code=${event.error.code} param=${event.error.param} type=${event.error.type} event_id=${event.error.event_id}` + : message ?? 'unknown error'; + + if (!this._hasListener('error')) { + const error = new OpenAIRealtimeError( + message + + `\n\nTo resolve these unhandled rejection errors you should bind an \`error\` callback, e.g. \`rt.on('error', (error) => ...)\` `, + event, + ); + // @ts-ignore + error.cause = cause; + Promise.reject(error); + return; + } + + const error = new OpenAIRealtimeError(message, event); + // @ts-ignore + error.cause = cause; + + this._emit('error', error); + } +} + +export function isAzure(client: Pick): client is AzureOpenAI { + return client instanceof AzureOpenAI; +} + +export function buildRealtimeURL(client: Pick, model: string): URL { + const path = '/realtime'; + const baseURL = client.baseURL; + const url = new URL(baseURL + (baseURL.endsWith('/') ? path.slice(1) : path)); + url.protocol = 'wss'; + if (isAzure(client)) { + url.searchParams.set('api-version', client.apiVersion); + url.searchParams.set('deployment', model); + } else { + url.searchParams.set('model', model); + } + return url; +} diff --git a/src/beta/realtime/websocket.ts b/src/beta/realtime/websocket.ts new file mode 100644 index 000000000..e8900e809 --- /dev/null +++ b/src/beta/realtime/websocket.ts @@ -0,0 +1,143 @@ +import { AzureOpenAI, OpenAI } from '../../index'; +import { OpenAIError } from '../../error'; +import * as Core from '../../core'; +import type { RealtimeClientEvent, RealtimeServerEvent } from '../../resources/beta/realtime/realtime'; +import { OpenAIRealtimeEmitter, buildRealtimeURL, isAzure } from './internal-base'; + +interface MessageEvent { + data: string; +} + +type _WebSocket = + typeof globalThis extends ( + { + WebSocket: infer ws extends abstract new (...args: any) => any; + } + ) ? + // @ts-ignore + InstanceType + : any; + +export class OpenAIRealtimeWebSocket extends OpenAIRealtimeEmitter { + url: URL; + socket: _WebSocket; + + constructor( + props: { + model: string; + dangerouslyAllowBrowser?: boolean; + /** + * Callback to mutate the URL, needed for Azure. + * @internal + */ + onURL?: (url: URL) => void; + }, + client?: Pick, + ) { + super(); + + const dangerouslyAllowBrowser = + props.dangerouslyAllowBrowser ?? + (client as any)?._options?.dangerouslyAllowBrowser ?? + (client?.apiKey.startsWith('ek_') ? true : null); + + if (!dangerouslyAllowBrowser && Core.isRunningInBrowser()) { + throw new OpenAIError( + "It looks like you're running in a browser-like environment.\n\nThis is disabled by default, as it risks exposing your secret API credentials to attackers.\n\nYou can avoid this error by creating an ephemeral session token:\nhttps://platform.openai.com/docs/api-reference/realtime-sessions\n", + ); + } + + client ??= new OpenAI({ dangerouslyAllowBrowser }); + + this.url = buildRealtimeURL(client, props.model); + props.onURL?.(this.url); + + // @ts-ignore + this.socket = new WebSocket(this.url.toString(), [ + 'realtime', + ...(isAzure(client) ? [] : [`openai-insecure-api-key.${client.apiKey}`]), + 'openai-beta.realtime-v1', + ]); + + this.socket.addEventListener('message', (websocketEvent: MessageEvent) => { + const event = (() => { + try { + return JSON.parse(websocketEvent.data.toString()) as RealtimeServerEvent; + } catch (err) { + this._onError(null, 'could not parse websocket event', err); + return null; + } + })(); + + if (event) { + this._emit('event', event); + + if (event.type === 'error') { + this._onError(event); + } else { + // @ts-expect-error TS isn't smart enough to get the relationship right here + this._emit(event.type, event); + } + } + }); + + this.socket.addEventListener('error', (event: any) => { + this._onError(null, event.message, null); + }); + + if (isAzure(client)) { + if (this.url.searchParams.get('Authorization') !== null) { + this.url.searchParams.set('Authorization', ''); + } else { + this.url.searchParams.set('api-key', ''); + } + } + } + + static async azure( + client: Pick, + options: { deploymentName?: string; dangerouslyAllowBrowser?: boolean } = {}, + ): Promise { + const token = await client._getAzureADToken(); + function onURL(url: URL) { + if (client.apiKey !== '') { + url.searchParams.set('api-key', client.apiKey); + } else { + if (token) { + url.searchParams.set('Authorization', `Bearer ${token}`); + } else { + throw new Error('AzureOpenAI is not instantiated correctly. No API key or token provided.'); + } + } + } + const deploymentName = options.deploymentName ?? client.deploymentName; + if (!deploymentName) { + throw new Error('No deployment name provided'); + } + const { dangerouslyAllowBrowser } = options; + return new OpenAIRealtimeWebSocket( + { + model: deploymentName, + onURL, + ...(dangerouslyAllowBrowser ? { dangerouslyAllowBrowser } : {}), + }, + client, + ); + } + + send(event: RealtimeClientEvent) { + try { + this.socket.send(JSON.stringify(event)); + } catch (err) { + this._onError(null, 'could not send data', err); + } + } + + close(props?: { code: number; reason: string }) { + try { + this.socket.close(props?.code ?? 1000, props?.reason ?? 'OK'); + } catch (err) { + this._onError(null, 'could not close the connection', err); + } + } +} diff --git a/src/beta/realtime/ws.ts b/src/beta/realtime/ws.ts new file mode 100644 index 000000000..3f51dfc4b --- /dev/null +++ b/src/beta/realtime/ws.ts @@ -0,0 +1,96 @@ +import * as WS from 'ws'; +import { AzureOpenAI, OpenAI } from '../../index'; +import type { RealtimeClientEvent, RealtimeServerEvent } from '../../resources/beta/realtime/realtime'; +import { OpenAIRealtimeEmitter, buildRealtimeURL, isAzure } from './internal-base'; + +export class OpenAIRealtimeWS extends OpenAIRealtimeEmitter { + url: URL; + socket: WS.WebSocket; + + constructor( + props: { model: string; options?: WS.ClientOptions | undefined }, + client?: Pick, + ) { + super(); + client ??= new OpenAI(); + + this.url = buildRealtimeURL(client, props.model); + this.socket = new WS.WebSocket(this.url, { + ...props.options, + headers: { + ...props.options?.headers, + ...(isAzure(client) ? {} : { Authorization: `Bearer ${client.apiKey}` }), + 'OpenAI-Beta': 'realtime=v1', + }, + }); + + this.socket.on('message', (wsEvent) => { + const event = (() => { + try { + return JSON.parse(wsEvent.toString()) as RealtimeServerEvent; + } catch (err) { + this._onError(null, 'could not parse websocket event', err); + return null; + } + })(); + + if (event) { + this._emit('event', event); + + if (event.type === 'error') { + this._onError(event); + } else { + // @ts-expect-error TS isn't smart enough to get the relationship right here + this._emit(event.type, event); + } + } + }); + + this.socket.on('error', (err) => { + this._onError(null, err.message, err); + }); + } + + static async azure( + client: Pick, + options: { deploymentName?: string; options?: WS.ClientOptions | undefined } = {}, + ): Promise { + const deploymentName = options.deploymentName ?? client.deploymentName; + if (!deploymentName) { + throw new Error('No deployment name provided'); + } + return new OpenAIRealtimeWS( + { model: deploymentName, options: { headers: await getAzureHeaders(client) } }, + client, + ); + } + + send(event: RealtimeClientEvent) { + try { + this.socket.send(JSON.stringify(event)); + } catch (err) { + this._onError(null, 'could not send data', err); + } + } + + close(props?: { code: number; reason: string }) { + try { + this.socket.close(props?.code ?? 1000, props?.reason ?? 'OK'); + } catch (err) { + this._onError(null, 'could not close the connection', err); + } + } +} + +async function getAzureHeaders(client: Pick) { + if (client.apiKey !== '') { + return { 'api-key': client.apiKey }; + } else { + const token = await client._getAzureADToken(); + if (token) { + return { Authorization: `Bearer ${token}` }; + } else { + throw new Error('AzureOpenAI is not instantiated correctly. No API key or token provided.'); + } + } +} diff --git a/src/core.ts b/src/core.ts new file mode 100644 index 000000000..cfd4eeaa6 --- /dev/null +++ b/src/core.ts @@ -0,0 +1,1330 @@ +import { VERSION } from './version'; +import { Stream } from './streaming'; +import { + OpenAIError, + APIError, + APIConnectionError, + APIConnectionTimeoutError, + APIUserAbortError, +} from './error'; +import { + kind as shimsKind, + type Readable, + getDefaultAgent, + type Agent, + fetch, + type RequestInfo, + type RequestInit, + type Response, + type HeadersInit, + init, +} from './_shims/index'; + +// try running side effects outside of _shims/index to workaround https://github.com/vercel/next.js/issues/76881 +init(); + +export { type Response }; +import { BlobLike, isBlobLike, isMultipartBody } from './uploads'; +export { + maybeMultipartFormRequestOptions, + multipartFormRequestOptions, + createForm, + type Uploadable, +} from './uploads'; + +export type Fetch = (url: RequestInfo, init?: RequestInit) => Promise; + +/** + * An alias to the builtin `Array` type so we can + * easily alias it in import statements if there are name clashes. + */ +type _Array = Array; + +/** + * An alias to the builtin `Record` type so we can + * easily alias it in import statements if there are name clashes. + */ +type _Record = Record; + +export type { _Array as Array, _Record as Record }; + +type PromiseOrValue = T | Promise; + +type APIResponseProps = { + response: Response; + options: FinalRequestOptions; + controller: AbortController; +}; + +async function defaultParseResponse(props: APIResponseProps): Promise> { + const { response } = props; + if (props.options.stream) { + debug('response', response.status, response.url, response.headers, response.body); + + // Note: there is an invariant here that isn't represented in the type system + // that if you set `stream: true` the response type must also be `Stream` + + if (props.options.__streamClass) { + return props.options.__streamClass.fromSSEResponse(response, props.controller) as any; + } + + return Stream.fromSSEResponse(response, props.controller) as any; + } + + // fetch refuses to read the body when the status code is 204. + if (response.status === 204) { + return null as WithRequestID; + } + + if (props.options.__binaryResponse) { + return response as unknown as WithRequestID; + } + + const contentType = response.headers.get('content-type'); + const mediaType = contentType?.split(';')[0]?.trim(); + const isJSON = mediaType?.includes('application/json') || mediaType?.endsWith('+json'); + if (isJSON) { + const json = await response.json(); + + debug('response', response.status, response.url, response.headers, json); + + return _addRequestID(json, response); + } + + const text = await response.text(); + debug('response', response.status, response.url, response.headers, text); + + // TODO handle blob, arraybuffer, other content types, etc. + return text as unknown as WithRequestID; +} + +type WithRequestID = + T extends Array | Response | AbstractPage ? T + : T extends Record ? T & { _request_id?: string | null } + : T; + +function _addRequestID(value: T, response: Response): WithRequestID { + if (!value || typeof value !== 'object' || Array.isArray(value)) { + return value as WithRequestID; + } + + return Object.defineProperty(value, '_request_id', { + value: response.headers.get('x-request-id'), + enumerable: false, + }) as WithRequestID; +} + +/** + * A subclass of `Promise` providing additional helper methods + * for interacting with the SDK. + */ +export class APIPromise extends Promise> { + private parsedPromise: Promise> | undefined; + + constructor( + private responsePromise: Promise, + private parseResponse: ( + props: APIResponseProps, + ) => PromiseOrValue> = defaultParseResponse, + ) { + super((resolve) => { + // this is maybe a bit weird but this has to be a no-op to not implicitly + // parse the response body; instead .then, .catch, .finally are overridden + // to parse the response + resolve(null as any); + }); + } + + _thenUnwrap(transform: (data: T, props: APIResponseProps) => U): APIPromise { + return new APIPromise(this.responsePromise, async (props) => + _addRequestID(transform(await this.parseResponse(props), props), props.response), + ); + } + + /** + * Gets the raw `Response` instance instead of parsing the response + * data. + * + * If you want to parse the response body but still get the `Response` + * instance, you can use {@link withResponse()}. + * + * 👋 Getting the wrong TypeScript type for `Response`? + * Try setting `"moduleResolution": "NodeNext"` if you can, + * or add one of these imports before your first `import … from 'openai'`: + * - `import 'openai/shims/node'` (if you're running on Node) + * - `import 'openai/shims/web'` (otherwise) + */ + asResponse(): Promise { + return this.responsePromise.then((p) => p.response); + } + + /** + * Gets the parsed response data, the raw `Response` instance and the ID of the request, + * returned via the X-Request-ID header which is useful for debugging requests and reporting + * issues to OpenAI. + * + * If you just want to get the raw `Response` instance without parsing it, + * you can use {@link asResponse()}. + * + * + * 👋 Getting the wrong TypeScript type for `Response`? + * Try setting `"moduleResolution": "NodeNext"` if you can, + * or add one of these imports before your first `import … from 'openai'`: + * - `import 'openai/shims/node'` (if you're running on Node) + * - `import 'openai/shims/web'` (otherwise) + */ + async withResponse(): Promise<{ data: T; response: Response; request_id: string | null | undefined }> { + const [data, response] = await Promise.all([this.parse(), this.asResponse()]); + return { data, response, request_id: response.headers.get('x-request-id') }; + } + + private parse(): Promise> { + if (!this.parsedPromise) { + this.parsedPromise = this.responsePromise.then(this.parseResponse) as any as Promise>; + } + return this.parsedPromise; + } + + override then, TResult2 = never>( + onfulfilled?: ((value: WithRequestID) => TResult1 | PromiseLike) | undefined | null, + onrejected?: ((reason: any) => TResult2 | PromiseLike) | undefined | null, + ): Promise { + return this.parse().then(onfulfilled, onrejected); + } + + override catch( + onrejected?: ((reason: any) => TResult | PromiseLike) | undefined | null, + ): Promise | TResult> { + return this.parse().catch(onrejected); + } + + override finally(onfinally?: (() => void) | undefined | null): Promise> { + return this.parse().finally(onfinally); + } +} + +export abstract class APIClient { + baseURL: string; + maxRetries: number; + timeout: number; + httpAgent: Agent | undefined; + + private fetch: Fetch; + protected idempotencyHeader?: string; + + constructor({ + baseURL, + maxRetries = 2, + timeout = 600000, // 10 minutes + httpAgent, + fetch: overriddenFetch, + }: { + baseURL: string; + maxRetries?: number | undefined; + timeout: number | undefined; + httpAgent: Agent | undefined; + fetch: Fetch | undefined; + }) { + this.baseURL = baseURL; + this.maxRetries = validatePositiveInteger('maxRetries', maxRetries); + this.timeout = validatePositiveInteger('timeout', timeout); + this.httpAgent = httpAgent; + + this.fetch = overriddenFetch ?? fetch; + } + + protected authHeaders(opts: FinalRequestOptions): Headers { + return {}; + } + + /** + * Override this to add your own default headers, for example: + * + * { + * ...super.defaultHeaders(), + * Authorization: 'Bearer 123', + * } + */ + protected defaultHeaders(opts: FinalRequestOptions): Headers { + return { + Accept: 'application/json', + 'Content-Type': 'application/json', + 'User-Agent': this.getUserAgent(), + ...getPlatformHeaders(), + ...this.authHeaders(opts), + }; + } + + protected abstract defaultQuery(): DefaultQuery | undefined; + + /** + * Override this to add your own headers validation: + */ + protected validateHeaders(headers: Headers, customHeaders: Headers) {} + + protected defaultIdempotencyKey(): string { + return `stainless-node-retry-${uuid4()}`; + } + + get(path: string, opts?: PromiseOrValue>): APIPromise { + return this.methodRequest('get', path, opts); + } + + post(path: string, opts?: PromiseOrValue>): APIPromise { + return this.methodRequest('post', path, opts); + } + + patch(path: string, opts?: PromiseOrValue>): APIPromise { + return this.methodRequest('patch', path, opts); + } + + put(path: string, opts?: PromiseOrValue>): APIPromise { + return this.methodRequest('put', path, opts); + } + + delete(path: string, opts?: PromiseOrValue>): APIPromise { + return this.methodRequest('delete', path, opts); + } + + private methodRequest( + method: HTTPMethod, + path: string, + opts?: PromiseOrValue>, + ): APIPromise { + return this.request( + Promise.resolve(opts).then(async (opts) => { + const body = + opts && isBlobLike(opts?.body) ? new DataView(await opts.body.arrayBuffer()) + : opts?.body instanceof DataView ? opts.body + : opts?.body instanceof ArrayBuffer ? new DataView(opts.body) + : opts && ArrayBuffer.isView(opts?.body) ? new DataView(opts.body.buffer) + : opts?.body; + return { method, path, ...opts, body }; + }), + ); + } + + getAPIList = AbstractPage>( + path: string, + Page: new (...args: any[]) => PageClass, + opts?: RequestOptions, + ): PagePromise { + return this.requestAPIList(Page, { method: 'get', path, ...opts }); + } + + private calculateContentLength(body: unknown): string | null { + if (typeof body === 'string') { + if (typeof Buffer !== 'undefined') { + return Buffer.byteLength(body, 'utf8').toString(); + } + + if (typeof TextEncoder !== 'undefined') { + const encoder = new TextEncoder(); + const encoded = encoder.encode(body); + return encoded.length.toString(); + } + } else if (ArrayBuffer.isView(body)) { + return body.byteLength.toString(); + } + + return null; + } + + buildRequest( + inputOptions: FinalRequestOptions, + { retryCount = 0 }: { retryCount?: number } = {}, + ): { req: RequestInit; url: string; timeout: number } { + const options = { ...inputOptions }; + const { method, path, query, headers: headers = {} } = options; + + const body = + ArrayBuffer.isView(options.body) || (options.__binaryRequest && typeof options.body === 'string') ? + options.body + : isMultipartBody(options.body) ? options.body.body + : options.body ? JSON.stringify(options.body, null, 2) + : null; + const contentLength = this.calculateContentLength(body); + + const url = this.buildURL(path!, query); + if ('timeout' in options) validatePositiveInteger('timeout', options.timeout); + options.timeout = options.timeout ?? this.timeout; + const httpAgent = options.httpAgent ?? this.httpAgent ?? getDefaultAgent(url); + const minAgentTimeout = options.timeout + 1000; + if ( + typeof (httpAgent as any)?.options?.timeout === 'number' && + minAgentTimeout > ((httpAgent as any).options.timeout ?? 0) + ) { + // Allow any given request to bump our agent active socket timeout. + // This may seem strange, but leaking active sockets should be rare and not particularly problematic, + // and without mutating agent we would need to create more of them. + // This tradeoff optimizes for performance. + (httpAgent as any).options.timeout = minAgentTimeout; + } + + if (this.idempotencyHeader && method !== 'get') { + if (!inputOptions.idempotencyKey) inputOptions.idempotencyKey = this.defaultIdempotencyKey(); + headers[this.idempotencyHeader] = inputOptions.idempotencyKey; + } + + const reqHeaders = this.buildHeaders({ options, headers, contentLength, retryCount }); + + const req: RequestInit = { + method, + ...(body && { body: body as any }), + headers: reqHeaders, + ...(httpAgent && { agent: httpAgent }), + // @ts-ignore node-fetch uses a custom AbortSignal type that is + // not compatible with standard web types + signal: options.signal ?? null, + }; + + return { req, url, timeout: options.timeout }; + } + + private buildHeaders({ + options, + headers, + contentLength, + retryCount, + }: { + options: FinalRequestOptions; + headers: Record; + contentLength: string | null | undefined; + retryCount: number; + }): Record { + const reqHeaders: Record = {}; + if (contentLength) { + reqHeaders['content-length'] = contentLength; + } + + const defaultHeaders = this.defaultHeaders(options); + applyHeadersMut(reqHeaders, defaultHeaders); + applyHeadersMut(reqHeaders, headers); + + // let builtin fetch set the Content-Type for multipart bodies + if (isMultipartBody(options.body) && shimsKind !== 'node') { + delete reqHeaders['content-type']; + } + + // Don't set theses headers if they were already set or removed through default headers or by the caller. + // We check `defaultHeaders` and `headers`, which can contain nulls, instead of `reqHeaders` to account + // for the removal case. + if ( + getHeader(defaultHeaders, 'x-stainless-retry-count') === undefined && + getHeader(headers, 'x-stainless-retry-count') === undefined + ) { + reqHeaders['x-stainless-retry-count'] = String(retryCount); + } + if ( + getHeader(defaultHeaders, 'x-stainless-timeout') === undefined && + getHeader(headers, 'x-stainless-timeout') === undefined && + options.timeout + ) { + reqHeaders['x-stainless-timeout'] = String(Math.trunc(options.timeout / 1000)); + } + + this.validateHeaders(reqHeaders, headers); + + return reqHeaders; + } + + /** + * Used as a callback for mutating the given `FinalRequestOptions` object. + */ + protected async prepareOptions(options: FinalRequestOptions): Promise {} + + /** + * Used as a callback for mutating the given `RequestInit` object. + * + * This is useful for cases where you want to add certain headers based off of + * the request properties, e.g. `method` or `url`. + */ + protected async prepareRequest( + request: RequestInit, + { url, options }: { url: string; options: FinalRequestOptions }, + ): Promise {} + + protected parseHeaders(headers: HeadersInit | null | undefined): Record { + return ( + !headers ? {} + : Symbol.iterator in headers ? + Object.fromEntries(Array.from(headers as Iterable).map((header) => [...header])) + : { ...(headers as any as Record) } + ); + } + + protected makeStatusError( + status: number | undefined, + error: Object | undefined, + message: string | undefined, + headers: Headers | undefined, + ): APIError { + return APIError.generate(status, error, message, headers); + } + + request( + options: PromiseOrValue>, + remainingRetries: number | null = null, + ): APIPromise { + return new APIPromise(this.makeRequest(options, remainingRetries)); + } + + private async makeRequest( + optionsInput: PromiseOrValue>, + retriesRemaining: number | null, + ): Promise { + const options = await optionsInput; + const maxRetries = options.maxRetries ?? this.maxRetries; + if (retriesRemaining == null) { + retriesRemaining = maxRetries; + } + + await this.prepareOptions(options); + + const { req, url, timeout } = this.buildRequest(options, { retryCount: maxRetries - retriesRemaining }); + + await this.prepareRequest(req, { url, options }); + + debug('request', url, options, req.headers); + + if (options.signal?.aborted) { + throw new APIUserAbortError(); + } + + const controller = new AbortController(); + const response = await this.fetchWithTimeout(url, req, timeout, controller).catch(castToError); + + if (response instanceof Error) { + if (options.signal?.aborted) { + throw new APIUserAbortError(); + } + if (retriesRemaining) { + return this.retryRequest(options, retriesRemaining); + } + if (response.name === 'AbortError') { + throw new APIConnectionTimeoutError(); + } + throw new APIConnectionError({ cause: response }); + } + + const responseHeaders = createResponseHeaders(response.headers); + + if (!response.ok) { + if (retriesRemaining && this.shouldRetry(response)) { + const retryMessage = `retrying, ${retriesRemaining} attempts remaining`; + debug(`response (error; ${retryMessage})`, response.status, url, responseHeaders); + return this.retryRequest(options, retriesRemaining, responseHeaders); + } + + const errText = await response.text().catch((e) => castToError(e).message); + const errJSON = safeJSON(errText); + const errMessage = errJSON ? undefined : errText; + const retryMessage = retriesRemaining ? `(error; no more retries left)` : `(error; not retryable)`; + + debug(`response (error; ${retryMessage})`, response.status, url, responseHeaders, errMessage); + + const err = this.makeStatusError(response.status, errJSON, errMessage, responseHeaders); + throw err; + } + + return { response, options, controller }; + } + + requestAPIList = AbstractPage>( + Page: new (...args: ConstructorParameters) => PageClass, + options: FinalRequestOptions, + ): PagePromise { + const request = this.makeRequest(options, null); + return new PagePromise(this, request, Page); + } + + buildURL(path: string, query: Req | null | undefined): string { + const url = + isAbsoluteURL(path) ? + new URL(path) + : new URL(this.baseURL + (this.baseURL.endsWith('/') && path.startsWith('/') ? path.slice(1) : path)); + + const defaultQuery = this.defaultQuery(); + if (!isEmptyObj(defaultQuery)) { + query = { ...defaultQuery, ...query } as Req; + } + + if (typeof query === 'object' && query && !Array.isArray(query)) { + url.search = this.stringifyQuery(query as Record); + } + + return url.toString(); + } + + protected stringifyQuery(query: Record): string { + return Object.entries(query) + .filter(([_, value]) => typeof value !== 'undefined') + .map(([key, value]) => { + if (typeof value === 'string' || typeof value === 'number' || typeof value === 'boolean') { + return `${encodeURIComponent(key)}=${encodeURIComponent(value)}`; + } + if (value === null) { + return `${encodeURIComponent(key)}=`; + } + throw new OpenAIError( + `Cannot stringify type ${typeof value}; Expected string, number, boolean, or null. If you need to pass nested query parameters, you can manually encode them, e.g. { query: { 'foo[key1]': value1, 'foo[key2]': value2 } }, and please open a GitHub issue requesting better support for your use case.`, + ); + }) + .join('&'); + } + + async fetchWithTimeout( + url: RequestInfo, + init: RequestInit | undefined, + ms: number, + controller: AbortController, + ): Promise { + const { signal, ...options } = init || {}; + if (signal) signal.addEventListener('abort', () => controller.abort()); + + const timeout = setTimeout(() => controller.abort(), ms); + + const fetchOptions = { + signal: controller.signal as any, + ...options, + }; + if (fetchOptions.method) { + // Custom methods like 'patch' need to be uppercased + // See https://github.com/nodejs/undici/issues/2294 + fetchOptions.method = fetchOptions.method.toUpperCase(); + } + + return ( + // use undefined this binding; fetch errors if bound to something else in browser/cloudflare + this.fetch.call(undefined, url, fetchOptions).finally(() => { + clearTimeout(timeout); + }) + ); + } + + private shouldRetry(response: Response): boolean { + // Note this is not a standard header. + const shouldRetryHeader = response.headers.get('x-should-retry'); + + // If the server explicitly says whether or not to retry, obey. + if (shouldRetryHeader === 'true') return true; + if (shouldRetryHeader === 'false') return false; + + // Retry on request timeouts. + if (response.status === 408) return true; + + // Retry on lock timeouts. + if (response.status === 409) return true; + + // Retry on rate limits. + if (response.status === 429) return true; + + // Retry internal errors. + if (response.status >= 500) return true; + + return false; + } + + private async retryRequest( + options: FinalRequestOptions, + retriesRemaining: number, + responseHeaders?: Headers | undefined, + ): Promise { + let timeoutMillis: number | undefined; + + // Note the `retry-after-ms` header may not be standard, but is a good idea and we'd like proactive support for it. + const retryAfterMillisHeader = responseHeaders?.['retry-after-ms']; + if (retryAfterMillisHeader) { + const timeoutMs = parseFloat(retryAfterMillisHeader); + if (!Number.isNaN(timeoutMs)) { + timeoutMillis = timeoutMs; + } + } + + // About the Retry-After header: https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Retry-After + const retryAfterHeader = responseHeaders?.['retry-after']; + if (retryAfterHeader && !timeoutMillis) { + const timeoutSeconds = parseFloat(retryAfterHeader); + if (!Number.isNaN(timeoutSeconds)) { + timeoutMillis = timeoutSeconds * 1000; + } else { + timeoutMillis = Date.parse(retryAfterHeader) - Date.now(); + } + } + + // If the API asks us to wait a certain amount of time (and it's a reasonable amount), + // just do what it says, but otherwise calculate a default + if (!(timeoutMillis && 0 <= timeoutMillis && timeoutMillis < 60 * 1000)) { + const maxRetries = options.maxRetries ?? this.maxRetries; + timeoutMillis = this.calculateDefaultRetryTimeoutMillis(retriesRemaining, maxRetries); + } + await sleep(timeoutMillis); + + return this.makeRequest(options, retriesRemaining - 1); + } + + private calculateDefaultRetryTimeoutMillis(retriesRemaining: number, maxRetries: number): number { + const initialRetryDelay = 0.5; + const maxRetryDelay = 8.0; + + const numRetries = maxRetries - retriesRemaining; + + // Apply exponential backoff, but not more than the max. + const sleepSeconds = Math.min(initialRetryDelay * Math.pow(2, numRetries), maxRetryDelay); + + // Apply some jitter, take up to at most 25 percent of the retry time. + const jitter = 1 - Math.random() * 0.25; + + return sleepSeconds * jitter * 1000; + } + + private getUserAgent(): string { + return `${this.constructor.name}/JS ${VERSION}`; + } +} + +export type PageInfo = { url: URL } | { params: Record | null }; + +export abstract class AbstractPage implements AsyncIterable { + #client: APIClient; + protected options: FinalRequestOptions; + + protected response: Response; + protected body: unknown; + + constructor(client: APIClient, response: Response, body: unknown, options: FinalRequestOptions) { + this.#client = client; + this.options = options; + this.response = response; + this.body = body; + } + + /** + * @deprecated Use nextPageInfo instead + */ + abstract nextPageParams(): Partial> | null; + abstract nextPageInfo(): PageInfo | null; + + abstract getPaginatedItems(): Item[]; + + hasNextPage(): boolean { + const items = this.getPaginatedItems(); + if (!items.length) return false; + return this.nextPageInfo() != null; + } + + async getNextPage(): Promise { + const nextInfo = this.nextPageInfo(); + if (!nextInfo) { + throw new OpenAIError( + 'No next page expected; please check `.hasNextPage()` before calling `.getNextPage()`.', + ); + } + const nextOptions = { ...this.options }; + if ('params' in nextInfo && typeof nextOptions.query === 'object') { + nextOptions.query = { ...nextOptions.query, ...nextInfo.params }; + } else if ('url' in nextInfo) { + const params = [...Object.entries(nextOptions.query || {}), ...nextInfo.url.searchParams.entries()]; + for (const [key, value] of params) { + nextInfo.url.searchParams.set(key, value as any); + } + nextOptions.query = undefined; + nextOptions.path = nextInfo.url.toString(); + } + return await this.#client.requestAPIList(this.constructor as any, nextOptions); + } + + async *iterPages(): AsyncGenerator { + // eslint-disable-next-line @typescript-eslint/no-this-alias + let page: this = this; + yield page; + while (page.hasNextPage()) { + page = await page.getNextPage(); + yield page; + } + } + + async *[Symbol.asyncIterator](): AsyncGenerator { + for await (const page of this.iterPages()) { + for (const item of page.getPaginatedItems()) { + yield item; + } + } + } +} + +/** + * This subclass of Promise will resolve to an instantiated Page once the request completes. + * + * It also implements AsyncIterable to allow auto-paginating iteration on an unawaited list call, eg: + * + * for await (const item of client.items.list()) { + * console.log(item) + * } + */ +export class PagePromise< + PageClass extends AbstractPage, + Item = ReturnType[number], + > + extends APIPromise + implements AsyncIterable +{ + constructor( + client: APIClient, + request: Promise, + Page: new (...args: ConstructorParameters) => PageClass, + ) { + super( + request, + async (props) => + new Page( + client, + props.response, + await defaultParseResponse(props), + props.options, + ) as WithRequestID, + ); + } + + /** + * Allow auto-paginating iteration on an unawaited list call, eg: + * + * for await (const item of client.items.list()) { + * console.log(item) + * } + */ + async *[Symbol.asyncIterator](): AsyncGenerator { + const page = await this; + for await (const item of page) { + yield item; + } + } +} + +export const createResponseHeaders = ( + headers: Awaited>['headers'], +): Record => { + return new Proxy( + Object.fromEntries( + // @ts-ignore + headers.entries(), + ), + { + get(target, name) { + const key = name.toString(); + return target[key.toLowerCase()] || target[key]; + }, + }, + ); +}; + +type HTTPMethod = 'get' | 'post' | 'put' | 'patch' | 'delete'; + +export type RequestClient = { fetch: Fetch }; +export type Headers = Record; +export type DefaultQuery = Record; +export type KeysEnum = { [P in keyof Required]: true }; + +export type RequestOptions< + Req = unknown | Record | Readable | BlobLike | ArrayBufferView | ArrayBuffer, +> = { + method?: HTTPMethod; + path?: string; + query?: Req | undefined; + body?: Req | null | undefined; + headers?: Headers | undefined; + + maxRetries?: number; + stream?: boolean | undefined; + timeout?: number; + httpAgent?: Agent; + signal?: AbortSignal | undefined | null; + idempotencyKey?: string; + + __metadata?: Record; + __binaryRequest?: boolean | undefined; + __binaryResponse?: boolean | undefined; + __streamClass?: typeof Stream; +}; + +// This is required so that we can determine if a given object matches the RequestOptions +// type at runtime. While this requires duplication, it is enforced by the TypeScript +// compiler such that any missing / extraneous keys will cause an error. +const requestOptionsKeys: KeysEnum = { + method: true, + path: true, + query: true, + body: true, + headers: true, + + maxRetries: true, + stream: true, + timeout: true, + httpAgent: true, + signal: true, + idempotencyKey: true, + + __metadata: true, + __binaryRequest: true, + __binaryResponse: true, + __streamClass: true, +}; + +export const isRequestOptions = (obj: unknown): obj is RequestOptions => { + return ( + typeof obj === 'object' && + obj !== null && + !isEmptyObj(obj) && + Object.keys(obj).every((k) => hasOwn(requestOptionsKeys, k)) + ); +}; + +export type FinalRequestOptions | Readable | DataView> = + RequestOptions & { + method: HTTPMethod; + path: string; + }; + +declare const Deno: any; +declare const EdgeRuntime: any; +type Arch = 'x32' | 'x64' | 'arm' | 'arm64' | `other:${string}` | 'unknown'; +type PlatformName = + | 'MacOS' + | 'Linux' + | 'Windows' + | 'FreeBSD' + | 'OpenBSD' + | 'iOS' + | 'Android' + | `Other:${string}` + | 'Unknown'; +type Browser = 'ie' | 'edge' | 'chrome' | 'firefox' | 'safari'; +type PlatformProperties = { + 'X-Stainless-Lang': 'js'; + 'X-Stainless-Package-Version': string; + 'X-Stainless-OS': PlatformName; + 'X-Stainless-Arch': Arch; + 'X-Stainless-Runtime': 'node' | 'deno' | 'edge' | `browser:${Browser}` | 'unknown'; + 'X-Stainless-Runtime-Version': string; +}; +const getPlatformProperties = (): PlatformProperties => { + if (typeof Deno !== 'undefined' && Deno.build != null) { + return { + 'X-Stainless-Lang': 'js', + 'X-Stainless-Package-Version': VERSION, + 'X-Stainless-OS': normalizePlatform(Deno.build.os), + 'X-Stainless-Arch': normalizeArch(Deno.build.arch), + 'X-Stainless-Runtime': 'deno', + 'X-Stainless-Runtime-Version': + typeof Deno.version === 'string' ? Deno.version : Deno.version?.deno ?? 'unknown', + }; + } + if (typeof EdgeRuntime !== 'undefined') { + return { + 'X-Stainless-Lang': 'js', + 'X-Stainless-Package-Version': VERSION, + 'X-Stainless-OS': 'Unknown', + 'X-Stainless-Arch': `other:${EdgeRuntime}`, + 'X-Stainless-Runtime': 'edge', + 'X-Stainless-Runtime-Version': process.version, + }; + } + // Check if Node.js + if (Object.prototype.toString.call(typeof process !== 'undefined' ? process : 0) === '[object process]') { + return { + 'X-Stainless-Lang': 'js', + 'X-Stainless-Package-Version': VERSION, + 'X-Stainless-OS': normalizePlatform(process.platform), + 'X-Stainless-Arch': normalizeArch(process.arch), + 'X-Stainless-Runtime': 'node', + 'X-Stainless-Runtime-Version': process.version, + }; + } + + const browserInfo = getBrowserInfo(); + if (browserInfo) { + return { + 'X-Stainless-Lang': 'js', + 'X-Stainless-Package-Version': VERSION, + 'X-Stainless-OS': 'Unknown', + 'X-Stainless-Arch': 'unknown', + 'X-Stainless-Runtime': `browser:${browserInfo.browser}`, + 'X-Stainless-Runtime-Version': browserInfo.version, + }; + } + + // TODO add support for Cloudflare workers, etc. + return { + 'X-Stainless-Lang': 'js', + 'X-Stainless-Package-Version': VERSION, + 'X-Stainless-OS': 'Unknown', + 'X-Stainless-Arch': 'unknown', + 'X-Stainless-Runtime': 'unknown', + 'X-Stainless-Runtime-Version': 'unknown', + }; +}; + +type BrowserInfo = { + browser: Browser; + version: string; +}; + +declare const navigator: { userAgent: string } | undefined; + +// Note: modified from https://github.com/JS-DevTools/host-environment/blob/b1ab79ecde37db5d6e163c050e54fe7d287d7c92/src/isomorphic.browser.ts +function getBrowserInfo(): BrowserInfo | null { + if (typeof navigator === 'undefined' || !navigator) { + return null; + } + + // NOTE: The order matters here! + const browserPatterns = [ + { key: 'edge' as const, pattern: /Edge(?:\W+(\d+)\.(\d+)(?:\.(\d+))?)?/ }, + { key: 'ie' as const, pattern: /MSIE(?:\W+(\d+)\.(\d+)(?:\.(\d+))?)?/ }, + { key: 'ie' as const, pattern: /Trident(?:.*rv\:(\d+)\.(\d+)(?:\.(\d+))?)?/ }, + { key: 'chrome' as const, pattern: /Chrome(?:\W+(\d+)\.(\d+)(?:\.(\d+))?)?/ }, + { key: 'firefox' as const, pattern: /Firefox(?:\W+(\d+)\.(\d+)(?:\.(\d+))?)?/ }, + { key: 'safari' as const, pattern: /(?:Version\W+(\d+)\.(\d+)(?:\.(\d+))?)?(?:\W+Mobile\S*)?\W+Safari/ }, + ]; + + // Find the FIRST matching browser + for (const { key, pattern } of browserPatterns) { + const match = pattern.exec(navigator.userAgent); + if (match) { + const major = match[1] || 0; + const minor = match[2] || 0; + const patch = match[3] || 0; + + return { browser: key, version: `${major}.${minor}.${patch}` }; + } + } + + return null; +} + +const normalizeArch = (arch: string): Arch => { + // Node docs: + // - https://nodejs.org/api/process.html#processarch + // Deno docs: + // - https://doc.deno.land/deno/stable/~/Deno.build + if (arch === 'x32') return 'x32'; + if (arch === 'x86_64' || arch === 'x64') return 'x64'; + if (arch === 'arm') return 'arm'; + if (arch === 'aarch64' || arch === 'arm64') return 'arm64'; + if (arch) return `other:${arch}`; + return 'unknown'; +}; + +const normalizePlatform = (platform: string): PlatformName => { + // Node platforms: + // - https://nodejs.org/api/process.html#processplatform + // Deno platforms: + // - https://doc.deno.land/deno/stable/~/Deno.build + // - https://github.com/denoland/deno/issues/14799 + + platform = platform.toLowerCase(); + + // NOTE: this iOS check is untested and may not work + // Node does not work natively on IOS, there is a fork at + // https://github.com/nodejs-mobile/nodejs-mobile + // however it is unknown at the time of writing how to detect if it is running + if (platform.includes('ios')) return 'iOS'; + if (platform === 'android') return 'Android'; + if (platform === 'darwin') return 'MacOS'; + if (platform === 'win32') return 'Windows'; + if (platform === 'freebsd') return 'FreeBSD'; + if (platform === 'openbsd') return 'OpenBSD'; + if (platform === 'linux') return 'Linux'; + if (platform) return `Other:${platform}`; + return 'Unknown'; +}; + +let _platformHeaders: PlatformProperties; +const getPlatformHeaders = () => { + return (_platformHeaders ??= getPlatformProperties()); +}; + +export const safeJSON = (text: string) => { + try { + return JSON.parse(text); + } catch (err) { + return undefined; + } +}; + +// https://url.spec.whatwg.org/#url-scheme-string +const startsWithSchemeRegexp = /^[a-z][a-z0-9+.-]*:/i; +const isAbsoluteURL = (url: string): boolean => { + return startsWithSchemeRegexp.test(url); +}; + +export const sleep = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms)); + +const validatePositiveInteger = (name: string, n: unknown): number => { + if (typeof n !== 'number' || !Number.isInteger(n)) { + throw new OpenAIError(`${name} must be an integer`); + } + if (n < 0) { + throw new OpenAIError(`${name} must be a positive integer`); + } + return n; +}; + +export const castToError = (err: any): Error => { + if (err instanceof Error) return err; + if (typeof err === 'object' && err !== null) { + try { + return new Error(JSON.stringify(err)); + } catch {} + } + return new Error(err); +}; + +export const ensurePresent = (value: T | null | undefined): T => { + if (value == null) throw new OpenAIError(`Expected a value to be given but received ${value} instead.`); + return value; +}; + +/** + * Read an environment variable. + * + * Trims beginning and trailing whitespace. + * + * Will return undefined if the environment variable doesn't exist or cannot be accessed. + */ +export const readEnv = (env: string): string | undefined => { + if (typeof process !== 'undefined') { + return process.env?.[env]?.trim() ?? undefined; + } + if (typeof Deno !== 'undefined') { + return Deno.env?.get?.(env)?.trim(); + } + return undefined; +}; + +export const coerceInteger = (value: unknown): number => { + if (typeof value === 'number') return Math.round(value); + if (typeof value === 'string') return parseInt(value, 10); + + throw new OpenAIError(`Could not coerce ${value} (type: ${typeof value}) into a number`); +}; + +export const coerceFloat = (value: unknown): number => { + if (typeof value === 'number') return value; + if (typeof value === 'string') return parseFloat(value); + + throw new OpenAIError(`Could not coerce ${value} (type: ${typeof value}) into a number`); +}; + +export const coerceBoolean = (value: unknown): boolean => { + if (typeof value === 'boolean') return value; + if (typeof value === 'string') return value === 'true'; + return Boolean(value); +}; + +export const maybeCoerceInteger = (value: unknown): number | undefined => { + if (value === undefined) { + return undefined; + } + return coerceInteger(value); +}; + +export const maybeCoerceFloat = (value: unknown): number | undefined => { + if (value === undefined) { + return undefined; + } + return coerceFloat(value); +}; + +export const maybeCoerceBoolean = (value: unknown): boolean | undefined => { + if (value === undefined) { + return undefined; + } + return coerceBoolean(value); +}; + +// https://stackoverflow.com/a/34491287 +export function isEmptyObj(obj: Object | null | undefined): boolean { + if (!obj) return true; + for (const _k in obj) return false; + return true; +} + +// https://eslint.org/docs/latest/rules/no-prototype-builtins +export function hasOwn(obj: Object, key: string): boolean { + return Object.prototype.hasOwnProperty.call(obj, key); +} + +/** + * Copies headers from "newHeaders" onto "targetHeaders", + * using lower-case for all properties, + * ignoring any keys with undefined values, + * and deleting any keys with null values. + */ +function applyHeadersMut(targetHeaders: Headers, newHeaders: Headers): void { + for (const k in newHeaders) { + if (!hasOwn(newHeaders, k)) continue; + const lowerKey = k.toLowerCase(); + if (!lowerKey) continue; + + const val = newHeaders[k]; + + if (val === null) { + delete targetHeaders[lowerKey]; + } else if (val !== undefined) { + targetHeaders[lowerKey] = val; + } + } +} + +const SENSITIVE_HEADERS = new Set(['authorization', 'api-key']); + +export function debug(action: string, ...args: any[]) { + if (typeof process !== 'undefined' && process?.env?.['DEBUG'] === 'true') { + const modifiedArgs = args.map((arg) => { + if (!arg) { + return arg; + } + + // Check for sensitive headers in request body 'headers' object + if (arg['headers']) { + // clone so we don't mutate + const modifiedArg = { ...arg, headers: { ...arg['headers'] } }; + + for (const header in arg['headers']) { + if (SENSITIVE_HEADERS.has(header.toLowerCase())) { + modifiedArg['headers'][header] = 'REDACTED'; + } + } + + return modifiedArg; + } + + let modifiedArg = null; + + // Check for sensitive headers in headers object + for (const header in arg) { + if (SENSITIVE_HEADERS.has(header.toLowerCase())) { + // avoid making a copy until we need to + modifiedArg ??= { ...arg }; + modifiedArg[header] = 'REDACTED'; + } + } + + return modifiedArg ?? arg; + }); + console.log(`OpenAI:DEBUG:${action}`, ...modifiedArgs); + } +} + +/** + * https://stackoverflow.com/a/2117523 + */ +const uuid4 = () => { + return 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, (c) => { + const r = (Math.random() * 16) | 0; + const v = c === 'x' ? r : (r & 0x3) | 0x8; + return v.toString(16); + }); +}; + +export const isRunningInBrowser = () => { + return ( + // @ts-ignore + typeof window !== 'undefined' && + // @ts-ignore + typeof window.document !== 'undefined' && + // @ts-ignore + typeof navigator !== 'undefined' + ); +}; + +export interface HeadersProtocol { + get: (header: string) => string | null | undefined; +} +export type HeadersLike = Record | HeadersProtocol; + +export const isHeadersProtocol = (headers: any): headers is HeadersProtocol => { + return typeof headers?.get === 'function'; +}; + +export const getRequiredHeader = (headers: HeadersLike | Headers, header: string): string => { + const foundHeader = getHeader(headers, header); + if (foundHeader === undefined) { + throw new Error(`Could not find ${header} header`); + } + return foundHeader; +}; + +export const getHeader = (headers: HeadersLike | Headers, header: string): string | undefined => { + const lowerCasedHeader = header.toLowerCase(); + if (isHeadersProtocol(headers)) { + // to deal with the case where the header looks like Stainless-Event-Id + const intercapsHeader = + header[0]?.toUpperCase() + + header.substring(1).replace(/([^\w])(\w)/g, (_m, g1, g2) => g1 + g2.toUpperCase()); + for (const key of [header, lowerCasedHeader, header.toUpperCase(), intercapsHeader]) { + const value = headers.get(key); + if (value) { + return value; + } + } + } + + for (const [key, value] of Object.entries(headers)) { + if (key.toLowerCase() === lowerCasedHeader) { + if (Array.isArray(value)) { + if (value.length <= 1) return value[0]; + console.warn(`Received ${value.length} entries for the ${header} header, using the first entry.`); + return value[0]; + } + return value; + } + } + + return undefined; +}; + +/** + * Encodes a string to Base64 format. + */ +export const toBase64 = (str: string | null | undefined): string => { + if (!str) return ''; + if (typeof Buffer !== 'undefined') { + return Buffer.from(str).toString('base64'); + } + + if (typeof btoa !== 'undefined') { + return btoa(str); + } + + throw new OpenAIError('Cannot generate b64 string; Expected `Buffer` or `btoa` to be defined'); +}; + +/** + * Converts a Base64 encoded string to a Float32Array. + * @param base64Str - The Base64 encoded string. + * @returns An Array of numbers interpreted as Float32 values. + */ +export const toFloat32Array = (base64Str: string): Array => { + if (typeof Buffer !== 'undefined') { + // for Node.js environment + const buf = Buffer.from(base64Str, 'base64'); + return Array.from( + new Float32Array(buf.buffer, buf.byteOffset, buf.length / Float32Array.BYTES_PER_ELEMENT), + ); + } else { + // for legacy web platform APIs + const binaryStr = atob(base64Str); + const len = binaryStr.length; + const bytes = new Uint8Array(len); + for (let i = 0; i < len; i++) { + bytes[i] = binaryStr.charCodeAt(i); + } + return Array.from(new Float32Array(bytes.buffer)); + } +}; + +export function isObj(obj: unknown): obj is Record { + return obj != null && typeof obj === 'object' && !Array.isArray(obj); +} diff --git a/src/error.ts b/src/error.ts new file mode 100644 index 000000000..f3dc57610 --- /dev/null +++ b/src/error.ts @@ -0,0 +1,154 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { castToError, Headers } from './core'; + +export class OpenAIError extends Error {} + +export class APIError< + TStatus extends number | undefined = number | undefined, + THeaders extends Headers | undefined = Headers | undefined, + TError extends Object | undefined = Object | undefined, +> extends OpenAIError { + /** HTTP status for the response that caused the error */ + readonly status: TStatus; + /** HTTP headers for the response that caused the error */ + readonly headers: THeaders; + /** JSON body of the response that caused the error */ + readonly error: TError; + + readonly code: string | null | undefined; + readonly param: string | null | undefined; + readonly type: string | undefined; + + readonly request_id: string | null | undefined; + + constructor(status: TStatus, error: TError, message: string | undefined, headers: THeaders) { + super(`${APIError.makeMessage(status, error, message)}`); + this.status = status; + this.headers = headers; + this.request_id = headers?.['x-request-id']; + this.error = error; + + const data = error as Record; + this.code = data?.['code']; + this.param = data?.['param']; + this.type = data?.['type']; + } + + private static makeMessage(status: number | undefined, error: any, message: string | undefined) { + const msg = + error?.message ? + typeof error.message === 'string' ? + error.message + : JSON.stringify(error.message) + : error ? JSON.stringify(error) + : message; + + if (status && msg) { + return `${status} ${msg}`; + } + if (status) { + return `${status} status code (no body)`; + } + if (msg) { + return msg; + } + return '(no status code or body)'; + } + + static generate( + status: number | undefined, + errorResponse: Object | undefined, + message: string | undefined, + headers: Headers | undefined, + ): APIError { + if (!status || !headers) { + return new APIConnectionError({ message, cause: castToError(errorResponse) }); + } + + const error = (errorResponse as Record)?.['error']; + + if (status === 400) { + return new BadRequestError(status, error, message, headers); + } + + if (status === 401) { + return new AuthenticationError(status, error, message, headers); + } + + if (status === 403) { + return new PermissionDeniedError(status, error, message, headers); + } + + if (status === 404) { + return new NotFoundError(status, error, message, headers); + } + + if (status === 409) { + return new ConflictError(status, error, message, headers); + } + + if (status === 422) { + return new UnprocessableEntityError(status, error, message, headers); + } + + if (status === 429) { + return new RateLimitError(status, error, message, headers); + } + + if (status >= 500) { + return new InternalServerError(status, error, message, headers); + } + + return new APIError(status, error, message, headers); + } +} + +export class APIUserAbortError extends APIError { + constructor({ message }: { message?: string } = {}) { + super(undefined, undefined, message || 'Request was aborted.', undefined); + } +} + +export class APIConnectionError extends APIError { + constructor({ message, cause }: { message?: string | undefined; cause?: Error | undefined }) { + super(undefined, undefined, message || 'Connection error.', undefined); + // in some environments the 'cause' property is already declared + // @ts-ignore + if (cause) this.cause = cause; + } +} + +export class APIConnectionTimeoutError extends APIConnectionError { + constructor({ message }: { message?: string } = {}) { + super({ message: message ?? 'Request timed out.' }); + } +} + +export class BadRequestError extends APIError<400, Headers> {} + +export class AuthenticationError extends APIError<401, Headers> {} + +export class PermissionDeniedError extends APIError<403, Headers> {} + +export class NotFoundError extends APIError<404, Headers> {} + +export class ConflictError extends APIError<409, Headers> {} + +export class UnprocessableEntityError extends APIError<422, Headers> {} + +export class RateLimitError extends APIError<429, Headers> {} + +export class InternalServerError extends APIError {} + +export class LengthFinishReasonError extends OpenAIError { + constructor() { + super(`Could not parse response content as the length limit was reached`); + } +} + +export class ContentFilterFinishReasonError extends OpenAIError { + constructor() { + super(`Could not parse response content as the request was rejected by the content filter`); + } +} diff --git a/src/helpers/audio.ts b/src/helpers/audio.ts new file mode 100644 index 000000000..f1a6ea371 --- /dev/null +++ b/src/helpers/audio.ts @@ -0,0 +1,145 @@ +import { File } from 'formdata-node'; +import { spawn } from 'node:child_process'; +import { Readable } from 'node:stream'; +import { platform, versions } from 'node:process'; +import { Response } from 'openai/_shims'; + +const DEFAULT_SAMPLE_RATE = 24000; +const DEFAULT_CHANNELS = 1; + +const isNode = Boolean(versions?.node); + +const recordingProviders: Record = { + win32: 'dshow', + darwin: 'avfoundation', + linux: 'alsa', + aix: 'alsa', + android: 'alsa', + freebsd: 'alsa', + haiku: 'alsa', + sunos: 'alsa', + netbsd: 'alsa', + openbsd: 'alsa', + cygwin: 'dshow', +}; + +function isResponse(stream: NodeJS.ReadableStream | Response | File): stream is Response { + return typeof (stream as any).body !== 'undefined'; +} + +function isFile(stream: NodeJS.ReadableStream | Response | File): stream is File { + return stream instanceof File; +} + +async function nodejsPlayAudio(stream: NodeJS.ReadableStream | Response | File): Promise { + return new Promise((resolve, reject) => { + try { + const ffplay = spawn('ffplay', ['-autoexit', '-nodisp', '-i', 'pipe:0']); + + if (isResponse(stream)) { + stream.body.pipe(ffplay.stdin); + } else if (isFile(stream)) { + Readable.from(stream.stream()).pipe(ffplay.stdin); + } else { + stream.pipe(ffplay.stdin); + } + + ffplay.on('close', (code: number) => { + if (code !== 0) { + reject(new Error(`ffplay process exited with code ${code}`)); + } + resolve(); + }); + } catch (error) { + reject(error); + } + }); +} + +export async function playAudio(input: NodeJS.ReadableStream | Response | File): Promise { + if (isNode) { + return nodejsPlayAudio(input); + } + + throw new Error( + 'Play audio is not supported in the browser yet. Check out https://npm.im/wavtools as an alternative.', + ); +} + +type RecordAudioOptions = { + signal?: AbortSignal; + device?: number; + timeout?: number; +}; + +function nodejsRecordAudio({ signal, device, timeout }: RecordAudioOptions = {}): Promise { + return new Promise((resolve, reject) => { + const data: any[] = []; + const provider = recordingProviders[platform]; + try { + const ffmpeg = spawn( + 'ffmpeg', + [ + '-f', + provider, + '-i', + `:${device ?? 0}`, // default audio input device; adjust as needed + '-ar', + DEFAULT_SAMPLE_RATE.toString(), + '-ac', + DEFAULT_CHANNELS.toString(), + '-f', + 'wav', + 'pipe:1', + ], + { + stdio: ['ignore', 'pipe', 'pipe'], + }, + ); + + ffmpeg.stdout.on('data', (chunk) => { + data.push(chunk); + }); + + ffmpeg.on('error', (error) => { + console.error(error); + reject(error); + }); + + ffmpeg.on('close', (code) => { + returnData(); + }); + + function returnData() { + const audioBuffer = Buffer.concat(data); + const audioFile = new File([audioBuffer], 'audio.wav', { type: 'audio/wav' }); + resolve(audioFile); + } + + if (typeof timeout === 'number' && timeout > 0) { + const internalSignal = AbortSignal.timeout(timeout); + internalSignal.addEventListener('abort', () => { + ffmpeg.kill('SIGTERM'); + }); + } + + if (signal) { + signal.addEventListener('abort', () => { + ffmpeg.kill('SIGTERM'); + }); + } + } catch (error) { + reject(error); + } + }); +} + +export async function recordAudio(options: RecordAudioOptions = {}) { + if (isNode) { + return nodejsRecordAudio(options); + } + + throw new Error( + 'Record audio is not supported in the browser. Check out https://npm.im/wavtools as an alternative.', + ); +} diff --git a/src/helpers/zod.ts b/src/helpers/zod.ts new file mode 100644 index 000000000..de4c3ba93 --- /dev/null +++ b/src/helpers/zod.ts @@ -0,0 +1,154 @@ +import { ResponseFormatJSONSchema } from '../resources/index'; +import type { infer as zodInfer, ZodType } from 'zod'; +import { + AutoParseableResponseFormat, + AutoParseableTextFormat, + AutoParseableTool, + makeParseableResponseFormat, + makeParseableTextFormat, + makeParseableTool, +} from '../lib/parser'; +import { zodToJsonSchema as _zodToJsonSchema } from '../_vendor/zod-to-json-schema'; +import { AutoParseableResponseTool, makeParseableResponseTool } from '../lib/ResponsesParser'; +import { type ResponseFormatTextJSONSchemaConfig } from '../resources/responses/responses'; + +function zodToJsonSchema(schema: ZodType, options: { name: string }): Record { + return _zodToJsonSchema(schema, { + openaiStrictMode: true, + name: options.name, + nameStrategy: 'duplicate-ref', + $refStrategy: 'extract-to-root', + nullableStrategy: 'property', + }); +} + +/** + * Creates a chat completion `JSONSchema` response format object from + * the given Zod schema. + * + * If this is passed to the `.parse()`, `.stream()` or `.runTools()` + * chat completion methods then the response message will contain a + * `.parsed` property that is the result of parsing the content with + * the given Zod object. + * + * ```ts + * const completion = await client.beta.chat.completions.parse({ + * model: 'gpt-4o-2024-08-06', + * messages: [ + * { role: 'system', content: 'You are a helpful math tutor.' }, + * { role: 'user', content: 'solve 8x + 31 = 2' }, + * ], + * response_format: zodResponseFormat( + * z.object({ + * steps: z.array(z.object({ + * explanation: z.string(), + * answer: z.string(), + * })), + * final_answer: z.string(), + * }), + * 'math_answer', + * ), + * }); + * const message = completion.choices[0]?.message; + * if (message?.parsed) { + * console.log(message.parsed); + * console.log(message.parsed.final_answer); + * } + * ``` + * + * This can be passed directly to the `.create()` method but will not + * result in any automatic parsing, you'll have to parse the response yourself. + */ +export function zodResponseFormat( + zodObject: ZodInput, + name: string, + props?: Omit, +): AutoParseableResponseFormat> { + return makeParseableResponseFormat( + { + type: 'json_schema', + json_schema: { + ...props, + name, + strict: true, + schema: zodToJsonSchema(zodObject, { name }), + }, + }, + (content) => zodObject.parse(JSON.parse(content)), + ); +} + +export function zodTextFormat( + zodObject: ZodInput, + name: string, + props?: Omit, +): AutoParseableTextFormat> { + return makeParseableTextFormat( + { + type: 'json_schema', + ...props, + name, + strict: true, + schema: zodToJsonSchema(zodObject, { name }), + }, + (content) => zodObject.parse(JSON.parse(content)), + ); +} + +/** + * Creates a chat completion `function` tool that can be invoked + * automatically by the chat completion `.runTools()` method or automatically + * parsed by `.parse()` / `.stream()`. + */ +export function zodFunction(options: { + name: string; + parameters: Parameters; + function?: ((args: zodInfer) => unknown | Promise) | undefined; + description?: string | undefined; +}): AutoParseableTool<{ + arguments: Parameters; + name: string; + function: (args: zodInfer) => unknown; +}> { + // @ts-expect-error TODO + return makeParseableTool( + { + type: 'function', + function: { + name: options.name, + parameters: zodToJsonSchema(options.parameters, { name: options.name }), + strict: true, + ...(options.description ? { description: options.description } : undefined), + }, + }, + { + callback: options.function, + parser: (args) => options.parameters.parse(JSON.parse(args)), + }, + ); +} + +export function zodResponsesFunction(options: { + name: string; + parameters: Parameters; + function?: ((args: zodInfer) => unknown | Promise) | undefined; + description?: string | undefined; +}): AutoParseableResponseTool<{ + arguments: Parameters; + name: string; + function: (args: zodInfer) => unknown; +}> { + return makeParseableResponseTool( + { + type: 'function', + name: options.name, + parameters: zodToJsonSchema(options.parameters, { name: options.name }), + strict: true, + ...(options.description ? { description: options.description } : undefined), + }, + { + callback: options.function, + parser: (args) => options.parameters.parse(JSON.parse(args)), + }, + ); +} diff --git a/src/index.ts b/src/index.ts new file mode 100644 index 000000000..537c18f43 --- /dev/null +++ b/src/index.ts @@ -0,0 +1,776 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { type Agent, type RequestInit } from './_shims/index'; +import * as qs from './internal/qs'; +import * as Core from './core'; +import * as Errors from './error'; +import * as Pagination from './pagination'; +import { type CursorPageParams, CursorPageResponse, PageResponse } from './pagination'; +import * as Uploads from './uploads'; +import * as API from './resources/index'; +import { + Batch, + BatchCreateParams, + BatchError, + BatchListParams, + BatchRequestCounts, + Batches, + BatchesPage, +} from './resources/batches'; +import { + Completion, + CompletionChoice, + CompletionCreateParams, + CompletionCreateParamsNonStreaming, + CompletionCreateParamsStreaming, + CompletionUsage, + Completions, +} from './resources/completions'; +import { + CreateEmbeddingResponse, + Embedding, + EmbeddingCreateParams, + EmbeddingModel, + Embeddings, +} from './resources/embeddings'; +import { + FileContent, + FileCreateParams, + FileDeleted, + FileListParams, + FileObject, + FileObjectsPage, + FilePurpose, + Files, +} from './resources/files'; +import { + Image, + ImageCreateVariationParams, + ImageEditParams, + ImageGenerateParams, + ImageModel, + Images, + ImagesResponse, +} from './resources/images'; +import { Model, ModelDeleted, Models, ModelsPage } from './resources/models'; +import { + Moderation, + ModerationCreateParams, + ModerationCreateResponse, + ModerationImageURLInput, + ModerationModel, + ModerationMultiModalInput, + ModerationTextInput, + Moderations, +} from './resources/moderations'; +import { Audio, AudioModel, AudioResponseFormat } from './resources/audio/audio'; +import { Beta } from './resources/beta/beta'; +import { Chat } from './resources/chat/chat'; +import { + EvalCreateParams, + EvalCreateResponse, + EvalCustomDataSourceConfig, + EvalDeleteResponse, + EvalListParams, + EvalListResponse, + EvalListResponsesPage, + EvalRetrieveResponse, + EvalStoredCompletionsDataSourceConfig, + EvalUpdateParams, + EvalUpdateResponse, + Evals, +} from './resources/evals/evals'; +import { FineTuning } from './resources/fine-tuning/fine-tuning'; +import { Graders } from './resources/graders/graders'; +import { Responses } from './resources/responses/responses'; +import { + Upload, + UploadCompleteParams, + UploadCreateParams, + Uploads as UploadsAPIUploads, +} from './resources/uploads/uploads'; +import { + AutoFileChunkingStrategyParam, + FileChunkingStrategy, + FileChunkingStrategyParam, + OtherFileChunkingStrategyObject, + StaticFileChunkingStrategy, + StaticFileChunkingStrategyObject, + StaticFileChunkingStrategyObjectParam, + VectorStore, + VectorStoreCreateParams, + VectorStoreDeleted, + VectorStoreListParams, + VectorStoreSearchParams, + VectorStoreSearchResponse, + VectorStoreSearchResponsesPage, + VectorStoreUpdateParams, + VectorStores, + VectorStoresPage, +} from './resources/vector-stores/vector-stores'; +import { + ChatCompletion, + ChatCompletionAssistantMessageParam, + ChatCompletionAudio, + ChatCompletionAudioParam, + ChatCompletionChunk, + ChatCompletionContentPart, + ChatCompletionContentPartImage, + ChatCompletionContentPartInputAudio, + ChatCompletionContentPartRefusal, + ChatCompletionContentPartText, + ChatCompletionCreateParams, + ChatCompletionCreateParamsNonStreaming, + ChatCompletionCreateParamsStreaming, + ChatCompletionDeleted, + ChatCompletionDeveloperMessageParam, + ChatCompletionFunctionCallOption, + ChatCompletionFunctionMessageParam, + ChatCompletionListParams, + ChatCompletionMessage, + ChatCompletionMessageParam, + ChatCompletionMessageToolCall, + ChatCompletionModality, + ChatCompletionNamedToolChoice, + ChatCompletionPredictionContent, + ChatCompletionReasoningEffort, + ChatCompletionRole, + ChatCompletionStoreMessage, + ChatCompletionStreamOptions, + ChatCompletionSystemMessageParam, + ChatCompletionTokenLogprob, + ChatCompletionTool, + ChatCompletionToolChoiceOption, + ChatCompletionToolMessageParam, + ChatCompletionUpdateParams, + ChatCompletionUserMessageParam, + ChatCompletionsPage, + CreateChatCompletionRequestMessage, +} from './resources/chat/completions/completions'; + +export interface ClientOptions { + /** + * Defaults to process.env['OPENAI_API_KEY']. + */ + apiKey?: string | undefined; + + /** + * Defaults to process.env['OPENAI_ORG_ID']. + */ + organization?: string | null | undefined; + + /** + * Defaults to process.env['OPENAI_PROJECT_ID']. + */ + project?: string | null | undefined; + + /** + * Override the default base URL for the API, e.g., "https://api.example.com/v2/" + * + * Defaults to process.env['OPENAI_BASE_URL']. + */ + baseURL?: string | null | undefined; + + /** + * The maximum amount of time (in milliseconds) that the client should wait for a response + * from the server before timing out a single request. + * + * Note that request timeouts are retried by default, so in a worst-case scenario you may wait + * much longer than this timeout before the promise succeeds or fails. + */ + timeout?: number | undefined; + + /** + * An HTTP agent used to manage HTTP(S) connections. + * + * If not provided, an agent will be constructed by default in the Node.js environment, + * otherwise no agent is used. + */ + httpAgent?: Agent | undefined; + + /** + * Specify a custom `fetch` function implementation. + * + * If not provided, we use `node-fetch` on Node.js and otherwise expect that `fetch` is + * defined globally. + */ + fetch?: Core.Fetch | undefined; + + /** + * The maximum number of times that the client will retry a request in case of a + * temporary failure, like a network error or a 5XX error from the server. + * + * @default 2 + */ + maxRetries?: number | undefined; + + /** + * Default headers to include with every request to the API. + * + * These can be removed in individual requests by explicitly setting the + * header to `undefined` or `null` in request options. + */ + defaultHeaders?: Core.Headers | undefined; + + /** + * Default query parameters to include with every request to the API. + * + * These can be removed in individual requests by explicitly setting the + * param to `undefined` in request options. + */ + defaultQuery?: Core.DefaultQuery | undefined; + + /** + * By default, client-side use of this library is not allowed, as it risks exposing your secret API credentials to attackers. + * Only set this option to `true` if you understand the risks and have appropriate mitigations in place. + */ + dangerouslyAllowBrowser?: boolean | undefined; +} + +/** + * API Client for interfacing with the OpenAI API. + */ +export class OpenAI extends Core.APIClient { + apiKey: string; + organization: string | null; + project: string | null; + + private _options: ClientOptions; + + /** + * API Client for interfacing with the OpenAI API. + * + * @param {string | undefined} [opts.apiKey=process.env['OPENAI_API_KEY'] ?? undefined] + * @param {string | null | undefined} [opts.organization=process.env['OPENAI_ORG_ID'] ?? null] + * @param {string | null | undefined} [opts.project=process.env['OPENAI_PROJECT_ID'] ?? null] + * @param {string} [opts.baseURL=process.env['OPENAI_BASE_URL'] ?? https://api.openai.com/v1] - Override the default base URL for the API. + * @param {number} [opts.timeout=10 minutes] - The maximum amount of time (in milliseconds) the client will wait for a response before timing out. + * @param {number} [opts.httpAgent] - An HTTP agent used to manage HTTP(s) connections. + * @param {Core.Fetch} [opts.fetch] - Specify a custom `fetch` function implementation. + * @param {number} [opts.maxRetries=2] - The maximum number of times the client will retry a request. + * @param {Core.Headers} opts.defaultHeaders - Default headers to include with every request to the API. + * @param {Core.DefaultQuery} opts.defaultQuery - Default query parameters to include with every request to the API. + * @param {boolean} [opts.dangerouslyAllowBrowser=false] - By default, client-side use of this library is not allowed, as it risks exposing your secret API credentials to attackers. + */ + constructor({ + baseURL = Core.readEnv('OPENAI_BASE_URL'), + apiKey = Core.readEnv('OPENAI_API_KEY'), + organization = Core.readEnv('OPENAI_ORG_ID') ?? null, + project = Core.readEnv('OPENAI_PROJECT_ID') ?? null, + ...opts + }: ClientOptions = {}) { + if (apiKey === undefined) { + throw new Errors.OpenAIError( + "The OPENAI_API_KEY environment variable is missing or empty; either provide it, or instantiate the OpenAI client with an apiKey option, like new OpenAI({ apiKey: 'My API Key' }).", + ); + } + + const options: ClientOptions = { + apiKey, + organization, + project, + ...opts, + baseURL: baseURL || `https://api.openai.com/v1`, + }; + + if (!options.dangerouslyAllowBrowser && Core.isRunningInBrowser()) { + throw new Errors.OpenAIError( + "It looks like you're running in a browser-like environment.\n\nThis is disabled by default, as it risks exposing your secret API credentials to attackers.\nIf you understand the risks and have appropriate mitigations in place,\nyou can set the `dangerouslyAllowBrowser` option to `true`, e.g.,\n\nnew OpenAI({ apiKey, dangerouslyAllowBrowser: true });\n\nhttps://help.openai.com/en/articles/5112595-best-practices-for-api-key-safety\n", + ); + } + + super({ + baseURL: options.baseURL!, + timeout: options.timeout ?? 600000 /* 10 minutes */, + httpAgent: options.httpAgent, + maxRetries: options.maxRetries, + fetch: options.fetch, + }); + + this._options = options; + + this.apiKey = apiKey; + this.organization = organization; + this.project = project; + } + + completions: API.Completions = new API.Completions(this); + chat: API.Chat = new API.Chat(this); + embeddings: API.Embeddings = new API.Embeddings(this); + files: API.Files = new API.Files(this); + images: API.Images = new API.Images(this); + audio: API.Audio = new API.Audio(this); + moderations: API.Moderations = new API.Moderations(this); + models: API.Models = new API.Models(this); + fineTuning: API.FineTuning = new API.FineTuning(this); + graders: API.Graders = new API.Graders(this); + vectorStores: API.VectorStores = new API.VectorStores(this); + beta: API.Beta = new API.Beta(this); + batches: API.Batches = new API.Batches(this); + uploads: API.Uploads = new API.Uploads(this); + responses: API.Responses = new API.Responses(this); + evals: API.Evals = new API.Evals(this); + + protected override defaultQuery(): Core.DefaultQuery | undefined { + return this._options.defaultQuery; + } + + protected override defaultHeaders(opts: Core.FinalRequestOptions): Core.Headers { + return { + ...super.defaultHeaders(opts), + 'OpenAI-Organization': this.organization, + 'OpenAI-Project': this.project, + ...this._options.defaultHeaders, + }; + } + + protected override authHeaders(opts: Core.FinalRequestOptions): Core.Headers { + return { Authorization: `Bearer ${this.apiKey}` }; + } + + protected override stringifyQuery(query: Record): string { + return qs.stringify(query, { arrayFormat: 'brackets' }); + } + + static OpenAI = this; + static DEFAULT_TIMEOUT = 600000; // 10 minutes + + static OpenAIError = Errors.OpenAIError; + static APIError = Errors.APIError; + static APIConnectionError = Errors.APIConnectionError; + static APIConnectionTimeoutError = Errors.APIConnectionTimeoutError; + static APIUserAbortError = Errors.APIUserAbortError; + static NotFoundError = Errors.NotFoundError; + static ConflictError = Errors.ConflictError; + static RateLimitError = Errors.RateLimitError; + static BadRequestError = Errors.BadRequestError; + static AuthenticationError = Errors.AuthenticationError; + static InternalServerError = Errors.InternalServerError; + static PermissionDeniedError = Errors.PermissionDeniedError; + static UnprocessableEntityError = Errors.UnprocessableEntityError; + + static toFile = Uploads.toFile; + static fileFromPath = Uploads.fileFromPath; +} + +OpenAI.Completions = Completions; +OpenAI.Chat = Chat; +OpenAI.ChatCompletionsPage = ChatCompletionsPage; +OpenAI.Embeddings = Embeddings; +OpenAI.Files = Files; +OpenAI.FileObjectsPage = FileObjectsPage; +OpenAI.Images = Images; +OpenAI.Audio = Audio; +OpenAI.Moderations = Moderations; +OpenAI.Models = Models; +OpenAI.ModelsPage = ModelsPage; +OpenAI.FineTuning = FineTuning; +OpenAI.Graders = Graders; +OpenAI.VectorStores = VectorStores; +OpenAI.VectorStoresPage = VectorStoresPage; +OpenAI.VectorStoreSearchResponsesPage = VectorStoreSearchResponsesPage; +OpenAI.Beta = Beta; +OpenAI.Batches = Batches; +OpenAI.BatchesPage = BatchesPage; +OpenAI.Uploads = UploadsAPIUploads; +OpenAI.Responses = Responses; +OpenAI.Evals = Evals; +OpenAI.EvalListResponsesPage = EvalListResponsesPage; +export declare namespace OpenAI { + export type RequestOptions = Core.RequestOptions; + + export import Page = Pagination.Page; + export { type PageResponse as PageResponse }; + + export import CursorPage = Pagination.CursorPage; + export { type CursorPageParams as CursorPageParams, type CursorPageResponse as CursorPageResponse }; + + export { + Completions as Completions, + type Completion as Completion, + type CompletionChoice as CompletionChoice, + type CompletionUsage as CompletionUsage, + type CompletionCreateParams as CompletionCreateParams, + type CompletionCreateParamsNonStreaming as CompletionCreateParamsNonStreaming, + type CompletionCreateParamsStreaming as CompletionCreateParamsStreaming, + }; + + export { + Chat as Chat, + type ChatCompletion as ChatCompletion, + type ChatCompletionAssistantMessageParam as ChatCompletionAssistantMessageParam, + type ChatCompletionAudio as ChatCompletionAudio, + type ChatCompletionAudioParam as ChatCompletionAudioParam, + type ChatCompletionChunk as ChatCompletionChunk, + type ChatCompletionContentPart as ChatCompletionContentPart, + type ChatCompletionContentPartImage as ChatCompletionContentPartImage, + type ChatCompletionContentPartInputAudio as ChatCompletionContentPartInputAudio, + type ChatCompletionContentPartRefusal as ChatCompletionContentPartRefusal, + type ChatCompletionContentPartText as ChatCompletionContentPartText, + type ChatCompletionDeleted as ChatCompletionDeleted, + type ChatCompletionDeveloperMessageParam as ChatCompletionDeveloperMessageParam, + type ChatCompletionFunctionCallOption as ChatCompletionFunctionCallOption, + type ChatCompletionFunctionMessageParam as ChatCompletionFunctionMessageParam, + type ChatCompletionMessage as ChatCompletionMessage, + type ChatCompletionMessageParam as ChatCompletionMessageParam, + type ChatCompletionMessageToolCall as ChatCompletionMessageToolCall, + type ChatCompletionModality as ChatCompletionModality, + type ChatCompletionNamedToolChoice as ChatCompletionNamedToolChoice, + type ChatCompletionPredictionContent as ChatCompletionPredictionContent, + type ChatCompletionRole as ChatCompletionRole, + type ChatCompletionStoreMessage as ChatCompletionStoreMessage, + type ChatCompletionStreamOptions as ChatCompletionStreamOptions, + type ChatCompletionSystemMessageParam as ChatCompletionSystemMessageParam, + type ChatCompletionTokenLogprob as ChatCompletionTokenLogprob, + type ChatCompletionTool as ChatCompletionTool, + type ChatCompletionToolChoiceOption as ChatCompletionToolChoiceOption, + type ChatCompletionToolMessageParam as ChatCompletionToolMessageParam, + type ChatCompletionUserMessageParam as ChatCompletionUserMessageParam, + type CreateChatCompletionRequestMessage as CreateChatCompletionRequestMessage, + type ChatCompletionReasoningEffort as ChatCompletionReasoningEffort, + ChatCompletionsPage as ChatCompletionsPage, + type ChatCompletionCreateParams as ChatCompletionCreateParams, + type ChatCompletionCreateParamsNonStreaming as ChatCompletionCreateParamsNonStreaming, + type ChatCompletionCreateParamsStreaming as ChatCompletionCreateParamsStreaming, + type ChatCompletionUpdateParams as ChatCompletionUpdateParams, + type ChatCompletionListParams as ChatCompletionListParams, + }; + + export { + Embeddings as Embeddings, + type CreateEmbeddingResponse as CreateEmbeddingResponse, + type Embedding as Embedding, + type EmbeddingModel as EmbeddingModel, + type EmbeddingCreateParams as EmbeddingCreateParams, + }; + + export { + Files as Files, + type FileContent as FileContent, + type FileDeleted as FileDeleted, + type FileObject as FileObject, + type FilePurpose as FilePurpose, + FileObjectsPage as FileObjectsPage, + type FileCreateParams as FileCreateParams, + type FileListParams as FileListParams, + }; + + export { + Images as Images, + type Image as Image, + type ImageModel as ImageModel, + type ImagesResponse as ImagesResponse, + type ImageCreateVariationParams as ImageCreateVariationParams, + type ImageEditParams as ImageEditParams, + type ImageGenerateParams as ImageGenerateParams, + }; + + export { Audio as Audio, type AudioModel as AudioModel, type AudioResponseFormat as AudioResponseFormat }; + + export { + Moderations as Moderations, + type Moderation as Moderation, + type ModerationImageURLInput as ModerationImageURLInput, + type ModerationModel as ModerationModel, + type ModerationMultiModalInput as ModerationMultiModalInput, + type ModerationTextInput as ModerationTextInput, + type ModerationCreateResponse as ModerationCreateResponse, + type ModerationCreateParams as ModerationCreateParams, + }; + + export { + Models as Models, + type Model as Model, + type ModelDeleted as ModelDeleted, + ModelsPage as ModelsPage, + }; + + export { FineTuning as FineTuning }; + + export { Graders as Graders }; + + export { + VectorStores as VectorStores, + type AutoFileChunkingStrategyParam as AutoFileChunkingStrategyParam, + type FileChunkingStrategy as FileChunkingStrategy, + type FileChunkingStrategyParam as FileChunkingStrategyParam, + type OtherFileChunkingStrategyObject as OtherFileChunkingStrategyObject, + type StaticFileChunkingStrategy as StaticFileChunkingStrategy, + type StaticFileChunkingStrategyObject as StaticFileChunkingStrategyObject, + type StaticFileChunkingStrategyObjectParam as StaticFileChunkingStrategyObjectParam, + type VectorStore as VectorStore, + type VectorStoreDeleted as VectorStoreDeleted, + type VectorStoreSearchResponse as VectorStoreSearchResponse, + VectorStoresPage as VectorStoresPage, + VectorStoreSearchResponsesPage as VectorStoreSearchResponsesPage, + type VectorStoreCreateParams as VectorStoreCreateParams, + type VectorStoreUpdateParams as VectorStoreUpdateParams, + type VectorStoreListParams as VectorStoreListParams, + type VectorStoreSearchParams as VectorStoreSearchParams, + }; + + export { Beta as Beta }; + + export { + Batches as Batches, + type Batch as Batch, + type BatchError as BatchError, + type BatchRequestCounts as BatchRequestCounts, + BatchesPage as BatchesPage, + type BatchCreateParams as BatchCreateParams, + type BatchListParams as BatchListParams, + }; + + export { + UploadsAPIUploads as Uploads, + type Upload as Upload, + type UploadCreateParams as UploadCreateParams, + type UploadCompleteParams as UploadCompleteParams, + }; + + export { Responses as Responses }; + + export { + Evals as Evals, + type EvalCustomDataSourceConfig as EvalCustomDataSourceConfig, + type EvalStoredCompletionsDataSourceConfig as EvalStoredCompletionsDataSourceConfig, + type EvalCreateResponse as EvalCreateResponse, + type EvalRetrieveResponse as EvalRetrieveResponse, + type EvalUpdateResponse as EvalUpdateResponse, + type EvalListResponse as EvalListResponse, + type EvalDeleteResponse as EvalDeleteResponse, + EvalListResponsesPage as EvalListResponsesPage, + type EvalCreateParams as EvalCreateParams, + type EvalUpdateParams as EvalUpdateParams, + type EvalListParams as EvalListParams, + }; + + export type AllModels = API.AllModels; + export type ChatModel = API.ChatModel; + export type ComparisonFilter = API.ComparisonFilter; + export type CompoundFilter = API.CompoundFilter; + export type ErrorObject = API.ErrorObject; + export type FunctionDefinition = API.FunctionDefinition; + export type FunctionParameters = API.FunctionParameters; + export type Metadata = API.Metadata; + export type Reasoning = API.Reasoning; + export type ReasoningEffort = API.ReasoningEffort; + export type ResponseFormatJSONObject = API.ResponseFormatJSONObject; + export type ResponseFormatJSONSchema = API.ResponseFormatJSONSchema; + export type ResponseFormatText = API.ResponseFormatText; + export type ResponsesModel = API.ResponsesModel; +} + +// ---------------------- Azure ---------------------- + +/** API Client for interfacing with the Azure OpenAI API. */ +export interface AzureClientOptions extends ClientOptions { + /** + * Defaults to process.env['OPENAI_API_VERSION']. + */ + apiVersion?: string | undefined; + + /** + * Your Azure endpoint, including the resource, e.g. `https://example-resource.azure.openai.com/` + */ + endpoint?: string | undefined; + + /** + * A model deployment, if given, sets the base client URL to include `/deployments/{deployment}`. + * Note: this means you won't be able to use non-deployment endpoints. Not supported with Assistants APIs. + */ + deployment?: string | undefined; + + /** + * Defaults to process.env['AZURE_OPENAI_API_KEY']. + */ + apiKey?: string | undefined; + + /** + * A function that returns an access token for Microsoft Entra (formerly known as Azure Active Directory), + * which will be invoked on every request. + */ + azureADTokenProvider?: (() => Promise) | undefined; +} + +/** API Client for interfacing with the Azure OpenAI API. */ +export class AzureOpenAI extends OpenAI { + private _azureADTokenProvider: (() => Promise) | undefined; + deploymentName: string | undefined; + apiVersion: string = ''; + /** + * API Client for interfacing with the Azure OpenAI API. + * + * @param {string | undefined} [opts.apiVersion=process.env['OPENAI_API_VERSION'] ?? undefined] + * @param {string | undefined} [opts.endpoint=process.env['AZURE_OPENAI_ENDPOINT'] ?? undefined] - Your Azure endpoint, including the resource, e.g. `https://example-resource.azure.openai.com/` + * @param {string | undefined} [opts.apiKey=process.env['AZURE_OPENAI_API_KEY'] ?? undefined] + * @param {string | undefined} opts.deployment - A model deployment, if given, sets the base client URL to include `/deployments/{deployment}`. + * @param {string | null | undefined} [opts.organization=process.env['OPENAI_ORG_ID'] ?? null] + * @param {string} [opts.baseURL=process.env['OPENAI_BASE_URL']] - Sets the base URL for the API, e.g. `https://example-resource.azure.openai.com/openai/`. + * @param {number} [opts.timeout=10 minutes] - The maximum amount of time (in milliseconds) the client will wait for a response before timing out. + * @param {number} [opts.httpAgent] - An HTTP agent used to manage HTTP(s) connections. + * @param {Core.Fetch} [opts.fetch] - Specify a custom `fetch` function implementation. + * @param {number} [opts.maxRetries=2] - The maximum number of times the client will retry a request. + * @param {Core.Headers} opts.defaultHeaders - Default headers to include with every request to the API. + * @param {Core.DefaultQuery} opts.defaultQuery - Default query parameters to include with every request to the API. + * @param {boolean} [opts.dangerouslyAllowBrowser=false] - By default, client-side use of this library is not allowed, as it risks exposing your secret API credentials to attackers. + */ + constructor({ + baseURL = Core.readEnv('OPENAI_BASE_URL'), + apiKey = Core.readEnv('AZURE_OPENAI_API_KEY'), + apiVersion = Core.readEnv('OPENAI_API_VERSION'), + endpoint, + deployment, + azureADTokenProvider, + dangerouslyAllowBrowser, + ...opts + }: AzureClientOptions = {}) { + if (!apiVersion) { + throw new Errors.OpenAIError( + "The OPENAI_API_VERSION environment variable is missing or empty; either provide it, or instantiate the AzureOpenAI client with an apiVersion option, like new AzureOpenAI({ apiVersion: 'My API Version' }).", + ); + } + + if (typeof azureADTokenProvider === 'function') { + dangerouslyAllowBrowser = true; + } + + if (!azureADTokenProvider && !apiKey) { + throw new Errors.OpenAIError( + 'Missing credentials. Please pass one of `apiKey` and `azureADTokenProvider`, or set the `AZURE_OPENAI_API_KEY` environment variable.', + ); + } + + if (azureADTokenProvider && apiKey) { + throw new Errors.OpenAIError( + 'The `apiKey` and `azureADTokenProvider` arguments are mutually exclusive; only one can be passed at a time.', + ); + } + + // define a sentinel value to avoid any typing issues + apiKey ??= API_KEY_SENTINEL; + + opts.defaultQuery = { ...opts.defaultQuery, 'api-version': apiVersion }; + + if (!baseURL) { + if (!endpoint) { + endpoint = process.env['AZURE_OPENAI_ENDPOINT']; + } + + if (!endpoint) { + throw new Errors.OpenAIError( + 'Must provide one of the `baseURL` or `endpoint` arguments, or the `AZURE_OPENAI_ENDPOINT` environment variable', + ); + } + + baseURL = `${endpoint}/openai`; + } else { + if (endpoint) { + throw new Errors.OpenAIError('baseURL and endpoint are mutually exclusive'); + } + } + + super({ + apiKey, + baseURL, + ...opts, + ...(dangerouslyAllowBrowser !== undefined ? { dangerouslyAllowBrowser } : {}), + }); + + this._azureADTokenProvider = azureADTokenProvider; + this.apiVersion = apiVersion; + this.deploymentName = deployment; + } + + override buildRequest( + options: Core.FinalRequestOptions, + props: { retryCount?: number } = {}, + ): { + req: RequestInit; + url: string; + timeout: number; + } { + if (_deployments_endpoints.has(options.path) && options.method === 'post' && options.body !== undefined) { + if (!Core.isObj(options.body)) { + throw new Error('Expected request body to be an object'); + } + const model = this.deploymentName || options.body['model'] || options.__metadata?.['model']; + if (model !== undefined && !this.baseURL.includes('/deployments')) { + options.path = `/deployments/${model}${options.path}`; + } + } + return super.buildRequest(options, props); + } + + async _getAzureADToken(): Promise { + if (typeof this._azureADTokenProvider === 'function') { + const token = await this._azureADTokenProvider(); + if (!token || typeof token !== 'string') { + throw new Errors.OpenAIError( + `Expected 'azureADTokenProvider' argument to return a string but it returned ${token}`, + ); + } + return token; + } + return undefined; + } + + protected override authHeaders(opts: Core.FinalRequestOptions): Core.Headers { + return {}; + } + + protected override async prepareOptions(opts: Core.FinalRequestOptions): Promise { + /** + * The user should provide a bearer token provider if they want + * to use Azure AD authentication. The user shouldn't set the + * Authorization header manually because the header is overwritten + * with the Azure AD token if a bearer token provider is provided. + */ + if (opts.headers?.['api-key']) { + return super.prepareOptions(opts); + } + const token = await this._getAzureADToken(); + opts.headers ??= {}; + if (token) { + opts.headers['Authorization'] = `Bearer ${token}`; + } else if (this.apiKey !== API_KEY_SENTINEL) { + opts.headers['api-key'] = this.apiKey; + } else { + throw new Errors.OpenAIError('Unable to handle auth'); + } + return super.prepareOptions(opts); + } +} + +const _deployments_endpoints = new Set([ + '/completions', + '/chat/completions', + '/embeddings', + '/audio/transcriptions', + '/audio/translations', + '/audio/speech', + '/images/generations', +]); + +const API_KEY_SENTINEL = ''; + +// ---------------------- End Azure ---------------------- + +export { toFile, fileFromPath } from './uploads'; +export { + OpenAIError, + APIError, + APIConnectionError, + APIConnectionTimeoutError, + APIUserAbortError, + NotFoundError, + ConflictError, + RateLimitError, + BadRequestError, + AuthenticationError, + InternalServerError, + PermissionDeniedError, + UnprocessableEntityError, +} from './error'; + +export default OpenAI; diff --git a/src/internal/decoders/line.ts b/src/internal/decoders/line.ts new file mode 100644 index 000000000..947f240b3 --- /dev/null +++ b/src/internal/decoders/line.ts @@ -0,0 +1,176 @@ +import { OpenAIError } from '../../error'; + +export type Bytes = string | ArrayBuffer | Uint8Array | Buffer | null | undefined; + +/** + * A re-implementation of httpx's `LineDecoder` in Python that handles incrementally + * reading lines from text. + * + * https://github.com/encode/httpx/blob/920333ea98118e9cf617f246905d7b202510941c/httpx/_decoders.py#L258 + */ +export class LineDecoder { + // prettier-ignore + static NEWLINE_CHARS = new Set(['\n', '\r']); + static NEWLINE_REGEXP = /\r\n|[\n\r]/g; + + buffer: Uint8Array; + #carriageReturnIndex: number | null; + textDecoder: any; // TextDecoder found in browsers; not typed to avoid pulling in either "dom" or "node" types. + + constructor() { + this.buffer = new Uint8Array(); + this.#carriageReturnIndex = null; + } + + decode(chunk: Bytes): string[] { + if (chunk == null) { + return []; + } + + const binaryChunk = + chunk instanceof ArrayBuffer ? new Uint8Array(chunk) + : typeof chunk === 'string' ? new TextEncoder().encode(chunk) + : chunk; + + let newData = new Uint8Array(this.buffer.length + binaryChunk.length); + newData.set(this.buffer); + newData.set(binaryChunk, this.buffer.length); + this.buffer = newData; + + const lines: string[] = []; + let patternIndex; + while ((patternIndex = findNewlineIndex(this.buffer, this.#carriageReturnIndex)) != null) { + if (patternIndex.carriage && this.#carriageReturnIndex == null) { + // skip until we either get a corresponding `\n`, a new `\r` or nothing + this.#carriageReturnIndex = patternIndex.index; + continue; + } + + // we got double \r or \rtext\n + if ( + this.#carriageReturnIndex != null && + (patternIndex.index !== this.#carriageReturnIndex + 1 || patternIndex.carriage) + ) { + lines.push(this.decodeText(this.buffer.slice(0, this.#carriageReturnIndex - 1))); + this.buffer = this.buffer.slice(this.#carriageReturnIndex); + this.#carriageReturnIndex = null; + continue; + } + + const endIndex = + this.#carriageReturnIndex !== null ? patternIndex.preceding - 1 : patternIndex.preceding; + + const line = this.decodeText(this.buffer.slice(0, endIndex)); + lines.push(line); + + this.buffer = this.buffer.slice(patternIndex.index); + this.#carriageReturnIndex = null; + } + + return lines; + } + + decodeText(bytes: Bytes): string { + if (bytes == null) return ''; + if (typeof bytes === 'string') return bytes; + + // Node: + if (typeof Buffer !== 'undefined') { + if (bytes instanceof Buffer) { + return bytes.toString(); + } + if (bytes instanceof Uint8Array) { + return Buffer.from(bytes).toString(); + } + + throw new OpenAIError( + `Unexpected: received non-Uint8Array (${bytes.constructor.name}) stream chunk in an environment with a global "Buffer" defined, which this library assumes to be Node. Please report this error.`, + ); + } + + // Browser + if (typeof TextDecoder !== 'undefined') { + if (bytes instanceof Uint8Array || bytes instanceof ArrayBuffer) { + this.textDecoder ??= new TextDecoder('utf8'); + return this.textDecoder.decode(bytes); + } + + throw new OpenAIError( + `Unexpected: received non-Uint8Array/ArrayBuffer (${ + (bytes as any).constructor.name + }) in a web platform. Please report this error.`, + ); + } + + throw new OpenAIError( + `Unexpected: neither Buffer nor TextDecoder are available as globals. Please report this error.`, + ); + } + + flush(): string[] { + if (!this.buffer.length) { + return []; + } + return this.decode('\n'); + } +} + +/** + * This function searches the buffer for the end patterns, (\r or \n) + * and returns an object with the index preceding the matched newline and the + * index after the newline char. `null` is returned if no new line is found. + * + * ```ts + * findNewLineIndex('abc\ndef') -> { preceding: 2, index: 3 } + * ``` + */ +function findNewlineIndex( + buffer: Uint8Array, + startIndex: number | null, +): { preceding: number; index: number; carriage: boolean } | null { + const newline = 0x0a; // \n + const carriage = 0x0d; // \r + + for (let i = startIndex ?? 0; i < buffer.length; i++) { + if (buffer[i] === newline) { + return { preceding: i, index: i + 1, carriage: false }; + } + + if (buffer[i] === carriage) { + return { preceding: i, index: i + 1, carriage: true }; + } + } + + return null; +} + +export function findDoubleNewlineIndex(buffer: Uint8Array): number { + // This function searches the buffer for the end patterns (\r\r, \n\n, \r\n\r\n) + // and returns the index right after the first occurrence of any pattern, + // or -1 if none of the patterns are found. + const newline = 0x0a; // \n + const carriage = 0x0d; // \r + + for (let i = 0; i < buffer.length - 1; i++) { + if (buffer[i] === newline && buffer[i + 1] === newline) { + // \n\n + return i + 2; + } + if (buffer[i] === carriage && buffer[i + 1] === carriage) { + // \r\r + return i + 2; + } + if ( + buffer[i] === carriage && + buffer[i + 1] === newline && + i + 3 < buffer.length && + buffer[i + 2] === carriage && + buffer[i + 3] === newline + ) { + // \r\n\r\n + return i + 4; + } + } + + return -1; +} diff --git a/src/internal/qs/LICENSE.md b/src/internal/qs/LICENSE.md new file mode 100644 index 000000000..3fda1573b --- /dev/null +++ b/src/internal/qs/LICENSE.md @@ -0,0 +1,13 @@ +BSD 3-Clause License + +Copyright (c) 2014, Nathan LaFreniere and other [contributors](https://github.com/puruvj/neoqs/graphs/contributors) All rights reserved. + +Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: + +1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. + +2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. + +3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/src/internal/qs/README.md b/src/internal/qs/README.md new file mode 100644 index 000000000..67ae04ecd --- /dev/null +++ b/src/internal/qs/README.md @@ -0,0 +1,3 @@ +# qs + +This is a vendored version of [neoqs](https://github.com/PuruVJ/neoqs) which is a TypeScript rewrite of [qs](https://github.com/ljharb/qs), a query string library. diff --git a/src/internal/qs/formats.ts b/src/internal/qs/formats.ts new file mode 100644 index 000000000..1cf9e2cde --- /dev/null +++ b/src/internal/qs/formats.ts @@ -0,0 +1,9 @@ +import type { Format } from './types'; + +export const default_format: Format = 'RFC3986'; +export const formatters: Record string> = { + RFC1738: (v: PropertyKey) => String(v).replace(/%20/g, '+'), + RFC3986: (v: PropertyKey) => String(v), +}; +export const RFC1738 = 'RFC1738'; +export const RFC3986 = 'RFC3986'; diff --git a/src/internal/qs/index.ts b/src/internal/qs/index.ts new file mode 100644 index 000000000..c3a3620d0 --- /dev/null +++ b/src/internal/qs/index.ts @@ -0,0 +1,13 @@ +import { default_format, formatters, RFC1738, RFC3986 } from './formats'; + +const formats = { + formatters, + RFC1738, + RFC3986, + default: default_format, +}; + +export { stringify } from './stringify'; +export { formats }; + +export type { DefaultDecoder, DefaultEncoder, Format, ParseOptions, StringifyOptions } from './types'; diff --git a/src/internal/qs/stringify.ts b/src/internal/qs/stringify.ts new file mode 100644 index 000000000..67497561a --- /dev/null +++ b/src/internal/qs/stringify.ts @@ -0,0 +1,388 @@ +import { encode, is_buffer, maybe_map } from './utils'; +import { default_format, formatters } from './formats'; +import type { NonNullableProperties, StringifyOptions } from './types'; + +const has = Object.prototype.hasOwnProperty; + +const array_prefix_generators = { + brackets(prefix: PropertyKey) { + return String(prefix) + '[]'; + }, + comma: 'comma', + indices(prefix: PropertyKey, key: string) { + return String(prefix) + '[' + key + ']'; + }, + repeat(prefix: PropertyKey) { + return String(prefix); + }, +}; + +const is_array = Array.isArray; +const push = Array.prototype.push; +const push_to_array = function (arr: any[], value_or_array: any) { + push.apply(arr, is_array(value_or_array) ? value_or_array : [value_or_array]); +}; + +const to_ISO = Date.prototype.toISOString; + +const defaults = { + addQueryPrefix: false, + allowDots: false, + allowEmptyArrays: false, + arrayFormat: 'indices', + charset: 'utf-8', + charsetSentinel: false, + delimiter: '&', + encode: true, + encodeDotInKeys: false, + encoder: encode, + encodeValuesOnly: false, + format: default_format, + formatter: formatters[default_format], + /** @deprecated */ + indices: false, + serializeDate(date) { + return to_ISO.call(date); + }, + skipNulls: false, + strictNullHandling: false, +} as NonNullableProperties; + +function is_non_nullish_primitive(v: unknown): v is string | number | boolean | symbol | bigint { + return ( + typeof v === 'string' || + typeof v === 'number' || + typeof v === 'boolean' || + typeof v === 'symbol' || + typeof v === 'bigint' + ); +} + +const sentinel = {}; + +function inner_stringify( + object: any, + prefix: PropertyKey, + generateArrayPrefix: StringifyOptions['arrayFormat'] | ((prefix: string, key: string) => string), + commaRoundTrip: boolean, + allowEmptyArrays: boolean, + strictNullHandling: boolean, + skipNulls: boolean, + encodeDotInKeys: boolean, + encoder: StringifyOptions['encoder'], + filter: StringifyOptions['filter'], + sort: StringifyOptions['sort'], + allowDots: StringifyOptions['allowDots'], + serializeDate: StringifyOptions['serializeDate'], + format: StringifyOptions['format'], + formatter: StringifyOptions['formatter'], + encodeValuesOnly: boolean, + charset: StringifyOptions['charset'], + sideChannel: WeakMap, +) { + let obj = object; + + let tmp_sc = sideChannel; + let step = 0; + let find_flag = false; + while ((tmp_sc = tmp_sc.get(sentinel)) !== void undefined && !find_flag) { + // Where object last appeared in the ref tree + const pos = tmp_sc.get(object); + step += 1; + if (typeof pos !== 'undefined') { + if (pos === step) { + throw new RangeError('Cyclic object value'); + } else { + find_flag = true; // Break while + } + } + if (typeof tmp_sc.get(sentinel) === 'undefined') { + step = 0; + } + } + + if (typeof filter === 'function') { + obj = filter(prefix, obj); + } else if (obj instanceof Date) { + obj = serializeDate?.(obj); + } else if (generateArrayPrefix === 'comma' && is_array(obj)) { + obj = maybe_map(obj, function (value) { + if (value instanceof Date) { + return serializeDate?.(value); + } + return value; + }); + } + + if (obj === null) { + if (strictNullHandling) { + return encoder && !encodeValuesOnly ? + // @ts-expect-error + encoder(prefix, defaults.encoder, charset, 'key', format) + : prefix; + } + + obj = ''; + } + + if (is_non_nullish_primitive(obj) || is_buffer(obj)) { + if (encoder) { + const key_value = + encodeValuesOnly ? prefix + // @ts-expect-error + : encoder(prefix, defaults.encoder, charset, 'key', format); + return [ + formatter?.(key_value) + + '=' + + // @ts-expect-error + formatter?.(encoder(obj, defaults.encoder, charset, 'value', format)), + ]; + } + return [formatter?.(prefix) + '=' + formatter?.(String(obj))]; + } + + const values: string[] = []; + + if (typeof obj === 'undefined') { + return values; + } + + let obj_keys; + if (generateArrayPrefix === 'comma' && is_array(obj)) { + // we need to join elements in + if (encodeValuesOnly && encoder) { + // @ts-expect-error values only + obj = maybe_map(obj, encoder); + } + obj_keys = [{ value: obj.length > 0 ? obj.join(',') || null : void undefined }]; + } else if (is_array(filter)) { + obj_keys = filter; + } else { + const keys = Object.keys(obj); + obj_keys = sort ? keys.sort(sort) : keys; + } + + const encoded_prefix = encodeDotInKeys ? String(prefix).replace(/\./g, '%2E') : String(prefix); + + const adjusted_prefix = + commaRoundTrip && is_array(obj) && obj.length === 1 ? encoded_prefix + '[]' : encoded_prefix; + + if (allowEmptyArrays && is_array(obj) && obj.length === 0) { + return adjusted_prefix + '[]'; + } + + for (let j = 0; j < obj_keys.length; ++j) { + const key = obj_keys[j]; + const value = + // @ts-ignore + typeof key === 'object' && typeof key.value !== 'undefined' ? key.value : obj[key as any]; + + if (skipNulls && value === null) { + continue; + } + + // @ts-ignore + const encoded_key = allowDots && encodeDotInKeys ? (key as any).replace(/\./g, '%2E') : key; + const key_prefix = + is_array(obj) ? + typeof generateArrayPrefix === 'function' ? + generateArrayPrefix(adjusted_prefix, encoded_key) + : adjusted_prefix + : adjusted_prefix + (allowDots ? '.' + encoded_key : '[' + encoded_key + ']'); + + sideChannel.set(object, step); + const valueSideChannel = new WeakMap(); + valueSideChannel.set(sentinel, sideChannel); + push_to_array( + values, + inner_stringify( + value, + key_prefix, + generateArrayPrefix, + commaRoundTrip, + allowEmptyArrays, + strictNullHandling, + skipNulls, + encodeDotInKeys, + // @ts-ignore + generateArrayPrefix === 'comma' && encodeValuesOnly && is_array(obj) ? null : encoder, + filter, + sort, + allowDots, + serializeDate, + format, + formatter, + encodeValuesOnly, + charset, + valueSideChannel, + ), + ); + } + + return values; +} + +function normalize_stringify_options( + opts: StringifyOptions = defaults, +): NonNullableProperties> & { indices?: boolean } { + if (typeof opts.allowEmptyArrays !== 'undefined' && typeof opts.allowEmptyArrays !== 'boolean') { + throw new TypeError('`allowEmptyArrays` option can only be `true` or `false`, when provided'); + } + + if (typeof opts.encodeDotInKeys !== 'undefined' && typeof opts.encodeDotInKeys !== 'boolean') { + throw new TypeError('`encodeDotInKeys` option can only be `true` or `false`, when provided'); + } + + if (opts.encoder !== null && typeof opts.encoder !== 'undefined' && typeof opts.encoder !== 'function') { + throw new TypeError('Encoder has to be a function.'); + } + + const charset = opts.charset || defaults.charset; + if (typeof opts.charset !== 'undefined' && opts.charset !== 'utf-8' && opts.charset !== 'iso-8859-1') { + throw new TypeError('The charset option must be either utf-8, iso-8859-1, or undefined'); + } + + let format = default_format; + if (typeof opts.format !== 'undefined') { + if (!has.call(formatters, opts.format)) { + throw new TypeError('Unknown format option provided.'); + } + format = opts.format; + } + const formatter = formatters[format]; + + let filter = defaults.filter; + if (typeof opts.filter === 'function' || is_array(opts.filter)) { + filter = opts.filter; + } + + let arrayFormat: StringifyOptions['arrayFormat']; + if (opts.arrayFormat && opts.arrayFormat in array_prefix_generators) { + arrayFormat = opts.arrayFormat; + } else if ('indices' in opts) { + arrayFormat = opts.indices ? 'indices' : 'repeat'; + } else { + arrayFormat = defaults.arrayFormat; + } + + if ('commaRoundTrip' in opts && typeof opts.commaRoundTrip !== 'boolean') { + throw new TypeError('`commaRoundTrip` must be a boolean, or absent'); + } + + const allowDots = + typeof opts.allowDots === 'undefined' ? + !!opts.encodeDotInKeys === true ? + true + : defaults.allowDots + : !!opts.allowDots; + + return { + addQueryPrefix: typeof opts.addQueryPrefix === 'boolean' ? opts.addQueryPrefix : defaults.addQueryPrefix, + // @ts-ignore + allowDots: allowDots, + allowEmptyArrays: + typeof opts.allowEmptyArrays === 'boolean' ? !!opts.allowEmptyArrays : defaults.allowEmptyArrays, + arrayFormat: arrayFormat, + charset: charset, + charsetSentinel: + typeof opts.charsetSentinel === 'boolean' ? opts.charsetSentinel : defaults.charsetSentinel, + commaRoundTrip: !!opts.commaRoundTrip, + delimiter: typeof opts.delimiter === 'undefined' ? defaults.delimiter : opts.delimiter, + encode: typeof opts.encode === 'boolean' ? opts.encode : defaults.encode, + encodeDotInKeys: + typeof opts.encodeDotInKeys === 'boolean' ? opts.encodeDotInKeys : defaults.encodeDotInKeys, + encoder: typeof opts.encoder === 'function' ? opts.encoder : defaults.encoder, + encodeValuesOnly: + typeof opts.encodeValuesOnly === 'boolean' ? opts.encodeValuesOnly : defaults.encodeValuesOnly, + filter: filter, + format: format, + formatter: formatter, + serializeDate: typeof opts.serializeDate === 'function' ? opts.serializeDate : defaults.serializeDate, + skipNulls: typeof opts.skipNulls === 'boolean' ? opts.skipNulls : defaults.skipNulls, + // @ts-ignore + sort: typeof opts.sort === 'function' ? opts.sort : null, + strictNullHandling: + typeof opts.strictNullHandling === 'boolean' ? opts.strictNullHandling : defaults.strictNullHandling, + }; +} + +export function stringify(object: any, opts: StringifyOptions = {}) { + let obj = object; + const options = normalize_stringify_options(opts); + + let obj_keys: PropertyKey[] | undefined; + let filter; + + if (typeof options.filter === 'function') { + filter = options.filter; + obj = filter('', obj); + } else if (is_array(options.filter)) { + filter = options.filter; + obj_keys = filter; + } + + const keys: string[] = []; + + if (typeof obj !== 'object' || obj === null) { + return ''; + } + + const generateArrayPrefix = array_prefix_generators[options.arrayFormat]; + const commaRoundTrip = generateArrayPrefix === 'comma' && options.commaRoundTrip; + + if (!obj_keys) { + obj_keys = Object.keys(obj); + } + + if (options.sort) { + obj_keys.sort(options.sort); + } + + const sideChannel = new WeakMap(); + for (let i = 0; i < obj_keys.length; ++i) { + const key = obj_keys[i]!; + + if (options.skipNulls && obj[key] === null) { + continue; + } + push_to_array( + keys, + inner_stringify( + obj[key], + key, + // @ts-expect-error + generateArrayPrefix, + commaRoundTrip, + options.allowEmptyArrays, + options.strictNullHandling, + options.skipNulls, + options.encodeDotInKeys, + options.encode ? options.encoder : null, + options.filter, + options.sort, + options.allowDots, + options.serializeDate, + options.format, + options.formatter, + options.encodeValuesOnly, + options.charset, + sideChannel, + ), + ); + } + + const joined = keys.join(options.delimiter); + let prefix = options.addQueryPrefix === true ? '?' : ''; + + if (options.charsetSentinel) { + if (options.charset === 'iso-8859-1') { + // encodeURIComponent('✓'), the "numeric entity" representation of a checkmark + prefix += 'utf8=%26%2310003%3B&'; + } else { + // encodeURIComponent('✓') + prefix += 'utf8=%E2%9C%93&'; + } + } + + return joined.length > 0 ? prefix + joined : ''; +} diff --git a/src/internal/qs/types.ts b/src/internal/qs/types.ts new file mode 100644 index 000000000..7c28dbb46 --- /dev/null +++ b/src/internal/qs/types.ts @@ -0,0 +1,71 @@ +export type Format = 'RFC1738' | 'RFC3986'; + +export type DefaultEncoder = (str: any, defaultEncoder?: any, charset?: string) => string; +export type DefaultDecoder = (str: string, decoder?: any, charset?: string) => string; + +export type BooleanOptional = boolean | undefined; + +export type StringifyBaseOptions = { + delimiter?: string; + allowDots?: boolean; + encodeDotInKeys?: boolean; + strictNullHandling?: boolean; + skipNulls?: boolean; + encode?: boolean; + encoder?: ( + str: any, + defaultEncoder: DefaultEncoder, + charset: string, + type: 'key' | 'value', + format?: Format, + ) => string; + filter?: Array | ((prefix: PropertyKey, value: any) => any); + arrayFormat?: 'indices' | 'brackets' | 'repeat' | 'comma'; + indices?: boolean; + sort?: ((a: PropertyKey, b: PropertyKey) => number) | null; + serializeDate?: (d: Date) => string; + format?: 'RFC1738' | 'RFC3986'; + formatter?: (str: PropertyKey) => string; + encodeValuesOnly?: boolean; + addQueryPrefix?: boolean; + charset?: 'utf-8' | 'iso-8859-1'; + charsetSentinel?: boolean; + allowEmptyArrays?: boolean; + commaRoundTrip?: boolean; +}; + +export type StringifyOptions = StringifyBaseOptions; + +export type ParseBaseOptions = { + comma?: boolean; + delimiter?: string | RegExp; + depth?: number | false; + decoder?: (str: string, defaultDecoder: DefaultDecoder, charset: string, type: 'key' | 'value') => any; + arrayLimit?: number; + parseArrays?: boolean; + plainObjects?: boolean; + allowPrototypes?: boolean; + allowSparse?: boolean; + parameterLimit?: number; + strictDepth?: boolean; + strictNullHandling?: boolean; + ignoreQueryPrefix?: boolean; + charset?: 'utf-8' | 'iso-8859-1'; + charsetSentinel?: boolean; + interpretNumericEntities?: boolean; + allowEmptyArrays?: boolean; + duplicates?: 'combine' | 'first' | 'last'; + allowDots?: boolean; + decodeDotInKeys?: boolean; +}; + +export type ParseOptions = ParseBaseOptions; + +export type ParsedQs = { + [key: string]: undefined | string | string[] | ParsedQs | ParsedQs[]; +}; + +// Type to remove null or undefined union from each property +export type NonNullableProperties = { + [K in keyof T]-?: Exclude; +}; diff --git a/src/internal/qs/utils.ts b/src/internal/qs/utils.ts new file mode 100644 index 000000000..113b18fb9 --- /dev/null +++ b/src/internal/qs/utils.ts @@ -0,0 +1,265 @@ +import { RFC1738 } from './formats'; +import type { DefaultEncoder, Format } from './types'; + +const has = Object.prototype.hasOwnProperty; +const is_array = Array.isArray; + +const hex_table = (() => { + const array = []; + for (let i = 0; i < 256; ++i) { + array.push('%' + ((i < 16 ? '0' : '') + i.toString(16)).toUpperCase()); + } + + return array; +})(); + +function compact_queue>(queue: Array<{ obj: T; prop: string }>) { + while (queue.length > 1) { + const item = queue.pop(); + if (!item) continue; + + const obj = item.obj[item.prop]; + + if (is_array(obj)) { + const compacted: unknown[] = []; + + for (let j = 0; j < obj.length; ++j) { + if (typeof obj[j] !== 'undefined') { + compacted.push(obj[j]); + } + } + + // @ts-ignore + item.obj[item.prop] = compacted; + } + } +} + +function array_to_object(source: any[], options: { plainObjects: boolean }) { + const obj = options && options.plainObjects ? Object.create(null) : {}; + for (let i = 0; i < source.length; ++i) { + if (typeof source[i] !== 'undefined') { + obj[i] = source[i]; + } + } + + return obj; +} + +export function merge( + target: any, + source: any, + options: { plainObjects?: boolean; allowPrototypes?: boolean } = {}, +) { + if (!source) { + return target; + } + + if (typeof source !== 'object') { + if (is_array(target)) { + target.push(source); + } else if (target && typeof target === 'object') { + if ( + (options && (options.plainObjects || options.allowPrototypes)) || + !has.call(Object.prototype, source) + ) { + target[source] = true; + } + } else { + return [target, source]; + } + + return target; + } + + if (!target || typeof target !== 'object') { + return [target].concat(source); + } + + let mergeTarget = target; + if (is_array(target) && !is_array(source)) { + // @ts-ignore + mergeTarget = array_to_object(target, options); + } + + if (is_array(target) && is_array(source)) { + source.forEach(function (item, i) { + if (has.call(target, i)) { + const targetItem = target[i]; + if (targetItem && typeof targetItem === 'object' && item && typeof item === 'object') { + target[i] = merge(targetItem, item, options); + } else { + target.push(item); + } + } else { + target[i] = item; + } + }); + return target; + } + + return Object.keys(source).reduce(function (acc, key) { + const value = source[key]; + + if (has.call(acc, key)) { + acc[key] = merge(acc[key], value, options); + } else { + acc[key] = value; + } + return acc; + }, mergeTarget); +} + +export function assign_single_source(target: any, source: any) { + return Object.keys(source).reduce(function (acc, key) { + acc[key] = source[key]; + return acc; + }, target); +} + +export function decode(str: string, _: any, charset: string) { + const strWithoutPlus = str.replace(/\+/g, ' '); + if (charset === 'iso-8859-1') { + // unescape never throws, no try...catch needed: + return strWithoutPlus.replace(/%[0-9a-f]{2}/gi, unescape); + } + // utf-8 + try { + return decodeURIComponent(strWithoutPlus); + } catch (e) { + return strWithoutPlus; + } +} + +const limit = 1024; + +export const encode: ( + str: any, + defaultEncoder: DefaultEncoder, + charset: string, + type: 'key' | 'value', + format: Format, +) => string = (str, _defaultEncoder, charset, _kind, format: Format) => { + // This code was originally written by Brian White for the io.js core querystring library. + // It has been adapted here for stricter adherence to RFC 3986 + if (str.length === 0) { + return str; + } + + let string = str; + if (typeof str === 'symbol') { + string = Symbol.prototype.toString.call(str); + } else if (typeof str !== 'string') { + string = String(str); + } + + if (charset === 'iso-8859-1') { + return escape(string).replace(/%u[0-9a-f]{4}/gi, function ($0) { + return '%26%23' + parseInt($0.slice(2), 16) + '%3B'; + }); + } + + let out = ''; + for (let j = 0; j < string.length; j += limit) { + const segment = string.length >= limit ? string.slice(j, j + limit) : string; + const arr = []; + + for (let i = 0; i < segment.length; ++i) { + let c = segment.charCodeAt(i); + if ( + c === 0x2d || // - + c === 0x2e || // . + c === 0x5f || // _ + c === 0x7e || // ~ + (c >= 0x30 && c <= 0x39) || // 0-9 + (c >= 0x41 && c <= 0x5a) || // a-z + (c >= 0x61 && c <= 0x7a) || // A-Z + (format === RFC1738 && (c === 0x28 || c === 0x29)) // ( ) + ) { + arr[arr.length] = segment.charAt(i); + continue; + } + + if (c < 0x80) { + arr[arr.length] = hex_table[c]; + continue; + } + + if (c < 0x800) { + arr[arr.length] = hex_table[0xc0 | (c >> 6)]! + hex_table[0x80 | (c & 0x3f)]; + continue; + } + + if (c < 0xd800 || c >= 0xe000) { + arr[arr.length] = + hex_table[0xe0 | (c >> 12)]! + hex_table[0x80 | ((c >> 6) & 0x3f)] + hex_table[0x80 | (c & 0x3f)]; + continue; + } + + i += 1; + c = 0x10000 + (((c & 0x3ff) << 10) | (segment.charCodeAt(i) & 0x3ff)); + + arr[arr.length] = + hex_table[0xf0 | (c >> 18)]! + + hex_table[0x80 | ((c >> 12) & 0x3f)] + + hex_table[0x80 | ((c >> 6) & 0x3f)] + + hex_table[0x80 | (c & 0x3f)]; + } + + out += arr.join(''); + } + + return out; +}; + +export function compact(value: any) { + const queue = [{ obj: { o: value }, prop: 'o' }]; + const refs = []; + + for (let i = 0; i < queue.length; ++i) { + const item = queue[i]; + // @ts-ignore + const obj = item.obj[item.prop]; + + const keys = Object.keys(obj); + for (let j = 0; j < keys.length; ++j) { + const key = keys[j]!; + const val = obj[key]; + if (typeof val === 'object' && val !== null && refs.indexOf(val) === -1) { + queue.push({ obj: obj, prop: key }); + refs.push(val); + } + } + } + + compact_queue(queue); + + return value; +} + +export function is_regexp(obj: any) { + return Object.prototype.toString.call(obj) === '[object RegExp]'; +} + +export function is_buffer(obj: any) { + if (!obj || typeof obj !== 'object') { + return false; + } + + return !!(obj.constructor && obj.constructor.isBuffer && obj.constructor.isBuffer(obj)); +} + +export function combine(a: any, b: any) { + return [].concat(a, b); +} + +export function maybe_map(val: T[], fn: (v: T) => T) { + if (is_array(val)) { + const mapped = []; + for (let i = 0; i < val.length; i += 1) { + mapped.push(fn(val[i]!)); + } + return mapped; + } + return fn(val); +} diff --git a/src/internal/stream-utils.ts b/src/internal/stream-utils.ts new file mode 100644 index 000000000..37f7793cf --- /dev/null +++ b/src/internal/stream-utils.ts @@ -0,0 +1,32 @@ +/** + * Most browsers don't yet have async iterable support for ReadableStream, + * and Node has a very different way of reading bytes from its "ReadableStream". + * + * This polyfill was pulled from https://github.com/MattiasBuelens/web-streams-polyfill/pull/122#issuecomment-1627354490 + */ +export function ReadableStreamToAsyncIterable(stream: any): AsyncIterableIterator { + if (stream[Symbol.asyncIterator]) return stream; + + const reader = stream.getReader(); + return { + async next() { + try { + const result = await reader.read(); + if (result?.done) reader.releaseLock(); // release lock when stream becomes closed + return result; + } catch (e) { + reader.releaseLock(); // release lock when stream becomes errored + throw e; + } + }, + async return() { + const cancelPromise = reader.cancel(); + reader.releaseLock(); + await cancelPromise; + return { done: true, value: undefined }; + }, + [Symbol.asyncIterator]() { + return this; + }, + }; +} diff --git a/src/lib/.keep b/src/lib/.keep new file mode 100644 index 000000000..7554f8b20 --- /dev/null +++ b/src/lib/.keep @@ -0,0 +1,4 @@ +File generated from our OpenAPI spec by Stainless. + +This directory can be used to store custom files to expand the SDK. +It is ignored by Stainless code generation and its content (other than this keep file) won't be touched. diff --git a/src/lib/AbstractChatCompletionRunner.ts b/src/lib/AbstractChatCompletionRunner.ts new file mode 100644 index 000000000..406f5a431 --- /dev/null +++ b/src/lib/AbstractChatCompletionRunner.ts @@ -0,0 +1,503 @@ +import * as Core from '../core'; +import { type CompletionUsage } from '../resources/completions'; +import { + type ChatCompletion, + type ChatCompletionMessage, + type ChatCompletionMessageParam, + type ChatCompletionCreateParams, + type ChatCompletionTool, +} from '../resources/chat/completions'; +import { OpenAIError } from '../error'; +import { + type RunnableFunction, + isRunnableFunctionWithParse, + type BaseFunctionsArgs, + RunnableToolFunction, +} from './RunnableFunction'; +import { ChatCompletionFunctionRunnerParams, ChatCompletionToolRunnerParams } from './ChatCompletionRunner'; +import { + ChatCompletionStreamingFunctionRunnerParams, + ChatCompletionStreamingToolRunnerParams, +} from './ChatCompletionStreamingRunner'; +import { isAssistantMessage, isFunctionMessage, isToolMessage } from './chatCompletionUtils'; +import { BaseEvents, EventStream } from './EventStream'; +import { ParsedChatCompletion } from '../resources/beta/chat/completions'; +import OpenAI from '../index'; +import { isAutoParsableTool, parseChatCompletion } from '../lib/parser'; + +const DEFAULT_MAX_CHAT_COMPLETIONS = 10; +export interface RunnerOptions extends Core.RequestOptions { + /** How many requests to make before canceling. Default 10. */ + maxChatCompletions?: number; +} + +export class AbstractChatCompletionRunner< + EventTypes extends AbstractChatCompletionRunnerEvents, + ParsedT, +> extends EventStream { + protected _chatCompletions: ParsedChatCompletion[] = []; + messages: ChatCompletionMessageParam[] = []; + + protected _addChatCompletion( + this: AbstractChatCompletionRunner, + chatCompletion: ParsedChatCompletion, + ): ParsedChatCompletion { + this._chatCompletions.push(chatCompletion); + this._emit('chatCompletion', chatCompletion); + const message = chatCompletion.choices[0]?.message; + if (message) this._addMessage(message as ChatCompletionMessageParam); + return chatCompletion; + } + + protected _addMessage( + this: AbstractChatCompletionRunner, + message: ChatCompletionMessageParam, + emit = true, + ) { + if (!('content' in message)) message.content = null; + + this.messages.push(message); + + if (emit) { + this._emit('message', message); + if ((isFunctionMessage(message) || isToolMessage(message)) && message.content) { + // Note, this assumes that {role: 'tool', content: …} is always the result of a call of tool of type=function. + this._emit('functionCallResult', message.content as string); + } else if (isAssistantMessage(message) && message.function_call) { + this._emit('functionCall', message.function_call); + } else if (isAssistantMessage(message) && message.tool_calls) { + for (const tool_call of message.tool_calls) { + if (tool_call.type === 'function') { + this._emit('functionCall', tool_call.function); + } + } + } + } + } + + /** + * @returns a promise that resolves with the final ChatCompletion, or rejects + * if an error occurred or the stream ended prematurely without producing a ChatCompletion. + */ + async finalChatCompletion(): Promise> { + await this.done(); + const completion = this._chatCompletions[this._chatCompletions.length - 1]; + if (!completion) throw new OpenAIError('stream ended without producing a ChatCompletion'); + return completion; + } + + #getFinalContent(): string | null { + return this.#getFinalMessage().content ?? null; + } + + /** + * @returns a promise that resolves with the content of the final ChatCompletionMessage, or rejects + * if an error occurred or the stream ended prematurely without producing a ChatCompletionMessage. + */ + async finalContent(): Promise { + await this.done(); + return this.#getFinalContent(); + } + + #getFinalMessage(): ChatCompletionMessage { + let i = this.messages.length; + while (i-- > 0) { + const message = this.messages[i]; + if (isAssistantMessage(message)) { + const { function_call, ...rest } = message; + + // TODO: support audio here + const ret: Omit = { + ...rest, + content: (message as ChatCompletionMessage).content ?? null, + refusal: (message as ChatCompletionMessage).refusal ?? null, + }; + if (function_call) { + ret.function_call = function_call; + } + return ret; + } + } + throw new OpenAIError('stream ended without producing a ChatCompletionMessage with role=assistant'); + } + + /** + * @returns a promise that resolves with the the final assistant ChatCompletionMessage response, + * or rejects if an error occurred or the stream ended prematurely without producing a ChatCompletionMessage. + */ + async finalMessage(): Promise { + await this.done(); + return this.#getFinalMessage(); + } + + #getFinalFunctionCall(): ChatCompletionMessage.FunctionCall | undefined { + for (let i = this.messages.length - 1; i >= 0; i--) { + const message = this.messages[i]; + if (isAssistantMessage(message) && message?.function_call) { + return message.function_call; + } + if (isAssistantMessage(message) && message?.tool_calls?.length) { + return message.tool_calls.at(-1)?.function; + } + } + + return; + } + + /** + * @returns a promise that resolves with the content of the final FunctionCall, or rejects + * if an error occurred or the stream ended prematurely without producing a ChatCompletionMessage. + */ + async finalFunctionCall(): Promise { + await this.done(); + return this.#getFinalFunctionCall(); + } + + #getFinalFunctionCallResult(): string | undefined { + for (let i = this.messages.length - 1; i >= 0; i--) { + const message = this.messages[i]; + if (isFunctionMessage(message) && message.content != null) { + return message.content; + } + if ( + isToolMessage(message) && + message.content != null && + typeof message.content === 'string' && + this.messages.some( + (x) => + x.role === 'assistant' && + x.tool_calls?.some((y) => y.type === 'function' && y.id === message.tool_call_id), + ) + ) { + return message.content; + } + } + + return; + } + + async finalFunctionCallResult(): Promise { + await this.done(); + return this.#getFinalFunctionCallResult(); + } + + #calculateTotalUsage(): CompletionUsage { + const total: CompletionUsage = { + completion_tokens: 0, + prompt_tokens: 0, + total_tokens: 0, + }; + for (const { usage } of this._chatCompletions) { + if (usage) { + total.completion_tokens += usage.completion_tokens; + total.prompt_tokens += usage.prompt_tokens; + total.total_tokens += usage.total_tokens; + } + } + return total; + } + + async totalUsage(): Promise { + await this.done(); + return this.#calculateTotalUsage(); + } + + allChatCompletions(): ChatCompletion[] { + return [...this._chatCompletions]; + } + + protected override _emitFinal( + this: AbstractChatCompletionRunner, + ) { + const completion = this._chatCompletions[this._chatCompletions.length - 1]; + if (completion) this._emit('finalChatCompletion', completion); + const finalMessage = this.#getFinalMessage(); + if (finalMessage) this._emit('finalMessage', finalMessage); + const finalContent = this.#getFinalContent(); + if (finalContent) this._emit('finalContent', finalContent); + + const finalFunctionCall = this.#getFinalFunctionCall(); + if (finalFunctionCall) this._emit('finalFunctionCall', finalFunctionCall); + + const finalFunctionCallResult = this.#getFinalFunctionCallResult(); + if (finalFunctionCallResult != null) this._emit('finalFunctionCallResult', finalFunctionCallResult); + + if (this._chatCompletions.some((c) => c.usage)) { + this._emit('totalUsage', this.#calculateTotalUsage()); + } + } + + #validateParams(params: ChatCompletionCreateParams): void { + if (params.n != null && params.n > 1) { + throw new OpenAIError( + 'ChatCompletion convenience helpers only support n=1 at this time. To use n>1, please use chat.completions.create() directly.', + ); + } + } + + protected async _createChatCompletion( + client: OpenAI, + params: ChatCompletionCreateParams, + options?: Core.RequestOptions, + ): Promise> { + const signal = options?.signal; + if (signal) { + if (signal.aborted) this.controller.abort(); + signal.addEventListener('abort', () => this.controller.abort()); + } + this.#validateParams(params); + + const chatCompletion = await client.chat.completions.create( + { ...params, stream: false }, + { ...options, signal: this.controller.signal }, + ); + this._connected(); + return this._addChatCompletion(parseChatCompletion(chatCompletion, params)); + } + + protected async _runChatCompletion( + client: OpenAI, + params: ChatCompletionCreateParams, + options?: Core.RequestOptions, + ): Promise { + for (const message of params.messages) { + this._addMessage(message, false); + } + return await this._createChatCompletion(client, params, options); + } + + protected async _runFunctions( + client: OpenAI, + params: + | ChatCompletionFunctionRunnerParams + | ChatCompletionStreamingFunctionRunnerParams, + options?: RunnerOptions, + ) { + const role = 'function' as const; + const { function_call = 'auto', stream, ...restParams } = params; + const singleFunctionToCall = typeof function_call !== 'string' && function_call?.name; + const { maxChatCompletions = DEFAULT_MAX_CHAT_COMPLETIONS } = options || {}; + + const functionsByName: Record> = {}; + for (const f of params.functions) { + functionsByName[f.name || f.function.name] = f; + } + + const functions: ChatCompletionCreateParams.Function[] = params.functions.map( + (f): ChatCompletionCreateParams.Function => ({ + name: f.name || f.function.name, + parameters: f.parameters as Record, + description: f.description, + }), + ); + + for (const message of params.messages) { + this._addMessage(message, false); + } + + for (let i = 0; i < maxChatCompletions; ++i) { + const chatCompletion: ChatCompletion = await this._createChatCompletion( + client, + { + ...restParams, + function_call, + functions, + messages: [...this.messages], + }, + options, + ); + const message = chatCompletion.choices[0]?.message; + if (!message) { + throw new OpenAIError(`missing message in ChatCompletion response`); + } + if (!message.function_call) return; + const { name, arguments: args } = message.function_call; + const fn = functionsByName[name]; + if (!fn) { + const content = `Invalid function_call: ${JSON.stringify(name)}. Available options are: ${functions + .map((f) => JSON.stringify(f.name)) + .join(', ')}. Please try again`; + + this._addMessage({ role, name, content }); + continue; + } else if (singleFunctionToCall && singleFunctionToCall !== name) { + const content = `Invalid function_call: ${JSON.stringify(name)}. ${JSON.stringify( + singleFunctionToCall, + )} requested. Please try again`; + + this._addMessage({ role, name, content }); + continue; + } + + let parsed; + try { + parsed = isRunnableFunctionWithParse(fn) ? await fn.parse(args) : args; + } catch (error) { + this._addMessage({ + role, + name, + content: error instanceof Error ? error.message : String(error), + }); + continue; + } + + // @ts-expect-error it can't rule out `never` type. + const rawContent = await fn.function(parsed, this); + const content = this.#stringifyFunctionCallResult(rawContent); + + this._addMessage({ role, name, content }); + + if (singleFunctionToCall) return; + } + } + + protected async _runTools( + client: OpenAI, + params: + | ChatCompletionToolRunnerParams + | ChatCompletionStreamingToolRunnerParams, + options?: RunnerOptions, + ) { + const role = 'tool' as const; + const { tool_choice = 'auto', stream, ...restParams } = params; + const singleFunctionToCall = typeof tool_choice !== 'string' && tool_choice?.function?.name; + const { maxChatCompletions = DEFAULT_MAX_CHAT_COMPLETIONS } = options || {}; + + // TODO(someday): clean this logic up + const inputTools = params.tools.map((tool): RunnableToolFunction => { + if (isAutoParsableTool(tool)) { + if (!tool.$callback) { + throw new OpenAIError('Tool given to `.runTools()` that does not have an associated function'); + } + + return { + type: 'function', + function: { + function: tool.$callback, + name: tool.function.name, + description: tool.function.description || '', + parameters: tool.function.parameters as any, + parse: tool.$parseRaw, + strict: true, + }, + }; + } + + return tool as any as RunnableToolFunction; + }); + + const functionsByName: Record> = {}; + for (const f of inputTools) { + if (f.type === 'function') { + functionsByName[f.function.name || f.function.function.name] = f.function; + } + } + + const tools: ChatCompletionTool[] = + 'tools' in params ? + inputTools.map((t) => + t.type === 'function' ? + { + type: 'function', + function: { + name: t.function.name || t.function.function.name, + parameters: t.function.parameters as Record, + description: t.function.description, + strict: t.function.strict, + }, + } + : (t as unknown as ChatCompletionTool), + ) + : (undefined as any); + + for (const message of params.messages) { + this._addMessage(message, false); + } + + for (let i = 0; i < maxChatCompletions; ++i) { + const chatCompletion: ChatCompletion = await this._createChatCompletion( + client, + { + ...restParams, + tool_choice, + tools, + messages: [...this.messages], + }, + options, + ); + const message = chatCompletion.choices[0]?.message; + if (!message) { + throw new OpenAIError(`missing message in ChatCompletion response`); + } + if (!message.tool_calls?.length) { + return; + } + + for (const tool_call of message.tool_calls) { + if (tool_call.type !== 'function') continue; + const tool_call_id = tool_call.id; + const { name, arguments: args } = tool_call.function; + const fn = functionsByName[name]; + + if (!fn) { + const content = `Invalid tool_call: ${JSON.stringify(name)}. Available options are: ${Object.keys( + functionsByName, + ) + .map((name) => JSON.stringify(name)) + .join(', ')}. Please try again`; + + this._addMessage({ role, tool_call_id, content }); + continue; + } else if (singleFunctionToCall && singleFunctionToCall !== name) { + const content = `Invalid tool_call: ${JSON.stringify(name)}. ${JSON.stringify( + singleFunctionToCall, + )} requested. Please try again`; + + this._addMessage({ role, tool_call_id, content }); + continue; + } + + let parsed; + try { + parsed = isRunnableFunctionWithParse(fn) ? await fn.parse(args) : args; + } catch (error) { + const content = error instanceof Error ? error.message : String(error); + this._addMessage({ role, tool_call_id, content }); + continue; + } + + // @ts-expect-error it can't rule out `never` type. + const rawContent = await fn.function(parsed, this); + const content = this.#stringifyFunctionCallResult(rawContent); + this._addMessage({ role, tool_call_id, content }); + + if (singleFunctionToCall) { + return; + } + } + } + + return; + } + + #stringifyFunctionCallResult(rawContent: unknown): string { + return ( + typeof rawContent === 'string' ? rawContent + : rawContent === undefined ? 'undefined' + : JSON.stringify(rawContent) + ); + } +} + +export interface AbstractChatCompletionRunnerEvents extends BaseEvents { + functionCall: (functionCall: ChatCompletionMessage.FunctionCall) => void; + message: (message: ChatCompletionMessageParam) => void; + chatCompletion: (completion: ChatCompletion) => void; + finalContent: (contentSnapshot: string) => void; + finalMessage: (message: ChatCompletionMessageParam) => void; + finalChatCompletion: (completion: ChatCompletion) => void; + finalFunctionCall: (functionCall: ChatCompletionMessage.FunctionCall) => void; + functionCallResult: (content: string) => void; + finalFunctionCallResult: (content: string) => void; + totalUsage: (usage: CompletionUsage) => void; +} diff --git a/src/lib/AssistantStream.ts b/src/lib/AssistantStream.ts new file mode 100644 index 000000000..9b6cc20c5 --- /dev/null +++ b/src/lib/AssistantStream.ts @@ -0,0 +1,779 @@ +import { + TextContentBlock, + ImageFileContentBlock, + Message, + MessageContentDelta, + Text, + ImageFile, + TextDelta, + MessageDelta, + MessageContent, +} from '../resources/beta/threads/messages'; +import * as Core from '../core'; +import { RequestOptions } from '../core'; +import { + Run, + RunCreateParamsBase, + RunCreateParamsStreaming, + Runs, + RunSubmitToolOutputsParamsBase, + RunSubmitToolOutputsParamsStreaming, +} from '../resources/beta/threads/runs/runs'; +import { type ReadableStream } from '../_shims/index'; +import { Stream } from '../streaming'; +import { APIUserAbortError, OpenAIError } from '../error'; +import { + AssistantStreamEvent, + MessageStreamEvent, + RunStepStreamEvent, + RunStreamEvent, +} from '../resources/beta/assistants'; +import { RunStep, RunStepDelta, ToolCall, ToolCallDelta } from '../resources/beta/threads/runs/steps'; +import { ThreadCreateAndRunParamsBase, Threads } from '../resources/beta/threads/threads'; +import { BaseEvents, EventStream } from './EventStream'; + +export interface AssistantStreamEvents extends BaseEvents { + run: (run: Run) => void; + + //New event structure + messageCreated: (message: Message) => void; + messageDelta: (message: MessageDelta, snapshot: Message) => void; + messageDone: (message: Message) => void; + + runStepCreated: (runStep: RunStep) => void; + runStepDelta: (delta: RunStepDelta, snapshot: Runs.RunStep) => void; + runStepDone: (runStep: Runs.RunStep, snapshot: Runs.RunStep) => void; + + toolCallCreated: (toolCall: ToolCall) => void; + toolCallDelta: (delta: ToolCallDelta, snapshot: ToolCall) => void; + toolCallDone: (toolCall: ToolCall) => void; + + textCreated: (content: Text) => void; + textDelta: (delta: TextDelta, snapshot: Text) => void; + textDone: (content: Text, snapshot: Message) => void; + + //No created or delta as this is not streamed + imageFileDone: (content: ImageFile, snapshot: Message) => void; + + event: (event: AssistantStreamEvent) => void; +} + +export type ThreadCreateAndRunParamsBaseStream = Omit & { + stream?: true; +}; + +export type RunCreateParamsBaseStream = Omit & { + stream?: true; +}; + +export type RunSubmitToolOutputsParamsStream = Omit & { + stream?: true; +}; + +export class AssistantStream + extends EventStream + implements AsyncIterable +{ + //Track all events in a single list for reference + #events: AssistantStreamEvent[] = []; + + //Used to accumulate deltas + //We are accumulating many types so the value here is not strict + #runStepSnapshots: { [id: string]: Runs.RunStep } = {}; + #messageSnapshots: { [id: string]: Message } = {}; + #messageSnapshot: Message | undefined; + #finalRun: Run | undefined; + #currentContentIndex: number | undefined; + #currentContent: MessageContent | undefined; + #currentToolCallIndex: number | undefined; + #currentToolCall: ToolCall | undefined; + + //For current snapshot methods + #currentEvent: AssistantStreamEvent | undefined; + #currentRunSnapshot: Run | undefined; + #currentRunStepSnapshot: Runs.RunStep | undefined; + + [Symbol.asyncIterator](): AsyncIterator { + const pushQueue: AssistantStreamEvent[] = []; + const readQueue: { + resolve: (chunk: AssistantStreamEvent | undefined) => void; + reject: (err: unknown) => void; + }[] = []; + let done = false; + + //Catch all for passing along all events + this.on('event', (event) => { + const reader = readQueue.shift(); + if (reader) { + reader.resolve(event); + } else { + pushQueue.push(event); + } + }); + + this.on('end', () => { + done = true; + for (const reader of readQueue) { + reader.resolve(undefined); + } + readQueue.length = 0; + }); + + this.on('abort', (err) => { + done = true; + for (const reader of readQueue) { + reader.reject(err); + } + readQueue.length = 0; + }); + + this.on('error', (err) => { + done = true; + for (const reader of readQueue) { + reader.reject(err); + } + readQueue.length = 0; + }); + + return { + next: async (): Promise> => { + if (!pushQueue.length) { + if (done) { + return { value: undefined, done: true }; + } + return new Promise((resolve, reject) => + readQueue.push({ resolve, reject }), + ).then((chunk) => (chunk ? { value: chunk, done: false } : { value: undefined, done: true })); + } + const chunk = pushQueue.shift()!; + return { value: chunk, done: false }; + }, + return: async () => { + this.abort(); + return { value: undefined, done: true }; + }, + }; + } + + static fromReadableStream(stream: ReadableStream): AssistantStream { + const runner = new AssistantStream(); + runner._run(() => runner._fromReadableStream(stream)); + return runner; + } + + protected async _fromReadableStream( + readableStream: ReadableStream, + options?: Core.RequestOptions, + ): Promise { + const signal = options?.signal; + if (signal) { + if (signal.aborted) this.controller.abort(); + signal.addEventListener('abort', () => this.controller.abort()); + } + this._connected(); + const stream = Stream.fromReadableStream(readableStream, this.controller); + for await (const event of stream) { + this.#addEvent(event); + } + if (stream.controller.signal?.aborted) { + throw new APIUserAbortError(); + } + return this._addRun(this.#endRequest()); + } + + toReadableStream(): ReadableStream { + const stream = new Stream(this[Symbol.asyncIterator].bind(this), this.controller); + return stream.toReadableStream(); + } + + static createToolAssistantStream( + threadId: string, + runId: string, + runs: Runs, + params: RunSubmitToolOutputsParamsStream, + options: RequestOptions | undefined, + ): AssistantStream { + const runner = new AssistantStream(); + runner._run(() => + runner._runToolAssistantStream(threadId, runId, runs, params, { + ...options, + headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' }, + }), + ); + return runner; + } + + protected async _createToolAssistantStream( + run: Runs, + threadId: string, + runId: string, + params: RunSubmitToolOutputsParamsStream, + options?: Core.RequestOptions, + ): Promise { + const signal = options?.signal; + if (signal) { + if (signal.aborted) this.controller.abort(); + signal.addEventListener('abort', () => this.controller.abort()); + } + + const body: RunSubmitToolOutputsParamsStreaming = { ...params, stream: true }; + const stream = await run.submitToolOutputs(threadId, runId, body, { + ...options, + signal: this.controller.signal, + }); + + this._connected(); + + for await (const event of stream) { + this.#addEvent(event); + } + if (stream.controller.signal?.aborted) { + throw new APIUserAbortError(); + } + + return this._addRun(this.#endRequest()); + } + + static createThreadAssistantStream( + params: ThreadCreateAndRunParamsBaseStream, + thread: Threads, + options?: RequestOptions, + ): AssistantStream { + const runner = new AssistantStream(); + runner._run(() => + runner._threadAssistantStream(params, thread, { + ...options, + headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' }, + }), + ); + return runner; + } + + static createAssistantStream( + threadId: string, + runs: Runs, + params: RunCreateParamsBaseStream, + options?: RequestOptions, + ): AssistantStream { + const runner = new AssistantStream(); + runner._run(() => + runner._runAssistantStream(threadId, runs, params, { + ...options, + headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' }, + }), + ); + return runner; + } + + currentEvent(): AssistantStreamEvent | undefined { + return this.#currentEvent; + } + + currentRun(): Run | undefined { + return this.#currentRunSnapshot; + } + + currentMessageSnapshot(): Message | undefined { + return this.#messageSnapshot; + } + + currentRunStepSnapshot(): Runs.RunStep | undefined { + return this.#currentRunStepSnapshot; + } + + async finalRunSteps(): Promise { + await this.done(); + + return Object.values(this.#runStepSnapshots); + } + + async finalMessages(): Promise { + await this.done(); + + return Object.values(this.#messageSnapshots); + } + + async finalRun(): Promise { + await this.done(); + if (!this.#finalRun) throw Error('Final run was not received.'); + + return this.#finalRun; + } + + protected async _createThreadAssistantStream( + thread: Threads, + params: ThreadCreateAndRunParamsBase, + options?: Core.RequestOptions, + ): Promise { + const signal = options?.signal; + if (signal) { + if (signal.aborted) this.controller.abort(); + signal.addEventListener('abort', () => this.controller.abort()); + } + + const body: RunCreateParamsStreaming = { ...params, stream: true }; + const stream = await thread.createAndRun(body, { ...options, signal: this.controller.signal }); + + this._connected(); + + for await (const event of stream) { + this.#addEvent(event); + } + if (stream.controller.signal?.aborted) { + throw new APIUserAbortError(); + } + + return this._addRun(this.#endRequest()); + } + + protected async _createAssistantStream( + run: Runs, + threadId: string, + params: RunCreateParamsBase, + options?: Core.RequestOptions, + ): Promise { + const signal = options?.signal; + if (signal) { + if (signal.aborted) this.controller.abort(); + signal.addEventListener('abort', () => this.controller.abort()); + } + + const body: RunCreateParamsStreaming = { ...params, stream: true }; + const stream = await run.create(threadId, body, { ...options, signal: this.controller.signal }); + + this._connected(); + + for await (const event of stream) { + this.#addEvent(event); + } + if (stream.controller.signal?.aborted) { + throw new APIUserAbortError(); + } + + return this._addRun(this.#endRequest()); + } + + #addEvent(event: AssistantStreamEvent) { + if (this.ended) return; + + this.#currentEvent = event; + + this.#handleEvent(event); + + switch (event.event) { + case 'thread.created': + //No action on this event. + break; + + case 'thread.run.created': + case 'thread.run.queued': + case 'thread.run.in_progress': + case 'thread.run.requires_action': + case 'thread.run.completed': + case 'thread.run.incomplete': + case 'thread.run.failed': + case 'thread.run.cancelling': + case 'thread.run.cancelled': + case 'thread.run.expired': + this.#handleRun(event); + break; + + case 'thread.run.step.created': + case 'thread.run.step.in_progress': + case 'thread.run.step.delta': + case 'thread.run.step.completed': + case 'thread.run.step.failed': + case 'thread.run.step.cancelled': + case 'thread.run.step.expired': + this.#handleRunStep(event); + break; + + case 'thread.message.created': + case 'thread.message.in_progress': + case 'thread.message.delta': + case 'thread.message.completed': + case 'thread.message.incomplete': + this.#handleMessage(event); + break; + + case 'error': + //This is included for completeness, but errors are processed in the SSE event processing so this should not occur + throw new Error( + 'Encountered an error event in event processing - errors should be processed earlier', + ); + default: + assertNever(event); + } + } + + #endRequest(): Run { + if (this.ended) { + throw new OpenAIError(`stream has ended, this shouldn't happen`); + } + + if (!this.#finalRun) throw Error('Final run has not been received'); + + return this.#finalRun; + } + + #handleMessage(this: AssistantStream, event: MessageStreamEvent) { + const [accumulatedMessage, newContent] = this.#accumulateMessage(event, this.#messageSnapshot); + this.#messageSnapshot = accumulatedMessage; + this.#messageSnapshots[accumulatedMessage.id] = accumulatedMessage; + + for (const content of newContent) { + const snapshotContent = accumulatedMessage.content[content.index]; + if (snapshotContent?.type == 'text') { + this._emit('textCreated', snapshotContent.text); + } + } + + switch (event.event) { + case 'thread.message.created': + this._emit('messageCreated', event.data); + break; + + case 'thread.message.in_progress': + break; + + case 'thread.message.delta': + this._emit('messageDelta', event.data.delta, accumulatedMessage); + + if (event.data.delta.content) { + for (const content of event.data.delta.content) { + //If it is text delta, emit a text delta event + if (content.type == 'text' && content.text) { + let textDelta = content.text; + let snapshot = accumulatedMessage.content[content.index]; + if (snapshot && snapshot.type == 'text') { + this._emit('textDelta', textDelta, snapshot.text); + } else { + throw Error('The snapshot associated with this text delta is not text or missing'); + } + } + + if (content.index != this.#currentContentIndex) { + //See if we have in progress content + if (this.#currentContent) { + switch (this.#currentContent.type) { + case 'text': + this._emit('textDone', this.#currentContent.text, this.#messageSnapshot); + break; + case 'image_file': + this._emit('imageFileDone', this.#currentContent.image_file, this.#messageSnapshot); + break; + } + } + + this.#currentContentIndex = content.index; + } + + this.#currentContent = accumulatedMessage.content[content.index]; + } + } + + break; + + case 'thread.message.completed': + case 'thread.message.incomplete': + //We emit the latest content we were working on on completion (including incomplete) + if (this.#currentContentIndex !== undefined) { + const currentContent = event.data.content[this.#currentContentIndex]; + if (currentContent) { + switch (currentContent.type) { + case 'image_file': + this._emit('imageFileDone', currentContent.image_file, this.#messageSnapshot); + break; + case 'text': + this._emit('textDone', currentContent.text, this.#messageSnapshot); + break; + } + } + } + + if (this.#messageSnapshot) { + this._emit('messageDone', event.data); + } + + this.#messageSnapshot = undefined; + } + } + + #handleRunStep(this: AssistantStream, event: RunStepStreamEvent) { + const accumulatedRunStep = this.#accumulateRunStep(event); + this.#currentRunStepSnapshot = accumulatedRunStep; + + switch (event.event) { + case 'thread.run.step.created': + this._emit('runStepCreated', event.data); + break; + case 'thread.run.step.delta': + const delta = event.data.delta; + if ( + delta.step_details && + delta.step_details.type == 'tool_calls' && + delta.step_details.tool_calls && + accumulatedRunStep.step_details.type == 'tool_calls' + ) { + for (const toolCall of delta.step_details.tool_calls) { + if (toolCall.index == this.#currentToolCallIndex) { + this._emit( + 'toolCallDelta', + toolCall, + accumulatedRunStep.step_details.tool_calls[toolCall.index] as ToolCall, + ); + } else { + if (this.#currentToolCall) { + this._emit('toolCallDone', this.#currentToolCall); + } + + this.#currentToolCallIndex = toolCall.index; + this.#currentToolCall = accumulatedRunStep.step_details.tool_calls[toolCall.index]; + if (this.#currentToolCall) this._emit('toolCallCreated', this.#currentToolCall); + } + } + } + + this._emit('runStepDelta', event.data.delta, accumulatedRunStep); + break; + case 'thread.run.step.completed': + case 'thread.run.step.failed': + case 'thread.run.step.cancelled': + case 'thread.run.step.expired': + this.#currentRunStepSnapshot = undefined; + const details = event.data.step_details; + if (details.type == 'tool_calls') { + if (this.#currentToolCall) { + this._emit('toolCallDone', this.#currentToolCall as ToolCall); + this.#currentToolCall = undefined; + } + } + this._emit('runStepDone', event.data, accumulatedRunStep); + break; + case 'thread.run.step.in_progress': + break; + } + } + + #handleEvent(this: AssistantStream, event: AssistantStreamEvent) { + this.#events.push(event); + this._emit('event', event); + } + + #accumulateRunStep(event: RunStepStreamEvent): Runs.RunStep { + switch (event.event) { + case 'thread.run.step.created': + this.#runStepSnapshots[event.data.id] = event.data; + return event.data; + + case 'thread.run.step.delta': + let snapshot = this.#runStepSnapshots[event.data.id] as Runs.RunStep; + if (!snapshot) { + throw Error('Received a RunStepDelta before creation of a snapshot'); + } + + let data = event.data; + + if (data.delta) { + const accumulated = AssistantStream.accumulateDelta(snapshot, data.delta) as Runs.RunStep; + this.#runStepSnapshots[event.data.id] = accumulated; + } + + return this.#runStepSnapshots[event.data.id] as Runs.RunStep; + + case 'thread.run.step.completed': + case 'thread.run.step.failed': + case 'thread.run.step.cancelled': + case 'thread.run.step.expired': + case 'thread.run.step.in_progress': + this.#runStepSnapshots[event.data.id] = event.data; + break; + } + + if (this.#runStepSnapshots[event.data.id]) return this.#runStepSnapshots[event.data.id] as Runs.RunStep; + throw new Error('No snapshot available'); + } + + #accumulateMessage( + event: AssistantStreamEvent, + snapshot: Message | undefined, + ): [Message, MessageContentDelta[]] { + let newContent: MessageContentDelta[] = []; + + switch (event.event) { + case 'thread.message.created': + //On creation the snapshot is just the initial message + return [event.data, newContent]; + + case 'thread.message.delta': + if (!snapshot) { + throw Error( + 'Received a delta with no existing snapshot (there should be one from message creation)', + ); + } + + let data = event.data; + + //If this delta does not have content, nothing to process + if (data.delta.content) { + for (const contentElement of data.delta.content) { + if (contentElement.index in snapshot.content) { + let currentContent = snapshot.content[contentElement.index]; + snapshot.content[contentElement.index] = this.#accumulateContent( + contentElement, + currentContent, + ); + } else { + snapshot.content[contentElement.index] = contentElement as MessageContent; + // This is a new element + newContent.push(contentElement); + } + } + } + + return [snapshot, newContent]; + + case 'thread.message.in_progress': + case 'thread.message.completed': + case 'thread.message.incomplete': + //No changes on other thread events + if (snapshot) { + return [snapshot, newContent]; + } else { + throw Error('Received thread message event with no existing snapshot'); + } + } + throw Error('Tried to accumulate a non-message event'); + } + + #accumulateContent( + contentElement: MessageContentDelta, + currentContent: MessageContent | undefined, + ): TextContentBlock | ImageFileContentBlock { + return AssistantStream.accumulateDelta(currentContent as unknown as Record, contentElement) as + | TextContentBlock + | ImageFileContentBlock; + } + + static accumulateDelta(acc: Record, delta: Record): Record { + for (const [key, deltaValue] of Object.entries(delta)) { + if (!acc.hasOwnProperty(key)) { + acc[key] = deltaValue; + continue; + } + + let accValue = acc[key]; + if (accValue === null || accValue === undefined) { + acc[key] = deltaValue; + continue; + } + + // We don't accumulate these special properties + if (key === 'index' || key === 'type') { + acc[key] = deltaValue; + continue; + } + + // Type-specific accumulation logic + if (typeof accValue === 'string' && typeof deltaValue === 'string') { + accValue += deltaValue; + } else if (typeof accValue === 'number' && typeof deltaValue === 'number') { + accValue += deltaValue; + } else if (Core.isObj(accValue) && Core.isObj(deltaValue)) { + accValue = this.accumulateDelta(accValue as Record, deltaValue as Record); + } else if (Array.isArray(accValue) && Array.isArray(deltaValue)) { + if (accValue.every((x) => typeof x === 'string' || typeof x === 'number')) { + accValue.push(...deltaValue); // Use spread syntax for efficient addition + continue; + } + + for (const deltaEntry of deltaValue) { + if (!Core.isObj(deltaEntry)) { + throw new Error(`Expected array delta entry to be an object but got: ${deltaEntry}`); + } + + const index = deltaEntry['index']; + if (index == null) { + console.error(deltaEntry); + throw new Error('Expected array delta entry to have an `index` property'); + } + + if (typeof index !== 'number') { + throw new Error(`Expected array delta entry \`index\` property to be a number but got ${index}`); + } + + const accEntry = accValue[index]; + if (accEntry == null) { + accValue.push(deltaEntry); + } else { + accValue[index] = this.accumulateDelta(accEntry, deltaEntry); + } + } + continue; + } else { + throw Error(`Unhandled record type: ${key}, deltaValue: ${deltaValue}, accValue: ${accValue}`); + } + acc[key] = accValue; + } + + return acc; + } + + #handleRun(this: AssistantStream, event: RunStreamEvent) { + this.#currentRunSnapshot = event.data; + switch (event.event) { + case 'thread.run.created': + break; + case 'thread.run.queued': + break; + case 'thread.run.in_progress': + break; + case 'thread.run.requires_action': + case 'thread.run.cancelled': + case 'thread.run.failed': + case 'thread.run.completed': + case 'thread.run.expired': + this.#finalRun = event.data; + if (this.#currentToolCall) { + this._emit('toolCallDone', this.#currentToolCall); + this.#currentToolCall = undefined; + } + break; + case 'thread.run.cancelling': + break; + } + } + + protected _addRun(run: Run): Run { + return run; + } + + protected async _threadAssistantStream( + params: ThreadCreateAndRunParamsBase, + thread: Threads, + options?: Core.RequestOptions, + ): Promise { + return await this._createThreadAssistantStream(thread, params, options); + } + + protected async _runAssistantStream( + threadId: string, + runs: Runs, + params: RunCreateParamsBase, + options?: Core.RequestOptions, + ): Promise { + return await this._createAssistantStream(runs, threadId, params, options); + } + + protected async _runToolAssistantStream( + threadId: string, + runId: string, + runs: Runs, + params: RunSubmitToolOutputsParamsStream, + options?: Core.RequestOptions, + ): Promise { + return await this._createToolAssistantStream(runs, threadId, runId, params, options); + } +} + +function assertNever(_x: never) {} diff --git a/src/lib/ChatCompletionRunner.ts b/src/lib/ChatCompletionRunner.ts new file mode 100644 index 000000000..9e68e6671 --- /dev/null +++ b/src/lib/ChatCompletionRunner.ts @@ -0,0 +1,76 @@ +import { + type ChatCompletionMessageParam, + type ChatCompletionCreateParamsNonStreaming, +} from '../resources/chat/completions'; +import { type RunnableFunctions, type BaseFunctionsArgs, RunnableTools } from './RunnableFunction'; +import { + AbstractChatCompletionRunner, + AbstractChatCompletionRunnerEvents, + RunnerOptions, +} from './AbstractChatCompletionRunner'; +import { isAssistantMessage } from './chatCompletionUtils'; +import OpenAI from '../index'; +import { AutoParseableTool } from '../lib/parser'; + +export interface ChatCompletionRunnerEvents extends AbstractChatCompletionRunnerEvents { + content: (content: string) => void; +} + +export type ChatCompletionFunctionRunnerParams = Omit< + ChatCompletionCreateParamsNonStreaming, + 'functions' +> & { + functions: RunnableFunctions; +}; + +export type ChatCompletionToolRunnerParams = Omit< + ChatCompletionCreateParamsNonStreaming, + 'tools' +> & { + tools: RunnableTools | AutoParseableTool[]; +}; + +export class ChatCompletionRunner extends AbstractChatCompletionRunner< + ChatCompletionRunnerEvents, + ParsedT +> { + /** @deprecated - please use `runTools` instead. */ + static runFunctions( + client: OpenAI, + params: ChatCompletionFunctionRunnerParams, + options?: RunnerOptions, + ): ChatCompletionRunner { + const runner = new ChatCompletionRunner(); + const opts = { + ...options, + headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'runFunctions' }, + }; + runner._run(() => runner._runFunctions(client, params, opts)); + return runner; + } + + static runTools( + client: OpenAI, + params: ChatCompletionToolRunnerParams, + options?: RunnerOptions, + ): ChatCompletionRunner { + const runner = new ChatCompletionRunner(); + const opts = { + ...options, + headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'runTools' }, + }; + runner._run(() => runner._runTools(client, params, opts)); + return runner; + } + + override _addMessage( + this: ChatCompletionRunner, + message: ChatCompletionMessageParam, + emit: boolean = true, + ) { + super._addMessage(message, emit); + if (isAssistantMessage(message) && message.content) { + this._emit('content', message.content as string); + } + } +} diff --git a/src/lib/ChatCompletionStream.ts b/src/lib/ChatCompletionStream.ts new file mode 100644 index 000000000..35648c27b --- /dev/null +++ b/src/lib/ChatCompletionStream.ts @@ -0,0 +1,871 @@ +import * as Core from '../core'; +import { + OpenAIError, + APIUserAbortError, + LengthFinishReasonError, + ContentFilterFinishReasonError, +} from '../error'; +import { + ChatCompletionTokenLogprob, + type ChatCompletion, + type ChatCompletionChunk, + type ChatCompletionCreateParams, + type ChatCompletionCreateParamsStreaming, + type ChatCompletionCreateParamsBase, + type ChatCompletionRole, +} from '../resources/chat/completions/completions'; +import { + AbstractChatCompletionRunner, + type AbstractChatCompletionRunnerEvents, +} from './AbstractChatCompletionRunner'; +import { type ReadableStream } from '../_shims/index'; +import { Stream } from '../streaming'; +import OpenAI from '../index'; +import { ParsedChatCompletion } from '../resources/beta/chat/completions'; +import { + AutoParseableResponseFormat, + hasAutoParseableInput, + isAutoParsableResponseFormat, + isAutoParsableTool, + maybeParseChatCompletion, + shouldParseToolCall, +} from '../lib/parser'; +import { partialParse } from '../_vendor/partial-json-parser/parser'; + +export interface ContentDeltaEvent { + delta: string; + snapshot: string; + parsed: unknown | null; +} + +export interface ContentDoneEvent { + content: string; + parsed: ParsedT | null; +} + +export interface RefusalDeltaEvent { + delta: string; + snapshot: string; +} + +export interface RefusalDoneEvent { + refusal: string; +} + +export interface FunctionToolCallArgumentsDeltaEvent { + name: string; + + index: number; + + arguments: string; + + parsed_arguments: unknown; + + arguments_delta: string; +} + +export interface FunctionToolCallArgumentsDoneEvent { + name: string; + + index: number; + + arguments: string; + + parsed_arguments: unknown; +} + +export interface LogProbsContentDeltaEvent { + content: Array; + snapshot: Array; +} + +export interface LogProbsContentDoneEvent { + content: Array; +} + +export interface LogProbsRefusalDeltaEvent { + refusal: Array; + snapshot: Array; +} + +export interface LogProbsRefusalDoneEvent { + refusal: Array; +} + +export interface ChatCompletionStreamEvents extends AbstractChatCompletionRunnerEvents { + content: (contentDelta: string, contentSnapshot: string) => void; + chunk: (chunk: ChatCompletionChunk, snapshot: ChatCompletionSnapshot) => void; + + 'content.delta': (props: ContentDeltaEvent) => void; + 'content.done': (props: ContentDoneEvent) => void; + + 'refusal.delta': (props: RefusalDeltaEvent) => void; + 'refusal.done': (props: RefusalDoneEvent) => void; + + 'tool_calls.function.arguments.delta': (props: FunctionToolCallArgumentsDeltaEvent) => void; + 'tool_calls.function.arguments.done': (props: FunctionToolCallArgumentsDoneEvent) => void; + + 'logprobs.content.delta': (props: LogProbsContentDeltaEvent) => void; + 'logprobs.content.done': (props: LogProbsContentDoneEvent) => void; + + 'logprobs.refusal.delta': (props: LogProbsRefusalDeltaEvent) => void; + 'logprobs.refusal.done': (props: LogProbsRefusalDoneEvent) => void; +} + +export type ChatCompletionStreamParams = Omit & { + stream?: true; +}; + +interface ChoiceEventState { + content_done: boolean; + refusal_done: boolean; + logprobs_content_done: boolean; + logprobs_refusal_done: boolean; + current_tool_call_index: number | null; + done_tool_calls: Set; +} + +export class ChatCompletionStream + extends AbstractChatCompletionRunner, ParsedT> + implements AsyncIterable +{ + #params: ChatCompletionCreateParams | null; + #choiceEventStates: ChoiceEventState[]; + #currentChatCompletionSnapshot: ChatCompletionSnapshot | undefined; + + constructor(params: ChatCompletionCreateParams | null) { + super(); + this.#params = params; + this.#choiceEventStates = []; + } + + get currentChatCompletionSnapshot(): ChatCompletionSnapshot | undefined { + return this.#currentChatCompletionSnapshot; + } + + /** + * Intended for use on the frontend, consuming a stream produced with + * `.toReadableStream()` on the backend. + * + * Note that messages sent to the model do not appear in `.on('message')` + * in this context. + */ + static fromReadableStream(stream: ReadableStream): ChatCompletionStream { + const runner = new ChatCompletionStream(null); + runner._run(() => runner._fromReadableStream(stream)); + return runner; + } + + static createChatCompletion( + client: OpenAI, + params: ChatCompletionStreamParams, + options?: Core.RequestOptions, + ): ChatCompletionStream { + const runner = new ChatCompletionStream(params as ChatCompletionCreateParamsStreaming); + runner._run(() => + runner._runChatCompletion( + client, + { ...params, stream: true }, + { ...options, headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' } }, + ), + ); + return runner; + } + + #beginRequest() { + if (this.ended) return; + this.#currentChatCompletionSnapshot = undefined; + } + + #getChoiceEventState(choice: ChatCompletionSnapshot.Choice): ChoiceEventState { + let state = this.#choiceEventStates[choice.index]; + if (state) { + return state; + } + + state = { + content_done: false, + refusal_done: false, + logprobs_content_done: false, + logprobs_refusal_done: false, + done_tool_calls: new Set(), + current_tool_call_index: null, + }; + this.#choiceEventStates[choice.index] = state; + return state; + } + + #addChunk(this: ChatCompletionStream, chunk: ChatCompletionChunk) { + if (this.ended) return; + + const completion = this.#accumulateChatCompletion(chunk); + this._emit('chunk', chunk, completion); + + for (const choice of chunk.choices) { + const choiceSnapshot = completion.choices[choice.index]!; + + if ( + choice.delta.content != null && + choiceSnapshot.message?.role === 'assistant' && + choiceSnapshot.message?.content + ) { + this._emit('content', choice.delta.content, choiceSnapshot.message.content); + this._emit('content.delta', { + delta: choice.delta.content, + snapshot: choiceSnapshot.message.content, + parsed: choiceSnapshot.message.parsed, + }); + } + + if ( + choice.delta.refusal != null && + choiceSnapshot.message?.role === 'assistant' && + choiceSnapshot.message?.refusal + ) { + this._emit('refusal.delta', { + delta: choice.delta.refusal, + snapshot: choiceSnapshot.message.refusal, + }); + } + + if (choice.logprobs?.content != null && choiceSnapshot.message?.role === 'assistant') { + this._emit('logprobs.content.delta', { + content: choice.logprobs?.content, + snapshot: choiceSnapshot.logprobs?.content ?? [], + }); + } + + if (choice.logprobs?.refusal != null && choiceSnapshot.message?.role === 'assistant') { + this._emit('logprobs.refusal.delta', { + refusal: choice.logprobs?.refusal, + snapshot: choiceSnapshot.logprobs?.refusal ?? [], + }); + } + + const state = this.#getChoiceEventState(choiceSnapshot); + + if (choiceSnapshot.finish_reason) { + this.#emitContentDoneEvents(choiceSnapshot); + + if (state.current_tool_call_index != null) { + this.#emitToolCallDoneEvent(choiceSnapshot, state.current_tool_call_index); + } + } + + for (const toolCall of choice.delta.tool_calls ?? []) { + if (state.current_tool_call_index !== toolCall.index) { + this.#emitContentDoneEvents(choiceSnapshot); + + // new tool call started, the previous one is done + if (state.current_tool_call_index != null) { + this.#emitToolCallDoneEvent(choiceSnapshot, state.current_tool_call_index); + } + } + + state.current_tool_call_index = toolCall.index; + } + + for (const toolCallDelta of choice.delta.tool_calls ?? []) { + const toolCallSnapshot = choiceSnapshot.message.tool_calls?.[toolCallDelta.index]; + if (!toolCallSnapshot?.type) { + continue; + } + + if (toolCallSnapshot?.type === 'function') { + this._emit('tool_calls.function.arguments.delta', { + name: toolCallSnapshot.function?.name, + index: toolCallDelta.index, + arguments: toolCallSnapshot.function.arguments, + parsed_arguments: toolCallSnapshot.function.parsed_arguments, + arguments_delta: toolCallDelta.function?.arguments ?? '', + }); + } else { + assertNever(toolCallSnapshot?.type); + } + } + } + } + + #emitToolCallDoneEvent(choiceSnapshot: ChatCompletionSnapshot.Choice, toolCallIndex: number) { + const state = this.#getChoiceEventState(choiceSnapshot); + if (state.done_tool_calls.has(toolCallIndex)) { + // we've already fired the done event + return; + } + + const toolCallSnapshot = choiceSnapshot.message.tool_calls?.[toolCallIndex]; + if (!toolCallSnapshot) { + throw new Error('no tool call snapshot'); + } + if (!toolCallSnapshot.type) { + throw new Error('tool call snapshot missing `type`'); + } + + if (toolCallSnapshot.type === 'function') { + const inputTool = this.#params?.tools?.find( + (tool) => tool.type === 'function' && tool.function.name === toolCallSnapshot.function.name, + ); + + this._emit('tool_calls.function.arguments.done', { + name: toolCallSnapshot.function.name, + index: toolCallIndex, + arguments: toolCallSnapshot.function.arguments, + parsed_arguments: + isAutoParsableTool(inputTool) ? inputTool.$parseRaw(toolCallSnapshot.function.arguments) + : inputTool?.function.strict ? JSON.parse(toolCallSnapshot.function.arguments) + : null, + }); + } else { + assertNever(toolCallSnapshot.type); + } + } + + #emitContentDoneEvents(choiceSnapshot: ChatCompletionSnapshot.Choice) { + const state = this.#getChoiceEventState(choiceSnapshot); + + if (choiceSnapshot.message.content && !state.content_done) { + state.content_done = true; + + const responseFormat = this.#getAutoParseableResponseFormat(); + + this._emit('content.done', { + content: choiceSnapshot.message.content, + parsed: responseFormat ? responseFormat.$parseRaw(choiceSnapshot.message.content) : (null as any), + }); + } + + if (choiceSnapshot.message.refusal && !state.refusal_done) { + state.refusal_done = true; + + this._emit('refusal.done', { refusal: choiceSnapshot.message.refusal }); + } + + if (choiceSnapshot.logprobs?.content && !state.logprobs_content_done) { + state.logprobs_content_done = true; + + this._emit('logprobs.content.done', { content: choiceSnapshot.logprobs.content }); + } + + if (choiceSnapshot.logprobs?.refusal && !state.logprobs_refusal_done) { + state.logprobs_refusal_done = true; + + this._emit('logprobs.refusal.done', { refusal: choiceSnapshot.logprobs.refusal }); + } + } + + #endRequest(): ParsedChatCompletion { + if (this.ended) { + throw new OpenAIError(`stream has ended, this shouldn't happen`); + } + const snapshot = this.#currentChatCompletionSnapshot; + if (!snapshot) { + throw new OpenAIError(`request ended without sending any chunks`); + } + this.#currentChatCompletionSnapshot = undefined; + this.#choiceEventStates = []; + return finalizeChatCompletion(snapshot, this.#params); + } + + protected override async _createChatCompletion( + client: OpenAI, + params: ChatCompletionCreateParams, + options?: Core.RequestOptions, + ): Promise> { + super._createChatCompletion; + const signal = options?.signal; + if (signal) { + if (signal.aborted) this.controller.abort(); + signal.addEventListener('abort', () => this.controller.abort()); + } + this.#beginRequest(); + + const stream = await client.chat.completions.create( + { ...params, stream: true }, + { ...options, signal: this.controller.signal }, + ); + this._connected(); + for await (const chunk of stream) { + this.#addChunk(chunk); + } + if (stream.controller.signal?.aborted) { + throw new APIUserAbortError(); + } + return this._addChatCompletion(this.#endRequest()); + } + + protected async _fromReadableStream( + readableStream: ReadableStream, + options?: Core.RequestOptions, + ): Promise { + const signal = options?.signal; + if (signal) { + if (signal.aborted) this.controller.abort(); + signal.addEventListener('abort', () => this.controller.abort()); + } + this.#beginRequest(); + this._connected(); + const stream = Stream.fromReadableStream(readableStream, this.controller); + let chatId; + for await (const chunk of stream) { + if (chatId && chatId !== chunk.id) { + // A new request has been made. + this._addChatCompletion(this.#endRequest()); + } + + this.#addChunk(chunk); + chatId = chunk.id; + } + if (stream.controller.signal?.aborted) { + throw new APIUserAbortError(); + } + return this._addChatCompletion(this.#endRequest()); + } + + #getAutoParseableResponseFormat(): AutoParseableResponseFormat | null { + const responseFormat = this.#params?.response_format; + if (isAutoParsableResponseFormat(responseFormat)) { + return responseFormat; + } + + return null; + } + + #accumulateChatCompletion(chunk: ChatCompletionChunk): ChatCompletionSnapshot { + let snapshot = this.#currentChatCompletionSnapshot; + const { choices, ...rest } = chunk; + if (!snapshot) { + snapshot = this.#currentChatCompletionSnapshot = { + ...rest, + choices: [], + }; + } else { + Object.assign(snapshot, rest); + } + + for (const { delta, finish_reason, index, logprobs = null, ...other } of chunk.choices) { + let choice = snapshot.choices[index]; + if (!choice) { + choice = snapshot.choices[index] = { finish_reason, index, message: {}, logprobs, ...other }; + } + + if (logprobs) { + if (!choice.logprobs) { + choice.logprobs = Object.assign({}, logprobs); + } else { + const { content, refusal, ...rest } = logprobs; + assertIsEmpty(rest); + Object.assign(choice.logprobs, rest); + + if (content) { + choice.logprobs.content ??= []; + choice.logprobs.content.push(...content); + } + + if (refusal) { + choice.logprobs.refusal ??= []; + choice.logprobs.refusal.push(...refusal); + } + } + } + + if (finish_reason) { + choice.finish_reason = finish_reason; + + if (this.#params && hasAutoParseableInput(this.#params)) { + if (finish_reason === 'length') { + throw new LengthFinishReasonError(); + } + + if (finish_reason === 'content_filter') { + throw new ContentFilterFinishReasonError(); + } + } + } + + Object.assign(choice, other); + + if (!delta) continue; // Shouldn't happen; just in case. + + const { content, refusal, function_call, role, tool_calls, ...rest } = delta; + assertIsEmpty(rest); + Object.assign(choice.message, rest); + + if (refusal) { + choice.message.refusal = (choice.message.refusal || '') + refusal; + } + + if (role) choice.message.role = role; + if (function_call) { + if (!choice.message.function_call) { + choice.message.function_call = function_call; + } else { + if (function_call.name) choice.message.function_call.name = function_call.name; + if (function_call.arguments) { + choice.message.function_call.arguments ??= ''; + choice.message.function_call.arguments += function_call.arguments; + } + } + } + if (content) { + choice.message.content = (choice.message.content || '') + content; + + if (!choice.message.refusal && this.#getAutoParseableResponseFormat()) { + choice.message.parsed = partialParse(choice.message.content); + } + } + + if (tool_calls) { + if (!choice.message.tool_calls) choice.message.tool_calls = []; + + for (const { index, id, type, function: fn, ...rest } of tool_calls) { + const tool_call = (choice.message.tool_calls[index] ??= + {} as ChatCompletionSnapshot.Choice.Message.ToolCall); + Object.assign(tool_call, rest); + if (id) tool_call.id = id; + if (type) tool_call.type = type; + if (fn) tool_call.function ??= { name: fn.name ?? '', arguments: '' }; + if (fn?.name) tool_call.function!.name = fn.name; + if (fn?.arguments) { + tool_call.function!.arguments += fn.arguments; + + if (shouldParseToolCall(this.#params, tool_call)) { + tool_call.function!.parsed_arguments = partialParse(tool_call.function!.arguments); + } + } + } + } + } + return snapshot; + } + + [Symbol.asyncIterator](this: ChatCompletionStream): AsyncIterator { + const pushQueue: ChatCompletionChunk[] = []; + const readQueue: { + resolve: (chunk: ChatCompletionChunk | undefined) => void; + reject: (err: unknown) => void; + }[] = []; + let done = false; + + this.on('chunk', (chunk) => { + const reader = readQueue.shift(); + if (reader) { + reader.resolve(chunk); + } else { + pushQueue.push(chunk); + } + }); + + this.on('end', () => { + done = true; + for (const reader of readQueue) { + reader.resolve(undefined); + } + readQueue.length = 0; + }); + + this.on('abort', (err) => { + done = true; + for (const reader of readQueue) { + reader.reject(err); + } + readQueue.length = 0; + }); + + this.on('error', (err) => { + done = true; + for (const reader of readQueue) { + reader.reject(err); + } + readQueue.length = 0; + }); + + return { + next: async (): Promise> => { + if (!pushQueue.length) { + if (done) { + return { value: undefined, done: true }; + } + return new Promise((resolve, reject) => + readQueue.push({ resolve, reject }), + ).then((chunk) => (chunk ? { value: chunk, done: false } : { value: undefined, done: true })); + } + const chunk = pushQueue.shift()!; + return { value: chunk, done: false }; + }, + return: async () => { + this.abort(); + return { value: undefined, done: true }; + }, + }; + } + + toReadableStream(): ReadableStream { + const stream = new Stream(this[Symbol.asyncIterator].bind(this), this.controller); + return stream.toReadableStream(); + } +} + +function finalizeChatCompletion( + snapshot: ChatCompletionSnapshot, + params: ChatCompletionCreateParams | null, +): ParsedChatCompletion { + const { id, choices, created, model, system_fingerprint, ...rest } = snapshot; + const completion: ChatCompletion = { + ...rest, + id, + choices: choices.map( + ({ message, finish_reason, index, logprobs, ...choiceRest }): ChatCompletion.Choice => { + if (!finish_reason) { + throw new OpenAIError(`missing finish_reason for choice ${index}`); + } + + const { content = null, function_call, tool_calls, ...messageRest } = message; + const role = message.role as 'assistant'; // this is what we expect; in theory it could be different which would make our types a slight lie but would be fine. + if (!role) { + throw new OpenAIError(`missing role for choice ${index}`); + } + + if (function_call) { + const { arguments: args, name } = function_call; + if (args == null) { + throw new OpenAIError(`missing function_call.arguments for choice ${index}`); + } + + if (!name) { + throw new OpenAIError(`missing function_call.name for choice ${index}`); + } + + return { + ...choiceRest, + message: { + content, + function_call: { arguments: args, name }, + role, + refusal: message.refusal ?? null, + }, + finish_reason, + index, + logprobs, + }; + } + + if (tool_calls) { + return { + ...choiceRest, + index, + finish_reason, + logprobs, + message: { + ...messageRest, + role, + content, + refusal: message.refusal ?? null, + tool_calls: tool_calls.map((tool_call, i) => { + const { function: fn, type, id, ...toolRest } = tool_call; + const { arguments: args, name, ...fnRest } = fn || {}; + if (id == null) { + throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].id\n${str(snapshot)}`); + } + if (type == null) { + throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].type\n${str(snapshot)}`); + } + if (name == null) { + throw new OpenAIError( + `missing choices[${index}].tool_calls[${i}].function.name\n${str(snapshot)}`, + ); + } + if (args == null) { + throw new OpenAIError( + `missing choices[${index}].tool_calls[${i}].function.arguments\n${str(snapshot)}`, + ); + } + + return { ...toolRest, id, type, function: { ...fnRest, name, arguments: args } }; + }), + }, + }; + } + return { + ...choiceRest, + message: { ...messageRest, content, role, refusal: message.refusal ?? null }, + finish_reason, + index, + logprobs, + }; + }, + ), + created, + model, + object: 'chat.completion', + ...(system_fingerprint ? { system_fingerprint } : {}), + }; + + return maybeParseChatCompletion(completion, params); +} + +function str(x: unknown) { + return JSON.stringify(x); +} + +/** + * Represents a streamed chunk of a chat completion response returned by model, + * based on the provided input. + */ +export interface ChatCompletionSnapshot { + /** + * A unique identifier for the chat completion. + */ + id: string; + + /** + * A list of chat completion choices. Can be more than one if `n` is greater + * than 1. + */ + choices: Array; + + /** + * The Unix timestamp (in seconds) of when the chat completion was created. + */ + created: number; + + /** + * The model to generate the completion. + */ + model: string; + + // Note we do not include an "object" type on the snapshot, + // because the object is not a valid "chat.completion" until finalized. + // object: 'chat.completion'; + + /** + * This fingerprint represents the backend configuration that the model runs with. + * + * Can be used in conjunction with the `seed` request parameter to understand when + * backend changes have been made that might impact determinism. + */ + system_fingerprint?: string; +} + +export namespace ChatCompletionSnapshot { + export interface Choice { + /** + * A chat completion delta generated by streamed model responses. + */ + message: Choice.Message; + + /** + * The reason the model stopped generating tokens. This will be `stop` if the model + * hit a natural stop point or a provided stop sequence, `length` if the maximum + * number of tokens specified in the request was reached, `content_filter` if + * content was omitted due to a flag from our content filters, or `function_call` + * if the model called a function. + */ + finish_reason: ChatCompletion.Choice['finish_reason'] | null; + + /** + * Log probability information for the choice. + */ + logprobs: ChatCompletion.Choice.Logprobs | null; + + /** + * The index of the choice in the list of choices. + */ + index: number; + } + + export namespace Choice { + /** + * A chat completion delta generated by streamed model responses. + */ + export interface Message { + /** + * The contents of the chunk message. + */ + content?: string | null; + + refusal?: string | null; + + parsed?: unknown | null; + + /** + * The name and arguments of a function that should be called, as generated by the + * model. + */ + function_call?: Message.FunctionCall; + + tool_calls?: Array; + + /** + * The role of the author of this message. + */ + role?: ChatCompletionRole; + } + + export namespace Message { + export interface ToolCall { + /** + * The ID of the tool call. + */ + id: string; + + function: ToolCall.Function; + + /** + * The type of the tool. + */ + type: 'function'; + } + + export namespace ToolCall { + export interface Function { + /** + * The arguments to call the function with, as generated by the model in JSON + * format. Note that the model does not always generate valid JSON, and may + * hallucinate parameters not defined by your function schema. Validate the + * arguments in your code before calling your function. + */ + arguments: string; + + parsed_arguments?: unknown; + + /** + * The name of the function to call. + */ + name: string; + } + } + + /** + * The name and arguments of a function that should be called, as generated by the + * model. + */ + export interface FunctionCall { + /** + * The arguments to call the function with, as generated by the model in JSON + * format. Note that the model does not always generate valid JSON, and may + * hallucinate parameters not defined by your function schema. Validate the + * arguments in your code before calling your function. + */ + arguments?: string; + + /** + * The name of the function to call. + */ + name?: string; + } + } + } +} + +type AssertIsEmpty = keyof T extends never ? T : never; + +/** + * Ensures the given argument is an empty object, useful for + * asserting that all known properties on an object have been + * destructured. + */ +function assertIsEmpty(obj: AssertIsEmpty): asserts obj is AssertIsEmpty { + return; +} + +function assertNever(_x: never) {} diff --git a/src/lib/ChatCompletionStreamingRunner.ts b/src/lib/ChatCompletionStreamingRunner.ts new file mode 100644 index 000000000..ba0c6496f --- /dev/null +++ b/src/lib/ChatCompletionStreamingRunner.ts @@ -0,0 +1,72 @@ +import { + type ChatCompletionChunk, + type ChatCompletionCreateParamsStreaming, +} from '../resources/chat/completions'; +import { RunnerOptions, type AbstractChatCompletionRunnerEvents } from './AbstractChatCompletionRunner'; +import { type ReadableStream } from '../_shims/index'; +import { RunnableTools, type BaseFunctionsArgs, type RunnableFunctions } from './RunnableFunction'; +import { ChatCompletionSnapshot, ChatCompletionStream } from './ChatCompletionStream'; +import OpenAI from '../index'; +import { AutoParseableTool } from '../lib/parser'; + +export interface ChatCompletionStreamEvents extends AbstractChatCompletionRunnerEvents { + content: (contentDelta: string, contentSnapshot: string) => void; + chunk: (chunk: ChatCompletionChunk, snapshot: ChatCompletionSnapshot) => void; +} + +export type ChatCompletionStreamingFunctionRunnerParams = Omit< + ChatCompletionCreateParamsStreaming, + 'functions' +> & { + functions: RunnableFunctions; +}; + +export type ChatCompletionStreamingToolRunnerParams = Omit< + ChatCompletionCreateParamsStreaming, + 'tools' +> & { + tools: RunnableTools | AutoParseableTool[]; +}; + +export class ChatCompletionStreamingRunner + extends ChatCompletionStream + implements AsyncIterable +{ + static override fromReadableStream(stream: ReadableStream): ChatCompletionStreamingRunner { + const runner = new ChatCompletionStreamingRunner(null); + runner._run(() => runner._fromReadableStream(stream)); + return runner; + } + + /** @deprecated - please use `runTools` instead. */ + static runFunctions( + client: OpenAI, + params: ChatCompletionStreamingFunctionRunnerParams, + options?: RunnerOptions, + ): ChatCompletionStreamingRunner { + const runner = new ChatCompletionStreamingRunner(null); + const opts = { + ...options, + headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'runFunctions' }, + }; + runner._run(() => runner._runFunctions(client, params, opts)); + return runner; + } + + static runTools( + client: OpenAI, + params: ChatCompletionStreamingToolRunnerParams, + options?: RunnerOptions, + ): ChatCompletionStreamingRunner { + const runner = new ChatCompletionStreamingRunner( + // @ts-expect-error TODO these types are incompatible + params, + ); + const opts = { + ...options, + headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'runTools' }, + }; + runner._run(() => runner._runTools(client, params, opts)); + return runner; + } +} diff --git a/src/lib/EventEmitter.ts b/src/lib/EventEmitter.ts new file mode 100644 index 000000000..9adeebdc3 --- /dev/null +++ b/src/lib/EventEmitter.ts @@ -0,0 +1,98 @@ +type EventListener = Events[EventType]; + +type EventListeners = Array<{ + listener: EventListener; + once?: boolean; +}>; + +export type EventParameters = { + [Event in EventType]: EventListener extends (...args: infer P) => any ? P : never; +}[EventType]; + +export class EventEmitter any>> { + #listeners: { + [Event in keyof EventTypes]?: EventListeners; + } = {}; + + /** + * Adds the listener function to the end of the listeners array for the event. + * No checks are made to see if the listener has already been added. Multiple calls passing + * the same combination of event and listener will result in the listener being added, and + * called, multiple times. + * @returns this, so that calls can be chained + */ + on(event: Event, listener: EventListener): this { + const listeners: EventListeners = + this.#listeners[event] || (this.#listeners[event] = []); + listeners.push({ listener }); + return this; + } + + /** + * Removes the specified listener from the listener array for the event. + * off() will remove, at most, one instance of a listener from the listener array. If any single + * listener has been added multiple times to the listener array for the specified event, then + * off() must be called multiple times to remove each instance. + * @returns this, so that calls can be chained + */ + off(event: Event, listener: EventListener): this { + const listeners = this.#listeners[event]; + if (!listeners) return this; + const index = listeners.findIndex((l) => l.listener === listener); + if (index >= 0) listeners.splice(index, 1); + return this; + } + + /** + * Adds a one-time listener function for the event. The next time the event is triggered, + * this listener is removed and then invoked. + * @returns this, so that calls can be chained + */ + once(event: Event, listener: EventListener): this { + const listeners: EventListeners = + this.#listeners[event] || (this.#listeners[event] = []); + listeners.push({ listener, once: true }); + return this; + } + + /** + * This is similar to `.once()`, but returns a Promise that resolves the next time + * the event is triggered, instead of calling a listener callback. + * @returns a Promise that resolves the next time given event is triggered, + * or rejects if an error is emitted. (If you request the 'error' event, + * returns a promise that resolves with the error). + * + * Example: + * + * const message = await stream.emitted('message') // rejects if the stream errors + */ + emitted( + event: Event, + ): Promise< + EventParameters extends [infer Param] ? Param + : EventParameters extends [] ? void + : EventParameters + > { + return new Promise((resolve, reject) => { + // TODO: handle errors + this.once(event, resolve as any); + }); + } + + protected _emit( + this: EventEmitter, + event: Event, + ...args: EventParameters + ) { + const listeners: EventListeners | undefined = this.#listeners[event]; + if (listeners) { + this.#listeners[event] = listeners.filter((l) => !l.once) as any; + listeners.forEach(({ listener }: any) => listener(...(args as any))); + } + } + + protected _hasListener(event: keyof EventTypes): boolean { + const listeners = this.#listeners[event]; + return listeners && listeners.length > 0; + } +} diff --git a/src/lib/EventStream.ts b/src/lib/EventStream.ts new file mode 100644 index 000000000..d3f485e9d --- /dev/null +++ b/src/lib/EventStream.ts @@ -0,0 +1,239 @@ +import { APIUserAbortError, OpenAIError } from '../error'; + +export class EventStream { + controller: AbortController = new AbortController(); + + #connectedPromise: Promise; + #resolveConnectedPromise: () => void = () => {}; + #rejectConnectedPromise: (error: OpenAIError) => void = () => {}; + + #endPromise: Promise; + #resolveEndPromise: () => void = () => {}; + #rejectEndPromise: (error: OpenAIError) => void = () => {}; + + #listeners: { + [Event in keyof EventTypes]?: EventListeners; + } = {}; + + #ended = false; + #errored = false; + #aborted = false; + #catchingPromiseCreated = false; + + constructor() { + this.#connectedPromise = new Promise((resolve, reject) => { + this.#resolveConnectedPromise = resolve; + this.#rejectConnectedPromise = reject; + }); + + this.#endPromise = new Promise((resolve, reject) => { + this.#resolveEndPromise = resolve; + this.#rejectEndPromise = reject; + }); + + // Don't let these promises cause unhandled rejection errors. + // we will manually cause an unhandled rejection error later + // if the user hasn't registered any error listener or called + // any promise-returning method. + this.#connectedPromise.catch(() => {}); + this.#endPromise.catch(() => {}); + } + + protected _run(this: EventStream, executor: () => Promise) { + // Unfortunately if we call `executor()` immediately we get runtime errors about + // references to `this` before the `super()` constructor call returns. + setTimeout(() => { + executor().then(() => { + this._emitFinal(); + this._emit('end'); + }, this.#handleError.bind(this)); + }, 0); + } + + protected _connected(this: EventStream) { + if (this.ended) return; + this.#resolveConnectedPromise(); + this._emit('connect'); + } + + get ended(): boolean { + return this.#ended; + } + + get errored(): boolean { + return this.#errored; + } + + get aborted(): boolean { + return this.#aborted; + } + + abort() { + this.controller.abort(); + } + + /** + * Adds the listener function to the end of the listeners array for the event. + * No checks are made to see if the listener has already been added. Multiple calls passing + * the same combination of event and listener will result in the listener being added, and + * called, multiple times. + * @returns this ChatCompletionStream, so that calls can be chained + */ + on(event: Event, listener: EventListener): this { + const listeners: EventListeners = + this.#listeners[event] || (this.#listeners[event] = []); + listeners.push({ listener }); + return this; + } + + /** + * Removes the specified listener from the listener array for the event. + * off() will remove, at most, one instance of a listener from the listener array. If any single + * listener has been added multiple times to the listener array for the specified event, then + * off() must be called multiple times to remove each instance. + * @returns this ChatCompletionStream, so that calls can be chained + */ + off(event: Event, listener: EventListener): this { + const listeners = this.#listeners[event]; + if (!listeners) return this; + const index = listeners.findIndex((l) => l.listener === listener); + if (index >= 0) listeners.splice(index, 1); + return this; + } + + /** + * Adds a one-time listener function for the event. The next time the event is triggered, + * this listener is removed and then invoked. + * @returns this ChatCompletionStream, so that calls can be chained + */ + once(event: Event, listener: EventListener): this { + const listeners: EventListeners = + this.#listeners[event] || (this.#listeners[event] = []); + listeners.push({ listener, once: true }); + return this; + } + + /** + * This is similar to `.once()`, but returns a Promise that resolves the next time + * the event is triggered, instead of calling a listener callback. + * @returns a Promise that resolves the next time given event is triggered, + * or rejects if an error is emitted. (If you request the 'error' event, + * returns a promise that resolves with the error). + * + * Example: + * + * const message = await stream.emitted('message') // rejects if the stream errors + */ + emitted( + event: Event, + ): Promise< + EventParameters extends [infer Param] ? Param + : EventParameters extends [] ? void + : EventParameters + > { + return new Promise((resolve, reject) => { + this.#catchingPromiseCreated = true; + if (event !== 'error') this.once('error', reject); + this.once(event, resolve as any); + }); + } + + async done(): Promise { + this.#catchingPromiseCreated = true; + await this.#endPromise; + } + + #handleError(this: EventStream, error: unknown) { + this.#errored = true; + if (error instanceof Error && error.name === 'AbortError') { + error = new APIUserAbortError(); + } + if (error instanceof APIUserAbortError) { + this.#aborted = true; + return this._emit('abort', error); + } + if (error instanceof OpenAIError) { + return this._emit('error', error); + } + if (error instanceof Error) { + const openAIError: OpenAIError = new OpenAIError(error.message); + // @ts-ignore + openAIError.cause = error; + return this._emit('error', openAIError); + } + return this._emit('error', new OpenAIError(String(error))); + } + + _emit(event: Event, ...args: EventParameters): void; + _emit(event: Event, ...args: EventParameters): void; + _emit( + this: EventStream, + event: Event, + ...args: EventParameters + ) { + // make sure we don't emit any events after end + if (this.#ended) { + return; + } + + if (event === 'end') { + this.#ended = true; + this.#resolveEndPromise(); + } + + const listeners: EventListeners | undefined = this.#listeners[event]; + if (listeners) { + this.#listeners[event] = listeners.filter((l) => !l.once) as any; + listeners.forEach(({ listener }: any) => listener(...(args as any))); + } + + if (event === 'abort') { + const error = args[0] as APIUserAbortError; + if (!this.#catchingPromiseCreated && !listeners?.length) { + Promise.reject(error); + } + this.#rejectConnectedPromise(error); + this.#rejectEndPromise(error); + this._emit('end'); + return; + } + + if (event === 'error') { + // NOTE: _emit('error', error) should only be called from #handleError(). + + const error = args[0] as OpenAIError; + if (!this.#catchingPromiseCreated && !listeners?.length) { + // Trigger an unhandled rejection if the user hasn't registered any error handlers. + // If you are seeing stack traces here, make sure to handle errors via either: + // - runner.on('error', () => ...) + // - await runner.done() + // - await runner.finalChatCompletion() + // - etc. + Promise.reject(error); + } + this.#rejectConnectedPromise(error); + this.#rejectEndPromise(error); + this._emit('end'); + } + } + + protected _emitFinal(): void {} +} + +type EventListener = Events[EventType]; + +type EventListeners = Array<{ + listener: EventListener; + once?: boolean; +}>; + +export type EventParameters = { + [Event in EventType]: EventListener extends (...args: infer P) => any ? P : never; +}[EventType]; + +export interface BaseEvents { + connect: () => void; + error: (error: OpenAIError) => void; + abort: (error: APIUserAbortError) => void; + end: () => void; +} diff --git a/src/lib/ResponsesParser.ts b/src/lib/ResponsesParser.ts new file mode 100644 index 000000000..c64c6ffa0 --- /dev/null +++ b/src/lib/ResponsesParser.ts @@ -0,0 +1,262 @@ +import { OpenAIError } from '../error'; +import type { ChatCompletionTool } from '../resources/chat/completions'; +import { + type FunctionTool, + type ParsedContent, + type ParsedResponse, + type ParsedResponseFunctionToolCall, + type ParsedResponseOutputItem, + type Response, + type ResponseCreateParamsBase, + type ResponseCreateParamsNonStreaming, + type ResponseFunctionToolCall, + type Tool, +} from '../resources/responses/responses'; +import { type AutoParseableTextFormat, isAutoParsableResponseFormat } from '../lib/parser'; + +export type ParseableToolsParams = Array | ChatCompletionTool | null; + +export type ResponseCreateParamsWithTools = ResponseCreateParamsBase & { + tools?: ParseableToolsParams; +}; + +export type ExtractParsedContentFromParams = + NonNullable['format'] extends AutoParseableTextFormat ? P : null; + +export function maybeParseResponse< + Params extends ResponseCreateParamsBase | null, + ParsedT = Params extends null ? null : ExtractParsedContentFromParams>, +>(response: Response, params: Params): ParsedResponse { + if (!params || !hasAutoParseableInput(params)) { + return { + ...response, + output_parsed: null, + output: response.output.map((item) => { + if (item.type === 'function_call') { + return { + ...item, + parsed_arguments: null, + }; + } + + if (item.type === 'message') { + return { + ...item, + content: item.content.map((content) => ({ + ...content, + parsed: null, + })), + }; + } else { + return item; + } + }), + }; + } + + return parseResponse(response, params); +} + +export function parseResponse< + Params extends ResponseCreateParamsBase, + ParsedT = ExtractParsedContentFromParams, +>(response: Response, params: Params): ParsedResponse { + const output: Array> = response.output.map( + (item): ParsedResponseOutputItem => { + if (item.type === 'function_call') { + return { + ...item, + parsed_arguments: parseToolCall(params, item), + }; + } + if (item.type === 'message') { + const content: Array> = item.content.map((content) => { + if (content.type === 'output_text') { + return { + ...content, + parsed: parseTextFormat(params, content.text), + }; + } + + return content; + }); + + return { + ...item, + content, + }; + } + + return item; + }, + ); + + const parsed: Omit, 'output_parsed'> = Object.assign({}, response, { output }); + if (!Object.getOwnPropertyDescriptor(response, 'output_text')) { + addOutputText(parsed); + } + + Object.defineProperty(parsed, 'output_parsed', { + enumerable: true, + get() { + for (const output of parsed.output) { + if (output.type !== 'message') { + continue; + } + + for (const content of output.content) { + if (content.type === 'output_text' && content.parsed !== null) { + return content.parsed; + } + } + } + + return null; + }, + }); + + return parsed as ParsedResponse; +} + +function parseTextFormat< + Params extends ResponseCreateParamsBase, + ParsedT = ExtractParsedContentFromParams, +>(params: Params, content: string): ParsedT | null { + if (params.text?.format?.type !== 'json_schema') { + return null; + } + + if ('$parseRaw' in params.text?.format) { + const text_format = params.text?.format as unknown as AutoParseableTextFormat; + return text_format.$parseRaw(content); + } + + return JSON.parse(content); +} + +export function hasAutoParseableInput(params: ResponseCreateParamsWithTools): boolean { + if (isAutoParsableResponseFormat(params.text?.format)) { + return true; + } + + return false; +} + +type ToolOptions = { + name: string; + arguments: any; + function?: ((args: any) => any) | undefined; +}; + +export type AutoParseableResponseTool< + OptionsT extends ToolOptions, + HasFunction = OptionsT['function'] extends Function ? true : false, +> = FunctionTool & { + __arguments: OptionsT['arguments']; // type-level only + __name: OptionsT['name']; // type-level only + + $brand: 'auto-parseable-tool'; + $callback: ((args: OptionsT['arguments']) => any) | undefined; + $parseRaw(args: string): OptionsT['arguments']; +}; + +export function makeParseableResponseTool( + tool: FunctionTool, + { + parser, + callback, + }: { + parser: (content: string) => OptionsT['arguments']; + callback: ((args: any) => any) | undefined; + }, +): AutoParseableResponseTool { + const obj = { ...tool }; + + Object.defineProperties(obj, { + $brand: { + value: 'auto-parseable-tool', + enumerable: false, + }, + $parseRaw: { + value: parser, + enumerable: false, + }, + $callback: { + value: callback, + enumerable: false, + }, + }); + + return obj as AutoParseableResponseTool; +} + +export function isAutoParsableTool(tool: any): tool is AutoParseableResponseTool { + return tool?.['$brand'] === 'auto-parseable-tool'; +} + +function getInputToolByName(input_tools: Array, name: string): FunctionTool | undefined { + return input_tools.find((tool) => tool.type === 'function' && tool.name === name) as + | FunctionTool + | undefined; +} + +function parseToolCall( + params: Params, + toolCall: ResponseFunctionToolCall, +): ParsedResponseFunctionToolCall { + const inputTool = getInputToolByName(params.tools ?? [], toolCall.name); + + return { + ...toolCall, + ...toolCall, + parsed_arguments: + isAutoParsableTool(inputTool) ? inputTool.$parseRaw(toolCall.arguments) + : inputTool?.strict ? JSON.parse(toolCall.arguments) + : null, + }; +} + +export function shouldParseToolCall( + params: ResponseCreateParamsNonStreaming | null | undefined, + toolCall: ResponseFunctionToolCall, +): boolean { + if (!params) { + return false; + } + + const inputTool = getInputToolByName(params.tools ?? [], toolCall.name); + return isAutoParsableTool(inputTool) || inputTool?.strict || false; +} + +export function validateInputTools(tools: ChatCompletionTool[] | undefined) { + for (const tool of tools ?? []) { + if (tool.type !== 'function') { + throw new OpenAIError( + `Currently only \`function\` tool types support auto-parsing; Received \`${tool.type}\``, + ); + } + + if (tool.function.strict !== true) { + throw new OpenAIError( + `The \`${tool.function.name}\` tool is not marked with \`strict: true\`. Only strict function tools can be auto-parsed`, + ); + } + } +} + +export function addOutputText(rsp: Response): void { + const texts: string[] = []; + for (const output of rsp.output) { + if (output.type !== 'message') { + continue; + } + + for (const content of output.content) { + if (content.type === 'output_text') { + texts.push(content.text); + } + } + } + + rsp.output_text = texts.join(''); +} diff --git a/src/lib/RunnableFunction.ts b/src/lib/RunnableFunction.ts new file mode 100644 index 000000000..a645f5ebe --- /dev/null +++ b/src/lib/RunnableFunction.ts @@ -0,0 +1,136 @@ +import { type ChatCompletionRunner } from './ChatCompletionRunner'; +import { type ChatCompletionStreamingRunner } from './ChatCompletionStreamingRunner'; +import { JSONSchema } from './jsonschema'; + +type PromiseOrValue = T | Promise; + +export type RunnableFunctionWithParse = { + /** + * @param args the return value from `parse`. + * @param runner the runner evaluating this callback. + * @returns a string to send back to OpenAI. + */ + function: ( + args: Args, + runner: ChatCompletionRunner | ChatCompletionStreamingRunner, + ) => PromiseOrValue; + /** + * @param input the raw args from the OpenAI function call. + * @returns the parsed arguments to pass to `function` + */ + parse: (input: string) => PromiseOrValue; + /** + * The parameters the function accepts, describes as a JSON Schema object. + */ + parameters: JSONSchema; + /** + * A description of what the function does, used by the model to choose when and how to call the function. + */ + description: string; + /** + * The name of the function to be called. Will default to function.name if omitted. + */ + name?: string | undefined; + strict?: boolean | undefined; +}; + +export type RunnableFunctionWithoutParse = { + /** + * @param args the raw args from the OpenAI function call. + * @returns a string to send back to OpenAI + */ + function: ( + args: string, + runner: ChatCompletionRunner | ChatCompletionStreamingRunner, + ) => PromiseOrValue; + /** + * The parameters the function accepts, describes as a JSON Schema object. + */ + parameters: JSONSchema; + /** + * A description of what the function does, used by the model to choose when and how to call the function. + */ + description: string; + /** + * The name of the function to be called. Will default to function.name if omitted. + */ + name?: string | undefined; + strict?: boolean | undefined; +}; + +export type RunnableFunction = + Args extends string ? RunnableFunctionWithoutParse + : Args extends object ? RunnableFunctionWithParse + : never; + +export type RunnableToolFunction = + Args extends string ? RunnableToolFunctionWithoutParse + : Args extends object ? RunnableToolFunctionWithParse + : never; + +export type RunnableToolFunctionWithoutParse = { + type: 'function'; + function: RunnableFunctionWithoutParse; +}; +export type RunnableToolFunctionWithParse = { + type: 'function'; + function: RunnableFunctionWithParse; +}; + +export function isRunnableFunctionWithParse( + fn: any, +): fn is RunnableFunctionWithParse { + return typeof (fn as any).parse === 'function'; +} + +export type BaseFunctionsArgs = readonly (object | string)[]; + +export type RunnableFunctions = + [any[]] extends [FunctionsArgs] ? readonly RunnableFunction[] + : { + [Index in keyof FunctionsArgs]: Index extends number ? RunnableFunction + : FunctionsArgs[Index]; + }; + +export type RunnableTools = + [any[]] extends [FunctionsArgs] ? readonly RunnableToolFunction[] + : { + [Index in keyof FunctionsArgs]: Index extends number ? RunnableToolFunction + : FunctionsArgs[Index]; + }; + +/** + * This is helper class for passing a `function` and `parse` where the `function` + * argument type matches the `parse` return type. + * + * @deprecated - please use ParsingToolFunction instead. + */ +export class ParsingFunction { + function: RunnableFunctionWithParse['function']; + parse: RunnableFunctionWithParse['parse']; + parameters: RunnableFunctionWithParse['parameters']; + description: RunnableFunctionWithParse['description']; + name?: RunnableFunctionWithParse['name']; + + constructor(input: RunnableFunctionWithParse) { + this.function = input.function; + this.parse = input.parse; + this.parameters = input.parameters; + this.description = input.description; + this.name = input.name; + } +} + +/** + * This is helper class for passing a `function` and `parse` where the `function` + * argument type matches the `parse` return type. + */ +export class ParsingToolFunction { + type: 'function'; + function: RunnableFunctionWithParse; + + constructor(input: RunnableFunctionWithParse) { + this.type = 'function'; + this.function = input; + } +} diff --git a/src/lib/Util.ts b/src/lib/Util.ts new file mode 100644 index 000000000..ae09b8a91 --- /dev/null +++ b/src/lib/Util.ts @@ -0,0 +1,23 @@ +/** + * Like `Promise.allSettled()` but throws an error if any promises are rejected. + */ +export const allSettledWithThrow = async (promises: Promise[]): Promise => { + const results = await Promise.allSettled(promises); + const rejected = results.filter((result): result is PromiseRejectedResult => result.status === 'rejected'); + if (rejected.length) { + for (const result of rejected) { + console.error(result.reason); + } + + throw new Error(`${rejected.length} promise(s) failed - see the above errors`); + } + + // Note: TS was complaining about using `.filter().map()` here for some reason + const values: R[] = []; + for (const result of results) { + if (result.status === 'fulfilled') { + values.push(result.value); + } + } + return values; +}; diff --git a/src/lib/chatCompletionUtils.ts b/src/lib/chatCompletionUtils.ts new file mode 100644 index 000000000..7e9f8a093 --- /dev/null +++ b/src/lib/chatCompletionUtils.ts @@ -0,0 +1,28 @@ +import { + type ChatCompletionAssistantMessageParam, + type ChatCompletionFunctionMessageParam, + type ChatCompletionMessageParam, + type ChatCompletionToolMessageParam, +} from '../resources'; + +export const isAssistantMessage = ( + message: ChatCompletionMessageParam | null | undefined, +): message is ChatCompletionAssistantMessageParam => { + return message?.role === 'assistant'; +}; + +export const isFunctionMessage = ( + message: ChatCompletionMessageParam | null | undefined, +): message is ChatCompletionFunctionMessageParam => { + return message?.role === 'function'; +}; + +export const isToolMessage = ( + message: ChatCompletionMessageParam | null | undefined, +): message is ChatCompletionToolMessageParam => { + return message?.role === 'tool'; +}; + +export function isPresent(obj: T | null | undefined): obj is T { + return obj != null; +} diff --git a/src/lib/jsonschema.ts b/src/lib/jsonschema.ts new file mode 100644 index 000000000..636277705 --- /dev/null +++ b/src/lib/jsonschema.ts @@ -0,0 +1,148 @@ +// File mostly copied from @types/json-schema, but stripped down a bit for brevity +// https://github.com/DefinitelyTyped/DefinitelyTyped/blob/817274f3280152ba2929a6067c93df8b34c4c9aa/types/json-schema/index.d.ts +// +// ================================================================================================== +// JSON Schema Draft 07 +// ================================================================================================== +// https://tools.ietf.org/html/draft-handrews-json-schema-validation-01 +// -------------------------------------------------------------------------------------------------- + +/** + * Primitive type + * @see https://tools.ietf.org/html/draft-handrews-json-schema-validation-01#section-6.1.1 + */ +export type JSONSchemaTypeName = + | ({} & string) + | 'string' + | 'number' + | 'integer' + | 'boolean' + | 'object' + | 'array' + | 'null'; + +/** + * Primitive type + * @see https://tools.ietf.org/html/draft-handrews-json-schema-validation-01#section-6.1.1 + */ +export type JSONSchemaType = + | string // + | number + | boolean + | JSONSchemaObject + | JSONSchemaArray + | null; + +// Workaround for infinite type recursion +export interface JSONSchemaObject { + [key: string]: JSONSchemaType; +} + +// Workaround for infinite type recursion +// https://github.com/Microsoft/TypeScript/issues/3496#issuecomment-128553540 +export interface JSONSchemaArray extends Array {} + +/** + * Meta schema + * + * Recommended values: + * - 'http://json-schema.org/schema#' + * - 'http://json-schema.org/hyper-schema#' + * - 'http://json-schema.org/draft-07/schema#' + * - 'http://json-schema.org/draft-07/hyper-schema#' + * + * @see https://tools.ietf.org/html/draft-handrews-json-schema-validation-01#section-5 + */ +export type JSONSchemaVersion = string; + +/** + * JSON Schema v7 + * @see https://tools.ietf.org/html/draft-handrews-json-schema-validation-01 + */ +export type JSONSchemaDefinition = JSONSchema | boolean; +export interface JSONSchema { + $id?: string | undefined; + $comment?: string | undefined; + + /** + * @see https://tools.ietf.org/html/draft-handrews-json-schema-validation-01#section-6.1 + */ + type?: JSONSchemaTypeName | JSONSchemaTypeName[] | undefined; + enum?: JSONSchemaType[] | undefined; + const?: JSONSchemaType | undefined; + + /** + * @see https://tools.ietf.org/html/draft-handrews-json-schema-validation-01#section-6.2 + */ + multipleOf?: number | undefined; + maximum?: number | undefined; + exclusiveMaximum?: number | undefined; + minimum?: number | undefined; + exclusiveMinimum?: number | undefined; + + /** + * @see https://tools.ietf.org/html/draft-handrews-json-schema-validation-01#section-6.3 + */ + maxLength?: number | undefined; + minLength?: number | undefined; + pattern?: string | undefined; + + /** + * @see https://tools.ietf.org/html/draft-handrews-json-schema-validation-01#section-6.4 + */ + items?: JSONSchemaDefinition | JSONSchemaDefinition[] | undefined; + additionalItems?: JSONSchemaDefinition | undefined; + maxItems?: number | undefined; + minItems?: number | undefined; + uniqueItems?: boolean | undefined; + contains?: JSONSchemaDefinition | undefined; + + /** + * @see https://tools.ietf.org/html/draft-handrews-json-schema-validation-01#section-6.5 + */ + maxProperties?: number | undefined; + minProperties?: number | undefined; + required?: string[] | undefined; + properties?: + | { + [key: string]: JSONSchemaDefinition; + } + | undefined; + patternProperties?: + | { + [key: string]: JSONSchemaDefinition; + } + | undefined; + additionalProperties?: JSONSchemaDefinition | undefined; + propertyNames?: JSONSchemaDefinition | undefined; + + /** + * @see https://tools.ietf.org/html/draft-handrews-json-schema-validation-01#section-6.6 + */ + if?: JSONSchemaDefinition | undefined; + then?: JSONSchemaDefinition | undefined; + else?: JSONSchemaDefinition | undefined; + + /** + * @see https://tools.ietf.org/html/draft-handrews-json-schema-validation-01#section-6.7 + */ + allOf?: JSONSchemaDefinition[] | undefined; + anyOf?: JSONSchemaDefinition[] | undefined; + oneOf?: JSONSchemaDefinition[] | undefined; + not?: JSONSchemaDefinition | undefined; + + /** + * @see https://tools.ietf.org/html/draft-handrews-json-schema-validation-01#section-7 + */ + format?: string | undefined; + + /** + * @see https://tools.ietf.org/html/draft-handrews-json-schema-validation-01#section-10 + */ + title?: string | undefined; + description?: string | undefined; + default?: JSONSchemaType | undefined; + readOnly?: boolean | undefined; + writeOnly?: boolean | undefined; + examples?: JSONSchemaType | undefined; +} diff --git a/src/lib/parser.ts b/src/lib/parser.ts new file mode 100644 index 000000000..d75d32a40 --- /dev/null +++ b/src/lib/parser.ts @@ -0,0 +1,276 @@ +import { + ChatCompletion, + ChatCompletionCreateParams, + ChatCompletionMessageToolCall, + ChatCompletionTool, +} from '../resources/chat/completions'; +import { + ChatCompletionStreamingToolRunnerParams, + ChatCompletionStreamParams, + ChatCompletionToolRunnerParams, + ParsedChatCompletion, + ParsedChoice, + ParsedFunctionToolCall, +} from '../resources/beta/chat/completions'; +import { ResponseFormatJSONSchema } from '../resources/shared'; +import { ContentFilterFinishReasonError, LengthFinishReasonError, OpenAIError } from '../error'; +import { type ResponseFormatTextJSONSchemaConfig } from '../resources/responses/responses'; + +type AnyChatCompletionCreateParams = + | ChatCompletionCreateParams + | ChatCompletionToolRunnerParams + | ChatCompletionStreamingToolRunnerParams + | ChatCompletionStreamParams; + +export type ExtractParsedContentFromParams = + Params['response_format'] extends AutoParseableResponseFormat ? P : null; + +export type AutoParseableResponseFormat = ResponseFormatJSONSchema & { + __output: ParsedT; // type-level only + + $brand: 'auto-parseable-response-format'; + $parseRaw(content: string): ParsedT; +}; + +export function makeParseableResponseFormat( + response_format: ResponseFormatJSONSchema, + parser: (content: string) => ParsedT, +): AutoParseableResponseFormat { + const obj = { ...response_format }; + + Object.defineProperties(obj, { + $brand: { + value: 'auto-parseable-response-format', + enumerable: false, + }, + $parseRaw: { + value: parser, + enumerable: false, + }, + }); + + return obj as AutoParseableResponseFormat; +} + +export type AutoParseableTextFormat = ResponseFormatTextJSONSchemaConfig & { + __output: ParsedT; // type-level only + + $brand: 'auto-parseable-response-format'; + $parseRaw(content: string): ParsedT; +}; + +export function makeParseableTextFormat( + response_format: ResponseFormatTextJSONSchemaConfig, + parser: (content: string) => ParsedT, +): AutoParseableTextFormat { + const obj = { ...response_format }; + + Object.defineProperties(obj, { + $brand: { + value: 'auto-parseable-response-format', + enumerable: false, + }, + $parseRaw: { + value: parser, + enumerable: false, + }, + }); + + return obj as AutoParseableTextFormat; +} + +export function isAutoParsableResponseFormat( + response_format: any, +): response_format is AutoParseableResponseFormat { + return response_format?.['$brand'] === 'auto-parseable-response-format'; +} + +type ToolOptions = { + name: string; + arguments: any; + function?: ((args: any) => any) | undefined; +}; + +export type AutoParseableTool< + OptionsT extends ToolOptions, + HasFunction = OptionsT['function'] extends Function ? true : false, +> = ChatCompletionTool & { + __arguments: OptionsT['arguments']; // type-level only + __name: OptionsT['name']; // type-level only + __hasFunction: HasFunction; // type-level only + + $brand: 'auto-parseable-tool'; + $callback: ((args: OptionsT['arguments']) => any) | undefined; + $parseRaw(args: string): OptionsT['arguments']; +}; + +export function makeParseableTool( + tool: ChatCompletionTool, + { + parser, + callback, + }: { + parser: (content: string) => OptionsT['arguments']; + callback: ((args: any) => any) | undefined; + }, +): AutoParseableTool { + const obj = { ...tool }; + + Object.defineProperties(obj, { + $brand: { + value: 'auto-parseable-tool', + enumerable: false, + }, + $parseRaw: { + value: parser, + enumerable: false, + }, + $callback: { + value: callback, + enumerable: false, + }, + }); + + return obj as AutoParseableTool; +} + +export function isAutoParsableTool(tool: any): tool is AutoParseableTool { + return tool?.['$brand'] === 'auto-parseable-tool'; +} + +export function maybeParseChatCompletion< + Params extends ChatCompletionCreateParams | null, + ParsedT = Params extends null ? null : ExtractParsedContentFromParams>, +>(completion: ChatCompletion, params: Params): ParsedChatCompletion { + if (!params || !hasAutoParseableInput(params)) { + return { + ...completion, + choices: completion.choices.map((choice) => ({ + ...choice, + message: { + ...choice.message, + parsed: null, + ...(choice.message.tool_calls ? + { + tool_calls: choice.message.tool_calls, + } + : undefined), + }, + })), + }; + } + + return parseChatCompletion(completion, params); +} + +export function parseChatCompletion< + Params extends ChatCompletionCreateParams, + ParsedT = ExtractParsedContentFromParams, +>(completion: ChatCompletion, params: Params): ParsedChatCompletion { + const choices: Array> = completion.choices.map((choice): ParsedChoice => { + if (choice.finish_reason === 'length') { + throw new LengthFinishReasonError(); + } + + if (choice.finish_reason === 'content_filter') { + throw new ContentFilterFinishReasonError(); + } + + return { + ...choice, + message: { + ...choice.message, + ...(choice.message.tool_calls ? + { + tool_calls: + choice.message.tool_calls?.map((toolCall) => parseToolCall(params, toolCall)) ?? undefined, + } + : undefined), + parsed: + choice.message.content && !choice.message.refusal ? + parseResponseFormat(params, choice.message.content) + : null, + }, + }; + }); + + return { ...completion, choices }; +} + +function parseResponseFormat< + Params extends ChatCompletionCreateParams, + ParsedT = ExtractParsedContentFromParams, +>(params: Params, content: string): ParsedT | null { + if (params.response_format?.type !== 'json_schema') { + return null; + } + + if (params.response_format?.type === 'json_schema') { + if ('$parseRaw' in params.response_format) { + const response_format = params.response_format as AutoParseableResponseFormat; + + return response_format.$parseRaw(content); + } + + return JSON.parse(content); + } + + return null; +} + +function parseToolCall( + params: Params, + toolCall: ChatCompletionMessageToolCall, +): ParsedFunctionToolCall { + const inputTool = params.tools?.find((inputTool) => inputTool.function?.name === toolCall.function.name); + return { + ...toolCall, + function: { + ...toolCall.function, + parsed_arguments: + isAutoParsableTool(inputTool) ? inputTool.$parseRaw(toolCall.function.arguments) + : inputTool?.function.strict ? JSON.parse(toolCall.function.arguments) + : null, + }, + }; +} + +export function shouldParseToolCall( + params: ChatCompletionCreateParams | null | undefined, + toolCall: ChatCompletionMessageToolCall, +): boolean { + if (!params) { + return false; + } + + const inputTool = params.tools?.find((inputTool) => inputTool.function?.name === toolCall.function.name); + return isAutoParsableTool(inputTool) || inputTool?.function.strict || false; +} + +export function hasAutoParseableInput(params: AnyChatCompletionCreateParams): boolean { + if (isAutoParsableResponseFormat(params.response_format)) { + return true; + } + + return ( + params.tools?.some( + (t) => isAutoParsableTool(t) || (t.type === 'function' && t.function.strict === true), + ) ?? false + ); +} + +export function validateInputTools(tools: ChatCompletionTool[] | undefined) { + for (const tool of tools ?? []) { + if (tool.type !== 'function') { + throw new OpenAIError( + `Currently only \`function\` tool types support auto-parsing; Received \`${tool.type}\``, + ); + } + + if (tool.function.strict !== true) { + throw new OpenAIError( + `The \`${tool.function.name}\` tool is not marked with \`strict: true\`. Only strict function tools can be auto-parsed`, + ); + } + } +} diff --git a/src/lib/responses/EventTypes.ts b/src/lib/responses/EventTypes.ts new file mode 100644 index 000000000..fc1620988 --- /dev/null +++ b/src/lib/responses/EventTypes.ts @@ -0,0 +1,76 @@ +import { + ResponseAudioDeltaEvent, + ResponseAudioDoneEvent, + ResponseAudioTranscriptDeltaEvent, + ResponseAudioTranscriptDoneEvent, + ResponseCodeInterpreterCallCodeDeltaEvent, + ResponseCodeInterpreterCallCodeDoneEvent, + ResponseCodeInterpreterCallCompletedEvent, + ResponseCodeInterpreterCallInProgressEvent, + ResponseCodeInterpreterCallInterpretingEvent, + ResponseCompletedEvent, + ResponseContentPartAddedEvent, + ResponseContentPartDoneEvent, + ResponseCreatedEvent, + ResponseErrorEvent, + ResponseFailedEvent, + ResponseFileSearchCallCompletedEvent, + ResponseFileSearchCallInProgressEvent, + ResponseFileSearchCallSearchingEvent, + ResponseFunctionCallArgumentsDeltaEvent as RawResponseFunctionCallArgumentsDeltaEvent, + ResponseFunctionCallArgumentsDoneEvent, + ResponseInProgressEvent, + ResponseOutputItemAddedEvent, + ResponseOutputItemDoneEvent, + ResponseRefusalDeltaEvent, + ResponseRefusalDoneEvent, + ResponseTextAnnotationDeltaEvent, + ResponseTextDeltaEvent as RawResponseTextDeltaEvent, + ResponseTextDoneEvent, + ResponseIncompleteEvent, + ResponseWebSearchCallCompletedEvent, + ResponseWebSearchCallInProgressEvent, + ResponseWebSearchCallSearchingEvent, +} from '../../resources/responses/responses'; + +export type ResponseFunctionCallArgumentsDeltaEvent = RawResponseFunctionCallArgumentsDeltaEvent & { + snapshot: string; +}; + +export type ResponseTextDeltaEvent = RawResponseTextDeltaEvent & { + snapshot: string; +}; + +export type ParsedResponseStreamEvent = + | ResponseAudioDeltaEvent + | ResponseAudioDoneEvent + | ResponseAudioTranscriptDeltaEvent + | ResponseAudioTranscriptDoneEvent + | ResponseCodeInterpreterCallCodeDeltaEvent + | ResponseCodeInterpreterCallCodeDoneEvent + | ResponseCodeInterpreterCallCompletedEvent + | ResponseCodeInterpreterCallInProgressEvent + | ResponseCodeInterpreterCallInterpretingEvent + | ResponseCompletedEvent + | ResponseContentPartAddedEvent + | ResponseContentPartDoneEvent + | ResponseCreatedEvent + | ResponseErrorEvent + | ResponseFileSearchCallCompletedEvent + | ResponseFileSearchCallInProgressEvent + | ResponseFileSearchCallSearchingEvent + | ResponseFunctionCallArgumentsDeltaEvent + | ResponseFunctionCallArgumentsDoneEvent + | ResponseInProgressEvent + | ResponseFailedEvent + | ResponseIncompleteEvent + | ResponseOutputItemAddedEvent + | ResponseOutputItemDoneEvent + | ResponseRefusalDeltaEvent + | ResponseRefusalDoneEvent + | ResponseTextAnnotationDeltaEvent + | ResponseTextDeltaEvent + | ResponseTextDoneEvent + | ResponseWebSearchCallCompletedEvent + | ResponseWebSearchCallInProgressEvent + | ResponseWebSearchCallSearchingEvent; diff --git a/src/lib/responses/ResponseStream.ts b/src/lib/responses/ResponseStream.ts new file mode 100644 index 000000000..d2ee80a75 --- /dev/null +++ b/src/lib/responses/ResponseStream.ts @@ -0,0 +1,298 @@ +import { + type ParsedResponse, + type Response, + type ResponseCreateParamsBase, + type ResponseCreateParamsStreaming, + type ResponseStreamEvent, +} from '../../resources/responses/responses'; +import * as Core from '../../core'; +import { APIUserAbortError, OpenAIError } from '../../error'; +import OpenAI from '../../index'; +import { type BaseEvents, EventStream } from '../EventStream'; +import { type ResponseFunctionCallArgumentsDeltaEvent, type ResponseTextDeltaEvent } from './EventTypes'; +import { maybeParseResponse } from '../ResponsesParser'; + +export type ResponseStreamParams = Omit & { + stream?: true; +}; + +type ResponseEvents = BaseEvents & + Omit< + { + [K in ResponseStreamEvent['type']]: (event: Extract) => void; + }, + 'response.output_text.delta' | 'response.function_call_arguments.delta' + > & { + event: (event: ResponseStreamEvent) => void; + 'response.output_text.delta': (event: ResponseTextDeltaEvent) => void; + 'response.function_call_arguments.delta': (event: ResponseFunctionCallArgumentsDeltaEvent) => void; + }; + +export type ResponseStreamingParams = Omit & { + stream?: true; +}; + +export class ResponseStream + extends EventStream + implements AsyncIterable +{ + #params: ResponseStreamingParams | null; + #currentResponseSnapshot: Response | undefined; + #finalResponse: ParsedResponse | undefined; + + constructor(params: ResponseStreamingParams | null) { + super(); + this.#params = params; + } + + static createResponse( + client: OpenAI, + params: ResponseStreamParams, + options?: Core.RequestOptions, + ): ResponseStream { + const runner = new ResponseStream(params as ResponseCreateParamsStreaming); + runner._run(() => + runner._createResponse(client, params, { + ...options, + headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' }, + }), + ); + return runner; + } + + #beginRequest() { + if (this.ended) return; + this.#currentResponseSnapshot = undefined; + } + + #addEvent(this: ResponseStream, event: ResponseStreamEvent) { + if (this.ended) return; + + const response = this.#accumulateResponse(event); + this._emit('event', event); + + switch (event.type) { + case 'response.output_text.delta': { + const output = response.output[event.output_index]; + if (!output) { + throw new OpenAIError(`missing output at index ${event.output_index}`); + } + if (output.type === 'message') { + const content = output.content[event.content_index]; + if (!content) { + throw new OpenAIError(`missing content at index ${event.content_index}`); + } + if (content.type !== 'output_text') { + throw new OpenAIError(`expected content to be 'output_text', got ${content.type}`); + } + + this._emit('response.output_text.delta', { + ...event, + snapshot: content.text, + }); + } + break; + } + case 'response.function_call_arguments.delta': { + const output = response.output[event.output_index]; + if (!output) { + throw new OpenAIError(`missing output at index ${event.output_index}`); + } + if (output.type === 'function_call') { + this._emit('response.function_call_arguments.delta', { + ...event, + snapshot: output.arguments, + }); + } + break; + } + default: + // @ts-ignore + this._emit(event.type, event); + break; + } + } + + #endRequest(): ParsedResponse { + if (this.ended) { + throw new OpenAIError(`stream has ended, this shouldn't happen`); + } + const snapshot = this.#currentResponseSnapshot; + if (!snapshot) { + throw new OpenAIError(`request ended without sending any events`); + } + this.#currentResponseSnapshot = undefined; + const parsedResponse = finalizeResponse(snapshot, this.#params); + this.#finalResponse = parsedResponse; + + return parsedResponse; + } + + protected async _createResponse( + client: OpenAI, + params: ResponseStreamingParams, + options?: Core.RequestOptions, + ): Promise> { + const signal = options?.signal; + if (signal) { + if (signal.aborted) this.controller.abort(); + signal.addEventListener('abort', () => this.controller.abort()); + } + this.#beginRequest(); + + const stream = await client.responses.create( + { ...params, stream: true }, + { ...options, signal: this.controller.signal }, + ); + this._connected(); + for await (const event of stream) { + this.#addEvent(event); + } + if (stream.controller.signal?.aborted) { + throw new APIUserAbortError(); + } + return this.#endRequest(); + } + + #accumulateResponse(event: ResponseStreamEvent): Response { + let snapshot = this.#currentResponseSnapshot; + if (!snapshot) { + if (event.type !== 'response.created') { + throw new OpenAIError( + `When snapshot hasn't been set yet, expected 'response.created' event, got ${event.type}`, + ); + } + snapshot = this.#currentResponseSnapshot = event.response; + return snapshot; + } + + switch (event.type) { + case 'response.output_item.added': { + snapshot.output.push(event.item); + break; + } + case 'response.content_part.added': { + const output = snapshot.output[event.output_index]; + if (!output) { + throw new OpenAIError(`missing output at index ${event.output_index}`); + } + if (output.type === 'message') { + output.content.push(event.part); + } + break; + } + case 'response.output_text.delta': { + const output = snapshot.output[event.output_index]; + if (!output) { + throw new OpenAIError(`missing output at index ${event.output_index}`); + } + if (output.type === 'message') { + const content = output.content[event.content_index]; + if (!content) { + throw new OpenAIError(`missing content at index ${event.content_index}`); + } + if (content.type !== 'output_text') { + throw new OpenAIError(`expected content to be 'output_text', got ${content.type}`); + } + content.text += event.delta; + } + break; + } + case 'response.function_call_arguments.delta': { + const output = snapshot.output[event.output_index]; + if (!output) { + throw new OpenAIError(`missing output at index ${event.output_index}`); + } + if (output.type === 'function_call') { + output.arguments += event.delta; + } + break; + } + case 'response.completed': { + this.#currentResponseSnapshot = event.response; + break; + } + } + + return snapshot; + } + + [Symbol.asyncIterator](this: ResponseStream): AsyncIterator { + const pushQueue: ResponseStreamEvent[] = []; + const readQueue: { + resolve: (event: ResponseStreamEvent | undefined) => void; + reject: (err: unknown) => void; + }[] = []; + let done = false; + + this.on('event', (event) => { + const reader = readQueue.shift(); + if (reader) { + reader.resolve(event); + } else { + pushQueue.push(event); + } + }); + + this.on('end', () => { + done = true; + for (const reader of readQueue) { + reader.resolve(undefined); + } + readQueue.length = 0; + }); + + this.on('abort', (err) => { + done = true; + for (const reader of readQueue) { + reader.reject(err); + } + readQueue.length = 0; + }); + + this.on('error', (err) => { + done = true; + for (const reader of readQueue) { + reader.reject(err); + } + readQueue.length = 0; + }); + + return { + next: async (): Promise> => { + if (!pushQueue.length) { + if (done) { + return { value: undefined, done: true }; + } + return new Promise((resolve, reject) => + readQueue.push({ resolve, reject }), + ).then((event) => (event ? { value: event, done: false } : { value: undefined, done: true })); + } + const event = pushQueue.shift()!; + return { value: event, done: false }; + }, + return: async () => { + this.abort(); + return { value: undefined, done: true }; + }, + }; + } + + /** + * @returns a promise that resolves with the final Response, or rejects + * if an error occurred or the stream ended prematurely without producing a REsponse. + */ + async finalResponse(): Promise> { + await this.done(); + const response = this.#finalResponse; + if (!response) throw new OpenAIError('stream ended without producing a ChatCompletion'); + return response; + } +} + +function finalizeResponse( + snapshot: Response, + params: ResponseStreamingParams | null, +): ParsedResponse { + return maybeParseResponse(snapshot, params); +} diff --git a/src/pagination.ts b/src/pagination.ts new file mode 100644 index 000000000..7a513fc44 --- /dev/null +++ b/src/pagination.ts @@ -0,0 +1,111 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { AbstractPage, Response, APIClient, FinalRequestOptions, PageInfo } from './core'; + +export interface PageResponse { + data: Array; + + object: string; +} + +/** + * Note: no pagination actually occurs yet, this is for forwards-compatibility. + */ +export class Page extends AbstractPage implements PageResponse { + data: Array; + + object: string; + + constructor(client: APIClient, response: Response, body: PageResponse, options: FinalRequestOptions) { + super(client, response, body, options); + + this.data = body.data || []; + this.object = body.object; + } + + getPaginatedItems(): Item[] { + return this.data ?? []; + } + + // @deprecated Please use `nextPageInfo()` instead + /** + * This page represents a response that isn't actually paginated at the API level + * so there will never be any next page params. + */ + nextPageParams(): null { + return null; + } + + nextPageInfo(): null { + return null; + } +} + +export interface CursorPageResponse { + data: Array; + + has_more: boolean; +} + +export interface CursorPageParams { + after?: string; + + limit?: number; +} + +export class CursorPage + extends AbstractPage + implements CursorPageResponse +{ + data: Array; + + has_more: boolean; + + constructor( + client: APIClient, + response: Response, + body: CursorPageResponse, + options: FinalRequestOptions, + ) { + super(client, response, body, options); + + this.data = body.data || []; + this.has_more = body.has_more || false; + } + + getPaginatedItems(): Item[] { + return this.data ?? []; + } + + override hasNextPage(): boolean { + if (this.has_more === false) { + return false; + } + + return super.hasNextPage(); + } + + // @deprecated Please use `nextPageInfo()` instead + nextPageParams(): Partial | null { + const info = this.nextPageInfo(); + if (!info) return null; + if ('params' in info) return info.params; + const params = Object.fromEntries(info.url.searchParams); + if (!Object.keys(params).length) return null; + return params; + } + + nextPageInfo(): PageInfo | null { + const data = this.getPaginatedItems(); + if (!data.length) { + return null; + } + + const id = data[data.length - 1]?.id; + if (!id) { + return null; + } + + return { params: { after: id } }; + } +} diff --git a/src/resource.ts b/src/resource.ts new file mode 100644 index 000000000..87847c879 --- /dev/null +++ b/src/resource.ts @@ -0,0 +1,11 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import type { OpenAI } from './index'; + +export class APIResource { + protected _client: OpenAI; + + constructor(client: OpenAI) { + this._client = client; + } +} diff --git a/src/resources.ts b/src/resources.ts new file mode 100644 index 000000000..b283d5781 --- /dev/null +++ b/src/resources.ts @@ -0,0 +1 @@ +export * from './resources/index'; diff --git a/src/resources/audio/audio.ts b/src/resources/audio/audio.ts new file mode 100644 index 000000000..071fe5929 --- /dev/null +++ b/src/resources/audio/audio.ts @@ -0,0 +1,78 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../resource'; +import * as SpeechAPI from './speech'; +import { Speech, SpeechCreateParams, SpeechModel } from './speech'; +import * as TranscriptionsAPI from './transcriptions'; +import { + Transcription, + TranscriptionCreateParams, + TranscriptionCreateParamsNonStreaming, + TranscriptionCreateParamsStreaming, + TranscriptionCreateResponse, + TranscriptionInclude, + TranscriptionSegment, + TranscriptionStreamEvent, + TranscriptionTextDeltaEvent, + TranscriptionTextDoneEvent, + TranscriptionVerbose, + TranscriptionWord, + Transcriptions, +} from './transcriptions'; +import * as TranslationsAPI from './translations'; +import { + Translation, + TranslationCreateParams, + TranslationCreateResponse, + TranslationVerbose, + Translations, +} from './translations'; + +export class Audio extends APIResource { + transcriptions: TranscriptionsAPI.Transcriptions = new TranscriptionsAPI.Transcriptions(this._client); + translations: TranslationsAPI.Translations = new TranslationsAPI.Translations(this._client); + speech: SpeechAPI.Speech = new SpeechAPI.Speech(this._client); +} + +export type AudioModel = 'whisper-1' | 'gpt-4o-transcribe' | 'gpt-4o-mini-transcribe'; + +/** + * The format of the output, in one of these options: `json`, `text`, `srt`, + * `verbose_json`, or `vtt`. For `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`, + * the only supported format is `json`. + */ +export type AudioResponseFormat = 'json' | 'text' | 'srt' | 'verbose_json' | 'vtt'; + +Audio.Transcriptions = Transcriptions; +Audio.Translations = Translations; +Audio.Speech = Speech; + +export declare namespace Audio { + export { type AudioModel as AudioModel, type AudioResponseFormat as AudioResponseFormat }; + + export { + Transcriptions as Transcriptions, + type Transcription as Transcription, + type TranscriptionInclude as TranscriptionInclude, + type TranscriptionSegment as TranscriptionSegment, + type TranscriptionStreamEvent as TranscriptionStreamEvent, + type TranscriptionTextDeltaEvent as TranscriptionTextDeltaEvent, + type TranscriptionTextDoneEvent as TranscriptionTextDoneEvent, + type TranscriptionVerbose as TranscriptionVerbose, + type TranscriptionWord as TranscriptionWord, + type TranscriptionCreateResponse as TranscriptionCreateResponse, + type TranscriptionCreateParams as TranscriptionCreateParams, + type TranscriptionCreateParamsNonStreaming as TranscriptionCreateParamsNonStreaming, + type TranscriptionCreateParamsStreaming as TranscriptionCreateParamsStreaming, + }; + + export { + Translations as Translations, + type Translation as Translation, + type TranslationVerbose as TranslationVerbose, + type TranslationCreateResponse as TranslationCreateResponse, + type TranslationCreateParams as TranslationCreateParams, + }; + + export { Speech as Speech, type SpeechModel as SpeechModel, type SpeechCreateParams as SpeechCreateParams }; +} diff --git a/src/resources/audio/index.ts b/src/resources/audio/index.ts new file mode 100644 index 000000000..deed39ede --- /dev/null +++ b/src/resources/audio/index.ts @@ -0,0 +1,26 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +export { Audio, type AudioModel, type AudioResponseFormat } from './audio'; +export { Speech, type SpeechModel, type SpeechCreateParams } from './speech'; +export { + Transcriptions, + type Transcription, + type TranscriptionInclude, + type TranscriptionSegment, + type TranscriptionStreamEvent, + type TranscriptionTextDeltaEvent, + type TranscriptionTextDoneEvent, + type TranscriptionVerbose, + type TranscriptionWord, + type TranscriptionCreateResponse, + type TranscriptionCreateParams, + type TranscriptionCreateParamsNonStreaming, + type TranscriptionCreateParamsStreaming, +} from './transcriptions'; +export { + Translations, + type Translation, + type TranslationVerbose, + type TranslationCreateResponse, + type TranslationCreateParams, +} from './translations'; diff --git a/src/resources/audio/speech.ts b/src/resources/audio/speech.ts new file mode 100644 index 000000000..ccd37c092 --- /dev/null +++ b/src/resources/audio/speech.ts @@ -0,0 +1,88 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../resource'; +import * as Core from '../../core'; +import { type Response } from '../../_shims/index'; + +export class Speech extends APIResource { + /** + * Generates audio from the input text. + * + * @example + * ```ts + * const speech = await client.audio.speech.create({ + * input: 'input', + * model: 'string', + * voice: 'ash', + * }); + * + * const content = await speech.blob(); + * console.log(content); + * ``` + */ + create(body: SpeechCreateParams, options?: Core.RequestOptions): Core.APIPromise { + return this._client.post('/audio/speech', { + body, + ...options, + headers: { Accept: 'application/octet-stream', ...options?.headers }, + __binaryResponse: true, + }); + } +} + +export type SpeechModel = 'tts-1' | 'tts-1-hd' | 'gpt-4o-mini-tts'; + +export interface SpeechCreateParams { + /** + * The text to generate audio for. The maximum length is 4096 characters. + */ + input: string; + + /** + * One of the available [TTS models](https://platform.openai.com/docs/models#tts): + * `tts-1`, `tts-1-hd` or `gpt-4o-mini-tts`. + */ + model: (string & {}) | SpeechModel; + + /** + * The voice to use when generating the audio. Supported voices are `alloy`, `ash`, + * `ballad`, `coral`, `echo`, `fable`, `onyx`, `nova`, `sage`, `shimmer`, and + * `verse`. Previews of the voices are available in the + * [Text to speech guide](https://platform.openai.com/docs/guides/text-to-speech#voice-options). + */ + voice: + | (string & {}) + | 'alloy' + | 'ash' + | 'ballad' + | 'coral' + | 'echo' + | 'fable' + | 'onyx' + | 'nova' + | 'sage' + | 'shimmer' + | 'verse'; + + /** + * Control the voice of your generated audio with additional instructions. Does not + * work with `tts-1` or `tts-1-hd`. + */ + instructions?: string; + + /** + * The format to audio in. Supported formats are `mp3`, `opus`, `aac`, `flac`, + * `wav`, and `pcm`. + */ + response_format?: 'mp3' | 'opus' | 'aac' | 'flac' | 'wav' | 'pcm'; + + /** + * The speed of the generated audio. Select a value from `0.25` to `4.0`. `1.0` is + * the default. Does not work with `gpt-4o-mini-tts`. + */ + speed?: number; +} + +export declare namespace Speech { + export { type SpeechModel as SpeechModel, type SpeechCreateParams as SpeechCreateParams }; +} diff --git a/src/resources/audio/transcriptions.ts b/src/resources/audio/transcriptions.ts new file mode 100644 index 000000000..9e5310874 --- /dev/null +++ b/src/resources/audio/transcriptions.ts @@ -0,0 +1,473 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../resource'; +import * as Core from '../../core'; +import * as TranscriptionsAPI from './transcriptions'; +import * as AudioAPI from './audio'; +import { Stream } from '../../streaming'; + +export class Transcriptions extends APIResource { + /** + * Transcribes audio into the input language. + * + * @example + * ```ts + * const transcription = + * await client.audio.transcriptions.create({ + * file: fs.createReadStream('speech.mp3'), + * model: 'gpt-4o-transcribe', + * }); + * ``` + */ + create( + body: TranscriptionCreateParamsNonStreaming<'json' | undefined>, + options?: Core.RequestOptions, + ): Core.APIPromise; + create( + body: TranscriptionCreateParamsNonStreaming<'verbose_json'>, + options?: Core.RequestOptions, + ): Core.APIPromise; + create( + body: TranscriptionCreateParamsNonStreaming<'srt' | 'vtt' | 'text'>, + options?: Core.RequestOptions, + ): Core.APIPromise; + create( + body: TranscriptionCreateParamsNonStreaming, + options?: Core.RequestOptions, + ): Core.APIPromise; + create( + body: TranscriptionCreateParamsStreaming, + options?: Core.RequestOptions, + ): Core.APIPromise>; + create( + body: TranscriptionCreateParamsStreaming, + options?: Core.RequestOptions, + ): Core.APIPromise>; + create( + body: TranscriptionCreateParams, + options?: Core.RequestOptions, + ): Core.APIPromise> { + return this._client.post( + '/audio/transcriptions', + Core.multipartFormRequestOptions({ + body, + ...options, + stream: body.stream ?? false, + __metadata: { model: body.model }, + }), + ); + } +} + +/** + * Represents a transcription response returned by model, based on the provided + * input. + */ +export interface Transcription { + /** + * The transcribed text. + */ + text: string; + + /** + * The log probabilities of the tokens in the transcription. Only returned with the + * models `gpt-4o-transcribe` and `gpt-4o-mini-transcribe` if `logprobs` is added + * to the `include` array. + */ + logprobs?: Array; +} + +export namespace Transcription { + export interface Logprob { + /** + * The token in the transcription. + */ + token?: string; + + /** + * The bytes of the token. + */ + bytes?: Array; + + /** + * The log probability of the token. + */ + logprob?: number; + } +} + +export type TranscriptionInclude = 'logprobs'; + +export interface TranscriptionSegment { + /** + * Unique identifier of the segment. + */ + id: number; + + /** + * Average logprob of the segment. If the value is lower than -1, consider the + * logprobs failed. + */ + avg_logprob: number; + + /** + * Compression ratio of the segment. If the value is greater than 2.4, consider the + * compression failed. + */ + compression_ratio: number; + + /** + * End time of the segment in seconds. + */ + end: number; + + /** + * Probability of no speech in the segment. If the value is higher than 1.0 and the + * `avg_logprob` is below -1, consider this segment silent. + */ + no_speech_prob: number; + + /** + * Seek offset of the segment. + */ + seek: number; + + /** + * Start time of the segment in seconds. + */ + start: number; + + /** + * Temperature parameter used for generating the segment. + */ + temperature: number; + + /** + * Text content of the segment. + */ + text: string; + + /** + * Array of token IDs for the text content. + */ + tokens: Array; +} + +/** + * Emitted when there is an additional text delta. This is also the first event + * emitted when the transcription starts. Only emitted when you + * [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription) + * with the `Stream` parameter set to `true`. + */ +export type TranscriptionStreamEvent = TranscriptionTextDeltaEvent | TranscriptionTextDoneEvent; + +/** + * Emitted when there is an additional text delta. This is also the first event + * emitted when the transcription starts. Only emitted when you + * [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription) + * with the `Stream` parameter set to `true`. + */ +export interface TranscriptionTextDeltaEvent { + /** + * The text delta that was additionally transcribed. + */ + delta: string; + + /** + * The type of the event. Always `transcript.text.delta`. + */ + type: 'transcript.text.delta'; + + /** + * The log probabilities of the delta. Only included if you + * [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription) + * with the `include[]` parameter set to `logprobs`. + */ + logprobs?: Array; +} + +export namespace TranscriptionTextDeltaEvent { + export interface Logprob { + /** + * The token that was used to generate the log probability. + */ + token?: string; + + /** + * The bytes that were used to generate the log probability. + */ + bytes?: Array; + + /** + * The log probability of the token. + */ + logprob?: number; + } +} + +/** + * Emitted when the transcription is complete. Contains the complete transcription + * text. Only emitted when you + * [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription) + * with the `Stream` parameter set to `true`. + */ +export interface TranscriptionTextDoneEvent { + /** + * The text that was transcribed. + */ + text: string; + + /** + * The type of the event. Always `transcript.text.done`. + */ + type: 'transcript.text.done'; + + /** + * The log probabilities of the individual tokens in the transcription. Only + * included if you + * [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription) + * with the `include[]` parameter set to `logprobs`. + */ + logprobs?: Array; +} + +export namespace TranscriptionTextDoneEvent { + export interface Logprob { + /** + * The token that was used to generate the log probability. + */ + token?: string; + + /** + * The bytes that were used to generate the log probability. + */ + bytes?: Array; + + /** + * The log probability of the token. + */ + logprob?: number; + } +} + +/** + * Represents a verbose json transcription response returned by model, based on the + * provided input. + */ +export interface TranscriptionVerbose { + /** + * The duration of the input audio. + */ + duration: number; + + /** + * The language of the input audio. + */ + language: string; + + /** + * The transcribed text. + */ + text: string; + + /** + * Segments of the transcribed text and their corresponding details. + */ + segments?: Array; + + /** + * Extracted words and their corresponding timestamps. + */ + words?: Array; +} + +export interface TranscriptionWord { + /** + * End time of the word in seconds. + */ + end: number; + + /** + * Start time of the word in seconds. + */ + start: number; + + /** + * The text content of the word. + */ + word: string; +} + +/** + * Represents a transcription response returned by model, based on the provided + * input. + */ +export type TranscriptionCreateResponse = Transcription | TranscriptionVerbose; + +export type TranscriptionCreateParams< + ResponseFormat extends AudioAPI.AudioResponseFormat | undefined = AudioAPI.AudioResponseFormat | undefined, +> = TranscriptionCreateParamsNonStreaming | TranscriptionCreateParamsStreaming; + +export interface TranscriptionCreateParamsBase< + ResponseFormat extends AudioAPI.AudioResponseFormat | undefined = AudioAPI.AudioResponseFormat | undefined, +> { + /** + * The audio file object (not file name) to transcribe, in one of these formats: + * flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm. + */ + file: Core.Uploadable; + + /** + * ID of the model to use. The options are `gpt-4o-transcribe`, + * `gpt-4o-mini-transcribe`, and `whisper-1` (which is powered by our open source + * Whisper V2 model). + */ + model: (string & {}) | AudioAPI.AudioModel; + + /** + * Controls how the audio is cut into chunks. When set to `"auto"`, the server + * first normalizes loudness and then uses voice activity detection (VAD) to choose + * boundaries. `server_vad` object can be provided to tweak VAD detection + * parameters manually. If unset, the audio is transcribed as a single block. + */ + chunking_strategy?: 'auto' | TranscriptionCreateParams.VadConfig | null; + + /** + * Additional information to include in the transcription response. `logprobs` will + * return the log probabilities of the tokens in the response to understand the + * model's confidence in the transcription. `logprobs` only works with + * response_format set to `json` and only with the models `gpt-4o-transcribe` and + * `gpt-4o-mini-transcribe`. + */ + include?: Array; + + /** + * The language of the input audio. Supplying the input language in + * [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`) + * format will improve accuracy and latency. + */ + language?: string; + + /** + * An optional text to guide the model's style or continue a previous audio + * segment. The + * [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting) + * should match the audio language. + */ + prompt?: string; + + /** + * The format of the output, in one of these options: `json`, `text`, `srt`, + * `verbose_json`, or `vtt`. For `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`, + * the only supported format is `json`. + */ + response_format?: ResponseFormat; + + /** + * If set to true, the model response data will be streamed to the client as it is + * generated using + * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format). + * See the + * [Streaming section of the Speech-to-Text guide](https://platform.openai.com/docs/guides/speech-to-text?lang=curl#streaming-transcriptions) + * for more information. + * + * Note: Streaming is not supported for the `whisper-1` model and will be ignored. + */ + stream?: boolean | null; + + /** + * The sampling temperature, between 0 and 1. Higher values like 0.8 will make the + * output more random, while lower values like 0.2 will make it more focused and + * deterministic. If set to 0, the model will use + * [log probability](https://en.wikipedia.org/wiki/Log_probability) to + * automatically increase the temperature until certain thresholds are hit. + */ + temperature?: number; + + /** + * The timestamp granularities to populate for this transcription. + * `response_format` must be set `verbose_json` to use timestamp granularities. + * Either or both of these options are supported: `word`, or `segment`. Note: There + * is no additional latency for segment timestamps, but generating word timestamps + * incurs additional latency. + */ + timestamp_granularities?: Array<'word' | 'segment'>; +} + +export namespace TranscriptionCreateParams { + export interface VadConfig { + /** + * Must be set to `server_vad` to enable manual chunking using server side VAD. + */ + type: 'server_vad'; + + /** + * Amount of audio to include before the VAD detected speech (in milliseconds). + */ + prefix_padding_ms?: number; + + /** + * Duration of silence to detect speech stop (in milliseconds). With shorter values + * the model will respond more quickly, but may jump in on short pauses from the + * user. + */ + silence_duration_ms?: number; + + /** + * Sensitivity threshold (0.0 to 1.0) for voice activity detection. A higher + * threshold will require louder audio to activate the model, and thus might + * perform better in noisy environments. + */ + threshold?: number; + } + + export type TranscriptionCreateParamsNonStreaming = TranscriptionsAPI.TranscriptionCreateParamsNonStreaming; + export type TranscriptionCreateParamsStreaming = TranscriptionsAPI.TranscriptionCreateParamsStreaming; +} + +export interface TranscriptionCreateParamsNonStreaming< + ResponseFormat extends AudioAPI.AudioResponseFormat | undefined = AudioAPI.AudioResponseFormat | undefined, +> extends TranscriptionCreateParamsBase { + /** + * If set to true, the model response data will be streamed to the client as it is + * generated using + * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format). + * See the + * [Streaming section of the Speech-to-Text guide](https://platform.openai.com/docs/guides/speech-to-text?lang=curl#streaming-transcriptions) + * for more information. + * + * Note: Streaming is not supported for the `whisper-1` model and will be ignored. + */ + stream?: false | null; +} + +export interface TranscriptionCreateParamsStreaming extends TranscriptionCreateParamsBase { + /** + * If set to true, the model response data will be streamed to the client as it is + * generated using + * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format). + * See the + * [Streaming section of the Speech-to-Text guide](https://platform.openai.com/docs/guides/speech-to-text?lang=curl#streaming-transcriptions) + * for more information. + * + * Note: Streaming is not supported for the `whisper-1` model and will be ignored. + */ + stream: true; +} + +export declare namespace Transcriptions { + export { + type Transcription as Transcription, + type TranscriptionInclude as TranscriptionInclude, + type TranscriptionSegment as TranscriptionSegment, + type TranscriptionStreamEvent as TranscriptionStreamEvent, + type TranscriptionTextDeltaEvent as TranscriptionTextDeltaEvent, + type TranscriptionTextDoneEvent as TranscriptionTextDoneEvent, + type TranscriptionVerbose as TranscriptionVerbose, + type TranscriptionWord as TranscriptionWord, + type TranscriptionCreateResponse as TranscriptionCreateResponse, + type TranscriptionCreateParams as TranscriptionCreateParams, + type TranscriptionCreateParamsNonStreaming as TranscriptionCreateParamsNonStreaming, + type TranscriptionCreateParamsStreaming as TranscriptionCreateParamsStreaming, + }; +} diff --git a/src/resources/audio/translations.ts b/src/resources/audio/translations.ts new file mode 100644 index 000000000..1edb71a7d --- /dev/null +++ b/src/resources/audio/translations.ts @@ -0,0 +1,118 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../resource'; +import * as Core from '../../core'; +import * as AudioAPI from './audio'; +import * as TranscriptionsAPI from './transcriptions'; + +export class Translations extends APIResource { + /** + * Translates audio into English. + * + * @example + * ```ts + * const translation = await client.audio.translations.create({ + * file: fs.createReadStream('speech.mp3'), + * model: 'whisper-1', + * }); + * ``` + */ + create( + body: TranslationCreateParams<'json' | undefined>, + options?: Core.RequestOptions, + ): Core.APIPromise; + create( + body: TranslationCreateParams<'verbose_json'>, + options?: Core.RequestOptions, + ): Core.APIPromise; + create( + body: TranslationCreateParams<'text' | 'srt' | 'vtt'>, + options?: Core.RequestOptions, + ): Core.APIPromise; + create(body: TranslationCreateParams, options?: Core.RequestOptions): Core.APIPromise; + create( + body: TranslationCreateParams, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this._client.post( + '/audio/translations', + Core.multipartFormRequestOptions({ body, ...options, __metadata: { model: body.model } }), + ); + } +} + +export interface Translation { + text: string; +} + +export interface TranslationVerbose { + /** + * The duration of the input audio. + */ + duration: number; + + /** + * The language of the output translation (always `english`). + */ + language: string; + + /** + * The translated text. + */ + text: string; + + /** + * Segments of the translated text and their corresponding details. + */ + segments?: Array; +} + +export type TranslationCreateResponse = Translation | TranslationVerbose; + +export interface TranslationCreateParams< + ResponseFormat extends AudioAPI.AudioResponseFormat | undefined = AudioAPI.AudioResponseFormat | undefined, +> { + /** + * The audio file object (not file name) translate, in one of these formats: flac, + * mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm. + */ + file: Core.Uploadable; + + /** + * ID of the model to use. Only `whisper-1` (which is powered by our open source + * Whisper V2 model) is currently available. + */ + model: (string & {}) | AudioAPI.AudioModel; + + /** + * An optional text to guide the model's style or continue a previous audio + * segment. The + * [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting) + * should be in English. + */ + prompt?: string; + + /** + * The format of the output, in one of these options: `json`, `text`, `srt`, + * `verbose_json`, or `vtt`. + */ + response_format?: 'json' | 'text' | 'srt' | 'verbose_json' | 'vtt'; + + /** + * The sampling temperature, between 0 and 1. Higher values like 0.8 will make the + * output more random, while lower values like 0.2 will make it more focused and + * deterministic. If set to 0, the model will use + * [log probability](https://en.wikipedia.org/wiki/Log_probability) to + * automatically increase the temperature until certain thresholds are hit. + */ + temperature?: number; +} + +export declare namespace Translations { + export { + type Translation as Translation, + type TranslationVerbose as TranslationVerbose, + type TranslationCreateResponse as TranslationCreateResponse, + type TranslationCreateParams as TranslationCreateParams, + }; +} diff --git a/src/resources/batches.ts b/src/resources/batches.ts new file mode 100644 index 000000000..2cf2ac566 --- /dev/null +++ b/src/resources/batches.ts @@ -0,0 +1,266 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../resource'; +import { isRequestOptions } from '../core'; +import * as Core from '../core'; +import * as BatchesAPI from './batches'; +import * as Shared from './shared'; +import { CursorPage, type CursorPageParams } from '../pagination'; + +export class Batches extends APIResource { + /** + * Creates and executes a batch from an uploaded file of requests + */ + create(body: BatchCreateParams, options?: Core.RequestOptions): Core.APIPromise { + return this._client.post('/batches', { body, ...options }); + } + + /** + * Retrieves a batch. + */ + retrieve(batchId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.get(`/batches/${batchId}`, options); + } + + /** + * List your organization's batches. + */ + list(query?: BatchListParams, options?: Core.RequestOptions): Core.PagePromise; + list(options?: Core.RequestOptions): Core.PagePromise; + list( + query: BatchListParams | Core.RequestOptions = {}, + options?: Core.RequestOptions, + ): Core.PagePromise { + if (isRequestOptions(query)) { + return this.list({}, query); + } + return this._client.getAPIList('/batches', BatchesPage, { query, ...options }); + } + + /** + * Cancels an in-progress batch. The batch will be in status `cancelling` for up to + * 10 minutes, before changing to `cancelled`, where it will have partial results + * (if any) available in the output file. + */ + cancel(batchId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.post(`/batches/${batchId}/cancel`, options); + } +} + +export class BatchesPage extends CursorPage {} + +export interface Batch { + id: string; + + /** + * The time frame within which the batch should be processed. + */ + completion_window: string; + + /** + * The Unix timestamp (in seconds) for when the batch was created. + */ + created_at: number; + + /** + * The OpenAI API endpoint used by the batch. + */ + endpoint: string; + + /** + * The ID of the input file for the batch. + */ + input_file_id: string; + + /** + * The object type, which is always `batch`. + */ + object: 'batch'; + + /** + * The current status of the batch. + */ + status: + | 'validating' + | 'failed' + | 'in_progress' + | 'finalizing' + | 'completed' + | 'expired' + | 'cancelling' + | 'cancelled'; + + /** + * The Unix timestamp (in seconds) for when the batch was cancelled. + */ + cancelled_at?: number; + + /** + * The Unix timestamp (in seconds) for when the batch started cancelling. + */ + cancelling_at?: number; + + /** + * The Unix timestamp (in seconds) for when the batch was completed. + */ + completed_at?: number; + + /** + * The ID of the file containing the outputs of requests with errors. + */ + error_file_id?: string; + + errors?: Batch.Errors; + + /** + * The Unix timestamp (in seconds) for when the batch expired. + */ + expired_at?: number; + + /** + * The Unix timestamp (in seconds) for when the batch will expire. + */ + expires_at?: number; + + /** + * The Unix timestamp (in seconds) for when the batch failed. + */ + failed_at?: number; + + /** + * The Unix timestamp (in seconds) for when the batch started finalizing. + */ + finalizing_at?: number; + + /** + * The Unix timestamp (in seconds) for when the batch started processing. + */ + in_progress_at?: number; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + + /** + * The ID of the file containing the outputs of successfully executed requests. + */ + output_file_id?: string; + + /** + * The request counts for different statuses within the batch. + */ + request_counts?: BatchRequestCounts; +} + +export namespace Batch { + export interface Errors { + data?: Array; + + /** + * The object type, which is always `list`. + */ + object?: string; + } +} + +export interface BatchError { + /** + * An error code identifying the error type. + */ + code?: string; + + /** + * The line number of the input file where the error occurred, if applicable. + */ + line?: number | null; + + /** + * A human-readable message providing more details about the error. + */ + message?: string; + + /** + * The name of the parameter that caused the error, if applicable. + */ + param?: string | null; +} + +/** + * The request counts for different statuses within the batch. + */ +export interface BatchRequestCounts { + /** + * Number of requests that have been completed successfully. + */ + completed: number; + + /** + * Number of requests that have failed. + */ + failed: number; + + /** + * Total number of requests in the batch. + */ + total: number; +} + +export interface BatchCreateParams { + /** + * The time frame within which the batch should be processed. Currently only `24h` + * is supported. + */ + completion_window: '24h'; + + /** + * The endpoint to be used for all requests in the batch. Currently + * `/v1/responses`, `/v1/chat/completions`, `/v1/embeddings`, and `/v1/completions` + * are supported. Note that `/v1/embeddings` batches are also restricted to a + * maximum of 50,000 embedding inputs across all requests in the batch. + */ + endpoint: '/v1/responses' | '/v1/chat/completions' | '/v1/embeddings' | '/v1/completions'; + + /** + * The ID of an uploaded file that contains requests for the new batch. + * + * See [upload file](https://platform.openai.com/docs/api-reference/files/create) + * for how to upload a file. + * + * Your input file must be formatted as a + * [JSONL file](https://platform.openai.com/docs/api-reference/batch/request-input), + * and must be uploaded with the purpose `batch`. The file can contain up to 50,000 + * requests, and can be up to 200 MB in size. + */ + input_file_id: string; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; +} + +export interface BatchListParams extends CursorPageParams {} + +Batches.BatchesPage = BatchesPage; + +export declare namespace Batches { + export { + type Batch as Batch, + type BatchError as BatchError, + type BatchRequestCounts as BatchRequestCounts, + BatchesPage as BatchesPage, + type BatchCreateParams as BatchCreateParams, + type BatchListParams as BatchListParams, + }; +} diff --git a/src/resources/beta/assistants.ts b/src/resources/beta/assistants.ts new file mode 100644 index 000000000..95581bbc8 --- /dev/null +++ b/src/resources/beta/assistants.ts @@ -0,0 +1,1559 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../resource'; +import { isRequestOptions } from '../../core'; +import * as Core from '../../core'; +import * as Shared from '../shared'; +import * as MessagesAPI from './threads/messages'; +import * as ThreadsAPI from './threads/threads'; +import * as RunsAPI from './threads/runs/runs'; +import * as StepsAPI from './threads/runs/steps'; +import { CursorPage, type CursorPageParams } from '../../pagination'; +import { AssistantStream } from '../../lib/AssistantStream'; + +export class Assistants extends APIResource { + /** + * Create an assistant with a model and instructions. + * + * @example + * ```ts + * const assistant = await client.beta.assistants.create({ + * model: 'gpt-4o', + * }); + * ``` + */ + create(body: AssistantCreateParams, options?: Core.RequestOptions): Core.APIPromise { + return this._client.post('/assistants', { + body, + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Retrieves an assistant. + * + * @example + * ```ts + * const assistant = await client.beta.assistants.retrieve( + * 'assistant_id', + * ); + * ``` + */ + retrieve(assistantId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.get(`/assistants/${assistantId}`, { + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Modifies an assistant. + * + * @example + * ```ts + * const assistant = await client.beta.assistants.update( + * 'assistant_id', + * ); + * ``` + */ + update( + assistantId: string, + body: AssistantUpdateParams, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this._client.post(`/assistants/${assistantId}`, { + body, + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Returns a list of assistants. + * + * @example + * ```ts + * // Automatically fetches more pages as needed. + * for await (const assistant of client.beta.assistants.list()) { + * // ... + * } + * ``` + */ + list( + query?: AssistantListParams, + options?: Core.RequestOptions, + ): Core.PagePromise; + list(options?: Core.RequestOptions): Core.PagePromise; + list( + query: AssistantListParams | Core.RequestOptions = {}, + options?: Core.RequestOptions, + ): Core.PagePromise { + if (isRequestOptions(query)) { + return this.list({}, query); + } + return this._client.getAPIList('/assistants', AssistantsPage, { + query, + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Delete an assistant. + * + * @example + * ```ts + * const assistantDeleted = await client.beta.assistants.del( + * 'assistant_id', + * ); + * ``` + */ + del(assistantId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.delete(`/assistants/${assistantId}`, { + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } +} + +export class AssistantsPage extends CursorPage {} + +/** + * Represents an `assistant` that can call the model and use tools. + */ +export interface Assistant { + /** + * The identifier, which can be referenced in API endpoints. + */ + id: string; + + /** + * The Unix timestamp (in seconds) for when the assistant was created. + */ + created_at: number; + + /** + * The description of the assistant. The maximum length is 512 characters. + */ + description: string | null; + + /** + * The system instructions that the assistant uses. The maximum length is 256,000 + * characters. + */ + instructions: string | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata: Shared.Metadata | null; + + /** + * ID of the model to use. You can use the + * [List models](https://platform.openai.com/docs/api-reference/models/list) API to + * see all of your available models, or see our + * [Model overview](https://platform.openai.com/docs/models) for descriptions of + * them. + */ + model: string; + + /** + * The name of the assistant. The maximum length is 256 characters. + */ + name: string | null; + + /** + * The object type, which is always `assistant`. + */ + object: 'assistant'; + + /** + * A list of tool enabled on the assistant. There can be a maximum of 128 tools per + * assistant. Tools can be of types `code_interpreter`, `file_search`, or + * `function`. + */ + tools: Array; + + /** + * Specifies the format that the model must output. Compatible with + * [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), + * [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4), + * and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`. + * + * Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured + * Outputs which ensures the model will match your supplied JSON schema. Learn more + * in the + * [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). + * + * Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the + * message the model generates is valid JSON. + * + * **Important:** when using JSON mode, you **must** also instruct the model to + * produce JSON yourself via a system or user message. Without this, the model may + * generate an unending stream of whitespace until the generation reaches the token + * limit, resulting in a long-running and seemingly "stuck" request. Also note that + * the message content may be partially cut off if `finish_reason="length"`, which + * indicates the generation exceeded `max_tokens` or the conversation exceeded the + * max context length. + */ + response_format?: ThreadsAPI.AssistantResponseFormatOption | null; + + /** + * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will + * make the output more random, while lower values like 0.2 will make it more + * focused and deterministic. + */ + temperature?: number | null; + + /** + * A set of resources that are used by the assistant's tools. The resources are + * specific to the type of tool. For example, the `code_interpreter` tool requires + * a list of file IDs, while the `file_search` tool requires a list of vector store + * IDs. + */ + tool_resources?: Assistant.ToolResources | null; + + /** + * An alternative to sampling with temperature, called nucleus sampling, where the + * model considers the results of the tokens with top_p probability mass. So 0.1 + * means only the tokens comprising the top 10% probability mass are considered. + * + * We generally recommend altering this or temperature but not both. + */ + top_p?: number | null; +} + +export namespace Assistant { + /** + * A set of resources that are used by the assistant's tools. The resources are + * specific to the type of tool. For example, the `code_interpreter` tool requires + * a list of file IDs, while the `file_search` tool requires a list of vector store + * IDs. + */ + export interface ToolResources { + code_interpreter?: ToolResources.CodeInterpreter; + + file_search?: ToolResources.FileSearch; + } + + export namespace ToolResources { + export interface CodeInterpreter { + /** + * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made + * available to the `code_interpreter`` tool. There can be a maximum of 20 files + * associated with the tool. + */ + file_ids?: Array; + } + + export interface FileSearch { + /** + * The ID of the + * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) + * attached to this assistant. There can be a maximum of 1 vector store attached to + * the assistant. + */ + vector_store_ids?: Array; + } + } +} + +export interface AssistantDeleted { + id: string; + + deleted: boolean; + + object: 'assistant.deleted'; +} + +/** + * Represents an event emitted when streaming a Run. + * + * Each event in a server-sent events stream has an `event` and `data` property: + * + * ``` + * event: thread.created + * data: {"id": "thread_123", "object": "thread", ...} + * ``` + * + * We emit events whenever a new object is created, transitions to a new state, or + * is being streamed in parts (deltas). For example, we emit `thread.run.created` + * when a new run is created, `thread.run.completed` when a run completes, and so + * on. When an Assistant chooses to create a message during a run, we emit a + * `thread.message.created event`, a `thread.message.in_progress` event, many + * `thread.message.delta` events, and finally a `thread.message.completed` event. + * + * We may add additional events over time, so we recommend handling unknown events + * gracefully in your code. See the + * [Assistants API quickstart](https://platform.openai.com/docs/assistants/overview) + * to learn how to integrate the Assistants API with streaming. + */ +export type AssistantStreamEvent = + | AssistantStreamEvent.ThreadCreated + | AssistantStreamEvent.ThreadRunCreated + | AssistantStreamEvent.ThreadRunQueued + | AssistantStreamEvent.ThreadRunInProgress + | AssistantStreamEvent.ThreadRunRequiresAction + | AssistantStreamEvent.ThreadRunCompleted + | AssistantStreamEvent.ThreadRunIncomplete + | AssistantStreamEvent.ThreadRunFailed + | AssistantStreamEvent.ThreadRunCancelling + | AssistantStreamEvent.ThreadRunCancelled + | AssistantStreamEvent.ThreadRunExpired + | AssistantStreamEvent.ThreadRunStepCreated + | AssistantStreamEvent.ThreadRunStepInProgress + | AssistantStreamEvent.ThreadRunStepDelta + | AssistantStreamEvent.ThreadRunStepCompleted + | AssistantStreamEvent.ThreadRunStepFailed + | AssistantStreamEvent.ThreadRunStepCancelled + | AssistantStreamEvent.ThreadRunStepExpired + | AssistantStreamEvent.ThreadMessageCreated + | AssistantStreamEvent.ThreadMessageInProgress + | AssistantStreamEvent.ThreadMessageDelta + | AssistantStreamEvent.ThreadMessageCompleted + | AssistantStreamEvent.ThreadMessageIncomplete + | AssistantStreamEvent.ErrorEvent; + +export namespace AssistantStreamEvent { + /** + * Occurs when a new + * [thread](https://platform.openai.com/docs/api-reference/threads/object) is + * created. + */ + export interface ThreadCreated { + /** + * Represents a thread that contains + * [messages](https://platform.openai.com/docs/api-reference/messages). + */ + data: ThreadsAPI.Thread; + + event: 'thread.created'; + + /** + * Whether to enable input audio transcription. + */ + enabled?: boolean; + } + + /** + * Occurs when a new + * [run](https://platform.openai.com/docs/api-reference/runs/object) is created. + */ + export interface ThreadRunCreated { + /** + * Represents an execution run on a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: RunsAPI.Run; + + event: 'thread.run.created'; + } + + /** + * Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) + * moves to a `queued` status. + */ + export interface ThreadRunQueued { + /** + * Represents an execution run on a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: RunsAPI.Run; + + event: 'thread.run.queued'; + } + + /** + * Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) + * moves to an `in_progress` status. + */ + export interface ThreadRunInProgress { + /** + * Represents an execution run on a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: RunsAPI.Run; + + event: 'thread.run.in_progress'; + } + + /** + * Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) + * moves to a `requires_action` status. + */ + export interface ThreadRunRequiresAction { + /** + * Represents an execution run on a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: RunsAPI.Run; + + event: 'thread.run.requires_action'; + } + + /** + * Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) + * is completed. + */ + export interface ThreadRunCompleted { + /** + * Represents an execution run on a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: RunsAPI.Run; + + event: 'thread.run.completed'; + } + + /** + * Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) + * ends with status `incomplete`. + */ + export interface ThreadRunIncomplete { + /** + * Represents an execution run on a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: RunsAPI.Run; + + event: 'thread.run.incomplete'; + } + + /** + * Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) + * fails. + */ + export interface ThreadRunFailed { + /** + * Represents an execution run on a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: RunsAPI.Run; + + event: 'thread.run.failed'; + } + + /** + * Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) + * moves to a `cancelling` status. + */ + export interface ThreadRunCancelling { + /** + * Represents an execution run on a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: RunsAPI.Run; + + event: 'thread.run.cancelling'; + } + + /** + * Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) + * is cancelled. + */ + export interface ThreadRunCancelled { + /** + * Represents an execution run on a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: RunsAPI.Run; + + event: 'thread.run.cancelled'; + } + + /** + * Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) + * expires. + */ + export interface ThreadRunExpired { + /** + * Represents an execution run on a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: RunsAPI.Run; + + event: 'thread.run.expired'; + } + + /** + * Occurs when a + * [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) + * is created. + */ + export interface ThreadRunStepCreated { + /** + * Represents a step in execution of a run. + */ + data: StepsAPI.RunStep; + + event: 'thread.run.step.created'; + } + + /** + * Occurs when a + * [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) + * moves to an `in_progress` state. + */ + export interface ThreadRunStepInProgress { + /** + * Represents a step in execution of a run. + */ + data: StepsAPI.RunStep; + + event: 'thread.run.step.in_progress'; + } + + /** + * Occurs when parts of a + * [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) + * are being streamed. + */ + export interface ThreadRunStepDelta { + /** + * Represents a run step delta i.e. any changed fields on a run step during + * streaming. + */ + data: StepsAPI.RunStepDeltaEvent; + + event: 'thread.run.step.delta'; + } + + /** + * Occurs when a + * [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) + * is completed. + */ + export interface ThreadRunStepCompleted { + /** + * Represents a step in execution of a run. + */ + data: StepsAPI.RunStep; + + event: 'thread.run.step.completed'; + } + + /** + * Occurs when a + * [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) + * fails. + */ + export interface ThreadRunStepFailed { + /** + * Represents a step in execution of a run. + */ + data: StepsAPI.RunStep; + + event: 'thread.run.step.failed'; + } + + /** + * Occurs when a + * [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) + * is cancelled. + */ + export interface ThreadRunStepCancelled { + /** + * Represents a step in execution of a run. + */ + data: StepsAPI.RunStep; + + event: 'thread.run.step.cancelled'; + } + + /** + * Occurs when a + * [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) + * expires. + */ + export interface ThreadRunStepExpired { + /** + * Represents a step in execution of a run. + */ + data: StepsAPI.RunStep; + + event: 'thread.run.step.expired'; + } + + /** + * Occurs when a + * [message](https://platform.openai.com/docs/api-reference/messages/object) is + * created. + */ + export interface ThreadMessageCreated { + /** + * Represents a message within a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: MessagesAPI.Message; + + event: 'thread.message.created'; + } + + /** + * Occurs when a + * [message](https://platform.openai.com/docs/api-reference/messages/object) moves + * to an `in_progress` state. + */ + export interface ThreadMessageInProgress { + /** + * Represents a message within a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: MessagesAPI.Message; + + event: 'thread.message.in_progress'; + } + + /** + * Occurs when parts of a + * [Message](https://platform.openai.com/docs/api-reference/messages/object) are + * being streamed. + */ + export interface ThreadMessageDelta { + /** + * Represents a message delta i.e. any changed fields on a message during + * streaming. + */ + data: MessagesAPI.MessageDeltaEvent; + + event: 'thread.message.delta'; + } + + /** + * Occurs when a + * [message](https://platform.openai.com/docs/api-reference/messages/object) is + * completed. + */ + export interface ThreadMessageCompleted { + /** + * Represents a message within a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: MessagesAPI.Message; + + event: 'thread.message.completed'; + } + + /** + * Occurs when a + * [message](https://platform.openai.com/docs/api-reference/messages/object) ends + * before it is completed. + */ + export interface ThreadMessageIncomplete { + /** + * Represents a message within a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: MessagesAPI.Message; + + event: 'thread.message.incomplete'; + } + + /** + * Occurs when an + * [error](https://platform.openai.com/docs/guides/error-codes#api-errors) occurs. + * This can happen due to an internal server error or a timeout. + */ + export interface ErrorEvent { + data: Shared.ErrorObject; + + event: 'error'; + } +} + +export type AssistantTool = CodeInterpreterTool | FileSearchTool | FunctionTool; + +export interface CodeInterpreterTool { + /** + * The type of tool being defined: `code_interpreter` + */ + type: 'code_interpreter'; +} + +export interface FileSearchTool { + /** + * The type of tool being defined: `file_search` + */ + type: 'file_search'; + + /** + * Overrides for the file search tool. + */ + file_search?: FileSearchTool.FileSearch; +} + +export namespace FileSearchTool { + /** + * Overrides for the file search tool. + */ + export interface FileSearch { + /** + * The maximum number of results the file search tool should output. The default is + * 20 for `gpt-4*` models and 5 for `gpt-3.5-turbo`. This number should be between + * 1 and 50 inclusive. + * + * Note that the file search tool may output fewer than `max_num_results` results. + * See the + * [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings) + * for more information. + */ + max_num_results?: number; + + /** + * The ranking options for the file search. If not specified, the file search tool + * will use the `auto` ranker and a score_threshold of 0. + * + * See the + * [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings) + * for more information. + */ + ranking_options?: FileSearch.RankingOptions; + } + + export namespace FileSearch { + /** + * The ranking options for the file search. If not specified, the file search tool + * will use the `auto` ranker and a score_threshold of 0. + * + * See the + * [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings) + * for more information. + */ + export interface RankingOptions { + /** + * The score threshold for the file search. All values must be a floating point + * number between 0 and 1. + */ + score_threshold: number; + + /** + * The ranker to use for the file search. If not specified will use the `auto` + * ranker. + */ + ranker?: 'auto' | 'default_2024_08_21'; + } + } +} + +export interface FunctionTool { + function: Shared.FunctionDefinition; + + /** + * The type of tool being defined: `function` + */ + type: 'function'; +} + +/** + * Occurs when a + * [message](https://platform.openai.com/docs/api-reference/messages/object) is + * created. + */ +export type MessageStreamEvent = + | MessageStreamEvent.ThreadMessageCreated + | MessageStreamEvent.ThreadMessageInProgress + | MessageStreamEvent.ThreadMessageDelta + | MessageStreamEvent.ThreadMessageCompleted + | MessageStreamEvent.ThreadMessageIncomplete; + +export namespace MessageStreamEvent { + /** + * Occurs when a + * [message](https://platform.openai.com/docs/api-reference/messages/object) is + * created. + */ + export interface ThreadMessageCreated { + /** + * Represents a message within a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: MessagesAPI.Message; + + event: 'thread.message.created'; + } + + /** + * Occurs when a + * [message](https://platform.openai.com/docs/api-reference/messages/object) moves + * to an `in_progress` state. + */ + export interface ThreadMessageInProgress { + /** + * Represents a message within a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: MessagesAPI.Message; + + event: 'thread.message.in_progress'; + } + + /** + * Occurs when parts of a + * [Message](https://platform.openai.com/docs/api-reference/messages/object) are + * being streamed. + */ + export interface ThreadMessageDelta { + /** + * Represents a message delta i.e. any changed fields on a message during + * streaming. + */ + data: MessagesAPI.MessageDeltaEvent; + + event: 'thread.message.delta'; + } + + /** + * Occurs when a + * [message](https://platform.openai.com/docs/api-reference/messages/object) is + * completed. + */ + export interface ThreadMessageCompleted { + /** + * Represents a message within a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: MessagesAPI.Message; + + event: 'thread.message.completed'; + } + + /** + * Occurs when a + * [message](https://platform.openai.com/docs/api-reference/messages/object) ends + * before it is completed. + */ + export interface ThreadMessageIncomplete { + /** + * Represents a message within a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: MessagesAPI.Message; + + event: 'thread.message.incomplete'; + } +} + +/** + * Occurs when a + * [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) + * is created. + */ +export type RunStepStreamEvent = + | RunStepStreamEvent.ThreadRunStepCreated + | RunStepStreamEvent.ThreadRunStepInProgress + | RunStepStreamEvent.ThreadRunStepDelta + | RunStepStreamEvent.ThreadRunStepCompleted + | RunStepStreamEvent.ThreadRunStepFailed + | RunStepStreamEvent.ThreadRunStepCancelled + | RunStepStreamEvent.ThreadRunStepExpired; + +export namespace RunStepStreamEvent { + /** + * Occurs when a + * [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) + * is created. + */ + export interface ThreadRunStepCreated { + /** + * Represents a step in execution of a run. + */ + data: StepsAPI.RunStep; + + event: 'thread.run.step.created'; + } + + /** + * Occurs when a + * [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) + * moves to an `in_progress` state. + */ + export interface ThreadRunStepInProgress { + /** + * Represents a step in execution of a run. + */ + data: StepsAPI.RunStep; + + event: 'thread.run.step.in_progress'; + } + + /** + * Occurs when parts of a + * [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) + * are being streamed. + */ + export interface ThreadRunStepDelta { + /** + * Represents a run step delta i.e. any changed fields on a run step during + * streaming. + */ + data: StepsAPI.RunStepDeltaEvent; + + event: 'thread.run.step.delta'; + } + + /** + * Occurs when a + * [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) + * is completed. + */ + export interface ThreadRunStepCompleted { + /** + * Represents a step in execution of a run. + */ + data: StepsAPI.RunStep; + + event: 'thread.run.step.completed'; + } + + /** + * Occurs when a + * [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) + * fails. + */ + export interface ThreadRunStepFailed { + /** + * Represents a step in execution of a run. + */ + data: StepsAPI.RunStep; + + event: 'thread.run.step.failed'; + } + + /** + * Occurs when a + * [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) + * is cancelled. + */ + export interface ThreadRunStepCancelled { + /** + * Represents a step in execution of a run. + */ + data: StepsAPI.RunStep; + + event: 'thread.run.step.cancelled'; + } + + /** + * Occurs when a + * [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object) + * expires. + */ + export interface ThreadRunStepExpired { + /** + * Represents a step in execution of a run. + */ + data: StepsAPI.RunStep; + + event: 'thread.run.step.expired'; + } +} + +/** + * Occurs when a new + * [run](https://platform.openai.com/docs/api-reference/runs/object) is created. + */ +export type RunStreamEvent = + | RunStreamEvent.ThreadRunCreated + | RunStreamEvent.ThreadRunQueued + | RunStreamEvent.ThreadRunInProgress + | RunStreamEvent.ThreadRunRequiresAction + | RunStreamEvent.ThreadRunCompleted + | RunStreamEvent.ThreadRunIncomplete + | RunStreamEvent.ThreadRunFailed + | RunStreamEvent.ThreadRunCancelling + | RunStreamEvent.ThreadRunCancelled + | RunStreamEvent.ThreadRunExpired; + +export namespace RunStreamEvent { + /** + * Occurs when a new + * [run](https://platform.openai.com/docs/api-reference/runs/object) is created. + */ + export interface ThreadRunCreated { + /** + * Represents an execution run on a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: RunsAPI.Run; + + event: 'thread.run.created'; + } + + /** + * Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) + * moves to a `queued` status. + */ + export interface ThreadRunQueued { + /** + * Represents an execution run on a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: RunsAPI.Run; + + event: 'thread.run.queued'; + } + + /** + * Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) + * moves to an `in_progress` status. + */ + export interface ThreadRunInProgress { + /** + * Represents an execution run on a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: RunsAPI.Run; + + event: 'thread.run.in_progress'; + } + + /** + * Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) + * moves to a `requires_action` status. + */ + export interface ThreadRunRequiresAction { + /** + * Represents an execution run on a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: RunsAPI.Run; + + event: 'thread.run.requires_action'; + } + + /** + * Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) + * is completed. + */ + export interface ThreadRunCompleted { + /** + * Represents an execution run on a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: RunsAPI.Run; + + event: 'thread.run.completed'; + } + + /** + * Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) + * ends with status `incomplete`. + */ + export interface ThreadRunIncomplete { + /** + * Represents an execution run on a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: RunsAPI.Run; + + event: 'thread.run.incomplete'; + } + + /** + * Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) + * fails. + */ + export interface ThreadRunFailed { + /** + * Represents an execution run on a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: RunsAPI.Run; + + event: 'thread.run.failed'; + } + + /** + * Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) + * moves to a `cancelling` status. + */ + export interface ThreadRunCancelling { + /** + * Represents an execution run on a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: RunsAPI.Run; + + event: 'thread.run.cancelling'; + } + + /** + * Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) + * is cancelled. + */ + export interface ThreadRunCancelled { + /** + * Represents an execution run on a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: RunsAPI.Run; + + event: 'thread.run.cancelled'; + } + + /** + * Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object) + * expires. + */ + export interface ThreadRunExpired { + /** + * Represents an execution run on a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ + data: RunsAPI.Run; + + event: 'thread.run.expired'; + } +} + +/** + * Occurs when a new + * [thread](https://platform.openai.com/docs/api-reference/threads/object) is + * created. + */ +export interface ThreadStreamEvent { + /** + * Represents a thread that contains + * [messages](https://platform.openai.com/docs/api-reference/messages). + */ + data: ThreadsAPI.Thread; + + event: 'thread.created'; + + /** + * Whether to enable input audio transcription. + */ + enabled?: boolean; +} + +export interface AssistantCreateParams { + /** + * ID of the model to use. You can use the + * [List models](https://platform.openai.com/docs/api-reference/models/list) API to + * see all of your available models, or see our + * [Model overview](https://platform.openai.com/docs/models) for descriptions of + * them. + */ + model: (string & {}) | Shared.ChatModel; + + /** + * The description of the assistant. The maximum length is 512 characters. + */ + description?: string | null; + + /** + * The system instructions that the assistant uses. The maximum length is 256,000 + * characters. + */ + instructions?: string | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + + /** + * The name of the assistant. The maximum length is 256 characters. + */ + name?: string | null; + + /** + * **o-series models only** + * + * Constrains effort on reasoning for + * [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently + * supported values are `low`, `medium`, and `high`. Reducing reasoning effort can + * result in faster responses and fewer tokens used on reasoning in a response. + */ + reasoning_effort?: Shared.ReasoningEffort | null; + + /** + * Specifies the format that the model must output. Compatible with + * [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), + * [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4), + * and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`. + * + * Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured + * Outputs which ensures the model will match your supplied JSON schema. Learn more + * in the + * [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). + * + * Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the + * message the model generates is valid JSON. + * + * **Important:** when using JSON mode, you **must** also instruct the model to + * produce JSON yourself via a system or user message. Without this, the model may + * generate an unending stream of whitespace until the generation reaches the token + * limit, resulting in a long-running and seemingly "stuck" request. Also note that + * the message content may be partially cut off if `finish_reason="length"`, which + * indicates the generation exceeded `max_tokens` or the conversation exceeded the + * max context length. + */ + response_format?: ThreadsAPI.AssistantResponseFormatOption | null; + + /** + * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will + * make the output more random, while lower values like 0.2 will make it more + * focused and deterministic. + */ + temperature?: number | null; + + /** + * A set of resources that are used by the assistant's tools. The resources are + * specific to the type of tool. For example, the `code_interpreter` tool requires + * a list of file IDs, while the `file_search` tool requires a list of vector store + * IDs. + */ + tool_resources?: AssistantCreateParams.ToolResources | null; + + /** + * A list of tool enabled on the assistant. There can be a maximum of 128 tools per + * assistant. Tools can be of types `code_interpreter`, `file_search`, or + * `function`. + */ + tools?: Array; + + /** + * An alternative to sampling with temperature, called nucleus sampling, where the + * model considers the results of the tokens with top_p probability mass. So 0.1 + * means only the tokens comprising the top 10% probability mass are considered. + * + * We generally recommend altering this or temperature but not both. + */ + top_p?: number | null; +} + +export namespace AssistantCreateParams { + /** + * A set of resources that are used by the assistant's tools. The resources are + * specific to the type of tool. For example, the `code_interpreter` tool requires + * a list of file IDs, while the `file_search` tool requires a list of vector store + * IDs. + */ + export interface ToolResources { + code_interpreter?: ToolResources.CodeInterpreter; + + file_search?: ToolResources.FileSearch; + } + + export namespace ToolResources { + export interface CodeInterpreter { + /** + * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made + * available to the `code_interpreter` tool. There can be a maximum of 20 files + * associated with the tool. + */ + file_ids?: Array; + } + + export interface FileSearch { + /** + * The + * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) + * attached to this assistant. There can be a maximum of 1 vector store attached to + * the assistant. + */ + vector_store_ids?: Array; + + /** + * A helper to create a + * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) + * with file_ids and attach it to this assistant. There can be a maximum of 1 + * vector store attached to the assistant. + */ + vector_stores?: Array; + } + + export namespace FileSearch { + export interface VectorStore { + /** + * The chunking strategy used to chunk the file(s). If not set, will use the `auto` + * strategy. + */ + chunking_strategy?: VectorStore.Auto | VectorStore.Static; + + /** + * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs to + * add to the vector store. There can be a maximum of 10000 files in a vector + * store. + */ + file_ids?: Array; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + } + + export namespace VectorStore { + /** + * The default strategy. This strategy currently uses a `max_chunk_size_tokens` of + * `800` and `chunk_overlap_tokens` of `400`. + */ + export interface Auto { + /** + * Always `auto`. + */ + type: 'auto'; + } + + export interface Static { + static: Static.Static; + + /** + * Always `static`. + */ + type: 'static'; + } + + export namespace Static { + export interface Static { + /** + * The number of tokens that overlap between chunks. The default value is `400`. + * + * Note that the overlap must not exceed half of `max_chunk_size_tokens`. + */ + chunk_overlap_tokens: number; + + /** + * The maximum number of tokens in each chunk. The default value is `800`. The + * minimum value is `100` and the maximum value is `4096`. + */ + max_chunk_size_tokens: number; + } + } + } + } + } +} + +export interface AssistantUpdateParams { + /** + * The description of the assistant. The maximum length is 512 characters. + */ + description?: string | null; + + /** + * The system instructions that the assistant uses. The maximum length is 256,000 + * characters. + */ + instructions?: string | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + + /** + * ID of the model to use. You can use the + * [List models](https://platform.openai.com/docs/api-reference/models/list) API to + * see all of your available models, or see our + * [Model overview](https://platform.openai.com/docs/models) for descriptions of + * them. + */ + model?: + | (string & {}) + | 'gpt-4.1' + | 'gpt-4.1-mini' + | 'gpt-4.1-nano' + | 'gpt-4.1-2025-04-14' + | 'gpt-4.1-mini-2025-04-14' + | 'gpt-4.1-nano-2025-04-14' + | 'o3-mini' + | 'o3-mini-2025-01-31' + | 'o1' + | 'o1-2024-12-17' + | 'gpt-4o' + | 'gpt-4o-2024-11-20' + | 'gpt-4o-2024-08-06' + | 'gpt-4o-2024-05-13' + | 'gpt-4o-mini' + | 'gpt-4o-mini-2024-07-18' + | 'gpt-4.5-preview' + | 'gpt-4.5-preview-2025-02-27' + | 'gpt-4-turbo' + | 'gpt-4-turbo-2024-04-09' + | 'gpt-4-0125-preview' + | 'gpt-4-turbo-preview' + | 'gpt-4-1106-preview' + | 'gpt-4-vision-preview' + | 'gpt-4' + | 'gpt-4-0314' + | 'gpt-4-0613' + | 'gpt-4-32k' + | 'gpt-4-32k-0314' + | 'gpt-4-32k-0613' + | 'gpt-3.5-turbo' + | 'gpt-3.5-turbo-16k' + | 'gpt-3.5-turbo-0613' + | 'gpt-3.5-turbo-1106' + | 'gpt-3.5-turbo-0125' + | 'gpt-3.5-turbo-16k-0613'; + + /** + * The name of the assistant. The maximum length is 256 characters. + */ + name?: string | null; + + /** + * **o-series models only** + * + * Constrains effort on reasoning for + * [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently + * supported values are `low`, `medium`, and `high`. Reducing reasoning effort can + * result in faster responses and fewer tokens used on reasoning in a response. + */ + reasoning_effort?: Shared.ReasoningEffort | null; + + /** + * Specifies the format that the model must output. Compatible with + * [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), + * [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4), + * and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`. + * + * Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured + * Outputs which ensures the model will match your supplied JSON schema. Learn more + * in the + * [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). + * + * Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the + * message the model generates is valid JSON. + * + * **Important:** when using JSON mode, you **must** also instruct the model to + * produce JSON yourself via a system or user message. Without this, the model may + * generate an unending stream of whitespace until the generation reaches the token + * limit, resulting in a long-running and seemingly "stuck" request. Also note that + * the message content may be partially cut off if `finish_reason="length"`, which + * indicates the generation exceeded `max_tokens` or the conversation exceeded the + * max context length. + */ + response_format?: ThreadsAPI.AssistantResponseFormatOption | null; + + /** + * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will + * make the output more random, while lower values like 0.2 will make it more + * focused and deterministic. + */ + temperature?: number | null; + + /** + * A set of resources that are used by the assistant's tools. The resources are + * specific to the type of tool. For example, the `code_interpreter` tool requires + * a list of file IDs, while the `file_search` tool requires a list of vector store + * IDs. + */ + tool_resources?: AssistantUpdateParams.ToolResources | null; + + /** + * A list of tool enabled on the assistant. There can be a maximum of 128 tools per + * assistant. Tools can be of types `code_interpreter`, `file_search`, or + * `function`. + */ + tools?: Array; + + /** + * An alternative to sampling with temperature, called nucleus sampling, where the + * model considers the results of the tokens with top_p probability mass. So 0.1 + * means only the tokens comprising the top 10% probability mass are considered. + * + * We generally recommend altering this or temperature but not both. + */ + top_p?: number | null; +} + +export namespace AssistantUpdateParams { + /** + * A set of resources that are used by the assistant's tools. The resources are + * specific to the type of tool. For example, the `code_interpreter` tool requires + * a list of file IDs, while the `file_search` tool requires a list of vector store + * IDs. + */ + export interface ToolResources { + code_interpreter?: ToolResources.CodeInterpreter; + + file_search?: ToolResources.FileSearch; + } + + export namespace ToolResources { + export interface CodeInterpreter { + /** + * Overrides the list of + * [file](https://platform.openai.com/docs/api-reference/files) IDs made available + * to the `code_interpreter` tool. There can be a maximum of 20 files associated + * with the tool. + */ + file_ids?: Array; + } + + export interface FileSearch { + /** + * Overrides the + * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) + * attached to this assistant. There can be a maximum of 1 vector store attached to + * the assistant. + */ + vector_store_ids?: Array; + } + } +} + +export interface AssistantListParams extends CursorPageParams { + /** + * A cursor for use in pagination. `before` is an object ID that defines your place + * in the list. For instance, if you make a list request and receive 100 objects, + * starting with obj_foo, your subsequent call can include before=obj_foo in order + * to fetch the previous page of the list. + */ + before?: string; + + /** + * Sort order by the `created_at` timestamp of the objects. `asc` for ascending + * order and `desc` for descending order. + */ + order?: 'asc' | 'desc'; +} + +Assistants.AssistantsPage = AssistantsPage; + +export declare namespace Assistants { + export { + type Assistant as Assistant, + type AssistantDeleted as AssistantDeleted, + type AssistantStreamEvent as AssistantStreamEvent, + type AssistantTool as AssistantTool, + type CodeInterpreterTool as CodeInterpreterTool, + type FileSearchTool as FileSearchTool, + type FunctionTool as FunctionTool, + type MessageStreamEvent as MessageStreamEvent, + type RunStepStreamEvent as RunStepStreamEvent, + type RunStreamEvent as RunStreamEvent, + type ThreadStreamEvent as ThreadStreamEvent, + AssistantsPage as AssistantsPage, + type AssistantCreateParams as AssistantCreateParams, + type AssistantUpdateParams as AssistantUpdateParams, + type AssistantListParams as AssistantListParams, + }; + + export { AssistantStream }; +} diff --git a/src/resources/beta/beta.ts b/src/resources/beta/beta.ts new file mode 100644 index 000000000..6282d4593 --- /dev/null +++ b/src/resources/beta/beta.ts @@ -0,0 +1,199 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../resource'; +import * as AssistantsAPI from './assistants'; +import * as ChatAPI from './chat/chat'; +import { + Assistant, + AssistantCreateParams, + AssistantDeleted, + AssistantListParams, + AssistantStreamEvent, + AssistantTool, + AssistantUpdateParams, + Assistants, + AssistantsPage, + CodeInterpreterTool, + FileSearchTool, + FunctionTool, + MessageStreamEvent, + RunStepStreamEvent, + RunStreamEvent, + ThreadStreamEvent, +} from './assistants'; +import * as RealtimeAPI from './realtime/realtime'; +import { + ConversationCreatedEvent, + ConversationItem, + ConversationItemContent, + ConversationItemCreateEvent, + ConversationItemCreatedEvent, + ConversationItemDeleteEvent, + ConversationItemDeletedEvent, + ConversationItemInputAudioTranscriptionCompletedEvent, + ConversationItemInputAudioTranscriptionDeltaEvent, + ConversationItemInputAudioTranscriptionFailedEvent, + ConversationItemRetrieveEvent, + ConversationItemTruncateEvent, + ConversationItemTruncatedEvent, + ConversationItemWithReference, + ErrorEvent, + InputAudioBufferAppendEvent, + InputAudioBufferClearEvent, + InputAudioBufferClearedEvent, + InputAudioBufferCommitEvent, + InputAudioBufferCommittedEvent, + InputAudioBufferSpeechStartedEvent, + InputAudioBufferSpeechStoppedEvent, + RateLimitsUpdatedEvent, + Realtime, + RealtimeClientEvent, + RealtimeResponse, + RealtimeResponseStatus, + RealtimeResponseUsage, + RealtimeServerEvent, + ResponseAudioDeltaEvent, + ResponseAudioDoneEvent, + ResponseAudioTranscriptDeltaEvent, + ResponseAudioTranscriptDoneEvent, + ResponseCancelEvent, + ResponseContentPartAddedEvent, + ResponseContentPartDoneEvent, + ResponseCreateEvent, + ResponseCreatedEvent, + ResponseDoneEvent, + ResponseFunctionCallArgumentsDeltaEvent, + ResponseFunctionCallArgumentsDoneEvent, + ResponseOutputItemAddedEvent, + ResponseOutputItemDoneEvent, + ResponseTextDeltaEvent, + ResponseTextDoneEvent, + SessionCreatedEvent, + SessionUpdateEvent, + SessionUpdatedEvent, + TranscriptionSessionUpdate, + TranscriptionSessionUpdatedEvent, +} from './realtime/realtime'; +import * as ThreadsAPI from './threads/threads'; +import { + AssistantResponseFormatOption, + AssistantToolChoice, + AssistantToolChoiceFunction, + AssistantToolChoiceOption, + Thread, + ThreadCreateAndRunParams, + ThreadCreateAndRunParamsNonStreaming, + ThreadCreateAndRunParamsStreaming, + ThreadCreateAndRunPollParams, + ThreadCreateAndRunStreamParams, + ThreadCreateParams, + ThreadDeleted, + ThreadUpdateParams, + Threads, +} from './threads/threads'; +import { Chat } from './chat/chat'; + +export class Beta extends APIResource { + realtime: RealtimeAPI.Realtime = new RealtimeAPI.Realtime(this._client); + chat: ChatAPI.Chat = new ChatAPI.Chat(this._client); + assistants: AssistantsAPI.Assistants = new AssistantsAPI.Assistants(this._client); + threads: ThreadsAPI.Threads = new ThreadsAPI.Threads(this._client); +} + +Beta.Realtime = Realtime; +Beta.Assistants = Assistants; +Beta.AssistantsPage = AssistantsPage; +Beta.Threads = Threads; + +export declare namespace Beta { + export { + Realtime as Realtime, + type ConversationCreatedEvent as ConversationCreatedEvent, + type ConversationItem as ConversationItem, + type ConversationItemContent as ConversationItemContent, + type ConversationItemCreateEvent as ConversationItemCreateEvent, + type ConversationItemCreatedEvent as ConversationItemCreatedEvent, + type ConversationItemDeleteEvent as ConversationItemDeleteEvent, + type ConversationItemDeletedEvent as ConversationItemDeletedEvent, + type ConversationItemInputAudioTranscriptionCompletedEvent as ConversationItemInputAudioTranscriptionCompletedEvent, + type ConversationItemInputAudioTranscriptionDeltaEvent as ConversationItemInputAudioTranscriptionDeltaEvent, + type ConversationItemInputAudioTranscriptionFailedEvent as ConversationItemInputAudioTranscriptionFailedEvent, + type ConversationItemRetrieveEvent as ConversationItemRetrieveEvent, + type ConversationItemTruncateEvent as ConversationItemTruncateEvent, + type ConversationItemTruncatedEvent as ConversationItemTruncatedEvent, + type ConversationItemWithReference as ConversationItemWithReference, + type ErrorEvent as ErrorEvent, + type InputAudioBufferAppendEvent as InputAudioBufferAppendEvent, + type InputAudioBufferClearEvent as InputAudioBufferClearEvent, + type InputAudioBufferClearedEvent as InputAudioBufferClearedEvent, + type InputAudioBufferCommitEvent as InputAudioBufferCommitEvent, + type InputAudioBufferCommittedEvent as InputAudioBufferCommittedEvent, + type InputAudioBufferSpeechStartedEvent as InputAudioBufferSpeechStartedEvent, + type InputAudioBufferSpeechStoppedEvent as InputAudioBufferSpeechStoppedEvent, + type RateLimitsUpdatedEvent as RateLimitsUpdatedEvent, + type RealtimeClientEvent as RealtimeClientEvent, + type RealtimeResponse as RealtimeResponse, + type RealtimeResponseStatus as RealtimeResponseStatus, + type RealtimeResponseUsage as RealtimeResponseUsage, + type RealtimeServerEvent as RealtimeServerEvent, + type ResponseAudioDeltaEvent as ResponseAudioDeltaEvent, + type ResponseAudioDoneEvent as ResponseAudioDoneEvent, + type ResponseAudioTranscriptDeltaEvent as ResponseAudioTranscriptDeltaEvent, + type ResponseAudioTranscriptDoneEvent as ResponseAudioTranscriptDoneEvent, + type ResponseCancelEvent as ResponseCancelEvent, + type ResponseContentPartAddedEvent as ResponseContentPartAddedEvent, + type ResponseContentPartDoneEvent as ResponseContentPartDoneEvent, + type ResponseCreateEvent as ResponseCreateEvent, + type ResponseCreatedEvent as ResponseCreatedEvent, + type ResponseDoneEvent as ResponseDoneEvent, + type ResponseFunctionCallArgumentsDeltaEvent as ResponseFunctionCallArgumentsDeltaEvent, + type ResponseFunctionCallArgumentsDoneEvent as ResponseFunctionCallArgumentsDoneEvent, + type ResponseOutputItemAddedEvent as ResponseOutputItemAddedEvent, + type ResponseOutputItemDoneEvent as ResponseOutputItemDoneEvent, + type ResponseTextDeltaEvent as ResponseTextDeltaEvent, + type ResponseTextDoneEvent as ResponseTextDoneEvent, + type SessionCreatedEvent as SessionCreatedEvent, + type SessionUpdateEvent as SessionUpdateEvent, + type SessionUpdatedEvent as SessionUpdatedEvent, + type TranscriptionSessionUpdate as TranscriptionSessionUpdate, + type TranscriptionSessionUpdatedEvent as TranscriptionSessionUpdatedEvent, + }; + + export { Chat }; + + export { + Assistants as Assistants, + type Assistant as Assistant, + type AssistantDeleted as AssistantDeleted, + type AssistantStreamEvent as AssistantStreamEvent, + type AssistantTool as AssistantTool, + type CodeInterpreterTool as CodeInterpreterTool, + type FileSearchTool as FileSearchTool, + type FunctionTool as FunctionTool, + type MessageStreamEvent as MessageStreamEvent, + type RunStepStreamEvent as RunStepStreamEvent, + type RunStreamEvent as RunStreamEvent, + type ThreadStreamEvent as ThreadStreamEvent, + AssistantsPage as AssistantsPage, + type AssistantCreateParams as AssistantCreateParams, + type AssistantUpdateParams as AssistantUpdateParams, + type AssistantListParams as AssistantListParams, + }; + + export { + Threads as Threads, + type AssistantResponseFormatOption as AssistantResponseFormatOption, + type AssistantToolChoice as AssistantToolChoice, + type AssistantToolChoiceFunction as AssistantToolChoiceFunction, + type AssistantToolChoiceOption as AssistantToolChoiceOption, + type Thread as Thread, + type ThreadDeleted as ThreadDeleted, + type ThreadCreateParams as ThreadCreateParams, + type ThreadUpdateParams as ThreadUpdateParams, + type ThreadCreateAndRunParams as ThreadCreateAndRunParams, + type ThreadCreateAndRunParamsNonStreaming as ThreadCreateAndRunParamsNonStreaming, + type ThreadCreateAndRunParamsStreaming as ThreadCreateAndRunParamsStreaming, + type ThreadCreateAndRunPollParams, + type ThreadCreateAndRunStreamParams, + }; +} diff --git a/src/resources/beta/chat/chat.ts b/src/resources/beta/chat/chat.ts new file mode 100644 index 000000000..110ae46cb --- /dev/null +++ b/src/resources/beta/chat/chat.ts @@ -0,0 +1,12 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../../resource'; +import * as CompletionsAPI from './completions'; + +export class Chat extends APIResource { + completions: CompletionsAPI.Completions = new CompletionsAPI.Completions(this._client); +} + +export namespace Chat { + export import Completions = CompletionsAPI.Completions; +} diff --git a/src/resources/beta/chat/completions.ts b/src/resources/beta/chat/completions.ts new file mode 100644 index 000000000..083b9914e --- /dev/null +++ b/src/resources/beta/chat/completions.ts @@ -0,0 +1,161 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import * as Core from '../../../core'; +import { APIResource } from '../../../resource'; +import { ChatCompletionRunner, ChatCompletionFunctionRunnerParams } from '../../../lib/ChatCompletionRunner'; +import { + ChatCompletionStreamingRunner, + ChatCompletionStreamingFunctionRunnerParams, +} from '../../../lib/ChatCompletionStreamingRunner'; +import { BaseFunctionsArgs } from '../../../lib/RunnableFunction'; +import { RunnerOptions } from '../../../lib/AbstractChatCompletionRunner'; +import { ChatCompletionToolRunnerParams } from '../../../lib/ChatCompletionRunner'; +import { ChatCompletionStreamingToolRunnerParams } from '../../../lib/ChatCompletionStreamingRunner'; +import { ChatCompletionStream, type ChatCompletionStreamParams } from '../../../lib/ChatCompletionStream'; +import { + ChatCompletion, + ChatCompletionCreateParamsNonStreaming, + ChatCompletionMessage, + ChatCompletionMessageToolCall, +} from '../../chat/completions'; +import { ExtractParsedContentFromParams, parseChatCompletion, validateInputTools } from '../../../lib/parser'; + +export { + ChatCompletionStreamingRunner, + type ChatCompletionStreamingFunctionRunnerParams, +} from '../../../lib/ChatCompletionStreamingRunner'; +export { + type RunnableFunction, + type RunnableFunctions, + type RunnableFunctionWithParse, + type RunnableFunctionWithoutParse, + ParsingFunction, + ParsingToolFunction, +} from '../../../lib/RunnableFunction'; +export { type ChatCompletionToolRunnerParams } from '../../../lib/ChatCompletionRunner'; +export { type ChatCompletionStreamingToolRunnerParams } from '../../../lib/ChatCompletionStreamingRunner'; +export { ChatCompletionStream, type ChatCompletionStreamParams } from '../../../lib/ChatCompletionStream'; +export { + ChatCompletionRunner, + type ChatCompletionFunctionRunnerParams, +} from '../../../lib/ChatCompletionRunner'; + +export interface ParsedFunction extends ChatCompletionMessageToolCall.Function { + parsed_arguments?: unknown; +} + +export interface ParsedFunctionToolCall extends ChatCompletionMessageToolCall { + function: ParsedFunction; +} + +export interface ParsedChatCompletionMessage extends ChatCompletionMessage { + parsed: ParsedT | null; + tool_calls?: Array; +} + +export interface ParsedChoice extends ChatCompletion.Choice { + message: ParsedChatCompletionMessage; +} + +export interface ParsedChatCompletion extends ChatCompletion { + choices: Array>; +} + +export type ChatCompletionParseParams = ChatCompletionCreateParamsNonStreaming; + +export class Completions extends APIResource { + parse>( + body: Params, + options?: Core.RequestOptions, + ): Core.APIPromise> { + validateInputTools(body.tools); + + return this._client.chat.completions + .create(body, { + ...options, + headers: { + ...options?.headers, + 'X-Stainless-Helper-Method': 'beta.chat.completions.parse', + }, + }) + ._thenUnwrap((completion) => parseChatCompletion(completion, body)); + } + + /** + * @deprecated - use `runTools` instead. + */ + runFunctions( + body: ChatCompletionFunctionRunnerParams, + options?: Core.RequestOptions, + ): ChatCompletionRunner; + runFunctions( + body: ChatCompletionStreamingFunctionRunnerParams, + options?: Core.RequestOptions, + ): ChatCompletionStreamingRunner; + runFunctions( + body: + | ChatCompletionFunctionRunnerParams + | ChatCompletionStreamingFunctionRunnerParams, + options?: Core.RequestOptions, + ): ChatCompletionRunner | ChatCompletionStreamingRunner { + if (body.stream) { + return ChatCompletionStreamingRunner.runFunctions( + this._client, + body as ChatCompletionStreamingFunctionRunnerParams, + options, + ); + } + return ChatCompletionRunner.runFunctions( + this._client, + body as ChatCompletionFunctionRunnerParams, + options, + ); + } + + /** + * A convenience helper for using tool calls with the /chat/completions endpoint + * which automatically calls the JavaScript functions you provide and sends their + * results back to the /chat/completions endpoint, looping as long as the model + * requests function calls. + * + * For more details and examples, see + * [the docs](https://github.com/openai/openai-node#automated-function-calls) + */ + runTools< + Params extends ChatCompletionToolRunnerParams, + ParsedT = ExtractParsedContentFromParams, + >(body: Params, options?: RunnerOptions): ChatCompletionRunner; + + runTools< + Params extends ChatCompletionStreamingToolRunnerParams, + ParsedT = ExtractParsedContentFromParams, + >(body: Params, options?: RunnerOptions): ChatCompletionStreamingRunner; + + runTools< + Params extends ChatCompletionToolRunnerParams | ChatCompletionStreamingToolRunnerParams, + ParsedT = ExtractParsedContentFromParams, + >( + body: Params, + options?: RunnerOptions, + ): ChatCompletionRunner | ChatCompletionStreamingRunner { + if (body.stream) { + return ChatCompletionStreamingRunner.runTools( + this._client, + body as ChatCompletionStreamingToolRunnerParams, + options, + ); + } + + return ChatCompletionRunner.runTools(this._client, body as ChatCompletionToolRunnerParams, options); + } + + /** + * Creates a chat completion stream + */ + stream>( + body: Params, + options?: Core.RequestOptions, + ): ChatCompletionStream { + return ChatCompletionStream.createChatCompletion(this._client, body, options); + } +} diff --git a/src/resources/beta/chat/index.ts b/src/resources/beta/chat/index.ts new file mode 100644 index 000000000..23b1b8ff3 --- /dev/null +++ b/src/resources/beta/chat/index.ts @@ -0,0 +1,4 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +export { Chat } from './chat'; +export { Completions } from './completions'; diff --git a/src/resources/beta/index.ts b/src/resources/beta/index.ts new file mode 100644 index 000000000..b9cef17cb --- /dev/null +++ b/src/resources/beta/index.ts @@ -0,0 +1,39 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +export { + AssistantsPage, + Assistants, + type Assistant, + type AssistantDeleted, + type AssistantStreamEvent, + type AssistantTool, + type CodeInterpreterTool, + type FileSearchTool, + type FunctionTool, + type MessageStreamEvent, + type RunStepStreamEvent, + type RunStreamEvent, + type ThreadStreamEvent, + type AssistantCreateParams, + type AssistantUpdateParams, + type AssistantListParams, +} from './assistants'; +export { Beta } from './beta'; +export { Realtime } from './realtime/index'; +export { Chat } from './chat/index'; +export { + Threads, + type AssistantResponseFormatOption, + type AssistantToolChoice, + type AssistantToolChoiceFunction, + type AssistantToolChoiceOption, + type Thread, + type ThreadDeleted, + type ThreadCreateParams, + type ThreadUpdateParams, + type ThreadCreateAndRunParams, + type ThreadCreateAndRunParamsNonStreaming, + type ThreadCreateAndRunParamsStreaming, + type ThreadCreateAndRunPollParams, + type ThreadCreateAndRunStreamParams, +} from './threads/index'; diff --git a/src/resources/beta/realtime/index.ts b/src/resources/beta/realtime/index.ts new file mode 100644 index 000000000..ba51d8a66 --- /dev/null +++ b/src/resources/beta/realtime/index.ts @@ -0,0 +1,9 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +export { Realtime } from './realtime'; +export { Sessions, type Session, type SessionCreateResponse, type SessionCreateParams } from './sessions'; +export { + TranscriptionSessions, + type TranscriptionSession, + type TranscriptionSessionCreateParams, +} from './transcription-sessions'; diff --git a/src/resources/beta/realtime/realtime.ts b/src/resources/beta/realtime/realtime.ts new file mode 100644 index 000000000..26fba883e --- /dev/null +++ b/src/resources/beta/realtime/realtime.ts @@ -0,0 +1,2653 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../../resource'; +import * as RealtimeAPI from './realtime'; +import * as Shared from '../../shared'; +import * as SessionsAPI from './sessions'; +import { + Session as SessionsAPISession, + SessionCreateParams, + SessionCreateResponse, + Sessions, +} from './sessions'; +import * as TranscriptionSessionsAPI from './transcription-sessions'; +import { + TranscriptionSession, + TranscriptionSessionCreateParams, + TranscriptionSessions, +} from './transcription-sessions'; + +export class Realtime extends APIResource { + sessions: SessionsAPI.Sessions = new SessionsAPI.Sessions(this._client); + transcriptionSessions: TranscriptionSessionsAPI.TranscriptionSessions = + new TranscriptionSessionsAPI.TranscriptionSessions(this._client); +} + +/** + * Returned when a conversation is created. Emitted right after session creation. + */ +export interface ConversationCreatedEvent { + /** + * The conversation resource. + */ + conversation: ConversationCreatedEvent.Conversation; + + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The event type, must be `conversation.created`. + */ + type: 'conversation.created'; +} + +export namespace ConversationCreatedEvent { + /** + * The conversation resource. + */ + export interface Conversation { + /** + * The unique ID of the conversation. + */ + id?: string; + + /** + * The object type, must be `realtime.conversation`. + */ + object?: 'realtime.conversation'; + } +} + +/** + * The item to add to the conversation. + */ +export interface ConversationItem { + /** + * The unique ID of the item, this can be generated by the client to help manage + * server-side context, but is not required because the server will generate one if + * not provided. + */ + id?: string; + + /** + * The arguments of the function call (for `function_call` items). + */ + arguments?: string; + + /** + * The ID of the function call (for `function_call` and `function_call_output` + * items). If passed on a `function_call_output` item, the server will check that a + * `function_call` item with the same ID exists in the conversation history. + */ + call_id?: string; + + /** + * The content of the message, applicable for `message` items. + * + * - Message items of role `system` support only `input_text` content + * - Message items of role `user` support `input_text` and `input_audio` content + * - Message items of role `assistant` support `text` content. + */ + content?: Array; + + /** + * The name of the function being called (for `function_call` items). + */ + name?: string; + + /** + * Identifier for the API object being returned - always `realtime.item`. + */ + object?: 'realtime.item'; + + /** + * The output of the function call (for `function_call_output` items). + */ + output?: string; + + /** + * The role of the message sender (`user`, `assistant`, `system`), only applicable + * for `message` items. + */ + role?: 'user' | 'assistant' | 'system'; + + /** + * The status of the item (`completed`, `incomplete`). These have no effect on the + * conversation, but are accepted for consistency with the + * `conversation.item.created` event. + */ + status?: 'completed' | 'incomplete'; + + /** + * The type of the item (`message`, `function_call`, `function_call_output`). + */ + type?: 'message' | 'function_call' | 'function_call_output'; +} + +export interface ConversationItemContent { + /** + * ID of a previous conversation item to reference (for `item_reference` content + * types in `response.create` events). These can reference both client and server + * created items. + */ + id?: string; + + /** + * Base64-encoded audio bytes, used for `input_audio` content type. + */ + audio?: string; + + /** + * The text content, used for `input_text` and `text` content types. + */ + text?: string; + + /** + * The transcript of the audio, used for `input_audio` content type. + */ + transcript?: string; + + /** + * The content type (`input_text`, `input_audio`, `item_reference`, `text`). + */ + type?: 'input_text' | 'input_audio' | 'item_reference' | 'text'; +} + +/** + * Add a new Item to the Conversation's context, including messages, function + * calls, and function call responses. This event can be used both to populate a + * "history" of the conversation and to add new items mid-stream, but has the + * current limitation that it cannot populate assistant audio messages. + * + * If successful, the server will respond with a `conversation.item.created` event, + * otherwise an `error` event will be sent. + */ +export interface ConversationItemCreateEvent { + /** + * The item to add to the conversation. + */ + item: ConversationItem; + + /** + * The event type, must be `conversation.item.create`. + */ + type: 'conversation.item.create'; + + /** + * Optional client-generated ID used to identify this event. + */ + event_id?: string; + + /** + * The ID of the preceding item after which the new item will be inserted. If not + * set, the new item will be appended to the end of the conversation. If set to + * `root`, the new item will be added to the beginning of the conversation. If set + * to an existing ID, it allows an item to be inserted mid-conversation. If the ID + * cannot be found, an error will be returned and the item will not be added. + */ + previous_item_id?: string; +} + +/** + * Returned when a conversation item is created. There are several scenarios that + * produce this event: + * + * - The server is generating a Response, which if successful will produce either + * one or two Items, which will be of type `message` (role `assistant`) or type + * `function_call`. + * - The input audio buffer has been committed, either by the client or the server + * (in `server_vad` mode). The server will take the content of the input audio + * buffer and add it to a new user message Item. + * - The client has sent a `conversation.item.create` event to add a new Item to + * the Conversation. + */ +export interface ConversationItemCreatedEvent { + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The item to add to the conversation. + */ + item: ConversationItem; + + /** + * The ID of the preceding item in the Conversation context, allows the client to + * understand the order of the conversation. + */ + previous_item_id: string; + + /** + * The event type, must be `conversation.item.created`. + */ + type: 'conversation.item.created'; +} + +/** + * Send this event when you want to remove any item from the conversation history. + * The server will respond with a `conversation.item.deleted` event, unless the + * item does not exist in the conversation history, in which case the server will + * respond with an error. + */ +export interface ConversationItemDeleteEvent { + /** + * The ID of the item to delete. + */ + item_id: string; + + /** + * The event type, must be `conversation.item.delete`. + */ + type: 'conversation.item.delete'; + + /** + * Optional client-generated ID used to identify this event. + */ + event_id?: string; +} + +/** + * Returned when an item in the conversation is deleted by the client with a + * `conversation.item.delete` event. This event is used to synchronize the server's + * understanding of the conversation history with the client's view. + */ +export interface ConversationItemDeletedEvent { + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The ID of the item that was deleted. + */ + item_id: string; + + /** + * The event type, must be `conversation.item.deleted`. + */ + type: 'conversation.item.deleted'; +} + +/** + * This event is the output of audio transcription for user audio written to the + * user audio buffer. Transcription begins when the input audio buffer is committed + * by the client or server (in `server_vad` mode). Transcription runs + * asynchronously with Response creation, so this event may come before or after + * the Response events. + * + * Realtime API models accept audio natively, and thus input transcription is a + * separate process run on a separate ASR (Automatic Speech Recognition) model, + * currently always `whisper-1`. Thus the transcript may diverge somewhat from the + * model's interpretation, and should be treated as a rough guide. + */ +export interface ConversationItemInputAudioTranscriptionCompletedEvent { + /** + * The index of the content part containing the audio. + */ + content_index: number; + + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The ID of the user message item containing the audio. + */ + item_id: string; + + /** + * The transcribed text. + */ + transcript: string; + + /** + * The event type, must be `conversation.item.input_audio_transcription.completed`. + */ + type: 'conversation.item.input_audio_transcription.completed'; + + /** + * The log probabilities of the transcription. + */ + logprobs?: Array | null; +} + +export namespace ConversationItemInputAudioTranscriptionCompletedEvent { + /** + * A log probability object. + */ + export interface Logprob { + /** + * The token that was used to generate the log probability. + */ + token: string; + + /** + * The bytes that were used to generate the log probability. + */ + bytes: Array; + + /** + * The log probability of the token. + */ + logprob: number; + } +} + +/** + * Returned when the text value of an input audio transcription content part is + * updated. + */ +export interface ConversationItemInputAudioTranscriptionDeltaEvent { + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The ID of the item. + */ + item_id: string; + + /** + * The event type, must be `conversation.item.input_audio_transcription.delta`. + */ + type: 'conversation.item.input_audio_transcription.delta'; + + /** + * The index of the content part in the item's content array. + */ + content_index?: number; + + /** + * The text delta. + */ + delta?: string; + + /** + * The log probabilities of the transcription. + */ + logprobs?: Array | null; +} + +export namespace ConversationItemInputAudioTranscriptionDeltaEvent { + /** + * A log probability object. + */ + export interface Logprob { + /** + * The token that was used to generate the log probability. + */ + token: string; + + /** + * The bytes that were used to generate the log probability. + */ + bytes: Array; + + /** + * The log probability of the token. + */ + logprob: number; + } +} + +/** + * Returned when input audio transcription is configured, and a transcription + * request for a user message failed. These events are separate from other `error` + * events so that the client can identify the related Item. + */ +export interface ConversationItemInputAudioTranscriptionFailedEvent { + /** + * The index of the content part containing the audio. + */ + content_index: number; + + /** + * Details of the transcription error. + */ + error: ConversationItemInputAudioTranscriptionFailedEvent.Error; + + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The ID of the user message item. + */ + item_id: string; + + /** + * The event type, must be `conversation.item.input_audio_transcription.failed`. + */ + type: 'conversation.item.input_audio_transcription.failed'; +} + +export namespace ConversationItemInputAudioTranscriptionFailedEvent { + /** + * Details of the transcription error. + */ + export interface Error { + /** + * Error code, if any. + */ + code?: string; + + /** + * A human-readable error message. + */ + message?: string; + + /** + * Parameter related to the error, if any. + */ + param?: string; + + /** + * The type of error. + */ + type?: string; + } +} + +/** + * Send this event when you want to retrieve the server's representation of a + * specific item in the conversation history. This is useful, for example, to + * inspect user audio after noise cancellation and VAD. The server will respond + * with a `conversation.item.retrieved` event, unless the item does not exist in + * the conversation history, in which case the server will respond with an error. + */ +export interface ConversationItemRetrieveEvent { + /** + * The ID of the item to retrieve. + */ + item_id: string; + + /** + * The event type, must be `conversation.item.retrieve`. + */ + type: 'conversation.item.retrieve'; + + /** + * Optional client-generated ID used to identify this event. + */ + event_id?: string; +} + +/** + * Send this event to truncate a previous assistant message’s audio. The server + * will produce audio faster than realtime, so this event is useful when the user + * interrupts to truncate audio that has already been sent to the client but not + * yet played. This will synchronize the server's understanding of the audio with + * the client's playback. + * + * Truncating audio will delete the server-side text transcript to ensure there is + * not text in the context that hasn't been heard by the user. + * + * If successful, the server will respond with a `conversation.item.truncated` + * event. + */ +export interface ConversationItemTruncateEvent { + /** + * Inclusive duration up to which audio is truncated, in milliseconds. If the + * audio_end_ms is greater than the actual audio duration, the server will respond + * with an error. + */ + audio_end_ms: number; + + /** + * The index of the content part to truncate. Set this to 0. + */ + content_index: number; + + /** + * The ID of the assistant message item to truncate. Only assistant message items + * can be truncated. + */ + item_id: string; + + /** + * The event type, must be `conversation.item.truncate`. + */ + type: 'conversation.item.truncate'; + + /** + * Optional client-generated ID used to identify this event. + */ + event_id?: string; +} + +/** + * Returned when an earlier assistant audio message item is truncated by the client + * with a `conversation.item.truncate` event. This event is used to synchronize the + * server's understanding of the audio with the client's playback. + * + * This action will truncate the audio and remove the server-side text transcript + * to ensure there is no text in the context that hasn't been heard by the user. + */ +export interface ConversationItemTruncatedEvent { + /** + * The duration up to which the audio was truncated, in milliseconds. + */ + audio_end_ms: number; + + /** + * The index of the content part that was truncated. + */ + content_index: number; + + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The ID of the assistant message item that was truncated. + */ + item_id: string; + + /** + * The event type, must be `conversation.item.truncated`. + */ + type: 'conversation.item.truncated'; +} + +/** + * The item to add to the conversation. + */ +export interface ConversationItemWithReference { + /** + * For an item of type (`message` | `function_call` | `function_call_output`) this + * field allows the client to assign the unique ID of the item. It is not required + * because the server will generate one if not provided. + * + * For an item of type `item_reference`, this field is required and is a reference + * to any item that has previously existed in the conversation. + */ + id?: string; + + /** + * The arguments of the function call (for `function_call` items). + */ + arguments?: string; + + /** + * The ID of the function call (for `function_call` and `function_call_output` + * items). If passed on a `function_call_output` item, the server will check that a + * `function_call` item with the same ID exists in the conversation history. + */ + call_id?: string; + + /** + * The content of the message, applicable for `message` items. + * + * - Message items of role `system` support only `input_text` content + * - Message items of role `user` support `input_text` and `input_audio` content + * - Message items of role `assistant` support `text` content. + */ + content?: Array; + + /** + * The name of the function being called (for `function_call` items). + */ + name?: string; + + /** + * Identifier for the API object being returned - always `realtime.item`. + */ + object?: 'realtime.item'; + + /** + * The output of the function call (for `function_call_output` items). + */ + output?: string; + + /** + * The role of the message sender (`user`, `assistant`, `system`), only applicable + * for `message` items. + */ + role?: 'user' | 'assistant' | 'system'; + + /** + * The status of the item (`completed`, `incomplete`). These have no effect on the + * conversation, but are accepted for consistency with the + * `conversation.item.created` event. + */ + status?: 'completed' | 'incomplete'; + + /** + * The type of the item (`message`, `function_call`, `function_call_output`, + * `item_reference`). + */ + type?: 'message' | 'function_call' | 'function_call_output' | 'item_reference'; +} + +/** + * Returned when an error occurs, which could be a client problem or a server + * problem. Most errors are recoverable and the session will stay open, we + * recommend to implementors to monitor and log error messages by default. + */ +export interface ErrorEvent { + /** + * Details of the error. + */ + error: ErrorEvent.Error; + + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The event type, must be `error`. + */ + type: 'error'; +} + +export namespace ErrorEvent { + /** + * Details of the error. + */ + export interface Error { + /** + * A human-readable error message. + */ + message: string; + + /** + * The type of error (e.g., "invalid_request_error", "server_error"). + */ + type: string; + + /** + * Error code, if any. + */ + code?: string | null; + + /** + * The event_id of the client event that caused the error, if applicable. + */ + event_id?: string | null; + + /** + * Parameter related to the error, if any. + */ + param?: string | null; + } +} + +/** + * Send this event to append audio bytes to the input audio buffer. The audio + * buffer is temporary storage you can write to and later commit. In Server VAD + * mode, the audio buffer is used to detect speech and the server will decide when + * to commit. When Server VAD is disabled, you must commit the audio buffer + * manually. + * + * The client may choose how much audio to place in each event up to a maximum of + * 15 MiB, for example streaming smaller chunks from the client may allow the VAD + * to be more responsive. Unlike made other client events, the server will not send + * a confirmation response to this event. + */ +export interface InputAudioBufferAppendEvent { + /** + * Base64-encoded audio bytes. This must be in the format specified by the + * `input_audio_format` field in the session configuration. + */ + audio: string; + + /** + * The event type, must be `input_audio_buffer.append`. + */ + type: 'input_audio_buffer.append'; + + /** + * Optional client-generated ID used to identify this event. + */ + event_id?: string; +} + +/** + * Send this event to clear the audio bytes in the buffer. The server will respond + * with an `input_audio_buffer.cleared` event. + */ +export interface InputAudioBufferClearEvent { + /** + * The event type, must be `input_audio_buffer.clear`. + */ + type: 'input_audio_buffer.clear'; + + /** + * Optional client-generated ID used to identify this event. + */ + event_id?: string; +} + +/** + * Returned when the input audio buffer is cleared by the client with a + * `input_audio_buffer.clear` event. + */ +export interface InputAudioBufferClearedEvent { + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The event type, must be `input_audio_buffer.cleared`. + */ + type: 'input_audio_buffer.cleared'; +} + +/** + * Send this event to commit the user input audio buffer, which will create a new + * user message item in the conversation. This event will produce an error if the + * input audio buffer is empty. When in Server VAD mode, the client does not need + * to send this event, the server will commit the audio buffer automatically. + * + * Committing the input audio buffer will trigger input audio transcription (if + * enabled in session configuration), but it will not create a response from the + * model. The server will respond with an `input_audio_buffer.committed` event. + */ +export interface InputAudioBufferCommitEvent { + /** + * The event type, must be `input_audio_buffer.commit`. + */ + type: 'input_audio_buffer.commit'; + + /** + * Optional client-generated ID used to identify this event. + */ + event_id?: string; +} + +/** + * Returned when an input audio buffer is committed, either by the client or + * automatically in server VAD mode. The `item_id` property is the ID of the user + * message item that will be created, thus a `conversation.item.created` event will + * also be sent to the client. + */ +export interface InputAudioBufferCommittedEvent { + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The ID of the user message item that will be created. + */ + item_id: string; + + /** + * The ID of the preceding item after which the new item will be inserted. + */ + previous_item_id: string; + + /** + * The event type, must be `input_audio_buffer.committed`. + */ + type: 'input_audio_buffer.committed'; +} + +/** + * Sent by the server when in `server_vad` mode to indicate that speech has been + * detected in the audio buffer. This can happen any time audio is added to the + * buffer (unless speech is already detected). The client may want to use this + * event to interrupt audio playback or provide visual feedback to the user. + * + * The client should expect to receive a `input_audio_buffer.speech_stopped` event + * when speech stops. The `item_id` property is the ID of the user message item + * that will be created when speech stops and will also be included in the + * `input_audio_buffer.speech_stopped` event (unless the client manually commits + * the audio buffer during VAD activation). + */ +export interface InputAudioBufferSpeechStartedEvent { + /** + * Milliseconds from the start of all audio written to the buffer during the + * session when speech was first detected. This will correspond to the beginning of + * audio sent to the model, and thus includes the `prefix_padding_ms` configured in + * the Session. + */ + audio_start_ms: number; + + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The ID of the user message item that will be created when speech stops. + */ + item_id: string; + + /** + * The event type, must be `input_audio_buffer.speech_started`. + */ + type: 'input_audio_buffer.speech_started'; +} + +/** + * Returned in `server_vad` mode when the server detects the end of speech in the + * audio buffer. The server will also send an `conversation.item.created` event + * with the user message item that is created from the audio buffer. + */ +export interface InputAudioBufferSpeechStoppedEvent { + /** + * Milliseconds since the session started when speech stopped. This will correspond + * to the end of audio sent to the model, and thus includes the + * `min_silence_duration_ms` configured in the Session. + */ + audio_end_ms: number; + + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The ID of the user message item that will be created. + */ + item_id: string; + + /** + * The event type, must be `input_audio_buffer.speech_stopped`. + */ + type: 'input_audio_buffer.speech_stopped'; +} + +/** + * Emitted at the beginning of a Response to indicate the updated rate limits. When + * a Response is created some tokens will be "reserved" for the output tokens, the + * rate limits shown here reflect that reservation, which is then adjusted + * accordingly once the Response is completed. + */ +export interface RateLimitsUpdatedEvent { + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * List of rate limit information. + */ + rate_limits: Array; + + /** + * The event type, must be `rate_limits.updated`. + */ + type: 'rate_limits.updated'; +} + +export namespace RateLimitsUpdatedEvent { + export interface RateLimit { + /** + * The maximum allowed value for the rate limit. + */ + limit?: number; + + /** + * The name of the rate limit (`requests`, `tokens`). + */ + name?: 'requests' | 'tokens'; + + /** + * The remaining value before the limit is reached. + */ + remaining?: number; + + /** + * Seconds until the rate limit resets. + */ + reset_seconds?: number; + } +} + +/** + * A realtime client event. + */ +export type RealtimeClientEvent = + | ConversationItemCreateEvent + | ConversationItemDeleteEvent + | ConversationItemRetrieveEvent + | ConversationItemTruncateEvent + | InputAudioBufferAppendEvent + | InputAudioBufferClearEvent + | RealtimeClientEvent.OutputAudioBufferClear + | InputAudioBufferCommitEvent + | ResponseCancelEvent + | ResponseCreateEvent + | SessionUpdateEvent + | TranscriptionSessionUpdate; + +export namespace RealtimeClientEvent { + /** + * **WebRTC Only:** Emit to cut off the current audio response. This will trigger + * the server to stop generating audio and emit a `output_audio_buffer.cleared` + * event. This event should be preceded by a `response.cancel` client event to stop + * the generation of the current response. + * [Learn more](https://platform.openai.com/docs/guides/realtime-model-capabilities#client-and-server-events-for-audio-in-webrtc). + */ + export interface OutputAudioBufferClear { + /** + * The event type, must be `output_audio_buffer.clear`. + */ + type: 'output_audio_buffer.clear'; + + /** + * The unique ID of the client event used for error handling. + */ + event_id?: string; + } +} + +/** + * The response resource. + */ +export interface RealtimeResponse { + /** + * The unique ID of the response. + */ + id?: string; + + /** + * Which conversation the response is added to, determined by the `conversation` + * field in the `response.create` event. If `auto`, the response will be added to + * the default conversation and the value of `conversation_id` will be an id like + * `conv_1234`. If `none`, the response will not be added to any conversation and + * the value of `conversation_id` will be `null`. If responses are being triggered + * by server VAD, the response will be added to the default conversation, thus the + * `conversation_id` will be an id like `conv_1234`. + */ + conversation_id?: string; + + /** + * Maximum number of output tokens for a single assistant response, inclusive of + * tool calls, that was used in this response. + */ + max_output_tokens?: number | 'inf'; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + + /** + * The set of modalities the model used to respond. If there are multiple + * modalities, the model will pick one, for example if `modalities` is + * `["text", "audio"]`, the model could be responding in either text or audio. + */ + modalities?: Array<'text' | 'audio'>; + + /** + * The object type, must be `realtime.response`. + */ + object?: 'realtime.response'; + + /** + * The list of output items generated by the response. + */ + output?: Array; + + /** + * The format of output audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`. + */ + output_audio_format?: 'pcm16' | 'g711_ulaw' | 'g711_alaw'; + + /** + * The final status of the response (`completed`, `cancelled`, `failed`, or + * `incomplete`). + */ + status?: 'completed' | 'cancelled' | 'failed' | 'incomplete'; + + /** + * Additional details about the status. + */ + status_details?: RealtimeResponseStatus; + + /** + * Sampling temperature for the model, limited to [0.6, 1.2]. Defaults to 0.8. + */ + temperature?: number; + + /** + * Usage statistics for the Response, this will correspond to billing. A Realtime + * API session will maintain a conversation context and append new Items to the + * Conversation, thus output from previous turns (text and audio tokens) will + * become the input for later turns. + */ + usage?: RealtimeResponseUsage; + + /** + * The voice the model used to respond. Current voice options are `alloy`, `ash`, + * `ballad`, `coral`, `echo`, `fable`, `onyx`, `nova`, `sage`, `shimmer`, and + * `verse`. + */ + voice?: + | (string & {}) + | 'alloy' + | 'ash' + | 'ballad' + | 'coral' + | 'echo' + | 'fable' + | 'onyx' + | 'nova' + | 'sage' + | 'shimmer' + | 'verse'; +} + +/** + * Additional details about the status. + */ +export interface RealtimeResponseStatus { + /** + * A description of the error that caused the response to fail, populated when the + * `status` is `failed`. + */ + error?: RealtimeResponseStatus.Error; + + /** + * The reason the Response did not complete. For a `cancelled` Response, one of + * `turn_detected` (the server VAD detected a new start of speech) or + * `client_cancelled` (the client sent a cancel event). For an `incomplete` + * Response, one of `max_output_tokens` or `content_filter` (the server-side safety + * filter activated and cut off the response). + */ + reason?: 'turn_detected' | 'client_cancelled' | 'max_output_tokens' | 'content_filter'; + + /** + * The type of error that caused the response to fail, corresponding with the + * `status` field (`completed`, `cancelled`, `incomplete`, `failed`). + */ + type?: 'completed' | 'cancelled' | 'incomplete' | 'failed'; +} + +export namespace RealtimeResponseStatus { + /** + * A description of the error that caused the response to fail, populated when the + * `status` is `failed`. + */ + export interface Error { + /** + * Error code, if any. + */ + code?: string; + + /** + * The type of error. + */ + type?: string; + } +} + +/** + * Usage statistics for the Response, this will correspond to billing. A Realtime + * API session will maintain a conversation context and append new Items to the + * Conversation, thus output from previous turns (text and audio tokens) will + * become the input for later turns. + */ +export interface RealtimeResponseUsage { + /** + * Details about the input tokens used in the Response. + */ + input_token_details?: RealtimeResponseUsage.InputTokenDetails; + + /** + * The number of input tokens used in the Response, including text and audio + * tokens. + */ + input_tokens?: number; + + /** + * Details about the output tokens used in the Response. + */ + output_token_details?: RealtimeResponseUsage.OutputTokenDetails; + + /** + * The number of output tokens sent in the Response, including text and audio + * tokens. + */ + output_tokens?: number; + + /** + * The total number of tokens in the Response including input and output text and + * audio tokens. + */ + total_tokens?: number; +} + +export namespace RealtimeResponseUsage { + /** + * Details about the input tokens used in the Response. + */ + export interface InputTokenDetails { + /** + * The number of audio tokens used in the Response. + */ + audio_tokens?: number; + + /** + * The number of cached tokens used in the Response. + */ + cached_tokens?: number; + + /** + * The number of text tokens used in the Response. + */ + text_tokens?: number; + } + + /** + * Details about the output tokens used in the Response. + */ + export interface OutputTokenDetails { + /** + * The number of audio tokens used in the Response. + */ + audio_tokens?: number; + + /** + * The number of text tokens used in the Response. + */ + text_tokens?: number; + } +} + +/** + * A realtime server event. + */ +export type RealtimeServerEvent = + | ConversationCreatedEvent + | ConversationItemCreatedEvent + | ConversationItemDeletedEvent + | ConversationItemInputAudioTranscriptionCompletedEvent + | ConversationItemInputAudioTranscriptionDeltaEvent + | ConversationItemInputAudioTranscriptionFailedEvent + | RealtimeServerEvent.ConversationItemRetrieved + | ConversationItemTruncatedEvent + | ErrorEvent + | InputAudioBufferClearedEvent + | InputAudioBufferCommittedEvent + | InputAudioBufferSpeechStartedEvent + | InputAudioBufferSpeechStoppedEvent + | RateLimitsUpdatedEvent + | ResponseAudioDeltaEvent + | ResponseAudioDoneEvent + | ResponseAudioTranscriptDeltaEvent + | ResponseAudioTranscriptDoneEvent + | ResponseContentPartAddedEvent + | ResponseContentPartDoneEvent + | ResponseCreatedEvent + | ResponseDoneEvent + | ResponseFunctionCallArgumentsDeltaEvent + | ResponseFunctionCallArgumentsDoneEvent + | ResponseOutputItemAddedEvent + | ResponseOutputItemDoneEvent + | ResponseTextDeltaEvent + | ResponseTextDoneEvent + | SessionCreatedEvent + | SessionUpdatedEvent + | TranscriptionSessionUpdatedEvent + | RealtimeServerEvent.OutputAudioBufferStarted + | RealtimeServerEvent.OutputAudioBufferStopped + | RealtimeServerEvent.OutputAudioBufferCleared; + +export namespace RealtimeServerEvent { + /** + * Returned when a conversation item is retrieved with + * `conversation.item.retrieve`. + */ + export interface ConversationItemRetrieved { + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The item to add to the conversation. + */ + item: RealtimeAPI.ConversationItem; + + /** + * The event type, must be `conversation.item.retrieved`. + */ + type: 'conversation.item.retrieved'; + } + + /** + * **WebRTC Only:** Emitted when the server begins streaming audio to the client. + * This event is emitted after an audio content part has been added + * (`response.content_part.added`) to the response. + * [Learn more](https://platform.openai.com/docs/guides/realtime-model-capabilities#client-and-server-events-for-audio-in-webrtc). + */ + export interface OutputAudioBufferStarted { + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The unique ID of the response that produced the audio. + */ + response_id: string; + + /** + * The event type, must be `output_audio_buffer.started`. + */ + type: 'output_audio_buffer.started'; + } + + /** + * **WebRTC Only:** Emitted when the output audio buffer has been completely + * drained on the server, and no more audio is forthcoming. This event is emitted + * after the full response data has been sent to the client (`response.done`). + * [Learn more](https://platform.openai.com/docs/guides/realtime-model-capabilities#client-and-server-events-for-audio-in-webrtc). + */ + export interface OutputAudioBufferStopped { + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The unique ID of the response that produced the audio. + */ + response_id: string; + + /** + * The event type, must be `output_audio_buffer.stopped`. + */ + type: 'output_audio_buffer.stopped'; + } + + /** + * **WebRTC Only:** Emitted when the output audio buffer is cleared. This happens + * either in VAD mode when the user has interrupted + * (`input_audio_buffer.speech_started`), or when the client has emitted the + * `output_audio_buffer.clear` event to manually cut off the current audio + * response. + * [Learn more](https://platform.openai.com/docs/guides/realtime-model-capabilities#client-and-server-events-for-audio-in-webrtc). + */ + export interface OutputAudioBufferCleared { + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The unique ID of the response that produced the audio. + */ + response_id: string; + + /** + * The event type, must be `output_audio_buffer.cleared`. + */ + type: 'output_audio_buffer.cleared'; + } +} + +/** + * Returned when the model-generated audio is updated. + */ +export interface ResponseAudioDeltaEvent { + /** + * The index of the content part in the item's content array. + */ + content_index: number; + + /** + * Base64-encoded audio data delta. + */ + delta: string; + + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The ID of the item. + */ + item_id: string; + + /** + * The index of the output item in the response. + */ + output_index: number; + + /** + * The ID of the response. + */ + response_id: string; + + /** + * The event type, must be `response.audio.delta`. + */ + type: 'response.audio.delta'; +} + +/** + * Returned when the model-generated audio is done. Also emitted when a Response is + * interrupted, incomplete, or cancelled. + */ +export interface ResponseAudioDoneEvent { + /** + * The index of the content part in the item's content array. + */ + content_index: number; + + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The ID of the item. + */ + item_id: string; + + /** + * The index of the output item in the response. + */ + output_index: number; + + /** + * The ID of the response. + */ + response_id: string; + + /** + * The event type, must be `response.audio.done`. + */ + type: 'response.audio.done'; +} + +/** + * Returned when the model-generated transcription of audio output is updated. + */ +export interface ResponseAudioTranscriptDeltaEvent { + /** + * The index of the content part in the item's content array. + */ + content_index: number; + + /** + * The transcript delta. + */ + delta: string; + + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The ID of the item. + */ + item_id: string; + + /** + * The index of the output item in the response. + */ + output_index: number; + + /** + * The ID of the response. + */ + response_id: string; + + /** + * The event type, must be `response.audio_transcript.delta`. + */ + type: 'response.audio_transcript.delta'; +} + +/** + * Returned when the model-generated transcription of audio output is done + * streaming. Also emitted when a Response is interrupted, incomplete, or + * cancelled. + */ +export interface ResponseAudioTranscriptDoneEvent { + /** + * The index of the content part in the item's content array. + */ + content_index: number; + + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The ID of the item. + */ + item_id: string; + + /** + * The index of the output item in the response. + */ + output_index: number; + + /** + * The ID of the response. + */ + response_id: string; + + /** + * The final transcript of the audio. + */ + transcript: string; + + /** + * The event type, must be `response.audio_transcript.done`. + */ + type: 'response.audio_transcript.done'; +} + +/** + * Send this event to cancel an in-progress response. The server will respond with + * a `response.cancelled` event or an error if there is no response to cancel. + */ +export interface ResponseCancelEvent { + /** + * The event type, must be `response.cancel`. + */ + type: 'response.cancel'; + + /** + * Optional client-generated ID used to identify this event. + */ + event_id?: string; + + /** + * A specific response ID to cancel - if not provided, will cancel an in-progress + * response in the default conversation. + */ + response_id?: string; +} + +/** + * Returned when a new content part is added to an assistant message item during + * response generation. + */ +export interface ResponseContentPartAddedEvent { + /** + * The index of the content part in the item's content array. + */ + content_index: number; + + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The ID of the item to which the content part was added. + */ + item_id: string; + + /** + * The index of the output item in the response. + */ + output_index: number; + + /** + * The content part that was added. + */ + part: ResponseContentPartAddedEvent.Part; + + /** + * The ID of the response. + */ + response_id: string; + + /** + * The event type, must be `response.content_part.added`. + */ + type: 'response.content_part.added'; +} + +export namespace ResponseContentPartAddedEvent { + /** + * The content part that was added. + */ + export interface Part { + /** + * Base64-encoded audio data (if type is "audio"). + */ + audio?: string; + + /** + * The text content (if type is "text"). + */ + text?: string; + + /** + * The transcript of the audio (if type is "audio"). + */ + transcript?: string; + + /** + * The content type ("text", "audio"). + */ + type?: 'text' | 'audio'; + } +} + +/** + * Returned when a content part is done streaming in an assistant message item. + * Also emitted when a Response is interrupted, incomplete, or cancelled. + */ +export interface ResponseContentPartDoneEvent { + /** + * The index of the content part in the item's content array. + */ + content_index: number; + + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The ID of the item. + */ + item_id: string; + + /** + * The index of the output item in the response. + */ + output_index: number; + + /** + * The content part that is done. + */ + part: ResponseContentPartDoneEvent.Part; + + /** + * The ID of the response. + */ + response_id: string; + + /** + * The event type, must be `response.content_part.done`. + */ + type: 'response.content_part.done'; +} + +export namespace ResponseContentPartDoneEvent { + /** + * The content part that is done. + */ + export interface Part { + /** + * Base64-encoded audio data (if type is "audio"). + */ + audio?: string; + + /** + * The text content (if type is "text"). + */ + text?: string; + + /** + * The transcript of the audio (if type is "audio"). + */ + transcript?: string; + + /** + * The content type ("text", "audio"). + */ + type?: 'text' | 'audio'; + } +} + +/** + * This event instructs the server to create a Response, which means triggering + * model inference. When in Server VAD mode, the server will create Responses + * automatically. + * + * A Response will include at least one Item, and may have two, in which case the + * second will be a function call. These Items will be appended to the conversation + * history. + * + * The server will respond with a `response.created` event, events for Items and + * content created, and finally a `response.done` event to indicate the Response is + * complete. + * + * The `response.create` event includes inference configuration like + * `instructions`, and `temperature`. These fields will override the Session's + * configuration for this Response only. + */ +export interface ResponseCreateEvent { + /** + * The event type, must be `response.create`. + */ + type: 'response.create'; + + /** + * Optional client-generated ID used to identify this event. + */ + event_id?: string; + + /** + * Create a new Realtime response with these parameters + */ + response?: ResponseCreateEvent.Response; +} + +export namespace ResponseCreateEvent { + /** + * Create a new Realtime response with these parameters + */ + export interface Response { + /** + * Controls which conversation the response is added to. Currently supports `auto` + * and `none`, with `auto` as the default value. The `auto` value means that the + * contents of the response will be added to the default conversation. Set this to + * `none` to create an out-of-band response which will not add items to default + * conversation. + */ + conversation?: (string & {}) | 'auto' | 'none'; + + /** + * Input items to include in the prompt for the model. Using this field creates a + * new context for this Response instead of using the default conversation. An + * empty array `[]` will clear the context for this Response. Note that this can + * include references to items from the default conversation. + */ + input?: Array; + + /** + * The default system instructions (i.e. system message) prepended to model calls. + * This field allows the client to guide the model on desired responses. The model + * can be instructed on response content and format, (e.g. "be extremely succinct", + * "act friendly", "here are examples of good responses") and on audio behavior + * (e.g. "talk quickly", "inject emotion into your voice", "laugh frequently"). The + * instructions are not guaranteed to be followed by the model, but they provide + * guidance to the model on the desired behavior. + * + * Note that the server sets default instructions which will be used if this field + * is not set and are visible in the `session.created` event at the start of the + * session. + */ + instructions?: string; + + /** + * Maximum number of output tokens for a single assistant response, inclusive of + * tool calls. Provide an integer between 1 and 4096 to limit output tokens, or + * `inf` for the maximum available tokens for a given model. Defaults to `inf`. + */ + max_response_output_tokens?: number | 'inf'; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + + /** + * The set of modalities the model can respond with. To disable audio, set this to + * ["text"]. + */ + modalities?: Array<'text' | 'audio'>; + + /** + * The format of output audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`. + */ + output_audio_format?: 'pcm16' | 'g711_ulaw' | 'g711_alaw'; + + /** + * Sampling temperature for the model, limited to [0.6, 1.2]. Defaults to 0.8. + */ + temperature?: number; + + /** + * How the model chooses tools. Options are `auto`, `none`, `required`, or specify + * a function, like `{"type": "function", "function": {"name": "my_function"}}`. + */ + tool_choice?: string; + + /** + * Tools (functions) available to the model. + */ + tools?: Array; + + /** + * The voice the model uses to respond. Voice cannot be changed during the session + * once the model has responded with audio at least once. Current voice options are + * `alloy`, `ash`, `ballad`, `coral`, `echo`, `fable`, `onyx`, `nova`, `sage`, + * `shimmer`, and `verse`. + */ + voice?: + | (string & {}) + | 'alloy' + | 'ash' + | 'ballad' + | 'coral' + | 'echo' + | 'fable' + | 'onyx' + | 'nova' + | 'sage' + | 'shimmer' + | 'verse'; + } + + export namespace Response { + export interface Tool { + /** + * The description of the function, including guidance on when and how to call it, + * and guidance about what to tell the user when calling (if anything). + */ + description?: string; + + /** + * The name of the function. + */ + name?: string; + + /** + * Parameters of the function in JSON Schema. + */ + parameters?: unknown; + + /** + * The type of the tool, i.e. `function`. + */ + type?: 'function'; + } + } +} + +/** + * Returned when a new Response is created. The first event of response creation, + * where the response is in an initial state of `in_progress`. + */ +export interface ResponseCreatedEvent { + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The response resource. + */ + response: RealtimeResponse; + + /** + * The event type, must be `response.created`. + */ + type: 'response.created'; +} + +/** + * Returned when a Response is done streaming. Always emitted, no matter the final + * state. The Response object included in the `response.done` event will include + * all output Items in the Response but will omit the raw audio data. + */ +export interface ResponseDoneEvent { + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The response resource. + */ + response: RealtimeResponse; + + /** + * The event type, must be `response.done`. + */ + type: 'response.done'; +} + +/** + * Returned when the model-generated function call arguments are updated. + */ +export interface ResponseFunctionCallArgumentsDeltaEvent { + /** + * The ID of the function call. + */ + call_id: string; + + /** + * The arguments delta as a JSON string. + */ + delta: string; + + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The ID of the function call item. + */ + item_id: string; + + /** + * The index of the output item in the response. + */ + output_index: number; + + /** + * The ID of the response. + */ + response_id: string; + + /** + * The event type, must be `response.function_call_arguments.delta`. + */ + type: 'response.function_call_arguments.delta'; +} + +/** + * Returned when the model-generated function call arguments are done streaming. + * Also emitted when a Response is interrupted, incomplete, or cancelled. + */ +export interface ResponseFunctionCallArgumentsDoneEvent { + /** + * The final arguments as a JSON string. + */ + arguments: string; + + /** + * The ID of the function call. + */ + call_id: string; + + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The ID of the function call item. + */ + item_id: string; + + /** + * The index of the output item in the response. + */ + output_index: number; + + /** + * The ID of the response. + */ + response_id: string; + + /** + * The event type, must be `response.function_call_arguments.done`. + */ + type: 'response.function_call_arguments.done'; +} + +/** + * Returned when a new Item is created during Response generation. + */ +export interface ResponseOutputItemAddedEvent { + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The item to add to the conversation. + */ + item: ConversationItem; + + /** + * The index of the output item in the Response. + */ + output_index: number; + + /** + * The ID of the Response to which the item belongs. + */ + response_id: string; + + /** + * The event type, must be `response.output_item.added`. + */ + type: 'response.output_item.added'; +} + +/** + * Returned when an Item is done streaming. Also emitted when a Response is + * interrupted, incomplete, or cancelled. + */ +export interface ResponseOutputItemDoneEvent { + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The item to add to the conversation. + */ + item: ConversationItem; + + /** + * The index of the output item in the Response. + */ + output_index: number; + + /** + * The ID of the Response to which the item belongs. + */ + response_id: string; + + /** + * The event type, must be `response.output_item.done`. + */ + type: 'response.output_item.done'; +} + +/** + * Returned when the text value of a "text" content part is updated. + */ +export interface ResponseTextDeltaEvent { + /** + * The index of the content part in the item's content array. + */ + content_index: number; + + /** + * The text delta. + */ + delta: string; + + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The ID of the item. + */ + item_id: string; + + /** + * The index of the output item in the response. + */ + output_index: number; + + /** + * The ID of the response. + */ + response_id: string; + + /** + * The event type, must be `response.text.delta`. + */ + type: 'response.text.delta'; +} + +/** + * Returned when the text value of a "text" content part is done streaming. Also + * emitted when a Response is interrupted, incomplete, or cancelled. + */ +export interface ResponseTextDoneEvent { + /** + * The index of the content part in the item's content array. + */ + content_index: number; + + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * The ID of the item. + */ + item_id: string; + + /** + * The index of the output item in the response. + */ + output_index: number; + + /** + * The ID of the response. + */ + response_id: string; + + /** + * The final text content. + */ + text: string; + + /** + * The event type, must be `response.text.done`. + */ + type: 'response.text.done'; +} + +/** + * Returned when a Session is created. Emitted automatically when a new connection + * is established as the first server event. This event will contain the default + * Session configuration. + */ +export interface SessionCreatedEvent { + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * Realtime session object configuration. + */ + session: SessionsAPI.Session; + + /** + * The event type, must be `session.created`. + */ + type: 'session.created'; +} + +/** + * Send this event to update the session’s default configuration. The client may + * send this event at any time to update any field, except for `voice`. However, + * note that once a session has been initialized with a particular `model`, it + * can’t be changed to another model using `session.update`. + * + * When the server receives a `session.update`, it will respond with a + * `session.updated` event showing the full, effective configuration. Only the + * fields that are present are updated. To clear a field like `instructions`, pass + * an empty string. + */ +export interface SessionUpdateEvent { + /** + * Realtime session object configuration. + */ + session: SessionUpdateEvent.Session; + + /** + * The event type, must be `session.update`. + */ + type: 'session.update'; + + /** + * Optional client-generated ID used to identify this event. + */ + event_id?: string; +} + +export namespace SessionUpdateEvent { + /** + * Realtime session object configuration. + */ + export interface Session { + /** + * The format of input audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`. For + * `pcm16`, input audio must be 16-bit PCM at a 24kHz sample rate, single channel + * (mono), and little-endian byte order. + */ + input_audio_format?: 'pcm16' | 'g711_ulaw' | 'g711_alaw'; + + /** + * Configuration for input audio noise reduction. This can be set to `null` to turn + * off. Noise reduction filters audio added to the input audio buffer before it is + * sent to VAD and the model. Filtering the audio can improve VAD and turn + * detection accuracy (reducing false positives) and model performance by improving + * perception of the input audio. + */ + input_audio_noise_reduction?: Session.InputAudioNoiseReduction; + + /** + * Configuration for input audio transcription, defaults to off and can be set to + * `null` to turn off once on. Input audio transcription is not native to the + * model, since the model consumes audio directly. Transcription runs + * asynchronously through + * [the /audio/transcriptions endpoint](https://platform.openai.com/docs/api-reference/audio/createTranscription) + * and should be treated as guidance of input audio content rather than precisely + * what the model heard. The client can optionally set the language and prompt for + * transcription, these offer additional guidance to the transcription service. + */ + input_audio_transcription?: Session.InputAudioTranscription; + + /** + * The default system instructions (i.e. system message) prepended to model calls. + * This field allows the client to guide the model on desired responses. The model + * can be instructed on response content and format, (e.g. "be extremely succinct", + * "act friendly", "here are examples of good responses") and on audio behavior + * (e.g. "talk quickly", "inject emotion into your voice", "laugh frequently"). The + * instructions are not guaranteed to be followed by the model, but they provide + * guidance to the model on the desired behavior. + * + * Note that the server sets default instructions which will be used if this field + * is not set and are visible in the `session.created` event at the start of the + * session. + */ + instructions?: string; + + /** + * Maximum number of output tokens for a single assistant response, inclusive of + * tool calls. Provide an integer between 1 and 4096 to limit output tokens, or + * `inf` for the maximum available tokens for a given model. Defaults to `inf`. + */ + max_response_output_tokens?: number | 'inf'; + + /** + * The set of modalities the model can respond with. To disable audio, set this to + * ["text"]. + */ + modalities?: Array<'text' | 'audio'>; + + /** + * The Realtime model used for this session. + */ + model?: + | 'gpt-4o-realtime-preview' + | 'gpt-4o-realtime-preview-2024-10-01' + | 'gpt-4o-realtime-preview-2024-12-17' + | 'gpt-4o-mini-realtime-preview' + | 'gpt-4o-mini-realtime-preview-2024-12-17'; + + /** + * The format of output audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`. + * For `pcm16`, output audio is sampled at a rate of 24kHz. + */ + output_audio_format?: 'pcm16' | 'g711_ulaw' | 'g711_alaw'; + + /** + * Sampling temperature for the model, limited to [0.6, 1.2]. For audio models a + * temperature of 0.8 is highly recommended for best performance. + */ + temperature?: number; + + /** + * How the model chooses tools. Options are `auto`, `none`, `required`, or specify + * a function. + */ + tool_choice?: string; + + /** + * Tools (functions) available to the model. + */ + tools?: Array; + + /** + * Configuration for turn detection, ether Server VAD or Semantic VAD. This can be + * set to `null` to turn off, in which case the client must manually trigger model + * response. Server VAD means that the model will detect the start and end of + * speech based on audio volume and respond at the end of user speech. Semantic VAD + * is more advanced and uses a turn detection model (in conjuction with VAD) to + * semantically estimate whether the user has finished speaking, then dynamically + * sets a timeout based on this probability. For example, if user audio trails off + * with "uhhm", the model will score a low probability of turn end and wait longer + * for the user to continue speaking. This can be useful for more natural + * conversations, but may have a higher latency. + */ + turn_detection?: Session.TurnDetection; + + /** + * The voice the model uses to respond. Voice cannot be changed during the session + * once the model has responded with audio at least once. Current voice options are + * `alloy`, `ash`, `ballad`, `coral`, `echo`, `fable`, `onyx`, `nova`, `sage`, + * `shimmer`, and `verse`. + */ + voice?: + | (string & {}) + | 'alloy' + | 'ash' + | 'ballad' + | 'coral' + | 'echo' + | 'fable' + | 'onyx' + | 'nova' + | 'sage' + | 'shimmer' + | 'verse'; + } + + export namespace Session { + /** + * Configuration for input audio noise reduction. This can be set to `null` to turn + * off. Noise reduction filters audio added to the input audio buffer before it is + * sent to VAD and the model. Filtering the audio can improve VAD and turn + * detection accuracy (reducing false positives) and model performance by improving + * perception of the input audio. + */ + export interface InputAudioNoiseReduction { + /** + * Type of noise reduction. `near_field` is for close-talking microphones such as + * headphones, `far_field` is for far-field microphones such as laptop or + * conference room microphones. + */ + type?: 'near_field' | 'far_field'; + } + + /** + * Configuration for input audio transcription, defaults to off and can be set to + * `null` to turn off once on. Input audio transcription is not native to the + * model, since the model consumes audio directly. Transcription runs + * asynchronously through + * [the /audio/transcriptions endpoint](https://platform.openai.com/docs/api-reference/audio/createTranscription) + * and should be treated as guidance of input audio content rather than precisely + * what the model heard. The client can optionally set the language and prompt for + * transcription, these offer additional guidance to the transcription service. + */ + export interface InputAudioTranscription { + /** + * The language of the input audio. Supplying the input language in + * [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`) + * format will improve accuracy and latency. + */ + language?: string; + + /** + * The model to use for transcription, current options are `gpt-4o-transcribe`, + * `gpt-4o-mini-transcribe`, and `whisper-1`. + */ + model?: string; + + /** + * An optional text to guide the model's style or continue a previous audio + * segment. For `whisper-1`, the + * [prompt is a list of keywords](https://platform.openai.com/docs/guides/speech-to-text#prompting). + * For `gpt-4o-transcribe` models, the prompt is a free text string, for example + * "expect words related to technology". + */ + prompt?: string; + } + + export interface Tool { + /** + * The description of the function, including guidance on when and how to call it, + * and guidance about what to tell the user when calling (if anything). + */ + description?: string; + + /** + * The name of the function. + */ + name?: string; + + /** + * Parameters of the function in JSON Schema. + */ + parameters?: unknown; + + /** + * The type of the tool, i.e. `function`. + */ + type?: 'function'; + } + + /** + * Configuration for turn detection, ether Server VAD or Semantic VAD. This can be + * set to `null` to turn off, in which case the client must manually trigger model + * response. Server VAD means that the model will detect the start and end of + * speech based on audio volume and respond at the end of user speech. Semantic VAD + * is more advanced and uses a turn detection model (in conjuction with VAD) to + * semantically estimate whether the user has finished speaking, then dynamically + * sets a timeout based on this probability. For example, if user audio trails off + * with "uhhm", the model will score a low probability of turn end and wait longer + * for the user to continue speaking. This can be useful for more natural + * conversations, but may have a higher latency. + */ + export interface TurnDetection { + /** + * Whether or not to automatically generate a response when a VAD stop event + * occurs. + */ + create_response?: boolean; + + /** + * Used only for `semantic_vad` mode. The eagerness of the model to respond. `low` + * will wait longer for the user to continue speaking, `high` will respond more + * quickly. `auto` is the default and is equivalent to `medium`. + */ + eagerness?: 'low' | 'medium' | 'high' | 'auto'; + + /** + * Whether or not to automatically interrupt any ongoing response with output to + * the default conversation (i.e. `conversation` of `auto`) when a VAD start event + * occurs. + */ + interrupt_response?: boolean; + + /** + * Used only for `server_vad` mode. Amount of audio to include before the VAD + * detected speech (in milliseconds). Defaults to 300ms. + */ + prefix_padding_ms?: number; + + /** + * Used only for `server_vad` mode. Duration of silence to detect speech stop (in + * milliseconds). Defaults to 500ms. With shorter values the model will respond + * more quickly, but may jump in on short pauses from the user. + */ + silence_duration_ms?: number; + + /** + * Used only for `server_vad` mode. Activation threshold for VAD (0.0 to 1.0), this + * defaults to 0.5. A higher threshold will require louder audio to activate the + * model, and thus might perform better in noisy environments. + */ + threshold?: number; + + /** + * Type of turn detection. + */ + type?: 'server_vad' | 'semantic_vad'; + } + } +} + +/** + * Returned when a session is updated with a `session.update` event, unless there + * is an error. + */ +export interface SessionUpdatedEvent { + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * Realtime session object configuration. + */ + session: SessionsAPI.Session; + + /** + * The event type, must be `session.updated`. + */ + type: 'session.updated'; +} + +/** + * Send this event to update a transcription session. + */ +export interface TranscriptionSessionUpdate { + /** + * Realtime transcription session object configuration. + */ + session: TranscriptionSessionUpdate.Session; + + /** + * The event type, must be `transcription_session.update`. + */ + type: 'transcription_session.update'; + + /** + * Optional client-generated ID used to identify this event. + */ + event_id?: string; +} + +export namespace TranscriptionSessionUpdate { + /** + * Realtime transcription session object configuration. + */ + export interface Session { + /** + * The set of items to include in the transcription. Current available items are: + * + * - `item.input_audio_transcription.logprobs` + */ + include?: Array; + + /** + * The format of input audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`. For + * `pcm16`, input audio must be 16-bit PCM at a 24kHz sample rate, single channel + * (mono), and little-endian byte order. + */ + input_audio_format?: 'pcm16' | 'g711_ulaw' | 'g711_alaw'; + + /** + * Configuration for input audio noise reduction. This can be set to `null` to turn + * off. Noise reduction filters audio added to the input audio buffer before it is + * sent to VAD and the model. Filtering the audio can improve VAD and turn + * detection accuracy (reducing false positives) and model performance by improving + * perception of the input audio. + */ + input_audio_noise_reduction?: Session.InputAudioNoiseReduction; + + /** + * Configuration for input audio transcription. The client can optionally set the + * language and prompt for transcription, these offer additional guidance to the + * transcription service. + */ + input_audio_transcription?: Session.InputAudioTranscription; + + /** + * The set of modalities the model can respond with. To disable audio, set this to + * ["text"]. + */ + modalities?: Array<'text' | 'audio'>; + + /** + * Configuration for turn detection, ether Server VAD or Semantic VAD. This can be + * set to `null` to turn off, in which case the client must manually trigger model + * response. Server VAD means that the model will detect the start and end of + * speech based on audio volume and respond at the end of user speech. Semantic VAD + * is more advanced and uses a turn detection model (in conjuction with VAD) to + * semantically estimate whether the user has finished speaking, then dynamically + * sets a timeout based on this probability. For example, if user audio trails off + * with "uhhm", the model will score a low probability of turn end and wait longer + * for the user to continue speaking. This can be useful for more natural + * conversations, but may have a higher latency. + */ + turn_detection?: Session.TurnDetection; + } + + export namespace Session { + /** + * Configuration for input audio noise reduction. This can be set to `null` to turn + * off. Noise reduction filters audio added to the input audio buffer before it is + * sent to VAD and the model. Filtering the audio can improve VAD and turn + * detection accuracy (reducing false positives) and model performance by improving + * perception of the input audio. + */ + export interface InputAudioNoiseReduction { + /** + * Type of noise reduction. `near_field` is for close-talking microphones such as + * headphones, `far_field` is for far-field microphones such as laptop or + * conference room microphones. + */ + type?: 'near_field' | 'far_field'; + } + + /** + * Configuration for input audio transcription. The client can optionally set the + * language and prompt for transcription, these offer additional guidance to the + * transcription service. + */ + export interface InputAudioTranscription { + /** + * The language of the input audio. Supplying the input language in + * [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`) + * format will improve accuracy and latency. + */ + language?: string; + + /** + * The model to use for transcription, current options are `gpt-4o-transcribe`, + * `gpt-4o-mini-transcribe`, and `whisper-1`. + */ + model?: 'gpt-4o-transcribe' | 'gpt-4o-mini-transcribe' | 'whisper-1'; + + /** + * An optional text to guide the model's style or continue a previous audio + * segment. For `whisper-1`, the + * [prompt is a list of keywords](https://platform.openai.com/docs/guides/speech-to-text#prompting). + * For `gpt-4o-transcribe` models, the prompt is a free text string, for example + * "expect words related to technology". + */ + prompt?: string; + } + + /** + * Configuration for turn detection, ether Server VAD or Semantic VAD. This can be + * set to `null` to turn off, in which case the client must manually trigger model + * response. Server VAD means that the model will detect the start and end of + * speech based on audio volume and respond at the end of user speech. Semantic VAD + * is more advanced and uses a turn detection model (in conjuction with VAD) to + * semantically estimate whether the user has finished speaking, then dynamically + * sets a timeout based on this probability. For example, if user audio trails off + * with "uhhm", the model will score a low probability of turn end and wait longer + * for the user to continue speaking. This can be useful for more natural + * conversations, but may have a higher latency. + */ + export interface TurnDetection { + /** + * Whether or not to automatically generate a response when a VAD stop event + * occurs. Not available for transcription sessions. + */ + create_response?: boolean; + + /** + * Used only for `semantic_vad` mode. The eagerness of the model to respond. `low` + * will wait longer for the user to continue speaking, `high` will respond more + * quickly. `auto` is the default and is equivalent to `medium`. + */ + eagerness?: 'low' | 'medium' | 'high' | 'auto'; + + /** + * Whether or not to automatically interrupt any ongoing response with output to + * the default conversation (i.e. `conversation` of `auto`) when a VAD start event + * occurs. Not available for transcription sessions. + */ + interrupt_response?: boolean; + + /** + * Used only for `server_vad` mode. Amount of audio to include before the VAD + * detected speech (in milliseconds). Defaults to 300ms. + */ + prefix_padding_ms?: number; + + /** + * Used only for `server_vad` mode. Duration of silence to detect speech stop (in + * milliseconds). Defaults to 500ms. With shorter values the model will respond + * more quickly, but may jump in on short pauses from the user. + */ + silence_duration_ms?: number; + + /** + * Used only for `server_vad` mode. Activation threshold for VAD (0.0 to 1.0), this + * defaults to 0.5. A higher threshold will require louder audio to activate the + * model, and thus might perform better in noisy environments. + */ + threshold?: number; + + /** + * Type of turn detection. + */ + type?: 'server_vad' | 'semantic_vad'; + } + } +} + +/** + * Returned when a transcription session is updated with a + * `transcription_session.update` event, unless there is an error. + */ +export interface TranscriptionSessionUpdatedEvent { + /** + * The unique ID of the server event. + */ + event_id: string; + + /** + * A new Realtime transcription session configuration. + * + * When a session is created on the server via REST API, the session object also + * contains an ephemeral key. Default TTL for keys is 10 minutes. This property is + * not present when a session is updated via the WebSocket API. + */ + session: TranscriptionSessionsAPI.TranscriptionSession; + + /** + * The event type, must be `transcription_session.updated`. + */ + type: 'transcription_session.updated'; +} + +Realtime.Sessions = Sessions; +Realtime.TranscriptionSessions = TranscriptionSessions; + +export declare namespace Realtime { + export { + type ConversationCreatedEvent as ConversationCreatedEvent, + type ConversationItem as ConversationItem, + type ConversationItemContent as ConversationItemContent, + type ConversationItemCreateEvent as ConversationItemCreateEvent, + type ConversationItemCreatedEvent as ConversationItemCreatedEvent, + type ConversationItemDeleteEvent as ConversationItemDeleteEvent, + type ConversationItemDeletedEvent as ConversationItemDeletedEvent, + type ConversationItemInputAudioTranscriptionCompletedEvent as ConversationItemInputAudioTranscriptionCompletedEvent, + type ConversationItemInputAudioTranscriptionDeltaEvent as ConversationItemInputAudioTranscriptionDeltaEvent, + type ConversationItemInputAudioTranscriptionFailedEvent as ConversationItemInputAudioTranscriptionFailedEvent, + type ConversationItemRetrieveEvent as ConversationItemRetrieveEvent, + type ConversationItemTruncateEvent as ConversationItemTruncateEvent, + type ConversationItemTruncatedEvent as ConversationItemTruncatedEvent, + type ConversationItemWithReference as ConversationItemWithReference, + type ErrorEvent as ErrorEvent, + type InputAudioBufferAppendEvent as InputAudioBufferAppendEvent, + type InputAudioBufferClearEvent as InputAudioBufferClearEvent, + type InputAudioBufferClearedEvent as InputAudioBufferClearedEvent, + type InputAudioBufferCommitEvent as InputAudioBufferCommitEvent, + type InputAudioBufferCommittedEvent as InputAudioBufferCommittedEvent, + type InputAudioBufferSpeechStartedEvent as InputAudioBufferSpeechStartedEvent, + type InputAudioBufferSpeechStoppedEvent as InputAudioBufferSpeechStoppedEvent, + type RateLimitsUpdatedEvent as RateLimitsUpdatedEvent, + type RealtimeClientEvent as RealtimeClientEvent, + type RealtimeResponse as RealtimeResponse, + type RealtimeResponseStatus as RealtimeResponseStatus, + type RealtimeResponseUsage as RealtimeResponseUsage, + type RealtimeServerEvent as RealtimeServerEvent, + type ResponseAudioDeltaEvent as ResponseAudioDeltaEvent, + type ResponseAudioDoneEvent as ResponseAudioDoneEvent, + type ResponseAudioTranscriptDeltaEvent as ResponseAudioTranscriptDeltaEvent, + type ResponseAudioTranscriptDoneEvent as ResponseAudioTranscriptDoneEvent, + type ResponseCancelEvent as ResponseCancelEvent, + type ResponseContentPartAddedEvent as ResponseContentPartAddedEvent, + type ResponseContentPartDoneEvent as ResponseContentPartDoneEvent, + type ResponseCreateEvent as ResponseCreateEvent, + type ResponseCreatedEvent as ResponseCreatedEvent, + type ResponseDoneEvent as ResponseDoneEvent, + type ResponseFunctionCallArgumentsDeltaEvent as ResponseFunctionCallArgumentsDeltaEvent, + type ResponseFunctionCallArgumentsDoneEvent as ResponseFunctionCallArgumentsDoneEvent, + type ResponseOutputItemAddedEvent as ResponseOutputItemAddedEvent, + type ResponseOutputItemDoneEvent as ResponseOutputItemDoneEvent, + type ResponseTextDeltaEvent as ResponseTextDeltaEvent, + type ResponseTextDoneEvent as ResponseTextDoneEvent, + type SessionCreatedEvent as SessionCreatedEvent, + type SessionUpdateEvent as SessionUpdateEvent, + type SessionUpdatedEvent as SessionUpdatedEvent, + type TranscriptionSessionUpdate as TranscriptionSessionUpdate, + type TranscriptionSessionUpdatedEvent as TranscriptionSessionUpdatedEvent, + }; + + export { + Sessions as Sessions, + type SessionsAPISession as Session, + type SessionCreateResponse as SessionCreateResponse, + type SessionCreateParams as SessionCreateParams, + }; + + export { + TranscriptionSessions as TranscriptionSessions, + type TranscriptionSession as TranscriptionSession, + type TranscriptionSessionCreateParams as TranscriptionSessionCreateParams, + }; +} diff --git a/src/resources/beta/realtime/sessions.ts b/src/resources/beta/realtime/sessions.ts new file mode 100644 index 000000000..a55a2678c --- /dev/null +++ b/src/resources/beta/realtime/sessions.ts @@ -0,0 +1,752 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../../resource'; +import * as Core from '../../../core'; + +export class Sessions extends APIResource { + /** + * Create an ephemeral API token for use in client-side applications with the + * Realtime API. Can be configured with the same session parameters as the + * `session.update` client event. + * + * It responds with a session object, plus a `client_secret` key which contains a + * usable ephemeral API token that can be used to authenticate browser clients for + * the Realtime API. + * + * @example + * ```ts + * const session = + * await client.beta.realtime.sessions.create(); + * ``` + */ + create(body: SessionCreateParams, options?: Core.RequestOptions): Core.APIPromise { + return this._client.post('/realtime/sessions', { + body, + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } +} + +/** + * Realtime session object configuration. + */ +export interface Session { + /** + * Unique identifier for the session that looks like `sess_1234567890abcdef`. + */ + id?: string; + + /** + * The format of input audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`. For + * `pcm16`, input audio must be 16-bit PCM at a 24kHz sample rate, single channel + * (mono), and little-endian byte order. + */ + input_audio_format?: 'pcm16' | 'g711_ulaw' | 'g711_alaw'; + + /** + * Configuration for input audio noise reduction. This can be set to `null` to turn + * off. Noise reduction filters audio added to the input audio buffer before it is + * sent to VAD and the model. Filtering the audio can improve VAD and turn + * detection accuracy (reducing false positives) and model performance by improving + * perception of the input audio. + */ + input_audio_noise_reduction?: Session.InputAudioNoiseReduction; + + /** + * Configuration for input audio transcription, defaults to off and can be set to + * `null` to turn off once on. Input audio transcription is not native to the + * model, since the model consumes audio directly. Transcription runs + * asynchronously through + * [the /audio/transcriptions endpoint](https://platform.openai.com/docs/api-reference/audio/createTranscription) + * and should be treated as guidance of input audio content rather than precisely + * what the model heard. The client can optionally set the language and prompt for + * transcription, these offer additional guidance to the transcription service. + */ + input_audio_transcription?: Session.InputAudioTranscription; + + /** + * The default system instructions (i.e. system message) prepended to model calls. + * This field allows the client to guide the model on desired responses. The model + * can be instructed on response content and format, (e.g. "be extremely succinct", + * "act friendly", "here are examples of good responses") and on audio behavior + * (e.g. "talk quickly", "inject emotion into your voice", "laugh frequently"). The + * instructions are not guaranteed to be followed by the model, but they provide + * guidance to the model on the desired behavior. + * + * Note that the server sets default instructions which will be used if this field + * is not set and are visible in the `session.created` event at the start of the + * session. + */ + instructions?: string; + + /** + * Maximum number of output tokens for a single assistant response, inclusive of + * tool calls. Provide an integer between 1 and 4096 to limit output tokens, or + * `inf` for the maximum available tokens for a given model. Defaults to `inf`. + */ + max_response_output_tokens?: number | 'inf'; + + /** + * The set of modalities the model can respond with. To disable audio, set this to + * ["text"]. + */ + modalities?: Array<'text' | 'audio'>; + + /** + * The Realtime model used for this session. + */ + model?: + | 'gpt-4o-realtime-preview' + | 'gpt-4o-realtime-preview-2024-10-01' + | 'gpt-4o-realtime-preview-2024-12-17' + | 'gpt-4o-mini-realtime-preview' + | 'gpt-4o-mini-realtime-preview-2024-12-17'; + + /** + * The format of output audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`. + * For `pcm16`, output audio is sampled at a rate of 24kHz. + */ + output_audio_format?: 'pcm16' | 'g711_ulaw' | 'g711_alaw'; + + /** + * Sampling temperature for the model, limited to [0.6, 1.2]. For audio models a + * temperature of 0.8 is highly recommended for best performance. + */ + temperature?: number; + + /** + * How the model chooses tools. Options are `auto`, `none`, `required`, or specify + * a function. + */ + tool_choice?: string; + + /** + * Tools (functions) available to the model. + */ + tools?: Array; + + /** + * Configuration for turn detection, ether Server VAD or Semantic VAD. This can be + * set to `null` to turn off, in which case the client must manually trigger model + * response. Server VAD means that the model will detect the start and end of + * speech based on audio volume and respond at the end of user speech. Semantic VAD + * is more advanced and uses a turn detection model (in conjuction with VAD) to + * semantically estimate whether the user has finished speaking, then dynamically + * sets a timeout based on this probability. For example, if user audio trails off + * with "uhhm", the model will score a low probability of turn end and wait longer + * for the user to continue speaking. This can be useful for more natural + * conversations, but may have a higher latency. + */ + turn_detection?: Session.TurnDetection; + + /** + * The voice the model uses to respond. Voice cannot be changed during the session + * once the model has responded with audio at least once. Current voice options are + * `alloy`, `ash`, `ballad`, `coral`, `echo` `sage`, `shimmer` and `verse`. + */ + voice?: + | (string & {}) + | 'alloy' + | 'ash' + | 'ballad' + | 'coral' + | 'echo' + | 'fable' + | 'onyx' + | 'nova' + | 'sage' + | 'shimmer' + | 'verse'; +} + +export namespace Session { + /** + * Configuration for input audio noise reduction. This can be set to `null` to turn + * off. Noise reduction filters audio added to the input audio buffer before it is + * sent to VAD and the model. Filtering the audio can improve VAD and turn + * detection accuracy (reducing false positives) and model performance by improving + * perception of the input audio. + */ + export interface InputAudioNoiseReduction { + /** + * Type of noise reduction. `near_field` is for close-talking microphones such as + * headphones, `far_field` is for far-field microphones such as laptop or + * conference room microphones. + */ + type?: 'near_field' | 'far_field'; + } + + /** + * Configuration for input audio transcription, defaults to off and can be set to + * `null` to turn off once on. Input audio transcription is not native to the + * model, since the model consumes audio directly. Transcription runs + * asynchronously through + * [the /audio/transcriptions endpoint](https://platform.openai.com/docs/api-reference/audio/createTranscription) + * and should be treated as guidance of input audio content rather than precisely + * what the model heard. The client can optionally set the language and prompt for + * transcription, these offer additional guidance to the transcription service. + */ + export interface InputAudioTranscription { + /** + * The language of the input audio. Supplying the input language in + * [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`) + * format will improve accuracy and latency. + */ + language?: string; + + /** + * The model to use for transcription, current options are `gpt-4o-transcribe`, + * `gpt-4o-mini-transcribe`, and `whisper-1`. + */ + model?: string; + + /** + * An optional text to guide the model's style or continue a previous audio + * segment. For `whisper-1`, the + * [prompt is a list of keywords](https://platform.openai.com/docs/guides/speech-to-text#prompting). + * For `gpt-4o-transcribe` models, the prompt is a free text string, for example + * "expect words related to technology". + */ + prompt?: string; + } + + export interface Tool { + /** + * The description of the function, including guidance on when and how to call it, + * and guidance about what to tell the user when calling (if anything). + */ + description?: string; + + /** + * The name of the function. + */ + name?: string; + + /** + * Parameters of the function in JSON Schema. + */ + parameters?: unknown; + + /** + * The type of the tool, i.e. `function`. + */ + type?: 'function'; + } + + /** + * Configuration for turn detection, ether Server VAD or Semantic VAD. This can be + * set to `null` to turn off, in which case the client must manually trigger model + * response. Server VAD means that the model will detect the start and end of + * speech based on audio volume and respond at the end of user speech. Semantic VAD + * is more advanced and uses a turn detection model (in conjuction with VAD) to + * semantically estimate whether the user has finished speaking, then dynamically + * sets a timeout based on this probability. For example, if user audio trails off + * with "uhhm", the model will score a low probability of turn end and wait longer + * for the user to continue speaking. This can be useful for more natural + * conversations, but may have a higher latency. + */ + export interface TurnDetection { + /** + * Whether or not to automatically generate a response when a VAD stop event + * occurs. + */ + create_response?: boolean; + + /** + * Used only for `semantic_vad` mode. The eagerness of the model to respond. `low` + * will wait longer for the user to continue speaking, `high` will respond more + * quickly. `auto` is the default and is equivalent to `medium`. + */ + eagerness?: 'low' | 'medium' | 'high' | 'auto'; + + /** + * Whether or not to automatically interrupt any ongoing response with output to + * the default conversation (i.e. `conversation` of `auto`) when a VAD start event + * occurs. + */ + interrupt_response?: boolean; + + /** + * Used only for `server_vad` mode. Amount of audio to include before the VAD + * detected speech (in milliseconds). Defaults to 300ms. + */ + prefix_padding_ms?: number; + + /** + * Used only for `server_vad` mode. Duration of silence to detect speech stop (in + * milliseconds). Defaults to 500ms. With shorter values the model will respond + * more quickly, but may jump in on short pauses from the user. + */ + silence_duration_ms?: number; + + /** + * Used only for `server_vad` mode. Activation threshold for VAD (0.0 to 1.0), this + * defaults to 0.5. A higher threshold will require louder audio to activate the + * model, and thus might perform better in noisy environments. + */ + threshold?: number; + + /** + * Type of turn detection. + */ + type?: 'server_vad' | 'semantic_vad'; + } +} + +/** + * A new Realtime session configuration, with an ephermeral key. Default TTL for + * keys is one minute. + */ +export interface SessionCreateResponse { + /** + * Ephemeral key returned by the API. + */ + client_secret: SessionCreateResponse.ClientSecret; + + /** + * The format of input audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`. + */ + input_audio_format?: string; + + /** + * Configuration for input audio transcription, defaults to off and can be set to + * `null` to turn off once on. Input audio transcription is not native to the + * model, since the model consumes audio directly. Transcription runs + * asynchronously through Whisper and should be treated as rough guidance rather + * than the representation understood by the model. + */ + input_audio_transcription?: SessionCreateResponse.InputAudioTranscription; + + /** + * The default system instructions (i.e. system message) prepended to model calls. + * This field allows the client to guide the model on desired responses. The model + * can be instructed on response content and format, (e.g. "be extremely succinct", + * "act friendly", "here are examples of good responses") and on audio behavior + * (e.g. "talk quickly", "inject emotion into your voice", "laugh frequently"). The + * instructions are not guaranteed to be followed by the model, but they provide + * guidance to the model on the desired behavior. + * + * Note that the server sets default instructions which will be used if this field + * is not set and are visible in the `session.created` event at the start of the + * session. + */ + instructions?: string; + + /** + * Maximum number of output tokens for a single assistant response, inclusive of + * tool calls. Provide an integer between 1 and 4096 to limit output tokens, or + * `inf` for the maximum available tokens for a given model. Defaults to `inf`. + */ + max_response_output_tokens?: number | 'inf'; + + /** + * The set of modalities the model can respond with. To disable audio, set this to + * ["text"]. + */ + modalities?: Array<'text' | 'audio'>; + + /** + * The format of output audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`. + */ + output_audio_format?: string; + + /** + * Sampling temperature for the model, limited to [0.6, 1.2]. Defaults to 0.8. + */ + temperature?: number; + + /** + * How the model chooses tools. Options are `auto`, `none`, `required`, or specify + * a function. + */ + tool_choice?: string; + + /** + * Tools (functions) available to the model. + */ + tools?: Array; + + /** + * Configuration for turn detection. Can be set to `null` to turn off. Server VAD + * means that the model will detect the start and end of speech based on audio + * volume and respond at the end of user speech. + */ + turn_detection?: SessionCreateResponse.TurnDetection; + + /** + * The voice the model uses to respond. Voice cannot be changed during the session + * once the model has responded with audio at least once. Current voice options are + * `alloy`, `ash`, `ballad`, `coral`, `echo` `sage`, `shimmer` and `verse`. + */ + voice?: + | (string & {}) + | 'alloy' + | 'ash' + | 'ballad' + | 'coral' + | 'echo' + | 'fable' + | 'onyx' + | 'nova' + | 'sage' + | 'shimmer' + | 'verse'; +} + +export namespace SessionCreateResponse { + /** + * Ephemeral key returned by the API. + */ + export interface ClientSecret { + /** + * Timestamp for when the token expires. Currently, all tokens expire after one + * minute. + */ + expires_at: number; + + /** + * Ephemeral key usable in client environments to authenticate connections to the + * Realtime API. Use this in client-side environments rather than a standard API + * token, which should only be used server-side. + */ + value: string; + } + + /** + * Configuration for input audio transcription, defaults to off and can be set to + * `null` to turn off once on. Input audio transcription is not native to the + * model, since the model consumes audio directly. Transcription runs + * asynchronously through Whisper and should be treated as rough guidance rather + * than the representation understood by the model. + */ + export interface InputAudioTranscription { + /** + * The model to use for transcription, `whisper-1` is the only currently supported + * model. + */ + model?: string; + } + + export interface Tool { + /** + * The description of the function, including guidance on when and how to call it, + * and guidance about what to tell the user when calling (if anything). + */ + description?: string; + + /** + * The name of the function. + */ + name?: string; + + /** + * Parameters of the function in JSON Schema. + */ + parameters?: unknown; + + /** + * The type of the tool, i.e. `function`. + */ + type?: 'function'; + } + + /** + * Configuration for turn detection. Can be set to `null` to turn off. Server VAD + * means that the model will detect the start and end of speech based on audio + * volume and respond at the end of user speech. + */ + export interface TurnDetection { + /** + * Amount of audio to include before the VAD detected speech (in milliseconds). + * Defaults to 300ms. + */ + prefix_padding_ms?: number; + + /** + * Duration of silence to detect speech stop (in milliseconds). Defaults to 500ms. + * With shorter values the model will respond more quickly, but may jump in on + * short pauses from the user. + */ + silence_duration_ms?: number; + + /** + * Activation threshold for VAD (0.0 to 1.0), this defaults to 0.5. A higher + * threshold will require louder audio to activate the model, and thus might + * perform better in noisy environments. + */ + threshold?: number; + + /** + * Type of turn detection, only `server_vad` is currently supported. + */ + type?: string; + } +} + +export interface SessionCreateParams { + /** + * The format of input audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`. For + * `pcm16`, input audio must be 16-bit PCM at a 24kHz sample rate, single channel + * (mono), and little-endian byte order. + */ + input_audio_format?: 'pcm16' | 'g711_ulaw' | 'g711_alaw'; + + /** + * Configuration for input audio noise reduction. This can be set to `null` to turn + * off. Noise reduction filters audio added to the input audio buffer before it is + * sent to VAD and the model. Filtering the audio can improve VAD and turn + * detection accuracy (reducing false positives) and model performance by improving + * perception of the input audio. + */ + input_audio_noise_reduction?: SessionCreateParams.InputAudioNoiseReduction; + + /** + * Configuration for input audio transcription, defaults to off and can be set to + * `null` to turn off once on. Input audio transcription is not native to the + * model, since the model consumes audio directly. Transcription runs + * asynchronously through + * [the /audio/transcriptions endpoint](https://platform.openai.com/docs/api-reference/audio/createTranscription) + * and should be treated as guidance of input audio content rather than precisely + * what the model heard. The client can optionally set the language and prompt for + * transcription, these offer additional guidance to the transcription service. + */ + input_audio_transcription?: SessionCreateParams.InputAudioTranscription; + + /** + * The default system instructions (i.e. system message) prepended to model calls. + * This field allows the client to guide the model on desired responses. The model + * can be instructed on response content and format, (e.g. "be extremely succinct", + * "act friendly", "here are examples of good responses") and on audio behavior + * (e.g. "talk quickly", "inject emotion into your voice", "laugh frequently"). The + * instructions are not guaranteed to be followed by the model, but they provide + * guidance to the model on the desired behavior. + * + * Note that the server sets default instructions which will be used if this field + * is not set and are visible in the `session.created` event at the start of the + * session. + */ + instructions?: string; + + /** + * Maximum number of output tokens for a single assistant response, inclusive of + * tool calls. Provide an integer between 1 and 4096 to limit output tokens, or + * `inf` for the maximum available tokens for a given model. Defaults to `inf`. + */ + max_response_output_tokens?: number | 'inf'; + + /** + * The set of modalities the model can respond with. To disable audio, set this to + * ["text"]. + */ + modalities?: Array<'text' | 'audio'>; + + /** + * The Realtime model used for this session. + */ + model?: + | 'gpt-4o-realtime-preview' + | 'gpt-4o-realtime-preview-2024-10-01' + | 'gpt-4o-realtime-preview-2024-12-17' + | 'gpt-4o-mini-realtime-preview' + | 'gpt-4o-mini-realtime-preview-2024-12-17'; + + /** + * The format of output audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`. + * For `pcm16`, output audio is sampled at a rate of 24kHz. + */ + output_audio_format?: 'pcm16' | 'g711_ulaw' | 'g711_alaw'; + + /** + * Sampling temperature for the model, limited to [0.6, 1.2]. For audio models a + * temperature of 0.8 is highly recommended for best performance. + */ + temperature?: number; + + /** + * How the model chooses tools. Options are `auto`, `none`, `required`, or specify + * a function. + */ + tool_choice?: string; + + /** + * Tools (functions) available to the model. + */ + tools?: Array; + + /** + * Configuration for turn detection, ether Server VAD or Semantic VAD. This can be + * set to `null` to turn off, in which case the client must manually trigger model + * response. Server VAD means that the model will detect the start and end of + * speech based on audio volume and respond at the end of user speech. Semantic VAD + * is more advanced and uses a turn detection model (in conjuction with VAD) to + * semantically estimate whether the user has finished speaking, then dynamically + * sets a timeout based on this probability. For example, if user audio trails off + * with "uhhm", the model will score a low probability of turn end and wait longer + * for the user to continue speaking. This can be useful for more natural + * conversations, but may have a higher latency. + */ + turn_detection?: SessionCreateParams.TurnDetection; + + /** + * The voice the model uses to respond. Voice cannot be changed during the session + * once the model has responded with audio at least once. Current voice options are + * `alloy`, `ash`, `ballad`, `coral`, `echo`, `fable`, `onyx`, `nova`, `sage`, + * `shimmer`, and `verse`. + */ + voice?: + | (string & {}) + | 'alloy' + | 'ash' + | 'ballad' + | 'coral' + | 'echo' + | 'fable' + | 'onyx' + | 'nova' + | 'sage' + | 'shimmer' + | 'verse'; +} + +export namespace SessionCreateParams { + /** + * Configuration for input audio noise reduction. This can be set to `null` to turn + * off. Noise reduction filters audio added to the input audio buffer before it is + * sent to VAD and the model. Filtering the audio can improve VAD and turn + * detection accuracy (reducing false positives) and model performance by improving + * perception of the input audio. + */ + export interface InputAudioNoiseReduction { + /** + * Type of noise reduction. `near_field` is for close-talking microphones such as + * headphones, `far_field` is for far-field microphones such as laptop or + * conference room microphones. + */ + type?: 'near_field' | 'far_field'; + } + + /** + * Configuration for input audio transcription, defaults to off and can be set to + * `null` to turn off once on. Input audio transcription is not native to the + * model, since the model consumes audio directly. Transcription runs + * asynchronously through + * [the /audio/transcriptions endpoint](https://platform.openai.com/docs/api-reference/audio/createTranscription) + * and should be treated as guidance of input audio content rather than precisely + * what the model heard. The client can optionally set the language and prompt for + * transcription, these offer additional guidance to the transcription service. + */ + export interface InputAudioTranscription { + /** + * The language of the input audio. Supplying the input language in + * [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`) + * format will improve accuracy and latency. + */ + language?: string; + + /** + * The model to use for transcription, current options are `gpt-4o-transcribe`, + * `gpt-4o-mini-transcribe`, and `whisper-1`. + */ + model?: string; + + /** + * An optional text to guide the model's style or continue a previous audio + * segment. For `whisper-1`, the + * [prompt is a list of keywords](https://platform.openai.com/docs/guides/speech-to-text#prompting). + * For `gpt-4o-transcribe` models, the prompt is a free text string, for example + * "expect words related to technology". + */ + prompt?: string; + } + + export interface Tool { + /** + * The description of the function, including guidance on when and how to call it, + * and guidance about what to tell the user when calling (if anything). + */ + description?: string; + + /** + * The name of the function. + */ + name?: string; + + /** + * Parameters of the function in JSON Schema. + */ + parameters?: unknown; + + /** + * The type of the tool, i.e. `function`. + */ + type?: 'function'; + } + + /** + * Configuration for turn detection, ether Server VAD or Semantic VAD. This can be + * set to `null` to turn off, in which case the client must manually trigger model + * response. Server VAD means that the model will detect the start and end of + * speech based on audio volume and respond at the end of user speech. Semantic VAD + * is more advanced and uses a turn detection model (in conjuction with VAD) to + * semantically estimate whether the user has finished speaking, then dynamically + * sets a timeout based on this probability. For example, if user audio trails off + * with "uhhm", the model will score a low probability of turn end and wait longer + * for the user to continue speaking. This can be useful for more natural + * conversations, but may have a higher latency. + */ + export interface TurnDetection { + /** + * Whether or not to automatically generate a response when a VAD stop event + * occurs. + */ + create_response?: boolean; + + /** + * Used only for `semantic_vad` mode. The eagerness of the model to respond. `low` + * will wait longer for the user to continue speaking, `high` will respond more + * quickly. `auto` is the default and is equivalent to `medium`. + */ + eagerness?: 'low' | 'medium' | 'high' | 'auto'; + + /** + * Whether or not to automatically interrupt any ongoing response with output to + * the default conversation (i.e. `conversation` of `auto`) when a VAD start event + * occurs. + */ + interrupt_response?: boolean; + + /** + * Used only for `server_vad` mode. Amount of audio to include before the VAD + * detected speech (in milliseconds). Defaults to 300ms. + */ + prefix_padding_ms?: number; + + /** + * Used only for `server_vad` mode. Duration of silence to detect speech stop (in + * milliseconds). Defaults to 500ms. With shorter values the model will respond + * more quickly, but may jump in on short pauses from the user. + */ + silence_duration_ms?: number; + + /** + * Used only for `server_vad` mode. Activation threshold for VAD (0.0 to 1.0), this + * defaults to 0.5. A higher threshold will require louder audio to activate the + * model, and thus might perform better in noisy environments. + */ + threshold?: number; + + /** + * Type of turn detection. + */ + type?: 'server_vad' | 'semantic_vad'; + } +} + +export declare namespace Sessions { + export { + type Session as Session, + type SessionCreateResponse as SessionCreateResponse, + type SessionCreateParams as SessionCreateParams, + }; +} diff --git a/src/resources/beta/realtime/transcription-sessions.ts b/src/resources/beta/realtime/transcription-sessions.ts new file mode 100644 index 000000000..83e8c47ad --- /dev/null +++ b/src/resources/beta/realtime/transcription-sessions.ts @@ -0,0 +1,314 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../../resource'; +import * as Core from '../../../core'; + +export class TranscriptionSessions extends APIResource { + /** + * Create an ephemeral API token for use in client-side applications with the + * Realtime API specifically for realtime transcriptions. Can be configured with + * the same session parameters as the `transcription_session.update` client event. + * + * It responds with a session object, plus a `client_secret` key which contains a + * usable ephemeral API token that can be used to authenticate browser clients for + * the Realtime API. + * + * @example + * ```ts + * const transcriptionSession = + * await client.beta.realtime.transcriptionSessions.create(); + * ``` + */ + create( + body: TranscriptionSessionCreateParams, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this._client.post('/realtime/transcription_sessions', { + body, + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } +} + +/** + * A new Realtime transcription session configuration. + * + * When a session is created on the server via REST API, the session object also + * contains an ephemeral key. Default TTL for keys is 10 minutes. This property is + * not present when a session is updated via the WebSocket API. + */ +export interface TranscriptionSession { + /** + * Ephemeral key returned by the API. Only present when the session is created on + * the server via REST API. + */ + client_secret: TranscriptionSession.ClientSecret; + + /** + * The format of input audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`. + */ + input_audio_format?: string; + + /** + * Configuration of the transcription model. + */ + input_audio_transcription?: TranscriptionSession.InputAudioTranscription; + + /** + * The set of modalities the model can respond with. To disable audio, set this to + * ["text"]. + */ + modalities?: Array<'text' | 'audio'>; + + /** + * Configuration for turn detection. Can be set to `null` to turn off. Server VAD + * means that the model will detect the start and end of speech based on audio + * volume and respond at the end of user speech. + */ + turn_detection?: TranscriptionSession.TurnDetection; +} + +export namespace TranscriptionSession { + /** + * Ephemeral key returned by the API. Only present when the session is created on + * the server via REST API. + */ + export interface ClientSecret { + /** + * Timestamp for when the token expires. Currently, all tokens expire after one + * minute. + */ + expires_at: number; + + /** + * Ephemeral key usable in client environments to authenticate connections to the + * Realtime API. Use this in client-side environments rather than a standard API + * token, which should only be used server-side. + */ + value: string; + } + + /** + * Configuration of the transcription model. + */ + export interface InputAudioTranscription { + /** + * The language of the input audio. Supplying the input language in + * [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`) + * format will improve accuracy and latency. + */ + language?: string; + + /** + * The model to use for transcription. Can be `gpt-4o-transcribe`, + * `gpt-4o-mini-transcribe`, or `whisper-1`. + */ + model?: 'gpt-4o-transcribe' | 'gpt-4o-mini-transcribe' | 'whisper-1'; + + /** + * An optional text to guide the model's style or continue a previous audio + * segment. The + * [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting) + * should match the audio language. + */ + prompt?: string; + } + + /** + * Configuration for turn detection. Can be set to `null` to turn off. Server VAD + * means that the model will detect the start and end of speech based on audio + * volume and respond at the end of user speech. + */ + export interface TurnDetection { + /** + * Amount of audio to include before the VAD detected speech (in milliseconds). + * Defaults to 300ms. + */ + prefix_padding_ms?: number; + + /** + * Duration of silence to detect speech stop (in milliseconds). Defaults to 500ms. + * With shorter values the model will respond more quickly, but may jump in on + * short pauses from the user. + */ + silence_duration_ms?: number; + + /** + * Activation threshold for VAD (0.0 to 1.0), this defaults to 0.5. A higher + * threshold will require louder audio to activate the model, and thus might + * perform better in noisy environments. + */ + threshold?: number; + + /** + * Type of turn detection, only `server_vad` is currently supported. + */ + type?: string; + } +} + +export interface TranscriptionSessionCreateParams { + /** + * The set of items to include in the transcription. Current available items are: + * + * - `item.input_audio_transcription.logprobs` + */ + include?: Array; + + /** + * The format of input audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`. For + * `pcm16`, input audio must be 16-bit PCM at a 24kHz sample rate, single channel + * (mono), and little-endian byte order. + */ + input_audio_format?: 'pcm16' | 'g711_ulaw' | 'g711_alaw'; + + /** + * Configuration for input audio noise reduction. This can be set to `null` to turn + * off. Noise reduction filters audio added to the input audio buffer before it is + * sent to VAD and the model. Filtering the audio can improve VAD and turn + * detection accuracy (reducing false positives) and model performance by improving + * perception of the input audio. + */ + input_audio_noise_reduction?: TranscriptionSessionCreateParams.InputAudioNoiseReduction; + + /** + * Configuration for input audio transcription. The client can optionally set the + * language and prompt for transcription, these offer additional guidance to the + * transcription service. + */ + input_audio_transcription?: TranscriptionSessionCreateParams.InputAudioTranscription; + + /** + * The set of modalities the model can respond with. To disable audio, set this to + * ["text"]. + */ + modalities?: Array<'text' | 'audio'>; + + /** + * Configuration for turn detection, ether Server VAD or Semantic VAD. This can be + * set to `null` to turn off, in which case the client must manually trigger model + * response. Server VAD means that the model will detect the start and end of + * speech based on audio volume and respond at the end of user speech. Semantic VAD + * is more advanced and uses a turn detection model (in conjuction with VAD) to + * semantically estimate whether the user has finished speaking, then dynamically + * sets a timeout based on this probability. For example, if user audio trails off + * with "uhhm", the model will score a low probability of turn end and wait longer + * for the user to continue speaking. This can be useful for more natural + * conversations, but may have a higher latency. + */ + turn_detection?: TranscriptionSessionCreateParams.TurnDetection; +} + +export namespace TranscriptionSessionCreateParams { + /** + * Configuration for input audio noise reduction. This can be set to `null` to turn + * off. Noise reduction filters audio added to the input audio buffer before it is + * sent to VAD and the model. Filtering the audio can improve VAD and turn + * detection accuracy (reducing false positives) and model performance by improving + * perception of the input audio. + */ + export interface InputAudioNoiseReduction { + /** + * Type of noise reduction. `near_field` is for close-talking microphones such as + * headphones, `far_field` is for far-field microphones such as laptop or + * conference room microphones. + */ + type?: 'near_field' | 'far_field'; + } + + /** + * Configuration for input audio transcription. The client can optionally set the + * language and prompt for transcription, these offer additional guidance to the + * transcription service. + */ + export interface InputAudioTranscription { + /** + * The language of the input audio. Supplying the input language in + * [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`) + * format will improve accuracy and latency. + */ + language?: string; + + /** + * The model to use for transcription, current options are `gpt-4o-transcribe`, + * `gpt-4o-mini-transcribe`, and `whisper-1`. + */ + model?: 'gpt-4o-transcribe' | 'gpt-4o-mini-transcribe' | 'whisper-1'; + + /** + * An optional text to guide the model's style or continue a previous audio + * segment. For `whisper-1`, the + * [prompt is a list of keywords](https://platform.openai.com/docs/guides/speech-to-text#prompting). + * For `gpt-4o-transcribe` models, the prompt is a free text string, for example + * "expect words related to technology". + */ + prompt?: string; + } + + /** + * Configuration for turn detection, ether Server VAD or Semantic VAD. This can be + * set to `null` to turn off, in which case the client must manually trigger model + * response. Server VAD means that the model will detect the start and end of + * speech based on audio volume and respond at the end of user speech. Semantic VAD + * is more advanced and uses a turn detection model (in conjuction with VAD) to + * semantically estimate whether the user has finished speaking, then dynamically + * sets a timeout based on this probability. For example, if user audio trails off + * with "uhhm", the model will score a low probability of turn end and wait longer + * for the user to continue speaking. This can be useful for more natural + * conversations, but may have a higher latency. + */ + export interface TurnDetection { + /** + * Whether or not to automatically generate a response when a VAD stop event + * occurs. Not available for transcription sessions. + */ + create_response?: boolean; + + /** + * Used only for `semantic_vad` mode. The eagerness of the model to respond. `low` + * will wait longer for the user to continue speaking, `high` will respond more + * quickly. `auto` is the default and is equivalent to `medium`. + */ + eagerness?: 'low' | 'medium' | 'high' | 'auto'; + + /** + * Whether or not to automatically interrupt any ongoing response with output to + * the default conversation (i.e. `conversation` of `auto`) when a VAD start event + * occurs. Not available for transcription sessions. + */ + interrupt_response?: boolean; + + /** + * Used only for `server_vad` mode. Amount of audio to include before the VAD + * detected speech (in milliseconds). Defaults to 300ms. + */ + prefix_padding_ms?: number; + + /** + * Used only for `server_vad` mode. Duration of silence to detect speech stop (in + * milliseconds). Defaults to 500ms. With shorter values the model will respond + * more quickly, but may jump in on short pauses from the user. + */ + silence_duration_ms?: number; + + /** + * Used only for `server_vad` mode. Activation threshold for VAD (0.0 to 1.0), this + * defaults to 0.5. A higher threshold will require louder audio to activate the + * model, and thus might perform better in noisy environments. + */ + threshold?: number; + + /** + * Type of turn detection. + */ + type?: 'server_vad' | 'semantic_vad'; + } +} + +export declare namespace TranscriptionSessions { + export { + type TranscriptionSession as TranscriptionSession, + type TranscriptionSessionCreateParams as TranscriptionSessionCreateParams, + }; +} diff --git a/src/resources/beta/threads/index.ts b/src/resources/beta/threads/index.ts new file mode 100644 index 000000000..f67a1edde --- /dev/null +++ b/src/resources/beta/threads/index.ts @@ -0,0 +1,73 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +export { + MessagesPage, + Messages, + type Annotation, + type AnnotationDelta, + type FileCitationAnnotation, + type FileCitationDeltaAnnotation, + type FilePathAnnotation, + type FilePathDeltaAnnotation, + type ImageFile, + type ImageFileContentBlock, + type ImageFileDelta, + type ImageFileDeltaBlock, + type ImageURL, + type ImageURLContentBlock, + type ImageURLDelta, + type ImageURLDeltaBlock, + type Message, + type MessageContent, + type MessageContentDelta, + type MessageContentPartParam, + type MessageDeleted, + type MessageDelta, + type MessageDeltaEvent, + type RefusalContentBlock, + type RefusalDeltaBlock, + type Text, + type TextContentBlock, + type TextContentBlockParam, + type TextDelta, + type TextDeltaBlock, + type MessageCreateParams, + type MessageUpdateParams, + type MessageListParams, +} from './messages'; +export { + RunsPage, + Runs, + type RequiredActionFunctionToolCall, + type Run, + type RunStatus, + type RunCreateParams, + type RunCreateParamsNonStreaming, + type RunCreateParamsStreaming, + type RunUpdateParams, + type RunListParams, + type RunSubmitToolOutputsParams, + type RunSubmitToolOutputsParamsNonStreaming, + type RunSubmitToolOutputsParamsStreaming, + type RunCreateAndPollParams, + type RunCreateAndStreamParams, + type RunStreamParams, + type RunSubmitToolOutputsAndPollParams, + type RunSubmitToolOutputsStreamParams, +} from './runs/index'; +export { + Threads, + type AssistantResponseFormatOption, + type AssistantToolChoice, + type AssistantToolChoiceFunction, + type AssistantToolChoiceOption, + type Thread, + type ThreadDeleted, + type ThreadCreateParams, + type ThreadUpdateParams, + type ThreadCreateAndRunParams, + type ThreadCreateAndRunParamsNonStreaming, + type ThreadCreateAndRunParamsStreaming, + type ThreadCreateAndRunPollParams, + type ThreadCreateAndRunStreamParams, +} from './threads'; diff --git a/src/resources/beta/threads/messages.ts b/src/resources/beta/threads/messages.ts new file mode 100644 index 000000000..c3834ebe6 --- /dev/null +++ b/src/resources/beta/threads/messages.ts @@ -0,0 +1,811 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../../resource'; +import { isRequestOptions } from '../../../core'; +import * as Core from '../../../core'; +import * as Shared from '../../shared'; +import * as AssistantsAPI from '../assistants'; +import { CursorPage, type CursorPageParams } from '../../../pagination'; + +export class Messages extends APIResource { + /** + * Create a message. + * + * @example + * ```ts + * const message = await client.beta.threads.messages.create( + * 'thread_id', + * { content: 'string', role: 'user' }, + * ); + * ``` + */ + create( + threadId: string, + body: MessageCreateParams, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this._client.post(`/threads/${threadId}/messages`, { + body, + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Retrieve a message. + * + * @example + * ```ts + * const message = await client.beta.threads.messages.retrieve( + * 'thread_id', + * 'message_id', + * ); + * ``` + */ + retrieve(threadId: string, messageId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.get(`/threads/${threadId}/messages/${messageId}`, { + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Modifies a message. + * + * @example + * ```ts + * const message = await client.beta.threads.messages.update( + * 'thread_id', + * 'message_id', + * ); + * ``` + */ + update( + threadId: string, + messageId: string, + body: MessageUpdateParams, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this._client.post(`/threads/${threadId}/messages/${messageId}`, { + body, + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Returns a list of messages for a given thread. + * + * @example + * ```ts + * // Automatically fetches more pages as needed. + * for await (const message of client.beta.threads.messages.list( + * 'thread_id', + * )) { + * // ... + * } + * ``` + */ + list( + threadId: string, + query?: MessageListParams, + options?: Core.RequestOptions, + ): Core.PagePromise; + list(threadId: string, options?: Core.RequestOptions): Core.PagePromise; + list( + threadId: string, + query: MessageListParams | Core.RequestOptions = {}, + options?: Core.RequestOptions, + ): Core.PagePromise { + if (isRequestOptions(query)) { + return this.list(threadId, {}, query); + } + return this._client.getAPIList(`/threads/${threadId}/messages`, MessagesPage, { + query, + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Deletes a message. + * + * @example + * ```ts + * const messageDeleted = + * await client.beta.threads.messages.del( + * 'thread_id', + * 'message_id', + * ); + * ``` + */ + del(threadId: string, messageId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.delete(`/threads/${threadId}/messages/${messageId}`, { + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } +} + +export class MessagesPage extends CursorPage {} + +/** + * A citation within the message that points to a specific quote from a specific + * File associated with the assistant or the message. Generated when the assistant + * uses the "file_search" tool to search files. + */ +export type Annotation = FileCitationAnnotation | FilePathAnnotation; + +/** + * A citation within the message that points to a specific quote from a specific + * File associated with the assistant or the message. Generated when the assistant + * uses the "file_search" tool to search files. + */ +export type AnnotationDelta = FileCitationDeltaAnnotation | FilePathDeltaAnnotation; + +/** + * A citation within the message that points to a specific quote from a specific + * File associated with the assistant or the message. Generated when the assistant + * uses the "file_search" tool to search files. + */ +export interface FileCitationAnnotation { + end_index: number; + + file_citation: FileCitationAnnotation.FileCitation; + + start_index: number; + + /** + * The text in the message content that needs to be replaced. + */ + text: string; + + /** + * Always `file_citation`. + */ + type: 'file_citation'; +} + +export namespace FileCitationAnnotation { + export interface FileCitation { + /** + * The ID of the specific File the citation is from. + */ + file_id: string; + } +} + +/** + * A citation within the message that points to a specific quote from a specific + * File associated with the assistant or the message. Generated when the assistant + * uses the "file_search" tool to search files. + */ +export interface FileCitationDeltaAnnotation { + /** + * The index of the annotation in the text content part. + */ + index: number; + + /** + * Always `file_citation`. + */ + type: 'file_citation'; + + end_index?: number; + + file_citation?: FileCitationDeltaAnnotation.FileCitation; + + start_index?: number; + + /** + * The text in the message content that needs to be replaced. + */ + text?: string; +} + +export namespace FileCitationDeltaAnnotation { + export interface FileCitation { + /** + * The ID of the specific File the citation is from. + */ + file_id?: string; + + /** + * The specific quote in the file. + */ + quote?: string; + } +} + +/** + * A URL for the file that's generated when the assistant used the + * `code_interpreter` tool to generate a file. + */ +export interface FilePathAnnotation { + end_index: number; + + file_path: FilePathAnnotation.FilePath; + + start_index: number; + + /** + * The text in the message content that needs to be replaced. + */ + text: string; + + /** + * Always `file_path`. + */ + type: 'file_path'; +} + +export namespace FilePathAnnotation { + export interface FilePath { + /** + * The ID of the file that was generated. + */ + file_id: string; + } +} + +/** + * A URL for the file that's generated when the assistant used the + * `code_interpreter` tool to generate a file. + */ +export interface FilePathDeltaAnnotation { + /** + * The index of the annotation in the text content part. + */ + index: number; + + /** + * Always `file_path`. + */ + type: 'file_path'; + + end_index?: number; + + file_path?: FilePathDeltaAnnotation.FilePath; + + start_index?: number; + + /** + * The text in the message content that needs to be replaced. + */ + text?: string; +} + +export namespace FilePathDeltaAnnotation { + export interface FilePath { + /** + * The ID of the file that was generated. + */ + file_id?: string; + } +} + +export interface ImageFile { + /** + * The [File](https://platform.openai.com/docs/api-reference/files) ID of the image + * in the message content. Set `purpose="vision"` when uploading the File if you + * need to later display the file content. + */ + file_id: string; + + /** + * Specifies the detail level of the image if specified by the user. `low` uses + * fewer tokens, you can opt in to high resolution using `high`. + */ + detail?: 'auto' | 'low' | 'high'; +} + +/** + * References an image [File](https://platform.openai.com/docs/api-reference/files) + * in the content of a message. + */ +export interface ImageFileContentBlock { + image_file: ImageFile; + + /** + * Always `image_file`. + */ + type: 'image_file'; +} + +export interface ImageFileDelta { + /** + * Specifies the detail level of the image if specified by the user. `low` uses + * fewer tokens, you can opt in to high resolution using `high`. + */ + detail?: 'auto' | 'low' | 'high'; + + /** + * The [File](https://platform.openai.com/docs/api-reference/files) ID of the image + * in the message content. Set `purpose="vision"` when uploading the File if you + * need to later display the file content. + */ + file_id?: string; +} + +/** + * References an image [File](https://platform.openai.com/docs/api-reference/files) + * in the content of a message. + */ +export interface ImageFileDeltaBlock { + /** + * The index of the content part in the message. + */ + index: number; + + /** + * Always `image_file`. + */ + type: 'image_file'; + + image_file?: ImageFileDelta; +} + +export interface ImageURL { + /** + * The external URL of the image, must be a supported image types: jpeg, jpg, png, + * gif, webp. + */ + url: string; + + /** + * Specifies the detail level of the image. `low` uses fewer tokens, you can opt in + * to high resolution using `high`. Default value is `auto` + */ + detail?: 'auto' | 'low' | 'high'; +} + +/** + * References an image URL in the content of a message. + */ +export interface ImageURLContentBlock { + image_url: ImageURL; + + /** + * The type of the content part. + */ + type: 'image_url'; +} + +export interface ImageURLDelta { + /** + * Specifies the detail level of the image. `low` uses fewer tokens, you can opt in + * to high resolution using `high`. + */ + detail?: 'auto' | 'low' | 'high'; + + /** + * The URL of the image, must be a supported image types: jpeg, jpg, png, gif, + * webp. + */ + url?: string; +} + +/** + * References an image URL in the content of a message. + */ +export interface ImageURLDeltaBlock { + /** + * The index of the content part in the message. + */ + index: number; + + /** + * Always `image_url`. + */ + type: 'image_url'; + + image_url?: ImageURLDelta; +} + +/** + * Represents a message within a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ +export interface Message { + /** + * The identifier, which can be referenced in API endpoints. + */ + id: string; + + /** + * If applicable, the ID of the + * [assistant](https://platform.openai.com/docs/api-reference/assistants) that + * authored this message. + */ + assistant_id: string | null; + + /** + * A list of files attached to the message, and the tools they were added to. + */ + attachments: Array | null; + + /** + * The Unix timestamp (in seconds) for when the message was completed. + */ + completed_at: number | null; + + /** + * The content of the message in array of text and/or images. + */ + content: Array; + + /** + * The Unix timestamp (in seconds) for when the message was created. + */ + created_at: number; + + /** + * The Unix timestamp (in seconds) for when the message was marked as incomplete. + */ + incomplete_at: number | null; + + /** + * On an incomplete message, details about why the message is incomplete. + */ + incomplete_details: Message.IncompleteDetails | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata: Shared.Metadata | null; + + /** + * The object type, which is always `thread.message`. + */ + object: 'thread.message'; + + /** + * The entity that produced the message. One of `user` or `assistant`. + */ + role: 'user' | 'assistant'; + + /** + * The ID of the [run](https://platform.openai.com/docs/api-reference/runs) + * associated with the creation of this message. Value is `null` when messages are + * created manually using the create message or create thread endpoints. + */ + run_id: string | null; + + /** + * The status of the message, which can be either `in_progress`, `incomplete`, or + * `completed`. + */ + status: 'in_progress' | 'incomplete' | 'completed'; + + /** + * The [thread](https://platform.openai.com/docs/api-reference/threads) ID that + * this message belongs to. + */ + thread_id: string; +} + +export namespace Message { + export interface Attachment { + /** + * The ID of the file to attach to the message. + */ + file_id?: string; + + /** + * The tools to add this file to. + */ + tools?: Array; + } + + export namespace Attachment { + export interface AssistantToolsFileSearchTypeOnly { + /** + * The type of tool being defined: `file_search` + */ + type: 'file_search'; + } + } + + /** + * On an incomplete message, details about why the message is incomplete. + */ + export interface IncompleteDetails { + /** + * The reason the message is incomplete. + */ + reason: 'content_filter' | 'max_tokens' | 'run_cancelled' | 'run_expired' | 'run_failed'; + } +} + +/** + * References an image [File](https://platform.openai.com/docs/api-reference/files) + * in the content of a message. + */ +export type MessageContent = + | ImageFileContentBlock + | ImageURLContentBlock + | TextContentBlock + | RefusalContentBlock; + +/** + * References an image [File](https://platform.openai.com/docs/api-reference/files) + * in the content of a message. + */ +export type MessageContentDelta = + | ImageFileDeltaBlock + | TextDeltaBlock + | RefusalDeltaBlock + | ImageURLDeltaBlock; + +/** + * References an image [File](https://platform.openai.com/docs/api-reference/files) + * in the content of a message. + */ +export type MessageContentPartParam = ImageFileContentBlock | ImageURLContentBlock | TextContentBlockParam; + +export interface MessageDeleted { + id: string; + + deleted: boolean; + + object: 'thread.message.deleted'; +} + +/** + * The delta containing the fields that have changed on the Message. + */ +export interface MessageDelta { + /** + * The content of the message in array of text and/or images. + */ + content?: Array; + + /** + * The entity that produced the message. One of `user` or `assistant`. + */ + role?: 'user' | 'assistant'; +} + +/** + * Represents a message delta i.e. any changed fields on a message during + * streaming. + */ +export interface MessageDeltaEvent { + /** + * The identifier of the message, which can be referenced in API endpoints. + */ + id: string; + + /** + * The delta containing the fields that have changed on the Message. + */ + delta: MessageDelta; + + /** + * The object type, which is always `thread.message.delta`. + */ + object: 'thread.message.delta'; +} + +/** + * The refusal content generated by the assistant. + */ +export interface RefusalContentBlock { + refusal: string; + + /** + * Always `refusal`. + */ + type: 'refusal'; +} + +/** + * The refusal content that is part of a message. + */ +export interface RefusalDeltaBlock { + /** + * The index of the refusal part in the message. + */ + index: number; + + /** + * Always `refusal`. + */ + type: 'refusal'; + + refusal?: string; +} + +export interface Text { + annotations: Array; + + /** + * The data that makes up the text. + */ + value: string; +} + +/** + * The text content that is part of a message. + */ +export interface TextContentBlock { + text: Text; + + /** + * Always `text`. + */ + type: 'text'; +} + +/** + * The text content that is part of a message. + */ +export interface TextContentBlockParam { + /** + * Text content to be sent to the model + */ + text: string; + + /** + * Always `text`. + */ + type: 'text'; +} + +export interface TextDelta { + annotations?: Array; + + /** + * The data that makes up the text. + */ + value?: string; +} + +/** + * The text content that is part of a message. + */ +export interface TextDeltaBlock { + /** + * The index of the content part in the message. + */ + index: number; + + /** + * Always `text`. + */ + type: 'text'; + + text?: TextDelta; +} + +export interface MessageCreateParams { + /** + * The text contents of the message. + */ + content: string | Array; + + /** + * The role of the entity that is creating the message. Allowed values include: + * + * - `user`: Indicates the message is sent by an actual user and should be used in + * most cases to represent user-generated messages. + * - `assistant`: Indicates the message is generated by the assistant. Use this + * value to insert messages from the assistant into the conversation. + */ + role: 'user' | 'assistant'; + + /** + * A list of files attached to the message, and the tools they should be added to. + */ + attachments?: Array | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; +} + +export namespace MessageCreateParams { + export interface Attachment { + /** + * The ID of the file to attach to the message. + */ + file_id?: string; + + /** + * The tools to add this file to. + */ + tools?: Array; + } + + export namespace Attachment { + export interface FileSearch { + /** + * The type of tool being defined: `file_search` + */ + type: 'file_search'; + } + } +} + +export interface MessageUpdateParams { + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; +} + +export interface MessageListParams extends CursorPageParams { + /** + * A cursor for use in pagination. `before` is an object ID that defines your place + * in the list. For instance, if you make a list request and receive 100 objects, + * starting with obj_foo, your subsequent call can include before=obj_foo in order + * to fetch the previous page of the list. + */ + before?: string; + + /** + * Sort order by the `created_at` timestamp of the objects. `asc` for ascending + * order and `desc` for descending order. + */ + order?: 'asc' | 'desc'; + + /** + * Filter messages by the run ID that generated them. + */ + run_id?: string; +} + +Messages.MessagesPage = MessagesPage; + +export declare namespace Messages { + export { + type Annotation as Annotation, + type AnnotationDelta as AnnotationDelta, + type FileCitationAnnotation as FileCitationAnnotation, + type FileCitationDeltaAnnotation as FileCitationDeltaAnnotation, + type FilePathAnnotation as FilePathAnnotation, + type FilePathDeltaAnnotation as FilePathDeltaAnnotation, + type ImageFile as ImageFile, + type ImageFileContentBlock as ImageFileContentBlock, + type ImageFileDelta as ImageFileDelta, + type ImageFileDeltaBlock as ImageFileDeltaBlock, + type ImageURL as ImageURL, + type ImageURLContentBlock as ImageURLContentBlock, + type ImageURLDelta as ImageURLDelta, + type ImageURLDeltaBlock as ImageURLDeltaBlock, + type Message as Message, + type MessageContent as MessageContent, + type MessageContentDelta as MessageContentDelta, + type MessageContentPartParam as MessageContentPartParam, + type MessageDeleted as MessageDeleted, + type MessageDelta as MessageDelta, + type MessageDeltaEvent as MessageDeltaEvent, + type RefusalContentBlock as RefusalContentBlock, + type RefusalDeltaBlock as RefusalDeltaBlock, + type Text as Text, + type TextContentBlock as TextContentBlock, + type TextContentBlockParam as TextContentBlockParam, + type TextDelta as TextDelta, + type TextDeltaBlock as TextDeltaBlock, + MessagesPage as MessagesPage, + type MessageCreateParams as MessageCreateParams, + type MessageUpdateParams as MessageUpdateParams, + type MessageListParams as MessageListParams, + }; +} diff --git a/src/resources/beta/threads/runs/index.ts b/src/resources/beta/threads/runs/index.ts new file mode 100644 index 000000000..9dbe575bc --- /dev/null +++ b/src/resources/beta/threads/runs/index.ts @@ -0,0 +1,46 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +export { + RunStepsPage, + Steps, + type CodeInterpreterLogs, + type CodeInterpreterOutputImage, + type CodeInterpreterToolCall, + type CodeInterpreterToolCallDelta, + type FileSearchToolCall, + type FileSearchToolCallDelta, + type FunctionToolCall, + type FunctionToolCallDelta, + type MessageCreationStepDetails, + type RunStep, + type RunStepDelta, + type RunStepDeltaEvent, + type RunStepDeltaMessageDelta, + type RunStepInclude, + type ToolCall, + type ToolCallDelta, + type ToolCallDeltaObject, + type ToolCallsStepDetails, + type StepRetrieveParams, + type StepListParams, +} from './steps'; +export { + RunsPage, + Runs, + type RequiredActionFunctionToolCall, + type Run, + type RunStatus, + type RunCreateParams, + type RunCreateParamsNonStreaming, + type RunCreateParamsStreaming, + type RunUpdateParams, + type RunListParams, + type RunCreateAndPollParams, + type RunCreateAndStreamParams, + type RunStreamParams, + type RunSubmitToolOutputsParams, + type RunSubmitToolOutputsParamsNonStreaming, + type RunSubmitToolOutputsParamsStreaming, + type RunSubmitToolOutputsAndPollParams, + type RunSubmitToolOutputsStreamParams, +} from './runs'; diff --git a/src/resources/beta/threads/runs/runs.ts b/src/resources/beta/threads/runs/runs.ts new file mode 100644 index 000000000..25356df3c --- /dev/null +++ b/src/resources/beta/threads/runs/runs.ts @@ -0,0 +1,1765 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../../../resource'; +import { isRequestOptions } from '../../../../core'; +import { APIPromise } from '../../../../core'; +import * as Core from '../../../../core'; +import { AssistantStream, RunCreateParamsBaseStream } from '../../../../lib/AssistantStream'; +import { sleep } from '../../../../core'; +import { RunSubmitToolOutputsParamsStream } from '../../../../lib/AssistantStream'; +import * as RunsAPI from './runs'; +import * as Shared from '../../../shared'; +import * as AssistantsAPI from '../../assistants'; +import * as MessagesAPI from '../messages'; +import * as ThreadsAPI from '../threads'; +import * as StepsAPI from './steps'; +import { + CodeInterpreterLogs, + CodeInterpreterOutputImage, + CodeInterpreterToolCall, + CodeInterpreterToolCallDelta, + FileSearchToolCall, + FileSearchToolCallDelta, + FunctionToolCall, + FunctionToolCallDelta, + MessageCreationStepDetails, + RunStep, + RunStepDelta, + RunStepDeltaEvent, + RunStepDeltaMessageDelta, + RunStepInclude, + RunStepsPage, + StepListParams, + StepRetrieveParams, + Steps, + ToolCall, + ToolCallDelta, + ToolCallDeltaObject, + ToolCallsStepDetails, +} from './steps'; +import { CursorPage, type CursorPageParams } from '../../../../pagination'; +import { Stream } from '../../../../streaming'; + +export class Runs extends APIResource { + steps: StepsAPI.Steps = new StepsAPI.Steps(this._client); + + /** + * Create a run. + * + * @example + * ```ts + * const run = await client.beta.threads.runs.create( + * 'thread_id', + * { assistant_id: 'assistant_id' }, + * ); + * ``` + */ + create( + threadId: string, + params: RunCreateParamsNonStreaming, + options?: Core.RequestOptions, + ): APIPromise; + create( + threadId: string, + params: RunCreateParamsStreaming, + options?: Core.RequestOptions, + ): APIPromise>; + create( + threadId: string, + params: RunCreateParamsBase, + options?: Core.RequestOptions, + ): APIPromise | Run>; + create( + threadId: string, + params: RunCreateParams, + options?: Core.RequestOptions, + ): APIPromise | APIPromise> { + const { include, ...body } = params; + return this._client.post(`/threads/${threadId}/runs`, { + query: { include }, + body, + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + stream: params.stream ?? false, + }) as APIPromise | APIPromise>; + } + + /** + * Retrieves a run. + * + * @example + * ```ts + * const run = await client.beta.threads.runs.retrieve( + * 'thread_id', + * 'run_id', + * ); + * ``` + */ + retrieve(threadId: string, runId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.get(`/threads/${threadId}/runs/${runId}`, { + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Modifies a run. + * + * @example + * ```ts + * const run = await client.beta.threads.runs.update( + * 'thread_id', + * 'run_id', + * ); + * ``` + */ + update( + threadId: string, + runId: string, + body: RunUpdateParams, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this._client.post(`/threads/${threadId}/runs/${runId}`, { + body, + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Returns a list of runs belonging to a thread. + * + * @example + * ```ts + * // Automatically fetches more pages as needed. + * for await (const run of client.beta.threads.runs.list( + * 'thread_id', + * )) { + * // ... + * } + * ``` + */ + list( + threadId: string, + query?: RunListParams, + options?: Core.RequestOptions, + ): Core.PagePromise; + list(threadId: string, options?: Core.RequestOptions): Core.PagePromise; + list( + threadId: string, + query: RunListParams | Core.RequestOptions = {}, + options?: Core.RequestOptions, + ): Core.PagePromise { + if (isRequestOptions(query)) { + return this.list(threadId, {}, query); + } + return this._client.getAPIList(`/threads/${threadId}/runs`, RunsPage, { + query, + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Cancels a run that is `in_progress`. + * + * @example + * ```ts + * const run = await client.beta.threads.runs.cancel( + * 'thread_id', + * 'run_id', + * ); + * ``` + */ + cancel(threadId: string, runId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.post(`/threads/${threadId}/runs/${runId}/cancel`, { + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * A helper to create a run an poll for a terminal state. More information on Run + * lifecycles can be found here: + * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps + */ + async createAndPoll( + threadId: string, + body: RunCreateParamsNonStreaming, + options?: Core.RequestOptions & { pollIntervalMs?: number }, + ): Promise { + const run = await this.create(threadId, body, options); + return await this.poll(threadId, run.id, options); + } + + /** + * Create a Run stream + * + * @deprecated use `stream` instead + */ + createAndStream( + threadId: string, + body: RunCreateParamsBaseStream, + options?: Core.RequestOptions, + ): AssistantStream { + return AssistantStream.createAssistantStream(threadId, this._client.beta.threads.runs, body, options); + } + + /** + * A helper to poll a run status until it reaches a terminal state. More + * information on Run lifecycles can be found here: + * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps + */ + async poll( + threadId: string, + runId: string, + options?: Core.RequestOptions & { pollIntervalMs?: number }, + ): Promise { + const headers: { [key: string]: string } = { ...options?.headers, 'X-Stainless-Poll-Helper': 'true' }; + + if (options?.pollIntervalMs) { + headers['X-Stainless-Custom-Poll-Interval'] = options.pollIntervalMs.toString(); + } + + while (true) { + const { data: run, response } = await this.retrieve(threadId, runId, { + ...options, + headers: { ...options?.headers, ...headers }, + }).withResponse(); + + switch (run.status) { + //If we are in any sort of intermediate state we poll + case 'queued': + case 'in_progress': + case 'cancelling': + let sleepInterval = 5000; + + if (options?.pollIntervalMs) { + sleepInterval = options.pollIntervalMs; + } else { + const headerInterval = response.headers.get('openai-poll-after-ms'); + if (headerInterval) { + const headerIntervalMs = parseInt(headerInterval); + if (!isNaN(headerIntervalMs)) { + sleepInterval = headerIntervalMs; + } + } + } + await sleep(sleepInterval); + break; + //We return the run in any terminal state. + case 'requires_action': + case 'incomplete': + case 'cancelled': + case 'completed': + case 'failed': + case 'expired': + return run; + } + } + } + + /** + * Create a Run stream + */ + stream(threadId: string, body: RunCreateParamsBaseStream, options?: Core.RequestOptions): AssistantStream { + return AssistantStream.createAssistantStream(threadId, this._client.beta.threads.runs, body, options); + } + + /** + * When a run has the `status: "requires_action"` and `required_action.type` is + * `submit_tool_outputs`, this endpoint can be used to submit the outputs from the + * tool calls once they're all completed. All outputs must be submitted in a single + * request. + * + * @example + * ```ts + * const run = + * await client.beta.threads.runs.submitToolOutputs( + * 'thread_id', + * 'run_id', + * { tool_outputs: [{}] }, + * ); + * ``` + */ + submitToolOutputs( + threadId: string, + runId: string, + body: RunSubmitToolOutputsParamsNonStreaming, + options?: Core.RequestOptions, + ): APIPromise; + submitToolOutputs( + threadId: string, + runId: string, + body: RunSubmitToolOutputsParamsStreaming, + options?: Core.RequestOptions, + ): APIPromise>; + submitToolOutputs( + threadId: string, + runId: string, + body: RunSubmitToolOutputsParamsBase, + options?: Core.RequestOptions, + ): APIPromise | Run>; + submitToolOutputs( + threadId: string, + runId: string, + body: RunSubmitToolOutputsParams, + options?: Core.RequestOptions, + ): APIPromise | APIPromise> { + return this._client.post(`/threads/${threadId}/runs/${runId}/submit_tool_outputs`, { + body, + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + stream: body.stream ?? false, + }) as APIPromise | APIPromise>; + } + + /** + * A helper to submit a tool output to a run and poll for a terminal run state. + * More information on Run lifecycles can be found here: + * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps + */ + async submitToolOutputsAndPoll( + threadId: string, + runId: string, + body: RunSubmitToolOutputsParamsNonStreaming, + options?: Core.RequestOptions & { pollIntervalMs?: number }, + ): Promise { + const run = await this.submitToolOutputs(threadId, runId, body, options); + return await this.poll(threadId, run.id, options); + } + + /** + * Submit the tool outputs from a previous run and stream the run to a terminal + * state. More information on Run lifecycles can be found here: + * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps + */ + submitToolOutputsStream( + threadId: string, + runId: string, + body: RunSubmitToolOutputsParamsStream, + options?: Core.RequestOptions, + ): AssistantStream { + return AssistantStream.createToolAssistantStream( + threadId, + runId, + this._client.beta.threads.runs, + body, + options, + ); + } +} + +export class RunsPage extends CursorPage {} + +/** + * Tool call objects + */ +export interface RequiredActionFunctionToolCall { + /** + * The ID of the tool call. This ID must be referenced when you submit the tool + * outputs in using the + * [Submit tool outputs to run](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs) + * endpoint. + */ + id: string; + + /** + * The function definition. + */ + function: RequiredActionFunctionToolCall.Function; + + /** + * The type of tool call the output is required for. For now, this is always + * `function`. + */ + type: 'function'; +} + +export namespace RequiredActionFunctionToolCall { + /** + * The function definition. + */ + export interface Function { + /** + * The arguments that the model expects you to pass to the function. + */ + arguments: string; + + /** + * The name of the function. + */ + name: string; + } +} + +/** + * Represents an execution run on a + * [thread](https://platform.openai.com/docs/api-reference/threads). + */ +export interface Run { + /** + * The identifier, which can be referenced in API endpoints. + */ + id: string; + + /** + * The ID of the + * [assistant](https://platform.openai.com/docs/api-reference/assistants) used for + * execution of this run. + */ + assistant_id: string; + + /** + * The Unix timestamp (in seconds) for when the run was cancelled. + */ + cancelled_at: number | null; + + /** + * The Unix timestamp (in seconds) for when the run was completed. + */ + completed_at: number | null; + + /** + * The Unix timestamp (in seconds) for when the run was created. + */ + created_at: number; + + /** + * The Unix timestamp (in seconds) for when the run will expire. + */ + expires_at: number | null; + + /** + * The Unix timestamp (in seconds) for when the run failed. + */ + failed_at: number | null; + + /** + * Details on why the run is incomplete. Will be `null` if the run is not + * incomplete. + */ + incomplete_details: Run.IncompleteDetails | null; + + /** + * The instructions that the + * [assistant](https://platform.openai.com/docs/api-reference/assistants) used for + * this run. + */ + instructions: string; + + /** + * The last error associated with this run. Will be `null` if there are no errors. + */ + last_error: Run.LastError | null; + + /** + * The maximum number of completion tokens specified to have been used over the + * course of the run. + */ + max_completion_tokens: number | null; + + /** + * The maximum number of prompt tokens specified to have been used over the course + * of the run. + */ + max_prompt_tokens: number | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata: Shared.Metadata | null; + + /** + * The model that the + * [assistant](https://platform.openai.com/docs/api-reference/assistants) used for + * this run. + */ + model: string; + + /** + * The object type, which is always `thread.run`. + */ + object: 'thread.run'; + + /** + * Whether to enable + * [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) + * during tool use. + */ + parallel_tool_calls: boolean; + + /** + * Details on the action required to continue the run. Will be `null` if no action + * is required. + */ + required_action: Run.RequiredAction | null; + + /** + * Specifies the format that the model must output. Compatible with + * [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), + * [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4), + * and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`. + * + * Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured + * Outputs which ensures the model will match your supplied JSON schema. Learn more + * in the + * [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). + * + * Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the + * message the model generates is valid JSON. + * + * **Important:** when using JSON mode, you **must** also instruct the model to + * produce JSON yourself via a system or user message. Without this, the model may + * generate an unending stream of whitespace until the generation reaches the token + * limit, resulting in a long-running and seemingly "stuck" request. Also note that + * the message content may be partially cut off if `finish_reason="length"`, which + * indicates the generation exceeded `max_tokens` or the conversation exceeded the + * max context length. + */ + response_format: ThreadsAPI.AssistantResponseFormatOption | null; + + /** + * The Unix timestamp (in seconds) for when the run was started. + */ + started_at: number | null; + + /** + * The status of the run, which can be either `queued`, `in_progress`, + * `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, + * `incomplete`, or `expired`. + */ + status: RunStatus; + + /** + * The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) + * that was executed on as a part of this run. + */ + thread_id: string; + + /** + * Controls which (if any) tool is called by the model. `none` means the model will + * not call any tools and instead generates a message. `auto` is the default value + * and means the model can pick between generating a message or calling one or more + * tools. `required` means the model must call one or more tools before responding + * to the user. Specifying a particular tool like `{"type": "file_search"}` or + * `{"type": "function", "function": {"name": "my_function"}}` forces the model to + * call that tool. + */ + tool_choice: ThreadsAPI.AssistantToolChoiceOption | null; + + /** + * The list of tools that the + * [assistant](https://platform.openai.com/docs/api-reference/assistants) used for + * this run. + */ + tools: Array; + + /** + * Controls for how a thread will be truncated prior to the run. Use this to + * control the intial context window of the run. + */ + truncation_strategy: Run.TruncationStrategy | null; + + /** + * Usage statistics related to the run. This value will be `null` if the run is not + * in a terminal state (i.e. `in_progress`, `queued`, etc.). + */ + usage: Run.Usage | null; + + /** + * The sampling temperature used for this run. If not set, defaults to 1. + */ + temperature?: number | null; + + /** + * The nucleus sampling value used for this run. If not set, defaults to 1. + */ + top_p?: number | null; +} + +export namespace Run { + /** + * Details on why the run is incomplete. Will be `null` if the run is not + * incomplete. + */ + export interface IncompleteDetails { + /** + * The reason why the run is incomplete. This will point to which specific token + * limit was reached over the course of the run. + */ + reason?: 'max_completion_tokens' | 'max_prompt_tokens'; + } + + /** + * The last error associated with this run. Will be `null` if there are no errors. + */ + export interface LastError { + /** + * One of `server_error`, `rate_limit_exceeded`, or `invalid_prompt`. + */ + code: 'server_error' | 'rate_limit_exceeded' | 'invalid_prompt'; + + /** + * A human-readable description of the error. + */ + message: string; + } + + /** + * Details on the action required to continue the run. Will be `null` if no action + * is required. + */ + export interface RequiredAction { + /** + * Details on the tool outputs needed for this run to continue. + */ + submit_tool_outputs: RequiredAction.SubmitToolOutputs; + + /** + * For now, this is always `submit_tool_outputs`. + */ + type: 'submit_tool_outputs'; + } + + export namespace RequiredAction { + /** + * Details on the tool outputs needed for this run to continue. + */ + export interface SubmitToolOutputs { + /** + * A list of the relevant tool calls. + */ + tool_calls: Array; + } + } + + /** + * Controls for how a thread will be truncated prior to the run. Use this to + * control the intial context window of the run. + */ + export interface TruncationStrategy { + /** + * The truncation strategy to use for the thread. The default is `auto`. If set to + * `last_messages`, the thread will be truncated to the n most recent messages in + * the thread. When set to `auto`, messages in the middle of the thread will be + * dropped to fit the context length of the model, `max_prompt_tokens`. + */ + type: 'auto' | 'last_messages'; + + /** + * The number of most recent messages from the thread when constructing the context + * for the run. + */ + last_messages?: number | null; + } + + /** + * Usage statistics related to the run. This value will be `null` if the run is not + * in a terminal state (i.e. `in_progress`, `queued`, etc.). + */ + export interface Usage { + /** + * Number of completion tokens used over the course of the run. + */ + completion_tokens: number; + + /** + * Number of prompt tokens used over the course of the run. + */ + prompt_tokens: number; + + /** + * Total number of tokens used (prompt + completion). + */ + total_tokens: number; + } +} + +/** + * The status of the run, which can be either `queued`, `in_progress`, + * `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, + * `incomplete`, or `expired`. + */ +export type RunStatus = + | 'queued' + | 'in_progress' + | 'requires_action' + | 'cancelling' + | 'cancelled' + | 'failed' + | 'completed' + | 'incomplete' + | 'expired'; + +export type RunCreateParams = RunCreateParamsNonStreaming | RunCreateParamsStreaming; + +export interface RunCreateParamsBase { + /** + * Body param: The ID of the + * [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to + * execute this run. + */ + assistant_id: string; + + /** + * Query param: A list of additional fields to include in the response. Currently + * the only supported value is + * `step_details.tool_calls[*].file_search.results[*].content` to fetch the file + * search result content. + * + * See the + * [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings) + * for more information. + */ + include?: Array; + + /** + * Body param: Appends additional instructions at the end of the instructions for + * the run. This is useful for modifying the behavior on a per-run basis without + * overriding other instructions. + */ + additional_instructions?: string | null; + + /** + * Body param: Adds additional messages to the thread before creating the run. + */ + additional_messages?: Array | null; + + /** + * Body param: Overrides the + * [instructions](https://platform.openai.com/docs/api-reference/assistants/createAssistant) + * of the assistant. This is useful for modifying the behavior on a per-run basis. + */ + instructions?: string | null; + + /** + * Body param: The maximum number of completion tokens that may be used over the + * course of the run. The run will make a best effort to use only the number of + * completion tokens specified, across multiple turns of the run. If the run + * exceeds the number of completion tokens specified, the run will end with status + * `incomplete`. See `incomplete_details` for more info. + */ + max_completion_tokens?: number | null; + + /** + * Body param: The maximum number of prompt tokens that may be used over the course + * of the run. The run will make a best effort to use only the number of prompt + * tokens specified, across multiple turns of the run. If the run exceeds the + * number of prompt tokens specified, the run will end with status `incomplete`. + * See `incomplete_details` for more info. + */ + max_prompt_tokens?: number | null; + + /** + * Body param: Set of 16 key-value pairs that can be attached to an object. This + * can be useful for storing additional information about the object in a + * structured format, and querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + + /** + * Body param: The ID of the + * [Model](https://platform.openai.com/docs/api-reference/models) to be used to + * execute this run. If a value is provided here, it will override the model + * associated with the assistant. If not, the model associated with the assistant + * will be used. + */ + model?: (string & {}) | Shared.ChatModel | null; + + /** + * Body param: Whether to enable + * [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) + * during tool use. + */ + parallel_tool_calls?: boolean; + + /** + * Body param: **o-series models only** + * + * Constrains effort on reasoning for + * [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently + * supported values are `low`, `medium`, and `high`. Reducing reasoning effort can + * result in faster responses and fewer tokens used on reasoning in a response. + */ + reasoning_effort?: Shared.ReasoningEffort | null; + + /** + * Body param: Specifies the format that the model must output. Compatible with + * [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), + * [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4), + * and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`. + * + * Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured + * Outputs which ensures the model will match your supplied JSON schema. Learn more + * in the + * [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). + * + * Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the + * message the model generates is valid JSON. + * + * **Important:** when using JSON mode, you **must** also instruct the model to + * produce JSON yourself via a system or user message. Without this, the model may + * generate an unending stream of whitespace until the generation reaches the token + * limit, resulting in a long-running and seemingly "stuck" request. Also note that + * the message content may be partially cut off if `finish_reason="length"`, which + * indicates the generation exceeded `max_tokens` or the conversation exceeded the + * max context length. + */ + response_format?: ThreadsAPI.AssistantResponseFormatOption | null; + + /** + * Body param: If `true`, returns a stream of events that happen during the Run as + * server-sent events, terminating when the Run enters a terminal state with a + * `data: [DONE]` message. + */ + stream?: boolean | null; + + /** + * Body param: What sampling temperature to use, between 0 and 2. Higher values + * like 0.8 will make the output more random, while lower values like 0.2 will make + * it more focused and deterministic. + */ + temperature?: number | null; + + /** + * Body param: Controls which (if any) tool is called by the model. `none` means + * the model will not call any tools and instead generates a message. `auto` is the + * default value and means the model can pick between generating a message or + * calling one or more tools. `required` means the model must call one or more + * tools before responding to the user. Specifying a particular tool like + * `{"type": "file_search"}` or + * `{"type": "function", "function": {"name": "my_function"}}` forces the model to + * call that tool. + */ + tool_choice?: ThreadsAPI.AssistantToolChoiceOption | null; + + /** + * Body param: Override the tools the assistant can use for this run. This is + * useful for modifying the behavior on a per-run basis. + */ + tools?: Array | null; + + /** + * Body param: An alternative to sampling with temperature, called nucleus + * sampling, where the model considers the results of the tokens with top_p + * probability mass. So 0.1 means only the tokens comprising the top 10% + * probability mass are considered. + * + * We generally recommend altering this or temperature but not both. + */ + top_p?: number | null; + + /** + * Body param: Controls for how a thread will be truncated prior to the run. Use + * this to control the intial context window of the run. + */ + truncation_strategy?: RunCreateParams.TruncationStrategy | null; +} + +export namespace RunCreateParams { + export interface AdditionalMessage { + /** + * The text contents of the message. + */ + content: string | Array; + + /** + * The role of the entity that is creating the message. Allowed values include: + * + * - `user`: Indicates the message is sent by an actual user and should be used in + * most cases to represent user-generated messages. + * - `assistant`: Indicates the message is generated by the assistant. Use this + * value to insert messages from the assistant into the conversation. + */ + role: 'user' | 'assistant'; + + /** + * A list of files attached to the message, and the tools they should be added to. + */ + attachments?: Array | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + } + + export namespace AdditionalMessage { + export interface Attachment { + /** + * The ID of the file to attach to the message. + */ + file_id?: string; + + /** + * The tools to add this file to. + */ + tools?: Array; + } + + export namespace Attachment { + export interface FileSearch { + /** + * The type of tool being defined: `file_search` + */ + type: 'file_search'; + } + } + } + + /** + * Controls for how a thread will be truncated prior to the run. Use this to + * control the intial context window of the run. + */ + export interface TruncationStrategy { + /** + * The truncation strategy to use for the thread. The default is `auto`. If set to + * `last_messages`, the thread will be truncated to the n most recent messages in + * the thread. When set to `auto`, messages in the middle of the thread will be + * dropped to fit the context length of the model, `max_prompt_tokens`. + */ + type: 'auto' | 'last_messages'; + + /** + * The number of most recent messages from the thread when constructing the context + * for the run. + */ + last_messages?: number | null; + } + + export type RunCreateParamsNonStreaming = RunsAPI.RunCreateParamsNonStreaming; + export type RunCreateParamsStreaming = RunsAPI.RunCreateParamsStreaming; +} + +export interface RunCreateParamsNonStreaming extends RunCreateParamsBase { + /** + * Body param: If `true`, returns a stream of events that happen during the Run as + * server-sent events, terminating when the Run enters a terminal state with a + * `data: [DONE]` message. + */ + stream?: false | null; +} + +export interface RunCreateParamsStreaming extends RunCreateParamsBase { + /** + * Body param: If `true`, returns a stream of events that happen during the Run as + * server-sent events, terminating when the Run enters a terminal state with a + * `data: [DONE]` message. + */ + stream: true; +} + +export interface RunUpdateParams { + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; +} + +export interface RunListParams extends CursorPageParams { + /** + * A cursor for use in pagination. `before` is an object ID that defines your place + * in the list. For instance, if you make a list request and receive 100 objects, + * starting with obj_foo, your subsequent call can include before=obj_foo in order + * to fetch the previous page of the list. + */ + before?: string; + + /** + * Sort order by the `created_at` timestamp of the objects. `asc` for ascending + * order and `desc` for descending order. + */ + order?: 'asc' | 'desc'; +} + +export interface RunCreateAndPollParams { + /** + * The ID of the + * [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to + * execute this run. + */ + assistant_id: string; + + /** + * Appends additional instructions at the end of the instructions for the run. This + * is useful for modifying the behavior on a per-run basis without overriding other + * instructions. + */ + additional_instructions?: string | null; + + /** + * Adds additional messages to the thread before creating the run. + */ + additional_messages?: Array | null; + + /** + * Overrides the + * [instructions](https://platform.openai.com/docs/api-reference/assistants/createAssistant) + * of the assistant. This is useful for modifying the behavior on a per-run basis. + */ + instructions?: string | null; + + /** + * The maximum number of completion tokens that may be used over the course of the + * run. The run will make a best effort to use only the number of completion tokens + * specified, across multiple turns of the run. If the run exceeds the number of + * completion tokens specified, the run will end with status `incomplete`. See + * `incomplete_details` for more info. + */ + max_completion_tokens?: number | null; + + /** + * The maximum number of prompt tokens that may be used over the course of the run. + * The run will make a best effort to use only the number of prompt tokens + * specified, across multiple turns of the run. If the run exceeds the number of + * prompt tokens specified, the run will end with status `incomplete`. See + * `incomplete_details` for more info. + */ + max_prompt_tokens?: number | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format. Keys + * can be a maximum of 64 characters long and values can be a maxium of 512 + * characters long. + */ + metadata?: unknown | null; + + /** + * The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to + * be used to execute this run. If a value is provided here, it will override the + * model associated with the assistant. If not, the model associated with the + * assistant will be used. + */ + model?: + | (string & {}) + | 'gpt-4o' + | 'gpt-4o-2024-05-13' + | 'gpt-4-turbo' + | 'gpt-4-turbo-2024-04-09' + | 'gpt-4-0125-preview' + | 'gpt-4-turbo-preview' + | 'gpt-4-1106-preview' + | 'gpt-4-vision-preview' + | 'gpt-4' + | 'gpt-4-0314' + | 'gpt-4-0613' + | 'gpt-4-32k' + | 'gpt-4-32k-0314' + | 'gpt-4-32k-0613' + | 'gpt-3.5-turbo' + | 'gpt-3.5-turbo-16k' + | 'gpt-3.5-turbo-0613' + | 'gpt-3.5-turbo-1106' + | 'gpt-3.5-turbo-0125' + | 'gpt-3.5-turbo-16k-0613' + | null; + + /** + * Specifies the format that the model must output. Compatible with + * [GPT-4o](https://platform.openai.com/docs/models/gpt-4o), + * [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4), + * and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`. + * + * Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the + * message the model generates is valid JSON. + * + * **Important:** when using JSON mode, you **must** also instruct the model to + * produce JSON yourself via a system or user message. Without this, the model may + * generate an unending stream of whitespace until the generation reaches the token + * limit, resulting in a long-running and seemingly "stuck" request. Also note that + * the message content may be partially cut off if `finish_reason="length"`, which + * indicates the generation exceeded `max_tokens` or the conversation exceeded the + * max context length. + */ + response_format?: ThreadsAPI.AssistantResponseFormatOption | null; + + /** + * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will + * make the output more random, while lower values like 0.2 will make it more + * focused and deterministic. + */ + temperature?: number | null; + + /** + * Controls which (if any) tool is called by the model. `none` means the model will + * not call any tools and instead generates a message. `auto` is the default value + * and means the model can pick between generating a message or calling one or more + * tools. `required` means the model must call one or more tools before responding + * to the user. Specifying a particular tool like `{"type": "file_search"}` or + * `{"type": "function", "function": {"name": "my_function"}}` forces the model to + * call that tool. + */ + tool_choice?: ThreadsAPI.AssistantToolChoiceOption | null; + + /** + * Override the tools the assistant can use for this run. This is useful for + * modifying the behavior on a per-run basis. + */ + tools?: Array | null; + + /** + * An alternative to sampling with temperature, called nucleus sampling, where the + * model considers the results of the tokens with top_p probability mass. So 0.1 + * means only the tokens comprising the top 10% probability mass are considered. + * + * We generally recommend altering this or temperature but not both. + */ + top_p?: number | null; + + /** + * Controls for how a thread will be truncated prior to the run. Use this to + * control the intial context window of the run. + */ + truncation_strategy?: RunCreateAndPollParams.TruncationStrategy | null; +} + +export namespace RunCreateAndPollParams { + export interface AdditionalMessage { + /** + * The text contents of the message. + */ + content: string | Array; + + /** + * The role of the entity that is creating the message. Allowed values include: + * + * - `user`: Indicates the message is sent by an actual user and should be used in + * most cases to represent user-generated messages. + * - `assistant`: Indicates the message is generated by the assistant. Use this + * value to insert messages from the assistant into the conversation. + */ + role: 'user' | 'assistant'; + + /** + * A list of files attached to the message, and the tools they should be added to. + */ + attachments?: Array | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format. Keys + * can be a maximum of 64 characters long and values can be a maxium of 512 + * characters long. + */ + metadata?: unknown | null; + } + + export namespace AdditionalMessage { + export interface Attachment { + /** + * The ID of the file to attach to the message. + */ + file_id?: string; + + /** + * The tools to add this file to. + */ + tools?: Array; + } + } + + /** + * Controls for how a thread will be truncated prior to the run. Use this to + * control the intial context window of the run. + */ + export interface TruncationStrategy { + /** + * The truncation strategy to use for the thread. The default is `auto`. If set to + * `last_messages`, the thread will be truncated to the n most recent messages in + * the thread. When set to `auto`, messages in the middle of the thread will be + * dropped to fit the context length of the model, `max_prompt_tokens`. + */ + type: 'auto' | 'last_messages'; + + /** + * The number of most recent messages from the thread when constructing the context + * for the run. + */ + last_messages?: number | null; + } +} + +export interface RunCreateAndStreamParams { + /** + * The ID of the + * [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to + * execute this run. + */ + assistant_id: string; + + /** + * Appends additional instructions at the end of the instructions for the run. This + * is useful for modifying the behavior on a per-run basis without overriding other + * instructions. + */ + additional_instructions?: string | null; + + /** + * Adds additional messages to the thread before creating the run. + */ + additional_messages?: Array | null; + + /** + * Overrides the + * [instructions](https://platform.openai.com/docs/api-reference/assistants/createAssistant) + * of the assistant. This is useful for modifying the behavior on a per-run basis. + */ + instructions?: string | null; + + /** + * The maximum number of completion tokens that may be used over the course of the + * run. The run will make a best effort to use only the number of completion tokens + * specified, across multiple turns of the run. If the run exceeds the number of + * completion tokens specified, the run will end with status `incomplete`. See + * `incomplete_details` for more info. + */ + max_completion_tokens?: number | null; + + /** + * The maximum number of prompt tokens that may be used over the course of the run. + * The run will make a best effort to use only the number of prompt tokens + * specified, across multiple turns of the run. If the run exceeds the number of + * prompt tokens specified, the run will end with status `incomplete`. See + * `incomplete_details` for more info. + */ + max_prompt_tokens?: number | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format. Keys + * can be a maximum of 64 characters long and values can be a maxium of 512 + * characters long. + */ + metadata?: unknown | null; + + /** + * The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to + * be used to execute this run. If a value is provided here, it will override the + * model associated with the assistant. If not, the model associated with the + * assistant will be used. + */ + model?: + | (string & {}) + | 'gpt-4o' + | 'gpt-4o-2024-05-13' + | 'gpt-4-turbo' + | 'gpt-4-turbo-2024-04-09' + | 'gpt-4-0125-preview' + | 'gpt-4-turbo-preview' + | 'gpt-4-1106-preview' + | 'gpt-4-vision-preview' + | 'gpt-4' + | 'gpt-4-0314' + | 'gpt-4-0613' + | 'gpt-4-32k' + | 'gpt-4-32k-0314' + | 'gpt-4-32k-0613' + | 'gpt-3.5-turbo' + | 'gpt-3.5-turbo-16k' + | 'gpt-3.5-turbo-0613' + | 'gpt-3.5-turbo-1106' + | 'gpt-3.5-turbo-0125' + | 'gpt-3.5-turbo-16k-0613' + | null; + + /** + * Specifies the format that the model must output. Compatible with + * [GPT-4o](https://platform.openai.com/docs/models/gpt-4o), + * [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4), + * and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`. + * + * Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the + * message the model generates is valid JSON. + * + * **Important:** when using JSON mode, you **must** also instruct the model to + * produce JSON yourself via a system or user message. Without this, the model may + * generate an unending stream of whitespace until the generation reaches the token + * limit, resulting in a long-running and seemingly "stuck" request. Also note that + * the message content may be partially cut off if `finish_reason="length"`, which + * indicates the generation exceeded `max_tokens` or the conversation exceeded the + * max context length. + */ + response_format?: ThreadsAPI.AssistantResponseFormatOption | null; + + /** + * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will + * make the output more random, while lower values like 0.2 will make it more + * focused and deterministic. + */ + temperature?: number | null; + + /** + * Controls which (if any) tool is called by the model. `none` means the model will + * not call any tools and instead generates a message. `auto` is the default value + * and means the model can pick between generating a message or calling one or more + * tools. `required` means the model must call one or more tools before responding + * to the user. Specifying a particular tool like `{"type": "file_search"}` or + * `{"type": "function", "function": {"name": "my_function"}}` forces the model to + * call that tool. + */ + tool_choice?: ThreadsAPI.AssistantToolChoiceOption | null; + + /** + * Override the tools the assistant can use for this run. This is useful for + * modifying the behavior on a per-run basis. + */ + tools?: Array | null; + + /** + * An alternative to sampling with temperature, called nucleus sampling, where the + * model considers the results of the tokens with top_p probability mass. So 0.1 + * means only the tokens comprising the top 10% probability mass are considered. + * + * We generally recommend altering this or temperature but not both. + */ + top_p?: number | null; + + /** + * Controls for how a thread will be truncated prior to the run. Use this to + * control the intial context window of the run. + */ + truncation_strategy?: RunCreateAndStreamParams.TruncationStrategy | null; +} + +export namespace RunCreateAndStreamParams { + export interface AdditionalMessage { + /** + * The text contents of the message. + */ + content: string | Array; + + /** + * The role of the entity that is creating the message. Allowed values include: + * + * - `user`: Indicates the message is sent by an actual user and should be used in + * most cases to represent user-generated messages. + * - `assistant`: Indicates the message is generated by the assistant. Use this + * value to insert messages from the assistant into the conversation. + */ + role: 'user' | 'assistant'; + + /** + * A list of files attached to the message, and the tools they should be added to. + */ + attachments?: Array | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format. Keys + * can be a maximum of 64 characters long and values can be a maxium of 512 + * characters long. + */ + metadata?: unknown | null; + } + + export namespace AdditionalMessage { + export interface Attachment { + /** + * The ID of the file to attach to the message. + */ + file_id?: string; + + /** + * The tools to add this file to. + */ + tools?: Array; + } + } + + /** + * Controls for how a thread will be truncated prior to the run. Use this to + * control the intial context window of the run. + */ + export interface TruncationStrategy { + /** + * The truncation strategy to use for the thread. The default is `auto`. If set to + * `last_messages`, the thread will be truncated to the n most recent messages in + * the thread. When set to `auto`, messages in the middle of the thread will be + * dropped to fit the context length of the model, `max_prompt_tokens`. + */ + type: 'auto' | 'last_messages'; + + /** + * The number of most recent messages from the thread when constructing the context + * for the run. + */ + last_messages?: number | null; + } +} + +export interface RunStreamParams { + /** + * The ID of the + * [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to + * execute this run. + */ + assistant_id: string; + + /** + * Appends additional instructions at the end of the instructions for the run. This + * is useful for modifying the behavior on a per-run basis without overriding other + * instructions. + */ + additional_instructions?: string | null; + + /** + * Adds additional messages to the thread before creating the run. + */ + additional_messages?: Array | null; + + /** + * Overrides the + * [instructions](https://platform.openai.com/docs/api-reference/assistants/createAssistant) + * of the assistant. This is useful for modifying the behavior on a per-run basis. + */ + instructions?: string | null; + + /** + * The maximum number of completion tokens that may be used over the course of the + * run. The run will make a best effort to use only the number of completion tokens + * specified, across multiple turns of the run. If the run exceeds the number of + * completion tokens specified, the run will end with status `incomplete`. See + * `incomplete_details` for more info. + */ + max_completion_tokens?: number | null; + + /** + * The maximum number of prompt tokens that may be used over the course of the run. + * The run will make a best effort to use only the number of prompt tokens + * specified, across multiple turns of the run. If the run exceeds the number of + * prompt tokens specified, the run will end with status `incomplete`. See + * `incomplete_details` for more info. + */ + max_prompt_tokens?: number | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format. Keys + * can be a maximum of 64 characters long and values can be a maxium of 512 + * characters long. + */ + metadata?: unknown | null; + + /** + * The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to + * be used to execute this run. If a value is provided here, it will override the + * model associated with the assistant. If not, the model associated with the + * assistant will be used. + */ + model?: + | (string & {}) + | 'gpt-4o' + | 'gpt-4o-2024-05-13' + | 'gpt-4-turbo' + | 'gpt-4-turbo-2024-04-09' + | 'gpt-4-0125-preview' + | 'gpt-4-turbo-preview' + | 'gpt-4-1106-preview' + | 'gpt-4-vision-preview' + | 'gpt-4' + | 'gpt-4-0314' + | 'gpt-4-0613' + | 'gpt-4-32k' + | 'gpt-4-32k-0314' + | 'gpt-4-32k-0613' + | 'gpt-3.5-turbo' + | 'gpt-3.5-turbo-16k' + | 'gpt-3.5-turbo-0613' + | 'gpt-3.5-turbo-1106' + | 'gpt-3.5-turbo-0125' + | 'gpt-3.5-turbo-16k-0613' + | null; + + /** + * Specifies the format that the model must output. Compatible with + * [GPT-4o](https://platform.openai.com/docs/models/gpt-4o), + * [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4), + * and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`. + * + * Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the + * message the model generates is valid JSON. + * + * **Important:** when using JSON mode, you **must** also instruct the model to + * produce JSON yourself via a system or user message. Without this, the model may + * generate an unending stream of whitespace until the generation reaches the token + * limit, resulting in a long-running and seemingly "stuck" request. Also note that + * the message content may be partially cut off if `finish_reason="length"`, which + * indicates the generation exceeded `max_tokens` or the conversation exceeded the + * max context length. + */ + response_format?: ThreadsAPI.AssistantResponseFormatOption | null; + + /** + * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will + * make the output more random, while lower values like 0.2 will make it more + * focused and deterministic. + */ + temperature?: number | null; + + /** + * Controls which (if any) tool is called by the model. `none` means the model will + * not call any tools and instead generates a message. `auto` is the default value + * and means the model can pick between generating a message or calling one or more + * tools. `required` means the model must call one or more tools before responding + * to the user. Specifying a particular tool like `{"type": "file_search"}` or + * `{"type": "function", "function": {"name": "my_function"}}` forces the model to + * call that tool. + */ + tool_choice?: ThreadsAPI.AssistantToolChoiceOption | null; + + /** + * Override the tools the assistant can use for this run. This is useful for + * modifying the behavior on a per-run basis. + */ + tools?: Array | null; + + /** + * An alternative to sampling with temperature, called nucleus sampling, where the + * model considers the results of the tokens with top_p probability mass. So 0.1 + * means only the tokens comprising the top 10% probability mass are considered. + * + * We generally recommend altering this or temperature but not both. + */ + top_p?: number | null; + + /** + * Controls for how a thread will be truncated prior to the run. Use this to + * control the intial context window of the run. + */ + truncation_strategy?: RunStreamParams.TruncationStrategy | null; +} + +export namespace RunStreamParams { + export interface AdditionalMessage { + /** + * The text contents of the message. + */ + content: string | Array; + + /** + * The role of the entity that is creating the message. Allowed values include: + * + * - `user`: Indicates the message is sent by an actual user and should be used in + * most cases to represent user-generated messages. + * - `assistant`: Indicates the message is generated by the assistant. Use this + * value to insert messages from the assistant into the conversation. + */ + role: 'user' | 'assistant'; + + /** + * A list of files attached to the message, and the tools they should be added to. + */ + attachments?: Array | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format. Keys + * can be a maximum of 64 characters long and values can be a maxium of 512 + * characters long. + */ + metadata?: unknown | null; + } + + export namespace AdditionalMessage { + export interface Attachment { + /** + * The ID of the file to attach to the message. + */ + file_id?: string; + + /** + * The tools to add this file to. + */ + tools?: Array; + } + } + + /** + * Controls for how a thread will be truncated prior to the run. Use this to + * control the intial context window of the run. + */ + export interface TruncationStrategy { + /** + * The truncation strategy to use for the thread. The default is `auto`. If set to + * `last_messages`, the thread will be truncated to the n most recent messages in + * the thread. When set to `auto`, messages in the middle of the thread will be + * dropped to fit the context length of the model, `max_prompt_tokens`. + */ + type: 'auto' | 'last_messages'; + + /** + * The number of most recent messages from the thread when constructing the context + * for the run. + */ + last_messages?: number | null; + } +} + +export type RunSubmitToolOutputsParams = + | RunSubmitToolOutputsParamsNonStreaming + | RunSubmitToolOutputsParamsStreaming; + +export interface RunSubmitToolOutputsParamsBase { + /** + * A list of tools for which the outputs are being submitted. + */ + tool_outputs: Array; + + /** + * If `true`, returns a stream of events that happen during the Run as server-sent + * events, terminating when the Run enters a terminal state with a `data: [DONE]` + * message. + */ + stream?: boolean | null; +} + +export namespace RunSubmitToolOutputsParams { + export interface ToolOutput { + /** + * The output of the tool call to be submitted to continue the run. + */ + output?: string; + + /** + * The ID of the tool call in the `required_action` object within the run object + * the output is being submitted for. + */ + tool_call_id?: string; + } + + export type RunSubmitToolOutputsParamsNonStreaming = RunsAPI.RunSubmitToolOutputsParamsNonStreaming; + export type RunSubmitToolOutputsParamsStreaming = RunsAPI.RunSubmitToolOutputsParamsStreaming; +} + +export interface RunSubmitToolOutputsParamsNonStreaming extends RunSubmitToolOutputsParamsBase { + /** + * If `true`, returns a stream of events that happen during the Run as server-sent + * events, terminating when the Run enters a terminal state with a `data: [DONE]` + * message. + */ + stream?: false | null; +} + +export interface RunSubmitToolOutputsParamsStreaming extends RunSubmitToolOutputsParamsBase { + /** + * If `true`, returns a stream of events that happen during the Run as server-sent + * events, terminating when the Run enters a terminal state with a `data: [DONE]` + * message. + */ + stream: true; +} + +export interface RunSubmitToolOutputsAndPollParams { + /** + * A list of tools for which the outputs are being submitted. + */ + tool_outputs: Array; +} + +export namespace RunSubmitToolOutputsAndPollParams { + export interface ToolOutput { + /** + * The output of the tool call to be submitted to continue the run. + */ + output?: string; + + /** + * The ID of the tool call in the `required_action` object within the run object + * the output is being submitted for. + */ + tool_call_id?: string; + } +} + +export interface RunSubmitToolOutputsStreamParams { + /** + * A list of tools for which the outputs are being submitted. + */ + tool_outputs: Array; +} + +export namespace RunSubmitToolOutputsStreamParams { + export interface ToolOutput { + /** + * The output of the tool call to be submitted to continue the run. + */ + output?: string; + + /** + * The ID of the tool call in the `required_action` object within the run object + * the output is being submitted for. + */ + tool_call_id?: string; + } +} + +Runs.RunsPage = RunsPage; +Runs.Steps = Steps; +Runs.RunStepsPage = RunStepsPage; + +export declare namespace Runs { + export { + type RequiredActionFunctionToolCall as RequiredActionFunctionToolCall, + type Run as Run, + type RunStatus as RunStatus, + RunsPage as RunsPage, + type RunCreateParams as RunCreateParams, + type RunCreateParamsNonStreaming as RunCreateParamsNonStreaming, + type RunCreateParamsStreaming as RunCreateParamsStreaming, + type RunUpdateParams as RunUpdateParams, + type RunListParams as RunListParams, + type RunCreateAndPollParams, + type RunCreateAndStreamParams, + type RunStreamParams, + type RunSubmitToolOutputsParams as RunSubmitToolOutputsParams, + type RunSubmitToolOutputsParamsNonStreaming as RunSubmitToolOutputsParamsNonStreaming, + type RunSubmitToolOutputsParamsStreaming as RunSubmitToolOutputsParamsStreaming, + type RunSubmitToolOutputsAndPollParams, + type RunSubmitToolOutputsStreamParams, + }; + + export { + Steps as Steps, + type CodeInterpreterLogs as CodeInterpreterLogs, + type CodeInterpreterOutputImage as CodeInterpreterOutputImage, + type CodeInterpreterToolCall as CodeInterpreterToolCall, + type CodeInterpreterToolCallDelta as CodeInterpreterToolCallDelta, + type FileSearchToolCall as FileSearchToolCall, + type FileSearchToolCallDelta as FileSearchToolCallDelta, + type FunctionToolCall as FunctionToolCall, + type FunctionToolCallDelta as FunctionToolCallDelta, + type MessageCreationStepDetails as MessageCreationStepDetails, + type RunStep as RunStep, + type RunStepDelta as RunStepDelta, + type RunStepDeltaEvent as RunStepDeltaEvent, + type RunStepDeltaMessageDelta as RunStepDeltaMessageDelta, + type RunStepInclude as RunStepInclude, + type ToolCall as ToolCall, + type ToolCallDelta as ToolCallDelta, + type ToolCallDeltaObject as ToolCallDeltaObject, + type ToolCallsStepDetails as ToolCallsStepDetails, + RunStepsPage as RunStepsPage, + type StepRetrieveParams as StepRetrieveParams, + type StepListParams as StepListParams, + }; +} diff --git a/src/resources/beta/threads/runs/steps.ts b/src/resources/beta/threads/runs/steps.ts new file mode 100644 index 000000000..abd8d40ed --- /dev/null +++ b/src/resources/beta/threads/runs/steps.ts @@ -0,0 +1,791 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../../../resource'; +import { isRequestOptions } from '../../../../core'; +import * as Core from '../../../../core'; +import * as StepsAPI from './steps'; +import * as Shared from '../../../shared'; +import { CursorPage, type CursorPageParams } from '../../../../pagination'; + +export class Steps extends APIResource { + /** + * Retrieves a run step. + * + * @example + * ```ts + * const runStep = + * await client.beta.threads.runs.steps.retrieve( + * 'thread_id', + * 'run_id', + * 'step_id', + * ); + * ``` + */ + retrieve( + threadId: string, + runId: string, + stepId: string, + query?: StepRetrieveParams, + options?: Core.RequestOptions, + ): Core.APIPromise; + retrieve( + threadId: string, + runId: string, + stepId: string, + options?: Core.RequestOptions, + ): Core.APIPromise; + retrieve( + threadId: string, + runId: string, + stepId: string, + query: StepRetrieveParams | Core.RequestOptions = {}, + options?: Core.RequestOptions, + ): Core.APIPromise { + if (isRequestOptions(query)) { + return this.retrieve(threadId, runId, stepId, {}, query); + } + return this._client.get(`/threads/${threadId}/runs/${runId}/steps/${stepId}`, { + query, + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Returns a list of run steps belonging to a run. + * + * @example + * ```ts + * // Automatically fetches more pages as needed. + * for await (const runStep of client.beta.threads.runs.steps.list( + * 'thread_id', + * 'run_id', + * )) { + * // ... + * } + * ``` + */ + list( + threadId: string, + runId: string, + query?: StepListParams, + options?: Core.RequestOptions, + ): Core.PagePromise; + list( + threadId: string, + runId: string, + options?: Core.RequestOptions, + ): Core.PagePromise; + list( + threadId: string, + runId: string, + query: StepListParams | Core.RequestOptions = {}, + options?: Core.RequestOptions, + ): Core.PagePromise { + if (isRequestOptions(query)) { + return this.list(threadId, runId, {}, query); + } + return this._client.getAPIList(`/threads/${threadId}/runs/${runId}/steps`, RunStepsPage, { + query, + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } +} + +export class RunStepsPage extends CursorPage {} + +/** + * Text output from the Code Interpreter tool call as part of a run step. + */ +export interface CodeInterpreterLogs { + /** + * The index of the output in the outputs array. + */ + index: number; + + /** + * Always `logs`. + */ + type: 'logs'; + + /** + * The text output from the Code Interpreter tool call. + */ + logs?: string; +} + +export interface CodeInterpreterOutputImage { + /** + * The index of the output in the outputs array. + */ + index: number; + + /** + * Always `image`. + */ + type: 'image'; + + image?: CodeInterpreterOutputImage.Image; +} + +export namespace CodeInterpreterOutputImage { + export interface Image { + /** + * The [file](https://platform.openai.com/docs/api-reference/files) ID of the + * image. + */ + file_id?: string; + } +} + +/** + * Details of the Code Interpreter tool call the run step was involved in. + */ +export interface CodeInterpreterToolCall { + /** + * The ID of the tool call. + */ + id: string; + + /** + * The Code Interpreter tool call definition. + */ + code_interpreter: CodeInterpreterToolCall.CodeInterpreter; + + /** + * The type of tool call. This is always going to be `code_interpreter` for this + * type of tool call. + */ + type: 'code_interpreter'; +} + +export namespace CodeInterpreterToolCall { + /** + * The Code Interpreter tool call definition. + */ + export interface CodeInterpreter { + /** + * The input to the Code Interpreter tool call. + */ + input: string; + + /** + * The outputs from the Code Interpreter tool call. Code Interpreter can output one + * or more items, including text (`logs`) or images (`image`). Each of these are + * represented by a different object type. + */ + outputs: Array; + } + + export namespace CodeInterpreter { + /** + * Text output from the Code Interpreter tool call as part of a run step. + */ + export interface Logs { + /** + * The text output from the Code Interpreter tool call. + */ + logs: string; + + /** + * Always `logs`. + */ + type: 'logs'; + } + + export interface Image { + image: Image.Image; + + /** + * Always `image`. + */ + type: 'image'; + } + + export namespace Image { + export interface Image { + /** + * The [file](https://platform.openai.com/docs/api-reference/files) ID of the + * image. + */ + file_id: string; + } + } + } +} + +/** + * Details of the Code Interpreter tool call the run step was involved in. + */ +export interface CodeInterpreterToolCallDelta { + /** + * The index of the tool call in the tool calls array. + */ + index: number; + + /** + * The type of tool call. This is always going to be `code_interpreter` for this + * type of tool call. + */ + type: 'code_interpreter'; + + /** + * The ID of the tool call. + */ + id?: string; + + /** + * The Code Interpreter tool call definition. + */ + code_interpreter?: CodeInterpreterToolCallDelta.CodeInterpreter; +} + +export namespace CodeInterpreterToolCallDelta { + /** + * The Code Interpreter tool call definition. + */ + export interface CodeInterpreter { + /** + * The input to the Code Interpreter tool call. + */ + input?: string; + + /** + * The outputs from the Code Interpreter tool call. Code Interpreter can output one + * or more items, including text (`logs`) or images (`image`). Each of these are + * represented by a different object type. + */ + outputs?: Array; + } +} + +export interface FileSearchToolCall { + /** + * The ID of the tool call object. + */ + id: string; + + /** + * For now, this is always going to be an empty object. + */ + file_search: FileSearchToolCall.FileSearch; + + /** + * The type of tool call. This is always going to be `file_search` for this type of + * tool call. + */ + type: 'file_search'; +} + +export namespace FileSearchToolCall { + /** + * For now, this is always going to be an empty object. + */ + export interface FileSearch { + /** + * The ranking options for the file search. + */ + ranking_options?: FileSearch.RankingOptions; + + /** + * The results of the file search. + */ + results?: Array; + } + + export namespace FileSearch { + /** + * The ranking options for the file search. + */ + export interface RankingOptions { + /** + * The ranker used for the file search. + */ + ranker: 'default_2024_08_21'; + + /** + * The score threshold for the file search. All values must be a floating point + * number between 0 and 1. + */ + score_threshold: number; + } + + /** + * A result instance of the file search. + */ + export interface Result { + /** + * The ID of the file that result was found in. + */ + file_id: string; + + /** + * The name of the file that result was found in. + */ + file_name: string; + + /** + * The score of the result. All values must be a floating point number between 0 + * and 1. + */ + score: number; + + /** + * The content of the result that was found. The content is only included if + * requested via the include query parameter. + */ + content?: Array; + } + + export namespace Result { + export interface Content { + /** + * The text content of the file. + */ + text?: string; + + /** + * The type of the content. + */ + type?: 'text'; + } + } + } +} + +export interface FileSearchToolCallDelta { + /** + * For now, this is always going to be an empty object. + */ + file_search: unknown; + + /** + * The index of the tool call in the tool calls array. + */ + index: number; + + /** + * The type of tool call. This is always going to be `file_search` for this type of + * tool call. + */ + type: 'file_search'; + + /** + * The ID of the tool call object. + */ + id?: string; +} + +export interface FunctionToolCall { + /** + * The ID of the tool call object. + */ + id: string; + + /** + * The definition of the function that was called. + */ + function: FunctionToolCall.Function; + + /** + * The type of tool call. This is always going to be `function` for this type of + * tool call. + */ + type: 'function'; +} + +export namespace FunctionToolCall { + /** + * The definition of the function that was called. + */ + export interface Function { + /** + * The arguments passed to the function. + */ + arguments: string; + + /** + * The name of the function. + */ + name: string; + + /** + * The output of the function. This will be `null` if the outputs have not been + * [submitted](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs) + * yet. + */ + output: string | null; + } +} + +export interface FunctionToolCallDelta { + /** + * The index of the tool call in the tool calls array. + */ + index: number; + + /** + * The type of tool call. This is always going to be `function` for this type of + * tool call. + */ + type: 'function'; + + /** + * The ID of the tool call object. + */ + id?: string; + + /** + * The definition of the function that was called. + */ + function?: FunctionToolCallDelta.Function; +} + +export namespace FunctionToolCallDelta { + /** + * The definition of the function that was called. + */ + export interface Function { + /** + * The arguments passed to the function. + */ + arguments?: string; + + /** + * The name of the function. + */ + name?: string; + + /** + * The output of the function. This will be `null` if the outputs have not been + * [submitted](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs) + * yet. + */ + output?: string | null; + } +} + +/** + * Details of the message creation by the run step. + */ +export interface MessageCreationStepDetails { + message_creation: MessageCreationStepDetails.MessageCreation; + + /** + * Always `message_creation`. + */ + type: 'message_creation'; +} + +export namespace MessageCreationStepDetails { + export interface MessageCreation { + /** + * The ID of the message that was created by this run step. + */ + message_id: string; + } +} + +/** + * Represents a step in execution of a run. + */ +export interface RunStep { + /** + * The identifier of the run step, which can be referenced in API endpoints. + */ + id: string; + + /** + * The ID of the + * [assistant](https://platform.openai.com/docs/api-reference/assistants) + * associated with the run step. + */ + assistant_id: string; + + /** + * The Unix timestamp (in seconds) for when the run step was cancelled. + */ + cancelled_at: number | null; + + /** + * The Unix timestamp (in seconds) for when the run step completed. + */ + completed_at: number | null; + + /** + * The Unix timestamp (in seconds) for when the run step was created. + */ + created_at: number; + + /** + * The Unix timestamp (in seconds) for when the run step expired. A step is + * considered expired if the parent run is expired. + */ + expired_at: number | null; + + /** + * The Unix timestamp (in seconds) for when the run step failed. + */ + failed_at: number | null; + + /** + * The last error associated with this run step. Will be `null` if there are no + * errors. + */ + last_error: RunStep.LastError | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata: Shared.Metadata | null; + + /** + * The object type, which is always `thread.run.step`. + */ + object: 'thread.run.step'; + + /** + * The ID of the [run](https://platform.openai.com/docs/api-reference/runs) that + * this run step is a part of. + */ + run_id: string; + + /** + * The status of the run step, which can be either `in_progress`, `cancelled`, + * `failed`, `completed`, or `expired`. + */ + status: 'in_progress' | 'cancelled' | 'failed' | 'completed' | 'expired'; + + /** + * The details of the run step. + */ + step_details: MessageCreationStepDetails | ToolCallsStepDetails; + + /** + * The ID of the [thread](https://platform.openai.com/docs/api-reference/threads) + * that was run. + */ + thread_id: string; + + /** + * The type of run step, which can be either `message_creation` or `tool_calls`. + */ + type: 'message_creation' | 'tool_calls'; + + /** + * Usage statistics related to the run step. This value will be `null` while the + * run step's status is `in_progress`. + */ + usage: RunStep.Usage | null; +} + +export namespace RunStep { + /** + * The last error associated with this run step. Will be `null` if there are no + * errors. + */ + export interface LastError { + /** + * One of `server_error` or `rate_limit_exceeded`. + */ + code: 'server_error' | 'rate_limit_exceeded'; + + /** + * A human-readable description of the error. + */ + message: string; + } + + /** + * Usage statistics related to the run step. This value will be `null` while the + * run step's status is `in_progress`. + */ + export interface Usage { + /** + * Number of completion tokens used over the course of the run step. + */ + completion_tokens: number; + + /** + * Number of prompt tokens used over the course of the run step. + */ + prompt_tokens: number; + + /** + * Total number of tokens used (prompt + completion). + */ + total_tokens: number; + } +} + +/** + * The delta containing the fields that have changed on the run step. + */ +export interface RunStepDelta { + /** + * The details of the run step. + */ + step_details?: RunStepDeltaMessageDelta | ToolCallDeltaObject; +} + +/** + * Represents a run step delta i.e. any changed fields on a run step during + * streaming. + */ +export interface RunStepDeltaEvent { + /** + * The identifier of the run step, which can be referenced in API endpoints. + */ + id: string; + + /** + * The delta containing the fields that have changed on the run step. + */ + delta: RunStepDelta; + + /** + * The object type, which is always `thread.run.step.delta`. + */ + object: 'thread.run.step.delta'; +} + +/** + * Details of the message creation by the run step. + */ +export interface RunStepDeltaMessageDelta { + /** + * Always `message_creation`. + */ + type: 'message_creation'; + + message_creation?: RunStepDeltaMessageDelta.MessageCreation; +} + +export namespace RunStepDeltaMessageDelta { + export interface MessageCreation { + /** + * The ID of the message that was created by this run step. + */ + message_id?: string; + } +} + +export type RunStepInclude = 'step_details.tool_calls[*].file_search.results[*].content'; + +/** + * Details of the Code Interpreter tool call the run step was involved in. + */ +export type ToolCall = CodeInterpreterToolCall | FileSearchToolCall | FunctionToolCall; + +/** + * Details of the Code Interpreter tool call the run step was involved in. + */ +export type ToolCallDelta = CodeInterpreterToolCallDelta | FileSearchToolCallDelta | FunctionToolCallDelta; + +/** + * Details of the tool call. + */ +export interface ToolCallDeltaObject { + /** + * Always `tool_calls`. + */ + type: 'tool_calls'; + + /** + * An array of tool calls the run step was involved in. These can be associated + * with one of three types of tools: `code_interpreter`, `file_search`, or + * `function`. + */ + tool_calls?: Array; +} + +/** + * Details of the tool call. + */ +export interface ToolCallsStepDetails { + /** + * An array of tool calls the run step was involved in. These can be associated + * with one of three types of tools: `code_interpreter`, `file_search`, or + * `function`. + */ + tool_calls: Array; + + /** + * Always `tool_calls`. + */ + type: 'tool_calls'; +} + +export interface StepRetrieveParams { + /** + * A list of additional fields to include in the response. Currently the only + * supported value is `step_details.tool_calls[*].file_search.results[*].content` + * to fetch the file search result content. + * + * See the + * [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings) + * for more information. + */ + include?: Array; +} + +export interface StepListParams extends CursorPageParams { + /** + * A cursor for use in pagination. `before` is an object ID that defines your place + * in the list. For instance, if you make a list request and receive 100 objects, + * starting with obj_foo, your subsequent call can include before=obj_foo in order + * to fetch the previous page of the list. + */ + before?: string; + + /** + * A list of additional fields to include in the response. Currently the only + * supported value is `step_details.tool_calls[*].file_search.results[*].content` + * to fetch the file search result content. + * + * See the + * [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings) + * for more information. + */ + include?: Array; + + /** + * Sort order by the `created_at` timestamp of the objects. `asc` for ascending + * order and `desc` for descending order. + */ + order?: 'asc' | 'desc'; +} + +Steps.RunStepsPage = RunStepsPage; + +export declare namespace Steps { + export { + type CodeInterpreterLogs as CodeInterpreterLogs, + type CodeInterpreterOutputImage as CodeInterpreterOutputImage, + type CodeInterpreterToolCall as CodeInterpreterToolCall, + type CodeInterpreterToolCallDelta as CodeInterpreterToolCallDelta, + type FileSearchToolCall as FileSearchToolCall, + type FileSearchToolCallDelta as FileSearchToolCallDelta, + type FunctionToolCall as FunctionToolCall, + type FunctionToolCallDelta as FunctionToolCallDelta, + type MessageCreationStepDetails as MessageCreationStepDetails, + type RunStep as RunStep, + type RunStepDelta as RunStepDelta, + type RunStepDeltaEvent as RunStepDeltaEvent, + type RunStepDeltaMessageDelta as RunStepDeltaMessageDelta, + type RunStepInclude as RunStepInclude, + type ToolCall as ToolCall, + type ToolCallDelta as ToolCallDelta, + type ToolCallDeltaObject as ToolCallDeltaObject, + type ToolCallsStepDetails as ToolCallsStepDetails, + RunStepsPage as RunStepsPage, + type StepRetrieveParams as StepRetrieveParams, + type StepListParams as StepListParams, + }; +} diff --git a/src/resources/beta/threads/threads.ts b/src/resources/beta/threads/threads.ts new file mode 100644 index 000000000..c0c6bc8e4 --- /dev/null +++ b/src/resources/beta/threads/threads.ts @@ -0,0 +1,1754 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../../resource'; +import { isRequestOptions } from '../../../core'; +import { AssistantStream, ThreadCreateAndRunParamsBaseStream } from '../../../lib/AssistantStream'; +import { APIPromise } from '../../../core'; +import * as Core from '../../../core'; +import * as ThreadsAPI from './threads'; +import * as Shared from '../../shared'; +import * as AssistantsAPI from '../assistants'; +import * as MessagesAPI from './messages'; +import { + Annotation, + AnnotationDelta, + FileCitationAnnotation, + FileCitationDeltaAnnotation, + FilePathAnnotation, + FilePathDeltaAnnotation, + ImageFile, + ImageFileContentBlock, + ImageFileDelta, + ImageFileDeltaBlock, + ImageURL, + ImageURLContentBlock, + ImageURLDelta, + ImageURLDeltaBlock, + Message as MessagesAPIMessage, + MessageContent, + MessageContentDelta, + MessageContentPartParam, + MessageCreateParams, + MessageDeleted, + MessageDelta, + MessageDeltaEvent, + MessageListParams, + MessageUpdateParams, + Messages, + MessagesPage, + RefusalContentBlock, + RefusalDeltaBlock, + Text, + TextContentBlock, + TextContentBlockParam, + TextDelta, + TextDeltaBlock, +} from './messages'; +import * as RunsAPI from './runs/runs'; +import { + RequiredActionFunctionToolCall, + Run, + RunCreateAndPollParams, + RunCreateAndStreamParams, + RunCreateParams, + RunCreateParamsNonStreaming, + RunCreateParamsStreaming, + RunListParams, + RunStatus, + RunStreamParams, + RunSubmitToolOutputsAndPollParams, + RunSubmitToolOutputsParams, + RunSubmitToolOutputsParamsNonStreaming, + RunSubmitToolOutputsParamsStreaming, + RunSubmitToolOutputsStreamParams, + RunUpdateParams, + Runs, + RunsPage, +} from './runs/runs'; +import { Stream } from '../../../streaming'; + +export class Threads extends APIResource { + runs: RunsAPI.Runs = new RunsAPI.Runs(this._client); + messages: MessagesAPI.Messages = new MessagesAPI.Messages(this._client); + + /** + * Create a thread. + * + * @example + * ```ts + * const thread = await client.beta.threads.create(); + * ``` + */ + create(body?: ThreadCreateParams, options?: Core.RequestOptions): Core.APIPromise; + create(options?: Core.RequestOptions): Core.APIPromise; + create( + body: ThreadCreateParams | Core.RequestOptions = {}, + options?: Core.RequestOptions, + ): Core.APIPromise { + if (isRequestOptions(body)) { + return this.create({}, body); + } + return this._client.post('/threads', { + body, + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Retrieves a thread. + * + * @example + * ```ts + * const thread = await client.beta.threads.retrieve( + * 'thread_id', + * ); + * ``` + */ + retrieve(threadId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.get(`/threads/${threadId}`, { + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Modifies a thread. + * + * @example + * ```ts + * const thread = await client.beta.threads.update( + * 'thread_id', + * ); + * ``` + */ + update(threadId: string, body: ThreadUpdateParams, options?: Core.RequestOptions): Core.APIPromise { + return this._client.post(`/threads/${threadId}`, { + body, + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Delete a thread. + * + * @example + * ```ts + * const threadDeleted = await client.beta.threads.del( + * 'thread_id', + * ); + * ``` + */ + del(threadId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.delete(`/threads/${threadId}`, { + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Create a thread and run it in one request. + * + * @example + * ```ts + * const run = await client.beta.threads.createAndRun({ + * assistant_id: 'assistant_id', + * }); + * ``` + */ + createAndRun( + body: ThreadCreateAndRunParamsNonStreaming, + options?: Core.RequestOptions, + ): APIPromise; + createAndRun( + body: ThreadCreateAndRunParamsStreaming, + options?: Core.RequestOptions, + ): APIPromise>; + createAndRun( + body: ThreadCreateAndRunParamsBase, + options?: Core.RequestOptions, + ): APIPromise | RunsAPI.Run>; + createAndRun( + body: ThreadCreateAndRunParams, + options?: Core.RequestOptions, + ): APIPromise | APIPromise> { + return this._client.post('/threads/runs', { + body, + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + stream: body.stream ?? false, + }) as APIPromise | APIPromise>; + } + + /** + * A helper to create a thread, start a run and then poll for a terminal state. + * More information on Run lifecycles can be found here: + * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps + */ + async createAndRunPoll( + body: ThreadCreateAndRunParamsNonStreaming, + options?: Core.RequestOptions & { pollIntervalMs?: number }, + ): Promise { + const run = await this.createAndRun(body, options); + return await this.runs.poll(run.thread_id, run.id, options); + } + + /** + * Create a thread and stream the run back + */ + createAndRunStream( + body: ThreadCreateAndRunParamsBaseStream, + options?: Core.RequestOptions, + ): AssistantStream { + return AssistantStream.createThreadAssistantStream(body, this._client.beta.threads, options); + } +} + +/** + * Specifies the format that the model must output. Compatible with + * [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), + * [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4), + * and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`. + * + * Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured + * Outputs which ensures the model will match your supplied JSON schema. Learn more + * in the + * [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). + * + * Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the + * message the model generates is valid JSON. + * + * **Important:** when using JSON mode, you **must** also instruct the model to + * produce JSON yourself via a system or user message. Without this, the model may + * generate an unending stream of whitespace until the generation reaches the token + * limit, resulting in a long-running and seemingly "stuck" request. Also note that + * the message content may be partially cut off if `finish_reason="length"`, which + * indicates the generation exceeded `max_tokens` or the conversation exceeded the + * max context length. + */ +export type AssistantResponseFormatOption = + | 'auto' + | Shared.ResponseFormatText + | Shared.ResponseFormatJSONObject + | Shared.ResponseFormatJSONSchema; + +/** + * Specifies a tool the model should use. Use to force the model to call a specific + * tool. + */ +export interface AssistantToolChoice { + /** + * The type of the tool. If type is `function`, the function name must be set + */ + type: 'function' | 'code_interpreter' | 'file_search'; + + function?: AssistantToolChoiceFunction; +} + +export interface AssistantToolChoiceFunction { + /** + * The name of the function to call. + */ + name: string; +} + +/** + * Controls which (if any) tool is called by the model. `none` means the model will + * not call any tools and instead generates a message. `auto` is the default value + * and means the model can pick between generating a message or calling one or more + * tools. `required` means the model must call one or more tools before responding + * to the user. Specifying a particular tool like `{"type": "file_search"}` or + * `{"type": "function", "function": {"name": "my_function"}}` forces the model to + * call that tool. + */ +export type AssistantToolChoiceOption = 'none' | 'auto' | 'required' | AssistantToolChoice; + +/** + * Represents a thread that contains + * [messages](https://platform.openai.com/docs/api-reference/messages). + */ +export interface Thread { + /** + * The identifier, which can be referenced in API endpoints. + */ + id: string; + + /** + * The Unix timestamp (in seconds) for when the thread was created. + */ + created_at: number; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata: Shared.Metadata | null; + + /** + * The object type, which is always `thread`. + */ + object: 'thread'; + + /** + * A set of resources that are made available to the assistant's tools in this + * thread. The resources are specific to the type of tool. For example, the + * `code_interpreter` tool requires a list of file IDs, while the `file_search` + * tool requires a list of vector store IDs. + */ + tool_resources: Thread.ToolResources | null; +} + +export namespace Thread { + /** + * A set of resources that are made available to the assistant's tools in this + * thread. The resources are specific to the type of tool. For example, the + * `code_interpreter` tool requires a list of file IDs, while the `file_search` + * tool requires a list of vector store IDs. + */ + export interface ToolResources { + code_interpreter?: ToolResources.CodeInterpreter; + + file_search?: ToolResources.FileSearch; + } + + export namespace ToolResources { + export interface CodeInterpreter { + /** + * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made + * available to the `code_interpreter` tool. There can be a maximum of 20 files + * associated with the tool. + */ + file_ids?: Array; + } + + export interface FileSearch { + /** + * The + * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) + * attached to this thread. There can be a maximum of 1 vector store attached to + * the thread. + */ + vector_store_ids?: Array; + } + } +} + +export interface ThreadDeleted { + id: string; + + deleted: boolean; + + object: 'thread.deleted'; +} + +export interface ThreadCreateParams { + /** + * A list of [messages](https://platform.openai.com/docs/api-reference/messages) to + * start the thread with. + */ + messages?: Array; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + + /** + * A set of resources that are made available to the assistant's tools in this + * thread. The resources are specific to the type of tool. For example, the + * `code_interpreter` tool requires a list of file IDs, while the `file_search` + * tool requires a list of vector store IDs. + */ + tool_resources?: ThreadCreateParams.ToolResources | null; +} + +export namespace ThreadCreateParams { + export interface Message { + /** + * The text contents of the message. + */ + content: string | Array; + + /** + * The role of the entity that is creating the message. Allowed values include: + * + * - `user`: Indicates the message is sent by an actual user and should be used in + * most cases to represent user-generated messages. + * - `assistant`: Indicates the message is generated by the assistant. Use this + * value to insert messages from the assistant into the conversation. + */ + role: 'user' | 'assistant'; + + /** + * A list of files attached to the message, and the tools they should be added to. + */ + attachments?: Array | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + } + + export namespace Message { + export interface Attachment { + /** + * The ID of the file to attach to the message. + */ + file_id?: string; + + /** + * The tools to add this file to. + */ + tools?: Array; + } + + export namespace Attachment { + export interface FileSearch { + /** + * The type of tool being defined: `file_search` + */ + type: 'file_search'; + } + } + } + + /** + * A set of resources that are made available to the assistant's tools in this + * thread. The resources are specific to the type of tool. For example, the + * `code_interpreter` tool requires a list of file IDs, while the `file_search` + * tool requires a list of vector store IDs. + */ + export interface ToolResources { + code_interpreter?: ToolResources.CodeInterpreter; + + file_search?: ToolResources.FileSearch; + } + + export namespace ToolResources { + export interface CodeInterpreter { + /** + * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made + * available to the `code_interpreter` tool. There can be a maximum of 20 files + * associated with the tool. + */ + file_ids?: Array; + } + + export interface FileSearch { + /** + * The + * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) + * attached to this thread. There can be a maximum of 1 vector store attached to + * the thread. + */ + vector_store_ids?: Array; + + /** + * A helper to create a + * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) + * with file_ids and attach it to this thread. There can be a maximum of 1 vector + * store attached to the thread. + */ + vector_stores?: Array; + } + + export namespace FileSearch { + export interface VectorStore { + /** + * The chunking strategy used to chunk the file(s). If not set, will use the `auto` + * strategy. + */ + chunking_strategy?: VectorStore.Auto | VectorStore.Static; + + /** + * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs to + * add to the vector store. There can be a maximum of 10000 files in a vector + * store. + */ + file_ids?: Array; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + } + + export namespace VectorStore { + /** + * The default strategy. This strategy currently uses a `max_chunk_size_tokens` of + * `800` and `chunk_overlap_tokens` of `400`. + */ + export interface Auto { + /** + * Always `auto`. + */ + type: 'auto'; + } + + export interface Static { + static: Static.Static; + + /** + * Always `static`. + */ + type: 'static'; + } + + export namespace Static { + export interface Static { + /** + * The number of tokens that overlap between chunks. The default value is `400`. + * + * Note that the overlap must not exceed half of `max_chunk_size_tokens`. + */ + chunk_overlap_tokens: number; + + /** + * The maximum number of tokens in each chunk. The default value is `800`. The + * minimum value is `100` and the maximum value is `4096`. + */ + max_chunk_size_tokens: number; + } + } + } + } + } +} + +export interface ThreadUpdateParams { + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + + /** + * A set of resources that are made available to the assistant's tools in this + * thread. The resources are specific to the type of tool. For example, the + * `code_interpreter` tool requires a list of file IDs, while the `file_search` + * tool requires a list of vector store IDs. + */ + tool_resources?: ThreadUpdateParams.ToolResources | null; +} + +export namespace ThreadUpdateParams { + /** + * A set of resources that are made available to the assistant's tools in this + * thread. The resources are specific to the type of tool. For example, the + * `code_interpreter` tool requires a list of file IDs, while the `file_search` + * tool requires a list of vector store IDs. + */ + export interface ToolResources { + code_interpreter?: ToolResources.CodeInterpreter; + + file_search?: ToolResources.FileSearch; + } + + export namespace ToolResources { + export interface CodeInterpreter { + /** + * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made + * available to the `code_interpreter` tool. There can be a maximum of 20 files + * associated with the tool. + */ + file_ids?: Array; + } + + export interface FileSearch { + /** + * The + * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) + * attached to this thread. There can be a maximum of 1 vector store attached to + * the thread. + */ + vector_store_ids?: Array; + } + } +} + +export type ThreadCreateAndRunParams = + | ThreadCreateAndRunParamsNonStreaming + | ThreadCreateAndRunParamsStreaming; + +export interface ThreadCreateAndRunParamsBase { + /** + * The ID of the + * [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to + * execute this run. + */ + assistant_id: string; + + /** + * Override the default system message of the assistant. This is useful for + * modifying the behavior on a per-run basis. + */ + instructions?: string | null; + + /** + * The maximum number of completion tokens that may be used over the course of the + * run. The run will make a best effort to use only the number of completion tokens + * specified, across multiple turns of the run. If the run exceeds the number of + * completion tokens specified, the run will end with status `incomplete`. See + * `incomplete_details` for more info. + */ + max_completion_tokens?: number | null; + + /** + * The maximum number of prompt tokens that may be used over the course of the run. + * The run will make a best effort to use only the number of prompt tokens + * specified, across multiple turns of the run. If the run exceeds the number of + * prompt tokens specified, the run will end with status `incomplete`. See + * `incomplete_details` for more info. + */ + max_prompt_tokens?: number | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + + /** + * The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to + * be used to execute this run. If a value is provided here, it will override the + * model associated with the assistant. If not, the model associated with the + * assistant will be used. + */ + model?: (string & {}) | Shared.ChatModel | null; + + /** + * Whether to enable + * [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) + * during tool use. + */ + parallel_tool_calls?: boolean; + + /** + * Specifies the format that the model must output. Compatible with + * [GPT-4o](https://platform.openai.com/docs/models#gpt-4o), + * [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4), + * and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`. + * + * Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured + * Outputs which ensures the model will match your supplied JSON schema. Learn more + * in the + * [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). + * + * Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the + * message the model generates is valid JSON. + * + * **Important:** when using JSON mode, you **must** also instruct the model to + * produce JSON yourself via a system or user message. Without this, the model may + * generate an unending stream of whitespace until the generation reaches the token + * limit, resulting in a long-running and seemingly "stuck" request. Also note that + * the message content may be partially cut off if `finish_reason="length"`, which + * indicates the generation exceeded `max_tokens` or the conversation exceeded the + * max context length. + */ + response_format?: AssistantResponseFormatOption | null; + + /** + * If `true`, returns a stream of events that happen during the Run as server-sent + * events, terminating when the Run enters a terminal state with a `data: [DONE]` + * message. + */ + stream?: boolean | null; + + /** + * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will + * make the output more random, while lower values like 0.2 will make it more + * focused and deterministic. + */ + temperature?: number | null; + + /** + * Options to create a new thread. If no thread is provided when running a request, + * an empty thread will be created. + */ + thread?: ThreadCreateAndRunParams.Thread; + + /** + * Controls which (if any) tool is called by the model. `none` means the model will + * not call any tools and instead generates a message. `auto` is the default value + * and means the model can pick between generating a message or calling one or more + * tools. `required` means the model must call one or more tools before responding + * to the user. Specifying a particular tool like `{"type": "file_search"}` or + * `{"type": "function", "function": {"name": "my_function"}}` forces the model to + * call that tool. + */ + tool_choice?: AssistantToolChoiceOption | null; + + /** + * A set of resources that are used by the assistant's tools. The resources are + * specific to the type of tool. For example, the `code_interpreter` tool requires + * a list of file IDs, while the `file_search` tool requires a list of vector store + * IDs. + */ + tool_resources?: ThreadCreateAndRunParams.ToolResources | null; + + /** + * Override the tools the assistant can use for this run. This is useful for + * modifying the behavior on a per-run basis. + */ + tools?: Array | null; + + /** + * An alternative to sampling with temperature, called nucleus sampling, where the + * model considers the results of the tokens with top_p probability mass. So 0.1 + * means only the tokens comprising the top 10% probability mass are considered. + * + * We generally recommend altering this or temperature but not both. + */ + top_p?: number | null; + + /** + * Controls for how a thread will be truncated prior to the run. Use this to + * control the intial context window of the run. + */ + truncation_strategy?: ThreadCreateAndRunParams.TruncationStrategy | null; +} + +export namespace ThreadCreateAndRunParams { + /** + * Options to create a new thread. If no thread is provided when running a request, + * an empty thread will be created. + */ + export interface Thread { + /** + * A list of [messages](https://platform.openai.com/docs/api-reference/messages) to + * start the thread with. + */ + messages?: Array; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + + /** + * A set of resources that are made available to the assistant's tools in this + * thread. The resources are specific to the type of tool. For example, the + * `code_interpreter` tool requires a list of file IDs, while the `file_search` + * tool requires a list of vector store IDs. + */ + tool_resources?: Thread.ToolResources | null; + } + + export namespace Thread { + export interface Message { + /** + * The text contents of the message. + */ + content: string | Array; + + /** + * The role of the entity that is creating the message. Allowed values include: + * + * - `user`: Indicates the message is sent by an actual user and should be used in + * most cases to represent user-generated messages. + * - `assistant`: Indicates the message is generated by the assistant. Use this + * value to insert messages from the assistant into the conversation. + */ + role: 'user' | 'assistant'; + + /** + * A list of files attached to the message, and the tools they should be added to. + */ + attachments?: Array | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + } + + export namespace Message { + export interface Attachment { + /** + * The ID of the file to attach to the message. + */ + file_id?: string; + + /** + * The tools to add this file to. + */ + tools?: Array; + } + + export namespace Attachment { + export interface FileSearch { + /** + * The type of tool being defined: `file_search` + */ + type: 'file_search'; + } + } + } + + /** + * A set of resources that are made available to the assistant's tools in this + * thread. The resources are specific to the type of tool. For example, the + * `code_interpreter` tool requires a list of file IDs, while the `file_search` + * tool requires a list of vector store IDs. + */ + export interface ToolResources { + code_interpreter?: ToolResources.CodeInterpreter; + + file_search?: ToolResources.FileSearch; + } + + export namespace ToolResources { + export interface CodeInterpreter { + /** + * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made + * available to the `code_interpreter` tool. There can be a maximum of 20 files + * associated with the tool. + */ + file_ids?: Array; + } + + export interface FileSearch { + /** + * The + * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) + * attached to this thread. There can be a maximum of 1 vector store attached to + * the thread. + */ + vector_store_ids?: Array; + + /** + * A helper to create a + * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) + * with file_ids and attach it to this thread. There can be a maximum of 1 vector + * store attached to the thread. + */ + vector_stores?: Array; + } + + export namespace FileSearch { + export interface VectorStore { + /** + * The chunking strategy used to chunk the file(s). If not set, will use the `auto` + * strategy. + */ + chunking_strategy?: VectorStore.Auto | VectorStore.Static; + + /** + * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs to + * add to the vector store. There can be a maximum of 10000 files in a vector + * store. + */ + file_ids?: Array; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + } + + export namespace VectorStore { + /** + * The default strategy. This strategy currently uses a `max_chunk_size_tokens` of + * `800` and `chunk_overlap_tokens` of `400`. + */ + export interface Auto { + /** + * Always `auto`. + */ + type: 'auto'; + } + + export interface Static { + static: Static.Static; + + /** + * Always `static`. + */ + type: 'static'; + } + + export namespace Static { + export interface Static { + /** + * The number of tokens that overlap between chunks. The default value is `400`. + * + * Note that the overlap must not exceed half of `max_chunk_size_tokens`. + */ + chunk_overlap_tokens: number; + + /** + * The maximum number of tokens in each chunk. The default value is `800`. The + * minimum value is `100` and the maximum value is `4096`. + */ + max_chunk_size_tokens: number; + } + } + } + } + } + } + + /** + * A set of resources that are used by the assistant's tools. The resources are + * specific to the type of tool. For example, the `code_interpreter` tool requires + * a list of file IDs, while the `file_search` tool requires a list of vector store + * IDs. + */ + export interface ToolResources { + code_interpreter?: ToolResources.CodeInterpreter; + + file_search?: ToolResources.FileSearch; + } + + export namespace ToolResources { + export interface CodeInterpreter { + /** + * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made + * available to the `code_interpreter` tool. There can be a maximum of 20 files + * associated with the tool. + */ + file_ids?: Array; + } + + export interface FileSearch { + /** + * The ID of the + * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) + * attached to this assistant. There can be a maximum of 1 vector store attached to + * the assistant. + */ + vector_store_ids?: Array; + } + } + + /** + * Controls for how a thread will be truncated prior to the run. Use this to + * control the intial context window of the run. + */ + export interface TruncationStrategy { + /** + * The truncation strategy to use for the thread. The default is `auto`. If set to + * `last_messages`, the thread will be truncated to the n most recent messages in + * the thread. When set to `auto`, messages in the middle of the thread will be + * dropped to fit the context length of the model, `max_prompt_tokens`. + */ + type: 'auto' | 'last_messages'; + + /** + * The number of most recent messages from the thread when constructing the context + * for the run. + */ + last_messages?: number | null; + } + + export type ThreadCreateAndRunParamsNonStreaming = ThreadsAPI.ThreadCreateAndRunParamsNonStreaming; + export type ThreadCreateAndRunParamsStreaming = ThreadsAPI.ThreadCreateAndRunParamsStreaming; +} + +export interface ThreadCreateAndRunParamsNonStreaming extends ThreadCreateAndRunParamsBase { + /** + * If `true`, returns a stream of events that happen during the Run as server-sent + * events, terminating when the Run enters a terminal state with a `data: [DONE]` + * message. + */ + stream?: false | null; +} + +export interface ThreadCreateAndRunParamsStreaming extends ThreadCreateAndRunParamsBase { + /** + * If `true`, returns a stream of events that happen during the Run as server-sent + * events, terminating when the Run enters a terminal state with a `data: [DONE]` + * message. + */ + stream: true; +} + +export interface ThreadCreateAndRunPollParams { + /** + * The ID of the + * [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to + * execute this run. + */ + assistant_id: string; + + /** + * Override the default system message of the assistant. This is useful for + * modifying the behavior on a per-run basis. + */ + instructions?: string | null; + + /** + * The maximum number of completion tokens that may be used over the course of the + * run. The run will make a best effort to use only the number of completion tokens + * specified, across multiple turns of the run. If the run exceeds the number of + * completion tokens specified, the run will end with status `incomplete`. See + * `incomplete_details` for more info. + */ + max_completion_tokens?: number | null; + + /** + * The maximum number of prompt tokens that may be used over the course of the run. + * The run will make a best effort to use only the number of prompt tokens + * specified, across multiple turns of the run. If the run exceeds the number of + * prompt tokens specified, the run will end with status `incomplete`. See + * `incomplete_details` for more info. + */ + max_prompt_tokens?: number | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format. Keys + * can be a maximum of 64 characters long and values can be a maxium of 512 + * characters long. + */ + metadata?: unknown | null; + + /** + * The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to + * be used to execute this run. If a value is provided here, it will override the + * model associated with the assistant. If not, the model associated with the + * assistant will be used. + */ + model?: + | (string & {}) + | 'gpt-4o' + | 'gpt-4o-2024-05-13' + | 'gpt-4-turbo' + | 'gpt-4-turbo-2024-04-09' + | 'gpt-4-0125-preview' + | 'gpt-4-turbo-preview' + | 'gpt-4-1106-preview' + | 'gpt-4-vision-preview' + | 'gpt-4' + | 'gpt-4-0314' + | 'gpt-4-0613' + | 'gpt-4-32k' + | 'gpt-4-32k-0314' + | 'gpt-4-32k-0613' + | 'gpt-3.5-turbo' + | 'gpt-3.5-turbo-16k' + | 'gpt-3.5-turbo-0613' + | 'gpt-3.5-turbo-1106' + | 'gpt-3.5-turbo-0125' + | 'gpt-3.5-turbo-16k-0613' + | null; + + /** + * Specifies the format that the model must output. Compatible with + * [GPT-4o](https://platform.openai.com/docs/models/gpt-4o), + * [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4), + * and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`. + * + * Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the + * message the model generates is valid JSON. + * + * **Important:** when using JSON mode, you **must** also instruct the model to + * produce JSON yourself via a system or user message. Without this, the model may + * generate an unending stream of whitespace until the generation reaches the token + * limit, resulting in a long-running and seemingly "stuck" request. Also note that + * the message content may be partially cut off if `finish_reason="length"`, which + * indicates the generation exceeded `max_tokens` or the conversation exceeded the + * max context length. + */ + response_format?: AssistantResponseFormatOption | null; + + /** + * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will + * make the output more random, while lower values like 0.2 will make it more + * focused and deterministic. + */ + temperature?: number | null; + + /** + * If no thread is provided, an empty thread will be created. + */ + thread?: ThreadCreateAndRunPollParams.Thread; + + /** + * Controls which (if any) tool is called by the model. `none` means the model will + * not call any tools and instead generates a message. `auto` is the default value + * and means the model can pick between generating a message or calling one or more + * tools. `required` means the model must call one or more tools before responding + * to the user. Specifying a particular tool like `{"type": "file_search"}` or + * `{"type": "function", "function": {"name": "my_function"}}` forces the model to + * call that tool. + */ + tool_choice?: AssistantToolChoiceOption | null; + + /** + * A set of resources that are used by the assistant's tools. The resources are + * specific to the type of tool. For example, the `code_interpreter` tool requires + * a list of file IDs, while the `file_search` tool requires a list of vector store + * IDs. + */ + tool_resources?: ThreadCreateAndRunPollParams.ToolResources | null; + + /** + * Override the tools the assistant can use for this run. This is useful for + * modifying the behavior on a per-run basis. + */ + tools?: Array< + AssistantsAPI.CodeInterpreterTool | AssistantsAPI.FileSearchTool | AssistantsAPI.FunctionTool + > | null; + + /** + * An alternative to sampling with temperature, called nucleus sampling, where the + * model considers the results of the tokens with top_p probability mass. So 0.1 + * means only the tokens comprising the top 10% probability mass are considered. + * + * We generally recommend altering this or temperature but not both. + */ + top_p?: number | null; + + /** + * Controls for how a thread will be truncated prior to the run. Use this to + * control the intial context window of the run. + */ + truncation_strategy?: ThreadCreateAndRunPollParams.TruncationStrategy | null; +} + +export namespace ThreadCreateAndRunPollParams { + /** + * If no thread is provided, an empty thread will be created. + */ + export interface Thread { + /** + * A list of [messages](https://platform.openai.com/docs/api-reference/messages) to + * start the thread with. + */ + messages?: Array; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format. Keys + * can be a maximum of 64 characters long and values can be a maxium of 512 + * characters long. + */ + metadata?: unknown | null; + + /** + * A set of resources that are made available to the assistant's tools in this + * thread. The resources are specific to the type of tool. For example, the + * `code_interpreter` tool requires a list of file IDs, while the `file_search` + * tool requires a list of vector store IDs. + */ + tool_resources?: Thread.ToolResources | null; + } + + export namespace Thread { + export interface Message { + /** + * The text contents of the message. + */ + content: string | Array; + + /** + * The role of the entity that is creating the message. Allowed values include: + * + * - `user`: Indicates the message is sent by an actual user and should be used in + * most cases to represent user-generated messages. + * - `assistant`: Indicates the message is generated by the assistant. Use this + * value to insert messages from the assistant into the conversation. + */ + role: 'user' | 'assistant'; + + /** + * A list of files attached to the message, and the tools they should be added to. + */ + attachments?: Array | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format. Keys + * can be a maximum of 64 characters long and values can be a maxium of 512 + * characters long. + */ + metadata?: unknown | null; + } + + export namespace Message { + export interface Attachment { + /** + * The ID of the file to attach to the message. + */ + file_id?: string; + + /** + * The tools to add this file to. + */ + tools?: Array; + } + } + + /** + * A set of resources that are made available to the assistant's tools in this + * thread. The resources are specific to the type of tool. For example, the + * `code_interpreter` tool requires a list of file IDs, while the `file_search` + * tool requires a list of vector store IDs. + */ + export interface ToolResources { + code_interpreter?: ToolResources.CodeInterpreter; + + file_search?: ToolResources.FileSearch; + } + + export namespace ToolResources { + export interface CodeInterpreter { + /** + * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made + * available to the `code_interpreter` tool. There can be a maximum of 20 files + * associated with the tool. + */ + file_ids?: Array; + } + + export interface FileSearch { + /** + * The + * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) + * attached to this thread. There can be a maximum of 1 vector store attached to + * the thread. + */ + vector_store_ids?: Array; + + /** + * A helper to create a + * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) + * with file_ids and attach it to this thread. There can be a maximum of 1 vector + * store attached to the thread. + */ + vector_stores?: Array; + } + + export namespace FileSearch { + export interface VectorStore { + /** + * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs to + * add to the vector store. There can be a maximum of 10000 files in a vector + * store. + */ + file_ids?: Array; + + /** + * Set of 16 key-value pairs that can be attached to a vector store. This can be + * useful for storing additional information about the vector store in a structured + * format. Keys can be a maximum of 64 characters long and values can be a maxium + * of 512 characters long. + */ + metadata?: unknown; + } + } + } + } + + /** + * A set of resources that are used by the assistant's tools. The resources are + * specific to the type of tool. For example, the `code_interpreter` tool requires + * a list of file IDs, while the `file_search` tool requires a list of vector store + * IDs. + */ + export interface ToolResources { + code_interpreter?: ToolResources.CodeInterpreter; + + file_search?: ToolResources.FileSearch; + } + + export namespace ToolResources { + export interface CodeInterpreter { + /** + * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made + * available to the `code_interpreter` tool. There can be a maximum of 20 files + * associated with the tool. + */ + file_ids?: Array; + } + + export interface FileSearch { + /** + * The ID of the + * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) + * attached to this assistant. There can be a maximum of 1 vector store attached to + * the assistant. + */ + vector_store_ids?: Array; + } + } + + /** + * Controls for how a thread will be truncated prior to the run. Use this to + * control the intial context window of the run. + */ + export interface TruncationStrategy { + /** + * The truncation strategy to use for the thread. The default is `auto`. If set to + * `last_messages`, the thread will be truncated to the n most recent messages in + * the thread. When set to `auto`, messages in the middle of the thread will be + * dropped to fit the context length of the model, `max_prompt_tokens`. + */ + type: 'auto' | 'last_messages'; + + /** + * The number of most recent messages from the thread when constructing the context + * for the run. + */ + last_messages?: number | null; + } +} + +export interface ThreadCreateAndRunStreamParams { + /** + * The ID of the + * [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to + * execute this run. + */ + assistant_id: string; + + /** + * Override the default system message of the assistant. This is useful for + * modifying the behavior on a per-run basis. + */ + instructions?: string | null; + + /** + * The maximum number of completion tokens that may be used over the course of the + * run. The run will make a best effort to use only the number of completion tokens + * specified, across multiple turns of the run. If the run exceeds the number of + * completion tokens specified, the run will end with status `incomplete`. See + * `incomplete_details` for more info. + */ + max_completion_tokens?: number | null; + + /** + * The maximum number of prompt tokens that may be used over the course of the run. + * The run will make a best effort to use only the number of prompt tokens + * specified, across multiple turns of the run. If the run exceeds the number of + * prompt tokens specified, the run will end with status `incomplete`. See + * `incomplete_details` for more info. + */ + max_prompt_tokens?: number | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format. Keys + * can be a maximum of 64 characters long and values can be a maxium of 512 + * characters long. + */ + metadata?: unknown | null; + + /** + * The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to + * be used to execute this run. If a value is provided here, it will override the + * model associated with the assistant. If not, the model associated with the + * assistant will be used. + */ + model?: + | (string & {}) + | 'gpt-4o' + | 'gpt-4o-2024-05-13' + | 'gpt-4-turbo' + | 'gpt-4-turbo-2024-04-09' + | 'gpt-4-0125-preview' + | 'gpt-4-turbo-preview' + | 'gpt-4-1106-preview' + | 'gpt-4-vision-preview' + | 'gpt-4' + | 'gpt-4-0314' + | 'gpt-4-0613' + | 'gpt-4-32k' + | 'gpt-4-32k-0314' + | 'gpt-4-32k-0613' + | 'gpt-3.5-turbo' + | 'gpt-3.5-turbo-16k' + | 'gpt-3.5-turbo-0613' + | 'gpt-3.5-turbo-1106' + | 'gpt-3.5-turbo-0125' + | 'gpt-3.5-turbo-16k-0613' + | null; + + /** + * Specifies the format that the model must output. Compatible with + * [GPT-4o](https://platform.openai.com/docs/models/gpt-4o), + * [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4), + * and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`. + * + * Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the + * message the model generates is valid JSON. + * + * **Important:** when using JSON mode, you **must** also instruct the model to + * produce JSON yourself via a system or user message. Without this, the model may + * generate an unending stream of whitespace until the generation reaches the token + * limit, resulting in a long-running and seemingly "stuck" request. Also note that + * the message content may be partially cut off if `finish_reason="length"`, which + * indicates the generation exceeded `max_tokens` or the conversation exceeded the + * max context length. + */ + response_format?: AssistantResponseFormatOption | null; + + /** + * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will + * make the output more random, while lower values like 0.2 will make it more + * focused and deterministic. + */ + temperature?: number | null; + + /** + * If no thread is provided, an empty thread will be created. + */ + thread?: ThreadCreateAndRunStreamParams.Thread; + + /** + * Controls which (if any) tool is called by the model. `none` means the model will + * not call any tools and instead generates a message. `auto` is the default value + * and means the model can pick between generating a message or calling one or more + * tools. `required` means the model must call one or more tools before responding + * to the user. Specifying a particular tool like `{"type": "file_search"}` or + * `{"type": "function", "function": {"name": "my_function"}}` forces the model to + * call that tool. + */ + tool_choice?: AssistantToolChoiceOption | null; + + /** + * A set of resources that are used by the assistant's tools. The resources are + * specific to the type of tool. For example, the `code_interpreter` tool requires + * a list of file IDs, while the `file_search` tool requires a list of vector store + * IDs. + */ + tool_resources?: ThreadCreateAndRunStreamParams.ToolResources | null; + + /** + * Override the tools the assistant can use for this run. This is useful for + * modifying the behavior on a per-run basis. + */ + tools?: Array< + AssistantsAPI.CodeInterpreterTool | AssistantsAPI.FileSearchTool | AssistantsAPI.FunctionTool + > | null; + + /** + * An alternative to sampling with temperature, called nucleus sampling, where the + * model considers the results of the tokens with top_p probability mass. So 0.1 + * means only the tokens comprising the top 10% probability mass are considered. + * + * We generally recommend altering this or temperature but not both. + */ + top_p?: number | null; + + /** + * Controls for how a thread will be truncated prior to the run. Use this to + * control the intial context window of the run. + */ + truncation_strategy?: ThreadCreateAndRunStreamParams.TruncationStrategy | null; +} + +export namespace ThreadCreateAndRunStreamParams { + /** + * If no thread is provided, an empty thread will be created. + */ + export interface Thread { + /** + * A list of [messages](https://platform.openai.com/docs/api-reference/messages) to + * start the thread with. + */ + messages?: Array; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format. Keys + * can be a maximum of 64 characters long and values can be a maxium of 512 + * characters long. + */ + metadata?: unknown | null; + + /** + * A set of resources that are made available to the assistant's tools in this + * thread. The resources are specific to the type of tool. For example, the + * `code_interpreter` tool requires a list of file IDs, while the `file_search` + * tool requires a list of vector store IDs. + */ + tool_resources?: Thread.ToolResources | null; + } + + export namespace Thread { + export interface Message { + /** + * The text contents of the message. + */ + content: string | Array; + + /** + * The role of the entity that is creating the message. Allowed values include: + * + * - `user`: Indicates the message is sent by an actual user and should be used in + * most cases to represent user-generated messages. + * - `assistant`: Indicates the message is generated by the assistant. Use this + * value to insert messages from the assistant into the conversation. + */ + role: 'user' | 'assistant'; + + /** + * A list of files attached to the message, and the tools they should be added to. + */ + attachments?: Array | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format. Keys + * can be a maximum of 64 characters long and values can be a maxium of 512 + * characters long. + */ + metadata?: unknown | null; + } + + export namespace Message { + export interface Attachment { + /** + * The ID of the file to attach to the message. + */ + file_id?: string; + + /** + * The tools to add this file to. + */ + tools?: Array; + } + } + + /** + * A set of resources that are made available to the assistant's tools in this + * thread. The resources are specific to the type of tool. For example, the + * `code_interpreter` tool requires a list of file IDs, while the `file_search` + * tool requires a list of vector store IDs. + */ + export interface ToolResources { + code_interpreter?: ToolResources.CodeInterpreter; + + file_search?: ToolResources.FileSearch; + } + + export namespace ToolResources { + export interface CodeInterpreter { + /** + * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made + * available to the `code_interpreter` tool. There can be a maximum of 20 files + * associated with the tool. + */ + file_ids?: Array; + } + + export interface FileSearch { + /** + * The + * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) + * attached to this thread. There can be a maximum of 1 vector store attached to + * the thread. + */ + vector_store_ids?: Array; + + /** + * A helper to create a + * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) + * with file_ids and attach it to this thread. There can be a maximum of 1 vector + * store attached to the thread. + */ + vector_stores?: Array; + } + + export namespace FileSearch { + export interface VectorStore { + /** + * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs to + * add to the vector store. There can be a maximum of 10000 files in a vector + * store. + */ + file_ids?: Array; + + /** + * Set of 16 key-value pairs that can be attached to a vector store. This can be + * useful for storing additional information about the vector store in a structured + * format. Keys can be a maximum of 64 characters long and values can be a maxium + * of 512 characters long. + */ + metadata?: unknown; + } + } + } + } + + /** + * A set of resources that are used by the assistant's tools. The resources are + * specific to the type of tool. For example, the `code_interpreter` tool requires + * a list of file IDs, while the `file_search` tool requires a list of vector store + * IDs. + */ + export interface ToolResources { + code_interpreter?: ToolResources.CodeInterpreter; + + file_search?: ToolResources.FileSearch; + } + + export namespace ToolResources { + export interface CodeInterpreter { + /** + * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made + * available to the `code_interpreter` tool. There can be a maximum of 20 files + * associated with the tool. + */ + file_ids?: Array; + } + + export interface FileSearch { + /** + * The ID of the + * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) + * attached to this assistant. There can be a maximum of 1 vector store attached to + * the assistant. + */ + vector_store_ids?: Array; + } + } + + /** + * Controls for how a thread will be truncated prior to the run. Use this to + * control the intial context window of the run. + */ + export interface TruncationStrategy { + /** + * The truncation strategy to use for the thread. The default is `auto`. If set to + * `last_messages`, the thread will be truncated to the n most recent messages in + * the thread. When set to `auto`, messages in the middle of the thread will be + * dropped to fit the context length of the model, `max_prompt_tokens`. + */ + type: 'auto' | 'last_messages'; + + /** + * The number of most recent messages from the thread when constructing the context + * for the run. + */ + last_messages?: number | null; + } +} + +Threads.Runs = Runs; +Threads.RunsPage = RunsPage; +Threads.Messages = Messages; +Threads.MessagesPage = MessagesPage; + +export declare namespace Threads { + export { + type AssistantResponseFormatOption as AssistantResponseFormatOption, + type AssistantToolChoice as AssistantToolChoice, + type AssistantToolChoiceFunction as AssistantToolChoiceFunction, + type AssistantToolChoiceOption as AssistantToolChoiceOption, + type Thread as Thread, + type ThreadDeleted as ThreadDeleted, + type ThreadCreateParams as ThreadCreateParams, + type ThreadUpdateParams as ThreadUpdateParams, + type ThreadCreateAndRunParams as ThreadCreateAndRunParams, + type ThreadCreateAndRunParamsNonStreaming as ThreadCreateAndRunParamsNonStreaming, + type ThreadCreateAndRunParamsStreaming as ThreadCreateAndRunParamsStreaming, + type ThreadCreateAndRunPollParams, + type ThreadCreateAndRunStreamParams, + }; + + export { + Runs as Runs, + type RequiredActionFunctionToolCall as RequiredActionFunctionToolCall, + type Run as Run, + type RunStatus as RunStatus, + RunsPage as RunsPage, + type RunCreateParams as RunCreateParams, + type RunCreateParamsNonStreaming as RunCreateParamsNonStreaming, + type RunCreateParamsStreaming as RunCreateParamsStreaming, + type RunUpdateParams as RunUpdateParams, + type RunListParams as RunListParams, + type RunCreateAndPollParams, + type RunCreateAndStreamParams, + type RunStreamParams, + type RunSubmitToolOutputsParams as RunSubmitToolOutputsParams, + type RunSubmitToolOutputsParamsNonStreaming as RunSubmitToolOutputsParamsNonStreaming, + type RunSubmitToolOutputsParamsStreaming as RunSubmitToolOutputsParamsStreaming, + type RunSubmitToolOutputsAndPollParams, + type RunSubmitToolOutputsStreamParams, + }; + + export { + Messages as Messages, + type Annotation as Annotation, + type AnnotationDelta as AnnotationDelta, + type FileCitationAnnotation as FileCitationAnnotation, + type FileCitationDeltaAnnotation as FileCitationDeltaAnnotation, + type FilePathAnnotation as FilePathAnnotation, + type FilePathDeltaAnnotation as FilePathDeltaAnnotation, + type ImageFile as ImageFile, + type ImageFileContentBlock as ImageFileContentBlock, + type ImageFileDelta as ImageFileDelta, + type ImageFileDeltaBlock as ImageFileDeltaBlock, + type ImageURL as ImageURL, + type ImageURLContentBlock as ImageURLContentBlock, + type ImageURLDelta as ImageURLDelta, + type ImageURLDeltaBlock as ImageURLDeltaBlock, + type MessagesAPIMessage as Message, + type MessageContent as MessageContent, + type MessageContentDelta as MessageContentDelta, + type MessageContentPartParam as MessageContentPartParam, + type MessageDeleted as MessageDeleted, + type MessageDelta as MessageDelta, + type MessageDeltaEvent as MessageDeltaEvent, + type RefusalContentBlock as RefusalContentBlock, + type RefusalDeltaBlock as RefusalDeltaBlock, + type Text as Text, + type TextContentBlock as TextContentBlock, + type TextContentBlockParam as TextContentBlockParam, + type TextDelta as TextDelta, + type TextDeltaBlock as TextDeltaBlock, + MessagesPage as MessagesPage, + type MessageCreateParams as MessageCreateParams, + type MessageUpdateParams as MessageUpdateParams, + type MessageListParams as MessageListParams, + }; + + export { AssistantStream }; +} diff --git a/src/resources/chat/chat.ts b/src/resources/chat/chat.ts new file mode 100644 index 000000000..9dbc636d8 --- /dev/null +++ b/src/resources/chat/chat.ts @@ -0,0 +1,109 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../resource'; +import * as Shared from '../shared'; +import * as CompletionsAPI from './completions/completions'; +import { + ChatCompletion, + ChatCompletionAssistantMessageParam, + ChatCompletionAudio, + ChatCompletionAudioParam, + ChatCompletionChunk, + ChatCompletionContentPart, + ChatCompletionContentPartImage, + ChatCompletionContentPartInputAudio, + ChatCompletionContentPartRefusal, + ChatCompletionContentPartText, + ChatCompletionCreateParams, + ChatCompletionCreateParamsNonStreaming, + ChatCompletionCreateParamsStreaming, + ChatCompletionDeleted, + ChatCompletionDeveloperMessageParam, + ChatCompletionFunctionCallOption, + ChatCompletionFunctionMessageParam, + ChatCompletionListParams, + ChatCompletionMessage, + ChatCompletionMessageParam, + ChatCompletionMessageToolCall, + ChatCompletionModality, + ChatCompletionNamedToolChoice, + ChatCompletionPredictionContent, + ChatCompletionReasoningEffort, + ChatCompletionRole, + ChatCompletionStoreMessage, + ChatCompletionStreamOptions, + ChatCompletionSystemMessageParam, + ChatCompletionTokenLogprob, + ChatCompletionTool, + ChatCompletionToolChoiceOption, + ChatCompletionToolMessageParam, + ChatCompletionUpdateParams, + ChatCompletionUserMessageParam, + ChatCompletionsPage, + CompletionCreateParams, + CompletionCreateParamsNonStreaming, + CompletionCreateParamsStreaming, + CompletionListParams, + CompletionUpdateParams, + Completions, + CreateChatCompletionRequestMessage, +} from './completions/completions'; + +export class Chat extends APIResource { + completions: CompletionsAPI.Completions = new CompletionsAPI.Completions(this._client); +} + +export type ChatModel = Shared.ChatModel; + +Chat.Completions = Completions; +Chat.ChatCompletionsPage = ChatCompletionsPage; + +export declare namespace Chat { + export { type ChatModel as ChatModel }; + + export { + Completions as Completions, + type ChatCompletion as ChatCompletion, + type ChatCompletionAssistantMessageParam as ChatCompletionAssistantMessageParam, + type ChatCompletionAudio as ChatCompletionAudio, + type ChatCompletionAudioParam as ChatCompletionAudioParam, + type ChatCompletionChunk as ChatCompletionChunk, + type ChatCompletionContentPart as ChatCompletionContentPart, + type ChatCompletionContentPartImage as ChatCompletionContentPartImage, + type ChatCompletionContentPartInputAudio as ChatCompletionContentPartInputAudio, + type ChatCompletionContentPartRefusal as ChatCompletionContentPartRefusal, + type ChatCompletionContentPartText as ChatCompletionContentPartText, + type ChatCompletionDeleted as ChatCompletionDeleted, + type ChatCompletionDeveloperMessageParam as ChatCompletionDeveloperMessageParam, + type ChatCompletionFunctionCallOption as ChatCompletionFunctionCallOption, + type ChatCompletionFunctionMessageParam as ChatCompletionFunctionMessageParam, + type ChatCompletionMessage as ChatCompletionMessage, + type ChatCompletionMessageParam as ChatCompletionMessageParam, + type ChatCompletionMessageToolCall as ChatCompletionMessageToolCall, + type ChatCompletionModality as ChatCompletionModality, + type ChatCompletionNamedToolChoice as ChatCompletionNamedToolChoice, + type ChatCompletionPredictionContent as ChatCompletionPredictionContent, + type ChatCompletionRole as ChatCompletionRole, + type ChatCompletionStoreMessage as ChatCompletionStoreMessage, + type ChatCompletionStreamOptions as ChatCompletionStreamOptions, + type ChatCompletionSystemMessageParam as ChatCompletionSystemMessageParam, + type ChatCompletionTokenLogprob as ChatCompletionTokenLogprob, + type ChatCompletionTool as ChatCompletionTool, + type ChatCompletionToolChoiceOption as ChatCompletionToolChoiceOption, + type ChatCompletionToolMessageParam as ChatCompletionToolMessageParam, + type ChatCompletionUserMessageParam as ChatCompletionUserMessageParam, + type CreateChatCompletionRequestMessage as CreateChatCompletionRequestMessage, + type ChatCompletionReasoningEffort as ChatCompletionReasoningEffort, + ChatCompletionsPage as ChatCompletionsPage, + type ChatCompletionCreateParams as ChatCompletionCreateParams, + type CompletionCreateParams as CompletionCreateParams, + type ChatCompletionCreateParamsNonStreaming as ChatCompletionCreateParamsNonStreaming, + type CompletionCreateParamsNonStreaming as CompletionCreateParamsNonStreaming, + type ChatCompletionCreateParamsStreaming as ChatCompletionCreateParamsStreaming, + type CompletionCreateParamsStreaming as CompletionCreateParamsStreaming, + type ChatCompletionUpdateParams as ChatCompletionUpdateParams, + type CompletionUpdateParams as CompletionUpdateParams, + type ChatCompletionListParams as ChatCompletionListParams, + type CompletionListParams as CompletionListParams, + }; +} diff --git a/src/resources/chat/completions.ts b/src/resources/chat/completions.ts new file mode 100644 index 000000000..55b151e8b --- /dev/null +++ b/src/resources/chat/completions.ts @@ -0,0 +1 @@ +export * from './completions/completions'; diff --git a/src/resources/chat/completions/completions.ts b/src/resources/chat/completions/completions.ts new file mode 100644 index 000000000..6481f8e0f --- /dev/null +++ b/src/resources/chat/completions/completions.ts @@ -0,0 +1,1704 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../../resource'; +import { isRequestOptions } from '../../../core'; +import { APIPromise } from '../../../core'; +import * as Core from '../../../core'; +import * as CompletionsCompletionsAPI from './completions'; +import * as CompletionsAPI from '../../completions'; +import * as Shared from '../../shared'; +import * as MessagesAPI from './messages'; +import { MessageListParams, Messages } from './messages'; +import { CursorPage, type CursorPageParams } from '../../../pagination'; +import { Stream } from '../../../streaming'; + +export class Completions extends APIResource { + messages: MessagesAPI.Messages = new MessagesAPI.Messages(this._client); + + /** + * **Starting a new project?** We recommend trying + * [Responses](https://platform.openai.com/docs/api-reference/responses) to take + * advantage of the latest OpenAI platform features. Compare + * [Chat Completions with Responses](https://platform.openai.com/docs/guides/responses-vs-chat-completions?api-mode=responses). + * + * --- + * + * Creates a model response for the given chat conversation. Learn more in the + * [text generation](https://platform.openai.com/docs/guides/text-generation), + * [vision](https://platform.openai.com/docs/guides/vision), and + * [audio](https://platform.openai.com/docs/guides/audio) guides. + * + * Parameter support can differ depending on the model used to generate the + * response, particularly for newer reasoning models. Parameters that are only + * supported for reasoning models are noted below. For the current state of + * unsupported parameters in reasoning models, + * [refer to the reasoning guide](https://platform.openai.com/docs/guides/reasoning). + * + * @example + * ```ts + * const chatCompletion = await client.chat.completions.create( + * { + * messages: [{ content: 'string', role: 'developer' }], + * model: 'gpt-4o', + * }, + * ); + * ``` + */ + create( + body: ChatCompletionCreateParamsNonStreaming, + options?: Core.RequestOptions, + ): APIPromise; + create( + body: ChatCompletionCreateParamsStreaming, + options?: Core.RequestOptions, + ): APIPromise>; + create( + body: ChatCompletionCreateParamsBase, + options?: Core.RequestOptions, + ): APIPromise | ChatCompletion>; + create( + body: ChatCompletionCreateParams, + options?: Core.RequestOptions, + ): APIPromise | APIPromise> { + return this._client.post('/chat/completions', { body, ...options, stream: body.stream ?? false }) as + | APIPromise + | APIPromise>; + } + + /** + * Get a stored chat completion. Only Chat Completions that have been created with + * the `store` parameter set to `true` will be returned. + * + * @example + * ```ts + * const chatCompletion = + * await client.chat.completions.retrieve('completion_id'); + * ``` + */ + retrieve(completionId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.get(`/chat/completions/${completionId}`, options); + } + + /** + * Modify a stored chat completion. Only Chat Completions that have been created + * with the `store` parameter set to `true` can be modified. Currently, the only + * supported modification is to update the `metadata` field. + * + * @example + * ```ts + * const chatCompletion = await client.chat.completions.update( + * 'completion_id', + * { metadata: { foo: 'string' } }, + * ); + * ``` + */ + update( + completionId: string, + body: ChatCompletionUpdateParams, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this._client.post(`/chat/completions/${completionId}`, { body, ...options }); + } + + /** + * List stored Chat Completions. Only Chat Completions that have been stored with + * the `store` parameter set to `true` will be returned. + * + * @example + * ```ts + * // Automatically fetches more pages as needed. + * for await (const chatCompletion of client.chat.completions.list()) { + * // ... + * } + * ``` + */ + list( + query?: ChatCompletionListParams, + options?: Core.RequestOptions, + ): Core.PagePromise; + list(options?: Core.RequestOptions): Core.PagePromise; + list( + query: ChatCompletionListParams | Core.RequestOptions = {}, + options?: Core.RequestOptions, + ): Core.PagePromise { + if (isRequestOptions(query)) { + return this.list({}, query); + } + return this._client.getAPIList('/chat/completions', ChatCompletionsPage, { query, ...options }); + } + + /** + * Delete a stored chat completion. Only Chat Completions that have been created + * with the `store` parameter set to `true` can be deleted. + * + * @example + * ```ts + * const chatCompletionDeleted = + * await client.chat.completions.del('completion_id'); + * ``` + */ + del(completionId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.delete(`/chat/completions/${completionId}`, options); + } +} + +export class ChatCompletionsPage extends CursorPage {} + +export class ChatCompletionStoreMessagesPage extends CursorPage {} + +/** + * Represents a chat completion response returned by model, based on the provided + * input. + */ +export interface ChatCompletion { + /** + * A unique identifier for the chat completion. + */ + id: string; + + /** + * A list of chat completion choices. Can be more than one if `n` is greater + * than 1. + */ + choices: Array; + + /** + * The Unix timestamp (in seconds) of when the chat completion was created. + */ + created: number; + + /** + * The model used for the chat completion. + */ + model: string; + + /** + * The object type, which is always `chat.completion`. + */ + object: 'chat.completion'; + + /** + * Specifies the latency tier to use for processing the request. This parameter is + * relevant for customers subscribed to the scale tier service: + * + * - If set to 'auto', and the Project is Scale tier enabled, the system will + * utilize scale tier credits until they are exhausted. + * - If set to 'auto', and the Project is not Scale tier enabled, the request will + * be processed using the default service tier with a lower uptime SLA and no + * latency guarentee. + * - If set to 'default', the request will be processed using the default service + * tier with a lower uptime SLA and no latency guarentee. + * - If set to 'flex', the request will be processed with the Flex Processing + * service tier. + * [Learn more](https://platform.openai.com/docs/guides/flex-processing). + * - When not set, the default behavior is 'auto'. + * + * When this parameter is set, the response body will include the `service_tier` + * utilized. + */ + service_tier?: 'auto' | 'default' | 'flex' | null; + + /** + * This fingerprint represents the backend configuration that the model runs with. + * + * Can be used in conjunction with the `seed` request parameter to understand when + * backend changes have been made that might impact determinism. + */ + system_fingerprint?: string; + + /** + * Usage statistics for the completion request. + */ + usage?: CompletionsAPI.CompletionUsage; +} + +export namespace ChatCompletion { + export interface Choice { + /** + * The reason the model stopped generating tokens. This will be `stop` if the model + * hit a natural stop point or a provided stop sequence, `length` if the maximum + * number of tokens specified in the request was reached, `content_filter` if + * content was omitted due to a flag from our content filters, `tool_calls` if the + * model called a tool, or `function_call` (deprecated) if the model called a + * function. + */ + finish_reason: 'stop' | 'length' | 'tool_calls' | 'content_filter' | 'function_call'; + + /** + * The index of the choice in the list of choices. + */ + index: number; + + /** + * Log probability information for the choice. + */ + logprobs: Choice.Logprobs | null; + + /** + * A chat completion message generated by the model. + */ + message: CompletionsCompletionsAPI.ChatCompletionMessage; + } + + export namespace Choice { + /** + * Log probability information for the choice. + */ + export interface Logprobs { + /** + * A list of message content tokens with log probability information. + */ + content: Array | null; + + /** + * A list of message refusal tokens with log probability information. + */ + refusal: Array | null; + } + } +} + +/** + * Messages sent by the model in response to user messages. + */ +export interface ChatCompletionAssistantMessageParam { + /** + * The role of the messages author, in this case `assistant`. + */ + role: 'assistant'; + + /** + * Data about a previous audio response from the model. + * [Learn more](https://platform.openai.com/docs/guides/audio). + */ + audio?: ChatCompletionAssistantMessageParam.Audio | null; + + /** + * The contents of the assistant message. Required unless `tool_calls` or + * `function_call` is specified. + */ + content?: string | Array | null; + + /** + * @deprecated Deprecated and replaced by `tool_calls`. The name and arguments of a + * function that should be called, as generated by the model. + */ + function_call?: ChatCompletionAssistantMessageParam.FunctionCall | null; + + /** + * An optional name for the participant. Provides the model information to + * differentiate between participants of the same role. + */ + name?: string; + + /** + * The refusal message by the assistant. + */ + refusal?: string | null; + + /** + * The tool calls generated by the model, such as function calls. + */ + tool_calls?: Array; +} + +export namespace ChatCompletionAssistantMessageParam { + /** + * Data about a previous audio response from the model. + * [Learn more](https://platform.openai.com/docs/guides/audio). + */ + export interface Audio { + /** + * Unique identifier for a previous audio response from the model. + */ + id: string; + } + + /** + * @deprecated Deprecated and replaced by `tool_calls`. The name and arguments of a + * function that should be called, as generated by the model. + */ + export interface FunctionCall { + /** + * The arguments to call the function with, as generated by the model in JSON + * format. Note that the model does not always generate valid JSON, and may + * hallucinate parameters not defined by your function schema. Validate the + * arguments in your code before calling your function. + */ + arguments: string; + + /** + * The name of the function to call. + */ + name: string; + } +} + +/** + * If the audio output modality is requested, this object contains data about the + * audio response from the model. + * [Learn more](https://platform.openai.com/docs/guides/audio). + */ +export interface ChatCompletionAudio { + /** + * Unique identifier for this audio response. + */ + id: string; + + /** + * Base64 encoded audio bytes generated by the model, in the format specified in + * the request. + */ + data: string; + + /** + * The Unix timestamp (in seconds) for when this audio response will no longer be + * accessible on the server for use in multi-turn conversations. + */ + expires_at: number; + + /** + * Transcript of the audio generated by the model. + */ + transcript: string; +} + +/** + * Parameters for audio output. Required when audio output is requested with + * `modalities: ["audio"]`. + * [Learn more](https://platform.openai.com/docs/guides/audio). + */ +export interface ChatCompletionAudioParam { + /** + * Specifies the output audio format. Must be one of `wav`, `mp3`, `flac`, `opus`, + * or `pcm16`. + */ + format: 'wav' | 'aac' | 'mp3' | 'flac' | 'opus' | 'pcm16'; + + /** + * The voice the model uses to respond. Supported voices are `alloy`, `ash`, + * `ballad`, `coral`, `echo`, `fable`, `nova`, `onyx`, `sage`, and `shimmer`. + */ + voice: + | (string & {}) + | 'alloy' + | 'ash' + | 'ballad' + | 'coral' + | 'echo' + | 'fable' + | 'onyx' + | 'nova' + | 'sage' + | 'shimmer' + | 'verse'; +} + +/** + * Represents a streamed chunk of a chat completion response returned by the model, + * based on the provided input. + * [Learn more](https://platform.openai.com/docs/guides/streaming-responses). + */ +export interface ChatCompletionChunk { + /** + * A unique identifier for the chat completion. Each chunk has the same ID. + */ + id: string; + + /** + * A list of chat completion choices. Can contain more than one elements if `n` is + * greater than 1. Can also be empty for the last chunk if you set + * `stream_options: {"include_usage": true}`. + */ + choices: Array; + + /** + * The Unix timestamp (in seconds) of when the chat completion was created. Each + * chunk has the same timestamp. + */ + created: number; + + /** + * The model to generate the completion. + */ + model: string; + + /** + * The object type, which is always `chat.completion.chunk`. + */ + object: 'chat.completion.chunk'; + + /** + * Specifies the latency tier to use for processing the request. This parameter is + * relevant for customers subscribed to the scale tier service: + * + * - If set to 'auto', and the Project is Scale tier enabled, the system will + * utilize scale tier credits until they are exhausted. + * - If set to 'auto', and the Project is not Scale tier enabled, the request will + * be processed using the default service tier with a lower uptime SLA and no + * latency guarentee. + * - If set to 'default', the request will be processed using the default service + * tier with a lower uptime SLA and no latency guarentee. + * - If set to 'flex', the request will be processed with the Flex Processing + * service tier. + * [Learn more](https://platform.openai.com/docs/guides/flex-processing). + * - When not set, the default behavior is 'auto'. + * + * When this parameter is set, the response body will include the `service_tier` + * utilized. + */ + service_tier?: 'auto' | 'default' | 'flex' | null; + + /** + * This fingerprint represents the backend configuration that the model runs with. + * Can be used in conjunction with the `seed` request parameter to understand when + * backend changes have been made that might impact determinism. + */ + system_fingerprint?: string; + + /** + * An optional field that will only be present when you set + * `stream_options: {"include_usage": true}` in your request. When present, it + * contains a null value **except for the last chunk** which contains the token + * usage statistics for the entire request. + * + * **NOTE:** If the stream is interrupted or cancelled, you may not receive the + * final usage chunk which contains the total token usage for the request. + */ + usage?: CompletionsAPI.CompletionUsage | null; +} + +export namespace ChatCompletionChunk { + export interface Choice { + /** + * A chat completion delta generated by streamed model responses. + */ + delta: Choice.Delta; + + /** + * The reason the model stopped generating tokens. This will be `stop` if the model + * hit a natural stop point or a provided stop sequence, `length` if the maximum + * number of tokens specified in the request was reached, `content_filter` if + * content was omitted due to a flag from our content filters, `tool_calls` if the + * model called a tool, or `function_call` (deprecated) if the model called a + * function. + */ + finish_reason: 'stop' | 'length' | 'tool_calls' | 'content_filter' | 'function_call' | null; + + /** + * The index of the choice in the list of choices. + */ + index: number; + + /** + * Log probability information for the choice. + */ + logprobs?: Choice.Logprobs | null; + } + + export namespace Choice { + /** + * A chat completion delta generated by streamed model responses. + */ + export interface Delta { + /** + * The contents of the chunk message. + */ + content?: string | null; + + /** + * @deprecated Deprecated and replaced by `tool_calls`. The name and arguments of a + * function that should be called, as generated by the model. + */ + function_call?: Delta.FunctionCall; + + /** + * The refusal message generated by the model. + */ + refusal?: string | null; + + /** + * The role of the author of this message. + */ + role?: 'developer' | 'system' | 'user' | 'assistant' | 'tool'; + + tool_calls?: Array; + } + + export namespace Delta { + /** + * @deprecated Deprecated and replaced by `tool_calls`. The name and arguments of a + * function that should be called, as generated by the model. + */ + export interface FunctionCall { + /** + * The arguments to call the function with, as generated by the model in JSON + * format. Note that the model does not always generate valid JSON, and may + * hallucinate parameters not defined by your function schema. Validate the + * arguments in your code before calling your function. + */ + arguments?: string; + + /** + * The name of the function to call. + */ + name?: string; + } + + export interface ToolCall { + index: number; + + /** + * The ID of the tool call. + */ + id?: string; + + function?: ToolCall.Function; + + /** + * The type of the tool. Currently, only `function` is supported. + */ + type?: 'function'; + } + + export namespace ToolCall { + export interface Function { + /** + * The arguments to call the function with, as generated by the model in JSON + * format. Note that the model does not always generate valid JSON, and may + * hallucinate parameters not defined by your function schema. Validate the + * arguments in your code before calling your function. + */ + arguments?: string; + + /** + * The name of the function to call. + */ + name?: string; + } + } + } + + /** + * Log probability information for the choice. + */ + export interface Logprobs { + /** + * A list of message content tokens with log probability information. + */ + content: Array | null; + + /** + * A list of message refusal tokens with log probability information. + */ + refusal: Array | null; + } + } +} + +/** + * Learn about + * [text inputs](https://platform.openai.com/docs/guides/text-generation). + */ +export type ChatCompletionContentPart = + | ChatCompletionContentPartText + | ChatCompletionContentPartImage + | ChatCompletionContentPartInputAudio + | ChatCompletionContentPart.File; + +export namespace ChatCompletionContentPart { + /** + * Learn about [file inputs](https://platform.openai.com/docs/guides/text) for text + * generation. + */ + export interface File { + file: File.File; + + /** + * The type of the content part. Always `file`. + */ + type: 'file'; + } + + export namespace File { + export interface File { + /** + * The base64 encoded file data, used when passing the file to the model as a + * string. + */ + file_data?: string; + + /** + * The ID of an uploaded file to use as input. + */ + file_id?: string; + + /** + * The name of the file, used when passing the file to the model as a string. + */ + filename?: string; + } + } +} + +/** + * Learn about [image inputs](https://platform.openai.com/docs/guides/vision). + */ +export interface ChatCompletionContentPartImage { + image_url: ChatCompletionContentPartImage.ImageURL; + + /** + * The type of the content part. + */ + type: 'image_url'; +} + +export namespace ChatCompletionContentPartImage { + export interface ImageURL { + /** + * Either a URL of the image or the base64 encoded image data. + */ + url: string; + + /** + * Specifies the detail level of the image. Learn more in the + * [Vision guide](https://platform.openai.com/docs/guides/vision#low-or-high-fidelity-image-understanding). + */ + detail?: 'auto' | 'low' | 'high'; + } +} + +/** + * Learn about [audio inputs](https://platform.openai.com/docs/guides/audio). + */ +export interface ChatCompletionContentPartInputAudio { + input_audio: ChatCompletionContentPartInputAudio.InputAudio; + + /** + * The type of the content part. Always `input_audio`. + */ + type: 'input_audio'; +} + +export namespace ChatCompletionContentPartInputAudio { + export interface InputAudio { + /** + * Base64 encoded audio data. + */ + data: string; + + /** + * The format of the encoded audio data. Currently supports "wav" and "mp3". + */ + format: 'wav' | 'mp3'; + } +} + +export interface ChatCompletionContentPartRefusal { + /** + * The refusal message generated by the model. + */ + refusal: string; + + /** + * The type of the content part. + */ + type: 'refusal'; +} + +/** + * Learn about + * [text inputs](https://platform.openai.com/docs/guides/text-generation). + */ +export interface ChatCompletionContentPartText { + /** + * The text content. + */ + text: string; + + /** + * The type of the content part. + */ + type: 'text'; +} + +export interface ChatCompletionDeleted { + /** + * The ID of the chat completion that was deleted. + */ + id: string; + + /** + * Whether the chat completion was deleted. + */ + deleted: boolean; + + /** + * The type of object being deleted. + */ + object: 'chat.completion.deleted'; +} + +/** + * Developer-provided instructions that the model should follow, regardless of + * messages sent by the user. With o1 models and newer, `developer` messages + * replace the previous `system` messages. + */ +export interface ChatCompletionDeveloperMessageParam { + /** + * The contents of the developer message. + */ + content: string | Array; + + /** + * The role of the messages author, in this case `developer`. + */ + role: 'developer'; + + /** + * An optional name for the participant. Provides the model information to + * differentiate between participants of the same role. + */ + name?: string; +} + +/** + * Specifying a particular function via `{"name": "my_function"}` forces the model + * to call that function. + */ +export interface ChatCompletionFunctionCallOption { + /** + * The name of the function to call. + */ + name: string; +} + +/** + * @deprecated + */ +export interface ChatCompletionFunctionMessageParam { + /** + * The contents of the function message. + */ + content: string | null; + + /** + * The name of the function to call. + */ + name: string; + + /** + * The role of the messages author, in this case `function`. + */ + role: 'function'; +} + +/** + * A chat completion message generated by the model. + */ +export interface ChatCompletionMessage { + /** + * The contents of the message. + */ + content: string | null; + + /** + * The refusal message generated by the model. + */ + refusal: string | null; + + /** + * The role of the author of this message. + */ + role: 'assistant'; + + /** + * Annotations for the message, when applicable, as when using the + * [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat). + */ + annotations?: Array; + + /** + * If the audio output modality is requested, this object contains data about the + * audio response from the model. + * [Learn more](https://platform.openai.com/docs/guides/audio). + */ + audio?: ChatCompletionAudio | null; + + /** + * @deprecated Deprecated and replaced by `tool_calls`. The name and arguments of a + * function that should be called, as generated by the model. + */ + function_call?: ChatCompletionMessage.FunctionCall | null; + + /** + * The tool calls generated by the model, such as function calls. + */ + tool_calls?: Array; +} + +export namespace ChatCompletionMessage { + /** + * A URL citation when using web search. + */ + export interface Annotation { + /** + * The type of the URL citation. Always `url_citation`. + */ + type: 'url_citation'; + + /** + * A URL citation when using web search. + */ + url_citation: Annotation.URLCitation; + } + + export namespace Annotation { + /** + * A URL citation when using web search. + */ + export interface URLCitation { + /** + * The index of the last character of the URL citation in the message. + */ + end_index: number; + + /** + * The index of the first character of the URL citation in the message. + */ + start_index: number; + + /** + * The title of the web resource. + */ + title: string; + + /** + * The URL of the web resource. + */ + url: string; + } + } + + /** + * @deprecated Deprecated and replaced by `tool_calls`. The name and arguments of a + * function that should be called, as generated by the model. + */ + export interface FunctionCall { + /** + * The arguments to call the function with, as generated by the model in JSON + * format. Note that the model does not always generate valid JSON, and may + * hallucinate parameters not defined by your function schema. Validate the + * arguments in your code before calling your function. + */ + arguments: string; + + /** + * The name of the function to call. + */ + name: string; + } +} + +/** + * Developer-provided instructions that the model should follow, regardless of + * messages sent by the user. With o1 models and newer, `developer` messages + * replace the previous `system` messages. + */ +export type ChatCompletionMessageParam = + | ChatCompletionDeveloperMessageParam + | ChatCompletionSystemMessageParam + | ChatCompletionUserMessageParam + | ChatCompletionAssistantMessageParam + | ChatCompletionToolMessageParam + | ChatCompletionFunctionMessageParam; + +export interface ChatCompletionMessageToolCall { + /** + * The ID of the tool call. + */ + id: string; + + /** + * The function that the model called. + */ + function: ChatCompletionMessageToolCall.Function; + + /** + * The type of the tool. Currently, only `function` is supported. + */ + type: 'function'; +} + +export namespace ChatCompletionMessageToolCall { + /** + * The function that the model called. + */ + export interface Function { + /** + * The arguments to call the function with, as generated by the model in JSON + * format. Note that the model does not always generate valid JSON, and may + * hallucinate parameters not defined by your function schema. Validate the + * arguments in your code before calling your function. + */ + arguments: string; + + /** + * The name of the function to call. + */ + name: string; + } +} + +export type ChatCompletionModality = 'text' | 'audio'; + +/** + * Specifies a tool the model should use. Use to force the model to call a specific + * function. + */ +export interface ChatCompletionNamedToolChoice { + function: ChatCompletionNamedToolChoice.Function; + + /** + * The type of the tool. Currently, only `function` is supported. + */ + type: 'function'; +} + +export namespace ChatCompletionNamedToolChoice { + export interface Function { + /** + * The name of the function to call. + */ + name: string; + } +} + +/** + * Static predicted output content, such as the content of a text file that is + * being regenerated. + */ +export interface ChatCompletionPredictionContent { + /** + * The content that should be matched when generating a model response. If + * generated tokens would match this content, the entire model response can be + * returned much more quickly. + */ + content: string | Array; + + /** + * The type of the predicted content you want to provide. This type is currently + * always `content`. + */ + type: 'content'; +} + +/** + * The role of the author of a message + */ +export type ChatCompletionRole = 'developer' | 'system' | 'user' | 'assistant' | 'tool' | 'function'; + +/** + * A chat completion message generated by the model. + */ +export interface ChatCompletionStoreMessage extends ChatCompletionMessage { + /** + * The identifier of the chat message. + */ + id: string; +} + +/** + * Options for streaming response. Only set this when you set `stream: true`. + */ +export interface ChatCompletionStreamOptions { + /** + * If set, an additional chunk will be streamed before the `data: [DONE]` message. + * The `usage` field on this chunk shows the token usage statistics for the entire + * request, and the `choices` field will always be an empty array. + * + * All other chunks will also include a `usage` field, but with a null value. + * **NOTE:** If the stream is interrupted, you may not receive the final usage + * chunk which contains the total token usage for the request. + */ + include_usage?: boolean; +} + +/** + * Developer-provided instructions that the model should follow, regardless of + * messages sent by the user. With o1 models and newer, use `developer` messages + * for this purpose instead. + */ +export interface ChatCompletionSystemMessageParam { + /** + * The contents of the system message. + */ + content: string | Array; + + /** + * The role of the messages author, in this case `system`. + */ + role: 'system'; + + /** + * An optional name for the participant. Provides the model information to + * differentiate between participants of the same role. + */ + name?: string; +} + +export interface ChatCompletionTokenLogprob { + /** + * The token. + */ + token: string; + + /** + * A list of integers representing the UTF-8 bytes representation of the token. + * Useful in instances where characters are represented by multiple tokens and + * their byte representations must be combined to generate the correct text + * representation. Can be `null` if there is no bytes representation for the token. + */ + bytes: Array | null; + + /** + * The log probability of this token, if it is within the top 20 most likely + * tokens. Otherwise, the value `-9999.0` is used to signify that the token is very + * unlikely. + */ + logprob: number; + + /** + * List of the most likely tokens and their log probability, at this token + * position. In rare cases, there may be fewer than the number of requested + * `top_logprobs` returned. + */ + top_logprobs: Array; +} + +export namespace ChatCompletionTokenLogprob { + export interface TopLogprob { + /** + * The token. + */ + token: string; + + /** + * A list of integers representing the UTF-8 bytes representation of the token. + * Useful in instances where characters are represented by multiple tokens and + * their byte representations must be combined to generate the correct text + * representation. Can be `null` if there is no bytes representation for the token. + */ + bytes: Array | null; + + /** + * The log probability of this token, if it is within the top 20 most likely + * tokens. Otherwise, the value `-9999.0` is used to signify that the token is very + * unlikely. + */ + logprob: number; + } +} + +export interface ChatCompletionTool { + function: Shared.FunctionDefinition; + + /** + * The type of the tool. Currently, only `function` is supported. + */ + type: 'function'; +} + +/** + * Controls which (if any) tool is called by the model. `none` means the model will + * not call any tool and instead generates a message. `auto` means the model can + * pick between generating a message or calling one or more tools. `required` means + * the model must call one or more tools. Specifying a particular tool via + * `{"type": "function", "function": {"name": "my_function"}}` forces the model to + * call that tool. + * + * `none` is the default when no tools are present. `auto` is the default if tools + * are present. + */ +export type ChatCompletionToolChoiceOption = 'none' | 'auto' | 'required' | ChatCompletionNamedToolChoice; + +export interface ChatCompletionToolMessageParam { + /** + * The contents of the tool message. + */ + content: string | Array; + + /** + * The role of the messages author, in this case `tool`. + */ + role: 'tool'; + + /** + * Tool call that this message is responding to. + */ + tool_call_id: string; +} + +/** + * Messages sent by an end user, containing prompts or additional context + * information. + */ +export interface ChatCompletionUserMessageParam { + /** + * The contents of the user message. + */ + content: string | Array; + + /** + * The role of the messages author, in this case `user`. + */ + role: 'user'; + + /** + * An optional name for the participant. Provides the model information to + * differentiate between participants of the same role. + */ + name?: string; +} + +/** + * @deprecated ChatCompletionMessageParam should be used instead + */ +export type CreateChatCompletionRequestMessage = ChatCompletionMessageParam; + +export type ChatCompletionReasoningEffort = Shared.ReasoningEffort | null; + +export type ChatCompletionCreateParams = + | ChatCompletionCreateParamsNonStreaming + | ChatCompletionCreateParamsStreaming; + +export interface ChatCompletionCreateParamsBase { + /** + * A list of messages comprising the conversation so far. Depending on the + * [model](https://platform.openai.com/docs/models) you use, different message + * types (modalities) are supported, like + * [text](https://platform.openai.com/docs/guides/text-generation), + * [images](https://platform.openai.com/docs/guides/vision), and + * [audio](https://platform.openai.com/docs/guides/audio). + */ + messages: Array; + + /** + * Model ID used to generate the response, like `gpt-4o` or `o3`. OpenAI offers a + * wide range of models with different capabilities, performance characteristics, + * and price points. Refer to the + * [model guide](https://platform.openai.com/docs/models) to browse and compare + * available models. + */ + model: (string & {}) | Shared.ChatModel; + + /** + * Parameters for audio output. Required when audio output is requested with + * `modalities: ["audio"]`. + * [Learn more](https://platform.openai.com/docs/guides/audio). + */ + audio?: ChatCompletionAudioParam | null; + + /** + * Number between -2.0 and 2.0. Positive values penalize new tokens based on their + * existing frequency in the text so far, decreasing the model's likelihood to + * repeat the same line verbatim. + */ + frequency_penalty?: number | null; + + /** + * @deprecated Deprecated in favor of `tool_choice`. + * + * Controls which (if any) function is called by the model. + * + * `none` means the model will not call a function and instead generates a message. + * + * `auto` means the model can pick between generating a message or calling a + * function. + * + * Specifying a particular function via `{"name": "my_function"}` forces the model + * to call that function. + * + * `none` is the default when no functions are present. `auto` is the default if + * functions are present. + */ + function_call?: 'none' | 'auto' | ChatCompletionFunctionCallOption; + + /** + * @deprecated Deprecated in favor of `tools`. + * + * A list of functions the model may generate JSON inputs for. + */ + functions?: Array; + + /** + * Modify the likelihood of specified tokens appearing in the completion. + * + * Accepts a JSON object that maps tokens (specified by their token ID in the + * tokenizer) to an associated bias value from -100 to 100. Mathematically, the + * bias is added to the logits generated by the model prior to sampling. The exact + * effect will vary per model, but values between -1 and 1 should decrease or + * increase likelihood of selection; values like -100 or 100 should result in a ban + * or exclusive selection of the relevant token. + */ + logit_bias?: Record | null; + + /** + * Whether to return log probabilities of the output tokens or not. If true, + * returns the log probabilities of each output token returned in the `content` of + * `message`. + */ + logprobs?: boolean | null; + + /** + * An upper bound for the number of tokens that can be generated for a completion, + * including visible output tokens and + * [reasoning tokens](https://platform.openai.com/docs/guides/reasoning). + */ + max_completion_tokens?: number | null; + + /** + * @deprecated The maximum number of [tokens](/tokenizer) that can be generated in + * the chat completion. This value can be used to control + * [costs](https://openai.com/api/pricing/) for text generated via API. + * + * This value is now deprecated in favor of `max_completion_tokens`, and is not + * compatible with + * [o-series models](https://platform.openai.com/docs/guides/reasoning). + */ + max_tokens?: number | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + + /** + * Output types that you would like the model to generate. Most models are capable + * of generating text, which is the default: + * + * `["text"]` + * + * The `gpt-4o-audio-preview` model can also be used to + * [generate audio](https://platform.openai.com/docs/guides/audio). To request that + * this model generate both text and audio responses, you can use: + * + * `["text", "audio"]` + */ + modalities?: Array<'text' | 'audio'> | null; + + /** + * How many chat completion choices to generate for each input message. Note that + * you will be charged based on the number of generated tokens across all of the + * choices. Keep `n` as `1` to minimize costs. + */ + n?: number | null; + + /** + * Whether to enable + * [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) + * during tool use. + */ + parallel_tool_calls?: boolean; + + /** + * Static predicted output content, such as the content of a text file that is + * being regenerated. + */ + prediction?: ChatCompletionPredictionContent | null; + + /** + * Number between -2.0 and 2.0. Positive values penalize new tokens based on + * whether they appear in the text so far, increasing the model's likelihood to + * talk about new topics. + */ + presence_penalty?: number | null; + + /** + * **o-series models only** + * + * Constrains effort on reasoning for + * [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently + * supported values are `low`, `medium`, and `high`. Reducing reasoning effort can + * result in faster responses and fewer tokens used on reasoning in a response. + */ + reasoning_effort?: Shared.ReasoningEffort | null; + + /** + * An object specifying the format that the model must output. + * + * Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured + * Outputs which ensures the model will match your supplied JSON schema. Learn more + * in the + * [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). + * + * Setting to `{ "type": "json_object" }` enables the older JSON mode, which + * ensures the message the model generates is valid JSON. Using `json_schema` is + * preferred for models that support it. + */ + response_format?: + | Shared.ResponseFormatText + | Shared.ResponseFormatJSONSchema + | Shared.ResponseFormatJSONObject; + + /** + * This feature is in Beta. If specified, our system will make a best effort to + * sample deterministically, such that repeated requests with the same `seed` and + * parameters should return the same result. Determinism is not guaranteed, and you + * should refer to the `system_fingerprint` response parameter to monitor changes + * in the backend. + */ + seed?: number | null; + + /** + * Specifies the latency tier to use for processing the request. This parameter is + * relevant for customers subscribed to the scale tier service: + * + * - If set to 'auto', and the Project is Scale tier enabled, the system will + * utilize scale tier credits until they are exhausted. + * - If set to 'auto', and the Project is not Scale tier enabled, the request will + * be processed using the default service tier with a lower uptime SLA and no + * latency guarentee. + * - If set to 'default', the request will be processed using the default service + * tier with a lower uptime SLA and no latency guarentee. + * - If set to 'flex', the request will be processed with the Flex Processing + * service tier. + * [Learn more](https://platform.openai.com/docs/guides/flex-processing). + * - When not set, the default behavior is 'auto'. + * + * When this parameter is set, the response body will include the `service_tier` + * utilized. + */ + service_tier?: 'auto' | 'default' | 'flex' | null; + + /** + * Not supported with latest reasoning models `o3` and `o4-mini`. + * + * Up to 4 sequences where the API will stop generating further tokens. The + * returned text will not contain the stop sequence. + */ + stop?: string | null | Array; + + /** + * Whether or not to store the output of this chat completion request for use in + * our [model distillation](https://platform.openai.com/docs/guides/distillation) + * or [evals](https://platform.openai.com/docs/guides/evals) products. + */ + store?: boolean | null; + + /** + * If set to true, the model response data will be streamed to the client as it is + * generated using + * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format). + * See the + * [Streaming section below](https://platform.openai.com/docs/api-reference/chat/streaming) + * for more information, along with the + * [streaming responses](https://platform.openai.com/docs/guides/streaming-responses) + * guide for more information on how to handle the streaming events. + */ + stream?: boolean | null; + + /** + * Options for streaming response. Only set this when you set `stream: true`. + */ + stream_options?: ChatCompletionStreamOptions | null; + + /** + * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will + * make the output more random, while lower values like 0.2 will make it more + * focused and deterministic. We generally recommend altering this or `top_p` but + * not both. + */ + temperature?: number | null; + + /** + * Controls which (if any) tool is called by the model. `none` means the model will + * not call any tool and instead generates a message. `auto` means the model can + * pick between generating a message or calling one or more tools. `required` means + * the model must call one or more tools. Specifying a particular tool via + * `{"type": "function", "function": {"name": "my_function"}}` forces the model to + * call that tool. + * + * `none` is the default when no tools are present. `auto` is the default if tools + * are present. + */ + tool_choice?: ChatCompletionToolChoiceOption; + + /** + * A list of tools the model may call. Currently, only functions are supported as a + * tool. Use this to provide a list of functions the model may generate JSON inputs + * for. A max of 128 functions are supported. + */ + tools?: Array; + + /** + * An integer between 0 and 20 specifying the number of most likely tokens to + * return at each token position, each with an associated log probability. + * `logprobs` must be set to `true` if this parameter is used. + */ + top_logprobs?: number | null; + + /** + * An alternative to sampling with temperature, called nucleus sampling, where the + * model considers the results of the tokens with top_p probability mass. So 0.1 + * means only the tokens comprising the top 10% probability mass are considered. + * + * We generally recommend altering this or `temperature` but not both. + */ + top_p?: number | null; + + /** + * A unique identifier representing your end-user, which can help OpenAI to monitor + * and detect abuse. + * [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids). + */ + user?: string; + + /** + * This tool searches the web for relevant results to use in a response. Learn more + * about the + * [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat). + */ + web_search_options?: ChatCompletionCreateParams.WebSearchOptions; +} + +export namespace ChatCompletionCreateParams { + /** + * @deprecated + */ + export interface Function { + /** + * The name of the function to be called. Must be a-z, A-Z, 0-9, or contain + * underscores and dashes, with a maximum length of 64. + */ + name: string; + + /** + * A description of what the function does, used by the model to choose when and + * how to call the function. + */ + description?: string; + + /** + * The parameters the functions accepts, described as a JSON Schema object. See the + * [guide](https://platform.openai.com/docs/guides/function-calling) for examples, + * and the + * [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for + * documentation about the format. + * + * Omitting `parameters` defines a function with an empty parameter list. + */ + parameters?: Shared.FunctionParameters; + } + + /** + * This tool searches the web for relevant results to use in a response. Learn more + * about the + * [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat). + */ + export interface WebSearchOptions { + /** + * High level guidance for the amount of context window space to use for the + * search. One of `low`, `medium`, or `high`. `medium` is the default. + */ + search_context_size?: 'low' | 'medium' | 'high'; + + /** + * Approximate location parameters for the search. + */ + user_location?: WebSearchOptions.UserLocation | null; + } + + export namespace WebSearchOptions { + /** + * Approximate location parameters for the search. + */ + export interface UserLocation { + /** + * Approximate location parameters for the search. + */ + approximate: UserLocation.Approximate; + + /** + * The type of location approximation. Always `approximate`. + */ + type: 'approximate'; + } + + export namespace UserLocation { + /** + * Approximate location parameters for the search. + */ + export interface Approximate { + /** + * Free text input for the city of the user, e.g. `San Francisco`. + */ + city?: string; + + /** + * The two-letter [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of + * the user, e.g. `US`. + */ + country?: string; + + /** + * Free text input for the region of the user, e.g. `California`. + */ + region?: string; + + /** + * The [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the + * user, e.g. `America/Los_Angeles`. + */ + timezone?: string; + } + } + } + + export type ChatCompletionCreateParamsNonStreaming = + CompletionsCompletionsAPI.ChatCompletionCreateParamsNonStreaming; + export type ChatCompletionCreateParamsStreaming = + CompletionsCompletionsAPI.ChatCompletionCreateParamsStreaming; +} + +/** + * @deprecated Use ChatCompletionCreateParams instead + */ +export type CompletionCreateParams = ChatCompletionCreateParams; + +export interface ChatCompletionCreateParamsNonStreaming extends ChatCompletionCreateParamsBase { + /** + * If set to true, the model response data will be streamed to the client as it is + * generated using + * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format). + * See the + * [Streaming section below](https://platform.openai.com/docs/api-reference/chat/streaming) + * for more information, along with the + * [streaming responses](https://platform.openai.com/docs/guides/streaming-responses) + * guide for more information on how to handle the streaming events. + */ + stream?: false | null; +} + +/** + * @deprecated Use ChatCompletionCreateParamsNonStreaming instead + */ +export type CompletionCreateParamsNonStreaming = ChatCompletionCreateParamsNonStreaming; + +export interface ChatCompletionCreateParamsStreaming extends ChatCompletionCreateParamsBase { + /** + * If set to true, the model response data will be streamed to the client as it is + * generated using + * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format). + * See the + * [Streaming section below](https://platform.openai.com/docs/api-reference/chat/streaming) + * for more information, along with the + * [streaming responses](https://platform.openai.com/docs/guides/streaming-responses) + * guide for more information on how to handle the streaming events. + */ + stream: true; +} + +/** + * @deprecated Use ChatCompletionCreateParamsStreaming instead + */ +export type CompletionCreateParamsStreaming = ChatCompletionCreateParamsStreaming; + +export interface ChatCompletionUpdateParams { + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata: Shared.Metadata | null; +} + +/** + * @deprecated Use ChatCompletionUpdateParams instead + */ +export type CompletionUpdateParams = ChatCompletionUpdateParams; + +export interface ChatCompletionListParams extends CursorPageParams { + /** + * A list of metadata keys to filter the Chat Completions by. Example: + * + * `metadata[key1]=value1&metadata[key2]=value2` + */ + metadata?: Shared.Metadata | null; + + /** + * The model used to generate the Chat Completions. + */ + model?: string; + + /** + * Sort order for Chat Completions by timestamp. Use `asc` for ascending order or + * `desc` for descending order. Defaults to `asc`. + */ + order?: 'asc' | 'desc'; +} + +/** + * @deprecated Use ChatCompletionListParams instead + */ +export type CompletionListParams = ChatCompletionListParams; + +Completions.ChatCompletionsPage = ChatCompletionsPage; +Completions.Messages = Messages; + +export declare namespace Completions { + export { + type ChatCompletion as ChatCompletion, + type ChatCompletionAssistantMessageParam as ChatCompletionAssistantMessageParam, + type ChatCompletionAudio as ChatCompletionAudio, + type ChatCompletionAudioParam as ChatCompletionAudioParam, + type ChatCompletionChunk as ChatCompletionChunk, + type ChatCompletionContentPart as ChatCompletionContentPart, + type ChatCompletionContentPartImage as ChatCompletionContentPartImage, + type ChatCompletionContentPartInputAudio as ChatCompletionContentPartInputAudio, + type ChatCompletionContentPartRefusal as ChatCompletionContentPartRefusal, + type ChatCompletionContentPartText as ChatCompletionContentPartText, + type ChatCompletionDeleted as ChatCompletionDeleted, + type ChatCompletionDeveloperMessageParam as ChatCompletionDeveloperMessageParam, + type ChatCompletionFunctionCallOption as ChatCompletionFunctionCallOption, + type ChatCompletionFunctionMessageParam as ChatCompletionFunctionMessageParam, + type ChatCompletionMessage as ChatCompletionMessage, + type ChatCompletionMessageParam as ChatCompletionMessageParam, + type ChatCompletionMessageToolCall as ChatCompletionMessageToolCall, + type ChatCompletionModality as ChatCompletionModality, + type ChatCompletionNamedToolChoice as ChatCompletionNamedToolChoice, + type ChatCompletionPredictionContent as ChatCompletionPredictionContent, + type ChatCompletionRole as ChatCompletionRole, + type ChatCompletionStoreMessage as ChatCompletionStoreMessage, + type ChatCompletionStreamOptions as ChatCompletionStreamOptions, + type ChatCompletionSystemMessageParam as ChatCompletionSystemMessageParam, + type ChatCompletionTokenLogprob as ChatCompletionTokenLogprob, + type ChatCompletionTool as ChatCompletionTool, + type ChatCompletionToolChoiceOption as ChatCompletionToolChoiceOption, + type ChatCompletionToolMessageParam as ChatCompletionToolMessageParam, + type ChatCompletionUserMessageParam as ChatCompletionUserMessageParam, + type CreateChatCompletionRequestMessage as CreateChatCompletionRequestMessage, + type ChatCompletionReasoningEffort as ChatCompletionReasoningEffort, + ChatCompletionsPage as ChatCompletionsPage, + type ChatCompletionCreateParams as ChatCompletionCreateParams, + type CompletionCreateParams as CompletionCreateParams, + type ChatCompletionCreateParamsNonStreaming as ChatCompletionCreateParamsNonStreaming, + type CompletionCreateParamsNonStreaming as CompletionCreateParamsNonStreaming, + type ChatCompletionCreateParamsStreaming as ChatCompletionCreateParamsStreaming, + type CompletionCreateParamsStreaming as CompletionCreateParamsStreaming, + type ChatCompletionUpdateParams as ChatCompletionUpdateParams, + type CompletionUpdateParams as CompletionUpdateParams, + type ChatCompletionListParams as ChatCompletionListParams, + type CompletionListParams as CompletionListParams, + }; + + export { Messages as Messages, type MessageListParams as MessageListParams }; +} diff --git a/src/resources/chat/completions/index.ts b/src/resources/chat/completions/index.ts new file mode 100644 index 000000000..994d6f880 --- /dev/null +++ b/src/resources/chat/completions/index.ts @@ -0,0 +1,48 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +export { + ChatCompletionStoreMessagesPage, + ChatCompletionsPage, + Completions, + type ChatCompletion, + type ChatCompletionAssistantMessageParam, + type ChatCompletionAudio, + type ChatCompletionAudioParam, + type ChatCompletionChunk, + type ChatCompletionContentPart, + type ChatCompletionContentPartImage, + type ChatCompletionContentPartInputAudio, + type ChatCompletionContentPartRefusal, + type ChatCompletionContentPartText, + type ChatCompletionDeleted, + type ChatCompletionDeveloperMessageParam, + type ChatCompletionFunctionCallOption, + type ChatCompletionFunctionMessageParam, + type ChatCompletionMessage, + type ChatCompletionMessageParam, + type ChatCompletionMessageToolCall, + type ChatCompletionModality, + type ChatCompletionNamedToolChoice, + type ChatCompletionPredictionContent, + type ChatCompletionRole, + type ChatCompletionStoreMessage, + type ChatCompletionStreamOptions, + type ChatCompletionSystemMessageParam, + type ChatCompletionTokenLogprob, + type ChatCompletionTool, + type ChatCompletionToolChoiceOption, + type ChatCompletionToolMessageParam, + type ChatCompletionUserMessageParam, + type CreateChatCompletionRequestMessage, + type ChatCompletionCreateParams, + type CompletionCreateParams, + type ChatCompletionCreateParamsNonStreaming, + type CompletionCreateParamsNonStreaming, + type ChatCompletionCreateParamsStreaming, + type CompletionCreateParamsStreaming, + type ChatCompletionUpdateParams, + type CompletionUpdateParams, + type ChatCompletionListParams, + type CompletionListParams, +} from './completions'; +export { Messages, type MessageListParams } from './messages'; diff --git a/src/resources/chat/completions/messages.ts b/src/resources/chat/completions/messages.ts new file mode 100644 index 000000000..ab3eb73f6 --- /dev/null +++ b/src/resources/chat/completions/messages.ts @@ -0,0 +1,62 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../../resource'; +import { isRequestOptions } from '../../../core'; +import * as Core from '../../../core'; +import * as CompletionsAPI from './completions'; +import { ChatCompletionStoreMessagesPage } from './completions'; +import { type CursorPageParams } from '../../../pagination'; + +export class Messages extends APIResource { + /** + * Get the messages in a stored chat completion. Only Chat Completions that have + * been created with the `store` parameter set to `true` will be returned. + * + * @example + * ```ts + * // Automatically fetches more pages as needed. + * for await (const chatCompletionStoreMessage of client.chat.completions.messages.list( + * 'completion_id', + * )) { + * // ... + * } + * ``` + */ + list( + completionId: string, + query?: MessageListParams, + options?: Core.RequestOptions, + ): Core.PagePromise; + list( + completionId: string, + options?: Core.RequestOptions, + ): Core.PagePromise; + list( + completionId: string, + query: MessageListParams | Core.RequestOptions = {}, + options?: Core.RequestOptions, + ): Core.PagePromise { + if (isRequestOptions(query)) { + return this.list(completionId, {}, query); + } + return this._client.getAPIList( + `/chat/completions/${completionId}/messages`, + ChatCompletionStoreMessagesPage, + { query, ...options }, + ); + } +} + +export interface MessageListParams extends CursorPageParams { + /** + * Sort order for messages by timestamp. Use `asc` for ascending order or `desc` + * for descending order. Defaults to `asc`. + */ + order?: 'asc' | 'desc'; +} + +export declare namespace Messages { + export { type MessageListParams as MessageListParams }; +} + +export { ChatCompletionStoreMessagesPage }; diff --git a/src/resources/chat/index.ts b/src/resources/chat/index.ts new file mode 100644 index 000000000..62ca758e0 --- /dev/null +++ b/src/resources/chat/index.ts @@ -0,0 +1,48 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +export { Chat } from './chat'; +export { + ChatCompletionStoreMessagesPage, + ChatCompletionsPage, + Completions, + type ChatCompletion, + type ChatCompletionAssistantMessageParam, + type ChatCompletionAudio, + type ChatCompletionAudioParam, + type ChatCompletionChunk, + type ChatCompletionContentPart, + type ChatCompletionContentPartImage, + type ChatCompletionContentPartInputAudio, + type ChatCompletionContentPartRefusal, + type ChatCompletionContentPartText, + type ChatCompletionDeleted, + type ChatCompletionDeveloperMessageParam, + type ChatCompletionFunctionCallOption, + type ChatCompletionFunctionMessageParam, + type ChatCompletionMessage, + type ChatCompletionMessageParam, + type ChatCompletionMessageToolCall, + type ChatCompletionModality, + type ChatCompletionNamedToolChoice, + type ChatCompletionPredictionContent, + type ChatCompletionRole, + type ChatCompletionStoreMessage, + type ChatCompletionStreamOptions, + type ChatCompletionSystemMessageParam, + type ChatCompletionTokenLogprob, + type ChatCompletionTool, + type ChatCompletionToolChoiceOption, + type ChatCompletionToolMessageParam, + type ChatCompletionUserMessageParam, + type CreateChatCompletionRequestMessage, + type ChatCompletionCreateParams, + type CompletionCreateParams, + type ChatCompletionCreateParamsNonStreaming, + type CompletionCreateParamsNonStreaming, + type ChatCompletionCreateParamsStreaming, + type CompletionCreateParamsStreaming, + type ChatCompletionUpdateParams, + type CompletionUpdateParams, + type ChatCompletionListParams, + type CompletionListParams, +} from './completions/index'; diff --git a/src/resources/completions.ts b/src/resources/completions.ts new file mode 100644 index 000000000..07cb49ed9 --- /dev/null +++ b/src/resources/completions.ts @@ -0,0 +1,397 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../resource'; +import { APIPromise } from '../core'; +import * as Core from '../core'; +import * as CompletionsAPI from './completions'; +import * as CompletionsCompletionsAPI from './chat/completions/completions'; +import { Stream } from '../streaming'; + +export class Completions extends APIResource { + /** + * Creates a completion for the provided prompt and parameters. + * + * @example + * ```ts + * const completion = await client.completions.create({ + * model: 'string', + * prompt: 'This is a test.', + * }); + * ``` + */ + create(body: CompletionCreateParamsNonStreaming, options?: Core.RequestOptions): APIPromise; + create( + body: CompletionCreateParamsStreaming, + options?: Core.RequestOptions, + ): APIPromise>; + create( + body: CompletionCreateParamsBase, + options?: Core.RequestOptions, + ): APIPromise | Completion>; + create( + body: CompletionCreateParams, + options?: Core.RequestOptions, + ): APIPromise | APIPromise> { + return this._client.post('/completions', { body, ...options, stream: body.stream ?? false }) as + | APIPromise + | APIPromise>; + } +} + +/** + * Represents a completion response from the API. Note: both the streamed and + * non-streamed response objects share the same shape (unlike the chat endpoint). + */ +export interface Completion { + /** + * A unique identifier for the completion. + */ + id: string; + + /** + * The list of completion choices the model generated for the input prompt. + */ + choices: Array; + + /** + * The Unix timestamp (in seconds) of when the completion was created. + */ + created: number; + + /** + * The model used for completion. + */ + model: string; + + /** + * The object type, which is always "text_completion" + */ + object: 'text_completion'; + + /** + * This fingerprint represents the backend configuration that the model runs with. + * + * Can be used in conjunction with the `seed` request parameter to understand when + * backend changes have been made that might impact determinism. + */ + system_fingerprint?: string; + + /** + * Usage statistics for the completion request. + */ + usage?: CompletionUsage; +} + +export interface CompletionChoice { + /** + * The reason the model stopped generating tokens. This will be `stop` if the model + * hit a natural stop point or a provided stop sequence, `length` if the maximum + * number of tokens specified in the request was reached, or `content_filter` if + * content was omitted due to a flag from our content filters. + */ + finish_reason: 'stop' | 'length' | 'content_filter'; + + index: number; + + logprobs: CompletionChoice.Logprobs | null; + + text: string; +} + +export namespace CompletionChoice { + export interface Logprobs { + text_offset?: Array; + + token_logprobs?: Array; + + tokens?: Array; + + top_logprobs?: Array>; + } +} + +/** + * Usage statistics for the completion request. + */ +export interface CompletionUsage { + /** + * Number of tokens in the generated completion. + */ + completion_tokens: number; + + /** + * Number of tokens in the prompt. + */ + prompt_tokens: number; + + /** + * Total number of tokens used in the request (prompt + completion). + */ + total_tokens: number; + + /** + * Breakdown of tokens used in a completion. + */ + completion_tokens_details?: CompletionUsage.CompletionTokensDetails; + + /** + * Breakdown of tokens used in the prompt. + */ + prompt_tokens_details?: CompletionUsage.PromptTokensDetails; +} + +export namespace CompletionUsage { + /** + * Breakdown of tokens used in a completion. + */ + export interface CompletionTokensDetails { + /** + * When using Predicted Outputs, the number of tokens in the prediction that + * appeared in the completion. + */ + accepted_prediction_tokens?: number; + + /** + * Audio input tokens generated by the model. + */ + audio_tokens?: number; + + /** + * Tokens generated by the model for reasoning. + */ + reasoning_tokens?: number; + + /** + * When using Predicted Outputs, the number of tokens in the prediction that did + * not appear in the completion. However, like reasoning tokens, these tokens are + * still counted in the total completion tokens for purposes of billing, output, + * and context window limits. + */ + rejected_prediction_tokens?: number; + } + + /** + * Breakdown of tokens used in the prompt. + */ + export interface PromptTokensDetails { + /** + * Audio input tokens present in the prompt. + */ + audio_tokens?: number; + + /** + * Cached tokens present in the prompt. + */ + cached_tokens?: number; + } +} + +export type CompletionCreateParams = CompletionCreateParamsNonStreaming | CompletionCreateParamsStreaming; + +export interface CompletionCreateParamsBase { + /** + * ID of the model to use. You can use the + * [List models](https://platform.openai.com/docs/api-reference/models/list) API to + * see all of your available models, or see our + * [Model overview](https://platform.openai.com/docs/models) for descriptions of + * them. + */ + model: (string & {}) | 'gpt-3.5-turbo-instruct' | 'davinci-002' | 'babbage-002'; + + /** + * The prompt(s) to generate completions for, encoded as a string, array of + * strings, array of tokens, or array of token arrays. + * + * Note that <|endoftext|> is the document separator that the model sees during + * training, so if a prompt is not specified the model will generate as if from the + * beginning of a new document. + */ + prompt: string | Array | Array | Array> | null; + + /** + * Generates `best_of` completions server-side and returns the "best" (the one with + * the highest log probability per token). Results cannot be streamed. + * + * When used with `n`, `best_of` controls the number of candidate completions and + * `n` specifies how many to return – `best_of` must be greater than `n`. + * + * **Note:** Because this parameter generates many completions, it can quickly + * consume your token quota. Use carefully and ensure that you have reasonable + * settings for `max_tokens` and `stop`. + */ + best_of?: number | null; + + /** + * Echo back the prompt in addition to the completion + */ + echo?: boolean | null; + + /** + * Number between -2.0 and 2.0. Positive values penalize new tokens based on their + * existing frequency in the text so far, decreasing the model's likelihood to + * repeat the same line verbatim. + * + * [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation) + */ + frequency_penalty?: number | null; + + /** + * Modify the likelihood of specified tokens appearing in the completion. + * + * Accepts a JSON object that maps tokens (specified by their token ID in the GPT + * tokenizer) to an associated bias value from -100 to 100. You can use this + * [tokenizer tool](/tokenizer?view=bpe) to convert text to token IDs. + * Mathematically, the bias is added to the logits generated by the model prior to + * sampling. The exact effect will vary per model, but values between -1 and 1 + * should decrease or increase likelihood of selection; values like -100 or 100 + * should result in a ban or exclusive selection of the relevant token. + * + * As an example, you can pass `{"50256": -100}` to prevent the <|endoftext|> token + * from being generated. + */ + logit_bias?: Record | null; + + /** + * Include the log probabilities on the `logprobs` most likely output tokens, as + * well the chosen tokens. For example, if `logprobs` is 5, the API will return a + * list of the 5 most likely tokens. The API will always return the `logprob` of + * the sampled token, so there may be up to `logprobs+1` elements in the response. + * + * The maximum value for `logprobs` is 5. + */ + logprobs?: number | null; + + /** + * The maximum number of [tokens](/tokenizer) that can be generated in the + * completion. + * + * The token count of your prompt plus `max_tokens` cannot exceed the model's + * context length. + * [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken) + * for counting tokens. + */ + max_tokens?: number | null; + + /** + * How many completions to generate for each prompt. + * + * **Note:** Because this parameter generates many completions, it can quickly + * consume your token quota. Use carefully and ensure that you have reasonable + * settings for `max_tokens` and `stop`. + */ + n?: number | null; + + /** + * Number between -2.0 and 2.0. Positive values penalize new tokens based on + * whether they appear in the text so far, increasing the model's likelihood to + * talk about new topics. + * + * [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation) + */ + presence_penalty?: number | null; + + /** + * If specified, our system will make a best effort to sample deterministically, + * such that repeated requests with the same `seed` and parameters should return + * the same result. + * + * Determinism is not guaranteed, and you should refer to the `system_fingerprint` + * response parameter to monitor changes in the backend. + */ + seed?: number | null; + + /** + * Not supported with latest reasoning models `o3` and `o4-mini`. + * + * Up to 4 sequences where the API will stop generating further tokens. The + * returned text will not contain the stop sequence. + */ + stop?: string | null | Array; + + /** + * Whether to stream back partial progress. If set, tokens will be sent as + * data-only + * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) + * as they become available, with the stream terminated by a `data: [DONE]` + * message. + * [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions). + */ + stream?: boolean | null; + + /** + * Options for streaming response. Only set this when you set `stream: true`. + */ + stream_options?: CompletionsCompletionsAPI.ChatCompletionStreamOptions | null; + + /** + * The suffix that comes after a completion of inserted text. + * + * This parameter is only supported for `gpt-3.5-turbo-instruct`. + */ + suffix?: string | null; + + /** + * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will + * make the output more random, while lower values like 0.2 will make it more + * focused and deterministic. + * + * We generally recommend altering this or `top_p` but not both. + */ + temperature?: number | null; + + /** + * An alternative to sampling with temperature, called nucleus sampling, where the + * model considers the results of the tokens with top_p probability mass. So 0.1 + * means only the tokens comprising the top 10% probability mass are considered. + * + * We generally recommend altering this or `temperature` but not both. + */ + top_p?: number | null; + + /** + * A unique identifier representing your end-user, which can help OpenAI to monitor + * and detect abuse. + * [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids). + */ + user?: string; +} + +export namespace CompletionCreateParams { + export type CompletionCreateParamsNonStreaming = CompletionsAPI.CompletionCreateParamsNonStreaming; + export type CompletionCreateParamsStreaming = CompletionsAPI.CompletionCreateParamsStreaming; +} + +export interface CompletionCreateParamsNonStreaming extends CompletionCreateParamsBase { + /** + * Whether to stream back partial progress. If set, tokens will be sent as + * data-only + * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) + * as they become available, with the stream terminated by a `data: [DONE]` + * message. + * [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions). + */ + stream?: false | null; +} + +export interface CompletionCreateParamsStreaming extends CompletionCreateParamsBase { + /** + * Whether to stream back partial progress. If set, tokens will be sent as + * data-only + * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) + * as they become available, with the stream terminated by a `data: [DONE]` + * message. + * [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions). + */ + stream: true; +} + +export declare namespace Completions { + export { + type Completion as Completion, + type CompletionChoice as CompletionChoice, + type CompletionUsage as CompletionUsage, + type CompletionCreateParams as CompletionCreateParams, + type CompletionCreateParamsNonStreaming as CompletionCreateParamsNonStreaming, + type CompletionCreateParamsStreaming as CompletionCreateParamsStreaming, + }; +} diff --git a/src/resources/embeddings.ts b/src/resources/embeddings.ts new file mode 100644 index 000000000..fb02a7654 --- /dev/null +++ b/src/resources/embeddings.ts @@ -0,0 +1,178 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../resource'; +import * as Core from '../core'; + +export class Embeddings extends APIResource { + /** + * Creates an embedding vector representing the input text. + * + * @example + * ```ts + * const createEmbeddingResponse = + * await client.embeddings.create({ + * input: 'The quick brown fox jumped over the lazy dog', + * model: 'text-embedding-3-small', + * }); + * ``` + */ + create( + body: EmbeddingCreateParams, + options?: Core.RequestOptions, + ): Core.APIPromise { + const hasUserProvidedEncodingFormat = !!body.encoding_format; + // No encoding_format specified, defaulting to base64 for performance reasons + // See https://github.com/openai/openai-node/pull/1312 + let encoding_format: EmbeddingCreateParams['encoding_format'] = + hasUserProvidedEncodingFormat ? body.encoding_format : 'base64'; + + if (hasUserProvidedEncodingFormat) { + Core.debug('Request', 'User defined encoding_format:', body.encoding_format); + } + + const response: Core.APIPromise = this._client.post('/embeddings', { + body: { + ...body, + encoding_format: encoding_format as EmbeddingCreateParams['encoding_format'], + }, + ...options, + }); + + // if the user specified an encoding_format, return the response as-is + if (hasUserProvidedEncodingFormat) { + return response; + } + + // in this stage, we are sure the user did not specify an encoding_format + // and we defaulted to base64 for performance reasons + // we are sure then that the response is base64 encoded, let's decode it + // the returned result will be a float32 array since this is OpenAI API's default encoding + Core.debug('response', 'Decoding base64 embeddings to float32 array'); + + return (response as Core.APIPromise)._thenUnwrap((response) => { + if (response && response.data) { + response.data.forEach((embeddingBase64Obj) => { + const embeddingBase64Str = embeddingBase64Obj.embedding as unknown as string; + embeddingBase64Obj.embedding = Core.toFloat32Array(embeddingBase64Str); + }); + } + + return response; + }); + } +} + +export interface CreateEmbeddingResponse { + /** + * The list of embeddings generated by the model. + */ + data: Array; + + /** + * The name of the model used to generate the embedding. + */ + model: string; + + /** + * The object type, which is always "list". + */ + object: 'list'; + + /** + * The usage information for the request. + */ + usage: CreateEmbeddingResponse.Usage; +} + +export namespace CreateEmbeddingResponse { + /** + * The usage information for the request. + */ + export interface Usage { + /** + * The number of tokens used by the prompt. + */ + prompt_tokens: number; + + /** + * The total number of tokens used by the request. + */ + total_tokens: number; + } +} + +/** + * Represents an embedding vector returned by embedding endpoint. + */ +export interface Embedding { + /** + * The embedding vector, which is a list of floats. The length of vector depends on + * the model as listed in the + * [embedding guide](https://platform.openai.com/docs/guides/embeddings). + */ + embedding: Array; + + /** + * The index of the embedding in the list of embeddings. + */ + index: number; + + /** + * The object type, which is always "embedding". + */ + object: 'embedding'; +} + +export type EmbeddingModel = 'text-embedding-ada-002' | 'text-embedding-3-small' | 'text-embedding-3-large'; + +export interface EmbeddingCreateParams { + /** + * Input text to embed, encoded as a string or array of tokens. To embed multiple + * inputs in a single request, pass an array of strings or array of token arrays. + * The input must not exceed the max input tokens for the model (8192 tokens for + * all embedding models), cannot be an empty string, and any array must be 2048 + * dimensions or less. + * [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken) + * for counting tokens. In addition to the per-input token limit, all embedding + * models enforce a maximum of 300,000 tokens summed across all inputs in a single + * request. + */ + input: string | Array | Array | Array>; + + /** + * ID of the model to use. You can use the + * [List models](https://platform.openai.com/docs/api-reference/models/list) API to + * see all of your available models, or see our + * [Model overview](https://platform.openai.com/docs/models) for descriptions of + * them. + */ + model: (string & {}) | EmbeddingModel; + + /** + * The number of dimensions the resulting output embeddings should have. Only + * supported in `text-embedding-3` and later models. + */ + dimensions?: number; + + /** + * The format to return the embeddings in. Can be either `float` or + * [`base64`](https://pypi.org/project/pybase64/). + */ + encoding_format?: 'float' | 'base64'; + + /** + * A unique identifier representing your end-user, which can help OpenAI to monitor + * and detect abuse. + * [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids). + */ + user?: string; +} + +export declare namespace Embeddings { + export { + type CreateEmbeddingResponse as CreateEmbeddingResponse, + type Embedding as Embedding, + type EmbeddingModel as EmbeddingModel, + type EmbeddingCreateParams as EmbeddingCreateParams, + }; +} diff --git a/src/resources/evals.ts b/src/resources/evals.ts new file mode 100644 index 000000000..b611710e1 --- /dev/null +++ b/src/resources/evals.ts @@ -0,0 +1,3 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +export * from './evals/index'; diff --git a/src/resources/evals/evals.ts b/src/resources/evals/evals.ts new file mode 100644 index 000000000..05a656619 --- /dev/null +++ b/src/resources/evals/evals.ts @@ -0,0 +1,909 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../resource'; +import { isRequestOptions } from '../../core'; +import * as Core from '../../core'; +import * as Shared from '../shared'; +import * as GraderModelsAPI from '../graders/grader-models'; +import * as ResponsesAPI from '../responses/responses'; +import * as RunsAPI from './runs/runs'; +import { + CreateEvalCompletionsRunDataSource, + CreateEvalJSONLRunDataSource, + EvalAPIError, + RunCancelResponse, + RunCreateParams, + RunCreateResponse, + RunDeleteResponse, + RunListParams, + RunListResponse, + RunListResponsesPage, + RunRetrieveResponse, + Runs, +} from './runs/runs'; +import { CursorPage, type CursorPageParams } from '../../pagination'; + +export class Evals extends APIResource { + runs: RunsAPI.Runs = new RunsAPI.Runs(this._client); + + /** + * Create the structure of an evaluation that can be used to test a model's + * performance. An evaluation is a set of testing criteria and the config for a + * data source, which dictates the schema of the data used in the evaluation. After + * creating an evaluation, you can run it on different models and model parameters. + * We support several types of graders and datasources. For more information, see + * the [Evals guide](https://platform.openai.com/docs/guides/evals). + */ + create(body: EvalCreateParams, options?: Core.RequestOptions): Core.APIPromise { + return this._client.post('/evals', { body, ...options }); + } + + /** + * Get an evaluation by ID. + */ + retrieve(evalId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.get(`/evals/${evalId}`, options); + } + + /** + * Update certain properties of an evaluation. + */ + update( + evalId: string, + body: EvalUpdateParams, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this._client.post(`/evals/${evalId}`, { body, ...options }); + } + + /** + * List evaluations for a project. + */ + list( + query?: EvalListParams, + options?: Core.RequestOptions, + ): Core.PagePromise; + list(options?: Core.RequestOptions): Core.PagePromise; + list( + query: EvalListParams | Core.RequestOptions = {}, + options?: Core.RequestOptions, + ): Core.PagePromise { + if (isRequestOptions(query)) { + return this.list({}, query); + } + return this._client.getAPIList('/evals', EvalListResponsesPage, { query, ...options }); + } + + /** + * Delete an evaluation. + */ + del(evalId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.delete(`/evals/${evalId}`, options); + } +} + +export class EvalListResponsesPage extends CursorPage {} + +/** + * A CustomDataSourceConfig which specifies the schema of your `item` and + * optionally `sample` namespaces. The response schema defines the shape of the + * data that will be: + * + * - Used to define your testing criteria and + * - What data is required when creating a run + */ +export interface EvalCustomDataSourceConfig { + /** + * The json schema for the run data source items. Learn how to build JSON schemas + * [here](https://json-schema.org/). + */ + schema: Record; + + /** + * The type of data source. Always `custom`. + */ + type: 'custom'; +} + +/** + * @deprecated Deprecated in favor of LogsDataSourceConfig. + */ +export interface EvalStoredCompletionsDataSourceConfig { + /** + * The json schema for the run data source items. Learn how to build JSON schemas + * [here](https://json-schema.org/). + */ + schema: Record; + + /** + * The type of data source. Always `stored_completions`. + */ + type: 'stored_completions'; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; +} + +/** + * An Eval object with a data source config and testing criteria. An Eval + * represents a task to be done for your LLM integration. Like: + * + * - Improve the quality of my chatbot + * - See how well my chatbot handles customer support + * - Check if o4-mini is better at my usecase than gpt-4o + */ +export interface EvalCreateResponse { + /** + * Unique identifier for the evaluation. + */ + id: string; + + /** + * The Unix timestamp (in seconds) for when the eval was created. + */ + created_at: number; + + /** + * Configuration of data sources used in runs of the evaluation. + */ + data_source_config: + | EvalCustomDataSourceConfig + | EvalCreateResponse.Logs + | EvalStoredCompletionsDataSourceConfig; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata: Shared.Metadata | null; + + /** + * The name of the evaluation. + */ + name: string; + + /** + * The object type. + */ + object: 'eval'; + + /** + * A list of testing criteria. + */ + testing_criteria: Array< + | GraderModelsAPI.LabelModelGrader + | GraderModelsAPI.StringCheckGrader + | EvalCreateResponse.EvalGraderTextSimilarity + | EvalCreateResponse.EvalGraderPython + | EvalCreateResponse.EvalGraderScoreModel + >; +} + +export namespace EvalCreateResponse { + /** + * A LogsDataSourceConfig which specifies the metadata property of your logs query. + * This is usually metadata like `usecase=chatbot` or `prompt-version=v2`, etc. The + * schema returned by this data source config is used to defined what variables are + * available in your evals. `item` and `sample` are both defined when using this + * data source config. + */ + export interface Logs { + /** + * The json schema for the run data source items. Learn how to build JSON schemas + * [here](https://json-schema.org/). + */ + schema: Record; + + /** + * The type of data source. Always `logs`. + */ + type: 'logs'; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + } + + /** + * A TextSimilarityGrader object which grades text based on similarity metrics. + */ + export interface EvalGraderTextSimilarity extends GraderModelsAPI.TextSimilarityGrader { + /** + * The threshold for the score. + */ + pass_threshold: number; + } + + /** + * A PythonGrader object that runs a python script on the input. + */ + export interface EvalGraderPython extends GraderModelsAPI.PythonGrader { + /** + * The threshold for the score. + */ + pass_threshold?: number; + } + + /** + * A ScoreModelGrader object that uses a model to assign a score to the input. + */ + export interface EvalGraderScoreModel extends GraderModelsAPI.ScoreModelGrader { + /** + * The threshold for the score. + */ + pass_threshold?: number; + } +} + +/** + * An Eval object with a data source config and testing criteria. An Eval + * represents a task to be done for your LLM integration. Like: + * + * - Improve the quality of my chatbot + * - See how well my chatbot handles customer support + * - Check if o4-mini is better at my usecase than gpt-4o + */ +export interface EvalRetrieveResponse { + /** + * Unique identifier for the evaluation. + */ + id: string; + + /** + * The Unix timestamp (in seconds) for when the eval was created. + */ + created_at: number; + + /** + * Configuration of data sources used in runs of the evaluation. + */ + data_source_config: + | EvalCustomDataSourceConfig + | EvalRetrieveResponse.Logs + | EvalStoredCompletionsDataSourceConfig; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata: Shared.Metadata | null; + + /** + * The name of the evaluation. + */ + name: string; + + /** + * The object type. + */ + object: 'eval'; + + /** + * A list of testing criteria. + */ + testing_criteria: Array< + | GraderModelsAPI.LabelModelGrader + | GraderModelsAPI.StringCheckGrader + | EvalRetrieveResponse.EvalGraderTextSimilarity + | EvalRetrieveResponse.EvalGraderPython + | EvalRetrieveResponse.EvalGraderScoreModel + >; +} + +export namespace EvalRetrieveResponse { + /** + * A LogsDataSourceConfig which specifies the metadata property of your logs query. + * This is usually metadata like `usecase=chatbot` or `prompt-version=v2`, etc. The + * schema returned by this data source config is used to defined what variables are + * available in your evals. `item` and `sample` are both defined when using this + * data source config. + */ + export interface Logs { + /** + * The json schema for the run data source items. Learn how to build JSON schemas + * [here](https://json-schema.org/). + */ + schema: Record; + + /** + * The type of data source. Always `logs`. + */ + type: 'logs'; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + } + + /** + * A TextSimilarityGrader object which grades text based on similarity metrics. + */ + export interface EvalGraderTextSimilarity extends GraderModelsAPI.TextSimilarityGrader { + /** + * The threshold for the score. + */ + pass_threshold: number; + } + + /** + * A PythonGrader object that runs a python script on the input. + */ + export interface EvalGraderPython extends GraderModelsAPI.PythonGrader { + /** + * The threshold for the score. + */ + pass_threshold?: number; + } + + /** + * A ScoreModelGrader object that uses a model to assign a score to the input. + */ + export interface EvalGraderScoreModel extends GraderModelsAPI.ScoreModelGrader { + /** + * The threshold for the score. + */ + pass_threshold?: number; + } +} + +/** + * An Eval object with a data source config and testing criteria. An Eval + * represents a task to be done for your LLM integration. Like: + * + * - Improve the quality of my chatbot + * - See how well my chatbot handles customer support + * - Check if o4-mini is better at my usecase than gpt-4o + */ +export interface EvalUpdateResponse { + /** + * Unique identifier for the evaluation. + */ + id: string; + + /** + * The Unix timestamp (in seconds) for when the eval was created. + */ + created_at: number; + + /** + * Configuration of data sources used in runs of the evaluation. + */ + data_source_config: + | EvalCustomDataSourceConfig + | EvalUpdateResponse.Logs + | EvalStoredCompletionsDataSourceConfig; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata: Shared.Metadata | null; + + /** + * The name of the evaluation. + */ + name: string; + + /** + * The object type. + */ + object: 'eval'; + + /** + * A list of testing criteria. + */ + testing_criteria: Array< + | GraderModelsAPI.LabelModelGrader + | GraderModelsAPI.StringCheckGrader + | EvalUpdateResponse.EvalGraderTextSimilarity + | EvalUpdateResponse.EvalGraderPython + | EvalUpdateResponse.EvalGraderScoreModel + >; +} + +export namespace EvalUpdateResponse { + /** + * A LogsDataSourceConfig which specifies the metadata property of your logs query. + * This is usually metadata like `usecase=chatbot` or `prompt-version=v2`, etc. The + * schema returned by this data source config is used to defined what variables are + * available in your evals. `item` and `sample` are both defined when using this + * data source config. + */ + export interface Logs { + /** + * The json schema for the run data source items. Learn how to build JSON schemas + * [here](https://json-schema.org/). + */ + schema: Record; + + /** + * The type of data source. Always `logs`. + */ + type: 'logs'; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + } + + /** + * A TextSimilarityGrader object which grades text based on similarity metrics. + */ + export interface EvalGraderTextSimilarity extends GraderModelsAPI.TextSimilarityGrader { + /** + * The threshold for the score. + */ + pass_threshold: number; + } + + /** + * A PythonGrader object that runs a python script on the input. + */ + export interface EvalGraderPython extends GraderModelsAPI.PythonGrader { + /** + * The threshold for the score. + */ + pass_threshold?: number; + } + + /** + * A ScoreModelGrader object that uses a model to assign a score to the input. + */ + export interface EvalGraderScoreModel extends GraderModelsAPI.ScoreModelGrader { + /** + * The threshold for the score. + */ + pass_threshold?: number; + } +} + +/** + * An Eval object with a data source config and testing criteria. An Eval + * represents a task to be done for your LLM integration. Like: + * + * - Improve the quality of my chatbot + * - See how well my chatbot handles customer support + * - Check if o4-mini is better at my usecase than gpt-4o + */ +export interface EvalListResponse { + /** + * Unique identifier for the evaluation. + */ + id: string; + + /** + * The Unix timestamp (in seconds) for when the eval was created. + */ + created_at: number; + + /** + * Configuration of data sources used in runs of the evaluation. + */ + data_source_config: + | EvalCustomDataSourceConfig + | EvalListResponse.Logs + | EvalStoredCompletionsDataSourceConfig; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata: Shared.Metadata | null; + + /** + * The name of the evaluation. + */ + name: string; + + /** + * The object type. + */ + object: 'eval'; + + /** + * A list of testing criteria. + */ + testing_criteria: Array< + | GraderModelsAPI.LabelModelGrader + | GraderModelsAPI.StringCheckGrader + | EvalListResponse.EvalGraderTextSimilarity + | EvalListResponse.EvalGraderPython + | EvalListResponse.EvalGraderScoreModel + >; +} + +export namespace EvalListResponse { + /** + * A LogsDataSourceConfig which specifies the metadata property of your logs query. + * This is usually metadata like `usecase=chatbot` or `prompt-version=v2`, etc. The + * schema returned by this data source config is used to defined what variables are + * available in your evals. `item` and `sample` are both defined when using this + * data source config. + */ + export interface Logs { + /** + * The json schema for the run data source items. Learn how to build JSON schemas + * [here](https://json-schema.org/). + */ + schema: Record; + + /** + * The type of data source. Always `logs`. + */ + type: 'logs'; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + } + + /** + * A TextSimilarityGrader object which grades text based on similarity metrics. + */ + export interface EvalGraderTextSimilarity extends GraderModelsAPI.TextSimilarityGrader { + /** + * The threshold for the score. + */ + pass_threshold: number; + } + + /** + * A PythonGrader object that runs a python script on the input. + */ + export interface EvalGraderPython extends GraderModelsAPI.PythonGrader { + /** + * The threshold for the score. + */ + pass_threshold?: number; + } + + /** + * A ScoreModelGrader object that uses a model to assign a score to the input. + */ + export interface EvalGraderScoreModel extends GraderModelsAPI.ScoreModelGrader { + /** + * The threshold for the score. + */ + pass_threshold?: number; + } +} + +export interface EvalDeleteResponse { + deleted: boolean; + + eval_id: string; + + object: string; +} + +export interface EvalCreateParams { + /** + * The configuration for the data source used for the evaluation runs. Dictates the + * schema of the data used in the evaluation. + */ + data_source_config: EvalCreateParams.Custom | EvalCreateParams.Logs | EvalCreateParams.StoredCompletions; + + /** + * A list of graders for all eval runs in this group. Graders can reference + * variables in the data source using double curly braces notation, like + * `{{item.variable_name}}`. To reference the model's output, use the `sample` + * namespace (ie, `{{sample.output_text}}`). + */ + testing_criteria: Array< + | EvalCreateParams.LabelModel + | GraderModelsAPI.StringCheckGrader + | EvalCreateParams.TextSimilarity + | EvalCreateParams.Python + | EvalCreateParams.ScoreModel + >; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + + /** + * The name of the evaluation. + */ + name?: string; +} + +export namespace EvalCreateParams { + /** + * A CustomDataSourceConfig object that defines the schema for the data source used + * for the evaluation runs. This schema is used to define the shape of the data + * that will be: + * + * - Used to define your testing criteria and + * - What data is required when creating a run + */ + export interface Custom { + /** + * The json schema for each row in the data source. + */ + item_schema: Record; + + /** + * The type of data source. Always `custom`. + */ + type: 'custom'; + + /** + * Whether the eval should expect you to populate the sample namespace (ie, by + * generating responses off of your data source) + */ + include_sample_schema?: boolean; + } + + /** + * A data source config which specifies the metadata property of your logs query. + * This is usually metadata like `usecase=chatbot` or `prompt-version=v2`, etc. + */ + export interface Logs { + /** + * The type of data source. Always `logs`. + */ + type: 'logs'; + + /** + * Metadata filters for the logs data source. + */ + metadata?: Record; + } + + /** + * @deprecated Deprecated in favor of LogsDataSourceConfig. + */ + export interface StoredCompletions { + /** + * The type of data source. Always `stored_completions`. + */ + type: 'stored_completions'; + + /** + * Metadata filters for the stored completions data source. + */ + metadata?: Record; + } + + /** + * A LabelModelGrader object which uses a model to assign labels to each item in + * the evaluation. + */ + export interface LabelModel { + /** + * A list of chat messages forming the prompt or context. May include variable + * references to the `item` namespace, ie {{item.name}}. + */ + input: Array; + + /** + * The labels to classify to each item in the evaluation. + */ + labels: Array; + + /** + * The model to use for the evaluation. Must support structured outputs. + */ + model: string; + + /** + * The name of the grader. + */ + name: string; + + /** + * The labels that indicate a passing result. Must be a subset of labels. + */ + passing_labels: Array; + + /** + * The object type, which is always `label_model`. + */ + type: 'label_model'; + } + + export namespace LabelModel { + export interface SimpleInputMessage { + /** + * The content of the message. + */ + content: string; + + /** + * The role of the message (e.g. "system", "assistant", "user"). + */ + role: string; + } + + /** + * A message input to the model with a role indicating instruction following + * hierarchy. Instructions given with the `developer` or `system` role take + * precedence over instructions given with the `user` role. Messages with the + * `assistant` role are presumed to have been generated by the model in previous + * interactions. + */ + export interface EvalItem { + /** + * Text inputs to the model - can contain template strings. + */ + content: string | ResponsesAPI.ResponseInputText | EvalItem.OutputText; + + /** + * The role of the message input. One of `user`, `assistant`, `system`, or + * `developer`. + */ + role: 'user' | 'assistant' | 'system' | 'developer'; + + /** + * The type of the message input. Always `message`. + */ + type?: 'message'; + } + + export namespace EvalItem { + /** + * A text output from the model. + */ + export interface OutputText { + /** + * The text output from the model. + */ + text: string; + + /** + * The type of the output text. Always `output_text`. + */ + type: 'output_text'; + } + } + } + + /** + * A TextSimilarityGrader object which grades text based on similarity metrics. + */ + export interface TextSimilarity extends GraderModelsAPI.TextSimilarityGrader { + /** + * The threshold for the score. + */ + pass_threshold: number; + } + + /** + * A PythonGrader object that runs a python script on the input. + */ + export interface Python extends GraderModelsAPI.PythonGrader { + /** + * The threshold for the score. + */ + pass_threshold?: number; + } + + /** + * A ScoreModelGrader object that uses a model to assign a score to the input. + */ + export interface ScoreModel extends GraderModelsAPI.ScoreModelGrader { + /** + * The threshold for the score. + */ + pass_threshold?: number; + } +} + +export interface EvalUpdateParams { + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + + /** + * Rename the evaluation. + */ + name?: string; +} + +export interface EvalListParams extends CursorPageParams { + /** + * Sort order for evals by timestamp. Use `asc` for ascending order or `desc` for + * descending order. + */ + order?: 'asc' | 'desc'; + + /** + * Evals can be ordered by creation time or last updated time. Use `created_at` for + * creation time or `updated_at` for last updated time. + */ + order_by?: 'created_at' | 'updated_at'; +} + +Evals.EvalListResponsesPage = EvalListResponsesPage; +Evals.Runs = Runs; +Evals.RunListResponsesPage = RunListResponsesPage; + +export declare namespace Evals { + export { + type EvalCustomDataSourceConfig as EvalCustomDataSourceConfig, + type EvalStoredCompletionsDataSourceConfig as EvalStoredCompletionsDataSourceConfig, + type EvalCreateResponse as EvalCreateResponse, + type EvalRetrieveResponse as EvalRetrieveResponse, + type EvalUpdateResponse as EvalUpdateResponse, + type EvalListResponse as EvalListResponse, + type EvalDeleteResponse as EvalDeleteResponse, + EvalListResponsesPage as EvalListResponsesPage, + type EvalCreateParams as EvalCreateParams, + type EvalUpdateParams as EvalUpdateParams, + type EvalListParams as EvalListParams, + }; + + export { + Runs as Runs, + type CreateEvalCompletionsRunDataSource as CreateEvalCompletionsRunDataSource, + type CreateEvalJSONLRunDataSource as CreateEvalJSONLRunDataSource, + type EvalAPIError as EvalAPIError, + type RunCreateResponse as RunCreateResponse, + type RunRetrieveResponse as RunRetrieveResponse, + type RunListResponse as RunListResponse, + type RunDeleteResponse as RunDeleteResponse, + type RunCancelResponse as RunCancelResponse, + RunListResponsesPage as RunListResponsesPage, + type RunCreateParams as RunCreateParams, + type RunListParams as RunListParams, + }; +} diff --git a/src/resources/evals/index.ts b/src/resources/evals/index.ts new file mode 100644 index 000000000..b2627fbf3 --- /dev/null +++ b/src/resources/evals/index.ts @@ -0,0 +1,30 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +export { + EvalListResponsesPage, + Evals, + type EvalCustomDataSourceConfig, + type EvalStoredCompletionsDataSourceConfig, + type EvalCreateResponse, + type EvalRetrieveResponse, + type EvalUpdateResponse, + type EvalListResponse, + type EvalDeleteResponse, + type EvalCreateParams, + type EvalUpdateParams, + type EvalListParams, +} from './evals'; +export { + RunListResponsesPage, + Runs, + type CreateEvalCompletionsRunDataSource, + type CreateEvalJSONLRunDataSource, + type EvalAPIError, + type RunCreateResponse, + type RunRetrieveResponse, + type RunListResponse, + type RunDeleteResponse, + type RunCancelResponse, + type RunCreateParams, + type RunListParams, +} from './runs/index'; diff --git a/src/resources/evals/runs.ts b/src/resources/evals/runs.ts new file mode 100644 index 000000000..a3cc2bc7f --- /dev/null +++ b/src/resources/evals/runs.ts @@ -0,0 +1,3 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +export * from './runs/index'; diff --git a/src/resources/evals/runs/index.ts b/src/resources/evals/runs/index.ts new file mode 100644 index 000000000..d0e18bff4 --- /dev/null +++ b/src/resources/evals/runs/index.ts @@ -0,0 +1,23 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +export { + OutputItemListResponsesPage, + OutputItems, + type OutputItemRetrieveResponse, + type OutputItemListResponse, + type OutputItemListParams, +} from './output-items'; +export { + RunListResponsesPage, + Runs, + type CreateEvalCompletionsRunDataSource, + type CreateEvalJSONLRunDataSource, + type EvalAPIError, + type RunCreateResponse, + type RunRetrieveResponse, + type RunListResponse, + type RunDeleteResponse, + type RunCancelResponse, + type RunCreateParams, + type RunListParams, +} from './runs'; diff --git a/src/resources/evals/runs/output-items.ts b/src/resources/evals/runs/output-items.ts new file mode 100644 index 000000000..ee947c60f --- /dev/null +++ b/src/resources/evals/runs/output-items.ts @@ -0,0 +1,410 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../../resource'; +import { isRequestOptions } from '../../../core'; +import * as Core from '../../../core'; +import * as RunsAPI from './runs'; +import { CursorPage, type CursorPageParams } from '../../../pagination'; + +export class OutputItems extends APIResource { + /** + * Get an evaluation run output item by ID. + */ + retrieve( + evalId: string, + runId: string, + outputItemId: string, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this._client.get(`/evals/${evalId}/runs/${runId}/output_items/${outputItemId}`, options); + } + + /** + * Get a list of output items for an evaluation run. + */ + list( + evalId: string, + runId: string, + query?: OutputItemListParams, + options?: Core.RequestOptions, + ): Core.PagePromise; + list( + evalId: string, + runId: string, + options?: Core.RequestOptions, + ): Core.PagePromise; + list( + evalId: string, + runId: string, + query: OutputItemListParams | Core.RequestOptions = {}, + options?: Core.RequestOptions, + ): Core.PagePromise { + if (isRequestOptions(query)) { + return this.list(evalId, runId, {}, query); + } + return this._client.getAPIList( + `/evals/${evalId}/runs/${runId}/output_items`, + OutputItemListResponsesPage, + { query, ...options }, + ); + } +} + +export class OutputItemListResponsesPage extends CursorPage {} + +/** + * A schema representing an evaluation run output item. + */ +export interface OutputItemRetrieveResponse { + /** + * Unique identifier for the evaluation run output item. + */ + id: string; + + /** + * Unix timestamp (in seconds) when the evaluation run was created. + */ + created_at: number; + + /** + * Details of the input data source item. + */ + datasource_item: Record; + + /** + * The identifier for the data source item. + */ + datasource_item_id: number; + + /** + * The identifier of the evaluation group. + */ + eval_id: string; + + /** + * The type of the object. Always "eval.run.output_item". + */ + object: 'eval.run.output_item'; + + /** + * A list of results from the evaluation run. + */ + results: Array>; + + /** + * The identifier of the evaluation run associated with this output item. + */ + run_id: string; + + /** + * A sample containing the input and output of the evaluation run. + */ + sample: OutputItemRetrieveResponse.Sample; + + /** + * The status of the evaluation run. + */ + status: string; +} + +export namespace OutputItemRetrieveResponse { + /** + * A sample containing the input and output of the evaluation run. + */ + export interface Sample { + /** + * An object representing an error response from the Eval API. + */ + error: RunsAPI.EvalAPIError; + + /** + * The reason why the sample generation was finished. + */ + finish_reason: string; + + /** + * An array of input messages. + */ + input: Array; + + /** + * The maximum number of tokens allowed for completion. + */ + max_completion_tokens: number; + + /** + * The model used for generating the sample. + */ + model: string; + + /** + * An array of output messages. + */ + output: Array; + + /** + * The seed used for generating the sample. + */ + seed: number; + + /** + * The sampling temperature used. + */ + temperature: number; + + /** + * The top_p value used for sampling. + */ + top_p: number; + + /** + * Token usage details for the sample. + */ + usage: Sample.Usage; + } + + export namespace Sample { + /** + * An input message. + */ + export interface Input { + /** + * The content of the message. + */ + content: string; + + /** + * The role of the message sender (e.g., system, user, developer). + */ + role: string; + } + + export interface Output { + /** + * The content of the message. + */ + content?: string; + + /** + * The role of the message (e.g. "system", "assistant", "user"). + */ + role?: string; + } + + /** + * Token usage details for the sample. + */ + export interface Usage { + /** + * The number of tokens retrieved from cache. + */ + cached_tokens: number; + + /** + * The number of completion tokens generated. + */ + completion_tokens: number; + + /** + * The number of prompt tokens used. + */ + prompt_tokens: number; + + /** + * The total number of tokens used. + */ + total_tokens: number; + } + } +} + +/** + * A schema representing an evaluation run output item. + */ +export interface OutputItemListResponse { + /** + * Unique identifier for the evaluation run output item. + */ + id: string; + + /** + * Unix timestamp (in seconds) when the evaluation run was created. + */ + created_at: number; + + /** + * Details of the input data source item. + */ + datasource_item: Record; + + /** + * The identifier for the data source item. + */ + datasource_item_id: number; + + /** + * The identifier of the evaluation group. + */ + eval_id: string; + + /** + * The type of the object. Always "eval.run.output_item". + */ + object: 'eval.run.output_item'; + + /** + * A list of results from the evaluation run. + */ + results: Array>; + + /** + * The identifier of the evaluation run associated with this output item. + */ + run_id: string; + + /** + * A sample containing the input and output of the evaluation run. + */ + sample: OutputItemListResponse.Sample; + + /** + * The status of the evaluation run. + */ + status: string; +} + +export namespace OutputItemListResponse { + /** + * A sample containing the input and output of the evaluation run. + */ + export interface Sample { + /** + * An object representing an error response from the Eval API. + */ + error: RunsAPI.EvalAPIError; + + /** + * The reason why the sample generation was finished. + */ + finish_reason: string; + + /** + * An array of input messages. + */ + input: Array; + + /** + * The maximum number of tokens allowed for completion. + */ + max_completion_tokens: number; + + /** + * The model used for generating the sample. + */ + model: string; + + /** + * An array of output messages. + */ + output: Array; + + /** + * The seed used for generating the sample. + */ + seed: number; + + /** + * The sampling temperature used. + */ + temperature: number; + + /** + * The top_p value used for sampling. + */ + top_p: number; + + /** + * Token usage details for the sample. + */ + usage: Sample.Usage; + } + + export namespace Sample { + /** + * An input message. + */ + export interface Input { + /** + * The content of the message. + */ + content: string; + + /** + * The role of the message sender (e.g., system, user, developer). + */ + role: string; + } + + export interface Output { + /** + * The content of the message. + */ + content?: string; + + /** + * The role of the message (e.g. "system", "assistant", "user"). + */ + role?: string; + } + + /** + * Token usage details for the sample. + */ + export interface Usage { + /** + * The number of tokens retrieved from cache. + */ + cached_tokens: number; + + /** + * The number of completion tokens generated. + */ + completion_tokens: number; + + /** + * The number of prompt tokens used. + */ + prompt_tokens: number; + + /** + * The total number of tokens used. + */ + total_tokens: number; + } + } +} + +export interface OutputItemListParams extends CursorPageParams { + /** + * Sort order for output items by timestamp. Use `asc` for ascending order or + * `desc` for descending order. Defaults to `asc`. + */ + order?: 'asc' | 'desc'; + + /** + * Filter output items by status. Use `failed` to filter by failed output items or + * `pass` to filter by passed output items. + */ + status?: 'fail' | 'pass'; +} + +OutputItems.OutputItemListResponsesPage = OutputItemListResponsesPage; + +export declare namespace OutputItems { + export { + type OutputItemRetrieveResponse as OutputItemRetrieveResponse, + type OutputItemListResponse as OutputItemListResponse, + OutputItemListResponsesPage as OutputItemListResponsesPage, + type OutputItemListParams as OutputItemListParams, + }; +} diff --git a/src/resources/evals/runs/runs.ts b/src/resources/evals/runs/runs.ts new file mode 100644 index 000000000..e761e2160 --- /dev/null +++ b/src/resources/evals/runs/runs.ts @@ -0,0 +1,2228 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../../resource'; +import { isRequestOptions } from '../../../core'; +import * as Core from '../../../core'; +import * as Shared from '../../shared'; +import * as ResponsesAPI from '../../responses/responses'; +import * as OutputItemsAPI from './output-items'; +import { + OutputItemListParams, + OutputItemListResponse, + OutputItemListResponsesPage, + OutputItemRetrieveResponse, + OutputItems, +} from './output-items'; +import { CursorPage, type CursorPageParams } from '../../../pagination'; + +export class Runs extends APIResource { + outputItems: OutputItemsAPI.OutputItems = new OutputItemsAPI.OutputItems(this._client); + + /** + * Kicks off a new run for a given evaluation, specifying the data source, and what + * model configuration to use to test. The datasource will be validated against the + * schema specified in the config of the evaluation. + */ + create( + evalId: string, + body: RunCreateParams, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this._client.post(`/evals/${evalId}/runs`, { body, ...options }); + } + + /** + * Get an evaluation run by ID. + */ + retrieve( + evalId: string, + runId: string, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this._client.get(`/evals/${evalId}/runs/${runId}`, options); + } + + /** + * Get a list of runs for an evaluation. + */ + list( + evalId: string, + query?: RunListParams, + options?: Core.RequestOptions, + ): Core.PagePromise; + list( + evalId: string, + options?: Core.RequestOptions, + ): Core.PagePromise; + list( + evalId: string, + query: RunListParams | Core.RequestOptions = {}, + options?: Core.RequestOptions, + ): Core.PagePromise { + if (isRequestOptions(query)) { + return this.list(evalId, {}, query); + } + return this._client.getAPIList(`/evals/${evalId}/runs`, RunListResponsesPage, { query, ...options }); + } + + /** + * Delete an eval run. + */ + del(evalId: string, runId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.delete(`/evals/${evalId}/runs/${runId}`, options); + } + + /** + * Cancel an ongoing evaluation run. + */ + cancel(evalId: string, runId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.post(`/evals/${evalId}/runs/${runId}`, options); + } +} + +export class RunListResponsesPage extends CursorPage {} + +/** + * A CompletionsRunDataSource object describing a model sampling configuration. + */ +export interface CreateEvalCompletionsRunDataSource { + /** + * Determines what populates the `item` namespace in this run's data source. + */ + source: + | CreateEvalCompletionsRunDataSource.FileContent + | CreateEvalCompletionsRunDataSource.FileID + | CreateEvalCompletionsRunDataSource.StoredCompletions; + + /** + * The type of run data source. Always `completions`. + */ + type: 'completions'; + + /** + * Used when sampling from a model. Dictates the structure of the messages passed + * into the model. Can either be a reference to a prebuilt trajectory (ie, + * `item.input_trajectory`), or a template with variable references to the `item` + * namespace. + */ + input_messages?: + | CreateEvalCompletionsRunDataSource.Template + | CreateEvalCompletionsRunDataSource.ItemReference; + + /** + * The name of the model to use for generating completions (e.g. "o3-mini"). + */ + model?: string; + + sampling_params?: CreateEvalCompletionsRunDataSource.SamplingParams; +} + +export namespace CreateEvalCompletionsRunDataSource { + export interface FileContent { + /** + * The content of the jsonl file. + */ + content: Array; + + /** + * The type of jsonl source. Always `file_content`. + */ + type: 'file_content'; + } + + export namespace FileContent { + export interface Content { + item: Record; + + sample?: Record; + } + } + + export interface FileID { + /** + * The identifier of the file. + */ + id: string; + + /** + * The type of jsonl source. Always `file_id`. + */ + type: 'file_id'; + } + + /** + * A StoredCompletionsRunDataSource configuration describing a set of filters + */ + export interface StoredCompletions { + /** + * The type of source. Always `stored_completions`. + */ + type: 'stored_completions'; + + /** + * An optional Unix timestamp to filter items created after this time. + */ + created_after?: number | null; + + /** + * An optional Unix timestamp to filter items created before this time. + */ + created_before?: number | null; + + /** + * An optional maximum number of items to return. + */ + limit?: number | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + + /** + * An optional model to filter by (e.g., 'gpt-4o'). + */ + model?: string | null; + } + + export interface Template { + /** + * A list of chat messages forming the prompt or context. May include variable + * references to the `item` namespace, ie {{item.name}}. + */ + template: Array; + + /** + * The type of input messages. Always `template`. + */ + type: 'template'; + } + + export namespace Template { + /** + * A message input to the model with a role indicating instruction following + * hierarchy. Instructions given with the `developer` or `system` role take + * precedence over instructions given with the `user` role. Messages with the + * `assistant` role are presumed to have been generated by the model in previous + * interactions. + */ + export interface Message { + /** + * Text inputs to the model - can contain template strings. + */ + content: string | ResponsesAPI.ResponseInputText | Message.OutputText; + + /** + * The role of the message input. One of `user`, `assistant`, `system`, or + * `developer`. + */ + role: 'user' | 'assistant' | 'system' | 'developer'; + + /** + * The type of the message input. Always `message`. + */ + type?: 'message'; + } + + export namespace Message { + /** + * A text output from the model. + */ + export interface OutputText { + /** + * The text output from the model. + */ + text: string; + + /** + * The type of the output text. Always `output_text`. + */ + type: 'output_text'; + } + } + } + + export interface ItemReference { + /** + * A reference to a variable in the `item` namespace. Ie, "item.input_trajectory" + */ + item_reference: string; + + /** + * The type of input messages. Always `item_reference`. + */ + type: 'item_reference'; + } + + export interface SamplingParams { + /** + * The maximum number of tokens in the generated output. + */ + max_completion_tokens?: number; + + /** + * A seed value to initialize the randomness, during sampling. + */ + seed?: number; + + /** + * A higher temperature increases randomness in the outputs. + */ + temperature?: number; + + /** + * An alternative to temperature for nucleus sampling; 1.0 includes all tokens. + */ + top_p?: number; + } +} + +/** + * A JsonlRunDataSource object with that specifies a JSONL file that matches the + * eval + */ +export interface CreateEvalJSONLRunDataSource { + /** + * Determines what populates the `item` namespace in the data source. + */ + source: CreateEvalJSONLRunDataSource.FileContent | CreateEvalJSONLRunDataSource.FileID; + + /** + * The type of data source. Always `jsonl`. + */ + type: 'jsonl'; +} + +export namespace CreateEvalJSONLRunDataSource { + export interface FileContent { + /** + * The content of the jsonl file. + */ + content: Array; + + /** + * The type of jsonl source. Always `file_content`. + */ + type: 'file_content'; + } + + export namespace FileContent { + export interface Content { + item: Record; + + sample?: Record; + } + } + + export interface FileID { + /** + * The identifier of the file. + */ + id: string; + + /** + * The type of jsonl source. Always `file_id`. + */ + type: 'file_id'; + } +} + +/** + * An object representing an error response from the Eval API. + */ +export interface EvalAPIError { + /** + * The error code. + */ + code: string; + + /** + * The error message. + */ + message: string; +} + +/** + * A schema representing an evaluation run. + */ +export interface RunCreateResponse { + /** + * Unique identifier for the evaluation run. + */ + id: string; + + /** + * Unix timestamp (in seconds) when the evaluation run was created. + */ + created_at: number; + + /** + * Information about the run's data source. + */ + data_source: + | CreateEvalJSONLRunDataSource + | CreateEvalCompletionsRunDataSource + | RunCreateResponse.Responses; + + /** + * An object representing an error response from the Eval API. + */ + error: EvalAPIError; + + /** + * The identifier of the associated evaluation. + */ + eval_id: string; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata: Shared.Metadata | null; + + /** + * The model that is evaluated, if applicable. + */ + model: string; + + /** + * The name of the evaluation run. + */ + name: string; + + /** + * The type of the object. Always "eval.run". + */ + object: 'eval.run'; + + /** + * Usage statistics for each model during the evaluation run. + */ + per_model_usage: Array; + + /** + * Results per testing criteria applied during the evaluation run. + */ + per_testing_criteria_results: Array; + + /** + * The URL to the rendered evaluation run report on the UI dashboard. + */ + report_url: string; + + /** + * Counters summarizing the outcomes of the evaluation run. + */ + result_counts: RunCreateResponse.ResultCounts; + + /** + * The status of the evaluation run. + */ + status: string; +} + +export namespace RunCreateResponse { + /** + * A ResponsesRunDataSource object describing a model sampling configuration. + */ + export interface Responses { + /** + * Determines what populates the `item` namespace in this run's data source. + */ + source: Responses.FileContent | Responses.FileID | Responses.Responses; + + /** + * The type of run data source. Always `responses`. + */ + type: 'responses'; + + /** + * Used when sampling from a model. Dictates the structure of the messages passed + * into the model. Can either be a reference to a prebuilt trajectory (ie, + * `item.input_trajectory`), or a template with variable references to the `item` + * namespace. + */ + input_messages?: Responses.Template | Responses.ItemReference; + + /** + * The name of the model to use for generating completions (e.g. "o3-mini"). + */ + model?: string; + + sampling_params?: Responses.SamplingParams; + } + + export namespace Responses { + export interface FileContent { + /** + * The content of the jsonl file. + */ + content: Array; + + /** + * The type of jsonl source. Always `file_content`. + */ + type: 'file_content'; + } + + export namespace FileContent { + export interface Content { + item: Record; + + sample?: Record; + } + } + + export interface FileID { + /** + * The identifier of the file. + */ + id: string; + + /** + * The type of jsonl source. Always `file_id`. + */ + type: 'file_id'; + } + + /** + * A EvalResponsesSource object describing a run data source configuration. + */ + export interface Responses { + /** + * The type of run data source. Always `responses`. + */ + type: 'responses'; + + /** + * Only include items created after this timestamp (inclusive). This is a query + * parameter used to select responses. + */ + created_after?: number | null; + + /** + * Only include items created before this timestamp (inclusive). This is a query + * parameter used to select responses. + */ + created_before?: number | null; + + /** + * Optional string to search the 'instructions' field. This is a query parameter + * used to select responses. + */ + instructions_search?: string | null; + + /** + * Metadata filter for the responses. This is a query parameter used to select + * responses. + */ + metadata?: unknown | null; + + /** + * The name of the model to find responses for. This is a query parameter used to + * select responses. + */ + model?: string | null; + + /** + * Optional reasoning effort parameter. This is a query parameter used to select + * responses. + */ + reasoning_effort?: Shared.ReasoningEffort | null; + + /** + * Sampling temperature. This is a query parameter used to select responses. + */ + temperature?: number | null; + + /** + * List of tool names. This is a query parameter used to select responses. + */ + tools?: Array | null; + + /** + * Nucleus sampling parameter. This is a query parameter used to select responses. + */ + top_p?: number | null; + + /** + * List of user identifiers. This is a query parameter used to select responses. + */ + users?: Array | null; + } + + export interface Template { + /** + * A list of chat messages forming the prompt or context. May include variable + * references to the `item` namespace, ie {{item.name}}. + */ + template: Array; + + /** + * The type of input messages. Always `template`. + */ + type: 'template'; + } + + export namespace Template { + export interface ChatMessage { + /** + * The content of the message. + */ + content: string; + + /** + * The role of the message (e.g. "system", "assistant", "user"). + */ + role: string; + } + + /** + * A message input to the model with a role indicating instruction following + * hierarchy. Instructions given with the `developer` or `system` role take + * precedence over instructions given with the `user` role. Messages with the + * `assistant` role are presumed to have been generated by the model in previous + * interactions. + */ + export interface EvalItem { + /** + * Text inputs to the model - can contain template strings. + */ + content: string | ResponsesAPI.ResponseInputText | EvalItem.OutputText; + + /** + * The role of the message input. One of `user`, `assistant`, `system`, or + * `developer`. + */ + role: 'user' | 'assistant' | 'system' | 'developer'; + + /** + * The type of the message input. Always `message`. + */ + type?: 'message'; + } + + export namespace EvalItem { + /** + * A text output from the model. + */ + export interface OutputText { + /** + * The text output from the model. + */ + text: string; + + /** + * The type of the output text. Always `output_text`. + */ + type: 'output_text'; + } + } + } + + export interface ItemReference { + /** + * A reference to a variable in the `item` namespace. Ie, "item.name" + */ + item_reference: string; + + /** + * The type of input messages. Always `item_reference`. + */ + type: 'item_reference'; + } + + export interface SamplingParams { + /** + * The maximum number of tokens in the generated output. + */ + max_completion_tokens?: number; + + /** + * A seed value to initialize the randomness, during sampling. + */ + seed?: number; + + /** + * A higher temperature increases randomness in the outputs. + */ + temperature?: number; + + /** + * An alternative to temperature for nucleus sampling; 1.0 includes all tokens. + */ + top_p?: number; + } + } + + export interface PerModelUsage { + /** + * The number of tokens retrieved from cache. + */ + cached_tokens: number; + + /** + * The number of completion tokens generated. + */ + completion_tokens: number; + + /** + * The number of invocations. + */ + invocation_count: number; + + /** + * The name of the model. + */ + model_name: string; + + /** + * The number of prompt tokens used. + */ + prompt_tokens: number; + + /** + * The total number of tokens used. + */ + total_tokens: number; + } + + export interface PerTestingCriteriaResult { + /** + * Number of tests failed for this criteria. + */ + failed: number; + + /** + * Number of tests passed for this criteria. + */ + passed: number; + + /** + * A description of the testing criteria. + */ + testing_criteria: string; + } + + /** + * Counters summarizing the outcomes of the evaluation run. + */ + export interface ResultCounts { + /** + * Number of output items that resulted in an error. + */ + errored: number; + + /** + * Number of output items that failed to pass the evaluation. + */ + failed: number; + + /** + * Number of output items that passed the evaluation. + */ + passed: number; + + /** + * Total number of executed output items. + */ + total: number; + } +} + +/** + * A schema representing an evaluation run. + */ +export interface RunRetrieveResponse { + /** + * Unique identifier for the evaluation run. + */ + id: string; + + /** + * Unix timestamp (in seconds) when the evaluation run was created. + */ + created_at: number; + + /** + * Information about the run's data source. + */ + data_source: + | CreateEvalJSONLRunDataSource + | CreateEvalCompletionsRunDataSource + | RunRetrieveResponse.Responses; + + /** + * An object representing an error response from the Eval API. + */ + error: EvalAPIError; + + /** + * The identifier of the associated evaluation. + */ + eval_id: string; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata: Shared.Metadata | null; + + /** + * The model that is evaluated, if applicable. + */ + model: string; + + /** + * The name of the evaluation run. + */ + name: string; + + /** + * The type of the object. Always "eval.run". + */ + object: 'eval.run'; + + /** + * Usage statistics for each model during the evaluation run. + */ + per_model_usage: Array; + + /** + * Results per testing criteria applied during the evaluation run. + */ + per_testing_criteria_results: Array; + + /** + * The URL to the rendered evaluation run report on the UI dashboard. + */ + report_url: string; + + /** + * Counters summarizing the outcomes of the evaluation run. + */ + result_counts: RunRetrieveResponse.ResultCounts; + + /** + * The status of the evaluation run. + */ + status: string; +} + +export namespace RunRetrieveResponse { + /** + * A ResponsesRunDataSource object describing a model sampling configuration. + */ + export interface Responses { + /** + * Determines what populates the `item` namespace in this run's data source. + */ + source: Responses.FileContent | Responses.FileID | Responses.Responses; + + /** + * The type of run data source. Always `responses`. + */ + type: 'responses'; + + /** + * Used when sampling from a model. Dictates the structure of the messages passed + * into the model. Can either be a reference to a prebuilt trajectory (ie, + * `item.input_trajectory`), or a template with variable references to the `item` + * namespace. + */ + input_messages?: Responses.Template | Responses.ItemReference; + + /** + * The name of the model to use for generating completions (e.g. "o3-mini"). + */ + model?: string; + + sampling_params?: Responses.SamplingParams; + } + + export namespace Responses { + export interface FileContent { + /** + * The content of the jsonl file. + */ + content: Array; + + /** + * The type of jsonl source. Always `file_content`. + */ + type: 'file_content'; + } + + export namespace FileContent { + export interface Content { + item: Record; + + sample?: Record; + } + } + + export interface FileID { + /** + * The identifier of the file. + */ + id: string; + + /** + * The type of jsonl source. Always `file_id`. + */ + type: 'file_id'; + } + + /** + * A EvalResponsesSource object describing a run data source configuration. + */ + export interface Responses { + /** + * The type of run data source. Always `responses`. + */ + type: 'responses'; + + /** + * Only include items created after this timestamp (inclusive). This is a query + * parameter used to select responses. + */ + created_after?: number | null; + + /** + * Only include items created before this timestamp (inclusive). This is a query + * parameter used to select responses. + */ + created_before?: number | null; + + /** + * Optional string to search the 'instructions' field. This is a query parameter + * used to select responses. + */ + instructions_search?: string | null; + + /** + * Metadata filter for the responses. This is a query parameter used to select + * responses. + */ + metadata?: unknown | null; + + /** + * The name of the model to find responses for. This is a query parameter used to + * select responses. + */ + model?: string | null; + + /** + * Optional reasoning effort parameter. This is a query parameter used to select + * responses. + */ + reasoning_effort?: Shared.ReasoningEffort | null; + + /** + * Sampling temperature. This is a query parameter used to select responses. + */ + temperature?: number | null; + + /** + * List of tool names. This is a query parameter used to select responses. + */ + tools?: Array | null; + + /** + * Nucleus sampling parameter. This is a query parameter used to select responses. + */ + top_p?: number | null; + + /** + * List of user identifiers. This is a query parameter used to select responses. + */ + users?: Array | null; + } + + export interface Template { + /** + * A list of chat messages forming the prompt or context. May include variable + * references to the `item` namespace, ie {{item.name}}. + */ + template: Array; + + /** + * The type of input messages. Always `template`. + */ + type: 'template'; + } + + export namespace Template { + export interface ChatMessage { + /** + * The content of the message. + */ + content: string; + + /** + * The role of the message (e.g. "system", "assistant", "user"). + */ + role: string; + } + + /** + * A message input to the model with a role indicating instruction following + * hierarchy. Instructions given with the `developer` or `system` role take + * precedence over instructions given with the `user` role. Messages with the + * `assistant` role are presumed to have been generated by the model in previous + * interactions. + */ + export interface EvalItem { + /** + * Text inputs to the model - can contain template strings. + */ + content: string | ResponsesAPI.ResponseInputText | EvalItem.OutputText; + + /** + * The role of the message input. One of `user`, `assistant`, `system`, or + * `developer`. + */ + role: 'user' | 'assistant' | 'system' | 'developer'; + + /** + * The type of the message input. Always `message`. + */ + type?: 'message'; + } + + export namespace EvalItem { + /** + * A text output from the model. + */ + export interface OutputText { + /** + * The text output from the model. + */ + text: string; + + /** + * The type of the output text. Always `output_text`. + */ + type: 'output_text'; + } + } + } + + export interface ItemReference { + /** + * A reference to a variable in the `item` namespace. Ie, "item.name" + */ + item_reference: string; + + /** + * The type of input messages. Always `item_reference`. + */ + type: 'item_reference'; + } + + export interface SamplingParams { + /** + * The maximum number of tokens in the generated output. + */ + max_completion_tokens?: number; + + /** + * A seed value to initialize the randomness, during sampling. + */ + seed?: number; + + /** + * A higher temperature increases randomness in the outputs. + */ + temperature?: number; + + /** + * An alternative to temperature for nucleus sampling; 1.0 includes all tokens. + */ + top_p?: number; + } + } + + export interface PerModelUsage { + /** + * The number of tokens retrieved from cache. + */ + cached_tokens: number; + + /** + * The number of completion tokens generated. + */ + completion_tokens: number; + + /** + * The number of invocations. + */ + invocation_count: number; + + /** + * The name of the model. + */ + model_name: string; + + /** + * The number of prompt tokens used. + */ + prompt_tokens: number; + + /** + * The total number of tokens used. + */ + total_tokens: number; + } + + export interface PerTestingCriteriaResult { + /** + * Number of tests failed for this criteria. + */ + failed: number; + + /** + * Number of tests passed for this criteria. + */ + passed: number; + + /** + * A description of the testing criteria. + */ + testing_criteria: string; + } + + /** + * Counters summarizing the outcomes of the evaluation run. + */ + export interface ResultCounts { + /** + * Number of output items that resulted in an error. + */ + errored: number; + + /** + * Number of output items that failed to pass the evaluation. + */ + failed: number; + + /** + * Number of output items that passed the evaluation. + */ + passed: number; + + /** + * Total number of executed output items. + */ + total: number; + } +} + +/** + * A schema representing an evaluation run. + */ +export interface RunListResponse { + /** + * Unique identifier for the evaluation run. + */ + id: string; + + /** + * Unix timestamp (in seconds) when the evaluation run was created. + */ + created_at: number; + + /** + * Information about the run's data source. + */ + data_source: CreateEvalJSONLRunDataSource | CreateEvalCompletionsRunDataSource | RunListResponse.Responses; + + /** + * An object representing an error response from the Eval API. + */ + error: EvalAPIError; + + /** + * The identifier of the associated evaluation. + */ + eval_id: string; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata: Shared.Metadata | null; + + /** + * The model that is evaluated, if applicable. + */ + model: string; + + /** + * The name of the evaluation run. + */ + name: string; + + /** + * The type of the object. Always "eval.run". + */ + object: 'eval.run'; + + /** + * Usage statistics for each model during the evaluation run. + */ + per_model_usage: Array; + + /** + * Results per testing criteria applied during the evaluation run. + */ + per_testing_criteria_results: Array; + + /** + * The URL to the rendered evaluation run report on the UI dashboard. + */ + report_url: string; + + /** + * Counters summarizing the outcomes of the evaluation run. + */ + result_counts: RunListResponse.ResultCounts; + + /** + * The status of the evaluation run. + */ + status: string; +} + +export namespace RunListResponse { + /** + * A ResponsesRunDataSource object describing a model sampling configuration. + */ + export interface Responses { + /** + * Determines what populates the `item` namespace in this run's data source. + */ + source: Responses.FileContent | Responses.FileID | Responses.Responses; + + /** + * The type of run data source. Always `responses`. + */ + type: 'responses'; + + /** + * Used when sampling from a model. Dictates the structure of the messages passed + * into the model. Can either be a reference to a prebuilt trajectory (ie, + * `item.input_trajectory`), or a template with variable references to the `item` + * namespace. + */ + input_messages?: Responses.Template | Responses.ItemReference; + + /** + * The name of the model to use for generating completions (e.g. "o3-mini"). + */ + model?: string; + + sampling_params?: Responses.SamplingParams; + } + + export namespace Responses { + export interface FileContent { + /** + * The content of the jsonl file. + */ + content: Array; + + /** + * The type of jsonl source. Always `file_content`. + */ + type: 'file_content'; + } + + export namespace FileContent { + export interface Content { + item: Record; + + sample?: Record; + } + } + + export interface FileID { + /** + * The identifier of the file. + */ + id: string; + + /** + * The type of jsonl source. Always `file_id`. + */ + type: 'file_id'; + } + + /** + * A EvalResponsesSource object describing a run data source configuration. + */ + export interface Responses { + /** + * The type of run data source. Always `responses`. + */ + type: 'responses'; + + /** + * Only include items created after this timestamp (inclusive). This is a query + * parameter used to select responses. + */ + created_after?: number | null; + + /** + * Only include items created before this timestamp (inclusive). This is a query + * parameter used to select responses. + */ + created_before?: number | null; + + /** + * Optional string to search the 'instructions' field. This is a query parameter + * used to select responses. + */ + instructions_search?: string | null; + + /** + * Metadata filter for the responses. This is a query parameter used to select + * responses. + */ + metadata?: unknown | null; + + /** + * The name of the model to find responses for. This is a query parameter used to + * select responses. + */ + model?: string | null; + + /** + * Optional reasoning effort parameter. This is a query parameter used to select + * responses. + */ + reasoning_effort?: Shared.ReasoningEffort | null; + + /** + * Sampling temperature. This is a query parameter used to select responses. + */ + temperature?: number | null; + + /** + * List of tool names. This is a query parameter used to select responses. + */ + tools?: Array | null; + + /** + * Nucleus sampling parameter. This is a query parameter used to select responses. + */ + top_p?: number | null; + + /** + * List of user identifiers. This is a query parameter used to select responses. + */ + users?: Array | null; + } + + export interface Template { + /** + * A list of chat messages forming the prompt or context. May include variable + * references to the `item` namespace, ie {{item.name}}. + */ + template: Array; + + /** + * The type of input messages. Always `template`. + */ + type: 'template'; + } + + export namespace Template { + export interface ChatMessage { + /** + * The content of the message. + */ + content: string; + + /** + * The role of the message (e.g. "system", "assistant", "user"). + */ + role: string; + } + + /** + * A message input to the model with a role indicating instruction following + * hierarchy. Instructions given with the `developer` or `system` role take + * precedence over instructions given with the `user` role. Messages with the + * `assistant` role are presumed to have been generated by the model in previous + * interactions. + */ + export interface EvalItem { + /** + * Text inputs to the model - can contain template strings. + */ + content: string | ResponsesAPI.ResponseInputText | EvalItem.OutputText; + + /** + * The role of the message input. One of `user`, `assistant`, `system`, or + * `developer`. + */ + role: 'user' | 'assistant' | 'system' | 'developer'; + + /** + * The type of the message input. Always `message`. + */ + type?: 'message'; + } + + export namespace EvalItem { + /** + * A text output from the model. + */ + export interface OutputText { + /** + * The text output from the model. + */ + text: string; + + /** + * The type of the output text. Always `output_text`. + */ + type: 'output_text'; + } + } + } + + export interface ItemReference { + /** + * A reference to a variable in the `item` namespace. Ie, "item.name" + */ + item_reference: string; + + /** + * The type of input messages. Always `item_reference`. + */ + type: 'item_reference'; + } + + export interface SamplingParams { + /** + * The maximum number of tokens in the generated output. + */ + max_completion_tokens?: number; + + /** + * A seed value to initialize the randomness, during sampling. + */ + seed?: number; + + /** + * A higher temperature increases randomness in the outputs. + */ + temperature?: number; + + /** + * An alternative to temperature for nucleus sampling; 1.0 includes all tokens. + */ + top_p?: number; + } + } + + export interface PerModelUsage { + /** + * The number of tokens retrieved from cache. + */ + cached_tokens: number; + + /** + * The number of completion tokens generated. + */ + completion_tokens: number; + + /** + * The number of invocations. + */ + invocation_count: number; + + /** + * The name of the model. + */ + model_name: string; + + /** + * The number of prompt tokens used. + */ + prompt_tokens: number; + + /** + * The total number of tokens used. + */ + total_tokens: number; + } + + export interface PerTestingCriteriaResult { + /** + * Number of tests failed for this criteria. + */ + failed: number; + + /** + * Number of tests passed for this criteria. + */ + passed: number; + + /** + * A description of the testing criteria. + */ + testing_criteria: string; + } + + /** + * Counters summarizing the outcomes of the evaluation run. + */ + export interface ResultCounts { + /** + * Number of output items that resulted in an error. + */ + errored: number; + + /** + * Number of output items that failed to pass the evaluation. + */ + failed: number; + + /** + * Number of output items that passed the evaluation. + */ + passed: number; + + /** + * Total number of executed output items. + */ + total: number; + } +} + +export interface RunDeleteResponse { + deleted?: boolean; + + object?: string; + + run_id?: string; +} + +/** + * A schema representing an evaluation run. + */ +export interface RunCancelResponse { + /** + * Unique identifier for the evaluation run. + */ + id: string; + + /** + * Unix timestamp (in seconds) when the evaluation run was created. + */ + created_at: number; + + /** + * Information about the run's data source. + */ + data_source: + | CreateEvalJSONLRunDataSource + | CreateEvalCompletionsRunDataSource + | RunCancelResponse.Responses; + + /** + * An object representing an error response from the Eval API. + */ + error: EvalAPIError; + + /** + * The identifier of the associated evaluation. + */ + eval_id: string; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata: Shared.Metadata | null; + + /** + * The model that is evaluated, if applicable. + */ + model: string; + + /** + * The name of the evaluation run. + */ + name: string; + + /** + * The type of the object. Always "eval.run". + */ + object: 'eval.run'; + + /** + * Usage statistics for each model during the evaluation run. + */ + per_model_usage: Array; + + /** + * Results per testing criteria applied during the evaluation run. + */ + per_testing_criteria_results: Array; + + /** + * The URL to the rendered evaluation run report on the UI dashboard. + */ + report_url: string; + + /** + * Counters summarizing the outcomes of the evaluation run. + */ + result_counts: RunCancelResponse.ResultCounts; + + /** + * The status of the evaluation run. + */ + status: string; +} + +export namespace RunCancelResponse { + /** + * A ResponsesRunDataSource object describing a model sampling configuration. + */ + export interface Responses { + /** + * Determines what populates the `item` namespace in this run's data source. + */ + source: Responses.FileContent | Responses.FileID | Responses.Responses; + + /** + * The type of run data source. Always `responses`. + */ + type: 'responses'; + + /** + * Used when sampling from a model. Dictates the structure of the messages passed + * into the model. Can either be a reference to a prebuilt trajectory (ie, + * `item.input_trajectory`), or a template with variable references to the `item` + * namespace. + */ + input_messages?: Responses.Template | Responses.ItemReference; + + /** + * The name of the model to use for generating completions (e.g. "o3-mini"). + */ + model?: string; + + sampling_params?: Responses.SamplingParams; + } + + export namespace Responses { + export interface FileContent { + /** + * The content of the jsonl file. + */ + content: Array; + + /** + * The type of jsonl source. Always `file_content`. + */ + type: 'file_content'; + } + + export namespace FileContent { + export interface Content { + item: Record; + + sample?: Record; + } + } + + export interface FileID { + /** + * The identifier of the file. + */ + id: string; + + /** + * The type of jsonl source. Always `file_id`. + */ + type: 'file_id'; + } + + /** + * A EvalResponsesSource object describing a run data source configuration. + */ + export interface Responses { + /** + * The type of run data source. Always `responses`. + */ + type: 'responses'; + + /** + * Only include items created after this timestamp (inclusive). This is a query + * parameter used to select responses. + */ + created_after?: number | null; + + /** + * Only include items created before this timestamp (inclusive). This is a query + * parameter used to select responses. + */ + created_before?: number | null; + + /** + * Optional string to search the 'instructions' field. This is a query parameter + * used to select responses. + */ + instructions_search?: string | null; + + /** + * Metadata filter for the responses. This is a query parameter used to select + * responses. + */ + metadata?: unknown | null; + + /** + * The name of the model to find responses for. This is a query parameter used to + * select responses. + */ + model?: string | null; + + /** + * Optional reasoning effort parameter. This is a query parameter used to select + * responses. + */ + reasoning_effort?: Shared.ReasoningEffort | null; + + /** + * Sampling temperature. This is a query parameter used to select responses. + */ + temperature?: number | null; + + /** + * List of tool names. This is a query parameter used to select responses. + */ + tools?: Array | null; + + /** + * Nucleus sampling parameter. This is a query parameter used to select responses. + */ + top_p?: number | null; + + /** + * List of user identifiers. This is a query parameter used to select responses. + */ + users?: Array | null; + } + + export interface Template { + /** + * A list of chat messages forming the prompt or context. May include variable + * references to the `item` namespace, ie {{item.name}}. + */ + template: Array; + + /** + * The type of input messages. Always `template`. + */ + type: 'template'; + } + + export namespace Template { + export interface ChatMessage { + /** + * The content of the message. + */ + content: string; + + /** + * The role of the message (e.g. "system", "assistant", "user"). + */ + role: string; + } + + /** + * A message input to the model with a role indicating instruction following + * hierarchy. Instructions given with the `developer` or `system` role take + * precedence over instructions given with the `user` role. Messages with the + * `assistant` role are presumed to have been generated by the model in previous + * interactions. + */ + export interface EvalItem { + /** + * Text inputs to the model - can contain template strings. + */ + content: string | ResponsesAPI.ResponseInputText | EvalItem.OutputText; + + /** + * The role of the message input. One of `user`, `assistant`, `system`, or + * `developer`. + */ + role: 'user' | 'assistant' | 'system' | 'developer'; + + /** + * The type of the message input. Always `message`. + */ + type?: 'message'; + } + + export namespace EvalItem { + /** + * A text output from the model. + */ + export interface OutputText { + /** + * The text output from the model. + */ + text: string; + + /** + * The type of the output text. Always `output_text`. + */ + type: 'output_text'; + } + } + } + + export interface ItemReference { + /** + * A reference to a variable in the `item` namespace. Ie, "item.name" + */ + item_reference: string; + + /** + * The type of input messages. Always `item_reference`. + */ + type: 'item_reference'; + } + + export interface SamplingParams { + /** + * The maximum number of tokens in the generated output. + */ + max_completion_tokens?: number; + + /** + * A seed value to initialize the randomness, during sampling. + */ + seed?: number; + + /** + * A higher temperature increases randomness in the outputs. + */ + temperature?: number; + + /** + * An alternative to temperature for nucleus sampling; 1.0 includes all tokens. + */ + top_p?: number; + } + } + + export interface PerModelUsage { + /** + * The number of tokens retrieved from cache. + */ + cached_tokens: number; + + /** + * The number of completion tokens generated. + */ + completion_tokens: number; + + /** + * The number of invocations. + */ + invocation_count: number; + + /** + * The name of the model. + */ + model_name: string; + + /** + * The number of prompt tokens used. + */ + prompt_tokens: number; + + /** + * The total number of tokens used. + */ + total_tokens: number; + } + + export interface PerTestingCriteriaResult { + /** + * Number of tests failed for this criteria. + */ + failed: number; + + /** + * Number of tests passed for this criteria. + */ + passed: number; + + /** + * A description of the testing criteria. + */ + testing_criteria: string; + } + + /** + * Counters summarizing the outcomes of the evaluation run. + */ + export interface ResultCounts { + /** + * Number of output items that resulted in an error. + */ + errored: number; + + /** + * Number of output items that failed to pass the evaluation. + */ + failed: number; + + /** + * Number of output items that passed the evaluation. + */ + passed: number; + + /** + * Total number of executed output items. + */ + total: number; + } +} + +export interface RunCreateParams { + /** + * Details about the run's data source. + */ + data_source: + | CreateEvalJSONLRunDataSource + | CreateEvalCompletionsRunDataSource + | RunCreateParams.CreateEvalResponsesRunDataSource; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + + /** + * The name of the run. + */ + name?: string; +} + +export namespace RunCreateParams { + /** + * A ResponsesRunDataSource object describing a model sampling configuration. + */ + export interface CreateEvalResponsesRunDataSource { + /** + * Determines what populates the `item` namespace in this run's data source. + */ + source: + | CreateEvalResponsesRunDataSource.FileContent + | CreateEvalResponsesRunDataSource.FileID + | CreateEvalResponsesRunDataSource.Responses; + + /** + * The type of run data source. Always `responses`. + */ + type: 'responses'; + + /** + * Used when sampling from a model. Dictates the structure of the messages passed + * into the model. Can either be a reference to a prebuilt trajectory (ie, + * `item.input_trajectory`), or a template with variable references to the `item` + * namespace. + */ + input_messages?: + | CreateEvalResponsesRunDataSource.Template + | CreateEvalResponsesRunDataSource.ItemReference; + + /** + * The name of the model to use for generating completions (e.g. "o3-mini"). + */ + model?: string; + + sampling_params?: CreateEvalResponsesRunDataSource.SamplingParams; + } + + export namespace CreateEvalResponsesRunDataSource { + export interface FileContent { + /** + * The content of the jsonl file. + */ + content: Array; + + /** + * The type of jsonl source. Always `file_content`. + */ + type: 'file_content'; + } + + export namespace FileContent { + export interface Content { + item: Record; + + sample?: Record; + } + } + + export interface FileID { + /** + * The identifier of the file. + */ + id: string; + + /** + * The type of jsonl source. Always `file_id`. + */ + type: 'file_id'; + } + + /** + * A EvalResponsesSource object describing a run data source configuration. + */ + export interface Responses { + /** + * The type of run data source. Always `responses`. + */ + type: 'responses'; + + /** + * Only include items created after this timestamp (inclusive). This is a query + * parameter used to select responses. + */ + created_after?: number | null; + + /** + * Only include items created before this timestamp (inclusive). This is a query + * parameter used to select responses. + */ + created_before?: number | null; + + /** + * Optional string to search the 'instructions' field. This is a query parameter + * used to select responses. + */ + instructions_search?: string | null; + + /** + * Metadata filter for the responses. This is a query parameter used to select + * responses. + */ + metadata?: unknown | null; + + /** + * The name of the model to find responses for. This is a query parameter used to + * select responses. + */ + model?: string | null; + + /** + * Optional reasoning effort parameter. This is a query parameter used to select + * responses. + */ + reasoning_effort?: Shared.ReasoningEffort | null; + + /** + * Sampling temperature. This is a query parameter used to select responses. + */ + temperature?: number | null; + + /** + * List of tool names. This is a query parameter used to select responses. + */ + tools?: Array | null; + + /** + * Nucleus sampling parameter. This is a query parameter used to select responses. + */ + top_p?: number | null; + + /** + * List of user identifiers. This is a query parameter used to select responses. + */ + users?: Array | null; + } + + export interface Template { + /** + * A list of chat messages forming the prompt or context. May include variable + * references to the `item` namespace, ie {{item.name}}. + */ + template: Array; + + /** + * The type of input messages. Always `template`. + */ + type: 'template'; + } + + export namespace Template { + export interface ChatMessage { + /** + * The content of the message. + */ + content: string; + + /** + * The role of the message (e.g. "system", "assistant", "user"). + */ + role: string; + } + + /** + * A message input to the model with a role indicating instruction following + * hierarchy. Instructions given with the `developer` or `system` role take + * precedence over instructions given with the `user` role. Messages with the + * `assistant` role are presumed to have been generated by the model in previous + * interactions. + */ + export interface EvalItem { + /** + * Text inputs to the model - can contain template strings. + */ + content: string | ResponsesAPI.ResponseInputText | EvalItem.OutputText; + + /** + * The role of the message input. One of `user`, `assistant`, `system`, or + * `developer`. + */ + role: 'user' | 'assistant' | 'system' | 'developer'; + + /** + * The type of the message input. Always `message`. + */ + type?: 'message'; + } + + export namespace EvalItem { + /** + * A text output from the model. + */ + export interface OutputText { + /** + * The text output from the model. + */ + text: string; + + /** + * The type of the output text. Always `output_text`. + */ + type: 'output_text'; + } + } + } + + export interface ItemReference { + /** + * A reference to a variable in the `item` namespace. Ie, "item.name" + */ + item_reference: string; + + /** + * The type of input messages. Always `item_reference`. + */ + type: 'item_reference'; + } + + export interface SamplingParams { + /** + * The maximum number of tokens in the generated output. + */ + max_completion_tokens?: number; + + /** + * A seed value to initialize the randomness, during sampling. + */ + seed?: number; + + /** + * A higher temperature increases randomness in the outputs. + */ + temperature?: number; + + /** + * An alternative to temperature for nucleus sampling; 1.0 includes all tokens. + */ + top_p?: number; + } + } +} + +export interface RunListParams extends CursorPageParams { + /** + * Sort order for runs by timestamp. Use `asc` for ascending order or `desc` for + * descending order. Defaults to `asc`. + */ + order?: 'asc' | 'desc'; + + /** + * Filter runs by status. One of `queued` | `in_progress` | `failed` | `completed` + * | `canceled`. + */ + status?: 'queued' | 'in_progress' | 'completed' | 'canceled' | 'failed'; +} + +Runs.RunListResponsesPage = RunListResponsesPage; +Runs.OutputItems = OutputItems; +Runs.OutputItemListResponsesPage = OutputItemListResponsesPage; + +export declare namespace Runs { + export { + type CreateEvalCompletionsRunDataSource as CreateEvalCompletionsRunDataSource, + type CreateEvalJSONLRunDataSource as CreateEvalJSONLRunDataSource, + type EvalAPIError as EvalAPIError, + type RunCreateResponse as RunCreateResponse, + type RunRetrieveResponse as RunRetrieveResponse, + type RunListResponse as RunListResponse, + type RunDeleteResponse as RunDeleteResponse, + type RunCancelResponse as RunCancelResponse, + RunListResponsesPage as RunListResponsesPage, + type RunCreateParams as RunCreateParams, + type RunListParams as RunListParams, + }; + + export { + OutputItems as OutputItems, + type OutputItemRetrieveResponse as OutputItemRetrieveResponse, + type OutputItemListResponse as OutputItemListResponse, + OutputItemListResponsesPage as OutputItemListResponsesPage, + type OutputItemListParams as OutputItemListParams, + }; +} diff --git a/src/resources/files.ts b/src/resources/files.ts new file mode 100644 index 000000000..723ac4cde --- /dev/null +++ b/src/resources/files.ts @@ -0,0 +1,236 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../resource'; +import { isRequestOptions } from '../core'; +import { sleep } from '../core'; +import { APIConnectionTimeoutError } from '../error'; +import * as Core from '../core'; +import { CursorPage, type CursorPageParams } from '../pagination'; +import { type Response } from '../_shims/index'; + +export class Files extends APIResource { + /** + * Upload a file that can be used across various endpoints. Individual files can be + * up to 512 MB, and the size of all files uploaded by one organization can be up + * to 100 GB. + * + * The Assistants API supports files up to 2 million tokens and of specific file + * types. See the + * [Assistants Tools guide](https://platform.openai.com/docs/assistants/tools) for + * details. + * + * The Fine-tuning API only supports `.jsonl` files. The input also has certain + * required formats for fine-tuning + * [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input) or + * [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input) + * models. + * + * The Batch API only supports `.jsonl` files up to 200 MB in size. The input also + * has a specific required + * [format](https://platform.openai.com/docs/api-reference/batch/request-input). + * + * Please [contact us](https://help.openai.com/) if you need to increase these + * storage limits. + */ + create(body: FileCreateParams, options?: Core.RequestOptions): Core.APIPromise { + return this._client.post('/files', Core.multipartFormRequestOptions({ body, ...options })); + } + + /** + * Returns information about a specific file. + */ + retrieve(fileId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.get(`/files/${fileId}`, options); + } + + /** + * Returns a list of files. + */ + list(query?: FileListParams, options?: Core.RequestOptions): Core.PagePromise; + list(options?: Core.RequestOptions): Core.PagePromise; + list( + query: FileListParams | Core.RequestOptions = {}, + options?: Core.RequestOptions, + ): Core.PagePromise { + if (isRequestOptions(query)) { + return this.list({}, query); + } + return this._client.getAPIList('/files', FileObjectsPage, { query, ...options }); + } + + /** + * Delete a file. + */ + del(fileId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.delete(`/files/${fileId}`, options); + } + + /** + * Returns the contents of the specified file. + */ + content(fileId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.get(`/files/${fileId}/content`, { + ...options, + headers: { Accept: 'application/binary', ...options?.headers }, + __binaryResponse: true, + }); + } + + /** + * Returns the contents of the specified file. + * + * @deprecated The `.content()` method should be used instead + */ + retrieveContent(fileId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.get(`/files/${fileId}/content`, options); + } + + /** + * Waits for the given file to be processed, default timeout is 30 mins. + */ + async waitForProcessing( + id: string, + { pollInterval = 5000, maxWait = 30 * 60 * 1000 }: { pollInterval?: number; maxWait?: number } = {}, + ): Promise { + const TERMINAL_STATES = new Set(['processed', 'error', 'deleted']); + + const start = Date.now(); + let file = await this.retrieve(id); + + while (!file.status || !TERMINAL_STATES.has(file.status)) { + await sleep(pollInterval); + + file = await this.retrieve(id); + if (Date.now() - start > maxWait) { + throw new APIConnectionTimeoutError({ + message: `Giving up on waiting for file ${id} to finish processing after ${maxWait} milliseconds.`, + }); + } + } + + return file; + } +} + +export class FileObjectsPage extends CursorPage {} + +export type FileContent = string; + +export interface FileDeleted { + id: string; + + deleted: boolean; + + object: 'file'; +} + +/** + * The `File` object represents a document that has been uploaded to OpenAI. + */ +export interface FileObject { + /** + * The file identifier, which can be referenced in the API endpoints. + */ + id: string; + + /** + * The size of the file, in bytes. + */ + bytes: number; + + /** + * The Unix timestamp (in seconds) for when the file was created. + */ + created_at: number; + + /** + * The name of the file. + */ + filename: string; + + /** + * The object type, which is always `file`. + */ + object: 'file'; + + /** + * The intended purpose of the file. Supported values are `assistants`, + * `assistants_output`, `batch`, `batch_output`, `fine-tune`, `fine-tune-results` + * and `vision`. + */ + purpose: + | 'assistants' + | 'assistants_output' + | 'batch' + | 'batch_output' + | 'fine-tune' + | 'fine-tune-results' + | 'vision'; + + /** + * @deprecated Deprecated. The current status of the file, which can be either + * `uploaded`, `processed`, or `error`. + */ + status: 'uploaded' | 'processed' | 'error'; + + /** + * The Unix timestamp (in seconds) for when the file will expire. + */ + expires_at?: number; + + /** + * @deprecated Deprecated. For details on why a fine-tuning training file failed + * validation, see the `error` field on `fine_tuning.job`. + */ + status_details?: string; +} + +/** + * The intended purpose of the uploaded file. One of: - `assistants`: Used in the + * Assistants API - `batch`: Used in the Batch API - `fine-tune`: Used for + * fine-tuning - `vision`: Images used for vision fine-tuning - `user_data`: + * Flexible file type for any purpose - `evals`: Used for eval data sets + */ +export type FilePurpose = 'assistants' | 'batch' | 'fine-tune' | 'vision' | 'user_data' | 'evals'; + +export interface FileCreateParams { + /** + * The File object (not file name) to be uploaded. + */ + file: Core.Uploadable; + + /** + * The intended purpose of the uploaded file. One of: - `assistants`: Used in the + * Assistants API - `batch`: Used in the Batch API - `fine-tune`: Used for + * fine-tuning - `vision`: Images used for vision fine-tuning - `user_data`: + * Flexible file type for any purpose - `evals`: Used for eval data sets + */ + purpose: FilePurpose; +} + +export interface FileListParams extends CursorPageParams { + /** + * Sort order by the `created_at` timestamp of the objects. `asc` for ascending + * order and `desc` for descending order. + */ + order?: 'asc' | 'desc'; + + /** + * Only return files with the given purpose. + */ + purpose?: string; +} + +Files.FileObjectsPage = FileObjectsPage; + +export declare namespace Files { + export { + type FileContent as FileContent, + type FileDeleted as FileDeleted, + type FileObject as FileObject, + type FilePurpose as FilePurpose, + FileObjectsPage as FileObjectsPage, + type FileCreateParams as FileCreateParams, + type FileListParams as FileListParams, + }; +} diff --git a/src/resources/fine-tuning/alpha.ts b/src/resources/fine-tuning/alpha.ts new file mode 100644 index 000000000..446b6431e --- /dev/null +++ b/src/resources/fine-tuning/alpha.ts @@ -0,0 +1,3 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +export * from './alpha/index'; diff --git a/src/resources/fine-tuning/alpha/alpha.ts b/src/resources/fine-tuning/alpha/alpha.ts new file mode 100644 index 000000000..77d695195 --- /dev/null +++ b/src/resources/fine-tuning/alpha/alpha.ts @@ -0,0 +1,27 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../../resource'; +import * as GradersAPI from './graders'; +import { + GraderRunParams, + GraderRunResponse, + GraderValidateParams, + GraderValidateResponse, + Graders, +} from './graders'; + +export class Alpha extends APIResource { + graders: GradersAPI.Graders = new GradersAPI.Graders(this._client); +} + +Alpha.Graders = Graders; + +export declare namespace Alpha { + export { + Graders as Graders, + type GraderRunResponse as GraderRunResponse, + type GraderValidateResponse as GraderValidateResponse, + type GraderRunParams as GraderRunParams, + type GraderValidateParams as GraderValidateParams, + }; +} diff --git a/src/resources/fine-tuning/alpha/graders.ts b/src/resources/fine-tuning/alpha/graders.ts new file mode 100644 index 000000000..a9ef57f71 --- /dev/null +++ b/src/resources/fine-tuning/alpha/graders.ts @@ -0,0 +1,168 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../../resource'; +import * as Core from '../../../core'; +import * as GraderModelsAPI from '../../graders/grader-models'; + +export class Graders extends APIResource { + /** + * Run a grader. + * + * @example + * ```ts + * const response = await client.fineTuning.alpha.graders.run({ + * grader: { + * input: 'input', + * name: 'name', + * operation: 'eq', + * reference: 'reference', + * type: 'string_check', + * }, + * model_sample: 'model_sample', + * reference_answer: 'string', + * }); + * ``` + */ + run(body: GraderRunParams, options?: Core.RequestOptions): Core.APIPromise { + return this._client.post('/fine_tuning/alpha/graders/run', { body, ...options }); + } + + /** + * Validate a grader. + * + * @example + * ```ts + * const response = + * await client.fineTuning.alpha.graders.validate({ + * grader: { + * input: 'input', + * name: 'name', + * operation: 'eq', + * reference: 'reference', + * type: 'string_check', + * }, + * }); + * ``` + */ + validate( + body: GraderValidateParams, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this._client.post('/fine_tuning/alpha/graders/validate', { body, ...options }); + } +} + +export interface GraderRunResponse { + metadata: GraderRunResponse.Metadata; + + model_grader_token_usage_per_model: Record; + + reward: number; + + sub_rewards: Record; +} + +export namespace GraderRunResponse { + export interface Metadata { + errors: Metadata.Errors; + + execution_time: number; + + name: string; + + sampled_model_name: string | null; + + scores: Record; + + token_usage: number | null; + + type: string; + } + + export namespace Metadata { + export interface Errors { + formula_parse_error: boolean; + + invalid_variable_error: boolean; + + model_grader_parse_error: boolean; + + model_grader_refusal_error: boolean; + + model_grader_server_error: boolean; + + model_grader_server_error_details: string | null; + + other_error: boolean; + + python_grader_runtime_error: boolean; + + python_grader_runtime_error_details: string | null; + + python_grader_server_error: boolean; + + python_grader_server_error_type: string | null; + + sample_parse_error: boolean; + + truncated_observation_error: boolean; + + unresponsive_reward_error: boolean; + } + } +} + +export interface GraderValidateResponse { + /** + * The grader used for the fine-tuning job. + */ + grader?: + | GraderModelsAPI.StringCheckGrader + | GraderModelsAPI.TextSimilarityGrader + | GraderModelsAPI.PythonGrader + | GraderModelsAPI.ScoreModelGrader + | GraderModelsAPI.MultiGrader; +} + +export interface GraderRunParams { + /** + * The grader used for the fine-tuning job. + */ + grader: + | GraderModelsAPI.StringCheckGrader + | GraderModelsAPI.TextSimilarityGrader + | GraderModelsAPI.PythonGrader + | GraderModelsAPI.ScoreModelGrader + | GraderModelsAPI.MultiGrader; + + /** + * The model sample to be evaluated. + */ + model_sample: string; + + /** + * The reference answer for the evaluation. + */ + reference_answer: string | unknown | Array | number; +} + +export interface GraderValidateParams { + /** + * The grader used for the fine-tuning job. + */ + grader: + | GraderModelsAPI.StringCheckGrader + | GraderModelsAPI.TextSimilarityGrader + | GraderModelsAPI.PythonGrader + | GraderModelsAPI.ScoreModelGrader + | GraderModelsAPI.MultiGrader; +} + +export declare namespace Graders { + export { + type GraderRunResponse as GraderRunResponse, + type GraderValidateResponse as GraderValidateResponse, + type GraderRunParams as GraderRunParams, + type GraderValidateParams as GraderValidateParams, + }; +} diff --git a/src/resources/fine-tuning/alpha/index.ts b/src/resources/fine-tuning/alpha/index.ts new file mode 100644 index 000000000..47b229bc3 --- /dev/null +++ b/src/resources/fine-tuning/alpha/index.ts @@ -0,0 +1,10 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +export { Alpha } from './alpha'; +export { + Graders, + type GraderRunResponse, + type GraderValidateResponse, + type GraderRunParams, + type GraderValidateParams, +} from './graders'; diff --git a/src/resources/fine-tuning/checkpoints.ts b/src/resources/fine-tuning/checkpoints.ts new file mode 100644 index 000000000..eb09063f6 --- /dev/null +++ b/src/resources/fine-tuning/checkpoints.ts @@ -0,0 +1,3 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +export * from './checkpoints/index'; diff --git a/src/resources/fine-tuning/checkpoints/checkpoints.ts b/src/resources/fine-tuning/checkpoints/checkpoints.ts new file mode 100644 index 000000000..08422aa64 --- /dev/null +++ b/src/resources/fine-tuning/checkpoints/checkpoints.ts @@ -0,0 +1,32 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../../resource'; +import * as PermissionsAPI from './permissions'; +import { + PermissionCreateParams, + PermissionCreateResponse, + PermissionCreateResponsesPage, + PermissionDeleteResponse, + PermissionRetrieveParams, + PermissionRetrieveResponse, + Permissions, +} from './permissions'; + +export class Checkpoints extends APIResource { + permissions: PermissionsAPI.Permissions = new PermissionsAPI.Permissions(this._client); +} + +Checkpoints.Permissions = Permissions; +Checkpoints.PermissionCreateResponsesPage = PermissionCreateResponsesPage; + +export declare namespace Checkpoints { + export { + Permissions as Permissions, + type PermissionCreateResponse as PermissionCreateResponse, + type PermissionRetrieveResponse as PermissionRetrieveResponse, + type PermissionDeleteResponse as PermissionDeleteResponse, + PermissionCreateResponsesPage as PermissionCreateResponsesPage, + type PermissionCreateParams as PermissionCreateParams, + type PermissionRetrieveParams as PermissionRetrieveParams, + }; +} diff --git a/src/resources/fine-tuning/checkpoints/index.ts b/src/resources/fine-tuning/checkpoints/index.ts new file mode 100644 index 000000000..51d1af9cf --- /dev/null +++ b/src/resources/fine-tuning/checkpoints/index.ts @@ -0,0 +1,12 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +export { Checkpoints } from './checkpoints'; +export { + PermissionCreateResponsesPage, + Permissions, + type PermissionCreateResponse, + type PermissionRetrieveResponse, + type PermissionDeleteResponse, + type PermissionCreateParams, + type PermissionRetrieveParams, +} from './permissions'; diff --git a/src/resources/fine-tuning/checkpoints/permissions.ts b/src/resources/fine-tuning/checkpoints/permissions.ts new file mode 100644 index 000000000..dc25bab7f --- /dev/null +++ b/src/resources/fine-tuning/checkpoints/permissions.ts @@ -0,0 +1,230 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../../resource'; +import { isRequestOptions } from '../../../core'; +import * as Core from '../../../core'; +import { Page } from '../../../pagination'; + +export class Permissions extends APIResource { + /** + * **NOTE:** Calling this endpoint requires an [admin API key](../admin-api-keys). + * + * This enables organization owners to share fine-tuned models with other projects + * in their organization. + * + * @example + * ```ts + * // Automatically fetches more pages as needed. + * for await (const permissionCreateResponse of client.fineTuning.checkpoints.permissions.create( + * 'ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd', + * { project_ids: ['string'] }, + * )) { + * // ... + * } + * ``` + */ + create( + fineTunedModelCheckpoint: string, + body: PermissionCreateParams, + options?: Core.RequestOptions, + ): Core.PagePromise { + return this._client.getAPIList( + `/fine_tuning/checkpoints/${fineTunedModelCheckpoint}/permissions`, + PermissionCreateResponsesPage, + { body, method: 'post', ...options }, + ); + } + + /** + * **NOTE:** This endpoint requires an [admin API key](../admin-api-keys). + * + * Organization owners can use this endpoint to view all permissions for a + * fine-tuned model checkpoint. + * + * @example + * ```ts + * const permission = + * await client.fineTuning.checkpoints.permissions.retrieve( + * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F', + * ); + * ``` + */ + retrieve( + fineTunedModelCheckpoint: string, + query?: PermissionRetrieveParams, + options?: Core.RequestOptions, + ): Core.APIPromise; + retrieve( + fineTunedModelCheckpoint: string, + options?: Core.RequestOptions, + ): Core.APIPromise; + retrieve( + fineTunedModelCheckpoint: string, + query: PermissionRetrieveParams | Core.RequestOptions = {}, + options?: Core.RequestOptions, + ): Core.APIPromise { + if (isRequestOptions(query)) { + return this.retrieve(fineTunedModelCheckpoint, {}, query); + } + return this._client.get(`/fine_tuning/checkpoints/${fineTunedModelCheckpoint}/permissions`, { + query, + ...options, + }); + } + + /** + * **NOTE:** This endpoint requires an [admin API key](../admin-api-keys). + * + * Organization owners can use this endpoint to delete a permission for a + * fine-tuned model checkpoint. + * + * @example + * ```ts + * const permission = + * await client.fineTuning.checkpoints.permissions.del( + * 'ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd', + * 'cp_zc4Q7MP6XxulcVzj4MZdwsAB', + * ); + * ``` + */ + del( + fineTunedModelCheckpoint: string, + permissionId: string, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this._client.delete( + `/fine_tuning/checkpoints/${fineTunedModelCheckpoint}/permissions/${permissionId}`, + options, + ); + } +} + +/** + * Note: no pagination actually occurs yet, this is for forwards-compatibility. + */ +export class PermissionCreateResponsesPage extends Page {} + +/** + * The `checkpoint.permission` object represents a permission for a fine-tuned + * model checkpoint. + */ +export interface PermissionCreateResponse { + /** + * The permission identifier, which can be referenced in the API endpoints. + */ + id: string; + + /** + * The Unix timestamp (in seconds) for when the permission was created. + */ + created_at: number; + + /** + * The object type, which is always "checkpoint.permission". + */ + object: 'checkpoint.permission'; + + /** + * The project identifier that the permission is for. + */ + project_id: string; +} + +export interface PermissionRetrieveResponse { + data: Array; + + has_more: boolean; + + object: 'list'; + + first_id?: string | null; + + last_id?: string | null; +} + +export namespace PermissionRetrieveResponse { + /** + * The `checkpoint.permission` object represents a permission for a fine-tuned + * model checkpoint. + */ + export interface Data { + /** + * The permission identifier, which can be referenced in the API endpoints. + */ + id: string; + + /** + * The Unix timestamp (in seconds) for when the permission was created. + */ + created_at: number; + + /** + * The object type, which is always "checkpoint.permission". + */ + object: 'checkpoint.permission'; + + /** + * The project identifier that the permission is for. + */ + project_id: string; + } +} + +export interface PermissionDeleteResponse { + /** + * The ID of the fine-tuned model checkpoint permission that was deleted. + */ + id: string; + + /** + * Whether the fine-tuned model checkpoint permission was successfully deleted. + */ + deleted: boolean; + + /** + * The object type, which is always "checkpoint.permission". + */ + object: 'checkpoint.permission'; +} + +export interface PermissionCreateParams { + /** + * The project identifiers to grant access to. + */ + project_ids: Array; +} + +export interface PermissionRetrieveParams { + /** + * Identifier for the last permission ID from the previous pagination request. + */ + after?: string; + + /** + * Number of permissions to retrieve. + */ + limit?: number; + + /** + * The order in which to retrieve permissions. + */ + order?: 'ascending' | 'descending'; + + /** + * The ID of the project to get permissions for. + */ + project_id?: string; +} + +Permissions.PermissionCreateResponsesPage = PermissionCreateResponsesPage; + +export declare namespace Permissions { + export { + type PermissionCreateResponse as PermissionCreateResponse, + type PermissionRetrieveResponse as PermissionRetrieveResponse, + type PermissionDeleteResponse as PermissionDeleteResponse, + PermissionCreateResponsesPage as PermissionCreateResponsesPage, + type PermissionCreateParams as PermissionCreateParams, + type PermissionRetrieveParams as PermissionRetrieveParams, + }; +} diff --git a/src/resources/fine-tuning/fine-tuning.ts b/src/resources/fine-tuning/fine-tuning.ts new file mode 100644 index 000000000..8fb54983b --- /dev/null +++ b/src/resources/fine-tuning/fine-tuning.ts @@ -0,0 +1,75 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../resource'; +import * as MethodsAPI from './methods'; +import { + DpoHyperparameters, + DpoMethod, + Methods, + ReinforcementHyperparameters, + ReinforcementMethod, + SupervisedHyperparameters, + SupervisedMethod, +} from './methods'; +import * as AlphaAPI from './alpha/alpha'; +import { Alpha } from './alpha/alpha'; +import * as CheckpointsAPI from './checkpoints/checkpoints'; +import { Checkpoints } from './checkpoints/checkpoints'; +import * as JobsAPI from './jobs/jobs'; +import { + FineTuningJob, + FineTuningJobEvent, + FineTuningJobEventsPage, + FineTuningJobIntegration, + FineTuningJobWandbIntegration, + FineTuningJobWandbIntegrationObject, + FineTuningJobsPage, + JobCreateParams, + JobListEventsParams, + JobListParams, + Jobs, +} from './jobs/jobs'; + +export class FineTuning extends APIResource { + methods: MethodsAPI.Methods = new MethodsAPI.Methods(this._client); + jobs: JobsAPI.Jobs = new JobsAPI.Jobs(this._client); + checkpoints: CheckpointsAPI.Checkpoints = new CheckpointsAPI.Checkpoints(this._client); + alpha: AlphaAPI.Alpha = new AlphaAPI.Alpha(this._client); +} + +FineTuning.Methods = Methods; +FineTuning.Jobs = Jobs; +FineTuning.FineTuningJobsPage = FineTuningJobsPage; +FineTuning.FineTuningJobEventsPage = FineTuningJobEventsPage; +FineTuning.Checkpoints = Checkpoints; +FineTuning.Alpha = Alpha; + +export declare namespace FineTuning { + export { + Methods as Methods, + type DpoHyperparameters as DpoHyperparameters, + type DpoMethod as DpoMethod, + type ReinforcementHyperparameters as ReinforcementHyperparameters, + type ReinforcementMethod as ReinforcementMethod, + type SupervisedHyperparameters as SupervisedHyperparameters, + type SupervisedMethod as SupervisedMethod, + }; + + export { + Jobs as Jobs, + type FineTuningJob as FineTuningJob, + type FineTuningJobEvent as FineTuningJobEvent, + type FineTuningJobIntegration as FineTuningJobIntegration, + type FineTuningJobWandbIntegration as FineTuningJobWandbIntegration, + type FineTuningJobWandbIntegrationObject as FineTuningJobWandbIntegrationObject, + FineTuningJobsPage as FineTuningJobsPage, + FineTuningJobEventsPage as FineTuningJobEventsPage, + type JobCreateParams as JobCreateParams, + type JobListParams as JobListParams, + type JobListEventsParams as JobListEventsParams, + }; + + export { Checkpoints as Checkpoints }; + + export { Alpha as Alpha }; +} diff --git a/src/resources/fine-tuning/index.ts b/src/resources/fine-tuning/index.ts new file mode 100644 index 000000000..878ac402d --- /dev/null +++ b/src/resources/fine-tuning/index.ts @@ -0,0 +1,27 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +export { Alpha } from './alpha/index'; +export { Checkpoints } from './checkpoints/index'; +export { FineTuning } from './fine-tuning'; +export { + FineTuningJobsPage, + FineTuningJobEventsPage, + Jobs, + type FineTuningJob, + type FineTuningJobEvent, + type FineTuningJobIntegration, + type FineTuningJobWandbIntegration, + type FineTuningJobWandbIntegrationObject, + type JobCreateParams, + type JobListParams, + type JobListEventsParams, +} from './jobs/index'; +export { + Methods, + type DpoHyperparameters, + type DpoMethod, + type ReinforcementHyperparameters, + type ReinforcementMethod, + type SupervisedHyperparameters, + type SupervisedMethod, +} from './methods'; diff --git a/src/resources/fine-tuning/jobs/checkpoints.ts b/src/resources/fine-tuning/jobs/checkpoints.ts new file mode 100644 index 000000000..10902e715 --- /dev/null +++ b/src/resources/fine-tuning/jobs/checkpoints.ts @@ -0,0 +1,121 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../../resource'; +import { isRequestOptions } from '../../../core'; +import * as Core from '../../../core'; +import { CursorPage, type CursorPageParams } from '../../../pagination'; + +export class Checkpoints extends APIResource { + /** + * List checkpoints for a fine-tuning job. + * + * @example + * ```ts + * // Automatically fetches more pages as needed. + * for await (const fineTuningJobCheckpoint of client.fineTuning.jobs.checkpoints.list( + * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F', + * )) { + * // ... + * } + * ``` + */ + list( + fineTuningJobId: string, + query?: CheckpointListParams, + options?: Core.RequestOptions, + ): Core.PagePromise; + list( + fineTuningJobId: string, + options?: Core.RequestOptions, + ): Core.PagePromise; + list( + fineTuningJobId: string, + query: CheckpointListParams | Core.RequestOptions = {}, + options?: Core.RequestOptions, + ): Core.PagePromise { + if (isRequestOptions(query)) { + return this.list(fineTuningJobId, {}, query); + } + return this._client.getAPIList( + `/fine_tuning/jobs/${fineTuningJobId}/checkpoints`, + FineTuningJobCheckpointsPage, + { query, ...options }, + ); + } +} + +export class FineTuningJobCheckpointsPage extends CursorPage {} + +/** + * The `fine_tuning.job.checkpoint` object represents a model checkpoint for a + * fine-tuning job that is ready to use. + */ +export interface FineTuningJobCheckpoint { + /** + * The checkpoint identifier, which can be referenced in the API endpoints. + */ + id: string; + + /** + * The Unix timestamp (in seconds) for when the checkpoint was created. + */ + created_at: number; + + /** + * The name of the fine-tuned checkpoint model that is created. + */ + fine_tuned_model_checkpoint: string; + + /** + * The name of the fine-tuning job that this checkpoint was created from. + */ + fine_tuning_job_id: string; + + /** + * Metrics at the step number during the fine-tuning job. + */ + metrics: FineTuningJobCheckpoint.Metrics; + + /** + * The object type, which is always "fine_tuning.job.checkpoint". + */ + object: 'fine_tuning.job.checkpoint'; + + /** + * The step number that the checkpoint was created at. + */ + step_number: number; +} + +export namespace FineTuningJobCheckpoint { + /** + * Metrics at the step number during the fine-tuning job. + */ + export interface Metrics { + full_valid_loss?: number; + + full_valid_mean_token_accuracy?: number; + + step?: number; + + train_loss?: number; + + train_mean_token_accuracy?: number; + + valid_loss?: number; + + valid_mean_token_accuracy?: number; + } +} + +export interface CheckpointListParams extends CursorPageParams {} + +Checkpoints.FineTuningJobCheckpointsPage = FineTuningJobCheckpointsPage; + +export declare namespace Checkpoints { + export { + type FineTuningJobCheckpoint as FineTuningJobCheckpoint, + FineTuningJobCheckpointsPage as FineTuningJobCheckpointsPage, + type CheckpointListParams as CheckpointListParams, + }; +} diff --git a/src/resources/fine-tuning/jobs/index.ts b/src/resources/fine-tuning/jobs/index.ts new file mode 100644 index 000000000..7a05b48b2 --- /dev/null +++ b/src/resources/fine-tuning/jobs/index.ts @@ -0,0 +1,21 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +export { + FineTuningJobCheckpointsPage, + Checkpoints, + type FineTuningJobCheckpoint, + type CheckpointListParams, +} from './checkpoints'; +export { + FineTuningJobsPage, + FineTuningJobEventsPage, + Jobs, + type FineTuningJob, + type FineTuningJobEvent, + type FineTuningJobIntegration, + type FineTuningJobWandbIntegration, + type FineTuningJobWandbIntegrationObject, + type JobCreateParams, + type JobListParams, + type JobListEventsParams, +} from './jobs'; diff --git a/src/resources/fine-tuning/jobs/jobs.ts b/src/resources/fine-tuning/jobs/jobs.ts new file mode 100644 index 000000000..cc5f55e9a --- /dev/null +++ b/src/resources/fine-tuning/jobs/jobs.ts @@ -0,0 +1,646 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../../resource'; +import { isRequestOptions } from '../../../core'; +import * as Core from '../../../core'; +import * as MethodsAPI from '../methods'; +import * as CheckpointsAPI from './checkpoints'; +import { + CheckpointListParams, + Checkpoints, + FineTuningJobCheckpoint, + FineTuningJobCheckpointsPage, +} from './checkpoints'; +import { CursorPage, type CursorPageParams } from '../../../pagination'; + +export class Jobs extends APIResource { + checkpoints: CheckpointsAPI.Checkpoints = new CheckpointsAPI.Checkpoints(this._client); + + /** + * Creates a fine-tuning job which begins the process of creating a new model from + * a given dataset. + * + * Response includes details of the enqueued job including job status and the name + * of the fine-tuned models once complete. + * + * [Learn more about fine-tuning](https://platform.openai.com/docs/guides/fine-tuning) + * + * @example + * ```ts + * const fineTuningJob = await client.fineTuning.jobs.create({ + * model: 'gpt-4o-mini', + * training_file: 'file-abc123', + * }); + * ``` + */ + create(body: JobCreateParams, options?: Core.RequestOptions): Core.APIPromise { + return this._client.post('/fine_tuning/jobs', { body, ...options }); + } + + /** + * Get info about a fine-tuning job. + * + * [Learn more about fine-tuning](https://platform.openai.com/docs/guides/fine-tuning) + * + * @example + * ```ts + * const fineTuningJob = await client.fineTuning.jobs.retrieve( + * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F', + * ); + * ``` + */ + retrieve(fineTuningJobId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.get(`/fine_tuning/jobs/${fineTuningJobId}`, options); + } + + /** + * List your organization's fine-tuning jobs + * + * @example + * ```ts + * // Automatically fetches more pages as needed. + * for await (const fineTuningJob of client.fineTuning.jobs.list()) { + * // ... + * } + * ``` + */ + list( + query?: JobListParams, + options?: Core.RequestOptions, + ): Core.PagePromise; + list(options?: Core.RequestOptions): Core.PagePromise; + list( + query: JobListParams | Core.RequestOptions = {}, + options?: Core.RequestOptions, + ): Core.PagePromise { + if (isRequestOptions(query)) { + return this.list({}, query); + } + return this._client.getAPIList('/fine_tuning/jobs', FineTuningJobsPage, { query, ...options }); + } + + /** + * Immediately cancel a fine-tune job. + * + * @example + * ```ts + * const fineTuningJob = await client.fineTuning.jobs.cancel( + * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F', + * ); + * ``` + */ + cancel(fineTuningJobId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.post(`/fine_tuning/jobs/${fineTuningJobId}/cancel`, options); + } + + /** + * Get status updates for a fine-tuning job. + * + * @example + * ```ts + * // Automatically fetches more pages as needed. + * for await (const fineTuningJobEvent of client.fineTuning.jobs.listEvents( + * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F', + * )) { + * // ... + * } + * ``` + */ + listEvents( + fineTuningJobId: string, + query?: JobListEventsParams, + options?: Core.RequestOptions, + ): Core.PagePromise; + listEvents( + fineTuningJobId: string, + options?: Core.RequestOptions, + ): Core.PagePromise; + listEvents( + fineTuningJobId: string, + query: JobListEventsParams | Core.RequestOptions = {}, + options?: Core.RequestOptions, + ): Core.PagePromise { + if (isRequestOptions(query)) { + return this.listEvents(fineTuningJobId, {}, query); + } + return this._client.getAPIList(`/fine_tuning/jobs/${fineTuningJobId}/events`, FineTuningJobEventsPage, { + query, + ...options, + }); + } + + /** + * Pause a fine-tune job. + * + * @example + * ```ts + * const fineTuningJob = await client.fineTuning.jobs.pause( + * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F', + * ); + * ``` + */ + pause(fineTuningJobId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.post(`/fine_tuning/jobs/${fineTuningJobId}/pause`, options); + } + + /** + * Resume a fine-tune job. + * + * @example + * ```ts + * const fineTuningJob = await client.fineTuning.jobs.resume( + * 'ft-AF1WoRqd3aJAHsqc9NY7iL8F', + * ); + * ``` + */ + resume(fineTuningJobId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.post(`/fine_tuning/jobs/${fineTuningJobId}/resume`, options); + } +} + +export class FineTuningJobsPage extends CursorPage {} + +export class FineTuningJobEventsPage extends CursorPage {} + +/** + * The `fine_tuning.job` object represents a fine-tuning job that has been created + * through the API. + */ +export interface FineTuningJob { + /** + * The object identifier, which can be referenced in the API endpoints. + */ + id: string; + + /** + * The Unix timestamp (in seconds) for when the fine-tuning job was created. + */ + created_at: number; + + /** + * For fine-tuning jobs that have `failed`, this will contain more information on + * the cause of the failure. + */ + error: FineTuningJob.Error | null; + + /** + * The name of the fine-tuned model that is being created. The value will be null + * if the fine-tuning job is still running. + */ + fine_tuned_model: string | null; + + /** + * The Unix timestamp (in seconds) for when the fine-tuning job was finished. The + * value will be null if the fine-tuning job is still running. + */ + finished_at: number | null; + + /** + * The hyperparameters used for the fine-tuning job. This value will only be + * returned when running `supervised` jobs. + */ + hyperparameters: FineTuningJob.Hyperparameters; + + /** + * The base model that is being fine-tuned. + */ + model: string; + + /** + * The object type, which is always "fine_tuning.job". + */ + object: 'fine_tuning.job'; + + /** + * The organization that owns the fine-tuning job. + */ + organization_id: string; + + /** + * The compiled results file ID(s) for the fine-tuning job. You can retrieve the + * results with the + * [Files API](https://platform.openai.com/docs/api-reference/files/retrieve-contents). + */ + result_files: Array; + + /** + * The seed used for the fine-tuning job. + */ + seed: number; + + /** + * The current status of the fine-tuning job, which can be either + * `validating_files`, `queued`, `running`, `succeeded`, `failed`, or `cancelled`. + */ + status: 'validating_files' | 'queued' | 'running' | 'succeeded' | 'failed' | 'cancelled'; + + /** + * The total number of billable tokens processed by this fine-tuning job. The value + * will be null if the fine-tuning job is still running. + */ + trained_tokens: number | null; + + /** + * The file ID used for training. You can retrieve the training data with the + * [Files API](https://platform.openai.com/docs/api-reference/files/retrieve-contents). + */ + training_file: string; + + /** + * The file ID used for validation. You can retrieve the validation results with + * the + * [Files API](https://platform.openai.com/docs/api-reference/files/retrieve-contents). + */ + validation_file: string | null; + + /** + * The Unix timestamp (in seconds) for when the fine-tuning job is estimated to + * finish. The value will be null if the fine-tuning job is not running. + */ + estimated_finish?: number | null; + + /** + * A list of integrations to enable for this fine-tuning job. + */ + integrations?: Array | null; + + /** + * The method used for fine-tuning. + */ + method?: FineTuningJob.Method; +} + +export namespace FineTuningJob { + /** + * For fine-tuning jobs that have `failed`, this will contain more information on + * the cause of the failure. + */ + export interface Error { + /** + * A machine-readable error code. + */ + code: string; + + /** + * A human-readable error message. + */ + message: string; + + /** + * The parameter that was invalid, usually `training_file` or `validation_file`. + * This field will be null if the failure was not parameter-specific. + */ + param: string | null; + } + + /** + * The hyperparameters used for the fine-tuning job. This value will only be + * returned when running `supervised` jobs. + */ + export interface Hyperparameters { + /** + * Number of examples in each batch. A larger batch size means that model + * parameters are updated less frequently, but with lower variance. + */ + batch_size?: unknown | 'auto' | number | null; + + /** + * Scaling factor for the learning rate. A smaller learning rate may be useful to + * avoid overfitting. + */ + learning_rate_multiplier?: 'auto' | number; + + /** + * The number of epochs to train the model for. An epoch refers to one full cycle + * through the training dataset. + */ + n_epochs?: 'auto' | number; + } + + /** + * The method used for fine-tuning. + */ + export interface Method { + /** + * The type of method. Is either `supervised`, `dpo`, or `reinforcement`. + */ + type: 'supervised' | 'dpo' | 'reinforcement'; + + /** + * Configuration for the DPO fine-tuning method. + */ + dpo?: MethodsAPI.DpoMethod; + + /** + * Configuration for the reinforcement fine-tuning method. + */ + reinforcement?: MethodsAPI.ReinforcementMethod; + + /** + * Configuration for the supervised fine-tuning method. + */ + supervised?: MethodsAPI.SupervisedMethod; + } +} + +/** + * Fine-tuning job event object + */ +export interface FineTuningJobEvent { + /** + * The object identifier. + */ + id: string; + + /** + * The Unix timestamp (in seconds) for when the fine-tuning job was created. + */ + created_at: number; + + /** + * The log level of the event. + */ + level: 'info' | 'warn' | 'error'; + + /** + * The message of the event. + */ + message: string; + + /** + * The object type, which is always "fine_tuning.job.event". + */ + object: 'fine_tuning.job.event'; + + /** + * The data associated with the event. + */ + data?: unknown; + + /** + * The type of event. + */ + type?: 'message' | 'metrics'; +} + +export type FineTuningJobIntegration = FineTuningJobWandbIntegrationObject; + +/** + * The settings for your integration with Weights and Biases. This payload + * specifies the project that metrics will be sent to. Optionally, you can set an + * explicit display name for your run, add tags to your run, and set a default + * entity (team, username, etc) to be associated with your run. + */ +export interface FineTuningJobWandbIntegration { + /** + * The name of the project that the new run will be created under. + */ + project: string; + + /** + * The entity to use for the run. This allows you to set the team or username of + * the WandB user that you would like associated with the run. If not set, the + * default entity for the registered WandB API key is used. + */ + entity?: string | null; + + /** + * A display name to set for the run. If not set, we will use the Job ID as the + * name. + */ + name?: string | null; + + /** + * A list of tags to be attached to the newly created run. These tags are passed + * through directly to WandB. Some default tags are generated by OpenAI: + * "openai/finetune", "openai/{base-model}", "openai/{ftjob-abcdef}". + */ + tags?: Array; +} + +export interface FineTuningJobWandbIntegrationObject { + /** + * The type of the integration being enabled for the fine-tuning job + */ + type: 'wandb'; + + /** + * The settings for your integration with Weights and Biases. This payload + * specifies the project that metrics will be sent to. Optionally, you can set an + * explicit display name for your run, add tags to your run, and set a default + * entity (team, username, etc) to be associated with your run. + */ + wandb: FineTuningJobWandbIntegration; +} + +export interface JobCreateParams { + /** + * The name of the model to fine-tune. You can select one of the + * [supported models](https://platform.openai.com/docs/guides/fine-tuning#which-models-can-be-fine-tuned). + */ + model: (string & {}) | 'babbage-002' | 'davinci-002' | 'gpt-3.5-turbo' | 'gpt-4o-mini'; + + /** + * The ID of an uploaded file that contains training data. + * + * See [upload file](https://platform.openai.com/docs/api-reference/files/create) + * for how to upload a file. + * + * Your dataset must be formatted as a JSONL file. Additionally, you must upload + * your file with the purpose `fine-tune`. + * + * The contents of the file should differ depending on if the model uses the + * [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input), + * [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input) + * format, or if the fine-tuning method uses the + * [preference](https://platform.openai.com/docs/api-reference/fine-tuning/preference-input) + * format. + * + * See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning) + * for more details. + */ + training_file: string; + + /** + * @deprecated The hyperparameters used for the fine-tuning job. This value is now + * deprecated in favor of `method`, and should be passed in under the `method` + * parameter. + */ + hyperparameters?: JobCreateParams.Hyperparameters; + + /** + * A list of integrations to enable for your fine-tuning job. + */ + integrations?: Array | null; + + /** + * The method used for fine-tuning. + */ + method?: JobCreateParams.Method; + + /** + * The seed controls the reproducibility of the job. Passing in the same seed and + * job parameters should produce the same results, but may differ in rare cases. If + * a seed is not specified, one will be generated for you. + */ + seed?: number | null; + + /** + * A string of up to 64 characters that will be added to your fine-tuned model + * name. + * + * For example, a `suffix` of "custom-model-name" would produce a model name like + * `ft:gpt-4o-mini:openai:custom-model-name:7p4lURel`. + */ + suffix?: string | null; + + /** + * The ID of an uploaded file that contains validation data. + * + * If you provide this file, the data is used to generate validation metrics + * periodically during fine-tuning. These metrics can be viewed in the fine-tuning + * results file. The same data should not be present in both train and validation + * files. + * + * Your dataset must be formatted as a JSONL file. You must upload your file with + * the purpose `fine-tune`. + * + * See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning) + * for more details. + */ + validation_file?: string | null; +} + +export namespace JobCreateParams { + /** + * @deprecated The hyperparameters used for the fine-tuning job. This value is now + * deprecated in favor of `method`, and should be passed in under the `method` + * parameter. + */ + export interface Hyperparameters { + /** + * Number of examples in each batch. A larger batch size means that model + * parameters are updated less frequently, but with lower variance. + */ + batch_size?: 'auto' | number; + + /** + * Scaling factor for the learning rate. A smaller learning rate may be useful to + * avoid overfitting. + */ + learning_rate_multiplier?: 'auto' | number; + + /** + * The number of epochs to train the model for. An epoch refers to one full cycle + * through the training dataset. + */ + n_epochs?: 'auto' | number; + } + + export interface Integration { + /** + * The type of integration to enable. Currently, only "wandb" (Weights and Biases) + * is supported. + */ + type: 'wandb'; + + /** + * The settings for your integration with Weights and Biases. This payload + * specifies the project that metrics will be sent to. Optionally, you can set an + * explicit display name for your run, add tags to your run, and set a default + * entity (team, username, etc) to be associated with your run. + */ + wandb: Integration.Wandb; + } + + export namespace Integration { + /** + * The settings for your integration with Weights and Biases. This payload + * specifies the project that metrics will be sent to. Optionally, you can set an + * explicit display name for your run, add tags to your run, and set a default + * entity (team, username, etc) to be associated with your run. + */ + export interface Wandb { + /** + * The name of the project that the new run will be created under. + */ + project: string; + + /** + * The entity to use for the run. This allows you to set the team or username of + * the WandB user that you would like associated with the run. If not set, the + * default entity for the registered WandB API key is used. + */ + entity?: string | null; + + /** + * A display name to set for the run. If not set, we will use the Job ID as the + * name. + */ + name?: string | null; + + /** + * A list of tags to be attached to the newly created run. These tags are passed + * through directly to WandB. Some default tags are generated by OpenAI: + * "openai/finetune", "openai/{base-model}", "openai/{ftjob-abcdef}". + */ + tags?: Array; + } + } + + /** + * The method used for fine-tuning. + */ + export interface Method { + /** + * The type of method. Is either `supervised`, `dpo`, or `reinforcement`. + */ + type: 'supervised' | 'dpo' | 'reinforcement'; + + /** + * Configuration for the DPO fine-tuning method. + */ + dpo?: MethodsAPI.DpoMethod; + + /** + * Configuration for the reinforcement fine-tuning method. + */ + reinforcement?: MethodsAPI.ReinforcementMethod; + + /** + * Configuration for the supervised fine-tuning method. + */ + supervised?: MethodsAPI.SupervisedMethod; + } +} + +export interface JobListParams extends CursorPageParams {} + +export interface JobListEventsParams extends CursorPageParams {} + +Jobs.FineTuningJobsPage = FineTuningJobsPage; +Jobs.FineTuningJobEventsPage = FineTuningJobEventsPage; +Jobs.Checkpoints = Checkpoints; +Jobs.FineTuningJobCheckpointsPage = FineTuningJobCheckpointsPage; + +export declare namespace Jobs { + export { + type FineTuningJob as FineTuningJob, + type FineTuningJobEvent as FineTuningJobEvent, + type FineTuningJobIntegration as FineTuningJobIntegration, + type FineTuningJobWandbIntegration as FineTuningJobWandbIntegration, + type FineTuningJobWandbIntegrationObject as FineTuningJobWandbIntegrationObject, + FineTuningJobsPage as FineTuningJobsPage, + FineTuningJobEventsPage as FineTuningJobEventsPage, + type JobCreateParams as JobCreateParams, + type JobListParams as JobListParams, + type JobListEventsParams as JobListEventsParams, + }; + + export { + Checkpoints as Checkpoints, + type FineTuningJobCheckpoint as FineTuningJobCheckpoint, + FineTuningJobCheckpointsPage as FineTuningJobCheckpointsPage, + type CheckpointListParams as CheckpointListParams, + }; +} diff --git a/src/resources/fine-tuning/methods.ts b/src/resources/fine-tuning/methods.ts new file mode 100644 index 000000000..aa459c74c --- /dev/null +++ b/src/resources/fine-tuning/methods.ts @@ -0,0 +1,152 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../resource'; +import * as GraderModelsAPI from '../graders/grader-models'; + +export class Methods extends APIResource {} + +/** + * The hyperparameters used for the DPO fine-tuning job. + */ +export interface DpoHyperparameters { + /** + * Number of examples in each batch. A larger batch size means that model + * parameters are updated less frequently, but with lower variance. + */ + batch_size?: 'auto' | number; + + /** + * The beta value for the DPO method. A higher beta value will increase the weight + * of the penalty between the policy and reference model. + */ + beta?: 'auto' | number; + + /** + * Scaling factor for the learning rate. A smaller learning rate may be useful to + * avoid overfitting. + */ + learning_rate_multiplier?: 'auto' | number; + + /** + * The number of epochs to train the model for. An epoch refers to one full cycle + * through the training dataset. + */ + n_epochs?: 'auto' | number; +} + +/** + * Configuration for the DPO fine-tuning method. + */ +export interface DpoMethod { + /** + * The hyperparameters used for the DPO fine-tuning job. + */ + hyperparameters?: DpoHyperparameters; +} + +/** + * The hyperparameters used for the reinforcement fine-tuning job. + */ +export interface ReinforcementHyperparameters { + /** + * Number of examples in each batch. A larger batch size means that model + * parameters are updated less frequently, but with lower variance. + */ + batch_size?: 'auto' | number; + + /** + * Multiplier on amount of compute used for exploring search space during training. + */ + compute_multiplier?: 'auto' | number; + + /** + * The number of training steps between evaluation runs. + */ + eval_interval?: 'auto' | number; + + /** + * Number of evaluation samples to generate per training step. + */ + eval_samples?: 'auto' | number; + + /** + * Scaling factor for the learning rate. A smaller learning rate may be useful to + * avoid overfitting. + */ + learning_rate_multiplier?: 'auto' | number; + + /** + * The number of epochs to train the model for. An epoch refers to one full cycle + * through the training dataset. + */ + n_epochs?: 'auto' | number; + + /** + * Level of reasoning effort. + */ + reasoning_effort?: 'default' | 'low' | 'medium' | 'high'; +} + +/** + * Configuration for the reinforcement fine-tuning method. + */ +export interface ReinforcementMethod { + /** + * The grader used for the fine-tuning job. + */ + grader: + | GraderModelsAPI.StringCheckGrader + | GraderModelsAPI.TextSimilarityGrader + | GraderModelsAPI.PythonGrader + | GraderModelsAPI.ScoreModelGrader + | GraderModelsAPI.MultiGrader; + + /** + * The hyperparameters used for the reinforcement fine-tuning job. + */ + hyperparameters?: ReinforcementHyperparameters; +} + +/** + * The hyperparameters used for the fine-tuning job. + */ +export interface SupervisedHyperparameters { + /** + * Number of examples in each batch. A larger batch size means that model + * parameters are updated less frequently, but with lower variance. + */ + batch_size?: 'auto' | number; + + /** + * Scaling factor for the learning rate. A smaller learning rate may be useful to + * avoid overfitting. + */ + learning_rate_multiplier?: 'auto' | number; + + /** + * The number of epochs to train the model for. An epoch refers to one full cycle + * through the training dataset. + */ + n_epochs?: 'auto' | number; +} + +/** + * Configuration for the supervised fine-tuning method. + */ +export interface SupervisedMethod { + /** + * The hyperparameters used for the fine-tuning job. + */ + hyperparameters?: SupervisedHyperparameters; +} + +export declare namespace Methods { + export { + type DpoHyperparameters as DpoHyperparameters, + type DpoMethod as DpoMethod, + type ReinforcementHyperparameters as ReinforcementHyperparameters, + type ReinforcementMethod as ReinforcementMethod, + type SupervisedHyperparameters as SupervisedHyperparameters, + type SupervisedMethod as SupervisedMethod, + }; +} diff --git a/src/resources/graders.ts b/src/resources/graders.ts new file mode 100644 index 000000000..2ea9aa959 --- /dev/null +++ b/src/resources/graders.ts @@ -0,0 +1,3 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +export * from './graders/index'; diff --git a/src/resources/graders/grader-models.ts b/src/resources/graders/grader-models.ts new file mode 100644 index 000000000..d2c335300 --- /dev/null +++ b/src/resources/graders/grader-models.ts @@ -0,0 +1,296 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../resource'; +import * as ResponsesAPI from '../responses/responses'; + +export class GraderModels extends APIResource {} + +/** + * A LabelModelGrader object which uses a model to assign labels to each item in + * the evaluation. + */ +export interface LabelModelGrader { + input: Array; + + /** + * The labels to assign to each item in the evaluation. + */ + labels: Array; + + /** + * The model to use for the evaluation. Must support structured outputs. + */ + model: string; + + /** + * The name of the grader. + */ + name: string; + + /** + * The labels that indicate a passing result. Must be a subset of labels. + */ + passing_labels: Array; + + /** + * The object type, which is always `label_model`. + */ + type: 'label_model'; +} + +export namespace LabelModelGrader { + /** + * A message input to the model with a role indicating instruction following + * hierarchy. Instructions given with the `developer` or `system` role take + * precedence over instructions given with the `user` role. Messages with the + * `assistant` role are presumed to have been generated by the model in previous + * interactions. + */ + export interface Input { + /** + * Text inputs to the model - can contain template strings. + */ + content: string | ResponsesAPI.ResponseInputText | Input.OutputText; + + /** + * The role of the message input. One of `user`, `assistant`, `system`, or + * `developer`. + */ + role: 'user' | 'assistant' | 'system' | 'developer'; + + /** + * The type of the message input. Always `message`. + */ + type?: 'message'; + } + + export namespace Input { + /** + * A text output from the model. + */ + export interface OutputText { + /** + * The text output from the model. + */ + text: string; + + /** + * The type of the output text. Always `output_text`. + */ + type: 'output_text'; + } + } +} + +/** + * A MultiGrader object combines the output of multiple graders to produce a single + * score. + */ +export interface MultiGrader { + /** + * A formula to calculate the output based on grader results. + */ + calculate_output: string; + + graders: Record< + string, + StringCheckGrader | TextSimilarityGrader | PythonGrader | ScoreModelGrader | LabelModelGrader + >; + + /** + * The name of the grader. + */ + name: string; + + /** + * The object type, which is always `multi`. + */ + type: 'multi'; +} + +/** + * A PythonGrader object that runs a python script on the input. + */ +export interface PythonGrader { + /** + * The name of the grader. + */ + name: string; + + /** + * The source code of the python script. + */ + source: string; + + /** + * The object type, which is always `python`. + */ + type: 'python'; + + /** + * The image tag to use for the python script. + */ + image_tag?: string; +} + +/** + * A ScoreModelGrader object that uses a model to assign a score to the input. + */ +export interface ScoreModelGrader { + /** + * The input text. This may include template strings. + */ + input: Array; + + /** + * The model to use for the evaluation. + */ + model: string; + + /** + * The name of the grader. + */ + name: string; + + /** + * The object type, which is always `score_model`. + */ + type: 'score_model'; + + /** + * The range of the score. Defaults to `[0, 1]`. + */ + range?: Array; + + /** + * The sampling parameters for the model. + */ + sampling_params?: unknown; +} + +export namespace ScoreModelGrader { + /** + * A message input to the model with a role indicating instruction following + * hierarchy. Instructions given with the `developer` or `system` role take + * precedence over instructions given with the `user` role. Messages with the + * `assistant` role are presumed to have been generated by the model in previous + * interactions. + */ + export interface Input { + /** + * Text inputs to the model - can contain template strings. + */ + content: string | ResponsesAPI.ResponseInputText | Input.OutputText; + + /** + * The role of the message input. One of `user`, `assistant`, `system`, or + * `developer`. + */ + role: 'user' | 'assistant' | 'system' | 'developer'; + + /** + * The type of the message input. Always `message`. + */ + type?: 'message'; + } + + export namespace Input { + /** + * A text output from the model. + */ + export interface OutputText { + /** + * The text output from the model. + */ + text: string; + + /** + * The type of the output text. Always `output_text`. + */ + type: 'output_text'; + } + } +} + +/** + * A StringCheckGrader object that performs a string comparison between input and + * reference using a specified operation. + */ +export interface StringCheckGrader { + /** + * The input text. This may include template strings. + */ + input: string; + + /** + * The name of the grader. + */ + name: string; + + /** + * The string check operation to perform. One of `eq`, `ne`, `like`, or `ilike`. + */ + operation: 'eq' | 'ne' | 'like' | 'ilike'; + + /** + * The reference text. This may include template strings. + */ + reference: string; + + /** + * The object type, which is always `string_check`. + */ + type: 'string_check'; +} + +/** + * A TextSimilarityGrader object which grades text based on similarity metrics. + */ +export interface TextSimilarityGrader { + /** + * The evaluation metric to use. One of `fuzzy_match`, `bleu`, `gleu`, `meteor`, + * `rouge_1`, `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`. + */ + evaluation_metric: + | 'fuzzy_match' + | 'bleu' + | 'gleu' + | 'meteor' + | 'rouge_1' + | 'rouge_2' + | 'rouge_3' + | 'rouge_4' + | 'rouge_5' + | 'rouge_l'; + + /** + * The text being graded. + */ + input: string; + + /** + * The name of the grader. + */ + name: string; + + /** + * The text being graded against. + */ + reference: string; + + /** + * The type of grader. + */ + type: 'text_similarity'; +} + +export declare namespace GraderModels { + export { + type LabelModelGrader as LabelModelGrader, + type MultiGrader as MultiGrader, + type PythonGrader as PythonGrader, + type ScoreModelGrader as ScoreModelGrader, + type StringCheckGrader as StringCheckGrader, + type TextSimilarityGrader as TextSimilarityGrader, + }; +} diff --git a/src/resources/graders/graders.ts b/src/resources/graders/graders.ts new file mode 100644 index 000000000..de3297450 --- /dev/null +++ b/src/resources/graders/graders.ts @@ -0,0 +1,31 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../resource'; +import * as GraderModelsAPI from './grader-models'; +import { + GraderModels, + LabelModelGrader, + MultiGrader, + PythonGrader, + ScoreModelGrader, + StringCheckGrader, + TextSimilarityGrader, +} from './grader-models'; + +export class Graders extends APIResource { + graderModels: GraderModelsAPI.GraderModels = new GraderModelsAPI.GraderModels(this._client); +} + +Graders.GraderModels = GraderModels; + +export declare namespace Graders { + export { + GraderModels as GraderModels, + type LabelModelGrader as LabelModelGrader, + type MultiGrader as MultiGrader, + type PythonGrader as PythonGrader, + type ScoreModelGrader as ScoreModelGrader, + type StringCheckGrader as StringCheckGrader, + type TextSimilarityGrader as TextSimilarityGrader, + }; +} diff --git a/src/resources/graders/index.ts b/src/resources/graders/index.ts new file mode 100644 index 000000000..82d557a6a --- /dev/null +++ b/src/resources/graders/index.ts @@ -0,0 +1,12 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +export { + GraderModels, + type LabelModelGrader, + type MultiGrader, + type PythonGrader, + type ScoreModelGrader, + type StringCheckGrader, + type TextSimilarityGrader, +} from './grader-models'; +export { Graders } from './graders'; diff --git a/src/resources/images.ts b/src/resources/images.ts new file mode 100644 index 000000000..c6b14833a --- /dev/null +++ b/src/resources/images.ts @@ -0,0 +1,376 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../resource'; +import * as Core from '../core'; + +export class Images extends APIResource { + /** + * Creates a variation of a given image. This endpoint only supports `dall-e-2`. + * + * @example + * ```ts + * const imagesResponse = await client.images.createVariation({ + * image: fs.createReadStream('otter.png'), + * }); + * ``` + */ + createVariation( + body: ImageCreateVariationParams, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this._client.post('/images/variations', Core.multipartFormRequestOptions({ body, ...options })); + } + + /** + * Creates an edited or extended image given one or more source images and a + * prompt. This endpoint only supports `gpt-image-1` and `dall-e-2`. + * + * @example + * ```ts + * const imagesResponse = await client.images.edit({ + * image: fs.createReadStream('path/to/file'), + * prompt: 'A cute baby sea otter wearing a beret', + * }); + * ``` + */ + edit(body: ImageEditParams, options?: Core.RequestOptions): Core.APIPromise { + return this._client.post('/images/edits', Core.multipartFormRequestOptions({ body, ...options })); + } + + /** + * Creates an image given a prompt. + * [Learn more](https://platform.openai.com/docs/guides/images). + * + * @example + * ```ts + * const imagesResponse = await client.images.generate({ + * prompt: 'A cute baby sea otter', + * }); + * ``` + */ + generate(body: ImageGenerateParams, options?: Core.RequestOptions): Core.APIPromise { + return this._client.post('/images/generations', { body, ...options }); + } +} + +/** + * Represents the content or the URL of an image generated by the OpenAI API. + */ +export interface Image { + /** + * The base64-encoded JSON of the generated image. Default value for `gpt-image-1`, + * and only present if `response_format` is set to `b64_json` for `dall-e-2` and + * `dall-e-3`. + */ + b64_json?: string; + + /** + * For `dall-e-3` only, the revised prompt that was used to generate the image. + */ + revised_prompt?: string; + + /** + * When using `dall-e-2` or `dall-e-3`, the URL of the generated image if + * `response_format` is set to `url` (default value). Unsupported for + * `gpt-image-1`. + */ + url?: string; +} + +export type ImageModel = 'dall-e-2' | 'dall-e-3' | 'gpt-image-1'; + +/** + * The response from the image generation endpoint. + */ +export interface ImagesResponse { + /** + * The Unix timestamp (in seconds) of when the image was created. + */ + created: number; + + /** + * The list of generated images. + */ + data?: Array; + + /** + * For `gpt-image-1` only, the token usage information for the image generation. + */ + usage?: ImagesResponse.Usage; +} + +export namespace ImagesResponse { + /** + * For `gpt-image-1` only, the token usage information for the image generation. + */ + export interface Usage { + /** + * The number of tokens (images and text) in the input prompt. + */ + input_tokens: number; + + /** + * The input tokens detailed information for the image generation. + */ + input_tokens_details: Usage.InputTokensDetails; + + /** + * The number of image tokens in the output image. + */ + output_tokens: number; + + /** + * The total number of tokens (images and text) used for the image generation. + */ + total_tokens: number; + } + + export namespace Usage { + /** + * The input tokens detailed information for the image generation. + */ + export interface InputTokensDetails { + /** + * The number of image tokens in the input prompt. + */ + image_tokens: number; + + /** + * The number of text tokens in the input prompt. + */ + text_tokens: number; + } + } +} + +export interface ImageCreateVariationParams { + /** + * The image to use as the basis for the variation(s). Must be a valid PNG file, + * less than 4MB, and square. + */ + image: Core.Uploadable; + + /** + * The model to use for image generation. Only `dall-e-2` is supported at this + * time. + */ + model?: (string & {}) | ImageModel | null; + + /** + * The number of images to generate. Must be between 1 and 10. + */ + n?: number | null; + + /** + * The format in which the generated images are returned. Must be one of `url` or + * `b64_json`. URLs are only valid for 60 minutes after the image has been + * generated. + */ + response_format?: 'url' | 'b64_json' | null; + + /** + * The size of the generated images. Must be one of `256x256`, `512x512`, or + * `1024x1024`. + */ + size?: '256x256' | '512x512' | '1024x1024' | null; + + /** + * A unique identifier representing your end-user, which can help OpenAI to monitor + * and detect abuse. + * [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids). + */ + user?: string; +} + +export interface ImageEditParams { + /** + * The image(s) to edit. Must be a supported image file or an array of images. + * + * For `gpt-image-1`, each image should be a `png`, `webp`, or `jpg` file less than + * 25MB. You can provide up to 16 images. + * + * For `dall-e-2`, you can only provide one image, and it should be a square `png` + * file less than 4MB. + */ + image: Core.Uploadable | Array; + + /** + * A text description of the desired image(s). The maximum length is 1000 + * characters for `dall-e-2`, and 32000 characters for `gpt-image-1`. + */ + prompt: string; + + /** + * Allows to set transparency for the background of the generated image(s). This + * parameter is only supported for `gpt-image-1`. Must be one of `transparent`, + * `opaque` or `auto` (default value). When `auto` is used, the model will + * automatically determine the best background for the image. + * + * If `transparent`, the output format needs to support transparency, so it should + * be set to either `png` (default value) or `webp`. + */ + background?: 'transparent' | 'opaque' | 'auto' | null; + + /** + * An additional image whose fully transparent areas (e.g. where alpha is zero) + * indicate where `image` should be edited. If there are multiple images provided, + * the mask will be applied on the first image. Must be a valid PNG file, less than + * 4MB, and have the same dimensions as `image`. + */ + mask?: Core.Uploadable; + + /** + * The model to use for image generation. Only `dall-e-2` and `gpt-image-1` are + * supported. Defaults to `dall-e-2` unless a parameter specific to `gpt-image-1` + * is used. + */ + model?: (string & {}) | ImageModel | null; + + /** + * The number of images to generate. Must be between 1 and 10. + */ + n?: number | null; + + /** + * The quality of the image that will be generated. `high`, `medium` and `low` are + * only supported for `gpt-image-1`. `dall-e-2` only supports `standard` quality. + * Defaults to `auto`. + */ + quality?: 'standard' | 'low' | 'medium' | 'high' | 'auto' | null; + + /** + * The format in which the generated images are returned. Must be one of `url` or + * `b64_json`. URLs are only valid for 60 minutes after the image has been + * generated. This parameter is only supported for `dall-e-2`, as `gpt-image-1` + * will always return base64-encoded images. + */ + response_format?: 'url' | 'b64_json' | null; + + /** + * The size of the generated images. Must be one of `1024x1024`, `1536x1024` + * (landscape), `1024x1536` (portrait), or `auto` (default value) for + * `gpt-image-1`, and one of `256x256`, `512x512`, or `1024x1024` for `dall-e-2`. + */ + size?: '256x256' | '512x512' | '1024x1024' | '1536x1024' | '1024x1536' | 'auto' | null; + + /** + * A unique identifier representing your end-user, which can help OpenAI to monitor + * and detect abuse. + * [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids). + */ + user?: string; +} + +export interface ImageGenerateParams { + /** + * A text description of the desired image(s). The maximum length is 32000 + * characters for `gpt-image-1`, 1000 characters for `dall-e-2` and 4000 characters + * for `dall-e-3`. + */ + prompt: string; + + /** + * Allows to set transparency for the background of the generated image(s). This + * parameter is only supported for `gpt-image-1`. Must be one of `transparent`, + * `opaque` or `auto` (default value). When `auto` is used, the model will + * automatically determine the best background for the image. + * + * If `transparent`, the output format needs to support transparency, so it should + * be set to either `png` (default value) or `webp`. + */ + background?: 'transparent' | 'opaque' | 'auto' | null; + + /** + * The model to use for image generation. One of `dall-e-2`, `dall-e-3`, or + * `gpt-image-1`. Defaults to `dall-e-2` unless a parameter specific to + * `gpt-image-1` is used. + */ + model?: (string & {}) | ImageModel | null; + + /** + * Control the content-moderation level for images generated by `gpt-image-1`. Must + * be either `low` for less restrictive filtering or `auto` (default value). + */ + moderation?: 'low' | 'auto' | null; + + /** + * The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only + * `n=1` is supported. + */ + n?: number | null; + + /** + * The compression level (0-100%) for the generated images. This parameter is only + * supported for `gpt-image-1` with the `webp` or `jpeg` output formats, and + * defaults to 100. + */ + output_compression?: number | null; + + /** + * The format in which the generated images are returned. This parameter is only + * supported for `gpt-image-1`. Must be one of `png`, `jpeg`, or `webp`. + */ + output_format?: 'png' | 'jpeg' | 'webp' | null; + + /** + * The quality of the image that will be generated. + * + * - `auto` (default value) will automatically select the best quality for the + * given model. + * - `high`, `medium` and `low` are supported for `gpt-image-1`. + * - `hd` and `standard` are supported for `dall-e-3`. + * - `standard` is the only option for `dall-e-2`. + */ + quality?: 'standard' | 'hd' | 'low' | 'medium' | 'high' | 'auto' | null; + + /** + * The format in which generated images with `dall-e-2` and `dall-e-3` are + * returned. Must be one of `url` or `b64_json`. URLs are only valid for 60 minutes + * after the image has been generated. This parameter isn't supported for + * `gpt-image-1` which will always return base64-encoded images. + */ + response_format?: 'url' | 'b64_json' | null; + + /** + * The size of the generated images. Must be one of `1024x1024`, `1536x1024` + * (landscape), `1024x1536` (portrait), or `auto` (default value) for + * `gpt-image-1`, one of `256x256`, `512x512`, or `1024x1024` for `dall-e-2`, and + * one of `1024x1024`, `1792x1024`, or `1024x1792` for `dall-e-3`. + */ + size?: + | 'auto' + | '1024x1024' + | '1536x1024' + | '1024x1536' + | '256x256' + | '512x512' + | '1792x1024' + | '1024x1792' + | null; + + /** + * The style of the generated images. This parameter is only supported for + * `dall-e-3`. Must be one of `vivid` or `natural`. Vivid causes the model to lean + * towards generating hyper-real and dramatic images. Natural causes the model to + * produce more natural, less hyper-real looking images. + */ + style?: 'vivid' | 'natural' | null; + + /** + * A unique identifier representing your end-user, which can help OpenAI to monitor + * and detect abuse. + * [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids). + */ + user?: string; +} + +export declare namespace Images { + export { + type Image as Image, + type ImageModel as ImageModel, + type ImagesResponse as ImagesResponse, + type ImageCreateVariationParams as ImageCreateVariationParams, + type ImageEditParams as ImageEditParams, + type ImageGenerateParams as ImageGenerateParams, + }; +} diff --git a/src/resources/index.ts b/src/resources/index.ts new file mode 100644 index 000000000..9d827615c --- /dev/null +++ b/src/resources/index.ts @@ -0,0 +1,98 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +export * from './chat/index'; +export * from './shared'; +export { Audio, type AudioModel, type AudioResponseFormat } from './audio/audio'; +export { + BatchesPage, + Batches, + type Batch, + type BatchError, + type BatchRequestCounts, + type BatchCreateParams, + type BatchListParams, +} from './batches'; +export { Beta } from './beta/beta'; +export { + Completions, + type Completion, + type CompletionChoice, + type CompletionUsage, + type CompletionCreateParams, + type CompletionCreateParamsNonStreaming, + type CompletionCreateParamsStreaming, +} from './completions'; +export { + Embeddings, + type CreateEmbeddingResponse, + type Embedding, + type EmbeddingModel, + type EmbeddingCreateParams, +} from './embeddings'; +export { + EvalListResponsesPage, + Evals, + type EvalCustomDataSourceConfig, + type EvalStoredCompletionsDataSourceConfig, + type EvalCreateResponse, + type EvalRetrieveResponse, + type EvalUpdateResponse, + type EvalListResponse, + type EvalDeleteResponse, + type EvalCreateParams, + type EvalUpdateParams, + type EvalListParams, +} from './evals/evals'; +export { + FileObjectsPage, + Files, + type FileContent, + type FileDeleted, + type FileObject, + type FilePurpose, + type FileCreateParams, + type FileListParams, +} from './files'; +export { FineTuning } from './fine-tuning/fine-tuning'; +export { Graders } from './graders/graders'; +export { + Images, + type Image, + type ImageModel, + type ImagesResponse, + type ImageCreateVariationParams, + type ImageEditParams, + type ImageGenerateParams, +} from './images'; +export { ModelsPage, Models, type Model, type ModelDeleted } from './models'; +export { + Moderations, + type Moderation, + type ModerationImageURLInput, + type ModerationModel, + type ModerationMultiModalInput, + type ModerationTextInput, + type ModerationCreateResponse, + type ModerationCreateParams, +} from './moderations'; +export { Responses } from './responses/responses'; +export { Uploads, type Upload, type UploadCreateParams, type UploadCompleteParams } from './uploads/uploads'; +export { + VectorStoresPage, + VectorStoreSearchResponsesPage, + VectorStores, + type AutoFileChunkingStrategyParam, + type FileChunkingStrategy, + type FileChunkingStrategyParam, + type OtherFileChunkingStrategyObject, + type StaticFileChunkingStrategy, + type StaticFileChunkingStrategyObject, + type StaticFileChunkingStrategyObjectParam, + type VectorStore, + type VectorStoreDeleted, + type VectorStoreSearchResponse, + type VectorStoreCreateParams, + type VectorStoreUpdateParams, + type VectorStoreListParams, + type VectorStoreSearchParams, +} from './vector-stores/vector-stores'; diff --git a/src/resources/models.ts b/src/resources/models.ts new file mode 100644 index 000000000..6d8cd5296 --- /dev/null +++ b/src/resources/models.ts @@ -0,0 +1,75 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../resource'; +import * as Core from '../core'; +import { Page } from '../pagination'; + +export class Models extends APIResource { + /** + * Retrieves a model instance, providing basic information about the model such as + * the owner and permissioning. + */ + retrieve(model: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.get(`/models/${model}`, options); + } + + /** + * Lists the currently available models, and provides basic information about each + * one such as the owner and availability. + */ + list(options?: Core.RequestOptions): Core.PagePromise { + return this._client.getAPIList('/models', ModelsPage, options); + } + + /** + * Delete a fine-tuned model. You must have the Owner role in your organization to + * delete a model. + */ + del(model: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.delete(`/models/${model}`, options); + } +} + +/** + * Note: no pagination actually occurs yet, this is for forwards-compatibility. + */ +export class ModelsPage extends Page {} + +/** + * Describes an OpenAI model offering that can be used with the API. + */ +export interface Model { + /** + * The model identifier, which can be referenced in the API endpoints. + */ + id: string; + + /** + * The Unix timestamp (in seconds) when the model was created. + */ + created: number; + + /** + * The object type, which is always "model". + */ + object: 'model'; + + /** + * The organization that owns the model. + */ + owned_by: string; +} + +export interface ModelDeleted { + id: string; + + deleted: boolean; + + object: string; +} + +Models.ModelsPage = ModelsPage; + +export declare namespace Models { + export { type Model as Model, type ModelDeleted as ModelDeleted, ModelsPage as ModelsPage }; +} diff --git a/src/resources/moderations.ts b/src/resources/moderations.ts new file mode 100644 index 000000000..86e90376d --- /dev/null +++ b/src/resources/moderations.ts @@ -0,0 +1,369 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../resource'; +import * as Core from '../core'; + +export class Moderations extends APIResource { + /** + * Classifies if text and/or image inputs are potentially harmful. Learn more in + * the [moderation guide](https://platform.openai.com/docs/guides/moderation). + */ + create( + body: ModerationCreateParams, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this._client.post('/moderations', { body, ...options }); + } +} + +export interface Moderation { + /** + * A list of the categories, and whether they are flagged or not. + */ + categories: Moderation.Categories; + + /** + * A list of the categories along with the input type(s) that the score applies to. + */ + category_applied_input_types: Moderation.CategoryAppliedInputTypes; + + /** + * A list of the categories along with their scores as predicted by model. + */ + category_scores: Moderation.CategoryScores; + + /** + * Whether any of the below categories are flagged. + */ + flagged: boolean; +} + +export namespace Moderation { + /** + * A list of the categories, and whether they are flagged or not. + */ + export interface Categories { + /** + * Content that expresses, incites, or promotes harassing language towards any + * target. + */ + harassment: boolean; + + /** + * Harassment content that also includes violence or serious harm towards any + * target. + */ + 'harassment/threatening': boolean; + + /** + * Content that expresses, incites, or promotes hate based on race, gender, + * ethnicity, religion, nationality, sexual orientation, disability status, or + * caste. Hateful content aimed at non-protected groups (e.g., chess players) is + * harassment. + */ + hate: boolean; + + /** + * Hateful content that also includes violence or serious harm towards the targeted + * group based on race, gender, ethnicity, religion, nationality, sexual + * orientation, disability status, or caste. + */ + 'hate/threatening': boolean; + + /** + * Content that includes instructions or advice that facilitate the planning or + * execution of wrongdoing, or that gives advice or instruction on how to commit + * illicit acts. For example, "how to shoplift" would fit this category. + */ + illicit: boolean | null; + + /** + * Content that includes instructions or advice that facilitate the planning or + * execution of wrongdoing that also includes violence, or that gives advice or + * instruction on the procurement of any weapon. + */ + 'illicit/violent': boolean | null; + + /** + * Content that promotes, encourages, or depicts acts of self-harm, such as + * suicide, cutting, and eating disorders. + */ + 'self-harm': boolean; + + /** + * Content that encourages performing acts of self-harm, such as suicide, cutting, + * and eating disorders, or that gives instructions or advice on how to commit such + * acts. + */ + 'self-harm/instructions': boolean; + + /** + * Content where the speaker expresses that they are engaging or intend to engage + * in acts of self-harm, such as suicide, cutting, and eating disorders. + */ + 'self-harm/intent': boolean; + + /** + * Content meant to arouse sexual excitement, such as the description of sexual + * activity, or that promotes sexual services (excluding sex education and + * wellness). + */ + sexual: boolean; + + /** + * Sexual content that includes an individual who is under 18 years old. + */ + 'sexual/minors': boolean; + + /** + * Content that depicts death, violence, or physical injury. + */ + violence: boolean; + + /** + * Content that depicts death, violence, or physical injury in graphic detail. + */ + 'violence/graphic': boolean; + } + + /** + * A list of the categories along with the input type(s) that the score applies to. + */ + export interface CategoryAppliedInputTypes { + /** + * The applied input type(s) for the category 'harassment'. + */ + harassment: Array<'text'>; + + /** + * The applied input type(s) for the category 'harassment/threatening'. + */ + 'harassment/threatening': Array<'text'>; + + /** + * The applied input type(s) for the category 'hate'. + */ + hate: Array<'text'>; + + /** + * The applied input type(s) for the category 'hate/threatening'. + */ + 'hate/threatening': Array<'text'>; + + /** + * The applied input type(s) for the category 'illicit'. + */ + illicit: Array<'text'>; + + /** + * The applied input type(s) for the category 'illicit/violent'. + */ + 'illicit/violent': Array<'text'>; + + /** + * The applied input type(s) for the category 'self-harm'. + */ + 'self-harm': Array<'text' | 'image'>; + + /** + * The applied input type(s) for the category 'self-harm/instructions'. + */ + 'self-harm/instructions': Array<'text' | 'image'>; + + /** + * The applied input type(s) for the category 'self-harm/intent'. + */ + 'self-harm/intent': Array<'text' | 'image'>; + + /** + * The applied input type(s) for the category 'sexual'. + */ + sexual: Array<'text' | 'image'>; + + /** + * The applied input type(s) for the category 'sexual/minors'. + */ + 'sexual/minors': Array<'text'>; + + /** + * The applied input type(s) for the category 'violence'. + */ + violence: Array<'text' | 'image'>; + + /** + * The applied input type(s) for the category 'violence/graphic'. + */ + 'violence/graphic': Array<'text' | 'image'>; + } + + /** + * A list of the categories along with their scores as predicted by model. + */ + export interface CategoryScores { + /** + * The score for the category 'harassment'. + */ + harassment: number; + + /** + * The score for the category 'harassment/threatening'. + */ + 'harassment/threatening': number; + + /** + * The score for the category 'hate'. + */ + hate: number; + + /** + * The score for the category 'hate/threatening'. + */ + 'hate/threatening': number; + + /** + * The score for the category 'illicit'. + */ + illicit: number; + + /** + * The score for the category 'illicit/violent'. + */ + 'illicit/violent': number; + + /** + * The score for the category 'self-harm'. + */ + 'self-harm': number; + + /** + * The score for the category 'self-harm/instructions'. + */ + 'self-harm/instructions': number; + + /** + * The score for the category 'self-harm/intent'. + */ + 'self-harm/intent': number; + + /** + * The score for the category 'sexual'. + */ + sexual: number; + + /** + * The score for the category 'sexual/minors'. + */ + 'sexual/minors': number; + + /** + * The score for the category 'violence'. + */ + violence: number; + + /** + * The score for the category 'violence/graphic'. + */ + 'violence/graphic': number; + } +} + +/** + * An object describing an image to classify. + */ +export interface ModerationImageURLInput { + /** + * Contains either an image URL or a data URL for a base64 encoded image. + */ + image_url: ModerationImageURLInput.ImageURL; + + /** + * Always `image_url`. + */ + type: 'image_url'; +} + +export namespace ModerationImageURLInput { + /** + * Contains either an image URL or a data URL for a base64 encoded image. + */ + export interface ImageURL { + /** + * Either a URL of the image or the base64 encoded image data. + */ + url: string; + } +} + +export type ModerationModel = + | 'omni-moderation-latest' + | 'omni-moderation-2024-09-26' + | 'text-moderation-latest' + | 'text-moderation-stable'; + +/** + * An object describing an image to classify. + */ +export type ModerationMultiModalInput = ModerationImageURLInput | ModerationTextInput; + +/** + * An object describing text to classify. + */ +export interface ModerationTextInput { + /** + * A string of text to classify. + */ + text: string; + + /** + * Always `text`. + */ + type: 'text'; +} + +/** + * Represents if a given text input is potentially harmful. + */ +export interface ModerationCreateResponse { + /** + * The unique identifier for the moderation request. + */ + id: string; + + /** + * The model used to generate the moderation results. + */ + model: string; + + /** + * A list of moderation objects. + */ + results: Array; +} + +export interface ModerationCreateParams { + /** + * Input (or inputs) to classify. Can be a single string, an array of strings, or + * an array of multi-modal input objects similar to other models. + */ + input: string | Array | Array; + + /** + * The content moderation model you would like to use. Learn more in + * [the moderation guide](https://platform.openai.com/docs/guides/moderation), and + * learn about available models + * [here](https://platform.openai.com/docs/models#moderation). + */ + model?: (string & {}) | ModerationModel; +} + +export declare namespace Moderations { + export { + type Moderation as Moderation, + type ModerationImageURLInput as ModerationImageURLInput, + type ModerationModel as ModerationModel, + type ModerationMultiModalInput as ModerationMultiModalInput, + type ModerationTextInput as ModerationTextInput, + type ModerationCreateResponse as ModerationCreateResponse, + type ModerationCreateParams as ModerationCreateParams, + }; +} diff --git a/src/resources/responses/index.ts b/src/resources/responses/index.ts new file mode 100644 index 000000000..ad3f9a386 --- /dev/null +++ b/src/resources/responses/index.ts @@ -0,0 +1,4 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +export { InputItems, type ResponseItemList, type InputItemListParams } from './input-items'; +export { Responses } from './responses'; diff --git a/src/resources/responses/input-items.ts b/src/resources/responses/input-items.ts new file mode 100644 index 000000000..74707f184 --- /dev/null +++ b/src/resources/responses/input-items.ts @@ -0,0 +1,103 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../resource'; +import { isRequestOptions } from '../../core'; +import * as Core from '../../core'; +import * as ResponsesAPI from './responses'; +import { ResponseItemsPage } from './responses'; +import { type CursorPageParams } from '../../pagination'; + +export class InputItems extends APIResource { + /** + * Returns a list of input items for a given response. + * + * @example + * ```ts + * // Automatically fetches more pages as needed. + * for await (const responseItem of client.responses.inputItems.list( + * 'response_id', + * )) { + * // ... + * } + * ``` + */ + list( + responseId: string, + query?: InputItemListParams, + options?: Core.RequestOptions, + ): Core.PagePromise; + list( + responseId: string, + options?: Core.RequestOptions, + ): Core.PagePromise; + list( + responseId: string, + query: InputItemListParams | Core.RequestOptions = {}, + options?: Core.RequestOptions, + ): Core.PagePromise { + if (isRequestOptions(query)) { + return this.list(responseId, {}, query); + } + return this._client.getAPIList(`/responses/${responseId}/input_items`, ResponseItemsPage, { + query, + ...options, + }); + } +} + +/** + * A list of Response items. + */ +export interface ResponseItemList { + /** + * A list of items used to generate this response. + */ + data: Array; + + /** + * The ID of the first item in the list. + */ + first_id: string; + + /** + * Whether there are more items available. + */ + has_more: boolean; + + /** + * The ID of the last item in the list. + */ + last_id: string; + + /** + * The type of object returned, must be `list`. + */ + object: 'list'; +} + +export interface InputItemListParams extends CursorPageParams { + /** + * An item ID to list items before, used in pagination. + */ + before?: string; + + /** + * Additional fields to include in the response. See the `include` parameter for + * Response creation above for more information. + */ + include?: Array; + + /** + * The order to return the input items in. Default is `asc`. + * + * - `asc`: Return the input items in ascending order. + * - `desc`: Return the input items in descending order. + */ + order?: 'asc' | 'desc'; +} + +export declare namespace InputItems { + export { type ResponseItemList as ResponseItemList, type InputItemListParams as InputItemListParams }; +} + +export { ResponseItemsPage }; diff --git a/src/resources/responses/input-items.ts.orig b/src/resources/responses/input-items.ts.orig new file mode 100644 index 000000000..470740b61 --- /dev/null +++ b/src/resources/responses/input-items.ts.orig @@ -0,0 +1,114 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../resource'; +import { isRequestOptions } from '../../core'; +import * as Core from '../../core'; +import * as ResponsesAPI from './responses'; +import { ResponseItemsPage } from './responses'; +import { type CursorPageParams } from '../../pagination'; + +export class InputItems extends APIResource { + /** + * Returns a list of input items for a given response. + */ + list( + responseId: string, + query?: InputItemListParams, + options?: Core.RequestOptions, + ): Core.PagePromise; + list( + responseId: string, + options?: Core.RequestOptions, + ): Core.PagePromise; + list( + responseId: string, + query: InputItemListParams | Core.RequestOptions = {}, + options?: Core.RequestOptions, + ): Core.PagePromise { + if (isRequestOptions(query)) { + return this.list(responseId, {}, query); + } + return this._client.getAPIList(`/responses/${responseId}/input_items`, ResponseItemsPage, { + query, + ...options, + }); + } +} + +<<<<<<< HEAD +export class ResponseItemListDataPage extends CursorPage< + // @ts-ignore some items don't necessarily have the `id` property + | ResponseItemList.Message + | ResponsesAPI.ResponseOutputMessage + | ResponsesAPI.ResponseFileSearchToolCall + | ResponsesAPI.ResponseComputerToolCall + | ResponseItemList.ComputerCallOutput + | ResponsesAPI.ResponseFunctionWebSearch + | ResponsesAPI.ResponseFunctionToolCall + | ResponseItemList.FunctionCallOutput +> {} + +||||||| parent of e5ea4a71 (fix(types): improve responses type names (#1392)) +export class ResponseItemListDataPage extends CursorPage< + | ResponseItemList.Message + | ResponsesAPI.ResponseOutputMessage + | ResponsesAPI.ResponseFileSearchToolCall + | ResponsesAPI.ResponseComputerToolCall + | ResponseItemList.ComputerCallOutput + | ResponsesAPI.ResponseFunctionWebSearch + | ResponsesAPI.ResponseFunctionToolCall + | ResponseItemList.FunctionCallOutput +> {} + +======= +>>>>>>> e5ea4a71 (fix(types): improve responses type names (#1392)) +/** + * A list of Response items. + */ +export interface ResponseItemList { + /** + * A list of items used to generate this response. + */ + data: Array; + + /** + * The ID of the first item in the list. + */ + first_id: string; + + /** + * Whether there are more items available. + */ + has_more: boolean; + + /** + * The ID of the last item in the list. + */ + last_id: string; + + /** + * The type of object returned, must be `list`. + */ + object: 'list'; +} + +export interface InputItemListParams extends CursorPageParams { + /** + * An item ID to list items before, used in pagination. + */ + before?: string; + + /** + * The order to return the input items in. Default is `asc`. + * + * - `asc`: Return the input items in ascending order. + * - `desc`: Return the input items in descending order. + */ + order?: 'asc' | 'desc'; +} + +export declare namespace InputItems { + export { type ResponseItemList as ResponseItemList, type InputItemListParams as InputItemListParams }; +} + +export { ResponseItemsPage }; diff --git a/src/resources/responses/responses.ts b/src/resources/responses/responses.ts new file mode 100644 index 000000000..1440e865e --- /dev/null +++ b/src/resources/responses/responses.ts @@ -0,0 +1,3203 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { + type ExtractParsedContentFromParams, + parseResponse, + type ResponseCreateParamsWithTools, + addOutputText, +} from '../../lib/ResponsesParser'; +import * as Core from '../../core'; +import { APIPromise, isRequestOptions } from '../../core'; +import { APIResource } from '../../resource'; +import * as Shared from '../shared'; +import * as InputItemsAPI from './input-items'; +import { InputItemListParams, InputItems, ResponseItemList } from './input-items'; +import * as ResponsesAPI from './responses'; +import { ResponseStream, ResponseStreamParams } from '../../lib/responses/ResponseStream'; +import { CursorPage } from '../../pagination'; +import { Stream } from '../../streaming'; + +export interface ParsedResponseOutputText extends ResponseOutputText { + parsed: ParsedT | null; +} + +export type ParsedContent = ParsedResponseOutputText | ResponseOutputRefusal; + +export interface ParsedResponseOutputMessage extends ResponseOutputMessage { + content: ParsedContent[]; +} + +export interface ParsedResponseFunctionToolCall extends ResponseFunctionToolCall { + parsed_arguments: any; +} + +export type ParsedResponseOutputItem = + | ParsedResponseOutputMessage + | ParsedResponseFunctionToolCall + | ResponseFileSearchToolCall + | ResponseFunctionWebSearch + | ResponseComputerToolCall + | ResponseReasoningItem; + +export interface ParsedResponse extends Response { + output: Array>; + + output_parsed: ParsedT | null; +} + +export type ResponseParseParams = ResponseCreateParamsNonStreaming; +export class Responses extends APIResource { + inputItems: InputItemsAPI.InputItems = new InputItemsAPI.InputItems(this._client); + + /** + * Creates a model response. Provide + * [text](https://platform.openai.com/docs/guides/text) or + * [image](https://platform.openai.com/docs/guides/images) inputs to generate + * [text](https://platform.openai.com/docs/guides/text) or + * [JSON](https://platform.openai.com/docs/guides/structured-outputs) outputs. Have + * the model call your own + * [custom code](https://platform.openai.com/docs/guides/function-calling) or use + * built-in [tools](https://platform.openai.com/docs/guides/tools) like + * [web search](https://platform.openai.com/docs/guides/tools-web-search) or + * [file search](https://platform.openai.com/docs/guides/tools-file-search) to use + * your own data as input for the model's response. + * + * @example + * ```ts + * const response = await client.responses.create({ + * input: 'string', + * model: 'gpt-4o', + * }); + * ``` + */ + create(body: ResponseCreateParamsNonStreaming, options?: Core.RequestOptions): APIPromise; + create( + body: ResponseCreateParamsStreaming, + options?: Core.RequestOptions, + ): APIPromise>; + create( + body: ResponseCreateParamsBase, + options?: Core.RequestOptions, + ): APIPromise | Response>; + create( + body: ResponseCreateParams, + options?: Core.RequestOptions, + ): APIPromise | APIPromise> { + return ( + this._client.post('/responses', { body, ...options, stream: body.stream ?? false }) as + | APIPromise + | APIPromise> + )._thenUnwrap((rsp) => { + if ('object' in rsp && rsp.object === 'response') { + addOutputText(rsp as Response); + } + + return rsp; + }) as APIPromise | APIPromise>; + } + + /** + * Retrieves a model response with the given ID. + * + * @example + * ```ts + * const response = await client.responses.retrieve( + * 'resp_677efb5139a88190b512bc3fef8e535d', + * ); + * ``` + */ + retrieve( + responseId: string, + query?: ResponseRetrieveParams, + options?: Core.RequestOptions, + ): Core.APIPromise; + retrieve(responseId: string, options?: Core.RequestOptions): Core.APIPromise; + retrieve( + responseId: string, + query: ResponseRetrieveParams | Core.RequestOptions = {}, + options?: Core.RequestOptions, + ): Core.APIPromise { + if (isRequestOptions(query)) { + return this.retrieve(responseId, {}, query); + } + return this._client.get(`/responses/${responseId}`, { query, ...options }); + } + + /** + * Deletes a model response with the given ID. + * + * @example + * ```ts + * await client.responses.del( + * 'resp_677efb5139a88190b512bc3fef8e535d', + * ); + * ``` + */ + del(responseId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.delete(`/responses/${responseId}`, { + ...options, + headers: { Accept: '*/*', ...options?.headers }, + }); + } + + parse>( + body: Params, + options?: Core.RequestOptions, + ): Core.APIPromise> { + return this._client.responses + .create(body, options) + ._thenUnwrap((response) => parseResponse(response as Response, body)); + } + + /** + * Creates a model response stream + */ + stream>( + body: Params, + options?: Core.RequestOptions, + ): ResponseStream { + return ResponseStream.createResponse(this._client, body, options); + } +} + +export class ResponseItemsPage extends CursorPage {} + +/** + * A tool that controls a virtual computer. Learn more about the + * [computer tool](https://platform.openai.com/docs/guides/tools-computer-use). + */ +export interface ComputerTool { + /** + * The height of the computer display. + */ + display_height: number; + + /** + * The width of the computer display. + */ + display_width: number; + + /** + * The type of computer environment to control. + */ + environment: 'windows' | 'mac' | 'linux' | 'ubuntu' | 'browser'; + + /** + * The type of the computer use tool. Always `computer_use_preview`. + */ + type: 'computer-preview'; +} + +/** + * A message input to the model with a role indicating instruction following + * hierarchy. Instructions given with the `developer` or `system` role take + * precedence over instructions given with the `user` role. Messages with the + * `assistant` role are presumed to have been generated by the model in previous + * interactions. + */ +export interface EasyInputMessage { + /** + * Text, image, or audio input to the model, used to generate a response. Can also + * contain previous assistant responses. + */ + content: string | ResponseInputMessageContentList; + + /** + * The role of the message input. One of `user`, `assistant`, `system`, or + * `developer`. + */ + role: 'user' | 'assistant' | 'system' | 'developer'; + + /** + * The type of the message input. Always `message`. + */ + type?: 'message'; +} + +/** + * A tool that searches for relevant content from uploaded files. Learn more about + * the + * [file search tool](https://platform.openai.com/docs/guides/tools-file-search). + */ +export interface FileSearchTool { + /** + * The type of the file search tool. Always `file_search`. + */ + type: 'file_search'; + + /** + * The IDs of the vector stores to search. + */ + vector_store_ids: Array; + + /** + * A filter to apply. + */ + filters?: Shared.ComparisonFilter | Shared.CompoundFilter | null; + + /** + * The maximum number of results to return. This number should be between 1 and 50 + * inclusive. + */ + max_num_results?: number; + + /** + * Ranking options for search. + */ + ranking_options?: FileSearchTool.RankingOptions; +} + +export namespace FileSearchTool { + /** + * Ranking options for search. + */ + export interface RankingOptions { + /** + * The ranker to use for the file search. + */ + ranker?: 'auto' | 'default-2024-11-15'; + + /** + * The score threshold for the file search, a number between 0 and 1. Numbers + * closer to 1 will attempt to return only the most relevant results, but may + * return fewer results. + */ + score_threshold?: number; + } +} + +/** + * Defines a function in your own code the model can choose to call. Learn more + * about + * [function calling](https://platform.openai.com/docs/guides/function-calling). + */ +export interface FunctionTool { + /** + * The name of the function to call. + */ + name: string; + + /** + * A JSON schema object describing the parameters of the function. + */ + parameters: Record | null; + + /** + * Whether to enforce strict parameter validation. Default `true`. + */ + strict: boolean | null; + + /** + * The type of the function tool. Always `function`. + */ + type: 'function'; + + /** + * A description of the function. Used by the model to determine whether or not to + * call the function. + */ + description?: string | null; +} + +export interface Response { + /** + * Unique identifier for this Response. + */ + id: string; + + /** + * Unix timestamp (in seconds) of when this Response was created. + */ + created_at: number; + + output_text: string; + + /** + * An error object returned when the model fails to generate a Response. + */ + error: ResponseError | null; + + /** + * Details about why the response is incomplete. + */ + incomplete_details: Response.IncompleteDetails | null; + + /** + * Inserts a system (or developer) message as the first item in the model's + * context. + * + * When using along with `previous_response_id`, the instructions from a previous + * response will not be carried over to the next response. This makes it simple to + * swap out system (or developer) messages in new responses. + */ + instructions: string | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata: Shared.Metadata | null; + + /** + * Model ID used to generate the response, like `gpt-4o` or `o3`. OpenAI offers a + * wide range of models with different capabilities, performance characteristics, + * and price points. Refer to the + * [model guide](https://platform.openai.com/docs/models) to browse and compare + * available models. + */ + model: Shared.ResponsesModel; + + /** + * The object type of this resource - always set to `response`. + */ + object: 'response'; + + /** + * An array of content items generated by the model. + * + * - The length and order of items in the `output` array is dependent on the + * model's response. + * - Rather than accessing the first item in the `output` array and assuming it's + * an `assistant` message with the content generated by the model, you might + * consider using the `output_text` property where supported in SDKs. + */ + output: Array; + + /** + * Whether to allow the model to run tool calls in parallel. + */ + parallel_tool_calls: boolean; + + /** + * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will + * make the output more random, while lower values like 0.2 will make it more + * focused and deterministic. We generally recommend altering this or `top_p` but + * not both. + */ + temperature: number | null; + + /** + * How the model should select which tool (or tools) to use when generating a + * response. See the `tools` parameter to see how to specify which tools the model + * can call. + */ + tool_choice: ToolChoiceOptions | ToolChoiceTypes | ToolChoiceFunction; + + /** + * An array of tools the model may call while generating a response. You can + * specify which tool to use by setting the `tool_choice` parameter. + * + * The two categories of tools you can provide the model are: + * + * - **Built-in tools**: Tools that are provided by OpenAI that extend the model's + * capabilities, like + * [web search](https://platform.openai.com/docs/guides/tools-web-search) or + * [file search](https://platform.openai.com/docs/guides/tools-file-search). + * Learn more about + * [built-in tools](https://platform.openai.com/docs/guides/tools). + * - **Function calls (custom tools)**: Functions that are defined by you, enabling + * the model to call your own code. Learn more about + * [function calling](https://platform.openai.com/docs/guides/function-calling). + */ + tools: Array; + + /** + * An alternative to sampling with temperature, called nucleus sampling, where the + * model considers the results of the tokens with top_p probability mass. So 0.1 + * means only the tokens comprising the top 10% probability mass are considered. + * + * We generally recommend altering this or `temperature` but not both. + */ + top_p: number | null; + + /** + * An upper bound for the number of tokens that can be generated for a response, + * including visible output tokens and + * [reasoning tokens](https://platform.openai.com/docs/guides/reasoning). + */ + max_output_tokens?: number | null; + + /** + * The unique ID of the previous response to the model. Use this to create + * multi-turn conversations. Learn more about + * [conversation state](https://platform.openai.com/docs/guides/conversation-state). + */ + previous_response_id?: string | null; + + /** + * **o-series models only** + * + * Configuration options for + * [reasoning models](https://platform.openai.com/docs/guides/reasoning). + */ + reasoning?: Shared.Reasoning | null; + + /** + * Specifies the latency tier to use for processing the request. This parameter is + * relevant for customers subscribed to the scale tier service: + * + * - If set to 'auto', and the Project is Scale tier enabled, the system will + * utilize scale tier credits until they are exhausted. + * - If set to 'auto', and the Project is not Scale tier enabled, the request will + * be processed using the default service tier with a lower uptime SLA and no + * latency guarentee. + * - If set to 'default', the request will be processed using the default service + * tier with a lower uptime SLA and no latency guarentee. + * - If set to 'flex', the request will be processed with the Flex Processing + * service tier. + * [Learn more](https://platform.openai.com/docs/guides/flex-processing). + * - When not set, the default behavior is 'auto'. + * + * When this parameter is set, the response body will include the `service_tier` + * utilized. + */ + service_tier?: 'auto' | 'default' | 'flex' | null; + + /** + * The status of the response generation. One of `completed`, `failed`, + * `in_progress`, or `incomplete`. + */ + status?: ResponseStatus; + + /** + * Configuration options for a text response from the model. Can be plain text or + * structured JSON data. Learn more: + * + * - [Text inputs and outputs](https://platform.openai.com/docs/guides/text) + * - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs) + */ + text?: ResponseTextConfig; + + /** + * The truncation strategy to use for the model response. + * + * - `auto`: If the context of this response and previous ones exceeds the model's + * context window size, the model will truncate the response to fit the context + * window by dropping input items in the middle of the conversation. + * - `disabled` (default): If a model response will exceed the context window size + * for a model, the request will fail with a 400 error. + */ + truncation?: 'auto' | 'disabled' | null; + + /** + * Represents token usage details including input tokens, output tokens, a + * breakdown of output tokens, and the total tokens used. + */ + usage?: ResponseUsage; + + /** + * A unique identifier representing your end-user, which can help OpenAI to monitor + * and detect abuse. + * [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids). + */ + user?: string; +} + +export namespace Response { + /** + * Details about why the response is incomplete. + */ + export interface IncompleteDetails { + /** + * The reason why the response is incomplete. + */ + reason?: 'max_output_tokens' | 'content_filter'; + } +} + +/** + * Emitted when there is a partial audio response. + */ +export interface ResponseAudioDeltaEvent { + /** + * A chunk of Base64 encoded response audio bytes. + */ + delta: string; + + /** + * The type of the event. Always `response.audio.delta`. + */ + type: 'response.audio.delta'; +} + +/** + * Emitted when the audio response is complete. + */ +export interface ResponseAudioDoneEvent { + /** + * The type of the event. Always `response.audio.done`. + */ + type: 'response.audio.done'; +} + +/** + * Emitted when there is a partial transcript of audio. + */ +export interface ResponseAudioTranscriptDeltaEvent { + /** + * The partial transcript of the audio response. + */ + delta: string; + + /** + * The type of the event. Always `response.audio.transcript.delta`. + */ + type: 'response.audio.transcript.delta'; +} + +/** + * Emitted when the full audio transcript is completed. + */ +export interface ResponseAudioTranscriptDoneEvent { + /** + * The type of the event. Always `response.audio.transcript.done`. + */ + type: 'response.audio.transcript.done'; +} + +/** + * Emitted when a partial code snippet is added by the code interpreter. + */ +export interface ResponseCodeInterpreterCallCodeDeltaEvent { + /** + * The partial code snippet added by the code interpreter. + */ + delta: string; + + /** + * The index of the output item that the code interpreter call is in progress. + */ + output_index: number; + + /** + * The type of the event. Always `response.code_interpreter_call.code.delta`. + */ + type: 'response.code_interpreter_call.code.delta'; +} + +/** + * Emitted when code snippet output is finalized by the code interpreter. + */ +export interface ResponseCodeInterpreterCallCodeDoneEvent { + /** + * The final code snippet output by the code interpreter. + */ + code: string; + + /** + * The index of the output item that the code interpreter call is in progress. + */ + output_index: number; + + /** + * The type of the event. Always `response.code_interpreter_call.code.done`. + */ + type: 'response.code_interpreter_call.code.done'; +} + +/** + * Emitted when the code interpreter call is completed. + */ +export interface ResponseCodeInterpreterCallCompletedEvent { + /** + * A tool call to run code. + */ + code_interpreter_call: ResponseCodeInterpreterToolCall; + + /** + * The index of the output item that the code interpreter call is in progress. + */ + output_index: number; + + /** + * The type of the event. Always `response.code_interpreter_call.completed`. + */ + type: 'response.code_interpreter_call.completed'; +} + +/** + * Emitted when a code interpreter call is in progress. + */ +export interface ResponseCodeInterpreterCallInProgressEvent { + /** + * A tool call to run code. + */ + code_interpreter_call: ResponseCodeInterpreterToolCall; + + /** + * The index of the output item that the code interpreter call is in progress. + */ + output_index: number; + + /** + * The type of the event. Always `response.code_interpreter_call.in_progress`. + */ + type: 'response.code_interpreter_call.in_progress'; +} + +/** + * Emitted when the code interpreter is actively interpreting the code snippet. + */ +export interface ResponseCodeInterpreterCallInterpretingEvent { + /** + * A tool call to run code. + */ + code_interpreter_call: ResponseCodeInterpreterToolCall; + + /** + * The index of the output item that the code interpreter call is in progress. + */ + output_index: number; + + /** + * The type of the event. Always `response.code_interpreter_call.interpreting`. + */ + type: 'response.code_interpreter_call.interpreting'; +} + +/** + * A tool call to run code. + */ +export interface ResponseCodeInterpreterToolCall { + /** + * The unique ID of the code interpreter tool call. + */ + id: string; + + /** + * The code to run. + */ + code: string; + + /** + * The results of the code interpreter tool call. + */ + results: Array; + + /** + * The status of the code interpreter tool call. + */ + status: 'in_progress' | 'interpreting' | 'completed'; + + /** + * The type of the code interpreter tool call. Always `code_interpreter_call`. + */ + type: 'code_interpreter_call'; +} + +export namespace ResponseCodeInterpreterToolCall { + /** + * The output of a code interpreter tool call that is text. + */ + export interface Logs { + /** + * The logs of the code interpreter tool call. + */ + logs: string; + + /** + * The type of the code interpreter text output. Always `logs`. + */ + type: 'logs'; + } + + /** + * The output of a code interpreter tool call that is a file. + */ + export interface Files { + files: Array; + + /** + * The type of the code interpreter file output. Always `files`. + */ + type: 'files'; + } + + export namespace Files { + export interface File { + /** + * The ID of the file. + */ + file_id: string; + + /** + * The MIME type of the file. + */ + mime_type: string; + } + } +} + +/** + * Emitted when the model response is complete. + */ +export interface ResponseCompletedEvent { + /** + * Properties of the completed response. + */ + response: Response; + + /** + * The type of the event. Always `response.completed`. + */ + type: 'response.completed'; +} + +/** + * A tool call to a computer use tool. See the + * [computer use guide](https://platform.openai.com/docs/guides/tools-computer-use) + * for more information. + */ +export interface ResponseComputerToolCall { + /** + * The unique ID of the computer call. + */ + id: string; + + /** + * A click action. + */ + action: + | ResponseComputerToolCall.Click + | ResponseComputerToolCall.DoubleClick + | ResponseComputerToolCall.Drag + | ResponseComputerToolCall.Keypress + | ResponseComputerToolCall.Move + | ResponseComputerToolCall.Screenshot + | ResponseComputerToolCall.Scroll + | ResponseComputerToolCall.Type + | ResponseComputerToolCall.Wait; + + /** + * An identifier used when responding to the tool call with output. + */ + call_id: string; + + /** + * The pending safety checks for the computer call. + */ + pending_safety_checks: Array; + + /** + * The status of the item. One of `in_progress`, `completed`, or `incomplete`. + * Populated when items are returned via API. + */ + status: 'in_progress' | 'completed' | 'incomplete'; + + /** + * The type of the computer call. Always `computer_call`. + */ + type: 'computer_call'; +} + +export namespace ResponseComputerToolCall { + /** + * A click action. + */ + export interface Click { + /** + * Indicates which mouse button was pressed during the click. One of `left`, + * `right`, `wheel`, `back`, or `forward`. + */ + button: 'left' | 'right' | 'wheel' | 'back' | 'forward'; + + /** + * Specifies the event type. For a click action, this property is always set to + * `click`. + */ + type: 'click'; + + /** + * The x-coordinate where the click occurred. + */ + x: number; + + /** + * The y-coordinate where the click occurred. + */ + y: number; + } + + /** + * A double click action. + */ + export interface DoubleClick { + /** + * Specifies the event type. For a double click action, this property is always set + * to `double_click`. + */ + type: 'double_click'; + + /** + * The x-coordinate where the double click occurred. + */ + x: number; + + /** + * The y-coordinate where the double click occurred. + */ + y: number; + } + + /** + * A drag action. + */ + export interface Drag { + /** + * An array of coordinates representing the path of the drag action. Coordinates + * will appear as an array of objects, eg + * + * ``` + * [ + * { x: 100, y: 200 }, + * { x: 200, y: 300 } + * ] + * ``` + */ + path: Array; + + /** + * Specifies the event type. For a drag action, this property is always set to + * `drag`. + */ + type: 'drag'; + } + + export namespace Drag { + /** + * A series of x/y coordinate pairs in the drag path. + */ + export interface Path { + /** + * The x-coordinate. + */ + x: number; + + /** + * The y-coordinate. + */ + y: number; + } + } + + /** + * A collection of keypresses the model would like to perform. + */ + export interface Keypress { + /** + * The combination of keys the model is requesting to be pressed. This is an array + * of strings, each representing a key. + */ + keys: Array; + + /** + * Specifies the event type. For a keypress action, this property is always set to + * `keypress`. + */ + type: 'keypress'; + } + + /** + * A mouse move action. + */ + export interface Move { + /** + * Specifies the event type. For a move action, this property is always set to + * `move`. + */ + type: 'move'; + + /** + * The x-coordinate to move to. + */ + x: number; + + /** + * The y-coordinate to move to. + */ + y: number; + } + + /** + * A screenshot action. + */ + export interface Screenshot { + /** + * Specifies the event type. For a screenshot action, this property is always set + * to `screenshot`. + */ + type: 'screenshot'; + } + + /** + * A scroll action. + */ + export interface Scroll { + /** + * The horizontal scroll distance. + */ + scroll_x: number; + + /** + * The vertical scroll distance. + */ + scroll_y: number; + + /** + * Specifies the event type. For a scroll action, this property is always set to + * `scroll`. + */ + type: 'scroll'; + + /** + * The x-coordinate where the scroll occurred. + */ + x: number; + + /** + * The y-coordinate where the scroll occurred. + */ + y: number; + } + + /** + * An action to type in text. + */ + export interface Type { + /** + * The text to type. + */ + text: string; + + /** + * Specifies the event type. For a type action, this property is always set to + * `type`. + */ + type: 'type'; + } + + /** + * A wait action. + */ + export interface Wait { + /** + * Specifies the event type. For a wait action, this property is always set to + * `wait`. + */ + type: 'wait'; + } + + /** + * A pending safety check for the computer call. + */ + export interface PendingSafetyCheck { + /** + * The ID of the pending safety check. + */ + id: string; + + /** + * The type of the pending safety check. + */ + code: string; + + /** + * Details about the pending safety check. + */ + message: string; + } +} + +export interface ResponseComputerToolCallOutputItem { + /** + * The unique ID of the computer call tool output. + */ + id: string; + + /** + * The ID of the computer tool call that produced the output. + */ + call_id: string; + + /** + * A computer screenshot image used with the computer use tool. + */ + output: ResponseComputerToolCallOutputScreenshot; + + /** + * The type of the computer tool call output. Always `computer_call_output`. + */ + type: 'computer_call_output'; + + /** + * The safety checks reported by the API that have been acknowledged by the + * developer. + */ + acknowledged_safety_checks?: Array; + + /** + * The status of the message input. One of `in_progress`, `completed`, or + * `incomplete`. Populated when input items are returned via API. + */ + status?: 'in_progress' | 'completed' | 'incomplete'; +} + +export namespace ResponseComputerToolCallOutputItem { + /** + * A pending safety check for the computer call. + */ + export interface AcknowledgedSafetyCheck { + /** + * The ID of the pending safety check. + */ + id: string; + + /** + * The type of the pending safety check. + */ + code: string; + + /** + * Details about the pending safety check. + */ + message: string; + } +} + +/** + * A computer screenshot image used with the computer use tool. + */ +export interface ResponseComputerToolCallOutputScreenshot { + /** + * Specifies the event type. For a computer screenshot, this property is always set + * to `computer_screenshot`. + */ + type: 'computer_screenshot'; + + /** + * The identifier of an uploaded file that contains the screenshot. + */ + file_id?: string; + + /** + * The URL of the screenshot image. + */ + image_url?: string; +} + +/** + * Multi-modal input and output contents. + */ +export type ResponseContent = + | ResponseInputText + | ResponseInputImage + | ResponseInputFile + | ResponseOutputText + | ResponseOutputRefusal; + +/** + * Emitted when a new content part is added. + */ +export interface ResponseContentPartAddedEvent { + /** + * The index of the content part that was added. + */ + content_index: number; + + /** + * The ID of the output item that the content part was added to. + */ + item_id: string; + + /** + * The index of the output item that the content part was added to. + */ + output_index: number; + + /** + * The content part that was added. + */ + part: ResponseOutputText | ResponseOutputRefusal; + + /** + * The type of the event. Always `response.content_part.added`. + */ + type: 'response.content_part.added'; +} + +/** + * Emitted when a content part is done. + */ +export interface ResponseContentPartDoneEvent { + /** + * The index of the content part that is done. + */ + content_index: number; + + /** + * The ID of the output item that the content part was added to. + */ + item_id: string; + + /** + * The index of the output item that the content part was added to. + */ + output_index: number; + + /** + * The content part that is done. + */ + part: ResponseOutputText | ResponseOutputRefusal; + + /** + * The type of the event. Always `response.content_part.done`. + */ + type: 'response.content_part.done'; +} + +/** + * An event that is emitted when a response is created. + */ +export interface ResponseCreatedEvent { + /** + * The response that was created. + */ + response: Response; + + /** + * The type of the event. Always `response.created`. + */ + type: 'response.created'; +} + +/** + * An error object returned when the model fails to generate a Response. + */ +export interface ResponseError { + /** + * The error code for the response. + */ + code: + | 'server_error' + | 'rate_limit_exceeded' + | 'invalid_prompt' + | 'vector_store_timeout' + | 'invalid_image' + | 'invalid_image_format' + | 'invalid_base64_image' + | 'invalid_image_url' + | 'image_too_large' + | 'image_too_small' + | 'image_parse_error' + | 'image_content_policy_violation' + | 'invalid_image_mode' + | 'image_file_too_large' + | 'unsupported_image_media_type' + | 'empty_image_file' + | 'failed_to_download_image' + | 'image_file_not_found'; + + /** + * A human-readable description of the error. + */ + message: string; +} + +/** + * Emitted when an error occurs. + */ +export interface ResponseErrorEvent { + /** + * The error code. + */ + code: string | null; + + /** + * The error message. + */ + message: string; + + /** + * The error parameter. + */ + param: string | null; + + /** + * The type of the event. Always `error`. + */ + type: 'error'; +} + +/** + * An event that is emitted when a response fails. + */ +export interface ResponseFailedEvent { + /** + * The response that failed. + */ + response: Response; + + /** + * The type of the event. Always `response.failed`. + */ + type: 'response.failed'; +} + +/** + * Emitted when a file search call is completed (results found). + */ +export interface ResponseFileSearchCallCompletedEvent { + /** + * The ID of the output item that the file search call is initiated. + */ + item_id: string; + + /** + * The index of the output item that the file search call is initiated. + */ + output_index: number; + + /** + * The type of the event. Always `response.file_search_call.completed`. + */ + type: 'response.file_search_call.completed'; +} + +/** + * Emitted when a file search call is initiated. + */ +export interface ResponseFileSearchCallInProgressEvent { + /** + * The ID of the output item that the file search call is initiated. + */ + item_id: string; + + /** + * The index of the output item that the file search call is initiated. + */ + output_index: number; + + /** + * The type of the event. Always `response.file_search_call.in_progress`. + */ + type: 'response.file_search_call.in_progress'; +} + +/** + * Emitted when a file search is currently searching. + */ +export interface ResponseFileSearchCallSearchingEvent { + /** + * The ID of the output item that the file search call is initiated. + */ + item_id: string; + + /** + * The index of the output item that the file search call is searching. + */ + output_index: number; + + /** + * The type of the event. Always `response.file_search_call.searching`. + */ + type: 'response.file_search_call.searching'; +} + +/** + * The results of a file search tool call. See the + * [file search guide](https://platform.openai.com/docs/guides/tools-file-search) + * for more information. + */ +export interface ResponseFileSearchToolCall { + /** + * The unique ID of the file search tool call. + */ + id: string; + + /** + * The queries used to search for files. + */ + queries: Array; + + /** + * The status of the file search tool call. One of `in_progress`, `searching`, + * `incomplete` or `failed`, + */ + status: 'in_progress' | 'searching' | 'completed' | 'incomplete' | 'failed'; + + /** + * The type of the file search tool call. Always `file_search_call`. + */ + type: 'file_search_call'; + + /** + * The results of the file search tool call. + */ + results?: Array | null; +} + +export namespace ResponseFileSearchToolCall { + export interface Result { + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. Keys are strings with a maximum + * length of 64 characters. Values are strings with a maximum length of 512 + * characters, booleans, or numbers. + */ + attributes?: Record | null; + + /** + * The unique ID of the file. + */ + file_id?: string; + + /** + * The name of the file. + */ + filename?: string; + + /** + * The relevance score of the file - a value between 0 and 1. + */ + score?: number; + + /** + * The text that was retrieved from the file. + */ + text?: string; + } +} + +/** + * An object specifying the format that the model must output. + * + * Configuring `{ "type": "json_schema" }` enables Structured Outputs, which + * ensures the model will match your supplied JSON schema. Learn more in the + * [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). + * + * The default format is `{ "type": "text" }` with no additional options. + * + * **Not recommended for gpt-4o and newer models:** + * + * Setting to `{ "type": "json_object" }` enables the older JSON mode, which + * ensures the message the model generates is valid JSON. Using `json_schema` is + * preferred for models that support it. + */ +export type ResponseFormatTextConfig = + | Shared.ResponseFormatText + | ResponseFormatTextJSONSchemaConfig + | Shared.ResponseFormatJSONObject; + +/** + * JSON Schema response format. Used to generate structured JSON responses. Learn + * more about + * [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs). + */ +export interface ResponseFormatTextJSONSchemaConfig { + /** + * The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores + * and dashes, with a maximum length of 64. + */ + name: string; + + /** + * The schema for the response format, described as a JSON Schema object. Learn how + * to build JSON schemas [here](https://json-schema.org/). + */ + schema: Record; + + /** + * The type of response format being defined. Always `json_schema`. + */ + type: 'json_schema'; + + /** + * A description of what the response format is for, used by the model to determine + * how to respond in the format. + */ + description?: string; + + /** + * Whether to enable strict schema adherence when generating the output. If set to + * true, the model will always follow the exact schema defined in the `schema` + * field. Only a subset of JSON Schema is supported when `strict` is `true`. To + * learn more, read the + * [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). + */ + strict?: boolean | null; +} + +/** + * Emitted when there is a partial function-call arguments delta. + */ +export interface ResponseFunctionCallArgumentsDeltaEvent { + /** + * The function-call arguments delta that is added. + */ + delta: string; + + /** + * The ID of the output item that the function-call arguments delta is added to. + */ + item_id: string; + + /** + * The index of the output item that the function-call arguments delta is added to. + */ + output_index: number; + + /** + * The type of the event. Always `response.function_call_arguments.delta`. + */ + type: 'response.function_call_arguments.delta'; +} + +/** + * Emitted when function-call arguments are finalized. + */ +export interface ResponseFunctionCallArgumentsDoneEvent { + /** + * The function-call arguments. + */ + arguments: string; + + /** + * The ID of the item. + */ + item_id: string; + + /** + * The index of the output item. + */ + output_index: number; + + type: 'response.function_call_arguments.done'; +} + +/** + * A tool call to run a function. See the + * [function calling guide](https://platform.openai.com/docs/guides/function-calling) + * for more information. + */ +export interface ResponseFunctionToolCall { + /** + * A JSON string of the arguments to pass to the function. + */ + arguments: string; + + /** + * The unique ID of the function tool call generated by the model. + */ + call_id: string; + + /** + * The name of the function to run. + */ + name: string; + + /** + * The type of the function tool call. Always `function_call`. + */ + type: 'function_call'; + + /** + * The unique ID of the function tool call. + */ + id?: string; + + /** + * The status of the item. One of `in_progress`, `completed`, or `incomplete`. + * Populated when items are returned via API. + */ + status?: 'in_progress' | 'completed' | 'incomplete'; +} + +/** + * A tool call to run a function. See the + * [function calling guide](https://platform.openai.com/docs/guides/function-calling) + * for more information. + */ +export interface ResponseFunctionToolCallItem extends ResponseFunctionToolCall { + /** + * The unique ID of the function tool call. + */ + id: string; +} + +export interface ResponseFunctionToolCallOutputItem { + /** + * The unique ID of the function call tool output. + */ + id: string; + + /** + * The unique ID of the function tool call generated by the model. + */ + call_id: string; + + /** + * A JSON string of the output of the function tool call. + */ + output: string; + + /** + * The type of the function tool call output. Always `function_call_output`. + */ + type: 'function_call_output'; + + /** + * The status of the item. One of `in_progress`, `completed`, or `incomplete`. + * Populated when items are returned via API. + */ + status?: 'in_progress' | 'completed' | 'incomplete'; +} + +/** + * The results of a web search tool call. See the + * [web search guide](https://platform.openai.com/docs/guides/tools-web-search) for + * more information. + */ +export interface ResponseFunctionWebSearch { + /** + * The unique ID of the web search tool call. + */ + id: string; + + /** + * The status of the web search tool call. + */ + status: 'in_progress' | 'searching' | 'completed' | 'failed'; + + /** + * The type of the web search tool call. Always `web_search_call`. + */ + type: 'web_search_call'; +} + +/** + * Emitted when the response is in progress. + */ +export interface ResponseInProgressEvent { + /** + * The response that is in progress. + */ + response: Response; + + /** + * The type of the event. Always `response.in_progress`. + */ + type: 'response.in_progress'; +} + +/** + * Specify additional output data to include in the model response. Currently + * supported values are: + * + * - `file_search_call.results`: Include the search results of the file search tool + * call. + * - `message.input_image.image_url`: Include image urls from the input message. + * - `computer_call_output.output.image_url`: Include image urls from the computer + * call output. + * - `reasoning.encrypted_content`: Includes an encrypted version of reasoning + * tokens in reasoning item outputs. This enables reasoning items to be used in + * multi-turn conversations when using the Responses API statelessly (like when + * the `store` parameter is set to `false`, or when an organization is enrolled + * in the zero data retention program). + */ +export type ResponseIncludable = + | 'file_search_call.results' + | 'message.input_image.image_url' + | 'computer_call_output.output.image_url' + | 'reasoning.encrypted_content'; + +/** + * An event that is emitted when a response finishes as incomplete. + */ +export interface ResponseIncompleteEvent { + /** + * The response that was incomplete. + */ + response: Response; + + /** + * The type of the event. Always `response.incomplete`. + */ + type: 'response.incomplete'; +} + +/** + * A list of one or many input items to the model, containing different content + * types. + */ +export type ResponseInput = Array; + +/** + * An audio input to the model. + */ +export interface ResponseInputAudio { + /** + * Base64-encoded audio data. + */ + data: string; + + /** + * The format of the audio data. Currently supported formats are `mp3` and `wav`. + */ + format: 'mp3' | 'wav'; + + /** + * The type of the input item. Always `input_audio`. + */ + type: 'input_audio'; +} + +/** + * A text input to the model. + */ +export type ResponseInputContent = ResponseInputText | ResponseInputImage | ResponseInputFile; + +/** + * A file input to the model. + */ +export interface ResponseInputFile { + /** + * The type of the input item. Always `input_file`. + */ + type: 'input_file'; + + /** + * The content of the file to be sent to the model. + */ + file_data?: string; + + /** + * The ID of the file to be sent to the model. + */ + file_id?: string | null; + + /** + * The name of the file to be sent to the model. + */ + filename?: string; +} + +/** + * An image input to the model. Learn about + * [image inputs](https://platform.openai.com/docs/guides/vision). + */ +export interface ResponseInputImage { + /** + * The detail level of the image to be sent to the model. One of `high`, `low`, or + * `auto`. Defaults to `auto`. + */ + detail: 'low' | 'high' | 'auto'; + + /** + * The type of the input item. Always `input_image`. + */ + type: 'input_image'; + + /** + * The ID of the file to be sent to the model. + */ + file_id?: string | null; + + /** + * The URL of the image to be sent to the model. A fully qualified URL or base64 + * encoded image in a data URL. + */ + image_url?: string | null; +} + +/** + * A message input to the model with a role indicating instruction following + * hierarchy. Instructions given with the `developer` or `system` role take + * precedence over instructions given with the `user` role. Messages with the + * `assistant` role are presumed to have been generated by the model in previous + * interactions. + */ +export type ResponseInputItem = + | EasyInputMessage + | ResponseInputItem.Message + | ResponseOutputMessage + | ResponseFileSearchToolCall + | ResponseComputerToolCall + | ResponseInputItem.ComputerCallOutput + | ResponseFunctionWebSearch + | ResponseFunctionToolCall + | ResponseInputItem.FunctionCallOutput + | ResponseReasoningItem + | ResponseInputItem.ItemReference; + +export namespace ResponseInputItem { + /** + * A message input to the model with a role indicating instruction following + * hierarchy. Instructions given with the `developer` or `system` role take + * precedence over instructions given with the `user` role. + */ + export interface Message { + /** + * A list of one or many input items to the model, containing different content + * types. + */ + content: ResponsesAPI.ResponseInputMessageContentList; + + /** + * The role of the message input. One of `user`, `system`, or `developer`. + */ + role: 'user' | 'system' | 'developer'; + + /** + * The status of item. One of `in_progress`, `completed`, or `incomplete`. + * Populated when items are returned via API. + */ + status?: 'in_progress' | 'completed' | 'incomplete'; + + /** + * The type of the message input. Always set to `message`. + */ + type?: 'message'; + } + + /** + * The output of a computer tool call. + */ + export interface ComputerCallOutput { + /** + * The ID of the computer tool call that produced the output. + */ + call_id: string; + + /** + * A computer screenshot image used with the computer use tool. + */ + output: ResponsesAPI.ResponseComputerToolCallOutputScreenshot; + + /** + * The type of the computer tool call output. Always `computer_call_output`. + */ + type: 'computer_call_output'; + + /** + * The ID of the computer tool call output. + */ + id?: string | null; + + /** + * The safety checks reported by the API that have been acknowledged by the + * developer. + */ + acknowledged_safety_checks?: Array | null; + + /** + * The status of the message input. One of `in_progress`, `completed`, or + * `incomplete`. Populated when input items are returned via API. + */ + status?: 'in_progress' | 'completed' | 'incomplete' | null; + } + + export namespace ComputerCallOutput { + /** + * A pending safety check for the computer call. + */ + export interface AcknowledgedSafetyCheck { + /** + * The ID of the pending safety check. + */ + id: string; + + /** + * The type of the pending safety check. + */ + code?: string | null; + + /** + * Details about the pending safety check. + */ + message?: string | null; + } + } + + /** + * The output of a function tool call. + */ + export interface FunctionCallOutput { + /** + * The unique ID of the function tool call generated by the model. + */ + call_id: string; + + /** + * A JSON string of the output of the function tool call. + */ + output: string; + + /** + * The type of the function tool call output. Always `function_call_output`. + */ + type: 'function_call_output'; + + /** + * The unique ID of the function tool call output. Populated when this item is + * returned via API. + */ + id?: string | null; + + /** + * The status of the item. One of `in_progress`, `completed`, or `incomplete`. + * Populated when items are returned via API. + */ + status?: 'in_progress' | 'completed' | 'incomplete' | null; + } + + /** + * An internal identifier for an item to reference. + */ + export interface ItemReference { + /** + * The ID of the item to reference. + */ + id: string; + + /** + * The type of item to reference. Always `item_reference`. + */ + type?: 'item_reference' | null; + } +} + +/** + * A list of one or many input items to the model, containing different content + * types. + */ +export type ResponseInputMessageContentList = Array; + +export interface ResponseInputMessageItem { + /** + * The unique ID of the message input. + */ + id: string; + + /** + * A list of one or many input items to the model, containing different content + * types. + */ + content: ResponseInputMessageContentList; + + /** + * The role of the message input. One of `user`, `system`, or `developer`. + */ + role: 'user' | 'system' | 'developer'; + + /** + * The status of item. One of `in_progress`, `completed`, or `incomplete`. + * Populated when items are returned via API. + */ + status?: 'in_progress' | 'completed' | 'incomplete'; + + /** + * The type of the message input. Always set to `message`. + */ + type?: 'message'; +} + +/** + * A text input to the model. + */ +export interface ResponseInputText { + /** + * The text input to the model. + */ + text: string; + + /** + * The type of the input item. Always `input_text`. + */ + type: 'input_text'; +} + +/** + * Content item used to generate a response. + */ +export type ResponseItem = + | ResponseInputMessageItem + | ResponseOutputMessage + | ResponseFileSearchToolCall + | ResponseComputerToolCall + | ResponseComputerToolCallOutputItem + | ResponseFunctionWebSearch + | ResponseFunctionToolCallItem + | ResponseFunctionToolCallOutputItem; + +/** + * An audio output from the model. + */ +export interface ResponseOutputAudio { + /** + * Base64-encoded audio data from the model. + */ + data: string; + + /** + * The transcript of the audio data from the model. + */ + transcript: string; + + /** + * The type of the output audio. Always `output_audio`. + */ + type: 'output_audio'; +} + +/** + * An output message from the model. + */ +export type ResponseOutputItem = + | ResponseOutputMessage + | ResponseFileSearchToolCall + | ResponseFunctionToolCall + | ResponseFunctionWebSearch + | ResponseComputerToolCall + | ResponseReasoningItem; + +/** + * Emitted when a new output item is added. + */ +export interface ResponseOutputItemAddedEvent { + /** + * The output item that was added. + */ + item: ResponseOutputItem; + + /** + * The index of the output item that was added. + */ + output_index: number; + + /** + * The type of the event. Always `response.output_item.added`. + */ + type: 'response.output_item.added'; +} + +/** + * Emitted when an output item is marked done. + */ +export interface ResponseOutputItemDoneEvent { + /** + * The output item that was marked done. + */ + item: ResponseOutputItem; + + /** + * The index of the output item that was marked done. + */ + output_index: number; + + /** + * The type of the event. Always `response.output_item.done`. + */ + type: 'response.output_item.done'; +} + +/** + * An output message from the model. + */ +export interface ResponseOutputMessage { + /** + * The unique ID of the output message. + */ + id: string; + + /** + * The content of the output message. + */ + content: Array; + + /** + * The role of the output message. Always `assistant`. + */ + role: 'assistant'; + + /** + * The status of the message input. One of `in_progress`, `completed`, or + * `incomplete`. Populated when input items are returned via API. + */ + status: 'in_progress' | 'completed' | 'incomplete'; + + /** + * The type of the output message. Always `message`. + */ + type: 'message'; +} + +/** + * A refusal from the model. + */ +export interface ResponseOutputRefusal { + /** + * The refusal explanationfrom the model. + */ + refusal: string; + + /** + * The type of the refusal. Always `refusal`. + */ + type: 'refusal'; +} + +/** + * A text output from the model. + */ +export interface ResponseOutputText { + /** + * The annotations of the text output. + */ + annotations: Array< + ResponseOutputText.FileCitation | ResponseOutputText.URLCitation | ResponseOutputText.FilePath + >; + + /** + * The text output from the model. + */ + text: string; + + /** + * The type of the output text. Always `output_text`. + */ + type: 'output_text'; +} + +export namespace ResponseOutputText { + /** + * A citation to a file. + */ + export interface FileCitation { + /** + * The ID of the file. + */ + file_id: string; + + /** + * The index of the file in the list of files. + */ + index: number; + + /** + * The type of the file citation. Always `file_citation`. + */ + type: 'file_citation'; + } + + /** + * A citation for a web resource used to generate a model response. + */ + export interface URLCitation { + /** + * The index of the last character of the URL citation in the message. + */ + end_index: number; + + /** + * The index of the first character of the URL citation in the message. + */ + start_index: number; + + /** + * The title of the web resource. + */ + title: string; + + /** + * The type of the URL citation. Always `url_citation`. + */ + type: 'url_citation'; + + /** + * The URL of the web resource. + */ + url: string; + } + + /** + * A path to a file. + */ + export interface FilePath { + /** + * The ID of the file. + */ + file_id: string; + + /** + * The index of the file in the list of files. + */ + index: number; + + /** + * The type of the file path. Always `file_path`. + */ + type: 'file_path'; + } +} + +/** + * A description of the chain of thought used by a reasoning model while generating + * a response. Be sure to include these items in your `input` to the Responses API + * for subsequent turns of a conversation if you are manually + * [managing context](https://platform.openai.com/docs/guides/conversation-state). + */ +export interface ResponseReasoningItem { + /** + * The unique identifier of the reasoning content. + */ + id: string; + + /** + * Reasoning text contents. + */ + summary: Array; + + /** + * The type of the object. Always `reasoning`. + */ + type: 'reasoning'; + + /** + * The encrypted content of the reasoning item - populated when a response is + * generated with `reasoning.encrypted_content` in the `include` parameter. + */ + encrypted_content?: string | null; + + /** + * The status of the item. One of `in_progress`, `completed`, or `incomplete`. + * Populated when items are returned via API. + */ + status?: 'in_progress' | 'completed' | 'incomplete'; +} + +export namespace ResponseReasoningItem { + export interface Summary { + /** + * A short summary of the reasoning used by the model when generating the response. + */ + text: string; + + /** + * The type of the object. Always `summary_text`. + */ + type: 'summary_text'; + } +} + +/** + * Emitted when a new reasoning summary part is added. + */ +export interface ResponseReasoningSummaryPartAddedEvent { + /** + * The ID of the item this summary part is associated with. + */ + item_id: string; + + /** + * The index of the output item this summary part is associated with. + */ + output_index: number; + + /** + * The summary part that was added. + */ + part: ResponseReasoningSummaryPartAddedEvent.Part; + + /** + * The index of the summary part within the reasoning summary. + */ + summary_index: number; + + /** + * The type of the event. Always `response.reasoning_summary_part.added`. + */ + type: 'response.reasoning_summary_part.added'; +} + +export namespace ResponseReasoningSummaryPartAddedEvent { + /** + * The summary part that was added. + */ + export interface Part { + /** + * The text of the summary part. + */ + text: string; + + /** + * The type of the summary part. Always `summary_text`. + */ + type: 'summary_text'; + } +} + +/** + * Emitted when a reasoning summary part is completed. + */ +export interface ResponseReasoningSummaryPartDoneEvent { + /** + * The ID of the item this summary part is associated with. + */ + item_id: string; + + /** + * The index of the output item this summary part is associated with. + */ + output_index: number; + + /** + * The completed summary part. + */ + part: ResponseReasoningSummaryPartDoneEvent.Part; + + /** + * The index of the summary part within the reasoning summary. + */ + summary_index: number; + + /** + * The type of the event. Always `response.reasoning_summary_part.done`. + */ + type: 'response.reasoning_summary_part.done'; +} + +export namespace ResponseReasoningSummaryPartDoneEvent { + /** + * The completed summary part. + */ + export interface Part { + /** + * The text of the summary part. + */ + text: string; + + /** + * The type of the summary part. Always `summary_text`. + */ + type: 'summary_text'; + } +} + +/** + * Emitted when a delta is added to a reasoning summary text. + */ +export interface ResponseReasoningSummaryTextDeltaEvent { + /** + * The text delta that was added to the summary. + */ + delta: string; + + /** + * The ID of the item this summary text delta is associated with. + */ + item_id: string; + + /** + * The index of the output item this summary text delta is associated with. + */ + output_index: number; + + /** + * The index of the summary part within the reasoning summary. + */ + summary_index: number; + + /** + * The type of the event. Always `response.reasoning_summary_text.delta`. + */ + type: 'response.reasoning_summary_text.delta'; +} + +/** + * Emitted when a reasoning summary text is completed. + */ +export interface ResponseReasoningSummaryTextDoneEvent { + /** + * The ID of the item this summary text is associated with. + */ + item_id: string; + + /** + * The index of the output item this summary text is associated with. + */ + output_index: number; + + /** + * The index of the summary part within the reasoning summary. + */ + summary_index: number; + + /** + * The full text of the completed reasoning summary. + */ + text: string; + + /** + * The type of the event. Always `response.reasoning_summary_text.done`. + */ + type: 'response.reasoning_summary_text.done'; +} + +/** + * Emitted when there is a partial refusal text. + */ +export interface ResponseRefusalDeltaEvent { + /** + * The index of the content part that the refusal text is added to. + */ + content_index: number; + + /** + * The refusal text that is added. + */ + delta: string; + + /** + * The ID of the output item that the refusal text is added to. + */ + item_id: string; + + /** + * The index of the output item that the refusal text is added to. + */ + output_index: number; + + /** + * The type of the event. Always `response.refusal.delta`. + */ + type: 'response.refusal.delta'; +} + +/** + * Emitted when refusal text is finalized. + */ +export interface ResponseRefusalDoneEvent { + /** + * The index of the content part that the refusal text is finalized. + */ + content_index: number; + + /** + * The ID of the output item that the refusal text is finalized. + */ + item_id: string; + + /** + * The index of the output item that the refusal text is finalized. + */ + output_index: number; + + /** + * The refusal text that is finalized. + */ + refusal: string; + + /** + * The type of the event. Always `response.refusal.done`. + */ + type: 'response.refusal.done'; +} + +/** + * The status of the response generation. One of `completed`, `failed`, + * `in_progress`, or `incomplete`. + */ +export type ResponseStatus = 'completed' | 'failed' | 'in_progress' | 'incomplete'; + +/** + * Emitted when there is a partial audio response. + */ +export type ResponseStreamEvent = + | ResponseAudioDeltaEvent + | ResponseAudioDoneEvent + | ResponseAudioTranscriptDeltaEvent + | ResponseAudioTranscriptDoneEvent + | ResponseCodeInterpreterCallCodeDeltaEvent + | ResponseCodeInterpreterCallCodeDoneEvent + | ResponseCodeInterpreterCallCompletedEvent + | ResponseCodeInterpreterCallInProgressEvent + | ResponseCodeInterpreterCallInterpretingEvent + | ResponseCompletedEvent + | ResponseContentPartAddedEvent + | ResponseContentPartDoneEvent + | ResponseCreatedEvent + | ResponseErrorEvent + | ResponseFileSearchCallCompletedEvent + | ResponseFileSearchCallInProgressEvent + | ResponseFileSearchCallSearchingEvent + | ResponseFunctionCallArgumentsDeltaEvent + | ResponseFunctionCallArgumentsDoneEvent + | ResponseInProgressEvent + | ResponseFailedEvent + | ResponseIncompleteEvent + | ResponseOutputItemAddedEvent + | ResponseOutputItemDoneEvent + | ResponseReasoningSummaryPartAddedEvent + | ResponseReasoningSummaryPartDoneEvent + | ResponseReasoningSummaryTextDeltaEvent + | ResponseReasoningSummaryTextDoneEvent + | ResponseRefusalDeltaEvent + | ResponseRefusalDoneEvent + | ResponseTextAnnotationDeltaEvent + | ResponseTextDeltaEvent + | ResponseTextDoneEvent + | ResponseWebSearchCallCompletedEvent + | ResponseWebSearchCallInProgressEvent + | ResponseWebSearchCallSearchingEvent; + +/** + * Emitted when a text annotation is added. + */ +export interface ResponseTextAnnotationDeltaEvent { + /** + * A citation to a file. + */ + annotation: + | ResponseTextAnnotationDeltaEvent.FileCitation + | ResponseTextAnnotationDeltaEvent.URLCitation + | ResponseTextAnnotationDeltaEvent.FilePath; + + /** + * The index of the annotation that was added. + */ + annotation_index: number; + + /** + * The index of the content part that the text annotation was added to. + */ + content_index: number; + + /** + * The ID of the output item that the text annotation was added to. + */ + item_id: string; + + /** + * The index of the output item that the text annotation was added to. + */ + output_index: number; + + /** + * The type of the event. Always `response.output_text.annotation.added`. + */ + type: 'response.output_text.annotation.added'; +} + +export namespace ResponseTextAnnotationDeltaEvent { + /** + * A citation to a file. + */ + export interface FileCitation { + /** + * The ID of the file. + */ + file_id: string; + + /** + * The index of the file in the list of files. + */ + index: number; + + /** + * The type of the file citation. Always `file_citation`. + */ + type: 'file_citation'; + } + + /** + * A citation for a web resource used to generate a model response. + */ + export interface URLCitation { + /** + * The index of the last character of the URL citation in the message. + */ + end_index: number; + + /** + * The index of the first character of the URL citation in the message. + */ + start_index: number; + + /** + * The title of the web resource. + */ + title: string; + + /** + * The type of the URL citation. Always `url_citation`. + */ + type: 'url_citation'; + + /** + * The URL of the web resource. + */ + url: string; + } + + /** + * A path to a file. + */ + export interface FilePath { + /** + * The ID of the file. + */ + file_id: string; + + /** + * The index of the file in the list of files. + */ + index: number; + + /** + * The type of the file path. Always `file_path`. + */ + type: 'file_path'; + } +} + +/** + * Configuration options for a text response from the model. Can be plain text or + * structured JSON data. Learn more: + * + * - [Text inputs and outputs](https://platform.openai.com/docs/guides/text) + * - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs) + */ +export interface ResponseTextConfig { + /** + * An object specifying the format that the model must output. + * + * Configuring `{ "type": "json_schema" }` enables Structured Outputs, which + * ensures the model will match your supplied JSON schema. Learn more in the + * [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). + * + * The default format is `{ "type": "text" }` with no additional options. + * + * **Not recommended for gpt-4o and newer models:** + * + * Setting to `{ "type": "json_object" }` enables the older JSON mode, which + * ensures the message the model generates is valid JSON. Using `json_schema` is + * preferred for models that support it. + */ + format?: ResponseFormatTextConfig; +} + +/** + * Emitted when there is an additional text delta. + */ +export interface ResponseTextDeltaEvent { + /** + * The index of the content part that the text delta was added to. + */ + content_index: number; + + /** + * The text delta that was added. + */ + delta: string; + + /** + * The ID of the output item that the text delta was added to. + */ + item_id: string; + + /** + * The index of the output item that the text delta was added to. + */ + output_index: number; + + /** + * The type of the event. Always `response.output_text.delta`. + */ + type: 'response.output_text.delta'; +} + +/** + * Emitted when text content is finalized. + */ +export interface ResponseTextDoneEvent { + /** + * The index of the content part that the text content is finalized. + */ + content_index: number; + + /** + * The ID of the output item that the text content is finalized. + */ + item_id: string; + + /** + * The index of the output item that the text content is finalized. + */ + output_index: number; + + /** + * The text content that is finalized. + */ + text: string; + + /** + * The type of the event. Always `response.output_text.done`. + */ + type: 'response.output_text.done'; +} + +/** + * Represents token usage details including input tokens, output tokens, a + * breakdown of output tokens, and the total tokens used. + */ +export interface ResponseUsage { + /** + * The number of input tokens. + */ + input_tokens: number; + + /** + * A detailed breakdown of the input tokens. + */ + input_tokens_details: ResponseUsage.InputTokensDetails; + + /** + * The number of output tokens. + */ + output_tokens: number; + + /** + * A detailed breakdown of the output tokens. + */ + output_tokens_details: ResponseUsage.OutputTokensDetails; + + /** + * The total number of tokens used. + */ + total_tokens: number; +} + +export namespace ResponseUsage { + /** + * A detailed breakdown of the input tokens. + */ + export interface InputTokensDetails { + /** + * The number of tokens that were retrieved from the cache. + * [More on prompt caching](https://platform.openai.com/docs/guides/prompt-caching). + */ + cached_tokens: number; + } + + /** + * A detailed breakdown of the output tokens. + */ + export interface OutputTokensDetails { + /** + * The number of reasoning tokens. + */ + reasoning_tokens: number; + } +} + +/** + * Emitted when a web search call is completed. + */ +export interface ResponseWebSearchCallCompletedEvent { + /** + * Unique ID for the output item associated with the web search call. + */ + item_id: string; + + /** + * The index of the output item that the web search call is associated with. + */ + output_index: number; + + /** + * The type of the event. Always `response.web_search_call.completed`. + */ + type: 'response.web_search_call.completed'; +} + +/** + * Emitted when a web search call is initiated. + */ +export interface ResponseWebSearchCallInProgressEvent { + /** + * Unique ID for the output item associated with the web search call. + */ + item_id: string; + + /** + * The index of the output item that the web search call is associated with. + */ + output_index: number; + + /** + * The type of the event. Always `response.web_search_call.in_progress`. + */ + type: 'response.web_search_call.in_progress'; +} + +/** + * Emitted when a web search call is executing. + */ +export interface ResponseWebSearchCallSearchingEvent { + /** + * Unique ID for the output item associated with the web search call. + */ + item_id: string; + + /** + * The index of the output item that the web search call is associated with. + */ + output_index: number; + + /** + * The type of the event. Always `response.web_search_call.searching`. + */ + type: 'response.web_search_call.searching'; +} + +/** + * A tool that can be used to generate a response. + */ +export type Tool = FileSearchTool | FunctionTool | WebSearchTool | ComputerTool; + +/** + * Use this option to force the model to call a specific function. + */ +export interface ToolChoiceFunction { + /** + * The name of the function to call. + */ + name: string; + + /** + * For function calling, the type is always `function`. + */ + type: 'function'; +} + +/** + * Controls which (if any) tool is called by the model. + * + * `none` means the model will not call any tool and instead generates a message. + * + * `auto` means the model can pick between generating a message or calling one or + * more tools. + * + * `required` means the model must call one or more tools. + */ +export type ToolChoiceOptions = 'none' | 'auto' | 'required'; + +/** + * Indicates that the model should use a built-in tool to generate a response. + * [Learn more about built-in tools](https://platform.openai.com/docs/guides/tools). + */ +export interface ToolChoiceTypes { + /** + * The type of hosted tool the model should to use. Learn more about + * [built-in tools](https://platform.openai.com/docs/guides/tools). + * + * Allowed values are: + * + * - `file_search` + * - `web_search_preview` + * - `computer_use_preview` + */ + type: 'file_search' | 'web_search_preview' | 'computer_use_preview' | 'web_search_preview_2025_03_11'; +} + +/** + * This tool searches the web for relevant results to use in a response. Learn more + * about the + * [web search tool](https://platform.openai.com/docs/guides/tools-web-search). + */ +export interface WebSearchTool { + /** + * The type of the web search tool. One of `web_search_preview` or + * `web_search_preview_2025_03_11`. + */ + type: 'web_search_preview' | 'web_search_preview_2025_03_11'; + + /** + * High level guidance for the amount of context window space to use for the + * search. One of `low`, `medium`, or `high`. `medium` is the default. + */ + search_context_size?: 'low' | 'medium' | 'high'; + + /** + * The user's location. + */ + user_location?: WebSearchTool.UserLocation | null; +} + +export namespace WebSearchTool { + /** + * The user's location. + */ + export interface UserLocation { + /** + * The type of location approximation. Always `approximate`. + */ + type: 'approximate'; + + /** + * Free text input for the city of the user, e.g. `San Francisco`. + */ + city?: string | null; + + /** + * The two-letter [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of + * the user, e.g. `US`. + */ + country?: string | null; + + /** + * Free text input for the region of the user, e.g. `California`. + */ + region?: string | null; + + /** + * The [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the + * user, e.g. `America/Los_Angeles`. + */ + timezone?: string | null; + } +} + +export type ResponseCreateParams = ResponseCreateParamsNonStreaming | ResponseCreateParamsStreaming; + +export interface ResponseCreateParamsBase { + /** + * Text, image, or file inputs to the model, used to generate a response. + * + * Learn more: + * + * - [Text inputs and outputs](https://platform.openai.com/docs/guides/text) + * - [Image inputs](https://platform.openai.com/docs/guides/images) + * - [File inputs](https://platform.openai.com/docs/guides/pdf-files) + * - [Conversation state](https://platform.openai.com/docs/guides/conversation-state) + * - [Function calling](https://platform.openai.com/docs/guides/function-calling) + */ + input: string | ResponseInput; + + /** + * Model ID used to generate the response, like `gpt-4o` or `o3`. OpenAI offers a + * wide range of models with different capabilities, performance characteristics, + * and price points. Refer to the + * [model guide](https://platform.openai.com/docs/models) to browse and compare + * available models. + */ + model: Shared.ResponsesModel; + + /** + * Specify additional output data to include in the model response. Currently + * supported values are: + * + * - `file_search_call.results`: Include the search results of the file search tool + * call. + * - `message.input_image.image_url`: Include image urls from the input message. + * - `computer_call_output.output.image_url`: Include image urls from the computer + * call output. + * - `reasoning.encrypted_content`: Includes an encrypted version of reasoning + * tokens in reasoning item outputs. This enables reasoning items to be used in + * multi-turn conversations when using the Responses API statelessly (like when + * the `store` parameter is set to `false`, or when an organization is enrolled + * in the zero data retention program). + */ + include?: Array | null; + + /** + * Inserts a system (or developer) message as the first item in the model's + * context. + * + * When using along with `previous_response_id`, the instructions from a previous + * response will not be carried over to the next response. This makes it simple to + * swap out system (or developer) messages in new responses. + */ + instructions?: string | null; + + /** + * An upper bound for the number of tokens that can be generated for a response, + * including visible output tokens and + * [reasoning tokens](https://platform.openai.com/docs/guides/reasoning). + */ + max_output_tokens?: number | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + + /** + * Whether to allow the model to run tool calls in parallel. + */ + parallel_tool_calls?: boolean | null; + + /** + * The unique ID of the previous response to the model. Use this to create + * multi-turn conversations. Learn more about + * [conversation state](https://platform.openai.com/docs/guides/conversation-state). + */ + previous_response_id?: string | null; + + /** + * **o-series models only** + * + * Configuration options for + * [reasoning models](https://platform.openai.com/docs/guides/reasoning). + */ + reasoning?: Shared.Reasoning | null; + + /** + * Specifies the latency tier to use for processing the request. This parameter is + * relevant for customers subscribed to the scale tier service: + * + * - If set to 'auto', and the Project is Scale tier enabled, the system will + * utilize scale tier credits until they are exhausted. + * - If set to 'auto', and the Project is not Scale tier enabled, the request will + * be processed using the default service tier with a lower uptime SLA and no + * latency guarentee. + * - If set to 'default', the request will be processed using the default service + * tier with a lower uptime SLA and no latency guarentee. + * - If set to 'flex', the request will be processed with the Flex Processing + * service tier. + * [Learn more](https://platform.openai.com/docs/guides/flex-processing). + * - When not set, the default behavior is 'auto'. + * + * When this parameter is set, the response body will include the `service_tier` + * utilized. + */ + service_tier?: 'auto' | 'default' | 'flex' | null; + + /** + * Whether to store the generated model response for later retrieval via API. + */ + store?: boolean | null; + + /** + * If set to true, the model response data will be streamed to the client as it is + * generated using + * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format). + * See the + * [Streaming section below](https://platform.openai.com/docs/api-reference/responses-streaming) + * for more information. + */ + stream?: boolean | null; + + /** + * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will + * make the output more random, while lower values like 0.2 will make it more + * focused and deterministic. We generally recommend altering this or `top_p` but + * not both. + */ + temperature?: number | null; + + /** + * Configuration options for a text response from the model. Can be plain text or + * structured JSON data. Learn more: + * + * - [Text inputs and outputs](https://platform.openai.com/docs/guides/text) + * - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs) + */ + text?: ResponseTextConfig; + + /** + * How the model should select which tool (or tools) to use when generating a + * response. See the `tools` parameter to see how to specify which tools the model + * can call. + */ + tool_choice?: ToolChoiceOptions | ToolChoiceTypes | ToolChoiceFunction; + + /** + * An array of tools the model may call while generating a response. You can + * specify which tool to use by setting the `tool_choice` parameter. + * + * The two categories of tools you can provide the model are: + * + * - **Built-in tools**: Tools that are provided by OpenAI that extend the model's + * capabilities, like + * [web search](https://platform.openai.com/docs/guides/tools-web-search) or + * [file search](https://platform.openai.com/docs/guides/tools-file-search). + * Learn more about + * [built-in tools](https://platform.openai.com/docs/guides/tools). + * - **Function calls (custom tools)**: Functions that are defined by you, enabling + * the model to call your own code. Learn more about + * [function calling](https://platform.openai.com/docs/guides/function-calling). + */ + tools?: Array; + + /** + * An alternative to sampling with temperature, called nucleus sampling, where the + * model considers the results of the tokens with top_p probability mass. So 0.1 + * means only the tokens comprising the top 10% probability mass are considered. + * + * We generally recommend altering this or `temperature` but not both. + */ + top_p?: number | null; + + /** + * The truncation strategy to use for the model response. + * + * - `auto`: If the context of this response and previous ones exceeds the model's + * context window size, the model will truncate the response to fit the context + * window by dropping input items in the middle of the conversation. + * - `disabled` (default): If a model response will exceed the context window size + * for a model, the request will fail with a 400 error. + */ + truncation?: 'auto' | 'disabled' | null; + + /** + * A unique identifier representing your end-user, which can help OpenAI to monitor + * and detect abuse. + * [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids). + */ + user?: string; +} + +export namespace ResponseCreateParams { + export type ResponseCreateParamsNonStreaming = ResponsesAPI.ResponseCreateParamsNonStreaming; + export type ResponseCreateParamsStreaming = ResponsesAPI.ResponseCreateParamsStreaming; +} + +export interface ResponseCreateParamsNonStreaming extends ResponseCreateParamsBase { + /** + * If set to true, the model response data will be streamed to the client as it is + * generated using + * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format). + * See the + * [Streaming section below](https://platform.openai.com/docs/api-reference/responses-streaming) + * for more information. + */ + stream?: false | null; +} + +export interface ResponseCreateParamsStreaming extends ResponseCreateParamsBase { + /** + * If set to true, the model response data will be streamed to the client as it is + * generated using + * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format). + * See the + * [Streaming section below](https://platform.openai.com/docs/api-reference/responses-streaming) + * for more information. + */ + stream: true; +} + +export interface ResponseRetrieveParams { + /** + * Additional fields to include in the response. See the `include` parameter for + * Response creation above for more information. + */ + include?: Array; +} + +Responses.InputItems = InputItems; + +export declare namespace Responses { + export { + type ComputerTool as ComputerTool, + type EasyInputMessage as EasyInputMessage, + type FileSearchTool as FileSearchTool, + type FunctionTool as FunctionTool, + type Response as Response, + type ResponseAudioDeltaEvent as ResponseAudioDeltaEvent, + type ResponseAudioDoneEvent as ResponseAudioDoneEvent, + type ResponseAudioTranscriptDeltaEvent as ResponseAudioTranscriptDeltaEvent, + type ResponseAudioTranscriptDoneEvent as ResponseAudioTranscriptDoneEvent, + type ResponseCodeInterpreterCallCodeDeltaEvent as ResponseCodeInterpreterCallCodeDeltaEvent, + type ResponseCodeInterpreterCallCodeDoneEvent as ResponseCodeInterpreterCallCodeDoneEvent, + type ResponseCodeInterpreterCallCompletedEvent as ResponseCodeInterpreterCallCompletedEvent, + type ResponseCodeInterpreterCallInProgressEvent as ResponseCodeInterpreterCallInProgressEvent, + type ResponseCodeInterpreterCallInterpretingEvent as ResponseCodeInterpreterCallInterpretingEvent, + type ResponseCodeInterpreterToolCall as ResponseCodeInterpreterToolCall, + type ResponseCompletedEvent as ResponseCompletedEvent, + type ResponseComputerToolCall as ResponseComputerToolCall, + type ResponseComputerToolCallOutputItem as ResponseComputerToolCallOutputItem, + type ResponseComputerToolCallOutputScreenshot as ResponseComputerToolCallOutputScreenshot, + type ResponseContent as ResponseContent, + type ResponseContentPartAddedEvent as ResponseContentPartAddedEvent, + type ResponseContentPartDoneEvent as ResponseContentPartDoneEvent, + type ResponseCreatedEvent as ResponseCreatedEvent, + type ResponseError as ResponseError, + type ResponseErrorEvent as ResponseErrorEvent, + type ResponseFailedEvent as ResponseFailedEvent, + type ResponseFileSearchCallCompletedEvent as ResponseFileSearchCallCompletedEvent, + type ResponseFileSearchCallInProgressEvent as ResponseFileSearchCallInProgressEvent, + type ResponseFileSearchCallSearchingEvent as ResponseFileSearchCallSearchingEvent, + type ResponseFileSearchToolCall as ResponseFileSearchToolCall, + type ResponseFormatTextConfig as ResponseFormatTextConfig, + type ResponseFormatTextJSONSchemaConfig as ResponseFormatTextJSONSchemaConfig, + type ResponseFunctionCallArgumentsDeltaEvent as ResponseFunctionCallArgumentsDeltaEvent, + type ResponseFunctionCallArgumentsDoneEvent as ResponseFunctionCallArgumentsDoneEvent, + type ResponseFunctionToolCall as ResponseFunctionToolCall, + type ResponseFunctionToolCallItem as ResponseFunctionToolCallItem, + type ResponseFunctionToolCallOutputItem as ResponseFunctionToolCallOutputItem, + type ResponseFunctionWebSearch as ResponseFunctionWebSearch, + type ResponseInProgressEvent as ResponseInProgressEvent, + type ResponseIncludable as ResponseIncludable, + type ResponseIncompleteEvent as ResponseIncompleteEvent, + type ResponseInput as ResponseInput, + type ResponseInputAudio as ResponseInputAudio, + type ResponseInputContent as ResponseInputContent, + type ResponseInputFile as ResponseInputFile, + type ResponseInputImage as ResponseInputImage, + type ResponseInputItem as ResponseInputItem, + type ResponseInputMessageContentList as ResponseInputMessageContentList, + type ResponseInputMessageItem as ResponseInputMessageItem, + type ResponseInputText as ResponseInputText, + type ResponseItem as ResponseItem, + type ResponseOutputAudio as ResponseOutputAudio, + type ResponseOutputItem as ResponseOutputItem, + type ResponseOutputItemAddedEvent as ResponseOutputItemAddedEvent, + type ResponseOutputItemDoneEvent as ResponseOutputItemDoneEvent, + type ResponseOutputMessage as ResponseOutputMessage, + type ResponseOutputRefusal as ResponseOutputRefusal, + type ResponseOutputText as ResponseOutputText, + type ResponseReasoningItem as ResponseReasoningItem, + type ResponseReasoningSummaryPartAddedEvent as ResponseReasoningSummaryPartAddedEvent, + type ResponseReasoningSummaryPartDoneEvent as ResponseReasoningSummaryPartDoneEvent, + type ResponseReasoningSummaryTextDeltaEvent as ResponseReasoningSummaryTextDeltaEvent, + type ResponseReasoningSummaryTextDoneEvent as ResponseReasoningSummaryTextDoneEvent, + type ResponseRefusalDeltaEvent as ResponseRefusalDeltaEvent, + type ResponseRefusalDoneEvent as ResponseRefusalDoneEvent, + type ResponseStatus as ResponseStatus, + type ResponseStreamEvent as ResponseStreamEvent, + type ResponseTextAnnotationDeltaEvent as ResponseTextAnnotationDeltaEvent, + type ResponseTextConfig as ResponseTextConfig, + type ResponseTextDeltaEvent as ResponseTextDeltaEvent, + type ResponseTextDoneEvent as ResponseTextDoneEvent, + type ResponseUsage as ResponseUsage, + type ResponseWebSearchCallCompletedEvent as ResponseWebSearchCallCompletedEvent, + type ResponseWebSearchCallInProgressEvent as ResponseWebSearchCallInProgressEvent, + type ResponseWebSearchCallSearchingEvent as ResponseWebSearchCallSearchingEvent, + type Tool as Tool, + type ToolChoiceFunction as ToolChoiceFunction, + type ToolChoiceOptions as ToolChoiceOptions, + type ToolChoiceTypes as ToolChoiceTypes, + type WebSearchTool as WebSearchTool, + type ResponseCreateParams as ResponseCreateParams, + type ResponseCreateParamsNonStreaming as ResponseCreateParamsNonStreaming, + type ResponseCreateParamsStreaming as ResponseCreateParamsStreaming, + type ResponseRetrieveParams as ResponseRetrieveParams, + }; + + export { + InputItems as InputItems, + type ResponseItemList as ResponseItemList, + type InputItemListParams as InputItemListParams, + }; +} diff --git a/src/resources/shared.ts b/src/resources/shared.ts new file mode 100644 index 000000000..adea184fd --- /dev/null +++ b/src/resources/shared.ts @@ -0,0 +1,300 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +export type AllModels = + | (string & {}) + | ChatModel + | 'o1-pro' + | 'o1-pro-2025-03-19' + | 'computer-use-preview' + | 'computer-use-preview-2025-03-11'; + +export type ChatModel = + | 'gpt-4.1' + | 'gpt-4.1-mini' + | 'gpt-4.1-nano' + | 'gpt-4.1-2025-04-14' + | 'gpt-4.1-mini-2025-04-14' + | 'gpt-4.1-nano-2025-04-14' + | 'o4-mini' + | 'o4-mini-2025-04-16' + | 'o3' + | 'o3-2025-04-16' + | 'o3-mini' + | 'o3-mini-2025-01-31' + | 'o1' + | 'o1-2024-12-17' + | 'o1-preview' + | 'o1-preview-2024-09-12' + | 'o1-mini' + | 'o1-mini-2024-09-12' + | 'gpt-4o' + | 'gpt-4o-2024-11-20' + | 'gpt-4o-2024-08-06' + | 'gpt-4o-2024-05-13' + | 'gpt-4o-audio-preview' + | 'gpt-4o-audio-preview-2024-10-01' + | 'gpt-4o-audio-preview-2024-12-17' + | 'gpt-4o-mini-audio-preview' + | 'gpt-4o-mini-audio-preview-2024-12-17' + | 'gpt-4o-search-preview' + | 'gpt-4o-mini-search-preview' + | 'gpt-4o-search-preview-2025-03-11' + | 'gpt-4o-mini-search-preview-2025-03-11' + | 'chatgpt-4o-latest' + | 'codex-mini-latest' + | 'gpt-4o-mini' + | 'gpt-4o-mini-2024-07-18' + | 'gpt-4-turbo' + | 'gpt-4-turbo-2024-04-09' + | 'gpt-4-0125-preview' + | 'gpt-4-turbo-preview' + | 'gpt-4-1106-preview' + | 'gpt-4-vision-preview' + | 'gpt-4' + | 'gpt-4-0314' + | 'gpt-4-0613' + | 'gpt-4-32k' + | 'gpt-4-32k-0314' + | 'gpt-4-32k-0613' + | 'gpt-3.5-turbo' + | 'gpt-3.5-turbo-16k' + | 'gpt-3.5-turbo-0301' + | 'gpt-3.5-turbo-0613' + | 'gpt-3.5-turbo-1106' + | 'gpt-3.5-turbo-0125' + | 'gpt-3.5-turbo-16k-0613'; + +/** + * A filter used to compare a specified attribute key to a given value using a + * defined comparison operation. + */ +export interface ComparisonFilter { + /** + * The key to compare against the value. + */ + key: string; + + /** + * Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`, `lte`. + * + * - `eq`: equals + * - `ne`: not equal + * - `gt`: greater than + * - `gte`: greater than or equal + * - `lt`: less than + * - `lte`: less than or equal + */ + type: 'eq' | 'ne' | 'gt' | 'gte' | 'lt' | 'lte'; + + /** + * The value to compare against the attribute key; supports string, number, or + * boolean types. + */ + value: string | number | boolean; +} + +/** + * Combine multiple filters using `and` or `or`. + */ +export interface CompoundFilter { + /** + * Array of filters to combine. Items can be `ComparisonFilter` or + * `CompoundFilter`. + */ + filters: Array; + + /** + * Type of operation: `and` or `or`. + */ + type: 'and' | 'or'; +} + +export interface ErrorObject { + code: string | null; + + message: string; + + param: string | null; + + type: string; +} + +export interface FunctionDefinition { + /** + * The name of the function to be called. Must be a-z, A-Z, 0-9, or contain + * underscores and dashes, with a maximum length of 64. + */ + name: string; + + /** + * A description of what the function does, used by the model to choose when and + * how to call the function. + */ + description?: string; + + /** + * The parameters the functions accepts, described as a JSON Schema object. See the + * [guide](https://platform.openai.com/docs/guides/function-calling) for examples, + * and the + * [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for + * documentation about the format. + * + * Omitting `parameters` defines a function with an empty parameter list. + */ + parameters?: FunctionParameters; + + /** + * Whether to enable strict schema adherence when generating the function call. If + * set to true, the model will follow the exact schema defined in the `parameters` + * field. Only a subset of JSON Schema is supported when `strict` is `true`. Learn + * more about Structured Outputs in the + * [function calling guide](docs/guides/function-calling). + */ + strict?: boolean | null; +} + +/** + * The parameters the functions accepts, described as a JSON Schema object. See the + * [guide](https://platform.openai.com/docs/guides/function-calling) for examples, + * and the + * [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for + * documentation about the format. + * + * Omitting `parameters` defines a function with an empty parameter list. + */ +export type FunctionParameters = Record; + +/** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ +export type Metadata = Record; + +/** + * **o-series models only** + * + * Configuration options for + * [reasoning models](https://platform.openai.com/docs/guides/reasoning). + */ +export interface Reasoning { + /** + * **o-series models only** + * + * Constrains effort on reasoning for + * [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently + * supported values are `low`, `medium`, and `high`. Reducing reasoning effort can + * result in faster responses and fewer tokens used on reasoning in a response. + */ + effort?: ReasoningEffort | null; + + /** + * @deprecated **Deprecated:** use `summary` instead. + * + * A summary of the reasoning performed by the model. This can be useful for + * debugging and understanding the model's reasoning process. One of `auto`, + * `concise`, or `detailed`. + */ + generate_summary?: 'auto' | 'concise' | 'detailed' | null; + + /** + * A summary of the reasoning performed by the model. This can be useful for + * debugging and understanding the model's reasoning process. One of `auto`, + * `concise`, or `detailed`. + */ + summary?: 'auto' | 'concise' | 'detailed' | null; +} + +/** + * **o-series models only** + * + * Constrains effort on reasoning for + * [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently + * supported values are `low`, `medium`, and `high`. Reducing reasoning effort can + * result in faster responses and fewer tokens used on reasoning in a response. + */ +export type ReasoningEffort = 'low' | 'medium' | 'high' | null; + +/** + * JSON object response format. An older method of generating JSON responses. Using + * `json_schema` is recommended for models that support it. Note that the model + * will not generate JSON without a system or user message instructing it to do so. + */ +export interface ResponseFormatJSONObject { + /** + * The type of response format being defined. Always `json_object`. + */ + type: 'json_object'; +} + +/** + * JSON Schema response format. Used to generate structured JSON responses. Learn + * more about + * [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs). + */ +export interface ResponseFormatJSONSchema { + /** + * Structured Outputs configuration options, including a JSON Schema. + */ + json_schema: ResponseFormatJSONSchema.JSONSchema; + + /** + * The type of response format being defined. Always `json_schema`. + */ + type: 'json_schema'; +} + +export namespace ResponseFormatJSONSchema { + /** + * Structured Outputs configuration options, including a JSON Schema. + */ + export interface JSONSchema { + /** + * The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores + * and dashes, with a maximum length of 64. + */ + name: string; + + /** + * A description of what the response format is for, used by the model to determine + * how to respond in the format. + */ + description?: string; + + /** + * The schema for the response format, described as a JSON Schema object. Learn how + * to build JSON schemas [here](https://json-schema.org/). + */ + schema?: Record; + + /** + * Whether to enable strict schema adherence when generating the output. If set to + * true, the model will always follow the exact schema defined in the `schema` + * field. Only a subset of JSON Schema is supported when `strict` is `true`. To + * learn more, read the + * [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). + */ + strict?: boolean | null; + } +} + +/** + * Default response format. Used to generate text responses. + */ +export interface ResponseFormatText { + /** + * The type of response format being defined. Always `text`. + */ + type: 'text'; +} + +export type ResponsesModel = + | (string & {}) + | ChatModel + | 'o1-pro' + | 'o1-pro-2025-03-19' + | 'computer-use-preview' + | 'computer-use-preview-2025-03-11'; diff --git a/src/resources/uploads/index.ts b/src/resources/uploads/index.ts new file mode 100644 index 000000000..200d3567e --- /dev/null +++ b/src/resources/uploads/index.ts @@ -0,0 +1,4 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +export { Parts, type UploadPart, type PartCreateParams } from './parts'; +export { Uploads, type Upload, type UploadCreateParams, type UploadCompleteParams } from './uploads'; diff --git a/src/resources/uploads/parts.ts b/src/resources/uploads/parts.ts new file mode 100644 index 000000000..9b54c99e6 --- /dev/null +++ b/src/resources/uploads/parts.ts @@ -0,0 +1,66 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../resource'; +import * as Core from '../../core'; + +export class Parts extends APIResource { + /** + * Adds a + * [Part](https://platform.openai.com/docs/api-reference/uploads/part-object) to an + * [Upload](https://platform.openai.com/docs/api-reference/uploads/object) object. + * A Part represents a chunk of bytes from the file you are trying to upload. + * + * Each Part can be at most 64 MB, and you can add Parts until you hit the Upload + * maximum of 8 GB. + * + * It is possible to add multiple Parts in parallel. You can decide the intended + * order of the Parts when you + * [complete the Upload](https://platform.openai.com/docs/api-reference/uploads/complete). + */ + create( + uploadId: string, + body: PartCreateParams, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this._client.post( + `/uploads/${uploadId}/parts`, + Core.multipartFormRequestOptions({ body, ...options }), + ); + } +} + +/** + * The upload Part represents a chunk of bytes we can add to an Upload object. + */ +export interface UploadPart { + /** + * The upload Part unique identifier, which can be referenced in API endpoints. + */ + id: string; + + /** + * The Unix timestamp (in seconds) for when the Part was created. + */ + created_at: number; + + /** + * The object type, which is always `upload.part`. + */ + object: 'upload.part'; + + /** + * The ID of the Upload object that this Part was added to. + */ + upload_id: string; +} + +export interface PartCreateParams { + /** + * The chunk of bytes for this Part. + */ + data: Core.Uploadable; +} + +export declare namespace Parts { + export { type UploadPart as UploadPart, type PartCreateParams as PartCreateParams }; +} diff --git a/src/resources/uploads/uploads.ts b/src/resources/uploads/uploads.ts new file mode 100644 index 000000000..9e046b48d --- /dev/null +++ b/src/resources/uploads/uploads.ts @@ -0,0 +1,171 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../resource'; +import * as Core from '../../core'; +import * as FilesAPI from '../files'; +import * as PartsAPI from './parts'; +import { PartCreateParams, Parts, UploadPart } from './parts'; + +export class Uploads extends APIResource { + parts: PartsAPI.Parts = new PartsAPI.Parts(this._client); + + /** + * Creates an intermediate + * [Upload](https://platform.openai.com/docs/api-reference/uploads/object) object + * that you can add + * [Parts](https://platform.openai.com/docs/api-reference/uploads/part-object) to. + * Currently, an Upload can accept at most 8 GB in total and expires after an hour + * after you create it. + * + * Once you complete the Upload, we will create a + * [File](https://platform.openai.com/docs/api-reference/files/object) object that + * contains all the parts you uploaded. This File is usable in the rest of our + * platform as a regular File object. + * + * For certain `purpose` values, the correct `mime_type` must be specified. Please + * refer to documentation for the + * [supported MIME types for your use case](https://platform.openai.com/docs/assistants/tools/file-search#supported-files). + * + * For guidance on the proper filename extensions for each purpose, please follow + * the documentation on + * [creating a File](https://platform.openai.com/docs/api-reference/files/create). + */ + create(body: UploadCreateParams, options?: Core.RequestOptions): Core.APIPromise { + return this._client.post('/uploads', { body, ...options }); + } + + /** + * Cancels the Upload. No Parts may be added after an Upload is cancelled. + */ + cancel(uploadId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.post(`/uploads/${uploadId}/cancel`, options); + } + + /** + * Completes the + * [Upload](https://platform.openai.com/docs/api-reference/uploads/object). + * + * Within the returned Upload object, there is a nested + * [File](https://platform.openai.com/docs/api-reference/files/object) object that + * is ready to use in the rest of the platform. + * + * You can specify the order of the Parts by passing in an ordered list of the Part + * IDs. + * + * The number of bytes uploaded upon completion must match the number of bytes + * initially specified when creating the Upload object. No Parts may be added after + * an Upload is completed. + */ + complete( + uploadId: string, + body: UploadCompleteParams, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this._client.post(`/uploads/${uploadId}/complete`, { body, ...options }); + } +} + +/** + * The Upload object can accept byte chunks in the form of Parts. + */ +export interface Upload { + /** + * The Upload unique identifier, which can be referenced in API endpoints. + */ + id: string; + + /** + * The intended number of bytes to be uploaded. + */ + bytes: number; + + /** + * The Unix timestamp (in seconds) for when the Upload was created. + */ + created_at: number; + + /** + * The Unix timestamp (in seconds) for when the Upload will expire. + */ + expires_at: number; + + /** + * The name of the file to be uploaded. + */ + filename: string; + + /** + * The object type, which is always "upload". + */ + object: 'upload'; + + /** + * The intended purpose of the file. + * [Please refer here](https://platform.openai.com/docs/api-reference/files/object#files/object-purpose) + * for acceptable values. + */ + purpose: string; + + /** + * The status of the Upload. + */ + status: 'pending' | 'completed' | 'cancelled' | 'expired'; + + /** + * The `File` object represents a document that has been uploaded to OpenAI. + */ + file?: FilesAPI.FileObject | null; +} + +export interface UploadCreateParams { + /** + * The number of bytes in the file you are uploading. + */ + bytes: number; + + /** + * The name of the file to upload. + */ + filename: string; + + /** + * The MIME type of the file. + * + * This must fall within the supported MIME types for your file purpose. See the + * supported MIME types for assistants and vision. + */ + mime_type: string; + + /** + * The intended purpose of the uploaded file. + * + * See the + * [documentation on File purposes](https://platform.openai.com/docs/api-reference/files/create#files-create-purpose). + */ + purpose: FilesAPI.FilePurpose; +} + +export interface UploadCompleteParams { + /** + * The ordered list of Part IDs. + */ + part_ids: Array; + + /** + * The optional md5 checksum for the file contents to verify if the bytes uploaded + * matches what you expect. + */ + md5?: string; +} + +Uploads.Parts = Parts; + +export declare namespace Uploads { + export { + type Upload as Upload, + type UploadCreateParams as UploadCreateParams, + type UploadCompleteParams as UploadCompleteParams, + }; + + export { Parts as Parts, type UploadPart as UploadPart, type PartCreateParams as PartCreateParams }; +} diff --git a/src/resources/vector-stores/file-batches.ts b/src/resources/vector-stores/file-batches.ts new file mode 100644 index 000000000..9be1d81a3 --- /dev/null +++ b/src/resources/vector-stores/file-batches.ts @@ -0,0 +1,313 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../resource'; +import { isRequestOptions } from '../../core'; +import { sleep } from '../../core'; +import { Uploadable } from '../../core'; +import { allSettledWithThrow } from '../../lib/Util'; +import * as Core from '../../core'; +import * as FilesAPI from './files'; +import { VectorStoreFilesPage } from './files'; +import * as VectorStoresAPI from './vector-stores'; +import { type CursorPageParams } from '../../pagination'; + +export class FileBatches extends APIResource { + /** + * Create a vector store file batch. + */ + create( + vectorStoreId: string, + body: FileBatchCreateParams, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this._client.post(`/vector_stores/${vectorStoreId}/file_batches`, { + body, + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Retrieves a vector store file batch. + */ + retrieve( + vectorStoreId: string, + batchId: string, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this._client.get(`/vector_stores/${vectorStoreId}/file_batches/${batchId}`, { + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Cancel a vector store file batch. This attempts to cancel the processing of + * files in this batch as soon as possible. + */ + cancel( + vectorStoreId: string, + batchId: string, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this._client.post(`/vector_stores/${vectorStoreId}/file_batches/${batchId}/cancel`, { + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Create a vector store batch and poll until all files have been processed. + */ + async createAndPoll( + vectorStoreId: string, + body: FileBatchCreateParams, + options?: Core.RequestOptions & { pollIntervalMs?: number }, + ): Promise { + const batch = await this.create(vectorStoreId, body); + return await this.poll(vectorStoreId, batch.id, options); + } + + /** + * Returns a list of vector store files in a batch. + */ + listFiles( + vectorStoreId: string, + batchId: string, + query?: FileBatchListFilesParams, + options?: Core.RequestOptions, + ): Core.PagePromise; + listFiles( + vectorStoreId: string, + batchId: string, + options?: Core.RequestOptions, + ): Core.PagePromise; + listFiles( + vectorStoreId: string, + batchId: string, + query: FileBatchListFilesParams | Core.RequestOptions = {}, + options?: Core.RequestOptions, + ): Core.PagePromise { + if (isRequestOptions(query)) { + return this.listFiles(vectorStoreId, batchId, {}, query); + } + return this._client.getAPIList( + `/vector_stores/${vectorStoreId}/file_batches/${batchId}/files`, + VectorStoreFilesPage, + { query, ...options, headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers } }, + ); + } + + /** + * Wait for the given file batch to be processed. + * + * Note: this will return even if one of the files failed to process, you need to + * check batch.file_counts.failed_count to handle this case. + */ + async poll( + vectorStoreId: string, + batchId: string, + options?: Core.RequestOptions & { pollIntervalMs?: number }, + ): Promise { + const headers: { [key: string]: string } = { ...options?.headers, 'X-Stainless-Poll-Helper': 'true' }; + if (options?.pollIntervalMs) { + headers['X-Stainless-Custom-Poll-Interval'] = options.pollIntervalMs.toString(); + } + + while (true) { + const { data: batch, response } = await this.retrieve(vectorStoreId, batchId, { + ...options, + headers, + }).withResponse(); + + switch (batch.status) { + case 'in_progress': + let sleepInterval = 5000; + + if (options?.pollIntervalMs) { + sleepInterval = options.pollIntervalMs; + } else { + const headerInterval = response.headers.get('openai-poll-after-ms'); + if (headerInterval) { + const headerIntervalMs = parseInt(headerInterval); + if (!isNaN(headerIntervalMs)) { + sleepInterval = headerIntervalMs; + } + } + } + await sleep(sleepInterval); + break; + case 'failed': + case 'cancelled': + case 'completed': + return batch; + } + } + } + + /** + * Uploads the given files concurrently and then creates a vector store file batch. + * + * The concurrency limit is configurable using the `maxConcurrency` parameter. + */ + async uploadAndPoll( + vectorStoreId: string, + { files, fileIds = [] }: { files: Uploadable[]; fileIds?: string[] }, + options?: Core.RequestOptions & { pollIntervalMs?: number; maxConcurrency?: number }, + ): Promise { + if (files == null || files.length == 0) { + throw new Error( + `No \`files\` provided to process. If you've already uploaded files you should use \`.createAndPoll()\` instead`, + ); + } + + const configuredConcurrency = options?.maxConcurrency ?? 5; + + // We cap the number of workers at the number of files (so we don't start any unnecessary workers) + const concurrencyLimit = Math.min(configuredConcurrency, files.length); + + const client = this._client; + const fileIterator = files.values(); + const allFileIds: string[] = [...fileIds]; + + // This code is based on this design. The libraries don't accommodate our environment limits. + // https://stackoverflow.com/questions/40639432/what-is-the-best-way-to-limit-concurrency-when-using-es6s-promise-all + async function processFiles(iterator: IterableIterator) { + for (let item of iterator) { + const fileObj = await client.files.create({ file: item, purpose: 'assistants' }, options); + allFileIds.push(fileObj.id); + } + } + + // Start workers to process results + const workers = Array(concurrencyLimit).fill(fileIterator).map(processFiles); + + // Wait for all processing to complete. + await allSettledWithThrow(workers); + + return await this.createAndPoll(vectorStoreId, { + file_ids: allFileIds, + }); + } +} + +/** + * A batch of files attached to a vector store. + */ +export interface VectorStoreFileBatch { + /** + * The identifier, which can be referenced in API endpoints. + */ + id: string; + + /** + * The Unix timestamp (in seconds) for when the vector store files batch was + * created. + */ + created_at: number; + + file_counts: VectorStoreFileBatch.FileCounts; + + /** + * The object type, which is always `vector_store.file_batch`. + */ + object: 'vector_store.files_batch'; + + /** + * The status of the vector store files batch, which can be either `in_progress`, + * `completed`, `cancelled` or `failed`. + */ + status: 'in_progress' | 'completed' | 'cancelled' | 'failed'; + + /** + * The ID of the + * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) + * that the [File](https://platform.openai.com/docs/api-reference/files) is + * attached to. + */ + vector_store_id: string; +} + +export namespace VectorStoreFileBatch { + export interface FileCounts { + /** + * The number of files that where cancelled. + */ + cancelled: number; + + /** + * The number of files that have been processed. + */ + completed: number; + + /** + * The number of files that have failed to process. + */ + failed: number; + + /** + * The number of files that are currently being processed. + */ + in_progress: number; + + /** + * The total number of files. + */ + total: number; + } +} + +export interface FileBatchCreateParams { + /** + * A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that + * the vector store should use. Useful for tools like `file_search` that can access + * files. + */ + file_ids: Array; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. Keys are strings with a maximum + * length of 64 characters. Values are strings with a maximum length of 512 + * characters, booleans, or numbers. + */ + attributes?: Record | null; + + /** + * The chunking strategy used to chunk the file(s). If not set, will use the `auto` + * strategy. Only applicable if `file_ids` is non-empty. + */ + chunking_strategy?: VectorStoresAPI.FileChunkingStrategyParam; +} + +export interface FileBatchListFilesParams extends CursorPageParams { + /** + * A cursor for use in pagination. `before` is an object ID that defines your place + * in the list. For instance, if you make a list request and receive 100 objects, + * starting with obj_foo, your subsequent call can include before=obj_foo in order + * to fetch the previous page of the list. + */ + before?: string; + + /** + * Filter by file status. One of `in_progress`, `completed`, `failed`, `cancelled`. + */ + filter?: 'in_progress' | 'completed' | 'failed' | 'cancelled'; + + /** + * Sort order by the `created_at` timestamp of the objects. `asc` for ascending + * order and `desc` for descending order. + */ + order?: 'asc' | 'desc'; +} + +export declare namespace FileBatches { + export { + type VectorStoreFileBatch as VectorStoreFileBatch, + type FileBatchCreateParams as FileBatchCreateParams, + type FileBatchListFilesParams as FileBatchListFilesParams, + }; +} + +export { VectorStoreFilesPage }; diff --git a/src/resources/vector-stores/files.ts b/src/resources/vector-stores/files.ts new file mode 100644 index 000000000..28caf9781 --- /dev/null +++ b/src/resources/vector-stores/files.ts @@ -0,0 +1,379 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../resource'; +import { sleep, Uploadable, isRequestOptions } from '../../core'; +import * as Core from '../../core'; +import * as VectorStoresAPI from './vector-stores'; +import { CursorPage, type CursorPageParams, Page } from '../../pagination'; + +export class Files extends APIResource { + /** + * Create a vector store file by attaching a + * [File](https://platform.openai.com/docs/api-reference/files) to a + * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object). + */ + create( + vectorStoreId: string, + body: FileCreateParams, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this._client.post(`/vector_stores/${vectorStoreId}/files`, { + body, + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Retrieves a vector store file. + */ + retrieve( + vectorStoreId: string, + fileId: string, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this._client.get(`/vector_stores/${vectorStoreId}/files/${fileId}`, { + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Update attributes on a vector store file. + */ + update( + vectorStoreId: string, + fileId: string, + body: FileUpdateParams, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this._client.post(`/vector_stores/${vectorStoreId}/files/${fileId}`, { + body, + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Returns a list of vector store files. + */ + list( + vectorStoreId: string, + query?: FileListParams, + options?: Core.RequestOptions, + ): Core.PagePromise; + list( + vectorStoreId: string, + options?: Core.RequestOptions, + ): Core.PagePromise; + list( + vectorStoreId: string, + query: FileListParams | Core.RequestOptions = {}, + options?: Core.RequestOptions, + ): Core.PagePromise { + if (isRequestOptions(query)) { + return this.list(vectorStoreId, {}, query); + } + return this._client.getAPIList(`/vector_stores/${vectorStoreId}/files`, VectorStoreFilesPage, { + query, + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Delete a vector store file. This will remove the file from the vector store but + * the file itself will not be deleted. To delete the file, use the + * [delete file](https://platform.openai.com/docs/api-reference/files/delete) + * endpoint. + */ + del( + vectorStoreId: string, + fileId: string, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this._client.delete(`/vector_stores/${vectorStoreId}/files/${fileId}`, { + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Attach a file to the given vector store and wait for it to be processed. + */ + async createAndPoll( + vectorStoreId: string, + body: FileCreateParams, + options?: Core.RequestOptions & { pollIntervalMs?: number }, + ): Promise { + const file = await this.create(vectorStoreId, body, options); + return await this.poll(vectorStoreId, file.id, options); + } + + /** + * Wait for the vector store file to finish processing. + * + * Note: this will return even if the file failed to process, you need to check + * file.last_error and file.status to handle these cases + */ + async poll( + vectorStoreId: string, + fileId: string, + options?: Core.RequestOptions & { pollIntervalMs?: number }, + ): Promise { + const headers: { [key: string]: string } = { ...options?.headers, 'X-Stainless-Poll-Helper': 'true' }; + if (options?.pollIntervalMs) { + headers['X-Stainless-Custom-Poll-Interval'] = options.pollIntervalMs.toString(); + } + while (true) { + const fileResponse = await this.retrieve(vectorStoreId, fileId, { + ...options, + headers, + }).withResponse(); + + const file = fileResponse.data; + + switch (file.status) { + case 'in_progress': + let sleepInterval = 5000; + + if (options?.pollIntervalMs) { + sleepInterval = options.pollIntervalMs; + } else { + const headerInterval = fileResponse.response.headers.get('openai-poll-after-ms'); + if (headerInterval) { + const headerIntervalMs = parseInt(headerInterval); + if (!isNaN(headerIntervalMs)) { + sleepInterval = headerIntervalMs; + } + } + } + await sleep(sleepInterval); + break; + case 'failed': + case 'completed': + return file; + } + } + } + + /** + * Upload a file to the `files` API and then attach it to the given vector store. + * + * Note the file will be asynchronously processed (you can use the alternative + * polling helper method to wait for processing to complete). + */ + async upload( + vectorStoreId: string, + file: Uploadable, + options?: Core.RequestOptions, + ): Promise { + const fileInfo = await this._client.files.create({ file: file, purpose: 'assistants' }, options); + return this.create(vectorStoreId, { file_id: fileInfo.id }, options); + } + + /** + * Add a file to a vector store and poll until processing is complete. + */ + async uploadAndPoll( + vectorStoreId: string, + file: Uploadable, + options?: Core.RequestOptions & { pollIntervalMs?: number }, + ): Promise { + const fileInfo = await this.upload(vectorStoreId, file, options); + return await this.poll(vectorStoreId, fileInfo.id, options); + } + + /** + * Retrieve the parsed contents of a vector store file. + */ + content( + vectorStoreId: string, + fileId: string, + options?: Core.RequestOptions, + ): Core.PagePromise { + return this._client.getAPIList( + `/vector_stores/${vectorStoreId}/files/${fileId}/content`, + FileContentResponsesPage, + { ...options, headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers } }, + ); + } +} + +export class VectorStoreFilesPage extends CursorPage {} + +/** + * Note: no pagination actually occurs yet, this is for forwards-compatibility. + */ +export class FileContentResponsesPage extends Page {} + +/** + * A list of files attached to a vector store. + */ +export interface VectorStoreFile { + /** + * The identifier, which can be referenced in API endpoints. + */ + id: string; + + /** + * The Unix timestamp (in seconds) for when the vector store file was created. + */ + created_at: number; + + /** + * The last error associated with this vector store file. Will be `null` if there + * are no errors. + */ + last_error: VectorStoreFile.LastError | null; + + /** + * The object type, which is always `vector_store.file`. + */ + object: 'vector_store.file'; + + /** + * The status of the vector store file, which can be either `in_progress`, + * `completed`, `cancelled`, or `failed`. The status `completed` indicates that the + * vector store file is ready for use. + */ + status: 'in_progress' | 'completed' | 'cancelled' | 'failed'; + + /** + * The total vector store usage in bytes. Note that this may be different from the + * original file size. + */ + usage_bytes: number; + + /** + * The ID of the + * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) + * that the [File](https://platform.openai.com/docs/api-reference/files) is + * attached to. + */ + vector_store_id: string; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. Keys are strings with a maximum + * length of 64 characters. Values are strings with a maximum length of 512 + * characters, booleans, or numbers. + */ + attributes?: Record | null; + + /** + * The strategy used to chunk the file. + */ + chunking_strategy?: VectorStoresAPI.FileChunkingStrategy; +} + +export namespace VectorStoreFile { + /** + * The last error associated with this vector store file. Will be `null` if there + * are no errors. + */ + export interface LastError { + /** + * One of `server_error` or `rate_limit_exceeded`. + */ + code: 'server_error' | 'unsupported_file' | 'invalid_file'; + + /** + * A human-readable description of the error. + */ + message: string; + } +} + +export interface VectorStoreFileDeleted { + id: string; + + deleted: boolean; + + object: 'vector_store.file.deleted'; +} + +export interface FileContentResponse { + /** + * The text content + */ + text?: string; + + /** + * The content type (currently only `"text"`) + */ + type?: string; +} + +export interface FileCreateParams { + /** + * A [File](https://platform.openai.com/docs/api-reference/files) ID that the + * vector store should use. Useful for tools like `file_search` that can access + * files. + */ + file_id: string; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. Keys are strings with a maximum + * length of 64 characters. Values are strings with a maximum length of 512 + * characters, booleans, or numbers. + */ + attributes?: Record | null; + + /** + * The chunking strategy used to chunk the file(s). If not set, will use the `auto` + * strategy. Only applicable if `file_ids` is non-empty. + */ + chunking_strategy?: VectorStoresAPI.FileChunkingStrategyParam; +} + +export interface FileUpdateParams { + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. Keys are strings with a maximum + * length of 64 characters. Values are strings with a maximum length of 512 + * characters, booleans, or numbers. + */ + attributes: Record | null; +} + +export interface FileListParams extends CursorPageParams { + /** + * A cursor for use in pagination. `before` is an object ID that defines your place + * in the list. For instance, if you make a list request and receive 100 objects, + * starting with obj_foo, your subsequent call can include before=obj_foo in order + * to fetch the previous page of the list. + */ + before?: string; + + /** + * Filter by file status. One of `in_progress`, `completed`, `failed`, `cancelled`. + */ + filter?: 'in_progress' | 'completed' | 'failed' | 'cancelled'; + + /** + * Sort order by the `created_at` timestamp of the objects. `asc` for ascending + * order and `desc` for descending order. + */ + order?: 'asc' | 'desc'; +} + +Files.VectorStoreFilesPage = VectorStoreFilesPage; +Files.FileContentResponsesPage = FileContentResponsesPage; + +export declare namespace Files { + export { + type VectorStoreFile as VectorStoreFile, + type VectorStoreFileDeleted as VectorStoreFileDeleted, + type FileContentResponse as FileContentResponse, + VectorStoreFilesPage as VectorStoreFilesPage, + FileContentResponsesPage as FileContentResponsesPage, + type FileCreateParams as FileCreateParams, + type FileUpdateParams as FileUpdateParams, + type FileListParams as FileListParams, + }; +} diff --git a/src/resources/vector-stores/index.ts b/src/resources/vector-stores/index.ts new file mode 100644 index 000000000..9cbcbc0b2 --- /dev/null +++ b/src/resources/vector-stores/index.ts @@ -0,0 +1,38 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +export { + FileBatches, + type VectorStoreFileBatch, + type FileBatchCreateParams, + type FileBatchListFilesParams, +} from './file-batches'; +export { + VectorStoreFilesPage, + FileContentResponsesPage, + Files, + type VectorStoreFile, + type VectorStoreFileDeleted, + type FileContentResponse, + type FileCreateParams, + type FileUpdateParams, + type FileListParams, +} from './files'; +export { + VectorStoresPage, + VectorStoreSearchResponsesPage, + VectorStores, + type AutoFileChunkingStrategyParam, + type FileChunkingStrategy, + type FileChunkingStrategyParam, + type OtherFileChunkingStrategyObject, + type StaticFileChunkingStrategy, + type StaticFileChunkingStrategyObject, + type StaticFileChunkingStrategyObjectParam, + type VectorStore, + type VectorStoreDeleted, + type VectorStoreSearchResponse, + type VectorStoreCreateParams, + type VectorStoreUpdateParams, + type VectorStoreListParams, + type VectorStoreSearchParams, +} from './vector-stores'; diff --git a/src/resources/vector-stores/vector-stores.ts b/src/resources/vector-stores/vector-stores.ts new file mode 100644 index 000000000..7d61e7fd6 --- /dev/null +++ b/src/resources/vector-stores/vector-stores.ts @@ -0,0 +1,551 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { APIResource } from '../../resource'; +import { isRequestOptions } from '../../core'; +import * as Core from '../../core'; +import * as Shared from '../shared'; +import * as FileBatchesAPI from './file-batches'; +import { + FileBatchCreateParams, + FileBatchListFilesParams, + FileBatches, + VectorStoreFileBatch, +} from './file-batches'; +import * as FilesAPI from './files'; +import { + FileContentResponse, + FileContentResponsesPage, + FileCreateParams, + FileListParams, + FileUpdateParams, + Files, + VectorStoreFile, + VectorStoreFileDeleted, + VectorStoreFilesPage, +} from './files'; +import { CursorPage, type CursorPageParams, Page } from '../../pagination'; + +export class VectorStores extends APIResource { + files: FilesAPI.Files = new FilesAPI.Files(this._client); + fileBatches: FileBatchesAPI.FileBatches = new FileBatchesAPI.FileBatches(this._client); + + /** + * Create a vector store. + */ + create(body: VectorStoreCreateParams, options?: Core.RequestOptions): Core.APIPromise { + return this._client.post('/vector_stores', { + body, + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Retrieves a vector store. + */ + retrieve(vectorStoreId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.get(`/vector_stores/${vectorStoreId}`, { + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Modifies a vector store. + */ + update( + vectorStoreId: string, + body: VectorStoreUpdateParams, + options?: Core.RequestOptions, + ): Core.APIPromise { + return this._client.post(`/vector_stores/${vectorStoreId}`, { + body, + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Returns a list of vector stores. + */ + list( + query?: VectorStoreListParams, + options?: Core.RequestOptions, + ): Core.PagePromise; + list(options?: Core.RequestOptions): Core.PagePromise; + list( + query: VectorStoreListParams | Core.RequestOptions = {}, + options?: Core.RequestOptions, + ): Core.PagePromise { + if (isRequestOptions(query)) { + return this.list({}, query); + } + return this._client.getAPIList('/vector_stores', VectorStoresPage, { + query, + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Delete a vector store. + */ + del(vectorStoreId: string, options?: Core.RequestOptions): Core.APIPromise { + return this._client.delete(`/vector_stores/${vectorStoreId}`, { + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } + + /** + * Search a vector store for relevant chunks based on a query and file attributes + * filter. + */ + search( + vectorStoreId: string, + body: VectorStoreSearchParams, + options?: Core.RequestOptions, + ): Core.PagePromise { + return this._client.getAPIList(`/vector_stores/${vectorStoreId}/search`, VectorStoreSearchResponsesPage, { + body, + method: 'post', + ...options, + headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, + }); + } +} + +export class VectorStoresPage extends CursorPage {} + +/** + * Note: no pagination actually occurs yet, this is for forwards-compatibility. + */ +export class VectorStoreSearchResponsesPage extends Page {} + +/** + * The default strategy. This strategy currently uses a `max_chunk_size_tokens` of + * `800` and `chunk_overlap_tokens` of `400`. + */ +export interface AutoFileChunkingStrategyParam { + /** + * Always `auto`. + */ + type: 'auto'; +} + +/** + * The strategy used to chunk the file. + */ +export type FileChunkingStrategy = StaticFileChunkingStrategyObject | OtherFileChunkingStrategyObject; + +/** + * The chunking strategy used to chunk the file(s). If not set, will use the `auto` + * strategy. Only applicable if `file_ids` is non-empty. + */ +export type FileChunkingStrategyParam = AutoFileChunkingStrategyParam | StaticFileChunkingStrategyObjectParam; + +/** + * This is returned when the chunking strategy is unknown. Typically, this is + * because the file was indexed before the `chunking_strategy` concept was + * introduced in the API. + */ +export interface OtherFileChunkingStrategyObject { + /** + * Always `other`. + */ + type: 'other'; +} + +export interface StaticFileChunkingStrategy { + /** + * The number of tokens that overlap between chunks. The default value is `400`. + * + * Note that the overlap must not exceed half of `max_chunk_size_tokens`. + */ + chunk_overlap_tokens: number; + + /** + * The maximum number of tokens in each chunk. The default value is `800`. The + * minimum value is `100` and the maximum value is `4096`. + */ + max_chunk_size_tokens: number; +} + +export interface StaticFileChunkingStrategyObject { + static: StaticFileChunkingStrategy; + + /** + * Always `static`. + */ + type: 'static'; +} + +/** + * Customize your own chunking strategy by setting chunk size and chunk overlap. + */ +export interface StaticFileChunkingStrategyObjectParam { + static: StaticFileChunkingStrategy; + + /** + * Always `static`. + */ + type: 'static'; +} + +/** + * A vector store is a collection of processed files can be used by the + * `file_search` tool. + */ +export interface VectorStore { + /** + * The identifier, which can be referenced in API endpoints. + */ + id: string; + + /** + * The Unix timestamp (in seconds) for when the vector store was created. + */ + created_at: number; + + file_counts: VectorStore.FileCounts; + + /** + * The Unix timestamp (in seconds) for when the vector store was last active. + */ + last_active_at: number | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata: Shared.Metadata | null; + + /** + * The name of the vector store. + */ + name: string; + + /** + * The object type, which is always `vector_store`. + */ + object: 'vector_store'; + + /** + * The status of the vector store, which can be either `expired`, `in_progress`, or + * `completed`. A status of `completed` indicates that the vector store is ready + * for use. + */ + status: 'expired' | 'in_progress' | 'completed'; + + /** + * The total number of bytes used by the files in the vector store. + */ + usage_bytes: number; + + /** + * The expiration policy for a vector store. + */ + expires_after?: VectorStore.ExpiresAfter; + + /** + * The Unix timestamp (in seconds) for when the vector store will expire. + */ + expires_at?: number | null; +} + +export namespace VectorStore { + export interface FileCounts { + /** + * The number of files that were cancelled. + */ + cancelled: number; + + /** + * The number of files that have been successfully processed. + */ + completed: number; + + /** + * The number of files that have failed to process. + */ + failed: number; + + /** + * The number of files that are currently being processed. + */ + in_progress: number; + + /** + * The total number of files. + */ + total: number; + } + + /** + * The expiration policy for a vector store. + */ + export interface ExpiresAfter { + /** + * Anchor timestamp after which the expiration policy applies. Supported anchors: + * `last_active_at`. + */ + anchor: 'last_active_at'; + + /** + * The number of days after the anchor time that the vector store will expire. + */ + days: number; + } +} + +export interface VectorStoreDeleted { + id: string; + + deleted: boolean; + + object: 'vector_store.deleted'; +} + +export interface VectorStoreSearchResponse { + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. Keys are strings with a maximum + * length of 64 characters. Values are strings with a maximum length of 512 + * characters, booleans, or numbers. + */ + attributes: Record | null; + + /** + * Content chunks from the file. + */ + content: Array; + + /** + * The ID of the vector store file. + */ + file_id: string; + + /** + * The name of the vector store file. + */ + filename: string; + + /** + * The similarity score for the result. + */ + score: number; +} + +export namespace VectorStoreSearchResponse { + export interface Content { + /** + * The text content returned from search. + */ + text: string; + + /** + * The type of content. + */ + type: 'text'; + } +} + +export interface VectorStoreCreateParams { + /** + * The chunking strategy used to chunk the file(s). If not set, will use the `auto` + * strategy. Only applicable if `file_ids` is non-empty. + */ + chunking_strategy?: FileChunkingStrategyParam; + + /** + * The expiration policy for a vector store. + */ + expires_after?: VectorStoreCreateParams.ExpiresAfter; + + /** + * A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that + * the vector store should use. Useful for tools like `file_search` that can access + * files. + */ + file_ids?: Array; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + + /** + * The name of the vector store. + */ + name?: string; +} + +export namespace VectorStoreCreateParams { + /** + * The expiration policy for a vector store. + */ + export interface ExpiresAfter { + /** + * Anchor timestamp after which the expiration policy applies. Supported anchors: + * `last_active_at`. + */ + anchor: 'last_active_at'; + + /** + * The number of days after the anchor time that the vector store will expire. + */ + days: number; + } +} + +export interface VectorStoreUpdateParams { + /** + * The expiration policy for a vector store. + */ + expires_after?: VectorStoreUpdateParams.ExpiresAfter | null; + + /** + * Set of 16 key-value pairs that can be attached to an object. This can be useful + * for storing additional information about the object in a structured format, and + * querying for objects via API or the dashboard. + * + * Keys are strings with a maximum length of 64 characters. Values are strings with + * a maximum length of 512 characters. + */ + metadata?: Shared.Metadata | null; + + /** + * The name of the vector store. + */ + name?: string | null; +} + +export namespace VectorStoreUpdateParams { + /** + * The expiration policy for a vector store. + */ + export interface ExpiresAfter { + /** + * Anchor timestamp after which the expiration policy applies. Supported anchors: + * `last_active_at`. + */ + anchor: 'last_active_at'; + + /** + * The number of days after the anchor time that the vector store will expire. + */ + days: number; + } +} + +export interface VectorStoreListParams extends CursorPageParams { + /** + * A cursor for use in pagination. `before` is an object ID that defines your place + * in the list. For instance, if you make a list request and receive 100 objects, + * starting with obj_foo, your subsequent call can include before=obj_foo in order + * to fetch the previous page of the list. + */ + before?: string; + + /** + * Sort order by the `created_at` timestamp of the objects. `asc` for ascending + * order and `desc` for descending order. + */ + order?: 'asc' | 'desc'; +} + +export interface VectorStoreSearchParams { + /** + * A query string for a search + */ + query: string | Array; + + /** + * A filter to apply based on file attributes. + */ + filters?: Shared.ComparisonFilter | Shared.CompoundFilter; + + /** + * The maximum number of results to return. This number should be between 1 and 50 + * inclusive. + */ + max_num_results?: number; + + /** + * Ranking options for search. + */ + ranking_options?: VectorStoreSearchParams.RankingOptions; + + /** + * Whether to rewrite the natural language query for vector search. + */ + rewrite_query?: boolean; +} + +export namespace VectorStoreSearchParams { + /** + * Ranking options for search. + */ + export interface RankingOptions { + ranker?: 'auto' | 'default-2024-11-15'; + + score_threshold?: number; + } +} + +VectorStores.VectorStoresPage = VectorStoresPage; +VectorStores.VectorStoreSearchResponsesPage = VectorStoreSearchResponsesPage; +VectorStores.Files = Files; +VectorStores.VectorStoreFilesPage = VectorStoreFilesPage; +VectorStores.FileContentResponsesPage = FileContentResponsesPage; +VectorStores.FileBatches = FileBatches; + +export declare namespace VectorStores { + export { + type AutoFileChunkingStrategyParam as AutoFileChunkingStrategyParam, + type FileChunkingStrategy as FileChunkingStrategy, + type FileChunkingStrategyParam as FileChunkingStrategyParam, + type OtherFileChunkingStrategyObject as OtherFileChunkingStrategyObject, + type StaticFileChunkingStrategy as StaticFileChunkingStrategy, + type StaticFileChunkingStrategyObject as StaticFileChunkingStrategyObject, + type StaticFileChunkingStrategyObjectParam as StaticFileChunkingStrategyObjectParam, + type VectorStore as VectorStore, + type VectorStoreDeleted as VectorStoreDeleted, + type VectorStoreSearchResponse as VectorStoreSearchResponse, + VectorStoresPage as VectorStoresPage, + VectorStoreSearchResponsesPage as VectorStoreSearchResponsesPage, + type VectorStoreCreateParams as VectorStoreCreateParams, + type VectorStoreUpdateParams as VectorStoreUpdateParams, + type VectorStoreListParams as VectorStoreListParams, + type VectorStoreSearchParams as VectorStoreSearchParams, + }; + + export { + Files as Files, + type VectorStoreFile as VectorStoreFile, + type VectorStoreFileDeleted as VectorStoreFileDeleted, + type FileContentResponse as FileContentResponse, + VectorStoreFilesPage as VectorStoreFilesPage, + FileContentResponsesPage as FileContentResponsesPage, + type FileCreateParams as FileCreateParams, + type FileUpdateParams as FileUpdateParams, + type FileListParams as FileListParams, + }; + + export { + FileBatches as FileBatches, + type VectorStoreFileBatch as VectorStoreFileBatch, + type FileBatchCreateParams as FileBatchCreateParams, + type FileBatchListFilesParams as FileBatchListFilesParams, + }; +} diff --git a/src/shims/node.ts b/src/shims/node.ts new file mode 100644 index 000000000..73df5600c --- /dev/null +++ b/src/shims/node.ts @@ -0,0 +1,50 @@ +// @ts-ignore +import * as types from '../_shims/node-types'; +import { setShims } from '../_shims/registry'; +import { getRuntime } from '../_shims/node-runtime'; +setShims(getRuntime()); + +declare module '../_shims/manual-types' { + export namespace manual { + // @ts-ignore + export type Agent = types.Agent; + // @ts-ignore + export import fetch = types.fetch; + // @ts-ignore + export type Request = types.Request; + // @ts-ignore + export type RequestInfo = types.RequestInfo; + // @ts-ignore + export type RequestInit = types.RequestInit; + // @ts-ignore + export type Response = types.Response; + // @ts-ignore + export type ResponseInit = types.ResponseInit; + // @ts-ignore + export type ResponseType = types.ResponseType; + // @ts-ignore + export type BodyInit = types.BodyInit; + // @ts-ignore + export type Headers = types.Headers; + // @ts-ignore + export type HeadersInit = types.HeadersInit; + // @ts-ignore + export type BlobPropertyBag = types.BlobPropertyBag; + // @ts-ignore + export type FilePropertyBag = types.FilePropertyBag; + // @ts-ignore + export type FileFromPathOptions = types.FileFromPathOptions; + // @ts-ignore + export import FormData = types.FormData; + // @ts-ignore + export import File = types.File; + // @ts-ignore + export import Blob = types.Blob; + // @ts-ignore + export type Readable = types.Readable; + // @ts-ignore + export type FsReadStream = types.FsReadStream; + // @ts-ignore + export import ReadableStream = types.ReadableStream; + } +} diff --git a/src/shims/web.ts b/src/shims/web.ts new file mode 100644 index 000000000..f72d78444 --- /dev/null +++ b/src/shims/web.ts @@ -0,0 +1,50 @@ +// @ts-ignore +import * as types from '../_shims/web-types'; +import { setShims } from '../_shims/registry'; +import { getRuntime } from '../_shims/web-runtime'; +setShims(getRuntime({ manuallyImported: true })); + +declare module '../_shims/manual-types' { + export namespace manual { + // @ts-ignore + export type Agent = types.Agent; + // @ts-ignore + export import fetch = types.fetch; + // @ts-ignore + export type Request = types.Request; + // @ts-ignore + export type RequestInfo = types.RequestInfo; + // @ts-ignore + export type RequestInit = types.RequestInit; + // @ts-ignore + export type Response = types.Response; + // @ts-ignore + export type ResponseInit = types.ResponseInit; + // @ts-ignore + export type ResponseType = types.ResponseType; + // @ts-ignore + export type BodyInit = types.BodyInit; + // @ts-ignore + export type Headers = types.Headers; + // @ts-ignore + export type HeadersInit = types.HeadersInit; + // @ts-ignore + export type BlobPropertyBag = types.BlobPropertyBag; + // @ts-ignore + export type FilePropertyBag = types.FilePropertyBag; + // @ts-ignore + export type FileFromPathOptions = types.FileFromPathOptions; + // @ts-ignore + export import FormData = types.FormData; + // @ts-ignore + export import File = types.File; + // @ts-ignore + export import Blob = types.Blob; + // @ts-ignore + export type Readable = types.Readable; + // @ts-ignore + export type FsReadStream = types.FsReadStream; + // @ts-ignore + export import ReadableStream = types.ReadableStream; + } +} diff --git a/src/streaming.ts b/src/streaming.ts new file mode 100644 index 000000000..ee25daca6 --- /dev/null +++ b/src/streaming.ts @@ -0,0 +1,329 @@ +import { ReadableStream, type Response } from './_shims/index'; +import { OpenAIError } from './error'; +import { findDoubleNewlineIndex, LineDecoder } from './internal/decoders/line'; +import { ReadableStreamToAsyncIterable } from './internal/stream-utils'; + +import { createResponseHeaders } from './core'; +import { APIError } from './error'; + +type Bytes = string | ArrayBuffer | Uint8Array | Buffer | null | undefined; + +export type ServerSentEvent = { + event: string | null; + data: string; + raw: string[]; +}; + +export class Stream implements AsyncIterable { + controller: AbortController; + + constructor( + private iterator: () => AsyncIterator, + controller: AbortController, + ) { + this.controller = controller; + } + + static fromSSEResponse(response: Response, controller: AbortController): Stream { + let consumed = false; + + async function* iterator(): AsyncIterator { + if (consumed) { + throw new Error('Cannot iterate over a consumed stream, use `.tee()` to split the stream.'); + } + consumed = true; + let done = false; + try { + for await (const sse of _iterSSEMessages(response, controller)) { + if (done) continue; + + if (sse.data.startsWith('[DONE]')) { + done = true; + continue; + } + + if ( + sse.event === null || + sse.event.startsWith('response.') || + sse.event.startsWith('transcript.') + ) { + let data; + + try { + data = JSON.parse(sse.data); + } catch (e) { + console.error(`Could not parse message into JSON:`, sse.data); + console.error(`From chunk:`, sse.raw); + throw e; + } + + if (data && data.error) { + throw new APIError(undefined, data.error, undefined, createResponseHeaders(response.headers)); + } + + yield data; + } else { + let data; + try { + data = JSON.parse(sse.data); + } catch (e) { + console.error(`Could not parse message into JSON:`, sse.data); + console.error(`From chunk:`, sse.raw); + throw e; + } + // TODO: Is this where the error should be thrown? + if (sse.event == 'error') { + throw new APIError(undefined, data.error, data.message, undefined); + } + yield { event: sse.event, data: data } as any; + } + } + done = true; + } catch (e) { + // If the user calls `stream.controller.abort()`, we should exit without throwing. + if (e instanceof Error && e.name === 'AbortError') return; + throw e; + } finally { + // If the user `break`s, abort the ongoing request. + if (!done) controller.abort(); + } + } + + return new Stream(iterator, controller); + } + + /** + * Generates a Stream from a newline-separated ReadableStream + * where each item is a JSON value. + */ + static fromReadableStream(readableStream: ReadableStream, controller: AbortController): Stream { + let consumed = false; + + async function* iterLines(): AsyncGenerator { + const lineDecoder = new LineDecoder(); + + const iter = ReadableStreamToAsyncIterable(readableStream); + for await (const chunk of iter) { + for (const line of lineDecoder.decode(chunk)) { + yield line; + } + } + + for (const line of lineDecoder.flush()) { + yield line; + } + } + + async function* iterator(): AsyncIterator { + if (consumed) { + throw new Error('Cannot iterate over a consumed stream, use `.tee()` to split the stream.'); + } + consumed = true; + let done = false; + try { + for await (const line of iterLines()) { + if (done) continue; + if (line) yield JSON.parse(line); + } + done = true; + } catch (e) { + // If the user calls `stream.controller.abort()`, we should exit without throwing. + if (e instanceof Error && e.name === 'AbortError') return; + throw e; + } finally { + // If the user `break`s, abort the ongoing request. + if (!done) controller.abort(); + } + } + + return new Stream(iterator, controller); + } + + [Symbol.asyncIterator](): AsyncIterator { + return this.iterator(); + } + + /** + * Splits the stream into two streams which can be + * independently read from at different speeds. + */ + tee(): [Stream, Stream] { + const left: Array>> = []; + const right: Array>> = []; + const iterator = this.iterator(); + + const teeIterator = (queue: Array>>): AsyncIterator => { + return { + next: () => { + if (queue.length === 0) { + const result = iterator.next(); + left.push(result); + right.push(result); + } + return queue.shift()!; + }, + }; + }; + + return [ + new Stream(() => teeIterator(left), this.controller), + new Stream(() => teeIterator(right), this.controller), + ]; + } + + /** + * Converts this stream to a newline-separated ReadableStream of + * JSON stringified values in the stream + * which can be turned back into a Stream with `Stream.fromReadableStream()`. + */ + toReadableStream(): ReadableStream { + const self = this; + let iter: AsyncIterator; + const encoder = new TextEncoder(); + + return new ReadableStream({ + async start() { + iter = self[Symbol.asyncIterator](); + }, + async pull(ctrl: any) { + try { + const { value, done } = await iter.next(); + if (done) return ctrl.close(); + + const bytes = encoder.encode(JSON.stringify(value) + '\n'); + + ctrl.enqueue(bytes); + } catch (err) { + ctrl.error(err); + } + }, + async cancel() { + await iter.return?.(); + }, + }); + } +} + +export async function* _iterSSEMessages( + response: Response, + controller: AbortController, +): AsyncGenerator { + if (!response.body) { + controller.abort(); + throw new OpenAIError(`Attempted to iterate over a response with no body`); + } + + const sseDecoder = new SSEDecoder(); + const lineDecoder = new LineDecoder(); + + const iter = ReadableStreamToAsyncIterable(response.body); + for await (const sseChunk of iterSSEChunks(iter)) { + for (const line of lineDecoder.decode(sseChunk)) { + const sse = sseDecoder.decode(line); + if (sse) yield sse; + } + } + + for (const line of lineDecoder.flush()) { + const sse = sseDecoder.decode(line); + if (sse) yield sse; + } +} + +/** + * Given an async iterable iterator, iterates over it and yields full + * SSE chunks, i.e. yields when a double new-line is encountered. + */ +async function* iterSSEChunks(iterator: AsyncIterableIterator): AsyncGenerator { + let data = new Uint8Array(); + + for await (const chunk of iterator) { + if (chunk == null) { + continue; + } + + const binaryChunk = + chunk instanceof ArrayBuffer ? new Uint8Array(chunk) + : typeof chunk === 'string' ? new TextEncoder().encode(chunk) + : chunk; + + let newData = new Uint8Array(data.length + binaryChunk.length); + newData.set(data); + newData.set(binaryChunk, data.length); + data = newData; + + let patternIndex; + while ((patternIndex = findDoubleNewlineIndex(data)) !== -1) { + yield data.slice(0, patternIndex); + data = data.slice(patternIndex); + } + } + + if (data.length > 0) { + yield data; + } +} + +class SSEDecoder { + private data: string[]; + private event: string | null; + private chunks: string[]; + + constructor() { + this.event = null; + this.data = []; + this.chunks = []; + } + + decode(line: string) { + if (line.endsWith('\r')) { + line = line.substring(0, line.length - 1); + } + + if (!line) { + // empty line and we didn't previously encounter any messages + if (!this.event && !this.data.length) return null; + + const sse: ServerSentEvent = { + event: this.event, + data: this.data.join('\n'), + raw: this.chunks, + }; + + this.event = null; + this.data = []; + this.chunks = []; + + return sse; + } + + this.chunks.push(line); + + if (line.startsWith(':')) { + return null; + } + + let [fieldname, _, value] = partition(line, ':'); + + if (value.startsWith(' ')) { + value = value.substring(1); + } + + if (fieldname === 'event') { + this.event = value; + } else if (fieldname === 'data') { + this.data.push(value); + } + + return null; + } +} + +function partition(str: string, delimiter: string): [string, string, string] { + const index = str.indexOf(delimiter); + if (index !== -1) { + return [str.substring(0, index), delimiter, str.substring(index + delimiter.length)]; + } + + return [str, '', '']; +} diff --git a/src/uploads.ts b/src/uploads.ts new file mode 100644 index 000000000..8fd2154d4 --- /dev/null +++ b/src/uploads.ts @@ -0,0 +1,255 @@ +import { type RequestOptions } from './core'; +import { + FormData, + File, + type Blob, + type FilePropertyBag, + getMultipartRequestOptions, + type FsReadStream, + isFsReadStream, +} from './_shims/index'; +import { MultipartBody } from './_shims/MultipartBody'; +export { fileFromPath } from './_shims/index'; + +type BlobLikePart = string | ArrayBuffer | ArrayBufferView | BlobLike | Uint8Array | DataView; +export type BlobPart = string | ArrayBuffer | ArrayBufferView | Blob | Uint8Array | DataView; + +/** + * Typically, this is a native "File" class. + * + * We provide the {@link toFile} utility to convert a variety of objects + * into the File class. + * + * For convenience, you can also pass a fetch Response, or in Node, + * the result of fs.createReadStream(). + */ +export type Uploadable = FileLike | ResponseLike | FsReadStream; + +/** + * Intended to match web.Blob, node.Blob, node-fetch.Blob, etc. + */ +export interface BlobLike { + /** [MDN Reference](https://developer.mozilla.org/docs/Web/API/Blob/size) */ + readonly size: number; + /** [MDN Reference](https://developer.mozilla.org/docs/Web/API/Blob/type) */ + readonly type: string; + /** [MDN Reference](https://developer.mozilla.org/docs/Web/API/Blob/text) */ + text(): Promise; + /** [MDN Reference](https://developer.mozilla.org/docs/Web/API/Blob/slice) */ + slice(start?: number, end?: number): BlobLike; + // unfortunately @types/node-fetch@^2.6.4 doesn't type the arrayBuffer method +} + +/** + * Intended to match web.File, node.File, node-fetch.File, etc. + */ +export interface FileLike extends BlobLike { + /** [MDN Reference](https://developer.mozilla.org/docs/Web/API/File/lastModified) */ + readonly lastModified: number; + /** [MDN Reference](https://developer.mozilla.org/docs/Web/API/File/name) */ + readonly name: string; +} + +/** + * Intended to match web.Response, node.Response, node-fetch.Response, etc. + */ +export interface ResponseLike { + url: string; + blob(): Promise; +} + +export const isResponseLike = (value: any): value is ResponseLike => + value != null && + typeof value === 'object' && + typeof value.url === 'string' && + typeof value.blob === 'function'; + +export const isFileLike = (value: any): value is FileLike => + value != null && + typeof value === 'object' && + typeof value.name === 'string' && + typeof value.lastModified === 'number' && + isBlobLike(value); + +/** + * The BlobLike type omits arrayBuffer() because @types/node-fetch@^2.6.4 lacks it; but this check + * adds the arrayBuffer() method type because it is available and used at runtime + */ +export const isBlobLike = (value: any): value is BlobLike & { arrayBuffer(): Promise } => + value != null && + typeof value === 'object' && + typeof value.size === 'number' && + typeof value.type === 'string' && + typeof value.text === 'function' && + typeof value.slice === 'function' && + typeof value.arrayBuffer === 'function'; + +export const isUploadable = (value: any): value is Uploadable => { + return isFileLike(value) || isResponseLike(value) || isFsReadStream(value); +}; + +export type ToFileInput = Uploadable | Exclude | AsyncIterable; + +/** + * Helper for creating a {@link File} to pass to an SDK upload method from a variety of different data formats + * @param value the raw content of the file. Can be an {@link Uploadable}, {@link BlobLikePart}, or {@link AsyncIterable} of {@link BlobLikePart}s + * @param {string=} name the name of the file. If omitted, toFile will try to determine a file name from bits if possible + * @param {Object=} options additional properties + * @param {string=} options.type the MIME type of the content + * @param {number=} options.lastModified the last modified timestamp + * @returns a {@link File} with the given properties + */ +export async function toFile( + value: ToFileInput | PromiseLike, + name?: string | null | undefined, + options?: FilePropertyBag | undefined, +): Promise { + // If it's a promise, resolve it. + value = await value; + + // If we've been given a `File` we don't need to do anything + if (isFileLike(value)) { + return value; + } + + if (isResponseLike(value)) { + const blob = await value.blob(); + name ||= new URL(value.url).pathname.split(/[\\/]/).pop() ?? 'unknown_file'; + + // we need to convert the `Blob` into an array buffer because the `Blob` class + // that `node-fetch` defines is incompatible with the web standard which results + // in `new File` interpreting it as a string instead of binary data. + const data = isBlobLike(blob) ? [(await blob.arrayBuffer()) as any] : [blob]; + + return new File(data, name, options); + } + + const bits = await getBytes(value); + + name ||= getName(value) ?? 'unknown_file'; + + if (!options?.type) { + const type = (bits[0] as any)?.type; + if (typeof type === 'string') { + options = { ...options, type }; + } + } + + return new File(bits, name, options); +} + +async function getBytes(value: ToFileInput): Promise> { + let parts: Array = []; + if ( + typeof value === 'string' || + ArrayBuffer.isView(value) || // includes Uint8Array, Buffer, etc. + value instanceof ArrayBuffer + ) { + parts.push(value); + } else if (isBlobLike(value)) { + parts.push(await value.arrayBuffer()); + } else if ( + isAsyncIterableIterator(value) // includes Readable, ReadableStream, etc. + ) { + for await (const chunk of value) { + parts.push(chunk as BlobPart); // TODO, consider validating? + } + } else { + throw new Error( + `Unexpected data type: ${typeof value}; constructor: ${value?.constructor + ?.name}; props: ${propsForError(value)}`, + ); + } + + return parts; +} + +function propsForError(value: any): string { + const props = Object.getOwnPropertyNames(value); + return `[${props.map((p) => `"${p}"`).join(', ')}]`; +} + +function getName(value: any): string | undefined { + return ( + getStringFromMaybeBuffer(value.name) || + getStringFromMaybeBuffer(value.filename) || + // For fs.ReadStream + getStringFromMaybeBuffer(value.path)?.split(/[\\/]/).pop() + ); +} + +const getStringFromMaybeBuffer = (x: string | Buffer | unknown): string | undefined => { + if (typeof x === 'string') return x; + if (typeof Buffer !== 'undefined' && x instanceof Buffer) return String(x); + return undefined; +}; + +const isAsyncIterableIterator = (value: any): value is AsyncIterableIterator => + value != null && typeof value === 'object' && typeof value[Symbol.asyncIterator] === 'function'; + +export const isMultipartBody = (body: any): body is MultipartBody => + body && typeof body === 'object' && body.body && body[Symbol.toStringTag] === 'MultipartBody'; + +/** + * Returns a multipart/form-data request if any part of the given request body contains a File / Blob value. + * Otherwise returns the request as is. + */ +export const maybeMultipartFormRequestOptions = async >( + opts: RequestOptions, +): Promise> => { + if (!hasUploadableValue(opts.body)) return opts; + + const form = await createForm(opts.body); + return getMultipartRequestOptions(form, opts); +}; + +export const multipartFormRequestOptions = async >( + opts: RequestOptions, +): Promise> => { + const form = await createForm(opts.body); + return getMultipartRequestOptions(form, opts); +}; + +export const createForm = async >(body: T | undefined): Promise => { + const form = new FormData(); + await Promise.all(Object.entries(body || {}).map(([key, value]) => addFormValue(form, key, value))); + return form; +}; + +const hasUploadableValue = (value: unknown): boolean => { + if (isUploadable(value)) return true; + if (Array.isArray(value)) return value.some(hasUploadableValue); + if (value && typeof value === 'object') { + for (const k in value) { + if (hasUploadableValue((value as any)[k])) return true; + } + } + return false; +}; + +const addFormValue = async (form: FormData, key: string, value: unknown): Promise => { + if (value === undefined) return; + if (value == null) { + throw new TypeError( + `Received null for "${key}"; to pass null in FormData, you must use the string 'null'`, + ); + } + + // TODO: make nested formats configurable + if (typeof value === 'string' || typeof value === 'number' || typeof value === 'boolean') { + form.append(key, String(value)); + } else if (isUploadable(value)) { + const file = await toFile(value); + form.append(key, file as File); + } else if (Array.isArray(value)) { + await Promise.all(value.map((entry) => addFormValue(form, key + '[]', entry))); + } else if (typeof value === 'object') { + await Promise.all( + Object.entries(value).map(([name, prop]) => addFormValue(form, `${key}[${name}]`, prop)), + ); + } else { + throw new TypeError( + `Invalid value given to form, expected a string, number, boolean, object, Array, File or Blob but got ${value} instead`, + ); + } +}; diff --git a/src/version.ts b/src/version.ts new file mode 100644 index 000000000..62b43ffce --- /dev/null +++ b/src/version.ts @@ -0,0 +1 @@ +export const VERSION = '4.100.0'; // x-release-please-version diff --git a/tests/_vendor/partial-json-parser/partial-json-parsing.test.ts b/tests/_vendor/partial-json-parser/partial-json-parsing.test.ts new file mode 100644 index 000000000..6fad8f1a9 --- /dev/null +++ b/tests/_vendor/partial-json-parser/partial-json-parsing.test.ts @@ -0,0 +1,58 @@ +import fc from 'fast-check'; +import { MalformedJSON, partialParse } from 'openai/_vendor/partial-json-parser/parser'; + +describe('partial parsing', () => { + test('should parse complete json', () => { + expect(partialParse('{"__proto__": 0}')).toEqual(JSON.parse('{"__proto__": 0}')); + + fc.assert( + fc.property(fc.json({ depthSize: 'large', noUnicodeString: false }), (jsonString) => { + const parsedNormal = JSON.parse(jsonString); + const parsedPartial = partialParse(jsonString); + expect(parsedPartial).toEqual(parsedNormal); + }), + ); + }); + + test('should parse partial json', () => { + expect(partialParse('{"field')).toEqual({}); + expect(partialParse('"')).toEqual(''); + expect(partialParse('[2, 3, 4')).toEqual([2, 3]); + expect(partialParse('{"field": true, "field2')).toEqual({ field: true }); + expect(partialParse('{"field": true, "field2":')).toEqual({ field: true }); + expect(partialParse('{"field": true, "field2":{')).toEqual({ field: true, field2: {} }); + expect(partialParse('{"field": true, "field2": { "obj": "somestr')).toEqual({ + field: true, + field2: { obj: 'somestr' }, + }); + expect(partialParse('{"field": true, "field2": { "obj": "somestr",')).toEqual({ + field: true, + field2: { obj: 'somestr' }, + }); + expect(partialParse('{"field": "va')).toEqual({ field: 'va' }); + expect(partialParse('[ "v1", 2, "v2", 3')).toEqual(['v1', 2, 'v2']); + expect(partialParse('[ "v1", 2, "v2", -')).toEqual(['v1', 2, 'v2']); + expect(partialParse('[1, 2e')).toEqual([1]); + }); + + test('should only throw errors parsing numbers', () => + fc.assert( + fc.property(fc.json({ depthSize: 'large', noUnicodeString: false }), (jsonString) => { + for (let i = 1; i < jsonString.length; i++) { + // speedup + i += Math.floor(Math.random() * 3); + const substring = jsonString.substring(0, i); + + // since we don't allow partial parsing for numbers + if ( + typeof JSON.parse(jsonString) === 'number' && + 'e-+.'.includes(substring[substring.length - 1]!) + ) { + expect(() => partialParse(substring)).toThrow(MalformedJSON); + } else { + partialParse(substring); + } + } + }), + )); +}); diff --git a/tests/api-resources/audio/speech.test.ts b/tests/api-resources/audio/speech.test.ts new file mode 100644 index 000000000..191c6a313 --- /dev/null +++ b/tests/api-resources/audio/speech.test.ts @@ -0,0 +1,22 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource speech', () => { + // binary tests are currently broken + test.skip('create: required and optional params', async () => { + const response = await client.audio.speech.create({ + input: 'input', + model: 'string', + voice: 'ash', + instructions: 'instructions', + response_format: 'mp3', + speed: 0.25, + }); + }); +}); diff --git a/tests/api-resources/audio/transcriptions.test.ts b/tests/api-resources/audio/transcriptions.test.ts new file mode 100644 index 000000000..ad76808d0 --- /dev/null +++ b/tests/api-resources/audio/transcriptions.test.ts @@ -0,0 +1,40 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI, { toFile } from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource transcriptions', () => { + test('create: only required params', async () => { + const responsePromise = client.audio.transcriptions.create({ + file: await toFile(Buffer.from('# my file contents'), 'README.md'), + model: 'gpt-4o-transcribe', + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await client.audio.transcriptions.create({ + file: await toFile(Buffer.from('# my file contents'), 'README.md'), + model: 'gpt-4o-transcribe', + chunking_strategy: 'auto', + include: ['logprobs'], + language: 'language', + prompt: 'prompt', + response_format: 'json', + stream: false, + temperature: 0, + timestamp_granularities: ['word'], + }); + }); +}); diff --git a/tests/api-resources/audio/translations.test.ts b/tests/api-resources/audio/translations.test.ts new file mode 100644 index 000000000..7966ff49a --- /dev/null +++ b/tests/api-resources/audio/translations.test.ts @@ -0,0 +1,35 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI, { toFile } from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource translations', () => { + test('create: only required params', async () => { + const responsePromise = client.audio.translations.create({ + file: await toFile(Buffer.from('# my file contents'), 'README.md'), + model: 'whisper-1', + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await client.audio.translations.create({ + file: await toFile(Buffer.from('# my file contents'), 'README.md'), + model: 'whisper-1', + prompt: 'prompt', + response_format: 'json', + temperature: 0, + }); + }); +}); diff --git a/tests/api-resources/batches.test.ts b/tests/api-resources/batches.test.ts new file mode 100644 index 000000000..7c7397d06 --- /dev/null +++ b/tests/api-resources/batches.test.ts @@ -0,0 +1,96 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource batches', () => { + test('create: only required params', async () => { + const responsePromise = client.batches.create({ + completion_window: '24h', + endpoint: '/v1/responses', + input_file_id: 'input_file_id', + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await client.batches.create({ + completion_window: '24h', + endpoint: '/v1/responses', + input_file_id: 'input_file_id', + metadata: { foo: 'string' }, + }); + }); + + test('retrieve', async () => { + const responsePromise = client.batches.retrieve('batch_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('retrieve: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect(client.batches.retrieve('batch_id', { path: '/_stainless_unknown_path' })).rejects.toThrow( + OpenAI.NotFoundError, + ); + }); + + test('list', async () => { + const responsePromise = client.batches.list(); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('list: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect(client.batches.list({ path: '/_stainless_unknown_path' })).rejects.toThrow( + OpenAI.NotFoundError, + ); + }); + + test('list: request options and params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.batches.list({ after: 'after', limit: 0 }, { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('cancel', async () => { + const responsePromise = client.batches.cancel('batch_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('cancel: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect(client.batches.cancel('batch_id', { path: '/_stainless_unknown_path' })).rejects.toThrow( + OpenAI.NotFoundError, + ); + }); +}); diff --git a/tests/api-resources/beta/assistants.test.ts b/tests/api-resources/beta/assistants.test.ts new file mode 100644 index 000000000..16bc9f942 --- /dev/null +++ b/tests/api-resources/beta/assistants.test.ts @@ -0,0 +1,121 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource assistants', () => { + test('create: only required params', async () => { + const responsePromise = client.beta.assistants.create({ model: 'gpt-4o' }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await client.beta.assistants.create({ + model: 'gpt-4o', + description: 'description', + instructions: 'instructions', + metadata: { foo: 'string' }, + name: 'name', + reasoning_effort: 'low', + response_format: 'auto', + temperature: 1, + tool_resources: { + code_interpreter: { file_ids: ['string'] }, + file_search: { + vector_store_ids: ['string'], + vector_stores: [ + { chunking_strategy: { type: 'auto' }, file_ids: ['string'], metadata: { foo: 'string' } }, + ], + }, + }, + tools: [{ type: 'code_interpreter' }], + top_p: 1, + }); + }); + + test('retrieve', async () => { + const responsePromise = client.beta.assistants.retrieve('assistant_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('retrieve: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.beta.assistants.retrieve('assistant_id', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('update', async () => { + const responsePromise = client.beta.assistants.update('assistant_id', {}); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('list', async () => { + const responsePromise = client.beta.assistants.list(); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('list: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect(client.beta.assistants.list({ path: '/_stainless_unknown_path' })).rejects.toThrow( + OpenAI.NotFoundError, + ); + }); + + test('list: request options and params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.beta.assistants.list( + { after: 'after', before: 'before', limit: 0, order: 'asc' }, + { path: '/_stainless_unknown_path' }, + ), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('del', async () => { + const responsePromise = client.beta.assistants.del('assistant_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('del: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.beta.assistants.del('assistant_id', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); +}); diff --git a/tests/api-resources/beta/realtime/sessions.test.ts b/tests/api-resources/beta/realtime/sessions.test.ts new file mode 100644 index 000000000..dbb92ead3 --- /dev/null +++ b/tests/api-resources/beta/realtime/sessions.test.ts @@ -0,0 +1,22 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource sessions', () => { + test('create', async () => { + const responsePromise = client.beta.realtime.sessions.create({}); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); +}); diff --git a/tests/api-resources/beta/realtime/transcription-sessions.test.ts b/tests/api-resources/beta/realtime/transcription-sessions.test.ts new file mode 100644 index 000000000..d52ce2403 --- /dev/null +++ b/tests/api-resources/beta/realtime/transcription-sessions.test.ts @@ -0,0 +1,22 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource transcriptionSessions', () => { + test('create', async () => { + const responsePromise = client.beta.realtime.transcriptionSessions.create({}); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); +}); diff --git a/tests/api-resources/beta/threads/messages.test.ts b/tests/api-resources/beta/threads/messages.test.ts new file mode 100644 index 000000000..e125edd84 --- /dev/null +++ b/tests/api-resources/beta/threads/messages.test.ts @@ -0,0 +1,110 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource messages', () => { + test('create: only required params', async () => { + const responsePromise = client.beta.threads.messages.create('thread_id', { + content: 'string', + role: 'user', + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await client.beta.threads.messages.create('thread_id', { + content: 'string', + role: 'user', + attachments: [{ file_id: 'file_id', tools: [{ type: 'code_interpreter' }] }], + metadata: { foo: 'string' }, + }); + }); + + test('retrieve', async () => { + const responsePromise = client.beta.threads.messages.retrieve('thread_id', 'message_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('retrieve: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.beta.threads.messages.retrieve('thread_id', 'message_id', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('update', async () => { + const responsePromise = client.beta.threads.messages.update('thread_id', 'message_id', {}); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('list', async () => { + const responsePromise = client.beta.threads.messages.list('thread_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('list: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.beta.threads.messages.list('thread_id', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('list: request options and params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.beta.threads.messages.list( + 'thread_id', + { after: 'after', before: 'before', limit: 0, order: 'asc', run_id: 'run_id' }, + { path: '/_stainless_unknown_path' }, + ), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('del', async () => { + const responsePromise = client.beta.threads.messages.del('thread_id', 'message_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('del: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.beta.threads.messages.del('thread_id', 'message_id', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); +}); diff --git a/tests/api-resources/beta/threads/runs/runs.test.ts b/tests/api-resources/beta/threads/runs/runs.test.ts new file mode 100644 index 000000000..4b2b8030b --- /dev/null +++ b/tests/api-resources/beta/threads/runs/runs.test.ts @@ -0,0 +1,148 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource runs', () => { + test('create: only required params', async () => { + const responsePromise = client.beta.threads.runs.create('thread_id', { assistant_id: 'assistant_id' }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await client.beta.threads.runs.create('thread_id', { + assistant_id: 'assistant_id', + include: ['step_details.tool_calls[*].file_search.results[*].content'], + additional_instructions: 'additional_instructions', + additional_messages: [ + { + content: 'string', + role: 'user', + attachments: [{ file_id: 'file_id', tools: [{ type: 'code_interpreter' }] }], + metadata: { foo: 'string' }, + }, + ], + instructions: 'instructions', + max_completion_tokens: 256, + max_prompt_tokens: 256, + metadata: { foo: 'string' }, + model: 'string', + parallel_tool_calls: true, + reasoning_effort: 'low', + response_format: 'auto', + stream: false, + temperature: 1, + tool_choice: 'none', + tools: [{ type: 'code_interpreter' }], + top_p: 1, + truncation_strategy: { type: 'auto', last_messages: 1 }, + }); + }); + + test('retrieve', async () => { + const responsePromise = client.beta.threads.runs.retrieve('thread_id', 'run_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('retrieve: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.beta.threads.runs.retrieve('thread_id', 'run_id', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('update', async () => { + const responsePromise = client.beta.threads.runs.update('thread_id', 'run_id', {}); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('list', async () => { + const responsePromise = client.beta.threads.runs.list('thread_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('list: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.beta.threads.runs.list('thread_id', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('list: request options and params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.beta.threads.runs.list( + 'thread_id', + { after: 'after', before: 'before', limit: 0, order: 'asc' }, + { path: '/_stainless_unknown_path' }, + ), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('cancel', async () => { + const responsePromise = client.beta.threads.runs.cancel('thread_id', 'run_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('cancel: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.beta.threads.runs.cancel('thread_id', 'run_id', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('submitToolOutputs: only required params', async () => { + const responsePromise = client.beta.threads.runs.submitToolOutputs('thread_id', 'run_id', { + tool_outputs: [{}], + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('submitToolOutputs: required and optional params', async () => { + const response = await client.beta.threads.runs.submitToolOutputs('thread_id', 'run_id', { + tool_outputs: [{ output: 'output', tool_call_id: 'tool_call_id' }], + stream: false, + }); + }); +}); diff --git a/tests/api-resources/beta/threads/runs/steps.test.ts b/tests/api-resources/beta/threads/runs/steps.test.ts new file mode 100644 index 000000000..64cd228ae --- /dev/null +++ b/tests/api-resources/beta/threads/runs/steps.test.ts @@ -0,0 +1,80 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource steps', () => { + test('retrieve', async () => { + const responsePromise = client.beta.threads.runs.steps.retrieve('thread_id', 'run_id', 'step_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('retrieve: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.beta.threads.runs.steps.retrieve('thread_id', 'run_id', 'step_id', { + path: '/_stainless_unknown_path', + }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('retrieve: request options and params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.beta.threads.runs.steps.retrieve( + 'thread_id', + 'run_id', + 'step_id', + { include: ['step_details.tool_calls[*].file_search.results[*].content'] }, + { path: '/_stainless_unknown_path' }, + ), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('list', async () => { + const responsePromise = client.beta.threads.runs.steps.list('thread_id', 'run_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('list: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.beta.threads.runs.steps.list('thread_id', 'run_id', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('list: request options and params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.beta.threads.runs.steps.list( + 'thread_id', + 'run_id', + { + after: 'after', + before: 'before', + include: ['step_details.tool_calls[*].file_search.results[*].content'], + limit: 0, + order: 'asc', + }, + { path: '/_stainless_unknown_path' }, + ), + ).rejects.toThrow(OpenAI.NotFoundError); + }); +}); diff --git a/tests/api-resources/beta/threads/threads.test.ts b/tests/api-resources/beta/threads/threads.test.ts new file mode 100644 index 000000000..bc92a0c8a --- /dev/null +++ b/tests/api-resources/beta/threads/threads.test.ts @@ -0,0 +1,159 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource threads', () => { + test('create', async () => { + const responsePromise = client.beta.threads.create(); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect(client.beta.threads.create({ path: '/_stainless_unknown_path' })).rejects.toThrow( + OpenAI.NotFoundError, + ); + }); + + test('create: request options and params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.beta.threads.create( + { + messages: [ + { + content: 'string', + role: 'user', + attachments: [{ file_id: 'file_id', tools: [{ type: 'code_interpreter' }] }], + metadata: { foo: 'string' }, + }, + ], + metadata: { foo: 'string' }, + tool_resources: { + code_interpreter: { file_ids: ['string'] }, + file_search: { + vector_store_ids: ['string'], + vector_stores: [ + { chunking_strategy: { type: 'auto' }, file_ids: ['string'], metadata: { foo: 'string' } }, + ], + }, + }, + }, + { path: '/_stainless_unknown_path' }, + ), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('retrieve', async () => { + const responsePromise = client.beta.threads.retrieve('thread_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('retrieve: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.beta.threads.retrieve('thread_id', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('update', async () => { + const responsePromise = client.beta.threads.update('thread_id', {}); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('del', async () => { + const responsePromise = client.beta.threads.del('thread_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('del: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect(client.beta.threads.del('thread_id', { path: '/_stainless_unknown_path' })).rejects.toThrow( + OpenAI.NotFoundError, + ); + }); + + test('createAndRun: only required params', async () => { + const responsePromise = client.beta.threads.createAndRun({ assistant_id: 'assistant_id' }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('createAndRun: required and optional params', async () => { + const response = await client.beta.threads.createAndRun({ + assistant_id: 'assistant_id', + instructions: 'instructions', + max_completion_tokens: 256, + max_prompt_tokens: 256, + metadata: { foo: 'string' }, + model: 'string', + parallel_tool_calls: true, + response_format: 'auto', + stream: false, + temperature: 1, + thread: { + messages: [ + { + content: 'string', + role: 'user', + attachments: [{ file_id: 'file_id', tools: [{ type: 'code_interpreter' }] }], + metadata: { foo: 'string' }, + }, + ], + metadata: { foo: 'string' }, + tool_resources: { + code_interpreter: { file_ids: ['string'] }, + file_search: { + vector_store_ids: ['string'], + vector_stores: [ + { chunking_strategy: { type: 'auto' }, file_ids: ['string'], metadata: { foo: 'string' } }, + ], + }, + }, + }, + tool_choice: 'none', + tool_resources: { + code_interpreter: { file_ids: ['string'] }, + file_search: { vector_store_ids: ['string'] }, + }, + tools: [{ type: 'code_interpreter' }], + top_p: 1, + truncation_strategy: { type: 'auto', last_messages: 1 }, + }); + }); +}); diff --git a/tests/api-resources/chat/completions/completions.test.ts b/tests/api-resources/chat/completions/completions.test.ts new file mode 100644 index 000000000..60c23591a --- /dev/null +++ b/tests/api-resources/chat/completions/completions.test.ts @@ -0,0 +1,151 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource completions', () => { + test('create: only required params', async () => { + const responsePromise = client.chat.completions.create({ + messages: [{ content: 'string', role: 'developer' }], + model: 'gpt-4o', + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await client.chat.completions.create({ + messages: [{ content: 'string', role: 'developer', name: 'name' }], + model: 'gpt-4o', + audio: { format: 'wav', voice: 'ash' }, + frequency_penalty: -2, + function_call: 'none', + functions: [{ name: 'name', description: 'description', parameters: { foo: 'bar' } }], + logit_bias: { foo: 0 }, + logprobs: true, + max_completion_tokens: 0, + max_tokens: 0, + metadata: { foo: 'string' }, + modalities: ['text'], + n: 1, + parallel_tool_calls: true, + prediction: { content: 'string', type: 'content' }, + presence_penalty: -2, + reasoning_effort: 'low', + response_format: { type: 'text' }, + seed: -9007199254740991, + service_tier: 'auto', + stop: '\n', + store: true, + stream: false, + stream_options: { include_usage: true }, + temperature: 1, + tool_choice: 'none', + tools: [ + { + function: { name: 'name', description: 'description', parameters: { foo: 'bar' }, strict: true }, + type: 'function', + }, + ], + top_logprobs: 0, + top_p: 1, + user: 'user-1234', + web_search_options: { + search_context_size: 'low', + user_location: { + approximate: { city: 'city', country: 'country', region: 'region', timezone: 'timezone' }, + type: 'approximate', + }, + }, + }); + }); + + test('retrieve', async () => { + const responsePromise = client.chat.completions.retrieve('completion_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('retrieve: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.chat.completions.retrieve('completion_id', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('update: only required params', async () => { + const responsePromise = client.chat.completions.update('completion_id', { metadata: { foo: 'string' } }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('update: required and optional params', async () => { + const response = await client.chat.completions.update('completion_id', { metadata: { foo: 'string' } }); + }); + + test('list', async () => { + const responsePromise = client.chat.completions.list(); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('list: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect(client.chat.completions.list({ path: '/_stainless_unknown_path' })).rejects.toThrow( + OpenAI.NotFoundError, + ); + }); + + test('list: request options and params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.chat.completions.list( + { after: 'after', limit: 0, metadata: { foo: 'string' }, model: 'model', order: 'asc' }, + { path: '/_stainless_unknown_path' }, + ), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('del', async () => { + const responsePromise = client.chat.completions.del('completion_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('del: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.chat.completions.del('completion_id', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); +}); diff --git a/tests/api-resources/chat/completions/messages.test.ts b/tests/api-resources/chat/completions/messages.test.ts new file mode 100644 index 000000000..664106cb9 --- /dev/null +++ b/tests/api-resources/chat/completions/messages.test.ts @@ -0,0 +1,40 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource messages', () => { + test('list', async () => { + const responsePromise = client.chat.completions.messages.list('completion_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('list: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.chat.completions.messages.list('completion_id', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('list: request options and params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.chat.completions.messages.list( + 'completion_id', + { after: 'after', limit: 0, order: 'asc' }, + { path: '/_stainless_unknown_path' }, + ), + ).rejects.toThrow(OpenAI.NotFoundError); + }); +}); diff --git a/tests/api-resources/completions.test.ts b/tests/api-resources/completions.test.ts new file mode 100644 index 000000000..c98501a87 --- /dev/null +++ b/tests/api-resources/completions.test.ts @@ -0,0 +1,45 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource completions', () => { + test('create: only required params', async () => { + const responsePromise = client.completions.create({ model: 'string', prompt: 'This is a test.' }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await client.completions.create({ + model: 'string', + prompt: 'This is a test.', + best_of: 0, + echo: true, + frequency_penalty: -2, + logit_bias: { foo: 0 }, + logprobs: 0, + max_tokens: 16, + n: 1, + presence_penalty: -2, + seed: 0, + stop: '\n', + stream: false, + stream_options: { include_usage: true }, + suffix: 'test.', + temperature: 1, + top_p: 1, + user: 'user-1234', + }); + }); +}); diff --git a/tests/api-resources/embeddings-base64-response.json b/tests/api-resources/embeddings-base64-response.json new file mode 100644 index 000000000..9b0f7629c --- /dev/null +++ b/tests/api-resources/embeddings-base64-response.json @@ -0,0 +1 @@ +{"object":"list","data":[{"object":"embedding","index":0,"embedding":"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"}],"model":"text-embedding-3-large","usage":{"prompt_tokens":1,"total_tokens":1}} \ No newline at end of file diff --git a/tests/api-resources/embeddings-float-response.json b/tests/api-resources/embeddings-float-response.json new file mode 100644 index 000000000..9b5b788e2 --- /dev/null +++ b/tests/api-resources/embeddings-float-response.json @@ -0,0 +1 @@ +{"object":"list","data":[{"object":"embedding","index":0,"embedding":[-0.099287055,-0.032646775,0.022952586,0.028722659,0.05438033,0.009816091,0.042097155,0.112661555,-0.010402386,0.158172,-0.037476454,-0.01971345,-0.13049422,0.04734479,-0.0074244705,0.030905303,-0.06738331,0.046996493,-0.039008945,-0.018076468,0.10681021,-0.06664029,-0.08405499,-0.012863665,0.10151614,0.015986703,0.061253335,-0.018970422,0.008399694,-0.011064145,-0.049457774,0.14470463,-0.058745615,0.0021840946,0.00446397,0.058141906,0.099287055,0.0050763874,-0.09046361,-0.039008945,0.042886622,-0.103187956,-0.15454973,0.091810346,0.058002587,-0.041957837,0.028978076,0.02623816,-0.002097021,-0.040309247,-0.09250693,0.06928732,0.03229848,0.02623816,-0.08020054,0.022314047,0.18557113,0.079086,-0.030998182,0.030533789,-0.034829415,0.009705798,0.019492865,0.035084832,-0.122228034,-0.022523023,0.06278583,0.037685428,-0.019423205,0.13941054,0.00039908706,-0.052847836,0.035665322,0.04602127,-0.035618883,-0.04787884,0.049457774,0.096314944,-0.030998182,0.08823452,-0.03534025,-0.086841345,-0.06473628,0.03893929,0.06812634,-0.040495,-0.011133804,-0.22476584,0.045440778,0.06636165,0.03403995,0.032461017,-0.005227315,0.008092035,-0.025843427,0.048807625,0.0061880266,0.05670229,0.031509012,0.06993747,-0.034016732,0.10569567,0.0030620862,-0.011110584,0.011795563,0.058931373,0.054101694,0.068033464,-0.008660915,0.091763906,-0.0370585,0.000023809172,0.013188739,0.004437848,-0.053312227,-0.09770812,-0.06343598,0.07903956,-0.007906278,0.028397584,-0.084565826,-0.103466585,0.0017051902,0.0041185785,0.024636008,-0.016404655,-0.14024645,-0.034295365,-0.009694188,-0.14359008,-0.04778596,0.031903747,0.045649756,-0.06088182,0.058049027,-0.052151248,0.10569567,0.087909445,-0.061206896,-0.00021641403,-0.17637616,0.020096574,-0.016276948,-0.09770812,-0.058792055,-0.09018497,0.023393758,-0.08586612,-0.04295628,0.0034829418,0.048528988,-0.06970527,0.047066152,0.0011493708,-0.01672973,-0.014198792,-0.0034916492,0.037871186,-0.010309507,-0.079271756,-0.073234655,-0.0090034045,-0.052244127,-0.0046584345,-0.04834323,-0.008010766,0.060696065,0.04181852,-0.08414787,0.13040134,-0.019295497,0.022592682,-0.03596718,-0.015905434,-0.0956648,-0.021652287,0.011104779,0.030882083,0.02021267,0.0631109,0.017437927,0.14674795,-0.005819415,-0.012364443,-0.029349588,-0.012979763,0.072166555,0.07351329,-0.007923692,-0.09273913,0.007993352,-0.021791605,0.1030022,-0.030858863,0.046230245,-0.14944142,-0.0370585,-0.018064858,-0.02447347,-0.011244097,-0.050340116,-0.03183409,-0.006756907,-0.033087946,-0.001057218,-0.012434102,0.089859895,0.009868335,0.034457903,-0.005073485,0.10532416,0.0394269,0.035084832,-0.06575794,0.09417874,-0.005491438,-0.002366949,0.018099686,-0.005799098,-0.07667115,0.0156151885,-0.06264651,0.07787858,0.09547904,-0.009618724,0.086794905,0.095200405,0.14962718,-0.012039368,0.09882267,-0.037221037,0.033273704,-0.0051402412,0.02804929,-0.08753794,0.009659358,-0.031300034,0.01379245,0.053869497,0.03213594,-0.08526241,0.085633926,-0.039194703,-0.018076468,-0.0023321197,0.009386528,-0.026841871,-0.0025672184,-0.02990686,0.009984433,0.105509914,-0.00069114624,0.022662342,0.0027486214,0.05976728,0.04959709]}],"model":"text-embedding-3-large","usage":{"prompt_tokens":1,"total_tokens":1}} \ No newline at end of file diff --git a/tests/api-resources/embeddings.test.ts b/tests/api-resources/embeddings.test.ts new file mode 100644 index 000000000..629265643 --- /dev/null +++ b/tests/api-resources/embeddings.test.ts @@ -0,0 +1,107 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; +import { mockFetch } from '../utils/mock-fetch'; +import fs from 'fs/promises'; +import Path from 'path'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource embeddings', () => { + test('create: only required params', async () => { + const responsePromise = client.embeddings.create({ + input: 'The quick brown fox jumped over the lazy dog', + model: 'text-embedding-3-small', + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await client.embeddings.create({ + input: 'The quick brown fox jumped over the lazy dog', + model: 'text-embedding-3-small', + dimensions: 1, + encoding_format: 'float', + user: 'user-1234', + }); + }); + + test('create: encoding_format=default should create float32 embeddings', async () => { + const client = makeClient(); + const response = await client.embeddings.create({ + input: 'The quick brown fox jumped over the lazy dog', + model: 'text-embedding-3-small', + }); + + expect(response.data?.at(0)?.embedding).toBeInstanceOf(Array); + expect(response.data?.at(0)?.embedding.at(0)).toBe(-0.09928705543279648); + }); + + test('create: encoding_format=float should create float32 embeddings', async () => { + const client = makeClient(); + const response = await client.embeddings.create({ + input: 'The quick brown fox jumped over the lazy dog', + model: 'text-embedding-3-small', + encoding_format: 'float', + }); + + expect(response.data?.at(0)?.embedding).toBeInstanceOf(Array); + expect(response.data?.at(0)?.embedding.at(0)).toBe(-0.099287055); + }); + + test('create: encoding_format=base64 should return base64 embeddings', async () => { + const client = makeClient(); + const response = await client.embeddings.create({ + input: 'The quick brown fox jumped over the lazy dog', + model: 'text-embedding-3-small', + encoding_format: 'base64', + }); + + expect(typeof response.data?.at(0)?.embedding).toBe('string'); + }); +}); + +function makeClient(): OpenAI { + const { fetch, handleRequest } = mockFetch(); + + handleRequest(async (_, init) => { + const format = (JSON.parse(init!.body as string) as OpenAI.EmbeddingCreateParams).encoding_format; + return new Response( + await fs.readFile( + Path.join( + __dirname, + + // these responses were taken from the live API with: + // + // model: 'text-embedding-3-large', + // input: 'h', + // dimensions: 256, + + format === 'base64' ? 'embeddings-base64-response.json' : 'embeddings-float-response.json', + ), + ), + { + status: 200, + headers: { + 'Content-Type': 'application/json', + }, + }, + ); + }); + + return new OpenAI({ + fetch, + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', + }); +} diff --git a/tests/api-resources/evals/evals.test.ts b/tests/api-resources/evals/evals.test.ts new file mode 100644 index 000000000..45d1c4f9b --- /dev/null +++ b/tests/api-resources/evals/evals.test.ts @@ -0,0 +1,127 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource evals', () => { + test('create: only required params', async () => { + const responsePromise = client.evals.create({ + data_source_config: { item_schema: { foo: 'bar' }, type: 'custom' }, + testing_criteria: [ + { + input: [{ content: 'content', role: 'role' }], + labels: ['string'], + model: 'model', + name: 'name', + passing_labels: ['string'], + type: 'label_model', + }, + ], + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await client.evals.create({ + data_source_config: { item_schema: { foo: 'bar' }, type: 'custom', include_sample_schema: true }, + testing_criteria: [ + { + input: [{ content: 'content', role: 'role' }], + labels: ['string'], + model: 'model', + name: 'name', + passing_labels: ['string'], + type: 'label_model', + }, + ], + metadata: { foo: 'string' }, + name: 'name', + }); + }); + + test('retrieve', async () => { + const responsePromise = client.evals.retrieve('eval_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('retrieve: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect(client.evals.retrieve('eval_id', { path: '/_stainless_unknown_path' })).rejects.toThrow( + OpenAI.NotFoundError, + ); + }); + + test('update', async () => { + const responsePromise = client.evals.update('eval_id', {}); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('list', async () => { + const responsePromise = client.evals.list(); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('list: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect(client.evals.list({ path: '/_stainless_unknown_path' })).rejects.toThrow( + OpenAI.NotFoundError, + ); + }); + + test('list: request options and params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.evals.list( + { after: 'after', limit: 0, order: 'asc', order_by: 'created_at' }, + { path: '/_stainless_unknown_path' }, + ), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('del', async () => { + const responsePromise = client.evals.del('eval_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('del: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect(client.evals.del('eval_id', { path: '/_stainless_unknown_path' })).rejects.toThrow( + OpenAI.NotFoundError, + ); + }); +}); diff --git a/tests/api-resources/evals/runs/output-items.test.ts b/tests/api-resources/evals/runs/output-items.test.ts new file mode 100644 index 000000000..ff075b404 --- /dev/null +++ b/tests/api-resources/evals/runs/output-items.test.ts @@ -0,0 +1,61 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource outputItems', () => { + test('retrieve', async () => { + const responsePromise = client.evals.runs.outputItems.retrieve('eval_id', 'run_id', 'output_item_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('retrieve: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.evals.runs.outputItems.retrieve('eval_id', 'run_id', 'output_item_id', { + path: '/_stainless_unknown_path', + }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('list', async () => { + const responsePromise = client.evals.runs.outputItems.list('eval_id', 'run_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('list: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.evals.runs.outputItems.list('eval_id', 'run_id', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('list: request options and params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.evals.runs.outputItems.list( + 'eval_id', + 'run_id', + { after: 'after', limit: 0, order: 'asc', status: 'fail' }, + { path: '/_stainless_unknown_path' }, + ), + ).rejects.toThrow(OpenAI.NotFoundError); + }); +}); diff --git a/tests/api-resources/evals/runs/runs.test.ts b/tests/api-resources/evals/runs/runs.test.ts new file mode 100644 index 000000000..786df0ba1 --- /dev/null +++ b/tests/api-resources/evals/runs/runs.test.ts @@ -0,0 +1,118 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource runs', () => { + test('create: only required params', async () => { + const responsePromise = client.evals.runs.create('eval_id', { + data_source: { source: { content: [{ item: { foo: 'bar' } }], type: 'file_content' }, type: 'jsonl' }, + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await client.evals.runs.create('eval_id', { + data_source: { + source: { content: [{ item: { foo: 'bar' }, sample: { foo: 'bar' } }], type: 'file_content' }, + type: 'jsonl', + }, + metadata: { foo: 'string' }, + name: 'name', + }); + }); + + test('retrieve', async () => { + const responsePromise = client.evals.runs.retrieve('eval_id', 'run_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('retrieve: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.evals.runs.retrieve('eval_id', 'run_id', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('list', async () => { + const responsePromise = client.evals.runs.list('eval_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('list: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect(client.evals.runs.list('eval_id', { path: '/_stainless_unknown_path' })).rejects.toThrow( + OpenAI.NotFoundError, + ); + }); + + test('list: request options and params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.evals.runs.list( + 'eval_id', + { after: 'after', limit: 0, order: 'asc', status: 'queued' }, + { path: '/_stainless_unknown_path' }, + ), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('del', async () => { + const responsePromise = client.evals.runs.del('eval_id', 'run_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('del: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.evals.runs.del('eval_id', 'run_id', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('cancel', async () => { + const responsePromise = client.evals.runs.cancel('eval_id', 'run_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('cancel: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.evals.runs.cancel('eval_id', 'run_id', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); +}); diff --git a/tests/api-resources/files.test.ts b/tests/api-resources/files.test.ts new file mode 100644 index 000000000..c907c4987 --- /dev/null +++ b/tests/api-resources/files.test.ts @@ -0,0 +1,121 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI, { toFile } from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource files', () => { + test('create: only required params', async () => { + const responsePromise = client.files.create({ + file: await toFile(Buffer.from('# my file contents'), 'README.md'), + purpose: 'assistants', + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await client.files.create({ + file: await toFile(Buffer.from('# my file contents'), 'README.md'), + purpose: 'assistants', + }); + }); + + test('retrieve', async () => { + const responsePromise = client.files.retrieve('file_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('retrieve: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect(client.files.retrieve('file_id', { path: '/_stainless_unknown_path' })).rejects.toThrow( + OpenAI.NotFoundError, + ); + }); + + test('list', async () => { + const responsePromise = client.files.list(); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('list: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect(client.files.list({ path: '/_stainless_unknown_path' })).rejects.toThrow( + OpenAI.NotFoundError, + ); + }); + + test('list: request options and params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.files.list( + { after: 'after', limit: 0, order: 'asc', purpose: 'purpose' }, + { path: '/_stainless_unknown_path' }, + ), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('del', async () => { + const responsePromise = client.files.del('file_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('del: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect(client.files.del('file_id', { path: '/_stainless_unknown_path' })).rejects.toThrow( + OpenAI.NotFoundError, + ); + }); + + test('content: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect(client.files.content('file_id', { path: '/_stainless_unknown_path' })).rejects.toThrow( + OpenAI.NotFoundError, + ); + }); + + test('retrieveContent', async () => { + const responsePromise = client.files.retrieveContent('file_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('retrieveContent: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.files.retrieveContent('file_id', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); +}); diff --git a/tests/api-resources/fine-tuning/alpha/graders.test.ts b/tests/api-resources/fine-tuning/alpha/graders.test.ts new file mode 100644 index 000000000..8e47a4c42 --- /dev/null +++ b/tests/api-resources/fine-tuning/alpha/graders.test.ts @@ -0,0 +1,53 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource graders', () => { + test('run: only required params', async () => { + const responsePromise = client.fineTuning.alpha.graders.run({ + grader: { input: 'input', name: 'name', operation: 'eq', reference: 'reference', type: 'string_check' }, + model_sample: 'model_sample', + reference_answer: 'string', + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('run: required and optional params', async () => { + const response = await client.fineTuning.alpha.graders.run({ + grader: { input: 'input', name: 'name', operation: 'eq', reference: 'reference', type: 'string_check' }, + model_sample: 'model_sample', + reference_answer: 'string', + }); + }); + + test('validate: only required params', async () => { + const responsePromise = client.fineTuning.alpha.graders.validate({ + grader: { input: 'input', name: 'name', operation: 'eq', reference: 'reference', type: 'string_check' }, + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('validate: required and optional params', async () => { + const response = await client.fineTuning.alpha.graders.validate({ + grader: { input: 'input', name: 'name', operation: 'eq', reference: 'reference', type: 'string_check' }, + }); + }); +}); diff --git a/tests/api-resources/fine-tuning/checkpoints/permissions.test.ts b/tests/api-resources/fine-tuning/checkpoints/permissions.test.ts new file mode 100644 index 000000000..1e4b40a94 --- /dev/null +++ b/tests/api-resources/fine-tuning/checkpoints/permissions.test.ts @@ -0,0 +1,88 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource permissions', () => { + test('create: only required params', async () => { + const responsePromise = client.fineTuning.checkpoints.permissions.create( + 'ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd', + { project_ids: ['string'] }, + ); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await client.fineTuning.checkpoints.permissions.create( + 'ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd', + { project_ids: ['string'] }, + ); + }); + + test('retrieve', async () => { + const responsePromise = client.fineTuning.checkpoints.permissions.retrieve('ft-AF1WoRqd3aJAHsqc9NY7iL8F'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('retrieve: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.fineTuning.checkpoints.permissions.retrieve('ft-AF1WoRqd3aJAHsqc9NY7iL8F', { + path: '/_stainless_unknown_path', + }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('retrieve: request options and params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.fineTuning.checkpoints.permissions.retrieve( + 'ft-AF1WoRqd3aJAHsqc9NY7iL8F', + { after: 'after', limit: 0, order: 'ascending', project_id: 'project_id' }, + { path: '/_stainless_unknown_path' }, + ), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('del', async () => { + const responsePromise = client.fineTuning.checkpoints.permissions.del( + 'ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd', + 'cp_zc4Q7MP6XxulcVzj4MZdwsAB', + ); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('del: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.fineTuning.checkpoints.permissions.del( + 'ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd', + 'cp_zc4Q7MP6XxulcVzj4MZdwsAB', + { path: '/_stainless_unknown_path' }, + ), + ).rejects.toThrow(OpenAI.NotFoundError); + }); +}); diff --git a/tests/api-resources/fine-tuning/jobs/checkpoints.test.ts b/tests/api-resources/fine-tuning/jobs/checkpoints.test.ts new file mode 100644 index 000000000..d211a9b10 --- /dev/null +++ b/tests/api-resources/fine-tuning/jobs/checkpoints.test.ts @@ -0,0 +1,42 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource checkpoints', () => { + test('list', async () => { + const responsePromise = client.fineTuning.jobs.checkpoints.list('ft-AF1WoRqd3aJAHsqc9NY7iL8F'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('list: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.fineTuning.jobs.checkpoints.list('ft-AF1WoRqd3aJAHsqc9NY7iL8F', { + path: '/_stainless_unknown_path', + }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('list: request options and params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.fineTuning.jobs.checkpoints.list( + 'ft-AF1WoRqd3aJAHsqc9NY7iL8F', + { after: 'after', limit: 0 }, + { path: '/_stainless_unknown_path' }, + ), + ).rejects.toThrow(OpenAI.NotFoundError); + }); +}); diff --git a/tests/api-resources/fine-tuning/jobs/jobs.test.ts b/tests/api-resources/fine-tuning/jobs/jobs.test.ts new file mode 100644 index 000000000..fe8c9efee --- /dev/null +++ b/tests/api-resources/fine-tuning/jobs/jobs.test.ts @@ -0,0 +1,200 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource jobs', () => { + test('create: only required params', async () => { + const responsePromise = client.fineTuning.jobs.create({ + model: 'gpt-4o-mini', + training_file: 'file-abc123', + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await client.fineTuning.jobs.create({ + model: 'gpt-4o-mini', + training_file: 'file-abc123', + hyperparameters: { batch_size: 'auto', learning_rate_multiplier: 'auto', n_epochs: 'auto' }, + integrations: [ + { + type: 'wandb', + wandb: { project: 'my-wandb-project', entity: 'entity', name: 'name', tags: ['custom-tag'] }, + }, + ], + method: { + type: 'supervised', + dpo: { + hyperparameters: { + batch_size: 'auto', + beta: 'auto', + learning_rate_multiplier: 'auto', + n_epochs: 'auto', + }, + }, + reinforcement: { + grader: { + input: 'input', + name: 'name', + operation: 'eq', + reference: 'reference', + type: 'string_check', + }, + hyperparameters: { + batch_size: 'auto', + compute_multiplier: 'auto', + eval_interval: 'auto', + eval_samples: 'auto', + learning_rate_multiplier: 'auto', + n_epochs: 'auto', + reasoning_effort: 'default', + }, + }, + supervised: { + hyperparameters: { batch_size: 'auto', learning_rate_multiplier: 'auto', n_epochs: 'auto' }, + }, + }, + seed: 42, + suffix: 'x', + validation_file: 'file-abc123', + }); + }); + + test('retrieve', async () => { + const responsePromise = client.fineTuning.jobs.retrieve('ft-AF1WoRqd3aJAHsqc9NY7iL8F'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('retrieve: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.fineTuning.jobs.retrieve('ft-AF1WoRqd3aJAHsqc9NY7iL8F', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('list', async () => { + const responsePromise = client.fineTuning.jobs.list(); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('list: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect(client.fineTuning.jobs.list({ path: '/_stainless_unknown_path' })).rejects.toThrow( + OpenAI.NotFoundError, + ); + }); + + test('list: request options and params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.fineTuning.jobs.list({ after: 'after', limit: 0 }, { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('cancel', async () => { + const responsePromise = client.fineTuning.jobs.cancel('ft-AF1WoRqd3aJAHsqc9NY7iL8F'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('cancel: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.fineTuning.jobs.cancel('ft-AF1WoRqd3aJAHsqc9NY7iL8F', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('listEvents', async () => { + const responsePromise = client.fineTuning.jobs.listEvents('ft-AF1WoRqd3aJAHsqc9NY7iL8F'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('listEvents: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.fineTuning.jobs.listEvents('ft-AF1WoRqd3aJAHsqc9NY7iL8F', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('listEvents: request options and params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.fineTuning.jobs.listEvents( + 'ft-AF1WoRqd3aJAHsqc9NY7iL8F', + { after: 'after', limit: 0 }, + { path: '/_stainless_unknown_path' }, + ), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('pause', async () => { + const responsePromise = client.fineTuning.jobs.pause('ft-AF1WoRqd3aJAHsqc9NY7iL8F'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('pause: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.fineTuning.jobs.pause('ft-AF1WoRqd3aJAHsqc9NY7iL8F', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('resume', async () => { + const responsePromise = client.fineTuning.jobs.resume('ft-AF1WoRqd3aJAHsqc9NY7iL8F'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('resume: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.fineTuning.jobs.resume('ft-AF1WoRqd3aJAHsqc9NY7iL8F', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); +}); diff --git a/tests/api-resources/images.test.ts b/tests/api-resources/images.test.ts new file mode 100644 index 000000000..04fca0a2a --- /dev/null +++ b/tests/api-resources/images.test.ts @@ -0,0 +1,92 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI, { toFile } from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource images', () => { + test('createVariation: only required params', async () => { + const responsePromise = client.images.createVariation({ + image: await toFile(Buffer.from('# my file contents'), 'README.md'), + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('createVariation: required and optional params', async () => { + const response = await client.images.createVariation({ + image: await toFile(Buffer.from('# my file contents'), 'README.md'), + model: 'string', + n: 1, + response_format: 'url', + size: '1024x1024', + user: 'user-1234', + }); + }); + + test('edit: only required params', async () => { + const responsePromise = client.images.edit({ + image: await toFile(Buffer.from('# my file contents'), 'README.md'), + prompt: 'A cute baby sea otter wearing a beret', + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('edit: required and optional params', async () => { + const response = await client.images.edit({ + image: await toFile(Buffer.from('# my file contents'), 'README.md'), + prompt: 'A cute baby sea otter wearing a beret', + background: 'transparent', + mask: await toFile(Buffer.from('# my file contents'), 'README.md'), + model: 'string', + n: 1, + quality: 'high', + response_format: 'url', + size: '1024x1024', + user: 'user-1234', + }); + }); + + test('generate: only required params', async () => { + const responsePromise = client.images.generate({ prompt: 'A cute baby sea otter' }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('generate: required and optional params', async () => { + const response = await client.images.generate({ + prompt: 'A cute baby sea otter', + background: 'transparent', + model: 'string', + moderation: 'low', + n: 1, + output_compression: 100, + output_format: 'png', + quality: 'medium', + response_format: 'url', + size: '1024x1024', + style: 'vivid', + user: 'user-1234', + }); + }); +}); diff --git a/tests/api-resources/models.test.ts b/tests/api-resources/models.test.ts new file mode 100644 index 000000000..23ebd1bb6 --- /dev/null +++ b/tests/api-resources/models.test.ts @@ -0,0 +1,65 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource models', () => { + test('retrieve', async () => { + const responsePromise = client.models.retrieve('gpt-4o-mini'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('retrieve: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect(client.models.retrieve('gpt-4o-mini', { path: '/_stainless_unknown_path' })).rejects.toThrow( + OpenAI.NotFoundError, + ); + }); + + test('list', async () => { + const responsePromise = client.models.list(); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('list: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect(client.models.list({ path: '/_stainless_unknown_path' })).rejects.toThrow( + OpenAI.NotFoundError, + ); + }); + + test('del', async () => { + const responsePromise = client.models.del('ft:gpt-4o-mini:acemeco:suffix:abc123'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('del: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.models.del('ft:gpt-4o-mini:acemeco:suffix:abc123', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); +}); diff --git a/tests/api-resources/moderations.test.ts b/tests/api-resources/moderations.test.ts new file mode 100644 index 000000000..107ce9974 --- /dev/null +++ b/tests/api-resources/moderations.test.ts @@ -0,0 +1,26 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource moderations', () => { + test('create: only required params', async () => { + const responsePromise = client.moderations.create({ input: 'I want to kill them.' }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await client.moderations.create({ input: 'I want to kill them.', model: 'string' }); + }); +}); diff --git a/tests/api-resources/responses/input-items.test.ts b/tests/api-resources/responses/input-items.test.ts new file mode 100644 index 000000000..25ab166c0 --- /dev/null +++ b/tests/api-resources/responses/input-items.test.ts @@ -0,0 +1,40 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource inputItems', () => { + test('list', async () => { + const responsePromise = client.responses.inputItems.list('response_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('list: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.responses.inputItems.list('response_id', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('list: request options and params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.responses.inputItems.list( + 'response_id', + { after: 'after', before: 'before', include: ['file_search_call.results'], limit: 0, order: 'asc' }, + { path: '/_stainless_unknown_path' }, + ), + ).rejects.toThrow(OpenAI.NotFoundError); + }); +}); diff --git a/tests/api-resources/responses/responses.test.ts b/tests/api-resources/responses/responses.test.ts new file mode 100644 index 000000000..cf7e9cf3c --- /dev/null +++ b/tests/api-resources/responses/responses.test.ts @@ -0,0 +1,103 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource responses', () => { + test('create: only required params', async () => { + const responsePromise = client.responses.create({ input: 'string', model: 'gpt-4o' }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await client.responses.create({ + input: 'string', + model: 'gpt-4o', + include: ['file_search_call.results'], + instructions: 'instructions', + max_output_tokens: 0, + metadata: { foo: 'string' }, + parallel_tool_calls: true, + previous_response_id: 'previous_response_id', + reasoning: { effort: 'low', generate_summary: 'auto', summary: 'auto' }, + service_tier: 'auto', + store: true, + stream: false, + temperature: 1, + text: { format: { type: 'text' } }, + tool_choice: 'none', + tools: [ + { + type: 'file_search', + vector_store_ids: ['string'], + filters: { key: 'key', type: 'eq', value: 'string' }, + max_num_results: 0, + ranking_options: { ranker: 'auto', score_threshold: 0 }, + }, + ], + top_p: 1, + truncation: 'auto', + user: 'user-1234', + }); + }); + + test('retrieve', async () => { + const responsePromise = client.responses.retrieve('resp_677efb5139a88190b512bc3fef8e535d'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('retrieve: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.responses.retrieve('resp_677efb5139a88190b512bc3fef8e535d', { + path: '/_stainless_unknown_path', + }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('retrieve: request options and params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.responses.retrieve( + 'resp_677efb5139a88190b512bc3fef8e535d', + { include: ['file_search_call.results'] }, + { path: '/_stainless_unknown_path' }, + ), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('del', async () => { + const responsePromise = client.responses.del('resp_677efb5139a88190b512bc3fef8e535d'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('del: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.responses.del('resp_677efb5139a88190b512bc3fef8e535d', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); +}); diff --git a/tests/api-resources/uploads/parts.test.ts b/tests/api-resources/uploads/parts.test.ts new file mode 100644 index 000000000..e584bab8e --- /dev/null +++ b/tests/api-resources/uploads/parts.test.ts @@ -0,0 +1,30 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI, { toFile } from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource parts', () => { + test('create: only required params', async () => { + const responsePromise = client.uploads.parts.create('upload_abc123', { + data: await toFile(Buffer.from('# my file contents'), 'README.md'), + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await client.uploads.parts.create('upload_abc123', { + data: await toFile(Buffer.from('# my file contents'), 'README.md'), + }); + }); +}); diff --git a/tests/api-resources/uploads/uploads.test.ts b/tests/api-resources/uploads/uploads.test.ts new file mode 100644 index 000000000..c9ea4ddd7 --- /dev/null +++ b/tests/api-resources/uploads/uploads.test.ts @@ -0,0 +1,69 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource uploads', () => { + test('create: only required params', async () => { + const responsePromise = client.uploads.create({ + bytes: 0, + filename: 'filename', + mime_type: 'mime_type', + purpose: 'assistants', + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await client.uploads.create({ + bytes: 0, + filename: 'filename', + mime_type: 'mime_type', + purpose: 'assistants', + }); + }); + + test('cancel', async () => { + const responsePromise = client.uploads.cancel('upload_abc123'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('cancel: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.uploads.cancel('upload_abc123', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('complete: only required params', async () => { + const responsePromise = client.uploads.complete('upload_abc123', { part_ids: ['string'] }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('complete: required and optional params', async () => { + const response = await client.uploads.complete('upload_abc123', { part_ids: ['string'], md5: 'md5' }); + }); +}); diff --git a/tests/api-resources/vector-stores/file-batches.test.ts b/tests/api-resources/vector-stores/file-batches.test.ts new file mode 100644 index 000000000..c0447a838 --- /dev/null +++ b/tests/api-resources/vector-stores/file-batches.test.ts @@ -0,0 +1,102 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource fileBatches', () => { + test('create: only required params', async () => { + const responsePromise = client.vectorStores.fileBatches.create('vs_abc123', { file_ids: ['string'] }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await client.vectorStores.fileBatches.create('vs_abc123', { + file_ids: ['string'], + attributes: { foo: 'string' }, + chunking_strategy: { type: 'auto' }, + }); + }); + + test('retrieve', async () => { + const responsePromise = client.vectorStores.fileBatches.retrieve('vs_abc123', 'vsfb_abc123'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('retrieve: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.vectorStores.fileBatches.retrieve('vs_abc123', 'vsfb_abc123', { + path: '/_stainless_unknown_path', + }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('cancel', async () => { + const responsePromise = client.vectorStores.fileBatches.cancel('vector_store_id', 'batch_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('cancel: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.vectorStores.fileBatches.cancel('vector_store_id', 'batch_id', { + path: '/_stainless_unknown_path', + }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('listFiles', async () => { + const responsePromise = client.vectorStores.fileBatches.listFiles('vector_store_id', 'batch_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('listFiles: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.vectorStores.fileBatches.listFiles('vector_store_id', 'batch_id', { + path: '/_stainless_unknown_path', + }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('listFiles: request options and params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.vectorStores.fileBatches.listFiles( + 'vector_store_id', + 'batch_id', + { after: 'after', before: 'before', filter: 'in_progress', limit: 0, order: 'asc' }, + { path: '/_stainless_unknown_path' }, + ), + ).rejects.toThrow(OpenAI.NotFoundError); + }); +}); diff --git a/tests/api-resources/vector-stores/files.test.ts b/tests/api-resources/vector-stores/files.test.ts new file mode 100644 index 000000000..86a8f9bb4 --- /dev/null +++ b/tests/api-resources/vector-stores/files.test.ts @@ -0,0 +1,132 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource files', () => { + test('create: only required params', async () => { + const responsePromise = client.vectorStores.files.create('vs_abc123', { file_id: 'file_id' }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('create: required and optional params', async () => { + const response = await client.vectorStores.files.create('vs_abc123', { + file_id: 'file_id', + attributes: { foo: 'string' }, + chunking_strategy: { type: 'auto' }, + }); + }); + + test('retrieve', async () => { + const responsePromise = client.vectorStores.files.retrieve('vs_abc123', 'file-abc123'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('retrieve: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.vectorStores.files.retrieve('vs_abc123', 'file-abc123', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('update: only required params', async () => { + const responsePromise = client.vectorStores.files.update('vs_abc123', 'file-abc123', { + attributes: { foo: 'string' }, + }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('update: required and optional params', async () => { + const response = await client.vectorStores.files.update('vs_abc123', 'file-abc123', { + attributes: { foo: 'string' }, + }); + }); + + test('list', async () => { + const responsePromise = client.vectorStores.files.list('vector_store_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('list: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.vectorStores.files.list('vector_store_id', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('list: request options and params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.vectorStores.files.list( + 'vector_store_id', + { after: 'after', before: 'before', filter: 'in_progress', limit: 0, order: 'asc' }, + { path: '/_stainless_unknown_path' }, + ), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('del', async () => { + const responsePromise = client.vectorStores.files.del('vector_store_id', 'file_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('del: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.vectorStores.files.del('vector_store_id', 'file_id', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('content', async () => { + const responsePromise = client.vectorStores.files.content('vs_abc123', 'file-abc123'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('content: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.vectorStores.files.content('vs_abc123', 'file-abc123', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); +}); diff --git a/tests/api-resources/vector-stores/vector-stores.test.ts b/tests/api-resources/vector-stores/vector-stores.test.ts new file mode 100644 index 000000000..465904a00 --- /dev/null +++ b/tests/api-resources/vector-stores/vector-stores.test.ts @@ -0,0 +1,118 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { Response } from 'node-fetch'; + +const client = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('resource vectorStores', () => { + test('create', async () => { + const responsePromise = client.vectorStores.create({}); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('retrieve', async () => { + const responsePromise = client.vectorStores.retrieve('vector_store_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('retrieve: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.vectorStores.retrieve('vector_store_id', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('update', async () => { + const responsePromise = client.vectorStores.update('vector_store_id', {}); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('list', async () => { + const responsePromise = client.vectorStores.list(); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('list: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect(client.vectorStores.list({ path: '/_stainless_unknown_path' })).rejects.toThrow( + OpenAI.NotFoundError, + ); + }); + + test('list: request options and params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.vectorStores.list( + { after: 'after', before: 'before', limit: 0, order: 'asc' }, + { path: '/_stainless_unknown_path' }, + ), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('del', async () => { + const responsePromise = client.vectorStores.del('vector_store_id'); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('del: request options instead of params are passed correctly', async () => { + // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error + await expect( + client.vectorStores.del('vector_store_id', { path: '/_stainless_unknown_path' }), + ).rejects.toThrow(OpenAI.NotFoundError); + }); + + test('search: only required params', async () => { + const responsePromise = client.vectorStores.search('vs_abc123', { query: 'string' }); + const rawResponse = await responsePromise.asResponse(); + expect(rawResponse).toBeInstanceOf(Response); + const response = await responsePromise; + expect(response).not.toBeInstanceOf(Response); + const dataAndResponse = await responsePromise.withResponse(); + expect(dataAndResponse.data).toBe(response); + expect(dataAndResponse.response).toBe(rawResponse); + }); + + test('search: required and optional params', async () => { + const response = await client.vectorStores.search('vs_abc123', { + query: 'string', + filters: { key: 'key', type: 'eq', value: 'string' }, + max_num_results: 1, + ranking_options: { ranker: 'auto', score_threshold: 0 }, + rewrite_query: true, + }); + }); +}); diff --git a/tests/form.test.ts b/tests/form.test.ts new file mode 100644 index 000000000..3a143852c --- /dev/null +++ b/tests/form.test.ts @@ -0,0 +1,65 @@ +import { multipartFormRequestOptions, createForm } from 'openai/core'; +import { Blob } from 'openai/_shims/index'; +import { toFile } from 'openai'; + +describe('form data validation', () => { + test('valid values do not error', async () => { + await multipartFormRequestOptions({ + body: { + foo: 'foo', + string: 1, + bool: true, + file: await toFile(Buffer.from('some-content')), + blob: new Blob(['Some content'], { type: 'text/plain' }), + }, + }); + }); + + test('null', async () => { + await expect(() => + multipartFormRequestOptions({ + body: { + null: null, + }, + }), + ).rejects.toThrow(TypeError); + }); + + test('undefined is stripped', async () => { + const form = await createForm({ + foo: undefined, + bar: 'baz', + }); + expect(form.has('foo')).toBe(false); + expect(form.get('bar')).toBe('baz'); + }); + + test('nested undefined property is stripped', async () => { + const form = await createForm({ + bar: { + baz: undefined, + }, + }); + expect(Array.from(form.entries())).toEqual([]); + + const form2 = await createForm({ + bar: { + foo: 'string', + baz: undefined, + }, + }); + expect(Array.from(form2.entries())).toEqual([['bar[foo]', 'string']]); + }); + + test('nested undefined array item is stripped', async () => { + const form = await createForm({ + bar: [undefined, undefined], + }); + expect(Array.from(form.entries())).toEqual([]); + + const form2 = await createForm({ + bar: [undefined, 'foo'], + }); + expect(Array.from(form2.entries())).toEqual([['bar[]', 'foo']]); + }); +}); diff --git a/tests/helpers/zod.test.ts b/tests/helpers/zod.test.ts new file mode 100644 index 000000000..02d8a7a8f --- /dev/null +++ b/tests/helpers/zod.test.ts @@ -0,0 +1,333 @@ +import { zodResponseFormat } from 'openai/helpers/zod'; +import { z } from 'zod'; + +describe('zodResponseFormat', () => { + it('does the thing', () => { + expect( + zodResponseFormat( + z.object({ + city: z.string(), + temperature: z.number(), + units: z.enum(['c', 'f']), + }), + 'location', + ).json_schema, + ).toMatchInlineSnapshot(` + { + "name": "location", + "schema": { + "$schema": "http://json-schema.org/draft-07/schema#", + "additionalProperties": false, + "properties": { + "city": { + "type": "string", + }, + "temperature": { + "type": "number", + }, + "units": { + "enum": [ + "c", + "f", + ], + "type": "string", + }, + }, + "required": [ + "city", + "temperature", + "units", + ], + "type": "object", + }, + "strict": true, + } + `); + }); + + it('automatically adds optional properties to `required`', () => { + expect( + zodResponseFormat( + z.object({ + city: z.string(), + temperature: z.number(), + units: z.enum(['c', 'f']).optional(), + }), + 'location', + ).json_schema, + ).toMatchInlineSnapshot(` + { + "name": "location", + "schema": { + "$schema": "http://json-schema.org/draft-07/schema#", + "additionalProperties": false, + "properties": { + "city": { + "type": "string", + }, + "temperature": { + "type": "number", + }, + "units": { + "enum": [ + "c", + "f", + ], + "type": "string", + }, + }, + "required": [ + "city", + "temperature", + "units", + ], + "type": "object", + }, + "strict": true, + } + `); + }); + + it('automatically adds properties with defaults to `required`', () => { + expect( + zodResponseFormat( + z.object({ + city: z.string(), + temperature: z.number(), + units: z.enum(['c', 'f']).default('c'), + }), + 'location', + ).json_schema, + ).toMatchInlineSnapshot(` + { + "name": "location", + "schema": { + "$schema": "http://json-schema.org/draft-07/schema#", + "additionalProperties": false, + "properties": { + "city": { + "type": "string", + }, + "temperature": { + "type": "number", + }, + "units": { + "default": "c", + "enum": [ + "c", + "f", + ], + "type": "string", + }, + }, + "required": [ + "city", + "temperature", + "units", + ], + "type": "object", + }, + "strict": true, + } + `); + }); + + it('allows description field to be passed in', () => { + expect( + zodResponseFormat( + z.object({ + city: z.string(), + }), + 'city', + { description: 'A city' }, + ).json_schema, + ).toHaveProperty('description', 'A city'); + }); + + test('kitchen sink types', () => { + const Table = z.enum(['orders', 'customers', 'products']); + + const Column = z.enum([ + 'id', + 'status', + 'expected_delivery_date', + 'delivered_at', + 'shipped_at', + 'ordered_at', + 'canceled_at', + ]); + + const Operator = z.enum(['=', '>', '<', '<=', '>=', '!=']); + + const OrderBy = z.enum(['asc', 'desc']); + + const DynamicValue = z.object({ + column_name: z.string(), + }); + + const Condition = z.object({ + column: z.string(), + operator: Operator, + value: z.union([z.string(), z.number(), DynamicValue]), + }); + + const Query = z.object({ + table_name: Table, + columns: z.array(Column), + conditions: z.array(Condition), + order_by: OrderBy, + }); + + expect(zodResponseFormat(Query, 'query').json_schema).toMatchInlineSnapshot(` + { + "name": "query", + "schema": { + "$schema": "http://json-schema.org/draft-07/schema#", + "additionalProperties": false, + "properties": { + "columns": { + "items": { + "enum": [ + "id", + "status", + "expected_delivery_date", + "delivered_at", + "shipped_at", + "ordered_at", + "canceled_at", + ], + "type": "string", + }, + "type": "array", + }, + "conditions": { + "items": { + "additionalProperties": false, + "properties": { + "column": { + "type": "string", + }, + "operator": { + "enum": [ + "=", + ">", + "<", + "<=", + ">=", + "!=", + ], + "type": "string", + }, + "value": { + "anyOf": [ + { + "type": "string", + }, + { + "type": "number", + }, + { + "additionalProperties": false, + "properties": { + "column_name": { + "type": "string", + }, + }, + "required": [ + "column_name", + ], + "type": "object", + }, + ], + }, + }, + "required": [ + "column", + "operator", + "value", + ], + "type": "object", + }, + "type": "array", + }, + "order_by": { + "enum": [ + "asc", + "desc", + ], + "type": "string", + }, + "table_name": { + "enum": [ + "orders", + "customers", + "products", + ], + "type": "string", + }, + }, + "required": [ + "table_name", + "columns", + "conditions", + "order_by", + ], + "type": "object", + }, + "strict": true, + } + `); + }); + + it('warns on optional fields', () => { + const consoleSpy = jest.spyOn(console, 'warn'); + consoleSpy.mockClear(); + + zodResponseFormat( + z.object({ + required: z.string(), + optional: z.string().optional(), + optional_and_nullable: z.string().optional().nullable(), + }), + 'schema', + ); + + expect(consoleSpy).toHaveBeenCalledWith( + 'Zod field at `#/definitions/schema/properties/optional` uses `.optional()` without `.nullable()` which is not supported by the API. See: https://platform.openai.com/docs/guides/structured-outputs?api-mode=responses#all-fields-must-be-required\nThis will become an error in a future version of the SDK.', + ); + expect(consoleSpy).toHaveBeenCalledTimes(1); + }); + + it('warns on nested optional fields', () => { + const consoleSpy = jest.spyOn(console, 'warn'); + consoleSpy.mockClear(); + + zodResponseFormat( + z.object({ + foo: z.object({ bar: z.array(z.object({ can_be_missing: z.boolean().optional() })) }), + }), + 'schema', + ); + + expect(consoleSpy).toHaveBeenCalledWith( + expect.stringContaining( + 'Zod field at `#/definitions/schema/properties/foo/properties/bar/items/properties/can_be_missing` uses `.optional()`', + ), + ); + expect(consoleSpy).toHaveBeenCalledTimes(1); + }); + + it('does not warn on union nullable fields', () => { + const consoleSpy = jest.spyOn(console, 'warn'); + consoleSpy.mockClear(); + + zodResponseFormat( + z.object({ + union: z.union([z.string(), z.null()]).optional(), + }), + 'schema', + ); + + expect(consoleSpy).toHaveBeenCalledTimes(0); + }); +}); diff --git a/tests/index.test.ts b/tests/index.test.ts new file mode 100644 index 000000000..6227d6fbe --- /dev/null +++ b/tests/index.test.ts @@ -0,0 +1,527 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import OpenAI from 'openai'; +import { APIUserAbortError } from 'openai'; +import { debug, Headers } from 'openai/core'; +import defaultFetch, { Response, type RequestInit, type RequestInfo } from 'node-fetch'; + +describe('instantiate client', () => { + const env = process.env; + + beforeEach(() => { + jest.resetModules(); + process.env = { ...env }; + + console.warn = jest.fn(); + }); + + afterEach(() => { + process.env = env; + }); + + describe('defaultHeaders', () => { + const client = new OpenAI({ + baseURL: 'http://localhost:5000/', + defaultHeaders: { 'X-My-Default-Header': '2' }, + apiKey: 'My API Key', + }); + + test('they are used in the request', () => { + const { req } = client.buildRequest({ path: '/foo', method: 'post' }); + expect((req.headers as Headers)['x-my-default-header']).toEqual('2'); + }); + + test('can ignore `undefined` and leave the default', () => { + const { req } = client.buildRequest({ + path: '/foo', + method: 'post', + headers: { 'X-My-Default-Header': undefined }, + }); + expect((req.headers as Headers)['x-my-default-header']).toEqual('2'); + }); + + test('can be removed with `null`', () => { + const { req } = client.buildRequest({ + path: '/foo', + method: 'post', + headers: { 'X-My-Default-Header': null }, + }); + expect(req.headers as Headers).not.toHaveProperty('x-my-default-header'); + }); + }); + + describe('defaultQuery', () => { + test('with null query params given', () => { + const client = new OpenAI({ + baseURL: 'http://localhost:5000/', + defaultQuery: { apiVersion: 'foo' }, + apiKey: 'My API Key', + }); + expect(client.buildURL('/foo', null)).toEqual('http://localhost:5000/foo?apiVersion=foo'); + }); + + test('multiple default query params', () => { + const client = new OpenAI({ + baseURL: 'http://localhost:5000/', + defaultQuery: { apiVersion: 'foo', hello: 'world' }, + apiKey: 'My API Key', + }); + expect(client.buildURL('/foo', null)).toEqual('http://localhost:5000/foo?apiVersion=foo&hello=world'); + }); + + test('overriding with `undefined`', () => { + const client = new OpenAI({ + baseURL: 'http://localhost:5000/', + defaultQuery: { hello: 'world' }, + apiKey: 'My API Key', + }); + expect(client.buildURL('/foo', { hello: undefined })).toEqual('http://localhost:5000/foo'); + }); + }); + + test('custom fetch', async () => { + const client = new OpenAI({ + baseURL: 'http://localhost:5000/', + apiKey: 'My API Key', + fetch: (url) => { + return Promise.resolve( + new Response(JSON.stringify({ url, custom: true }), { + headers: { 'Content-Type': 'application/json' }, + }), + ); + }, + }); + + const response = await client.get('/foo'); + expect(response).toEqual({ url: 'http://localhost:5000/foo', custom: true }); + }); + + test('explicit global fetch', async () => { + // make sure the global fetch type is assignable to our Fetch type + const client = new OpenAI({ + baseURL: 'http://localhost:5000/', + apiKey: 'My API Key', + fetch: defaultFetch, + }); + }); + + test('custom signal', async () => { + const client = new OpenAI({ + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', + apiKey: 'My API Key', + fetch: (...args) => { + return new Promise((resolve, reject) => + setTimeout( + () => + defaultFetch(...args) + .then(resolve) + .catch(reject), + 300, + ), + ); + }, + }); + + const controller = new AbortController(); + setTimeout(() => controller.abort(), 200); + + const spy = jest.spyOn(client, 'request'); + + await expect(client.get('/foo', { signal: controller.signal })).rejects.toThrowError(APIUserAbortError); + expect(spy).toHaveBeenCalledTimes(1); + }); + + test('normalized method', async () => { + let capturedRequest: RequestInit | undefined; + const testFetch = async (url: RequestInfo, init: RequestInit = {}): Promise => { + capturedRequest = init; + return new Response(JSON.stringify({}), { headers: { 'Content-Type': 'application/json' } }); + }; + + const client = new OpenAI({ baseURL: 'http://localhost:5000/', apiKey: 'My API Key', fetch: testFetch }); + + await client.patch('/foo'); + expect(capturedRequest?.method).toEqual('PATCH'); + }); + + describe('baseUrl', () => { + test('trailing slash', () => { + const client = new OpenAI({ baseURL: 'http://localhost:5000/custom/path/', apiKey: 'My API Key' }); + expect(client.buildURL('/foo', null)).toEqual('http://localhost:5000/custom/path/foo'); + }); + + test('no trailing slash', () => { + const client = new OpenAI({ baseURL: 'http://localhost:5000/custom/path', apiKey: 'My API Key' }); + expect(client.buildURL('/foo', null)).toEqual('http://localhost:5000/custom/path/foo'); + }); + + afterEach(() => { + process.env['OPENAI_BASE_URL'] = undefined; + }); + + test('explicit option', () => { + const client = new OpenAI({ baseURL: 'https://example.com/', apiKey: 'My API Key' }); + expect(client.baseURL).toEqual('https://example.com/'); + }); + + test('env variable', () => { + process.env['OPENAI_BASE_URL'] = 'https://example.com/from_env'; + const client = new OpenAI({ apiKey: 'My API Key' }); + expect(client.baseURL).toEqual('https://example.com/from_env'); + }); + + test('empty env variable', () => { + process.env['OPENAI_BASE_URL'] = ''; // empty + const client = new OpenAI({ apiKey: 'My API Key' }); + expect(client.baseURL).toEqual('https://api.openai.com/v1'); + }); + + test('blank env variable', () => { + process.env['OPENAI_BASE_URL'] = ' '; // blank + const client = new OpenAI({ apiKey: 'My API Key' }); + expect(client.baseURL).toEqual('https://api.openai.com/v1'); + }); + }); + + test('maxRetries option is correctly set', () => { + const client = new OpenAI({ maxRetries: 4, apiKey: 'My API Key' }); + expect(client.maxRetries).toEqual(4); + + // default + const client2 = new OpenAI({ apiKey: 'My API Key' }); + expect(client2.maxRetries).toEqual(2); + }); + + test('with environment variable arguments', () => { + // set options via env var + process.env['OPENAI_API_KEY'] = 'My API Key'; + const client = new OpenAI(); + expect(client.apiKey).toBe('My API Key'); + }); + + test('with overridden environment variable arguments', () => { + // set options via env var + process.env['OPENAI_API_KEY'] = 'another My API Key'; + const client = new OpenAI({ apiKey: 'My API Key' }); + expect(client.apiKey).toBe('My API Key'); + }); +}); + +describe('request building', () => { + const client = new OpenAI({ apiKey: 'My API Key' }); + + describe('Content-Length', () => { + test('handles multi-byte characters', () => { + const { req } = client.buildRequest({ path: '/foo', method: 'post', body: { value: '—' } }); + expect((req.headers as Record)['content-length']).toEqual('20'); + }); + + test('handles standard characters', () => { + const { req } = client.buildRequest({ path: '/foo', method: 'post', body: { value: 'hello' } }); + expect((req.headers as Record)['content-length']).toEqual('22'); + }); + }); + + describe('custom headers', () => { + test('handles undefined', () => { + const { req } = client.buildRequest({ + path: '/foo', + method: 'post', + body: { value: 'hello' }, + headers: { 'X-Foo': 'baz', 'x-foo': 'bar', 'x-Foo': undefined, 'x-baz': 'bam', 'X-Baz': null }, + }); + expect((req.headers as Record)['x-foo']).toEqual('bar'); + expect((req.headers as Record)['x-Foo']).toEqual(undefined); + expect((req.headers as Record)['X-Foo']).toEqual(undefined); + expect((req.headers as Record)['x-baz']).toEqual(undefined); + }); + }); +}); + +describe('retries', () => { + test('retry on timeout', async () => { + let count = 0; + const testFetch = async (url: RequestInfo, { signal }: RequestInit = {}): Promise => { + if (count++ === 0) { + return new Promise( + (resolve, reject) => signal?.addEventListener('abort', () => reject(new Error('timed out'))), + ); + } + return new Response(JSON.stringify({ a: 1 }), { headers: { 'Content-Type': 'application/json' } }); + }; + + const client = new OpenAI({ apiKey: 'My API Key', timeout: 10, fetch: testFetch }); + + expect(await client.request({ path: '/foo', method: 'get' })).toEqual({ a: 1 }); + expect(count).toEqual(2); + expect( + await client + .request({ path: '/foo', method: 'get' }) + .asResponse() + .then((r) => r.text()), + ).toEqual(JSON.stringify({ a: 1 })); + expect(count).toEqual(3); + }); + + test('retry count header', async () => { + let count = 0; + let capturedRequest: RequestInit | undefined; + const testFetch = async (url: RequestInfo, init: RequestInit = {}): Promise => { + count++; + if (count <= 2) { + return new Response(undefined, { + status: 429, + headers: { + 'Retry-After': '0.1', + }, + }); + } + capturedRequest = init; + return new Response(JSON.stringify({ a: 1 }), { headers: { 'Content-Type': 'application/json' } }); + }; + + const client = new OpenAI({ apiKey: 'My API Key', fetch: testFetch, maxRetries: 4 }); + + expect(await client.request({ path: '/foo', method: 'get' })).toEqual({ a: 1 }); + + expect((capturedRequest!.headers as Headers)['x-stainless-retry-count']).toEqual('2'); + expect(count).toEqual(3); + }); + + test('omit retry count header', async () => { + let count = 0; + let capturedRequest: RequestInit | undefined; + const testFetch = async (url: RequestInfo, init: RequestInit = {}): Promise => { + count++; + if (count <= 2) { + return new Response(undefined, { + status: 429, + headers: { + 'Retry-After': '0.1', + }, + }); + } + capturedRequest = init; + return new Response(JSON.stringify({ a: 1 }), { headers: { 'Content-Type': 'application/json' } }); + }; + const client = new OpenAI({ apiKey: 'My API Key', fetch: testFetch, maxRetries: 4 }); + + expect( + await client.request({ + path: '/foo', + method: 'get', + headers: { 'X-Stainless-Retry-Count': null }, + }), + ).toEqual({ a: 1 }); + + expect(capturedRequest!.headers as Headers).not.toHaveProperty('x-stainless-retry-count'); + }); + + test('omit retry count header by default', async () => { + let count = 0; + let capturedRequest: RequestInit | undefined; + const testFetch = async (url: RequestInfo, init: RequestInit = {}): Promise => { + count++; + if (count <= 2) { + return new Response(undefined, { + status: 429, + headers: { + 'Retry-After': '0.1', + }, + }); + } + capturedRequest = init; + return new Response(JSON.stringify({ a: 1 }), { headers: { 'Content-Type': 'application/json' } }); + }; + const client = new OpenAI({ + apiKey: 'My API Key', + fetch: testFetch, + maxRetries: 4, + defaultHeaders: { 'X-Stainless-Retry-Count': null }, + }); + + expect( + await client.request({ + path: '/foo', + method: 'get', + }), + ).toEqual({ a: 1 }); + + expect(capturedRequest!.headers as Headers).not.toHaveProperty('x-stainless-retry-count'); + }); + + test('overwrite retry count header', async () => { + let count = 0; + let capturedRequest: RequestInit | undefined; + const testFetch = async (url: RequestInfo, init: RequestInit = {}): Promise => { + count++; + if (count <= 2) { + return new Response(undefined, { + status: 429, + headers: { + 'Retry-After': '0.1', + }, + }); + } + capturedRequest = init; + return new Response(JSON.stringify({ a: 1 }), { headers: { 'Content-Type': 'application/json' } }); + }; + const client = new OpenAI({ apiKey: 'My API Key', fetch: testFetch, maxRetries: 4 }); + + expect( + await client.request({ + path: '/foo', + method: 'get', + headers: { 'X-Stainless-Retry-Count': '42' }, + }), + ).toEqual({ a: 1 }); + + expect((capturedRequest!.headers as Headers)['x-stainless-retry-count']).toBe('42'); + }); + + test('retry on 429 with retry-after', async () => { + let count = 0; + const testFetch = async (url: RequestInfo, { signal }: RequestInit = {}): Promise => { + if (count++ === 0) { + return new Response(undefined, { + status: 429, + headers: { + 'Retry-After': '0.1', + }, + }); + } + return new Response(JSON.stringify({ a: 1 }), { headers: { 'Content-Type': 'application/json' } }); + }; + + const client = new OpenAI({ apiKey: 'My API Key', fetch: testFetch }); + + expect(await client.request({ path: '/foo', method: 'get' })).toEqual({ a: 1 }); + expect(count).toEqual(2); + expect( + await client + .request({ path: '/foo', method: 'get' }) + .asResponse() + .then((r) => r.text()), + ).toEqual(JSON.stringify({ a: 1 })); + expect(count).toEqual(3); + }); + + test('retry on 429 with retry-after-ms', async () => { + let count = 0; + const testFetch = async (url: RequestInfo, { signal }: RequestInit = {}): Promise => { + if (count++ === 0) { + return new Response(undefined, { + status: 429, + headers: { + 'Retry-After-Ms': '10', + }, + }); + } + return new Response(JSON.stringify({ a: 1 }), { headers: { 'Content-Type': 'application/json' } }); + }; + + const client = new OpenAI({ apiKey: 'My API Key', fetch: testFetch }); + + expect(await client.request({ path: '/foo', method: 'get' })).toEqual({ a: 1 }); + expect(count).toEqual(2); + expect( + await client + .request({ path: '/foo', method: 'get' }) + .asResponse() + .then((r) => r.text()), + ).toEqual(JSON.stringify({ a: 1 })); + expect(count).toEqual(3); + }); +}); + +describe('debug()', () => { + const env = process.env; + const spy = jest.spyOn(console, 'log'); + + beforeEach(() => { + jest.resetModules(); + process.env = { ...env }; + process.env['DEBUG'] = 'true'; + }); + + afterEach(() => { + process.env = env; + }); + + test('body request object with Authorization header', function () { + // Test request body includes headers object with Authorization + const headersTest = { + headers: { + Authorization: 'fakeAuthorization', + }, + }; + debug('request', headersTest); + expect(spy).toHaveBeenCalledWith('OpenAI:DEBUG:request', { + headers: { + Authorization: 'REDACTED', + }, + }); + }); + + test('body request object with api-key header', function () { + // Test request body includes headers object with api-ley + const apiKeyTest = { + headers: { + 'api-key': 'fakeKey', + }, + }; + debug('request', apiKeyTest); + expect(spy).toHaveBeenCalledWith('OpenAI:DEBUG:request', { + headers: { + 'api-key': 'REDACTED', + }, + }); + }); + + test('header object with Authorization header', function () { + // Test headers object with authorization header + const authorizationTest = { + authorization: 'fakeValue', + }; + debug('request', authorizationTest); + expect(spy).toHaveBeenCalledWith('OpenAI:DEBUG:request', { + authorization: 'REDACTED', + }); + }); + + test('input args are not mutated', function () { + const authorizationTest = { + authorization: 'fakeValue', + }; + const client = new OpenAI({ + baseURL: 'http://localhost:5000/', + defaultHeaders: authorizationTest, + apiKey: 'api-key', + }); + + const { req } = client.buildRequest({ path: '/foo', method: 'post' }); + debug('request', authorizationTest); + expect((req.headers as Headers)['authorization']).toEqual('fakeValue'); + expect(spy).toHaveBeenCalledWith('OpenAI:DEBUG:request', { + authorization: 'REDACTED', + }); + }); + + test('input headers are not mutated', function () { + const authorizationTest = { + authorization: 'fakeValue', + }; + const client = new OpenAI({ + baseURL: 'http://localhost:5000/', + defaultHeaders: authorizationTest, + apiKey: 'api-key', + }); + + const { req } = client.buildRequest({ path: '/foo', method: 'post' }); + debug('request', { headers: req.headers }); + expect((req.headers as Headers)['authorization']).toEqual('fakeValue'); + expect(spy).toHaveBeenCalledWith('OpenAI:DEBUG:request', { + authorization: 'REDACTED', + }); + }); +}); diff --git a/tests/internal/decoders/line.test.ts b/tests/internal/decoders/line.test.ts new file mode 100644 index 000000000..e76858e55 --- /dev/null +++ b/tests/internal/decoders/line.test.ts @@ -0,0 +1,128 @@ +import { findDoubleNewlineIndex, LineDecoder } from 'openai/internal/decoders/line'; + +function decodeChunks(chunks: string[], { flush }: { flush: boolean } = { flush: false }): string[] { + const decoder = new LineDecoder(); + const lines: string[] = []; + for (const chunk of chunks) { + lines.push(...decoder.decode(chunk)); + } + + if (flush) { + lines.push(...decoder.flush()); + } + + return lines; +} + +describe('line decoder', () => { + test('basic', () => { + // baz is not included because the line hasn't ended yet + expect(decodeChunks(['foo', ' bar\nbaz'])).toEqual(['foo bar']); + }); + + test('basic with \\r', () => { + expect(decodeChunks(['foo', ' bar\r\nbaz'])).toEqual(['foo bar']); + expect(decodeChunks(['foo', ' bar\r\nbaz'], { flush: true })).toEqual(['foo bar', 'baz']); + }); + + test('trailing new lines', () => { + expect(decodeChunks(['foo', ' bar', 'baz\n', 'thing\n'])).toEqual(['foo barbaz', 'thing']); + }); + + test('trailing new lines with \\r', () => { + expect(decodeChunks(['foo', ' bar', 'baz\r\n', 'thing\r\n'])).toEqual(['foo barbaz', 'thing']); + }); + + test('escaped new lines', () => { + expect(decodeChunks(['foo', ' bar\\nbaz\n'])).toEqual(['foo bar\\nbaz']); + }); + + test('escaped new lines with \\r', () => { + expect(decodeChunks(['foo', ' bar\\r\\nbaz\n'])).toEqual(['foo bar\\r\\nbaz']); + }); + + test('\\r & \\n split across multiple chunks', () => { + expect(decodeChunks(['foo\r', '\n', 'bar'], { flush: true })).toEqual(['foo', 'bar']); + }); + + test('single \\r', () => { + expect(decodeChunks(['foo\r', 'bar'], { flush: true })).toEqual(['foo', 'bar']); + }); + + test('double \\r', () => { + expect(decodeChunks(['foo\r', 'bar\r'], { flush: true })).toEqual(['foo', 'bar']); + expect(decodeChunks(['foo\r', '\r', 'bar'], { flush: true })).toEqual(['foo', '', 'bar']); + // implementation detail that we don't yield the single \r line until a new \r or \n is encountered + expect(decodeChunks(['foo\r', '\r', 'bar'], { flush: false })).toEqual(['foo']); + }); + + test('double \\r then \\r\\n', () => { + expect(decodeChunks(['foo\r', '\r', '\r', '\n', 'bar', '\n'])).toEqual(['foo', '', '', 'bar']); + expect(decodeChunks(['foo\n', '\n', '\n', 'bar', '\n'])).toEqual(['foo', '', '', 'bar']); + }); + + test('double newline', () => { + expect(decodeChunks(['foo\n\nbar'], { flush: true })).toEqual(['foo', '', 'bar']); + expect(decodeChunks(['foo', '\n', '\nbar'], { flush: true })).toEqual(['foo', '', 'bar']); + expect(decodeChunks(['foo\n', '\n', 'bar'], { flush: true })).toEqual(['foo', '', 'bar']); + expect(decodeChunks(['foo', '\n', '\n', 'bar'], { flush: true })).toEqual(['foo', '', 'bar']); + }); + + test('multi-byte characters across chunks', () => { + const decoder = new LineDecoder(); + + // bytes taken from the string 'известни' and arbitrarily split + // so that some multi-byte characters span multiple chunks + expect(decoder.decode(new Uint8Array([0xd0]))).toHaveLength(0); + expect(decoder.decode(new Uint8Array([0xb8, 0xd0, 0xb7, 0xd0]))).toHaveLength(0); + expect( + decoder.decode(new Uint8Array([0xb2, 0xd0, 0xb5, 0xd1, 0x81, 0xd1, 0x82, 0xd0, 0xbd, 0xd0, 0xb8])), + ).toHaveLength(0); + + const decoded = decoder.decode(new Uint8Array([0xa])); + expect(decoded).toEqual(['известни']); + }); + + test('flushing trailing newlines', () => { + expect(decodeChunks(['foo\n', '\nbar'], { flush: true })).toEqual(['foo', '', 'bar']); + }); + + test('flushing empty buffer', () => { + expect(decodeChunks([], { flush: true })).toEqual([]); + }); +}); + +describe('findDoubleNewlineIndex', () => { + test('finds \\n\\n', () => { + expect(findDoubleNewlineIndex(new TextEncoder().encode('foo\n\nbar'))).toBe(5); + expect(findDoubleNewlineIndex(new TextEncoder().encode('\n\nbar'))).toBe(2); + expect(findDoubleNewlineIndex(new TextEncoder().encode('foo\n\n'))).toBe(5); + expect(findDoubleNewlineIndex(new TextEncoder().encode('\n\n'))).toBe(2); + }); + + test('finds \\r\\r', () => { + expect(findDoubleNewlineIndex(new TextEncoder().encode('foo\r\rbar'))).toBe(5); + expect(findDoubleNewlineIndex(new TextEncoder().encode('\r\rbar'))).toBe(2); + expect(findDoubleNewlineIndex(new TextEncoder().encode('foo\r\r'))).toBe(5); + expect(findDoubleNewlineIndex(new TextEncoder().encode('\r\r'))).toBe(2); + }); + + test('finds \\r\\n\\r\\n', () => { + expect(findDoubleNewlineIndex(new TextEncoder().encode('foo\r\n\r\nbar'))).toBe(7); + expect(findDoubleNewlineIndex(new TextEncoder().encode('\r\n\r\nbar'))).toBe(4); + expect(findDoubleNewlineIndex(new TextEncoder().encode('foo\r\n\r\n'))).toBe(7); + expect(findDoubleNewlineIndex(new TextEncoder().encode('\r\n\r\n'))).toBe(4); + }); + + test('returns -1 when no double newline found', () => { + expect(findDoubleNewlineIndex(new TextEncoder().encode('foo\nbar'))).toBe(-1); + expect(findDoubleNewlineIndex(new TextEncoder().encode('foo\rbar'))).toBe(-1); + expect(findDoubleNewlineIndex(new TextEncoder().encode('foo\r\nbar'))).toBe(-1); + expect(findDoubleNewlineIndex(new TextEncoder().encode(''))).toBe(-1); + }); + + test('handles incomplete patterns', () => { + expect(findDoubleNewlineIndex(new TextEncoder().encode('foo\r\n\r'))).toBe(-1); + expect(findDoubleNewlineIndex(new TextEncoder().encode('foo\r\n'))).toBe(-1); + }); +}); diff --git a/tests/lib/ChatCompletionRunFunctions.test.ts b/tests/lib/ChatCompletionRunFunctions.test.ts new file mode 100644 index 000000000..496501a86 --- /dev/null +++ b/tests/lib/ChatCompletionRunFunctions.test.ts @@ -0,0 +1,2444 @@ +import OpenAI from 'openai'; +import { OpenAIError, APIConnectionError } from 'openai/error'; +import { PassThrough } from 'stream'; +import { + ParsingToolFunction, + type ChatCompletionRunner, + type ChatCompletionFunctionRunnerParams, + ChatCompletionStreamingRunner, + type ChatCompletionStreamingFunctionRunnerParams, +} from 'openai/resources/beta/chat/completions'; +import type { ChatCompletionMessageParam } from 'openai/resources/chat/completions'; +import { Response } from 'node-fetch'; +import { isAssistantMessage } from '../../src/lib/chatCompletionUtils'; +import { mockFetch } from '../utils/mock-fetch'; + +// mockChatCompletionFetch is like mockFetch, but with better a more convenient handleRequest to mock +// chat completion request/responses. +function mockChatCompletionFetch() { + const { fetch, handleRequest: handleRawRequest } = mockFetch(); + + function handleRequest( + handler: (body: ChatCompletionFunctionRunnerParams) => Promise, + ): Promise { + return handleRawRequest(async (req, init) => { + const rawBody = init?.body; + if (typeof rawBody !== 'string') throw new Error(`expected init.body to be a string`); + const body: ChatCompletionFunctionRunnerParams = JSON.parse(rawBody); + return new Response(JSON.stringify(await handler(body)), { + headers: { 'Content-Type': 'application/json' }, + }); + }); + } + return { fetch, handleRequest }; +} + +// mockStreamingChatCompletionFetch is like mockFetch, but with better a more convenient handleRequest to mock +// streaming chat completion request/responses. +function mockStreamingChatCompletionFetch() { + const { fetch, handleRequest: handleRawRequest } = mockFetch(); + + function handleRequest( + handler: ( + body: ChatCompletionStreamingFunctionRunnerParams, + ) => AsyncIterable, + ): Promise { + return handleRawRequest(async (req, init) => { + const rawBody = init?.body; + if (typeof rawBody !== 'string') throw new Error(`expected init.body to be a string`); + const body: ChatCompletionStreamingFunctionRunnerParams = JSON.parse(rawBody); + const stream = new PassThrough(); + (async () => { + for await (const chunk of handler(body)) { + stream.write(`data: ${JSON.stringify(chunk)}\n\n`); + } + stream.end(`data: [DONE]\n\n`); + })(); + return new Response(stream, { + headers: { + 'Content-Type': 'text/event-stream', + 'Transfer-Encoding': 'chunked', + }, + }); + }); + } + return { fetch, handleRequest }; +} + +// contentChoiceDeltas returns an async iterator which mocks a delta stream of a by splitting the +// argument into chunks separated by whitespace. +function* contentChoiceDeltas( + content: string, + { + index = 0, + role = 'assistant', + }: { index?: number; role?: NonNullable } = {}, +): Iterable { + const deltas = content.split(/\s+/g); + for (let i = 0; i < deltas.length; i++) { + yield { + index, + finish_reason: i === deltas.length - 1 ? 'stop' : null, + logprobs: null, + delta: { + role, + content: deltas[i] ? `${deltas[i]}${i === deltas.length - 1 ? '' : ' '}` : null, + }, + }; + } +} + +// functionCallDeltas returns an async iterator which mocks a delta stream of a functionCall by splitting +// the argument into chunks separated by whitespace. +function* functionCallDeltas( + args: string, + { + index = 0, + id = '123', + name, + role = 'assistant', + }: { + name: string; + id?: string; + index?: number; + role?: NonNullable; + }, +): Iterable { + const deltas = args.split(/\s+/g); + for (let i = 0; i < deltas.length; i++) { + yield { + index, + finish_reason: i === deltas.length - 1 ? 'function_call' : null, + delta: { + role, + tool_calls: [ + { + type: 'function', + index: 0, + id, + function: { + arguments: `${deltas[i] || ''}${i === deltas.length - 1 ? '' : ' '}`, + ...(i === deltas.length - 1 ? { name } : null), + }, + }, + ], + }, + }; + } +} + +class RunnerListener { + readonly contents: string[] = []; + readonly messages: ChatCompletionMessageParam[] = []; + readonly chatCompletions: OpenAI.Chat.ChatCompletion[] = []; + readonly functionCalls: OpenAI.Chat.ChatCompletionMessage.FunctionCall[] = []; + readonly functionCallResults: string[] = []; + finalContent: string | null = null; + finalMessage: ChatCompletionMessageParam | undefined; + finalChatCompletion: OpenAI.Chat.ChatCompletion | undefined; + finalFunctionCall: OpenAI.Chat.ChatCompletionMessage.FunctionCall | undefined; + finalFunctionCallResult: string | undefined; + totalUsage: OpenAI.CompletionUsage | undefined; + error: OpenAIError | undefined; + gotConnect = false; + gotAbort = false; + gotEnd = false; + + onceMessageCallCount = 0; + + constructor(public runner: ChatCompletionRunner) { + runner + .on('connect', () => (this.gotConnect = true)) + .on('content', (content) => this.contents.push(content)) + .on('message', (message) => this.messages.push(message)) + .on('chatCompletion', (completion) => this.chatCompletions.push(completion)) + .on('functionCall', (functionCall) => this.functionCalls.push(functionCall)) + .on('functionCallResult', (result) => this.functionCallResults.push(result)) + .on('finalContent', (content) => (this.finalContent = content)) + .on('finalMessage', (message) => (this.finalMessage = message)) + .on('finalChatCompletion', (completion) => (this.finalChatCompletion = completion)) + .on('finalFunctionCall', (functionCall) => (this.finalFunctionCall = functionCall)) + .on('finalFunctionCallResult', (result) => (this.finalFunctionCallResult = result)) + .on('totalUsage', (usage) => (this.totalUsage = usage)) + .on('error', (error) => (this.error = error)) + .on('abort', (error) => ((this.error = error), (this.gotAbort = true))) + .on('end', () => (this.gotEnd = true)) + .once('message', () => this.onceMessageCallCount++); + } + + async sanityCheck({ error }: { error?: string } = {}) { + expect(this.onceMessageCallCount).toBeLessThanOrEqual(1); + expect(this.gotAbort).toEqual(this.runner.aborted); + if (this.runner.aborted) expect(this.runner.errored).toBe(true); + if (error) { + expect(this.error?.message).toEqual(error); + expect(this.runner.errored).toBe(true); + await expect(this.runner.finalChatCompletion()).rejects.toThrow(error); + await expect(this.runner.finalMessage()).rejects.toThrow(error); + await expect(this.runner.finalContent()).rejects.toThrow(error); + await expect(this.runner.finalFunctionCall()).rejects.toThrow(error); + await expect(this.runner.finalFunctionCallResult()).rejects.toThrow(error); + await expect(this.runner.totalUsage()).rejects.toThrow(error); + await expect(this.runner.done()).rejects.toThrow(error); + } else { + expect(this.error).toBeUndefined(); + expect(this.runner.errored).toBe(false); + } + + if (!this.gotConnect) { + expect(this.contents).toEqual([]); + expect(this.messages).toEqual([]); + expect(this.chatCompletions).toEqual([]); + expect(this.functionCalls).toEqual([]); + expect(this.functionCallResults).toEqual([]); + expect(this.finalContent).toBeUndefined(); + expect(this.finalMessage).toBeUndefined(); + expect(this.finalChatCompletion).toBeUndefined(); + expect(this.finalFunctionCall).toBeUndefined(); + expect(this.finalFunctionCallResult).toBeUndefined(); + expect(this.totalUsage).toBeUndefined(); + expect(this.gotEnd).toBe(true); + return; + } + + if (error) return; + + const expectedContents = this.messages + .filter(isAssistantMessage) + .map((m) => m.content as string) + .filter(Boolean); + expect(this.contents).toEqual(expectedContents); + expect(this.finalMessage).toEqual([...this.messages].reverse().find((x) => x.role === 'assistant')); + expect(await this.runner.finalMessage()).toEqual(this.finalMessage); + expect(this.finalContent).toEqual(expectedContents[expectedContents.length - 1] ?? null); + expect(await this.runner.finalContent()).toEqual(this.finalContent); + expect(this.finalChatCompletion).toEqual(this.chatCompletions[this.chatCompletions.length - 1]); + expect(await this.runner.finalChatCompletion()).toEqual(this.finalChatCompletion); + expect(this.finalFunctionCall).toEqual(this.functionCalls[this.functionCalls.length - 1]); + expect(await this.runner.finalFunctionCall()).toEqual(this.finalFunctionCall); + expect(this.finalFunctionCallResult).toEqual( + this.functionCallResults[this.functionCallResults.length - 1], + ); + expect(await this.runner.finalFunctionCallResult()).toEqual(this.finalFunctionCallResult); + expect(this.chatCompletions).toEqual(this.runner.allChatCompletions()); + expect(this.messages).toEqual(this.runner.messages.slice(-this.messages.length)); + if (this.chatCompletions.some((c) => c.usage)) { + const totalUsage: OpenAI.CompletionUsage = { + completion_tokens: 0, + prompt_tokens: 0, + total_tokens: 0, + }; + for (const { usage } of this.chatCompletions) { + if (usage) { + totalUsage.completion_tokens += usage.completion_tokens; + totalUsage.prompt_tokens += usage.prompt_tokens; + totalUsage.total_tokens += usage.total_tokens; + } + } + expect(this.totalUsage).toEqual(totalUsage); + expect(await this.runner.totalUsage()).toEqual(totalUsage); + } + + expect(this.gotEnd).toBe(true); + } +} + +class StreamingRunnerListener { + readonly eventChunks: OpenAI.Chat.ChatCompletionChunk[] = []; + readonly eventContents: [string, string][] = []; + readonly eventMessages: ChatCompletionMessageParam[] = []; + readonly eventChatCompletions: OpenAI.Chat.ChatCompletion[] = []; + readonly eventFunctionCalls: OpenAI.Chat.ChatCompletionMessage.FunctionCall[] = []; + readonly eventFunctionCallResults: string[] = []; + + finalContent: string | null = null; + finalMessage: ChatCompletionMessageParam | undefined; + finalChatCompletion: OpenAI.Chat.ChatCompletion | undefined; + finalFunctionCall: OpenAI.Chat.ChatCompletionMessage.FunctionCall | undefined; + finalFunctionCallResult: string | undefined; + error: OpenAIError | undefined; + gotConnect = false; + gotEnd = false; + + constructor(public runner: ChatCompletionStreamingRunner) { + runner + .on('connect', () => (this.gotConnect = true)) + .on('chunk', (chunk) => this.eventChunks.push(chunk)) + .on('content', (delta, snapshot) => this.eventContents.push([delta, snapshot])) + .on('message', (message) => this.eventMessages.push(message)) + .on('chatCompletion', (completion) => this.eventChatCompletions.push(completion)) + .on('functionCall', (functionCall) => this.eventFunctionCalls.push(functionCall)) + .on('functionCallResult', (result) => this.eventFunctionCallResults.push(result)) + .on('finalContent', (content) => (this.finalContent = content)) + .on('finalMessage', (message) => (this.finalMessage = message)) + .on('finalChatCompletion', (completion) => (this.finalChatCompletion = completion)) + .on('finalFunctionCall', (functionCall) => (this.finalFunctionCall = functionCall)) + .on('finalFunctionCallResult', (result) => (this.finalFunctionCallResult = result)) + .on('error', (error) => (this.error = error)) + .on('abort', (abort) => (this.error = abort)) + .on('end', () => (this.gotEnd = true)); + } + + async sanityCheck({ error }: { error?: string } = {}) { + if (error) { + expect(this.error?.message).toEqual(error); + expect(this.runner.errored).toBe(true); + await expect(this.runner.finalChatCompletion()).rejects.toThrow(error); + await expect(this.runner.finalMessage()).rejects.toThrow(error); + await expect(this.runner.finalContent()).rejects.toThrow(error); + await expect(this.runner.finalFunctionCall()).rejects.toThrow(error); + await expect(this.runner.finalFunctionCallResult()).rejects.toThrow(error); + await expect(this.runner.done()).rejects.toThrow(error); + } else { + expect(this.error).toBeUndefined(); + expect(this.runner.errored).toBe(false); + } + + if (!this.gotConnect) { + expect(this.eventContents).toEqual([]); + expect(this.eventMessages).toEqual([]); + expect(this.eventChatCompletions).toEqual([]); + expect(this.eventFunctionCalls).toEqual([]); + expect(this.eventFunctionCallResults).toEqual([]); + expect(this.finalContent).toBeUndefined(); + expect(this.finalMessage).toBeUndefined(); + expect(this.finalChatCompletion).toBeUndefined(); + expect(this.finalFunctionCall).toBeUndefined(); + expect(this.finalFunctionCallResult).toBeUndefined(); + expect(this.gotEnd).toBe(true); + return; + } + + if (error) return; + + if (this.eventContents.length) expect(this.eventChunks.length).toBeGreaterThan(0); + expect(this.finalMessage).toEqual([...this.eventMessages].reverse().find((x) => x.role === 'assistant')); + expect(await this.runner.finalMessage()).toEqual(this.finalMessage); + expect(this.finalContent).toEqual(this.eventContents[this.eventContents.length - 1]?.[1] ?? null); + expect(await this.runner.finalContent()).toEqual(this.finalContent); + expect(this.finalChatCompletion).toEqual(this.eventChatCompletions[this.eventChatCompletions.length - 1]); + expect(await this.runner.finalChatCompletion()).toEqual(this.finalChatCompletion); + expect(this.finalFunctionCall).toEqual(this.eventFunctionCalls[this.eventFunctionCalls.length - 1]); + expect(await this.runner.finalFunctionCall()).toEqual(this.finalFunctionCall); + expect(this.finalFunctionCallResult).toEqual( + this.eventFunctionCallResults[this.eventFunctionCallResults.length - 1], + ); + expect(await this.runner.finalFunctionCallResult()).toEqual(this.finalFunctionCallResult); + expect(this.eventChatCompletions).toEqual(this.runner.allChatCompletions()); + expect(this.eventMessages).toEqual(this.runner.messages.slice(-this.eventMessages.length)); + if (error) { + expect(this.error?.message).toEqual(error); + expect(this.runner.errored).toBe(true); + } else { + expect(this.error).toBeUndefined(); + expect(this.runner.errored).toBe(false); + } + expect(this.gotEnd).toBe(true); + } +} + +function _typeTests() { + const openai = new OpenAI(); + + openai.beta.chat.completions.runTools({ + messages: [ + { role: 'user', content: 'can you tell me how many properties are in {"a": 1, "b": 2, "c": 3}' }, + ], + model: 'gpt-3.5-turbo', + tools: [ + { + type: 'function', + function: { + name: 'numProperties', + function: (obj: object) => String(Object.keys(obj).length), + parameters: { type: 'object' }, + parse: (str: string): object => { + const result = JSON.parse(str); + if (!(result instanceof Object) || Array.isArray(result)) { + throw new Error('must be an object'); + } + return result; + }, + description: 'gets the number of properties on an object', + }, + }, + { + type: 'function', + function: { + function: (str: string) => String(str.length), + parameters: { type: 'string' }, + description: 'gets the length of a string', + }, + }, + { + type: 'function', + // @ts-expect-error function must accept string if parse is omitted + function: { + function: (obj: object) => String(Object.keys(obj).length), + parameters: { type: 'object' }, + description: 'gets the number of properties on an object', + }, + }, + ], + }); + openai.beta.chat.completions.runTools({ + messages: [ + { role: 'user', content: 'can you tell me how many properties are in {"a": 1, "b": 2, "c": 3}' }, + ], + model: 'gpt-3.5-turbo', + tools: [ + new ParsingToolFunction({ + name: 'numProperties', + // @ts-expect-error parse and function don't match + parse: (str: string) => str, + function: (obj: object) => String(Object.keys(obj).length), + parameters: { type: 'object' }, + description: 'gets the number of properties on an object', + }), + ], + }); + openai.beta.chat.completions.runTools({ + messages: [ + { role: 'user', content: 'can you tell me how many properties are in {"a": 1, "b": 2, "c": 3}' }, + ], + model: 'gpt-3.5-turbo', + tools: [ + new ParsingToolFunction({ + name: 'numProperties', + parse: (str: string): object => { + const result = JSON.parse(str); + if (!(result instanceof Object) || Array.isArray(result)) { + throw new Error('must be an object'); + } + return result; + }, + function: (obj: object) => String(Object.keys(obj).length), + parameters: { type: 'object' }, + description: 'gets the number of properties on an object', + }), + new ParsingToolFunction({ + name: 'keys', + parse: (str: string): object => { + const result = JSON.parse(str); + if (!(result instanceof Object)) { + throw new Error('must be an Object'); + } + return result; + }, + function: (obj: object) => Object.keys(obj).join(', '), + parameters: { type: 'object' }, + description: 'gets the number of properties on an object', + }), + new ParsingToolFunction({ + name: 'len2', + // @ts-expect-error parse and function don't match + parse: (str: string) => str, + function: (obj: object) => String(Object.keys(obj).length), + parameters: { type: 'object' }, + description: 'gets the number of properties on an object', + }), + ], + }); + openai.beta.chat.completions.runTools({ + messages: [ + { role: 'user', content: 'can you tell me how many properties are in {"a": 1, "b": 2, "c": 3}' }, + ], + model: 'gpt-3.5-turbo', + // @ts-ignore error occurs here in TS 4 + tools: [ + { + type: 'function', + function: { + name: 'numProperties', + parse: (str: string): object => { + const result = JSON.parse(str); + if (!(result instanceof Object) || Array.isArray(result)) { + throw new Error('must be an object'); + } + return result; + }, + function: (obj: object) => String(Object.keys(obj).length), + parameters: { type: 'object' }, + description: 'gets the number of properties on an object', + }, + }, + { + type: 'function', + function: { + name: 'keys', + parse: (str: string): object => { + const result = JSON.parse(str); + if (!(result instanceof Object)) { + throw new Error('must be an Object'); + } + return result; + }, + function: (obj: object) => Object.keys(obj).join(', '), + parameters: { type: 'object' }, + description: 'gets the number of properties on an object', + }, + }, + { + type: 'function', + function: { + name: 'len2', + parse: (str: string) => str, + // @ts-ignore error occurs here in TS 5 + // function input doesn't match parse output + function: (obj: object) => String(Object.keys(obj).length), + parameters: { type: 'object' }, + description: 'gets the number of properties on an object', + }, + }, + ] as const, + }); +} + +describe('resource completions', () => { + describe('runTools with stream: false', () => { + test('successful flow', async () => { + const { fetch, handleRequest } = mockChatCompletionFetch(); + + const openai = new OpenAI({ apiKey: 'something1234', baseURL: 'http://127.0.0.1:4010/', fetch }); + + const runner = openai.beta.chat.completions.runTools({ + messages: [{ role: 'user', content: 'tell me what the weather is like' }], + model: 'gpt-3.5-turbo', + tools: [ + { + type: 'function', + function: { + function: function getWeather() { + return `it's raining`; + }, + parameters: {}, + description: 'gets the weather', + }, + }, + ], + }); + const listener = new RunnerListener(runner); + + await handleRequest(async (request) => { + expect(request.messages).toEqual([{ role: 'user', content: 'tell me what the weather is like' }]); + return { + id: '1', + choices: [ + { + index: 0, + finish_reason: 'function_call', + logprobs: null, + message: { + role: 'assistant', + content: null, + refusal: null, + parsed: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + arguments: '', + name: 'getWeather', + }, + }, + ], + }, + }, + ], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion', + }; + }); + + await handleRequest(async (request) => { + expect(request.messages).toEqual([ + { + role: 'user', + content: 'tell me what the weather is like', + }, + { + role: 'assistant', + content: null, + refusal: null, + parsed: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + arguments: '', + name: 'getWeather', + parsed_arguments: null, + }, + }, + ], + }, + { + role: 'tool', + content: `it's raining`, + tool_call_id: '123', + }, + ]); + + return { + id: '2', + choices: [ + { + index: 0, + finish_reason: 'stop', + logprobs: null, + message: { + role: 'assistant', + content: `it's raining`, + refusal: null, + }, + }, + ], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion', + }; + }); + + await runner.done(); + + expect(listener.messages).toEqual([ + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + arguments: '', + name: 'getWeather', + parsed_arguments: null, + }, + }, + ], + }, + { role: 'tool', content: `it's raining`, tool_call_id: '123' }, + { + role: 'assistant', + content: "it's raining", + parsed: null, + refusal: null, + tool_calls: undefined, + }, + ]); + expect(listener.functionCallResults).toEqual([`it's raining`]); + await listener.sanityCheck(); + }); + test('flow with abort', async () => { + const { fetch, handleRequest } = mockChatCompletionFetch(); + + const openai = new OpenAI({ apiKey: 'something1234', baseURL: 'http://127.0.0.1:4010/', fetch }); + + const controller = new AbortController(); + const runner = openai.beta.chat.completions.runTools( + { + messages: [{ role: 'user', content: 'tell me what the weather is like' }], + model: 'gpt-3.5-turbo', + tools: [ + { + type: 'function', + function: { + function: function getWeather() { + return `it's raining`; + }, + parameters: {}, + description: 'gets the weather', + }, + }, + ], + }, + { signal: controller.signal }, + ); + const listener = new RunnerListener(runner); + + await handleRequest(async (request) => { + expect(request.messages).toEqual([{ role: 'user', content: 'tell me what the weather is like' }]); + return { + id: '1', + choices: [ + { + index: 0, + finish_reason: 'function_call', + logprobs: null, + message: { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + arguments: '', + name: 'getWeather', + }, + }, + ], + }, + }, + ], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion', + }; + }); + + controller.abort(); + + await runner.done().catch(() => {}); + + expect(listener.messages).toEqual([ + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + arguments: '', + name: 'getWeather', + parsed_arguments: null, + }, + }, + ], + }, + { role: 'tool', content: `it's raining`, tool_call_id: '123' }, + ]); + expect(listener.functionCallResults).toEqual([`it's raining`]); + await listener.sanityCheck({ error: 'Request was aborted.' }); + expect(runner.aborted).toBe(true); + }); + test('successful flow with parse', async () => { + const { fetch, handleRequest } = mockChatCompletionFetch(); + + const openai = new OpenAI({ apiKey: 'something1234', baseURL: 'http://127.0.0.1:4010/', fetch }); + + const runner = openai.beta.chat.completions.runTools({ + messages: [ + { + role: 'user', + content: 'can you tell me how many properties are in {"a": 1, "b": 2, "c": 3}', + }, + ], + model: 'gpt-3.5-turbo', + tools: [ + new ParsingToolFunction({ + name: 'numProperties', + function: (obj: object) => String(Object.keys(obj).length), + parameters: { type: 'object' }, + parse: (str: string): object => { + const result = JSON.parse(str); + if (!(result instanceof Object) || Array.isArray(result)) { + throw new Error('must be an object'); + } + return result; + }, + description: 'gets the number of properties on an object', + }), + ], + }); + const listener = new RunnerListener(runner); + + await handleRequest(async (request) => { + expect(request.messages).toEqual([ + { + role: 'user', + content: 'can you tell me how many properties are in {"a": 1, "b": 2, "c": 3}', + }, + ]); + return { + id: '1', + choices: [ + { + index: 0, + finish_reason: 'function_call', + logprobs: null, + message: { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + arguments: '{"a": 1, "b": 2, "c": 3}', + name: 'numProperties', + }, + }, + ], + }, + }, + ], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion', + usage: { + completion_tokens: 5, + prompt_tokens: 20, + total_tokens: 25, + }, + }; + }); + + await handleRequest(async (request) => { + expect(request.messages).toEqual([ + { + role: 'user', + content: 'can you tell me how many properties are in {"a": 1, "b": 2, "c": 3}', + }, + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + arguments: '{"a": 1, "b": 2, "c": 3}', + name: 'numProperties', + parsed_arguments: null, + }, + }, + ], + }, + { + role: 'tool', + content: '3', + tool_call_id: '123', + }, + ]); + return { + id: '2', + choices: [ + { + index: 0, + finish_reason: 'stop', + logprobs: null, + message: { + role: 'assistant', + content: `there are 3 properties in {"a": 1, "b": 2, "c": 3}`, + refusal: null, + }, + }, + ], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion', + usage: { + completion_tokens: 10, + prompt_tokens: 25, + total_tokens: 35, + }, + }; + }); + + await runner.done(); + + expect(listener.messages).toEqual([ + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + name: 'numProperties', + arguments: '{"a": 1, "b": 2, "c": 3}', + parsed_arguments: null, + }, + }, + ], + }, + { role: 'tool', content: '3', tool_call_id: '123' }, + { + role: 'assistant', + content: 'there are 3 properties in {"a": 1, "b": 2, "c": 3}', + parsed: null, + refusal: null, + tool_calls: undefined, + }, + ]); + expect(listener.functionCallResults).toEqual(['3']); + await listener.sanityCheck(); + }); + test('flow with parse error', async () => { + const { fetch, handleRequest } = mockChatCompletionFetch(); + + const openai = new OpenAI({ apiKey: 'something1234', baseURL: 'http://127.0.0.1:4010/', fetch }); + + const runner = openai.beta.chat.completions.runTools({ + messages: [ + { + role: 'user', + content: 'can you tell me how many properties are in {"a": 1, "b": 2, "c": 3}', + }, + ], + model: 'gpt-3.5-turbo', + tools: [ + new ParsingToolFunction({ + name: 'numProperties', + function: (obj: object) => String(Object.keys(obj).length), + parameters: { type: 'object' }, + parse: (str: string): object => { + const result = JSON.parse(str); + if (!(result instanceof Object) || Array.isArray(result)) { + throw new Error('must be an object'); + } + return result; + }, + description: 'gets the number of properties on an object', + }), + ], + }); + const listener = new RunnerListener(runner); + + await Promise.all([ + handleRequest(async (request) => { + expect(request.messages).toEqual([ + { + role: 'user', + content: 'can you tell me how many properties are in {"a": 1, "b": 2, "c": 3}', + }, + ]); + return { + id: '1', + choices: [ + { + index: 0, + finish_reason: 'function_call', + logprobs: null, + message: { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + arguments: '[{"a": 1, "b": 2, "c": 3}]', + name: 'numProperties', + }, + }, + ], + }, + }, + ], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion', + }; + }), + handleRequest(async (request) => { + expect(request.messages).toEqual([ + { + role: 'user', + content: 'can you tell me how many properties are in {"a": 1, "b": 2, "c": 3}', + }, + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + arguments: '[{"a": 1, "b": 2, "c": 3}]', + name: 'numProperties', + parsed_arguments: null, + }, + }, + ], + }, + { + role: 'tool', + content: `must be an object`, + tool_call_id: '123', + }, + ]); + return { + id: '2', + choices: [ + { + index: 0, + finish_reason: 'function_call', + logprobs: null, + message: { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '1234', + function: { + arguments: '{"a": 1, "b": 2, "c": 3}', + name: 'numProperties', + }, + }, + ], + }, + }, + ], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion', + }; + }), + handleRequest(async (request) => { + expect(request.messages).toEqual([ + { + role: 'user', + content: 'can you tell me how many properties are in {"a": 1, "b": 2, "c": 3}', + }, + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + arguments: '[{"a": 1, "b": 2, "c": 3}]', + name: 'numProperties', + parsed_arguments: null, + }, + }, + ], + }, + { + role: 'tool', + content: `must be an object`, + tool_call_id: '123', + }, + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '1234', + function: { + arguments: '{"a": 1, "b": 2, "c": 3}', + name: 'numProperties', + parsed_arguments: null, + }, + }, + ], + }, + { + role: 'tool', + content: '3', + tool_call_id: '1234', + }, + ]); + return { + id: '3', + choices: [ + { + index: 0, + finish_reason: 'stop', + logprobs: null, + message: { + role: 'assistant', + content: `there are 3 properties in {"a": 1, "b": 2, "c": 3}`, + refusal: null, + }, + }, + ], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion', + }; + }), + runner.done(), + ]); + + expect(listener.messages).toEqual([ + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + name: 'numProperties', + arguments: '[{"a": 1, "b": 2, "c": 3}]', + parsed_arguments: null, + }, + }, + ], + }, + { role: 'tool', content: `must be an object`, tool_call_id: '123' }, + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '1234', + function: { + name: 'numProperties', + arguments: '{"a": 1, "b": 2, "c": 3}', + parsed_arguments: null, + }, + }, + ], + }, + { role: 'tool', content: '3', tool_call_id: '1234' }, + { + role: 'assistant', + content: 'there are 3 properties in {"a": 1, "b": 2, "c": 3}', + parsed: null, + refusal: null, + tool_calls: undefined, + }, + ]); + expect(listener.functionCallResults).toEqual([`must be an object`, '3']); + await listener.sanityCheck(); + }); + test('single function call', async () => { + const { fetch, handleRequest } = mockChatCompletionFetch(); + + const openai = new OpenAI({ apiKey: 'something1234', baseURL: 'http://127.0.0.1:4010/', fetch }); + + const runner = openai.beta.chat.completions.runTools({ + messages: [{ role: 'user', content: 'tell me what the weather is like' }], + model: 'gpt-3.5-turbo', + tool_choice: { + type: 'function', + function: { + name: 'getWeather', + }, + }, + tools: [ + { + type: 'function', + function: { + function: function getWeather() { + return `it's raining`; + }, + parameters: {}, + description: 'gets the weather', + }, + }, + ], + }); + const listener = new RunnerListener(runner); + + await Promise.all([ + handleRequest(async (request) => { + expect(request.messages).toEqual([{ role: 'user', content: 'tell me what the weather is like' }]); + return { + id: '1', + choices: [ + { + index: 0, + finish_reason: 'function_call', + logprobs: null, + message: { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + arguments: '', + name: 'getWeather', + }, + }, + ], + }, + }, + ], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion', + }; + }), + runner.done(), + ]); + + expect(listener.messages).toEqual([ + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + arguments: '', + name: 'getWeather', + parsed_arguments: null, + }, + }, + ], + }, + { role: 'tool', content: `it's raining`, tool_call_id: '123' }, + ]); + expect(listener.functionCallResults).toEqual([`it's raining`]); + await listener.sanityCheck(); + }); + test('wrong function name', async () => { + const { fetch, handleRequest } = mockChatCompletionFetch(); + + const openai = new OpenAI({ apiKey: 'something1234', baseURL: 'http://127.0.0.1:4010/', fetch }); + + const runner = openai.beta.chat.completions.runTools({ + messages: [{ role: 'user', content: 'tell me what the weather is like' }], + model: 'gpt-3.5-turbo', + tools: [ + { + type: 'function', + function: { + function: function getWeather() { + return `it's raining`; + }, + parameters: {}, + description: 'gets the weather', + }, + }, + ], + }); + const listener = new RunnerListener(runner); + + await Promise.all([ + handleRequest(async (request) => { + expect(request.messages).toEqual([{ role: 'user', content: 'tell me what the weather is like' }]); + return { + id: '1', + choices: [ + { + index: 0, + finish_reason: 'function_call', + logprobs: null, + message: { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + arguments: '', + name: 'get_weather', + }, + }, + ], + }, + }, + ], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion', + }; + }), + handleRequest(async (request) => { + expect(request.messages).toEqual([ + { role: 'user', content: 'tell me what the weather is like' }, + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + arguments: '', + name: 'get_weather', + parsed_arguments: null, + }, + }, + ], + }, + { + role: 'tool', + content: `Invalid tool_call: "get_weather". Available options are: "getWeather". Please try again`, + tool_call_id: '123', + }, + ]); + return { + id: '2', + choices: [ + { + index: 0, + finish_reason: 'function_call', + logprobs: null, + message: { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '1234', + function: { + arguments: '', + name: 'getWeather', + }, + }, + ], + }, + }, + ], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion', + }; + }), + handleRequest(async (request) => { + expect(request.messages).toEqual([ + { role: 'user', content: 'tell me what the weather is like' }, + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + arguments: '', + name: 'get_weather', + parsed_arguments: null, + }, + }, + ], + }, + { + role: 'tool', + content: `Invalid tool_call: "get_weather". Available options are: "getWeather". Please try again`, + tool_call_id: '123', + }, + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '1234', + function: { + arguments: '', + name: 'getWeather', + parsed_arguments: null, + }, + }, + ], + }, + { + role: 'tool', + content: `it's raining`, + tool_call_id: '1234', + }, + ]); + return { + id: '3', + choices: [ + { + index: 0, + finish_reason: 'stop', + logprobs: null, + message: { + role: 'assistant', + refusal: null, + content: `it's raining`, + }, + }, + ], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion', + }; + }), + runner.done(), + ]); + + expect(listener.messages).toEqual([ + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { name: 'get_weather', arguments: '', parsed_arguments: null }, + }, + ], + }, + { + role: 'tool', + content: `Invalid tool_call: "get_weather". Available options are: "getWeather". Please try again`, + tool_call_id: '123', + }, + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '1234', + function: { + name: 'getWeather', + arguments: '', + parsed_arguments: null, + }, + }, + ], + }, + { role: 'tool', content: `it's raining`, tool_call_id: '1234' }, + { + role: 'assistant', + content: "it's raining", + parsed: null, + refusal: null, + tool_calls: undefined, + }, + ]); + expect(listener.functionCallResults).toEqual([ + `Invalid tool_call: "get_weather". Available options are: "getWeather". Please try again`, + `it's raining`, + ]); + await listener.sanityCheck(); + }); + }); + + describe('runTools with stream: true', () => { + test('successful flow', async () => { + const { fetch, handleRequest } = mockStreamingChatCompletionFetch(); + + const openai = new OpenAI({ apiKey: 'something1234', baseURL: 'http://127.0.0.1:4010/', fetch }); + + const runner = openai.beta.chat.completions.runTools({ + stream: true, + messages: [{ role: 'user', content: 'tell me what the weather is like' }], + model: 'gpt-3.5-turbo', + tools: [ + { + type: 'function', + function: { + function: function getWeather() { + return `it's raining`; + }, + parameters: {}, + description: 'gets the weather', + }, + }, + ], + }); + const listener = new StreamingRunnerListener(runner); + + await Promise.all([ + handleRequest(async function* (request): AsyncIterable { + expect(request.messages).toEqual([{ role: 'user', content: 'tell me what the weather is like' }]); + yield { + id: '1', + choices: [ + { + index: 0, + finish_reason: 'function_call', + logprobs: null, + delta: { + role: 'assistant', + content: null, + tool_calls: [ + { + type: 'function', + index: 0, + id: '123', + function: { + arguments: '', + name: 'getWeather', + }, + }, + ], + }, + }, + ], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion.chunk', + }; + }), + handleRequest(async function* (request): AsyncIterable { + expect(request.messages).toEqual([ + { role: 'user', content: 'tell me what the weather is like' }, + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + arguments: '', + name: 'getWeather', + }, + }, + ], + }, + { + role: 'tool', + content: `it's raining`, + tool_call_id: '123', + }, + ]); + for (const choice of contentChoiceDeltas(`it's raining`)) { + yield { + id: '2', + choices: [choice], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion.chunk', + }; + } + }), + runner.done(), + ]); + + expect(listener.eventMessages).toEqual([ + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + arguments: '', + name: 'getWeather', + }, + }, + ], + }, + { role: 'tool', content: `it's raining`, tool_call_id: '123' }, + { + role: 'assistant', + content: "it's raining", + parsed: null, + refusal: null, + tool_calls: undefined, + }, + ]); + expect(listener.eventFunctionCallResults).toEqual([`it's raining`]); + await listener.sanityCheck(); + }); + test('flow with abort', async () => { + const { fetch, handleRequest } = mockStreamingChatCompletionFetch(); + + const openai = new OpenAI({ apiKey: 'something1234', baseURL: 'http://127.0.0.1:4010/', fetch }); + + const controller = new AbortController(); + const runner = openai.beta.chat.completions.runTools( + { + stream: true, + messages: [{ role: 'user', content: 'tell me what the weather is like' }], + model: 'gpt-3.5-turbo', + tools: [ + { + type: 'function', + function: { + function: function getWeather() { + return `it's raining`; + }, + parameters: {}, + description: 'gets the weather', + }, + }, + ], + }, + { signal: controller.signal }, + ); + runner.on('functionCallResult', () => controller.abort()); + const listener = new StreamingRunnerListener(runner); + + await handleRequest(async function* (request): AsyncIterable { + expect(request.messages).toEqual([{ role: 'user', content: 'tell me what the weather is like' }]); + yield { + id: '1', + choices: [ + { + index: 0, + finish_reason: 'function_call', + delta: { + role: 'assistant', + content: null, + tool_calls: [ + { + type: 'function', + index: 0, + id: '123', + function: { + arguments: '', + name: 'getWeather', + }, + }, + ], + }, + }, + ], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion.chunk', + }; + }); + + await runner.done().catch(() => {}); + + expect(listener.eventMessages).toEqual([ + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + arguments: '', + name: 'getWeather', + }, + }, + ], + }, + { role: 'tool', content: `it's raining`, tool_call_id: '123' }, + ]); + expect(listener.eventFunctionCallResults).toEqual([`it's raining`]); + await listener.sanityCheck({ error: 'Request was aborted.' }); + expect(runner.aborted).toBe(true); + }); + test('successful flow with parse', async () => { + const { fetch, handleRequest } = mockStreamingChatCompletionFetch(); + + const openai = new OpenAI({ apiKey: 'something1234', baseURL: 'http://127.0.0.1:4010/', fetch }); + + const runner = openai.beta.chat.completions.runTools({ + stream: true, + messages: [ + { + role: 'user', + content: 'can you tell me how many properties are in {"a": 1, "b": 2, "c": 3}', + }, + ], + model: 'gpt-3.5-turbo', + tools: [ + new ParsingToolFunction({ + name: 'numProperties', + function: (obj: object) => String(Object.keys(obj).length), + parameters: { type: 'object' }, + parse: (str: string): object => { + const result = JSON.parse(str); + if (!(result instanceof Object) || Array.isArray(result)) { + throw new Error('must be an object'); + } + return result; + }, + description: 'gets the number of properties on an object', + }), + ], + }); + const listener = new StreamingRunnerListener(runner); + + await Promise.all([ + handleRequest(async function* (request): AsyncIterable { + expect(request.messages).toEqual([ + { + role: 'user', + content: 'can you tell me how many properties are in {"a": 1, "b": 2, "c": 3}', + }, + ]); + yield { + id: '1', + choices: [ + { + index: 0, + finish_reason: 'function_call', + delta: { + role: 'assistant', + content: null, + tool_calls: [ + { + type: 'function', + id: '123', + index: 0, + function: { + arguments: '{"a": 1, "b": 2, "c": 3}', + name: 'numProperties', + }, + }, + ], + }, + }, + ], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion.chunk', + }; + }), + handleRequest(async function* (request): AsyncIterable { + expect(request.messages).toEqual([ + { + role: 'user', + content: 'can you tell me how many properties are in {"a": 1, "b": 2, "c": 3}', + }, + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + arguments: '{"a": 1, "b": 2, "c": 3}', + name: 'numProperties', + }, + }, + ], + }, + { + role: 'tool', + content: '3', + tool_call_id: '123', + }, + ]); + for (const choice of contentChoiceDeltas(`there are 3 properties in {"a": 1, "b": 2, "c": 3}`)) { + yield { + id: '2', + choices: [choice], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion.chunk', + }; + } + }), + runner.done(), + ]); + + expect(listener.eventMessages).toEqual([ + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + name: 'numProperties', + arguments: '{"a": 1, "b": 2, "c": 3}', + }, + }, + ], + }, + { role: 'tool', content: '3', tool_call_id: '123' }, + { + role: 'assistant', + content: 'there are 3 properties in {"a": 1, "b": 2, "c": 3}', + parsed: null, + refusal: null, + tool_calls: undefined, + }, + ]); + expect(listener.eventFunctionCallResults).toEqual(['3']); + await listener.sanityCheck(); + }); + test('flow with parse error', async () => { + const { fetch, handleRequest } = mockStreamingChatCompletionFetch(); + + const openai = new OpenAI({ apiKey: 'something1234', baseURL: 'http://127.0.0.1:4010/', fetch }); + + const runner = openai.beta.chat.completions.runTools({ + stream: true, + messages: [ + { + role: 'user', + content: 'can you tell me how many properties are in {"a": 1, "b": 2, "c": 3}', + }, + ], + model: 'gpt-3.5-turbo', + tools: [ + new ParsingToolFunction({ + name: 'numProperties', + function: (obj: object) => String(Object.keys(obj).length), + parameters: { type: 'object' }, + parse: (str: string): object => { + const result = JSON.parse(str); + if (!(result instanceof Object) || Array.isArray(result)) { + throw new Error('must be an object'); + } + return result; + }, + description: 'gets the number of properties on an object', + }), + ], + }); + const listener = new StreamingRunnerListener(runner); + + await Promise.all([ + handleRequest(async function* (request): AsyncIterable { + expect(request.messages).toEqual([ + { + role: 'user', + content: 'can you tell me how many properties are in {"a": 1, "b": 2, "c": 3}', + }, + ]); + for (const choice of functionCallDeltas('[{"a": 1, "b": 2, "c": 3}]', { + name: 'numProperties', + id: '123', + })) { + yield { + id: '1', + choices: [choice], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion.chunk', + }; + } + }), + handleRequest(async function* (request): AsyncIterable { + expect(request.messages).toEqual([ + { + role: 'user', + content: 'can you tell me how many properties are in {"a": 1, "b": 2, "c": 3}', + }, + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + arguments: '[{"a": 1, "b": 2, "c": 3}]', + name: 'numProperties', + }, + }, + ], + }, + { + role: 'tool', + content: `must be an object`, + tool_call_id: '123', + }, + ]); + for (const choice of functionCallDeltas('{"a": 1, "b": 2, "c": 3}', { + name: 'numProperties', + id: '1234', + })) { + yield { + id: '2', + choices: [choice], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion.chunk', + }; + } + }), + handleRequest(async function* (request): AsyncIterable { + expect(request.messages).toEqual([ + { + role: 'user', + content: 'can you tell me how many properties are in {"a": 1, "b": 2, "c": 3}', + }, + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + arguments: '[{"a": 1, "b": 2, "c": 3}]', + name: 'numProperties', + }, + }, + ], + }, + { + role: 'tool', + content: `must be an object`, + tool_call_id: '123', + }, + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '1234', + function: { + arguments: '{"a": 1, "b": 2, "c": 3}', + name: 'numProperties', + }, + }, + ], + }, + { + role: 'tool', + content: '3', + tool_call_id: '1234', + }, + ]); + for (const choice of contentChoiceDeltas(`there are 3 properties in {"a": 1, "b": 2, "c": 3}`)) { + yield { + id: '3', + choices: [choice], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion.chunk', + }; + } + }), + runner.done(), + ]); + + expect(listener.eventMessages).toEqual([ + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + name: 'numProperties', + arguments: '[{"a": 1, "b": 2, "c": 3}]', + }, + }, + ], + }, + { role: 'tool', content: `must be an object`, tool_call_id: '123' }, + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '1234', + function: { + name: 'numProperties', + arguments: '{"a": 1, "b": 2, "c": 3}', + }, + }, + ], + }, + { role: 'tool', content: '3', tool_call_id: '1234' }, + { + role: 'assistant', + content: 'there are 3 properties in {"a": 1, "b": 2, "c": 3}', + parsed: null, + refusal: null, + tool_calls: undefined, + }, + ]); + expect(listener.eventFunctionCallResults).toEqual([`must be an object`, '3']); + await listener.sanityCheck(); + }); + test('single function call', async () => { + const { fetch, handleRequest } = mockStreamingChatCompletionFetch(); + + const openai = new OpenAI({ apiKey: 'something1234', baseURL: 'http://127.0.0.1:4010/', fetch }); + + const runner = openai.beta.chat.completions.runTools({ + stream: true, + messages: [{ role: 'user', content: 'tell me what the weather is like' }], + model: 'gpt-3.5-turbo', + tool_choice: { + type: 'function', + function: { + name: 'getWeather', + }, + }, + tools: [ + { + type: 'function', + function: { + function: function getWeather() { + return `it's raining`; + }, + parameters: {}, + description: 'gets the weather', + }, + }, + ], + }); + const listener = new StreamingRunnerListener(runner); + + await Promise.all([ + handleRequest(async function* (request): AsyncIterable { + expect(request.messages).toEqual([{ role: 'user', content: 'tell me what the weather is like' }]); + yield { + id: '1', + choices: [ + { + index: 0, + finish_reason: 'function_call', + delta: { + role: 'assistant', + content: null, + tool_calls: [ + { + type: 'function', + index: 0, + id: '123', + function: { + arguments: '', + name: 'getWeather', + }, + }, + ], + }, + }, + ], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion.chunk', + }; + }), + runner.done(), + ]); + + expect(listener.eventMessages).toEqual([ + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + arguments: '', + name: 'getWeather', + }, + }, + ], + }, + { role: 'tool', tool_call_id: '123', content: `it's raining` }, + ]); + expect(listener.eventFunctionCallResults).toEqual([`it's raining`]); + await listener.sanityCheck(); + }); + test('wrong function name', async () => { + const { fetch, handleRequest } = mockStreamingChatCompletionFetch(); + + const openai = new OpenAI({ apiKey: 'something1234', baseURL: 'http://127.0.0.1:4010/', fetch }); + + const runner = openai.beta.chat.completions.runTools({ + stream: true, + messages: [{ role: 'user', content: 'tell me what the weather is like' }], + model: 'gpt-3.5-turbo', + tools: [ + { + type: 'function', + function: { + function: function getWeather() { + return `it's raining`; + }, + parameters: {}, + description: 'gets the weather', + }, + }, + ], + }); + const listener = new StreamingRunnerListener(runner); + + await Promise.all([ + handleRequest(async function* (request): AsyncIterable { + expect(request.messages).toEqual([{ role: 'user', content: 'tell me what the weather is like' }]); + yield { + id: '1', + choices: [ + { + index: 0, + finish_reason: 'function_call', + delta: { + role: 'assistant', + content: null, + tool_calls: [ + { + type: 'function', + index: 0, + id: '123', + function: { + arguments: '', + name: 'get_weather', + }, + }, + ], + }, + }, + ], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion.chunk', + }; + }), + handleRequest(async function* (request): AsyncIterable { + expect(request.messages).toEqual([ + { role: 'user', content: 'tell me what the weather is like' }, + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + arguments: '', + name: 'get_weather', + }, + }, + ], + }, + { + role: 'tool', + content: `Invalid tool_call: "get_weather". Available options are: "getWeather". Please try again`, + tool_call_id: '123', + }, + ]); + yield { + id: '2', + choices: [ + { + index: 0, + finish_reason: 'function_call', + logprobs: null, + delta: { + role: 'assistant', + content: null, + tool_calls: [ + { + type: 'function', + index: 0, + id: '1234', + function: { + arguments: '', + name: 'getWeather', + }, + }, + ], + }, + }, + ], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion.chunk', + }; + }), + handleRequest(async function* (request): AsyncIterable { + expect(request.messages).toEqual([ + { role: 'user', content: 'tell me what the weather is like' }, + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + arguments: '', + name: 'get_weather', + }, + }, + ], + }, + { + role: 'tool', + content: `Invalid tool_call: "get_weather". Available options are: "getWeather". Please try again`, + tool_call_id: '123', + }, + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '1234', + function: { + arguments: '', + name: 'getWeather', + }, + }, + ], + }, + { + role: 'tool', + content: `it's raining`, + tool_call_id: '1234', + }, + ]); + for (const choice of contentChoiceDeltas(`it's raining`)) { + yield { + id: '3', + choices: [choice], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion.chunk', + }; + } + }), + runner.done(), + ]); + + expect(listener.eventMessages).toEqual([ + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '123', + function: { + arguments: '', + name: 'get_weather', + }, + }, + ], + }, + { + role: 'tool', + content: `Invalid tool_call: "get_weather". Available options are: "getWeather". Please try again`, + tool_call_id: '123', + }, + { + role: 'assistant', + content: null, + parsed: null, + refusal: null, + tool_calls: [ + { + type: 'function', + id: '1234', + function: { + arguments: '', + name: 'getWeather', + }, + }, + ], + }, + { role: 'tool', content: `it's raining`, tool_call_id: '1234' }, + { + role: 'assistant', + content: "it's raining", + parsed: null, + refusal: null, + tool_calls: undefined, + }, + ]); + expect(listener.eventFunctionCallResults).toEqual([ + `Invalid tool_call: "get_weather". Available options are: "getWeather". Please try again`, + `it's raining`, + ]); + await listener.sanityCheck(); + }); + }); + + describe('stream', () => { + test('successful flow', async () => { + const { fetch, handleRequest } = mockStreamingChatCompletionFetch(); + + const openai = new OpenAI({ apiKey: 'something1234', baseURL: 'http://127.0.0.1:4010/', fetch }); + + const runner = openai.beta.chat.completions.stream({ + stream: true, + messages: [{ role: 'user', content: 'tell me what the weather is like' }], + model: 'gpt-3.5-turbo', + }); + + const listener = new StreamingRunnerListener(runner); + + await Promise.all([ + handleRequest(async function* (request): AsyncIterable { + expect(request.messages).toEqual([{ role: 'user', content: 'tell me what the weather is like' }]); + for (const choice of contentChoiceDeltas(`The weather is great today!`)) { + yield { + id: '1', + choices: [choice], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion.chunk', + }; + } + }), + runner.done(), + ]); + + expect(listener.finalMessage).toEqual({ + role: 'assistant', + content: 'The weather is great today!', + parsed: null, + refusal: null, + tool_calls: undefined, + }); + await listener.sanityCheck(); + }); + test('toReadableStream and fromReadableStream', async () => { + const { fetch, handleRequest } = mockStreamingChatCompletionFetch(); + + const openai = new OpenAI({ apiKey: 'something1234', baseURL: 'http://127.0.0.1:4010/', fetch }); + + const runner = openai.beta.chat.completions.stream({ + stream: true, + messages: [{ role: 'user', content: 'tell me what the weather is like' }], + model: 'gpt-3.5-turbo', + }); + + const proxied = ChatCompletionStreamingRunner.fromReadableStream(runner.toReadableStream()); + const listener = new StreamingRunnerListener(proxied); + + await Promise.all([ + handleRequest(async function* (request): AsyncIterable { + expect(request.messages).toEqual([{ role: 'user', content: 'tell me what the weather is like' }]); + for (const choice of contentChoiceDeltas(`The weather is great today!`)) { + yield { + id: '1', + choices: [choice], + created: Math.floor(Date.now() / 1000), + model: 'gpt-3.5-turbo', + object: 'chat.completion.chunk', + }; + } + }), + proxied.done(), + ]); + + expect(listener.finalMessage).toEqual({ + role: 'assistant', + content: 'The weather is great today!', + parsed: null, + refusal: null, + tool_calls: undefined, + }); + await listener.sanityCheck(); + }); + test('handles network errors', async () => { + const { fetch, handleRequest } = mockFetch(); + + const openai = new OpenAI({ apiKey: '...', fetch }); + + const stream = openai.beta.chat.completions.stream( + { + max_tokens: 1024, + model: 'gpt-3.5-turbo', + messages: [{ role: 'user', content: 'Say hello there!' }], + }, + { maxRetries: 0 }, + ); + + handleRequest(async () => { + throw new Error('mock request error'); + }).catch(() => {}); + + async function runStream() { + await stream.done(); + } + + await expect(runStream).rejects.toThrow(APIConnectionError); + }); + test('handles network errors on async iterator', async () => { + const { fetch, handleRequest } = mockFetch(); + + const openai = new OpenAI({ apiKey: '...', fetch }); + + const stream = openai.beta.chat.completions.stream( + { + max_tokens: 1024, + model: 'gpt-3.5-turbo', + messages: [{ role: 'user', content: 'Say hello there!' }], + }, + { maxRetries: 0 }, + ); + + handleRequest(async () => { + throw new Error('mock request error'); + }).catch(() => {}); + + async function runStream() { + for await (const _event of stream) { + continue; + } + } + + await expect(runStream).rejects.toThrow(APIConnectionError); + }); + }); +}); diff --git a/tests/lib/ChatCompletionStream.test.ts b/tests/lib/ChatCompletionStream.test.ts new file mode 100644 index 000000000..34c5fd204 --- /dev/null +++ b/tests/lib/ChatCompletionStream.test.ts @@ -0,0 +1,392 @@ +import { zodResponseFormat } from 'openai/helpers/zod'; +import { ChatCompletionTokenLogprob } from 'openai/resources'; +import { z } from 'zod'; +import { makeStreamSnapshotRequest } from '../utils/mock-snapshots'; + +jest.setTimeout(1000 * 30); + +describe('.stream()', () => { + it('works', async () => { + const stream = await makeStreamSnapshotRequest((openai) => + openai.beta.chat.completions.stream({ + model: 'gpt-4o-2024-08-06', + messages: [ + { + role: 'user', + content: "What's the weather like in SF?", + }, + ], + response_format: zodResponseFormat( + z.object({ + city: z.string(), + units: z.enum(['c', 'f']).default('f'), + }), + 'location', + ), + }), + ); + + expect((await stream.finalChatCompletion()).choices[0]).toMatchInlineSnapshot(` + { + "finish_reason": "stop", + "index": 0, + "logprobs": null, + "message": { + "content": "{"city":"San Francisco","units":"c"}", + "parsed": { + "city": "San Francisco", + "units": "c", + }, + "refusal": null, + "role": "assistant", + }, + } + `); + }); + + it('emits content logprobs events', async () => { + var capturedLogProbs: ChatCompletionTokenLogprob[] | undefined; + + const stream = ( + await makeStreamSnapshotRequest((openai) => + openai.beta.chat.completions.stream({ + model: 'gpt-4o-2024-08-06', + messages: [ + { + role: 'user', + content: "What's the weather like in SF?", + }, + ], + logprobs: true, + response_format: zodResponseFormat( + z.object({ + city: z.string(), + units: z.enum(['c', 'f']).default('f'), + }), + 'location', + ), + }), + ) + ).on('logprobs.content.done', (props) => { + if (!capturedLogProbs?.length) { + capturedLogProbs = props.content; + } + }); + + const choice = (await stream.finalChatCompletion()).choices[0]; + expect(choice).toMatchInlineSnapshot(` + { + "finish_reason": "stop", + "index": 0, + "logprobs": { + "content": [ + { + "bytes": [ + 123, + 34, + ], + "logprob": -0.0036115935, + "token": "{"", + "top_logprobs": [], + }, + { + "bytes": [ + 99, + 105, + 116, + 121, + ], + "logprob": -0.000008418666, + "token": "city", + "top_logprobs": [], + }, + { + "bytes": [ + 34, + 58, + 34, + ], + "logprob": -0.00034666734, + "token": "":"", + "top_logprobs": [], + }, + { + "bytes": [ + 83, + 97, + 110, + ], + "logprob": -0.013863761, + "token": "San", + "top_logprobs": [], + }, + { + "bytes": [ + 32, + 70, + 114, + 97, + 110, + 99, + 105, + 115, + 99, + 111, + ], + "logprob": -0.00003190179, + "token": " Francisco", + "top_logprobs": [], + }, + { + "bytes": [ + 34, + 44, + 34, + ], + "logprob": -0.03384693, + "token": "","", + "top_logprobs": [], + }, + { + "bytes": [ + 117, + 110, + 105, + 116, + 115, + ], + "logprob": -0.0000012664457, + "token": "units", + "top_logprobs": [], + }, + { + "bytes": [ + 34, + 58, + 34, + ], + "logprob": -0.000031305768, + "token": "":"", + "top_logprobs": [], + }, + { + "bytes": [ + 102, + ], + "logprob": -0.5759394, + "token": "f", + "top_logprobs": [], + }, + { + "bytes": [ + 34, + 125, + ], + "logprob": -0.0000420341, + "token": ""}", + "top_logprobs": [], + }, + ], + "refusal": null, + }, + "message": { + "content": "{"city":"San Francisco","units":"f"}", + "parsed": { + "city": "San Francisco", + "units": "f", + }, + "refusal": null, + "role": "assistant", + }, + } + `); + expect(capturedLogProbs?.length).toEqual(choice?.logprobs?.content?.length); + }); + + it('emits refusal logprobs events', async () => { + var capturedLogProbs: ChatCompletionTokenLogprob[] | undefined; + + const stream = ( + await makeStreamSnapshotRequest((openai) => + openai.beta.chat.completions.stream({ + model: 'gpt-4o-2024-08-06', + messages: [ + { + role: 'user', + content: 'how do I make anthrax?', + }, + ], + logprobs: true, + response_format: zodResponseFormat( + z.object({ + city: z.string(), + units: z.enum(['c', 'f']).default('f'), + }), + 'location', + ), + }), + ) + ).on('logprobs.refusal.done', (props) => { + if (!capturedLogProbs?.length) { + capturedLogProbs = props.refusal; + } + }); + + const choice = (await stream.finalChatCompletion()).choices[0]; + expect(choice).toMatchInlineSnapshot(` + { + "finish_reason": "stop", + "index": 0, + "logprobs": { + "content": null, + "refusal": [ + { + "bytes": [ + 73, + 39, + 109, + ], + "logprob": -0.0020705638, + "token": "I'm", + "top_logprobs": [], + }, + { + "bytes": [ + 32, + 118, + 101, + 114, + 121, + ], + "logprob": -0.60976714, + "token": " very", + "top_logprobs": [], + }, + { + "bytes": [ + 32, + 115, + 111, + 114, + 114, + 121, + ], + "logprob": -0.000008180258, + "token": " sorry", + "top_logprobs": [], + }, + { + "bytes": [ + 44, + ], + "logprob": -0.000040603656, + "token": ",", + "top_logprobs": [], + }, + { + "bytes": [ + 32, + 98, + 117, + 116, + ], + "logprob": -0.048603047, + "token": " but", + "top_logprobs": [], + }, + { + "bytes": [ + 32, + 73, + ], + "logprob": -0.003929745, + "token": " I", + "top_logprobs": [], + }, + { + "bytes": [ + 32, + 99, + 97, + 110, + 39, + 116, + ], + "logprob": -0.012669391, + "token": " can't", + "top_logprobs": [], + }, + { + "bytes": [ + 32, + 97, + 115, + 115, + 105, + 115, + 116, + ], + "logprob": -0.0036209812, + "token": " assist", + "top_logprobs": [], + }, + { + "bytes": [ + 32, + 119, + 105, + 116, + 104, + ], + "logprob": -0.0052407524, + "token": " with", + "top_logprobs": [], + }, + { + "bytes": [ + 32, + 116, + 104, + 97, + 116, + ], + "logprob": -0.0029618926, + "token": " that", + "top_logprobs": [], + }, + { + "bytes": [ + 32, + 114, + 101, + 113, + 117, + 101, + 115, + 116, + ], + "logprob": -1.7024335, + "token": " request", + "top_logprobs": [], + }, + { + "bytes": [ + 46, + ], + "logprob": -0.0000026968896, + "token": ".", + "top_logprobs": [], + }, + ], + }, + "message": { + "content": null, + "parsed": null, + "refusal": "I'm very sorry, but I can't assist with that request.", + "role": "assistant", + }, + } + `); + expect(capturedLogProbs?.length).toEqual(choice?.logprobs?.refusal?.length); + }); +}); diff --git a/tests/lib/__snapshots__/ChatCompletionStream.test.ts.snap b/tests/lib/__snapshots__/ChatCompletionStream.test.ts.snap new file mode 100644 index 000000000..65740382e --- /dev/null +++ b/tests/lib/__snapshots__/ChatCompletionStream.test.ts.snap @@ -0,0 +1,101 @@ +// Jest Snapshot v1, https://goo.gl/fbAQLP + +exports[`.stream() emits content logprobs events 1`] = ` +"data: {"id":"chatcmpl-9tZXFsqeQOozn5YU8I6SbjkmDnN76","object":"chat.completion.chunk","created":1723031665,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[{"index":0,"delta":{"role":"assistant","content":"","refusal":null},"logprobs":{"content":[],"refusal":null},"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXFsqeQOozn5YU8I6SbjkmDnN76","object":"chat.completion.chunk","created":1723031665,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[{"index":0,"delta":{"content":"{\\""},"logprobs":{"content":[{"token":"{\\"","logprob":-0.0036115935,"bytes":[123,34],"top_logprobs":[]}],"refusal":null},"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXFsqeQOozn5YU8I6SbjkmDnN76","object":"chat.completion.chunk","created":1723031665,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[{"index":0,"delta":{"content":"city"},"logprobs":{"content":[{"token":"city","logprob":-8.418666e-6,"bytes":[99,105,116,121],"top_logprobs":[]}],"refusal":null},"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXFsqeQOozn5YU8I6SbjkmDnN76","object":"chat.completion.chunk","created":1723031665,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[{"index":0,"delta":{"content":"\\":\\""},"logprobs":{"content":[{"token":"\\":\\"","logprob":-0.00034666734,"bytes":[34,58,34],"top_logprobs":[]}],"refusal":null},"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXFsqeQOozn5YU8I6SbjkmDnN76","object":"chat.completion.chunk","created":1723031665,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[{"index":0,"delta":{"content":"San"},"logprobs":{"content":[{"token":"San","logprob":-0.013863761,"bytes":[83,97,110],"top_logprobs":[]}],"refusal":null},"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXFsqeQOozn5YU8I6SbjkmDnN76","object":"chat.completion.chunk","created":1723031665,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[{"index":0,"delta":{"content":" Francisco"},"logprobs":{"content":[{"token":" Francisco","logprob":-0.00003190179,"bytes":[32,70,114,97,110,99,105,115,99,111],"top_logprobs":[]}],"refusal":null},"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXFsqeQOozn5YU8I6SbjkmDnN76","object":"chat.completion.chunk","created":1723031665,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[{"index":0,"delta":{"content":"\\",\\""},"logprobs":{"content":[{"token":"\\",\\"","logprob":-0.03384693,"bytes":[34,44,34],"top_logprobs":[]}],"refusal":null},"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXFsqeQOozn5YU8I6SbjkmDnN76","object":"chat.completion.chunk","created":1723031665,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[{"index":0,"delta":{"content":"units"},"logprobs":{"content":[{"token":"units","logprob":-1.2664457e-6,"bytes":[117,110,105,116,115],"top_logprobs":[]}],"refusal":null},"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXFsqeQOozn5YU8I6SbjkmDnN76","object":"chat.completion.chunk","created":1723031665,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[{"index":0,"delta":{"content":"\\":\\""},"logprobs":{"content":[{"token":"\\":\\"","logprob":-0.000031305768,"bytes":[34,58,34],"top_logprobs":[]}],"refusal":null},"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXFsqeQOozn5YU8I6SbjkmDnN76","object":"chat.completion.chunk","created":1723031665,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[{"index":0,"delta":{"content":"f"},"logprobs":{"content":[{"token":"f","logprob":-0.5759394,"bytes":[102],"top_logprobs":[]}],"refusal":null},"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXFsqeQOozn5YU8I6SbjkmDnN76","object":"chat.completion.chunk","created":1723031665,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[{"index":0,"delta":{"content":"\\"}"},"logprobs":{"content":[{"token":"\\"}","logprob":-0.0000420341,"bytes":[34,125],"top_logprobs":[]}],"refusal":null},"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXFsqeQOozn5YU8I6SbjkmDnN76","object":"chat.completion.chunk","created":1723031665,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"stop"}]} + +data: {"id":"chatcmpl-9tZXFsqeQOozn5YU8I6SbjkmDnN76","object":"chat.completion.chunk","created":1723031665,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[],"usage":{"prompt_tokens":17,"completion_tokens":10,"total_tokens":27}} + +data: [DONE] + +" +`; + +exports[`.stream() emits refusal logprobs events 1`] = ` +"data: {"id":"chatcmpl-9tZXGacdbmJYO8K50haE4OauaJmPn","object":"chat.completion.chunk","created":1723031666,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_2a322c9ffc","choices":[{"index":0,"delta":{"role":"assistant","content":null,"refusal":""},"logprobs":{"content":null,"refusal":[]},"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXGacdbmJYO8K50haE4OauaJmPn","object":"chat.completion.chunk","created":1723031666,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_2a322c9ffc","choices":[{"index":0,"delta":{"refusal":"I'm"},"logprobs":{"content":null,"refusal":[{"token":"I'm","logprob":-0.0020705638,"bytes":[73,39,109],"top_logprobs":[]}]},"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXGacdbmJYO8K50haE4OauaJmPn","object":"chat.completion.chunk","created":1723031666,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_2a322c9ffc","choices":[{"index":0,"delta":{"refusal":" very"},"logprobs":{"content":null,"refusal":[{"token":" very","logprob":-0.60976714,"bytes":[32,118,101,114,121],"top_logprobs":[]}]},"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXGacdbmJYO8K50haE4OauaJmPn","object":"chat.completion.chunk","created":1723031666,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_2a322c9ffc","choices":[{"index":0,"delta":{"refusal":" sorry"},"logprobs":{"content":null,"refusal":[{"token":" sorry","logprob":-8.180258e-6,"bytes":[32,115,111,114,114,121],"top_logprobs":[]}]},"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXGacdbmJYO8K50haE4OauaJmPn","object":"chat.completion.chunk","created":1723031666,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_2a322c9ffc","choices":[{"index":0,"delta":{"refusal":","},"logprobs":{"content":null,"refusal":[{"token":",","logprob":-0.000040603656,"bytes":[44],"top_logprobs":[]}]},"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXGacdbmJYO8K50haE4OauaJmPn","object":"chat.completion.chunk","created":1723031666,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_2a322c9ffc","choices":[{"index":0,"delta":{"refusal":" but"},"logprobs":{"content":null,"refusal":[{"token":" but","logprob":-0.048603047,"bytes":[32,98,117,116],"top_logprobs":[]}]},"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXGacdbmJYO8K50haE4OauaJmPn","object":"chat.completion.chunk","created":1723031666,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_2a322c9ffc","choices":[{"index":0,"delta":{"refusal":" I"},"logprobs":{"content":null,"refusal":[{"token":" I","logprob":-0.003929745,"bytes":[32,73],"top_logprobs":[]}]},"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXGacdbmJYO8K50haE4OauaJmPn","object":"chat.completion.chunk","created":1723031666,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_2a322c9ffc","choices":[{"index":0,"delta":{"refusal":" can't"},"logprobs":{"content":null,"refusal":[{"token":" can't","logprob":-0.012669391,"bytes":[32,99,97,110,39,116],"top_logprobs":[]}]},"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXGacdbmJYO8K50haE4OauaJmPn","object":"chat.completion.chunk","created":1723031666,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_2a322c9ffc","choices":[{"index":0,"delta":{"refusal":" assist"},"logprobs":{"content":null,"refusal":[{"token":" assist","logprob":-0.0036209812,"bytes":[32,97,115,115,105,115,116],"top_logprobs":[]}]},"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXGacdbmJYO8K50haE4OauaJmPn","object":"chat.completion.chunk","created":1723031666,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_2a322c9ffc","choices":[{"index":0,"delta":{"refusal":" with"},"logprobs":{"content":null,"refusal":[{"token":" with","logprob":-0.0052407524,"bytes":[32,119,105,116,104],"top_logprobs":[]}]},"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXGacdbmJYO8K50haE4OauaJmPn","object":"chat.completion.chunk","created":1723031666,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_2a322c9ffc","choices":[{"index":0,"delta":{"refusal":" that"},"logprobs":{"content":null,"refusal":[{"token":" that","logprob":-0.0029618926,"bytes":[32,116,104,97,116],"top_logprobs":[]}]},"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXGacdbmJYO8K50haE4OauaJmPn","object":"chat.completion.chunk","created":1723031666,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_2a322c9ffc","choices":[{"index":0,"delta":{"refusal":" request"},"logprobs":{"content":null,"refusal":[{"token":" request","logprob":-1.7024335,"bytes":[32,114,101,113,117,101,115,116],"top_logprobs":[]}]},"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXGacdbmJYO8K50haE4OauaJmPn","object":"chat.completion.chunk","created":1723031666,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_2a322c9ffc","choices":[{"index":0,"delta":{"refusal":"."},"logprobs":{"content":null,"refusal":[{"token":".","logprob":-2.6968896e-6,"bytes":[46],"top_logprobs":[]}]},"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXGacdbmJYO8K50haE4OauaJmPn","object":"chat.completion.chunk","created":1723031666,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_2a322c9ffc","choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"stop"}]} + +data: {"id":"chatcmpl-9tZXGacdbmJYO8K50haE4OauaJmPn","object":"chat.completion.chunk","created":1723031666,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_2a322c9ffc","choices":[],"usage":{"prompt_tokens":17,"completion_tokens":13,"total_tokens":30}} + +data: [DONE] + +" +`; + +exports[`.stream() works 1`] = ` +"data: {"id":"chatcmpl-9tZXEmwtoDf6vqCqEWSvDP8jx9OXe","object":"chat.completion.chunk","created":1723031664,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[{"index":0,"delta":{"role":"assistant","content":"","refusal":null},"logprobs":null,"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXEmwtoDf6vqCqEWSvDP8jx9OXe","object":"chat.completion.chunk","created":1723031664,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[{"index":0,"delta":{"content":"{\\""},"logprobs":null,"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXEmwtoDf6vqCqEWSvDP8jx9OXe","object":"chat.completion.chunk","created":1723031664,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[{"index":0,"delta":{"content":"city"},"logprobs":null,"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXEmwtoDf6vqCqEWSvDP8jx9OXe","object":"chat.completion.chunk","created":1723031664,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[{"index":0,"delta":{"content":"\\":\\""},"logprobs":null,"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXEmwtoDf6vqCqEWSvDP8jx9OXe","object":"chat.completion.chunk","created":1723031664,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[{"index":0,"delta":{"content":"San"},"logprobs":null,"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXEmwtoDf6vqCqEWSvDP8jx9OXe","object":"chat.completion.chunk","created":1723031664,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[{"index":0,"delta":{"content":" Francisco"},"logprobs":null,"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXEmwtoDf6vqCqEWSvDP8jx9OXe","object":"chat.completion.chunk","created":1723031664,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[{"index":0,"delta":{"content":"\\",\\""},"logprobs":null,"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXEmwtoDf6vqCqEWSvDP8jx9OXe","object":"chat.completion.chunk","created":1723031664,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[{"index":0,"delta":{"content":"units"},"logprobs":null,"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXEmwtoDf6vqCqEWSvDP8jx9OXe","object":"chat.completion.chunk","created":1723031664,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[{"index":0,"delta":{"content":"\\":\\""},"logprobs":null,"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXEmwtoDf6vqCqEWSvDP8jx9OXe","object":"chat.completion.chunk","created":1723031664,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[{"index":0,"delta":{"content":"c"},"logprobs":null,"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXEmwtoDf6vqCqEWSvDP8jx9OXe","object":"chat.completion.chunk","created":1723031664,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[{"index":0,"delta":{"content":"\\"}"},"logprobs":null,"finish_reason":null}]} + +data: {"id":"chatcmpl-9tZXEmwtoDf6vqCqEWSvDP8jx9OXe","object":"chat.completion.chunk","created":1723031664,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"stop"}]} + +data: {"id":"chatcmpl-9tZXEmwtoDf6vqCqEWSvDP8jx9OXe","object":"chat.completion.chunk","created":1723031664,"model":"gpt-4o-2024-08-06","system_fingerprint":"fp_845eaabc1f","choices":[],"usage":{"prompt_tokens":17,"completion_tokens":10,"total_tokens":27}} + +data: [DONE] + +" +`; diff --git a/tests/lib/__snapshots__/parser.test.ts.snap b/tests/lib/__snapshots__/parser.test.ts.snap new file mode 100644 index 000000000..11d68ab4e --- /dev/null +++ b/tests/lib/__snapshots__/parser.test.ts.snap @@ -0,0 +1,172 @@ +// Jest Snapshot v1, https://goo.gl/fbAQLP + +exports[`.parse() zod deserialises response_format 1`] = ` +"{ + "id": "chatcmpl-9uLhvwLPvKOZoJ7hwaa666fYuxYif", + "object": "chat.completion", + "created": 1723216839, + "model": "gpt-4o-2024-08-06", + "choices": [ + { + "index": 0, + "message": { + "role": "assistant", + "content": "{\\"city\\":\\"San Francisco\\",\\"units\\":\\"c\\"}", + "refusal": null + }, + "logprobs": null, + "finish_reason": "stop" + } + ], + "usage": { + "prompt_tokens": 17, + "completion_tokens": 10, + "total_tokens": 27 + }, + "system_fingerprint": "fp_2a322c9ffc" +} +" +`; + +exports[`.parse() zod merged schemas 2`] = ` +"{ + "id": "chatcmpl-9uLi0HJ6HYH0FM1VI1N6XCREiGvX1", + "object": "chat.completion", + "created": 1723216844, + "model": "gpt-4o-2024-08-06", + "choices": [ + { + "index": 0, + "message": { + "role": "assistant", + "content": "{\\"person1\\":{\\"name\\":\\"Jane Doe\\",\\"phone_number\\":\\".\\",\\"roles\\":[\\"other\\"],\\"description\\":\\"Engineer at OpenAI, born Nov 16, contact email: jane@openai.com\\"},\\"person2\\":{\\"name\\":\\"John Smith\\",\\"phone_number\\":\\"john@openai.com\\",\\"differentField\\":\\"Engineer at OpenAI, born March 1.\\"}}", + "refusal": null + }, + "logprobs": null, + "finish_reason": "stop" + } + ], + "usage": { + "prompt_tokens": 61, + "completion_tokens": 72, + "total_tokens": 133 + }, + "system_fingerprint": "fp_2a322c9ffc" +} +" +`; + +exports[`.parse() zod nested schema extraction 2`] = ` +"{ + "id": "chatcmpl-9uLi6hkH6VcoaYiNEzy3h56QRAyns", + "object": "chat.completion", + "created": 1723216850, + "model": "gpt-4o-2024-08-06", + "choices": [ + { + "index": 0, + "message": { + "role": "assistant", + "content": "{\\"name\\":\\"TodoApp\\",\\"fields\\":[{\\"type\\":\\"string\\",\\"name\\":\\"taskId\\",\\"metadata\\":{\\"foo\\":\\"unique identifier for each task\\"}},{\\"type\\":\\"string\\",\\"name\\":\\"title\\",\\"metadata\\":{\\"foo\\":\\"title of the task\\"}},{\\"type\\":\\"string\\",\\"name\\":\\"description\\",\\"metadata\\":{\\"foo\\":\\"detailed description of the task. This is optional.\\"}},{\\"type\\":\\"string\\",\\"name\\":\\"status\\",\\"metadata\\":{\\"foo\\":\\"status of the task, e.g., pending, completed, etc.\\"}},{\\"type\\":\\"string\\",\\"name\\":\\"dueDate\\",\\"metadata\\":null},{\\"type\\":\\"string\\",\\"name\\":\\"priority\\",\\"metadata\\":{\\"foo\\":\\"priority level of the task, e.g., low, medium, high\\"}},{\\"type\\":\\"string\\",\\"name\\":\\"creationDate\\",\\"metadata\\":{\\"foo\\":\\"date when the task was created\\"}},{\\"type\\":\\"string\\",\\"name\\":\\"lastModifiedDate\\",\\"metadata\\":{\\"foo\\":\\"date when the task was last modified\\"}},{\\"type\\":\\"string\\",\\"name\\":\\"tags\\",\\"metadata\\":{\\"foo\\":\\"tags associated with the task, for categorization\\"}}]}", + "refusal": null + }, + "logprobs": null, + "finish_reason": "stop" + } + ], + "usage": { + "prompt_tokens": 36, + "completion_tokens": 208, + "total_tokens": 244 + }, + "system_fingerprint": "fp_2a322c9ffc" +} +" +`; + +exports[`.parse() zod recursive schema extraction 2`] = ` +"{ + "id": "chatcmpl-9vdbw9dekyUSEsSKVQDhTxA2RCxcK", + "object": "chat.completion", + "created": 1723523988, + "model": "gpt-4o-2024-08-06", + "choices": [ + { + "index": 0, + "message": { + "role": "assistant", + "content": "{\\"linked_list\\":{\\"value\\":1,\\"next\\":{\\"value\\":2,\\"next\\":{\\"value\\":3,\\"next\\":{\\"value\\":4,\\"next\\":{\\"value\\":5,\\"next\\":null}}}}}}", + "refusal": null + }, + "logprobs": null, + "finish_reason": "stop" + } + ], + "usage": { + "prompt_tokens": 40, + "completion_tokens": 38, + "total_tokens": 78 + }, + "system_fingerprint": "fp_2a322c9ffc" +} +" +`; + +exports[`.parse() zod ref schemas with \`.transform()\` 2`] = ` +"{ + "id": "chatcmpl-A6zyLEtubMlUvGplOmr92S0mK0kiG", + "object": "chat.completion", + "created": 1726231553, + "model": "gpt-4o-2024-08-06", + "choices": [ + { + "index": 0, + "message": { + "role": "assistant", + "content": "{\\"first\\":{\\"baz\\":true},\\"second\\":{\\"baz\\":false}}", + "refusal": null + }, + "logprobs": null, + "finish_reason": "stop" + } + ], + "usage": { + "prompt_tokens": 167, + "completion_tokens": 13, + "total_tokens": 180, + "completion_tokens_details": { + "reasoning_tokens": 0 + } + }, + "system_fingerprint": "fp_143bb8492c" +} +" +`; + +exports[`.parse() zod top-level recursive schemas 1`] = ` +"{ + "id": "chatcmpl-9uLhw79ArBF4KsQQOlsoE68m6vh6v", + "object": "chat.completion", + "created": 1723216840, + "model": "gpt-4o-2024-08-06", + "choices": [ + { + "index": 0, + "message": { + "role": "assistant", + "content": "{\\"type\\":\\"form\\",\\"label\\":\\"User Profile Form\\",\\"children\\":[{\\"type\\":\\"field\\",\\"label\\":\\"First Name\\",\\"children\\":[],\\"attributes\\":[{\\"name\\":\\"type\\",\\"value\\":\\"text\\"},{\\"name\\":\\"name\\",\\"value\\":\\"firstName\\"},{\\"name\\":\\"placeholder\\",\\"value\\":\\"Enter your first name\\"}]},{\\"type\\":\\"field\\",\\"label\\":\\"Last Name\\",\\"children\\":[],\\"attributes\\":[{\\"name\\":\\"type\\",\\"value\\":\\"text\\"},{\\"name\\":\\"name\\",\\"value\\":\\"lastName\\"},{\\"name\\":\\"placeholder\\",\\"value\\":\\"Enter your last name\\"}]},{\\"type\\":\\"field\\",\\"label\\":\\"Email Address\\",\\"children\\":[],\\"attributes\\":[{\\"name\\":\\"type\\",\\"value\\":\\"email\\"},{\\"name\\":\\"name\\",\\"value\\":\\"email\\"},{\\"name\\":\\"placeholder\\",\\"value\\":\\"Enter your email address\\"}]},{\\"type\\":\\"button\\",\\"label\\":\\"Submit\\",\\"children\\":[],\\"attributes\\":[{\\"name\\":\\"type\\",\\"value\\":\\"submit\\"}]}],\\"attributes\\":[]}", + "refusal": null + }, + "logprobs": null, + "finish_reason": "stop" + } + ], + "usage": { + "prompt_tokens": 38, + "completion_tokens": 175, + "total_tokens": 213 + }, + "system_fingerprint": "fp_845eaabc1f" +} +" +`; diff --git a/tests/lib/azure.test.ts b/tests/lib/azure.test.ts new file mode 100644 index 000000000..430efbe57 --- /dev/null +++ b/tests/lib/azure.test.ts @@ -0,0 +1,689 @@ +import { AzureOpenAI } from 'openai'; +import { APIUserAbortError } from 'openai'; +import { Headers } from 'openai/core'; +import defaultFetch, { Response, type RequestInit, type RequestInfo } from 'node-fetch'; + +const apiVersion = '2024-02-15-preview'; +const deployment = 'deployment'; +const model = 'unused model'; + +describe('instantiate azure client', () => { + const env = process.env; + + beforeEach(() => { + jest.resetModules(); + process.env = { ...env }; + + console.warn = jest.fn(); + }); + + afterEach(() => { + process.env = env; + }); + + describe('defaultHeaders', () => { + const client = new AzureOpenAI({ + baseURL: 'http://localhost:5000/', + defaultHeaders: { 'X-My-Default-Header': '2' }, + apiKey: 'My API Key', + apiVersion, + }); + + test('they are used in the request', () => { + const { req } = client.buildRequest({ path: '/foo', method: 'post' }); + expect((req.headers as Headers)['x-my-default-header']).toEqual('2'); + }); + + test('can ignore `undefined` and leave the default', () => { + const { req } = client.buildRequest({ + path: '/foo', + method: 'post', + headers: { 'X-My-Default-Header': undefined }, + }); + expect((req.headers as Headers)['x-my-default-header']).toEqual('2'); + }); + + test('can be removed with `null`', () => { + const { req } = client.buildRequest({ + path: '/foo', + method: 'post', + headers: { 'X-My-Default-Header': null }, + }); + expect(req.headers as Headers).not.toHaveProperty('x-my-default-header'); + }); + + test('includes retry count', () => { + const { req } = client.buildRequest( + { + path: '/foo', + method: 'post', + headers: { 'X-My-Default-Header': null }, + }, + { retryCount: 1 }, + ); + expect((req.headers as Headers)['x-stainless-retry-count']).toEqual('1'); + }); + }); + + describe('defaultQuery', () => { + test('with null query params given', () => { + const client = new AzureOpenAI({ + baseURL: 'http://localhost:5000/', + defaultQuery: { apiVersion: 'foo' }, + apiKey: 'My API Key', + apiVersion, + }); + expect(client.buildURL('/foo', null)).toEqual( + `http://localhost:5000/foo?apiVersion=foo&api-version=${apiVersion}`, + ); + }); + + test('multiple default query params', () => { + const client = new AzureOpenAI({ + baseURL: 'http://localhost:5000/', + defaultQuery: { apiVersion: 'foo', hello: 'world' }, + apiKey: 'My API Key', + apiVersion, + }); + expect(client.buildURL('/foo', null)).toEqual( + `http://localhost:5000/foo?apiVersion=foo&hello=world&api-version=${apiVersion}`, + ); + }); + + test('overriding with `undefined`', () => { + const client = new AzureOpenAI({ + baseURL: 'http://localhost:5000/', + defaultQuery: { hello: 'world' }, + apiKey: 'My API Key', + apiVersion, + }); + expect(client.buildURL('/foo', { hello: undefined })).toEqual( + `http://localhost:5000/foo?api-version=${apiVersion}`, + ); + }); + }); + + test('custom fetch', async () => { + const client = new AzureOpenAI({ + baseURL: 'http://localhost:5000/', + apiKey: 'My API Key', + apiVersion, + fetch: (url) => { + return Promise.resolve( + new Response(JSON.stringify({ url, custom: true }), { + headers: { 'Content-Type': 'application/json' }, + }), + ); + }, + }); + + const response = await client.get('/foo'); + expect(response).toEqual({ url: `http://localhost:5000/foo?api-version=${apiVersion}`, custom: true }); + }); + + test('custom signal', async () => { + const client = new AzureOpenAI({ + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', + apiKey: 'My API Key', + apiVersion, + fetch: (...args) => { + return new Promise((resolve, reject) => + setTimeout( + () => + defaultFetch(...args) + .then(resolve) + .catch(reject), + 300, + ), + ); + }, + }); + + const controller = new AbortController(); + setTimeout(() => controller.abort(), 200); + + const spy = jest.spyOn(client, 'request'); + + await expect(client.get('/foo', { signal: controller.signal })).rejects.toThrowError(APIUserAbortError); + expect(spy).toHaveBeenCalledTimes(1); + }); + + describe('baseUrl', () => { + test('trailing slash', () => { + const client = new AzureOpenAI({ + baseURL: 'http://localhost:5000/custom/path/', + apiKey: 'My API Key', + apiVersion, + }); + expect(client.buildURL('/foo', null)).toEqual( + `http://localhost:5000/custom/path/foo?api-version=${apiVersion}`, + ); + }); + + test('no trailing slash', () => { + const client = new AzureOpenAI({ + baseURL: 'http://localhost:5000/custom/path', + apiKey: 'My API Key', + apiVersion, + }); + expect(client.buildURL('/foo', null)).toEqual( + `http://localhost:5000/custom/path/foo?api-version=${apiVersion}`, + ); + }); + + afterEach(() => { + process.env['OPENAI_BASE_URL'] = undefined; + }); + + test('explicit option', () => { + const client = new AzureOpenAI({ baseURL: 'https://example.com/', apiKey: 'My API Key', apiVersion }); + expect(client.baseURL).toEqual('https://example.com/'); + }); + + test('env variable', () => { + process.env['OPENAI_BASE_URL'] = 'https://example.com/from_env'; + const client = new AzureOpenAI({ apiKey: 'My API Key', apiVersion }); + expect(client.baseURL).toEqual('https://example.com/from_env'); + }); + + test('empty baseUrl/endpoint env variable', () => { + process.env['OPENAI_BASE_URL'] = ''; // empty + expect(() => new AzureOpenAI({ apiKey: 'My API Key', apiVersion })).toThrow( + /Must provide one of the `baseURL` or `endpoint` arguments, or the `AZURE_OPENAI_ENDPOINT` environment variable/, + ); + }); + + test('blank baseUrl/endpoint env variable', () => { + process.env['OPENAI_BASE_URL'] = ' '; // blank + expect(() => new AzureOpenAI({ apiKey: 'My API Key', apiVersion })).toThrow( + /Must provide one of the `baseURL` or `endpoint` arguments, or the `AZURE_OPENAI_ENDPOINT` environment variable/, + ); + }); + }); + + test('maxRetries option is correctly set', () => { + const client = new AzureOpenAI({ + baseURL: 'https://example.com/', + maxRetries: 4, + apiKey: 'My API Key', + apiVersion, + }); + expect(client.maxRetries).toEqual(4); + + // default + const client2 = new AzureOpenAI({ baseURL: 'https://example.com/', apiKey: 'My API Key', apiVersion }); + expect(client2.maxRetries).toEqual(2); + }); + + test('with environment variable arguments', () => { + // set options via env var + process.env['OPENAI_BASE_URL'] = 'https://example.com/'; + process.env['AZURE_OPENAI_API_KEY'] = 'My API Key'; + process.env['OPENAI_API_VERSION'] = 'My API Version'; + const client = new AzureOpenAI(); + expect(client.baseURL).toBe('https://example.com/'); + expect(client.apiKey).toBe('My API Key'); + expect(client.apiVersion).toBe('My API Version'); + }); + + test('with overriden environment variable arguments', () => { + // set options via env var + process.env['AZURE_OPENAI_API_KEY'] = 'another My API Key'; + process.env['OPENAI_API_VERSION'] = 'another My API Version'; + const client = new AzureOpenAI({ baseURL: 'https://example.com/', apiKey: 'My API Key', apiVersion }); + expect(client.apiKey).toBe('My API Key'); + expect(client.apiVersion).toBe(apiVersion); + }); + + describe('Azure Active Directory (AD)', () => { + test('with azureADTokenProvider', async () => { + const testFetch = async (url: RequestInfo, { headers }: RequestInit = {}): Promise => { + return new Response(JSON.stringify({ a: 1 }), { headers }); + }; + const client = new AzureOpenAI({ + baseURL: 'http://localhost:5000/', + azureADTokenProvider: async () => 'my token', + apiVersion, + fetch: testFetch, + }); + expect( + (await client.request({ method: 'post', path: 'https://example.com/' }).asResponse()).headers.get( + 'authorization', + ), + ).toEqual('Bearer my token'); + }); + + test('apiKey and azureADTokenProvider cant be combined', () => { + expect( + () => + new AzureOpenAI({ + baseURL: 'http://localhost:5000/', + azureADTokenProvider: async () => 'my token', + apiKey: 'My API Key', + apiVersion, + }), + ).toThrow( + /The `apiKey` and `azureADTokenProvider` arguments are mutually exclusive; only one can be passed at a time./, + ); + }); + + test('AAD token is refreshed', async () => { + let fail = true; + const testFetch = async (url: RequestInfo, req: RequestInit | undefined): Promise => { + if (fail) { + fail = false; + return new Response(undefined, { + status: 429, + headers: { + 'Retry-After': '0.1', + }, + }); + } + return new Response( + JSON.stringify({ auth: (req?.headers as Record)['authorization'] }), + { headers: { 'content-type': 'application/json' } }, + ); + }; + let counter = 0; + async function azureADTokenProvider() { + return `token-${counter++}`; + } + const client = new AzureOpenAI({ + baseURL: 'http://localhost:5000/', + azureADTokenProvider, + apiVersion, + fetch: testFetch, + }); + expect( + await client.chat.completions.create({ + model, + messages: [{ role: 'system', content: 'Hello' }], + }), + ).toStrictEqual({ + auth: 'Bearer token-1', + }); + }); + }); + + test('with endpoint', () => { + const client = new AzureOpenAI({ endpoint: 'https://example.com/', apiKey: 'My API Key', apiVersion }); + expect(client.baseURL).toEqual('https://example.com/openai'); + }); + + test('baseURL and endpoint are mutually exclusive', () => { + expect( + () => + new AzureOpenAI({ + endpoint: 'https://example.com/', + baseURL: 'https://anotherexample.com/', + apiKey: 'My API Key', + apiVersion, + }), + ).toThrow(/baseURL and endpoint are mutually exclusive/); + }); +}); + +describe('azure request building', () => { + const client = new AzureOpenAI({ baseURL: 'https://example.com/', apiKey: 'My API Key', apiVersion }); + + describe('model to deployment mapping', function () { + const testFetch = async (url: RequestInfo, { body }: RequestInit = {}): Promise => { + return new Response(JSON.stringify({ url, body }), { + headers: { 'content-type': 'application/json' }, + }); + }; + describe('with client-level deployment', function () { + const client = new AzureOpenAI({ + endpoint: 'https://example.com/', + apiKey: 'My API Key', + apiVersion, + deployment, + fetch: testFetch, + }); + + test('handles batch', async () => { + const { url } = (await client.batches.create({ + completion_window: '24h', + endpoint: '/v1/chat/completions', + input_file_id: 'file-id', + })) as any; + expect(url).toStrictEqual(`https://example.com/openai/batches?api-version=${apiVersion}`); + }); + + test('handles completions', async () => { + const { url } = (await client.completions.create({ + model, + prompt: 'prompt', + })) as any; + expect(url).toStrictEqual( + `https://example.com/openai/deployments/${deployment}/completions?api-version=${apiVersion}`, + ); + }); + + test('handles chat completions', async () => { + const { url } = (await client.chat.completions.create({ + model, + messages: [{ role: 'system', content: 'Hello' }], + })) as any; + expect(url).toStrictEqual( + `https://example.com/openai/deployments/${deployment}/chat/completions?api-version=${apiVersion}`, + ); + }); + + test('handles embeddings', async () => { + const { url } = (await client.embeddings.create({ + model, + input: 'input', + })) as any; + expect(url).toStrictEqual( + `https://example.com/openai/deployments/${deployment}/embeddings?api-version=${apiVersion}`, + ); + }); + + test('handles audio translations', async () => { + const { url } = (await client.audio.translations.create({ + model, + file: { url: 'https://example.com/', blob: () => 0 as any }, + })) as any; + expect(url).toStrictEqual( + `https://example.com/openai/deployments/${deployment}/audio/translations?api-version=${apiVersion}`, + ); + }); + + test('handles audio transcriptions', async () => { + const { url } = (await client.audio.transcriptions.create({ + model, + file: { url: 'https://example.com/', blob: () => 0 as any }, + })) as any; + expect(url).toStrictEqual( + `https://example.com/openai/deployments/${deployment}/audio/transcriptions?api-version=${apiVersion}`, + ); + }); + + test('handles text to speech', async () => { + const { url, body } = await ( + await client.audio.speech.create({ + model, + input: '', + voice: 'alloy', + }) + ).json(); + expect(url).toStrictEqual( + `https://example.com/openai/deployments/${deployment}/audio/speech?api-version=${apiVersion}`, + ); + expect(body).toMatch(new RegExp(`"model": "${model}"`)); + }); + + test('handles image generation', async () => { + const { url } = (await client.images.generate({ + model, + prompt: 'prompt', + })) as any; + expect(url).toStrictEqual( + `https://example.com/openai/deployments/${deployment}/images/generations?api-version=${apiVersion}`, + ); + }); + + test('handles assistants', async () => { + const { url } = (await client.beta.assistants.create({ + model, + })) as any; + expect(url).toStrictEqual(`https://example.com/openai/assistants?api-version=${apiVersion}`); + }); + + test('handles files', async () => { + const { url } = (await client.files.create({ + file: { url: 'https://example.com/', blob: () => 0 as any }, + purpose: 'assistants', + })) as any; + expect(url).toStrictEqual(`https://example.com/openai/files?api-version=${apiVersion}`); + }); + + test('handles fine tuning', async () => { + const { url } = (await client.fineTuning.jobs.create({ + model, + training_file: '', + })) as any; + expect(url).toStrictEqual(`https://example.com/openai/fine_tuning/jobs?api-version=${apiVersion}`); + }); + }); + + describe('with no client-level deployment', function () { + const client = new AzureOpenAI({ + endpoint: 'https://example.com/', + apiKey: 'My API Key', + apiVersion, + fetch: testFetch, + }); + + test('handles batch', async () => { + const { url } = (await client.batches.create({ + completion_window: '24h', + endpoint: '/v1/chat/completions', + input_file_id: 'file-id', + })) as any; + expect(url).toStrictEqual(`https://example.com/openai/batches?api-version=${apiVersion}`); + }); + + test('handles completions', async () => { + const { url } = (await client.completions.create({ + model: deployment, + prompt: 'prompt', + })) as any; + expect(url).toStrictEqual( + `https://example.com/openai/deployments/${deployment}/completions?api-version=${apiVersion}`, + ); + }); + + test('handles chat completions', async () => { + const { url } = (await client.chat.completions.create({ + model: deployment, + messages: [{ role: 'system', content: 'Hello' }], + })) as any; + expect(url).toStrictEqual( + `https://example.com/openai/deployments/${deployment}/chat/completions?api-version=${apiVersion}`, + ); + }); + + test('handles embeddings', async () => { + const { url } = (await client.embeddings.create({ + model: deployment, + input: 'input', + })) as any; + expect(url).toStrictEqual( + `https://example.com/openai/deployments/${deployment}/embeddings?api-version=${apiVersion}`, + ); + }); + + test('handles audio translations', async () => { + const { url } = (await client.audio.translations.create({ + model: deployment, + file: { url: 'https://example.com/', blob: () => 0 as any }, + })) as any; + expect(url).toStrictEqual( + `https://example.com/openai/deployments/${deployment}/audio/translations?api-version=${apiVersion}`, + ); + }); + + test('handles audio transcriptions', async () => { + const { url } = (await client.audio.transcriptions.create({ + model: deployment, + file: { url: 'https://example.com/', blob: () => 0 as any }, + })) as any; + expect(url).toStrictEqual( + `https://example.com/openai/deployments/${deployment}/audio/transcriptions?api-version=${apiVersion}`, + ); + }); + + test('handles text to speech', async () => { + const { url, body } = await ( + await client.audio.speech.create({ + model: deployment, + input: '', + voice: 'alloy', + }) + ).json(); + expect(url).toStrictEqual( + `https://example.com/openai/deployments/${deployment}/audio/speech?api-version=${apiVersion}`, + ); + expect(body).toMatch(new RegExp(`"model": "${deployment}"`)); + }); + + test('handles image generation', async () => { + const { url } = (await client.images.generate({ + model: deployment, + prompt: 'prompt', + })) as any; + expect(url).toStrictEqual( + `https://example.com/openai/deployments/${deployment}/images/generations?api-version=${apiVersion}`, + ); + }); + + test('handles assistants', async () => { + const { url } = (await client.beta.assistants.create({ + model, + })) as any; + expect(url).toStrictEqual(`https://example.com/openai/assistants?api-version=${apiVersion}`); + }); + + test('handles files', async () => { + const { url } = (await client.files.create({ + file: { url: 'https://example.com/', blob: () => 0 as any }, + purpose: 'assistants', + })) as any; + expect(url).toStrictEqual(`https://example.com/openai/files?api-version=${apiVersion}`); + }); + + test('handles fine tuning', async () => { + const { url } = (await client.fineTuning.jobs.create({ + model: deployment, + training_file: '', + })) as any; + expect(url).toStrictEqual(`https://example.com/openai/fine_tuning/jobs?api-version=${apiVersion}`); + }); + }); + }); + + describe('Content-Length', () => { + test('handles multi-byte characters', () => { + const { req } = client.buildRequest({ path: '/foo', method: 'post', body: { value: '—' } }); + expect((req.headers as Record)['content-length']).toEqual('20'); + }); + + test('handles standard characters', () => { + const { req } = client.buildRequest({ path: '/foo', method: 'post', body: { value: 'hello' } }); + expect((req.headers as Record)['content-length']).toEqual('22'); + }); + }); + + describe('custom headers', () => { + test('handles undefined', () => { + const { req } = client.buildRequest({ + path: '/foo', + method: 'post', + body: { value: 'hello' }, + headers: { 'X-Foo': 'baz', 'x-foo': 'bar', 'x-Foo': undefined, 'x-baz': 'bam', 'X-Baz': null }, + }); + expect((req.headers as Record)['x-foo']).toEqual('bar'); + expect((req.headers as Record)['x-Foo']).toEqual(undefined); + expect((req.headers as Record)['X-Foo']).toEqual(undefined); + expect((req.headers as Record)['x-baz']).toEqual(undefined); + }); + }); +}); + +describe('retries', () => { + test('retry on timeout', async () => { + let count = 0; + const testFetch = async (url: RequestInfo, { signal }: RequestInit = {}): Promise => { + if (count++ === 0) { + return new Promise( + (resolve, reject) => signal?.addEventListener('abort', () => reject(new Error('timed out'))), + ); + } + return new Response(JSON.stringify({ a: 1 }), { headers: { 'Content-Type': 'application/json' } }); + }; + + const client = new AzureOpenAI({ + baseURL: 'https://example.com/', + apiKey: 'My API Key', + apiVersion, + timeout: 10, + fetch: testFetch, + }); + + expect(await client.request({ path: '/foo', method: 'get' })).toEqual({ a: 1 }); + expect(count).toEqual(2); + expect( + await client + .request({ path: '/foo', method: 'get' }) + .asResponse() + .then((r) => r.text()), + ).toEqual(JSON.stringify({ a: 1 })); + expect(count).toEqual(3); + }); + + test('retry on 429 with retry-after', async () => { + let count = 0; + const testFetch = async (url: RequestInfo, { signal }: RequestInit = {}): Promise => { + if (count++ === 0) { + return new Response(undefined, { + status: 429, + headers: { + 'Retry-After': '0.1', + }, + }); + } + return new Response(JSON.stringify({ a: 1 }), { headers: { 'Content-Type': 'application/json' } }); + }; + + const client = new AzureOpenAI({ + baseURL: 'https://example.com/', + apiKey: 'My API Key', + apiVersion, + fetch: testFetch, + }); + + expect(await client.request({ path: '/foo', method: 'get' })).toEqual({ a: 1 }); + expect(count).toEqual(2); + expect( + await client + .request({ path: '/foo', method: 'get' }) + .asResponse() + .then((r) => r.text()), + ).toEqual(JSON.stringify({ a: 1 })); + expect(count).toEqual(3); + }); + + test('retry on 429 with retry-after-ms', async () => { + let count = 0; + const testFetch = async (url: RequestInfo, { signal }: RequestInit = {}): Promise => { + if (count++ === 0) { + return new Response(undefined, { + status: 429, + headers: { + 'Retry-After-Ms': '10', + }, + }); + } + return new Response(JSON.stringify({ a: 1 }), { headers: { 'Content-Type': 'application/json' } }); + }; + + const client = new AzureOpenAI({ + baseURL: 'https://example.com/', + apiKey: 'My API Key', + apiVersion, + fetch: testFetch, + }); + + expect(await client.request({ path: '/foo', method: 'get' })).toEqual({ a: 1 }); + expect(count).toEqual(2); + expect( + await client + .request({ path: '/foo', method: 'get' }) + .asResponse() + .then((r) => r.text()), + ).toEqual(JSON.stringify({ a: 1 })); + expect(count).toEqual(3); + }); +}); diff --git a/tests/lib/parser.test.ts b/tests/lib/parser.test.ts new file mode 100644 index 000000000..fa8123f5c --- /dev/null +++ b/tests/lib/parser.test.ts @@ -0,0 +1,1063 @@ +import { z } from 'zod'; +import { zodResponseFormat } from 'openai/helpers/zod'; +import { makeSnapshotRequest } from '../utils/mock-snapshots'; + +jest.setTimeout(1000 * 30); + +describe('.parse()', () => { + describe('zod', () => { + it('deserialises response_format', async () => { + const completion = await makeSnapshotRequest((openai) => + openai.beta.chat.completions.parse({ + model: 'gpt-4o-2024-08-06', + messages: [ + { + role: 'user', + content: "What's the weather like in SF?", + }, + ], + response_format: zodResponseFormat( + z.object({ + city: z.string(), + units: z.enum(['c', 'f']).default('f'), + }), + 'location', + ), + }), + ); + + expect(completion.choices[0]).toMatchInlineSnapshot(` + { + "finish_reason": "stop", + "index": 0, + "logprobs": null, + "message": { + "content": "{"city":"San Francisco","units":"c"}", + "parsed": { + "city": "San Francisco", + "units": "c", + }, + "refusal": null, + "role": "assistant", + }, + } + `); + }); + + test('top-level recursive schemas', async () => { + const UI: any = z.lazy(() => + z.object({ + type: z.enum(['div', 'button', 'header', 'section', 'field', 'form']), + label: z.string(), + children: z.array(UI), + attributes: z.array( + z.object({ + name: z.string(), + value: z.string(), + }), + ), + }), + ); + + const completion = await makeSnapshotRequest((openai) => + openai.beta.chat.completions.parse({ + model: 'gpt-4o-2024-08-06', + messages: [ + { + role: 'system', + content: 'You are a UI generator AI. Convert the user input into a UI.', + }, + { role: 'user', content: 'Make a User Profile Form with 3 fields' }, + ], + response_format: zodResponseFormat(UI, 'ui'), + }), + ); + + expect(completion.choices[0]?.message).toMatchInlineSnapshot(` + { + "content": "{"type":"form","label":"User Profile Form","children":[{"type":"field","label":"First Name","children":[],"attributes":[{"name":"type","value":"text"},{"name":"name","value":"firstName"},{"name":"placeholder","value":"Enter your first name"}]},{"type":"field","label":"Last Name","children":[],"attributes":[{"name":"type","value":"text"},{"name":"name","value":"lastName"},{"name":"placeholder","value":"Enter your last name"}]},{"type":"field","label":"Email Address","children":[],"attributes":[{"name":"type","value":"email"},{"name":"name","value":"email"},{"name":"placeholder","value":"Enter your email address"}]},{"type":"button","label":"Submit","children":[],"attributes":[{"name":"type","value":"submit"}]}],"attributes":[]}", + "parsed": { + "attributes": [], + "children": [ + { + "attributes": [ + { + "name": "type", + "value": "text", + }, + { + "name": "name", + "value": "firstName", + }, + { + "name": "placeholder", + "value": "Enter your first name", + }, + ], + "children": [], + "label": "First Name", + "type": "field", + }, + { + "attributes": [ + { + "name": "type", + "value": "text", + }, + { + "name": "name", + "value": "lastName", + }, + { + "name": "placeholder", + "value": "Enter your last name", + }, + ], + "children": [], + "label": "Last Name", + "type": "field", + }, + { + "attributes": [ + { + "name": "type", + "value": "email", + }, + { + "name": "name", + "value": "email", + }, + { + "name": "placeholder", + "value": "Enter your email address", + }, + ], + "children": [], + "label": "Email Address", + "type": "field", + }, + { + "attributes": [ + { + "name": "type", + "value": "submit", + }, + ], + "children": [], + "label": "Submit", + "type": "button", + }, + ], + "label": "User Profile Form", + "type": "form", + }, + "refusal": null, + "role": "assistant", + } + `); + + expect(zodResponseFormat(UI, 'ui').json_schema).toMatchInlineSnapshot(` + { + "name": "ui", + "schema": { + "$schema": "http://json-schema.org/draft-07/schema#", + "additionalProperties": false, + "definitions": { + "ui": { + "additionalProperties": false, + "properties": { + "attributes": { + "items": { + "additionalProperties": false, + "properties": { + "name": { + "type": "string", + }, + "value": { + "type": "string", + }, + }, + "required": [ + "name", + "value", + ], + "type": "object", + }, + "type": "array", + }, + "children": { + "items": { + "$ref": "#/definitions/ui", + }, + "type": "array", + }, + "label": { + "type": "string", + }, + "type": { + "enum": [ + "div", + "button", + "header", + "section", + "field", + "form", + ], + "type": "string", + }, + }, + "required": [ + "type", + "label", + "children", + "attributes", + ], + "type": "object", + }, + }, + "properties": { + "attributes": { + "items": { + "additionalProperties": false, + "properties": { + "name": { + "type": "string", + }, + "value": { + "type": "string", + }, + }, + "required": [ + "name", + "value", + ], + "type": "object", + }, + "type": "array", + }, + "children": { + "items": { + "$ref": "#/definitions/ui", + }, + "type": "array", + }, + "label": { + "type": "string", + }, + "type": { + "enum": [ + "div", + "button", + "header", + "section", + "field", + "form", + ], + "type": "string", + }, + }, + "required": [ + "type", + "label", + "children", + "attributes", + ], + "type": "object", + }, + "strict": true, + } + `); + }); + + test('merged schemas', async () => { + const personSchema = z.object({ + name: z.string(), + phone_number: z.string().nullable(), + }); + + const contactPersonSchema = z.object({ + person1: personSchema.merge( + z.object({ + roles: z + .array(z.enum(['parent', 'child', 'sibling', 'spouse', 'friend', 'other'])) + .describe('Any roles for which the contact is important, use other for custom roles'), + description: z + .string() + .nullable() + .describe('Open text for any other relevant information about what the contact does.'), + }), + ), + person2: personSchema.merge( + z.object({ + differentField: z.string(), + }), + ), + }); + + expect(zodResponseFormat(contactPersonSchema, 'contactPerson').json_schema.schema) + .toMatchInlineSnapshot(` + { + "$schema": "http://json-schema.org/draft-07/schema#", + "additionalProperties": false, + "definitions": { + "contactPerson": { + "additionalProperties": false, + "properties": { + "person1": { + "additionalProperties": false, + "properties": { + "description": { + "description": "Open text for any other relevant information about what the contact does.", + "nullable": true, + "type": "string", + }, + "name": { + "type": "string", + }, + "phone_number": { + "nullable": true, + "type": "string", + }, + "roles": { + "description": "Any roles for which the contact is important, use other for custom roles", + "items": { + "enum": [ + "parent", + "child", + "sibling", + "spouse", + "friend", + "other", + ], + "type": "string", + }, + "type": "array", + }, + }, + "required": [ + "name", + "phone_number", + "roles", + "description", + ], + "type": "object", + }, + "person2": { + "additionalProperties": false, + "properties": { + "differentField": { + "type": "string", + }, + "name": { + "$ref": "#/definitions/contactPerson_properties_person1_properties_name", + }, + "phone_number": { + "$ref": "#/definitions/contactPerson_properties_person1_properties_phone_number", + }, + }, + "required": [ + "name", + "phone_number", + "differentField", + ], + "type": "object", + }, + }, + "required": [ + "person1", + "person2", + ], + "type": "object", + }, + "contactPerson_properties_person1_properties_name": { + "type": "string", + }, + "contactPerson_properties_person1_properties_phone_number": { + "nullable": true, + "type": "string", + }, + }, + "properties": { + "person1": { + "additionalProperties": false, + "properties": { + "description": { + "description": "Open text for any other relevant information about what the contact does.", + "nullable": true, + "type": "string", + }, + "name": { + "type": "string", + }, + "phone_number": { + "nullable": true, + "type": "string", + }, + "roles": { + "description": "Any roles for which the contact is important, use other for custom roles", + "items": { + "enum": [ + "parent", + "child", + "sibling", + "spouse", + "friend", + "other", + ], + "type": "string", + }, + "type": "array", + }, + }, + "required": [ + "name", + "phone_number", + "roles", + "description", + ], + "type": "object", + }, + "person2": { + "additionalProperties": false, + "properties": { + "differentField": { + "type": "string", + }, + "name": { + "$ref": "#/definitions/contactPerson_properties_person1_properties_name", + }, + "phone_number": { + "$ref": "#/definitions/contactPerson_properties_person1_properties_phone_number", + }, + }, + "required": [ + "name", + "phone_number", + "differentField", + ], + "type": "object", + }, + }, + "required": [ + "person1", + "person2", + ], + "type": "object", + } + `); + + const completion = await makeSnapshotRequest( + (openai) => + openai.beta.chat.completions.parse({ + model: 'gpt-4o-2024-08-06', + messages: [ + { + role: 'system', + content: 'You are a helpful assistant.', + }, + { + role: 'user', + content: + 'jane doe, born nov 16, engineer at openai, jane@openai.com. john smith, born march 1, enigneer at openai, john@openai.com', + }, + ], + response_format: zodResponseFormat(contactPersonSchema, 'contactPerson'), + }), + 2, + ); + + expect(completion.choices[0]?.message).toMatchInlineSnapshot(` + { + "content": "{"person1":{"name":"Jane Doe","phone_number":".","roles":["other"],"description":"Engineer at OpenAI, born Nov 16, contact email: jane@openai.com"},"person2":{"name":"John Smith","phone_number":"john@openai.com","differentField":"Engineer at OpenAI, born March 1."}}", + "parsed": { + "person1": { + "description": "Engineer at OpenAI, born Nov 16, contact email: jane@openai.com", + "name": "Jane Doe", + "phone_number": ".", + "roles": [ + "other", + ], + }, + "person2": { + "differentField": "Engineer at OpenAI, born March 1.", + "name": "John Smith", + "phone_number": "john@openai.com", + }, + }, + "refusal": null, + "role": "assistant", + } + `); + }); + + test('nested schema extraction', async () => { + // optional object that can be on each field, mark it as nullable to comply with structured output restrictions + const metadata = z.nullable( + z.object({ + foo: z.string(), + }), + ); + + // union element a + const fieldA = z.object({ + type: z.literal('string'), + name: z.string(), + metadata, + }); + + // union element b, both referring to above nullable object + const fieldB = z.object({ + type: z.literal('number'), + metadata, + }); + + // top level input object with array of union element + const model = z.object({ + name: z.string(), + fields: z.array(z.union([fieldA, fieldB])), + }); + + expect(zodResponseFormat(model, 'query').json_schema.schema).toMatchInlineSnapshot(` + { + "$schema": "http://json-schema.org/draft-07/schema#", + "additionalProperties": false, + "definitions": { + "query": { + "additionalProperties": false, + "properties": { + "fields": { + "items": { + "anyOf": [ + { + "additionalProperties": false, + "properties": { + "metadata": { + "anyOf": [ + { + "additionalProperties": false, + "properties": { + "foo": { + "type": "string", + }, + }, + "required": [ + "foo", + ], + "type": "object", + }, + { + "type": "null", + }, + ], + }, + "name": { + "type": "string", + }, + "type": { + "const": "string", + "type": "string", + }, + }, + "required": [ + "type", + "name", + "metadata", + ], + "type": "object", + }, + { + "additionalProperties": false, + "properties": { + "metadata": { + "$ref": "#/definitions/query_properties_fields_items_anyOf_0_properties_metadata", + }, + "type": { + "const": "number", + "type": "string", + }, + }, + "required": [ + "type", + "metadata", + ], + "type": "object", + }, + ], + }, + "type": "array", + }, + "name": { + "type": "string", + }, + }, + "required": [ + "name", + "fields", + ], + "type": "object", + }, + "query_properties_fields_items_anyOf_0_properties_metadata": { + "anyOf": [ + { + "$ref": "#/definitions/query_properties_fields_items_anyOf_0_properties_metadata_anyOf_0", + }, + { + "type": "null", + }, + ], + }, + "query_properties_fields_items_anyOf_0_properties_metadata_anyOf_0": { + "additionalProperties": false, + "properties": { + "foo": { + "$ref": "#/definitions/query_properties_fields_items_anyOf_0_properties_metadata_anyOf_0_properties_foo", + }, + }, + "required": [ + "foo", + ], + "type": "object", + }, + "query_properties_fields_items_anyOf_0_properties_metadata_anyOf_0_properties_foo": { + "type": "string", + }, + }, + "properties": { + "fields": { + "items": { + "anyOf": [ + { + "additionalProperties": false, + "properties": { + "metadata": { + "anyOf": [ + { + "additionalProperties": false, + "properties": { + "foo": { + "type": "string", + }, + }, + "required": [ + "foo", + ], + "type": "object", + }, + { + "type": "null", + }, + ], + }, + "name": { + "type": "string", + }, + "type": { + "const": "string", + "type": "string", + }, + }, + "required": [ + "type", + "name", + "metadata", + ], + "type": "object", + }, + { + "additionalProperties": false, + "properties": { + "metadata": { + "$ref": "#/definitions/query_properties_fields_items_anyOf_0_properties_metadata", + }, + "type": { + "const": "number", + "type": "string", + }, + }, + "required": [ + "type", + "metadata", + ], + "type": "object", + }, + ], + }, + "type": "array", + }, + "name": { + "type": "string", + }, + }, + "required": [ + "name", + "fields", + ], + "type": "object", + } + `); + + const completion = await makeSnapshotRequest( + (openai) => + openai.beta.chat.completions.parse({ + model: 'gpt-4o-2024-08-06', + messages: [ + { + role: 'system', + content: + "You are a helpful assistant. Generate a data model according to the user's instructions.", + }, + { role: 'user', content: 'create a todo app data model' }, + ], + response_format: zodResponseFormat(model, 'query'), + }), + 2, + ); + + expect(completion.choices[0]?.message).toMatchInlineSnapshot(` + { + "content": "{"name":"TodoApp","fields":[{"type":"string","name":"taskId","metadata":{"foo":"unique identifier for each task"}},{"type":"string","name":"title","metadata":{"foo":"title of the task"}},{"type":"string","name":"description","metadata":{"foo":"detailed description of the task. This is optional."}},{"type":"string","name":"status","metadata":{"foo":"status of the task, e.g., pending, completed, etc."}},{"type":"string","name":"dueDate","metadata":null},{"type":"string","name":"priority","metadata":{"foo":"priority level of the task, e.g., low, medium, high"}},{"type":"string","name":"creationDate","metadata":{"foo":"date when the task was created"}},{"type":"string","name":"lastModifiedDate","metadata":{"foo":"date when the task was last modified"}},{"type":"string","name":"tags","metadata":{"foo":"tags associated with the task, for categorization"}}]}", + "parsed": { + "fields": [ + { + "metadata": { + "foo": "unique identifier for each task", + }, + "name": "taskId", + "type": "string", + }, + { + "metadata": { + "foo": "title of the task", + }, + "name": "title", + "type": "string", + }, + { + "metadata": { + "foo": "detailed description of the task. This is optional.", + }, + "name": "description", + "type": "string", + }, + { + "metadata": { + "foo": "status of the task, e.g., pending, completed, etc.", + }, + "name": "status", + "type": "string", + }, + { + "metadata": null, + "name": "dueDate", + "type": "string", + }, + { + "metadata": { + "foo": "priority level of the task, e.g., low, medium, high", + }, + "name": "priority", + "type": "string", + }, + { + "metadata": { + "foo": "date when the task was created", + }, + "name": "creationDate", + "type": "string", + }, + { + "metadata": { + "foo": "date when the task was last modified", + }, + "name": "lastModifiedDate", + "type": "string", + }, + { + "metadata": { + "foo": "tags associated with the task, for categorization", + }, + "name": "tags", + "type": "string", + }, + ], + "name": "TodoApp", + }, + "refusal": null, + "role": "assistant", + } + `); + }); + + test('recursive schema extraction', async () => { + const baseLinkedListNodeSchema = z.object({ + value: z.number(), + }); + type LinkedListNode = z.infer & { + next: LinkedListNode | null; + }; + const linkedListNodeSchema: z.ZodType = baseLinkedListNodeSchema.extend({ + next: z.lazy(() => z.union([linkedListNodeSchema, z.null()])), + }); + + // Define the main schema + const mainSchema = z.object({ + linked_list: linkedListNodeSchema, + }); + + expect(zodResponseFormat(mainSchema, 'query').json_schema.schema).toMatchInlineSnapshot(` + { + "$schema": "http://json-schema.org/draft-07/schema#", + "additionalProperties": false, + "definitions": { + "query": { + "additionalProperties": false, + "properties": { + "linked_list": { + "additionalProperties": false, + "properties": { + "next": { + "anyOf": [ + { + "$ref": "#/definitions/query_properties_linked_list", + }, + { + "type": "null", + }, + ], + }, + "value": { + "type": "number", + }, + }, + "required": [ + "value", + "next", + ], + "type": "object", + }, + }, + "required": [ + "linked_list", + ], + "type": "object", + }, + "query_properties_linked_list": { + "additionalProperties": false, + "properties": { + "next": { + "$ref": "#/definitions/query_properties_linked_list_properties_next", + }, + "value": { + "$ref": "#/definitions/query_properties_linked_list_properties_value", + }, + }, + "required": [ + "value", + "next", + ], + "type": "object", + }, + "query_properties_linked_list_properties_next": { + "anyOf": [ + { + "$ref": "#/definitions/query_properties_linked_list", + }, + { + "type": "null", + }, + ], + }, + "query_properties_linked_list_properties_value": { + "type": "number", + }, + }, + "properties": { + "linked_list": { + "additionalProperties": false, + "properties": { + "next": { + "anyOf": [ + { + "$ref": "#/definitions/query_properties_linked_list", + }, + { + "type": "null", + }, + ], + }, + "value": { + "type": "number", + }, + }, + "required": [ + "value", + "next", + ], + "type": "object", + }, + }, + "required": [ + "linked_list", + ], + "type": "object", + } + `); + + const completion = await makeSnapshotRequest( + (openai) => + openai.beta.chat.completions.parse({ + model: 'gpt-4o-2024-08-06', + messages: [ + { + role: 'system', + content: + "You are a helpful assistant. Generate a data model according to the user's instructions.", + }, + { role: 'user', content: 'create a linklist from 1 to 5' }, + ], + response_format: zodResponseFormat(mainSchema, 'query'), + }), + 2, + ); + + expect(completion.choices[0]?.message).toMatchInlineSnapshot(` + { + "content": "{"linked_list":{"value":1,"next":{"value":2,"next":{"value":3,"next":{"value":4,"next":{"value":5,"next":null}}}}}}", + "parsed": { + "linked_list": { + "next": { + "next": { + "next": { + "next": { + "next": null, + "value": 5, + }, + "value": 4, + }, + "value": 3, + }, + "value": 2, + }, + "value": 1, + }, + }, + "refusal": null, + "role": "assistant", + } + `); + }); + + test('ref schemas with `.transform()`', async () => { + const Inner = z.object({ + baz: z.boolean().transform((v) => v ?? true), + }); + + const Outer = z.object({ + first: Inner, + second: Inner, + }); + + expect(zodResponseFormat(Outer, 'data').json_schema.schema).toMatchInlineSnapshot(` + { + "$schema": "http://json-schema.org/draft-07/schema#", + "additionalProperties": false, + "definitions": { + "data": { + "additionalProperties": false, + "properties": { + "first": { + "additionalProperties": false, + "properties": { + "baz": { + "type": "boolean", + }, + }, + "required": [ + "baz", + ], + "type": "object", + }, + "second": { + "$ref": "#/definitions/data_properties_first", + }, + }, + "required": [ + "first", + "second", + ], + "type": "object", + }, + "data_properties_first": { + "additionalProperties": false, + "properties": { + "baz": { + "$ref": "#/definitions/data_properties_first_properties_baz", + }, + }, + "required": [ + "baz", + ], + "type": "object", + }, + "data_properties_first_properties_baz": { + "type": "boolean", + }, + }, + "properties": { + "first": { + "additionalProperties": false, + "properties": { + "baz": { + "type": "boolean", + }, + }, + "required": [ + "baz", + ], + "type": "object", + }, + "second": { + "$ref": "#/definitions/data_properties_first", + }, + }, + "required": [ + "first", + "second", + ], + "type": "object", + } + `); + + const completion = await makeSnapshotRequest( + (openai) => + openai.beta.chat.completions.parse({ + model: 'gpt-4o-2024-08-06', + messages: [ + { + role: 'user', + content: 'can you generate fake data matching the given response format?', + }, + ], + response_format: zodResponseFormat(Outer, 'fakeData'), + }), + 2, + ); + + expect(completion.choices[0]?.message).toMatchInlineSnapshot(` + { + "content": "{"first":{"baz":true},"second":{"baz":false}}", + "parsed": { + "first": { + "baz": true, + }, + "second": { + "baz": false, + }, + }, + "refusal": null, + "role": "assistant", + } + `); + }); + }); +}); diff --git a/tests/qs/empty-keys-cases.ts b/tests/qs/empty-keys-cases.ts new file mode 100644 index 000000000..ea2c1b0a2 --- /dev/null +++ b/tests/qs/empty-keys-cases.ts @@ -0,0 +1,271 @@ +export const empty_test_cases = [ + { + input: '&', + with_empty_keys: {}, + stringify_output: { + brackets: '', + indices: '', + repeat: '', + }, + no_empty_keys: {}, + }, + { + input: '&&', + with_empty_keys: {}, + stringify_output: { + brackets: '', + indices: '', + repeat: '', + }, + no_empty_keys: {}, + }, + { + input: '&=', + with_empty_keys: { '': '' }, + stringify_output: { + brackets: '=', + indices: '=', + repeat: '=', + }, + no_empty_keys: {}, + }, + { + input: '&=&', + with_empty_keys: { '': '' }, + stringify_output: { + brackets: '=', + indices: '=', + repeat: '=', + }, + no_empty_keys: {}, + }, + { + input: '&=&=', + with_empty_keys: { '': ['', ''] }, + stringify_output: { + brackets: '[]=&[]=', + indices: '[0]=&[1]=', + repeat: '=&=', + }, + no_empty_keys: {}, + }, + { + input: '&=&=&', + with_empty_keys: { '': ['', ''] }, + stringify_output: { + brackets: '[]=&[]=', + indices: '[0]=&[1]=', + repeat: '=&=', + }, + no_empty_keys: {}, + }, + { + input: '=', + with_empty_keys: { '': '' }, + no_empty_keys: {}, + stringify_output: { + brackets: '=', + indices: '=', + repeat: '=', + }, + }, + { + input: '=&', + with_empty_keys: { '': '' }, + stringify_output: { + brackets: '=', + indices: '=', + repeat: '=', + }, + no_empty_keys: {}, + }, + { + input: '=&&&', + with_empty_keys: { '': '' }, + stringify_output: { + brackets: '=', + indices: '=', + repeat: '=', + }, + no_empty_keys: {}, + }, + { + input: '=&=&=&', + with_empty_keys: { '': ['', '', ''] }, + stringify_output: { + brackets: '[]=&[]=&[]=', + indices: '[0]=&[1]=&[2]=', + repeat: '=&=&=', + }, + no_empty_keys: {}, + }, + { + input: '=&a[]=b&a[1]=c', + with_empty_keys: { '': '', a: ['b', 'c'] }, + stringify_output: { + brackets: '=&a[]=b&a[]=c', + indices: '=&a[0]=b&a[1]=c', + repeat: '=&a=b&a=c', + }, + no_empty_keys: { a: ['b', 'c'] }, + }, + { + input: '=a', + with_empty_keys: { '': 'a' }, + no_empty_keys: {}, + stringify_output: { + brackets: '=a', + indices: '=a', + repeat: '=a', + }, + }, + { + input: 'a==a', + with_empty_keys: { a: '=a' }, + no_empty_keys: { a: '=a' }, + stringify_output: { + brackets: 'a==a', + indices: 'a==a', + repeat: 'a==a', + }, + }, + { + input: '=&a[]=b', + with_empty_keys: { '': '', a: ['b'] }, + stringify_output: { + brackets: '=&a[]=b', + indices: '=&a[0]=b', + repeat: '=&a=b', + }, + no_empty_keys: { a: ['b'] }, + }, + { + input: '=&a[]=b&a[]=c&a[2]=d', + with_empty_keys: { '': '', a: ['b', 'c', 'd'] }, + stringify_output: { + brackets: '=&a[]=b&a[]=c&a[]=d', + indices: '=&a[0]=b&a[1]=c&a[2]=d', + repeat: '=&a=b&a=c&a=d', + }, + no_empty_keys: { a: ['b', 'c', 'd'] }, + }, + { + input: '=a&=b', + with_empty_keys: { '': ['a', 'b'] }, + stringify_output: { + brackets: '[]=a&[]=b', + indices: '[0]=a&[1]=b', + repeat: '=a&=b', + }, + no_empty_keys: {}, + }, + { + input: '=a&foo=b', + with_empty_keys: { '': 'a', foo: 'b' }, + no_empty_keys: { foo: 'b' }, + stringify_output: { + brackets: '=a&foo=b', + indices: '=a&foo=b', + repeat: '=a&foo=b', + }, + }, + { + input: 'a[]=b&a=c&=', + with_empty_keys: { '': '', a: ['b', 'c'] }, + stringify_output: { + brackets: '=&a[]=b&a[]=c', + indices: '=&a[0]=b&a[1]=c', + repeat: '=&a=b&a=c', + }, + no_empty_keys: { a: ['b', 'c'] }, + }, + { + input: 'a[]=b&a=c&=', + with_empty_keys: { '': '', a: ['b', 'c'] }, + stringify_output: { + brackets: '=&a[]=b&a[]=c', + indices: '=&a[0]=b&a[1]=c', + repeat: '=&a=b&a=c', + }, + no_empty_keys: { a: ['b', 'c'] }, + }, + { + input: 'a[0]=b&a=c&=', + with_empty_keys: { '': '', a: ['b', 'c'] }, + stringify_output: { + brackets: '=&a[]=b&a[]=c', + indices: '=&a[0]=b&a[1]=c', + repeat: '=&a=b&a=c', + }, + no_empty_keys: { a: ['b', 'c'] }, + }, + { + input: 'a=b&a[]=c&=', + with_empty_keys: { '': '', a: ['b', 'c'] }, + stringify_output: { + brackets: '=&a[]=b&a[]=c', + indices: '=&a[0]=b&a[1]=c', + repeat: '=&a=b&a=c', + }, + no_empty_keys: { a: ['b', 'c'] }, + }, + { + input: 'a=b&a[0]=c&=', + with_empty_keys: { '': '', a: ['b', 'c'] }, + stringify_output: { + brackets: '=&a[]=b&a[]=c', + indices: '=&a[0]=b&a[1]=c', + repeat: '=&a=b&a=c', + }, + no_empty_keys: { a: ['b', 'c'] }, + }, + { + input: '[]=a&[]=b& []=1', + with_empty_keys: { '': ['a', 'b'], ' ': ['1'] }, + stringify_output: { + brackets: '[]=a&[]=b& []=1', + indices: '[0]=a&[1]=b& [0]=1', + repeat: '=a&=b& =1', + }, + no_empty_keys: { 0: 'a', 1: 'b', ' ': ['1'] }, + }, + { + input: '[0]=a&[1]=b&a[0]=1&a[1]=2', + with_empty_keys: { '': ['a', 'b'], a: ['1', '2'] }, + no_empty_keys: { 0: 'a', 1: 'b', a: ['1', '2'] }, + stringify_output: { + brackets: '[]=a&[]=b&a[]=1&a[]=2', + indices: '[0]=a&[1]=b&a[0]=1&a[1]=2', + repeat: '=a&=b&a=1&a=2', + }, + }, + { + input: '[deep]=a&[deep]=2', + with_empty_keys: { '': { deep: ['a', '2'] } }, + stringify_output: { + brackets: '[deep][]=a&[deep][]=2', + indices: '[deep][0]=a&[deep][1]=2', + repeat: '[deep]=a&[deep]=2', + }, + no_empty_keys: { deep: ['a', '2'] }, + }, + { + input: '%5B0%5D=a&%5B1%5D=b', + with_empty_keys: { '': ['a', 'b'] }, + stringify_output: { + brackets: '[]=a&[]=b', + indices: '[0]=a&[1]=b', + repeat: '=a&=b', + }, + no_empty_keys: { 0: 'a', 1: 'b' }, + }, +] satisfies { + input: string; + with_empty_keys: Record; + stringify_output: { + brackets: string; + indices: string; + repeat: string; + }; + no_empty_keys: Record; +}[]; diff --git a/tests/qs/stringify.test.ts b/tests/qs/stringify.test.ts new file mode 100644 index 000000000..ab3456824 --- /dev/null +++ b/tests/qs/stringify.test.ts @@ -0,0 +1,2232 @@ +import iconv from 'iconv-lite'; +import { stringify } from 'openai/internal/qs'; +import { encode } from 'openai/internal/qs/utils'; +import { StringifyOptions } from 'openai/internal/qs/types'; +import { empty_test_cases } from './empty-keys-cases'; +import assert from 'assert'; + +describe('stringify()', function () { + test('stringifies a querystring object', function () { + expect(stringify({ a: 'b' })).toBe('a=b'); + expect(stringify({ a: 1 })).toBe('a=1'); + expect(stringify({ a: 1, b: 2 })).toBe('a=1&b=2'); + expect(stringify({ a: 'A_Z' })).toBe('a=A_Z'); + expect(stringify({ a: '€' })).toBe('a=%E2%82%AC'); + expect(stringify({ a: '' })).toBe('a=%EE%80%80'); + expect(stringify({ a: 'א' })).toBe('a=%D7%90'); + expect(stringify({ a: '𐐷' })).toBe('a=%F0%90%90%B7'); + }); + + test('stringifies falsy values', function () { + expect(stringify(undefined)).toBe(''); + expect(stringify(null)).toBe(''); + expect(stringify(null, { strictNullHandling: true })).toBe(''); + expect(stringify(false)).toBe(''); + expect(stringify(0)).toBe(''); + }); + + test('stringifies symbols', function () { + expect(stringify(Symbol.iterator)).toBe(''); + expect(stringify([Symbol.iterator])).toBe('0=Symbol%28Symbol.iterator%29'); + expect(stringify({ a: Symbol.iterator })).toBe('a=Symbol%28Symbol.iterator%29'); + expect(stringify({ a: [Symbol.iterator] }, { encodeValuesOnly: true, arrayFormat: 'brackets' })).toBe( + 'a[]=Symbol%28Symbol.iterator%29', + ); + }); + + test('stringifies bigints', function () { + var three = BigInt(3); + // @ts-expect-error + var encodeWithN = function (value, defaultEncoder, charset) { + var result = defaultEncoder(value, defaultEncoder, charset); + return typeof value === 'bigint' ? result + 'n' : result; + }; + + expect(stringify(three)).toBe(''); + expect(stringify([three])).toBe('0=3'); + expect(stringify([three], { encoder: encodeWithN })).toBe('0=3n'); + expect(stringify({ a: three })).toBe('a=3'); + expect(stringify({ a: three }, { encoder: encodeWithN })).toBe('a=3n'); + expect(stringify({ a: [three] }, { encodeValuesOnly: true, arrayFormat: 'brackets' })).toBe('a[]=3'); + expect( + stringify({ a: [three] }, { encodeValuesOnly: true, encoder: encodeWithN, arrayFormat: 'brackets' }), + ).toBe('a[]=3n'); + }); + + test('encodes dot in key of object when encodeDotInKeys and allowDots is provided', function () { + expect( + stringify({ 'name.obj': { first: 'John', last: 'Doe' } }, { allowDots: false, encodeDotInKeys: false }), + ).toBe('name.obj%5Bfirst%5D=John&name.obj%5Blast%5D=Doe'); + expect( + stringify({ 'name.obj': { first: 'John', last: 'Doe' } }, { allowDots: true, encodeDotInKeys: false }), + ).toBe('name.obj.first=John&name.obj.last=Doe'); + expect( + stringify({ 'name.obj': { first: 'John', last: 'Doe' } }, { allowDots: false, encodeDotInKeys: true }), + ).toBe('name%252Eobj%5Bfirst%5D=John&name%252Eobj%5Blast%5D=Doe'); + expect( + stringify({ 'name.obj': { first: 'John', last: 'Doe' } }, { allowDots: true, encodeDotInKeys: true }), + ).toBe('name%252Eobj.first=John&name%252Eobj.last=Doe'); + + // st.equal( + // stringify( + // { 'name.obj.subobject': { 'first.godly.name': 'John', last: 'Doe' } }, + // { allowDots: false, encodeDotInKeys: false }, + // ), + // 'name.obj.subobject%5Bfirst.godly.name%5D=John&name.obj.subobject%5Blast%5D=Doe', + // 'with allowDots false and encodeDotInKeys false', + // ); + // st.equal( + // stringify( + // { 'name.obj.subobject': { 'first.godly.name': 'John', last: 'Doe' } }, + // { allowDots: true, encodeDotInKeys: false }, + // ), + // 'name.obj.subobject.first.godly.name=John&name.obj.subobject.last=Doe', + // 'with allowDots false and encodeDotInKeys false', + // ); + // st.equal( + // stringify( + // { 'name.obj.subobject': { 'first.godly.name': 'John', last: 'Doe' } }, + // { allowDots: false, encodeDotInKeys: true }, + // ), + // 'name%252Eobj%252Esubobject%5Bfirst.godly.name%5D=John&name%252Eobj%252Esubobject%5Blast%5D=Doe', + // 'with allowDots false and encodeDotInKeys true', + // ); + // st.equal( + // stringify( + // { 'name.obj.subobject': { 'first.godly.name': 'John', last: 'Doe' } }, + // { allowDots: true, encodeDotInKeys: true }, + // ), + // 'name%252Eobj%252Esubobject.first%252Egodly%252Ename=John&name%252Eobj%252Esubobject.last=Doe', + // 'with allowDots true and encodeDotInKeys true', + // ); + expect( + stringify( + { 'name.obj.subobject': { 'first.godly.name': 'John', last: 'Doe' } }, + { allowDots: false, encodeDotInKeys: false }, + ), + ).toBe('name.obj.subobject%5Bfirst.godly.name%5D=John&name.obj.subobject%5Blast%5D=Doe'); + expect( + stringify( + { 'name.obj.subobject': { 'first.godly.name': 'John', last: 'Doe' } }, + { allowDots: true, encodeDotInKeys: false }, + ), + ).toBe('name.obj.subobject.first.godly.name=John&name.obj.subobject.last=Doe'); + expect( + stringify( + { 'name.obj.subobject': { 'first.godly.name': 'John', last: 'Doe' } }, + { allowDots: false, encodeDotInKeys: true }, + ), + ).toBe('name%252Eobj%252Esubobject%5Bfirst.godly.name%5D=John&name%252Eobj%252Esubobject%5Blast%5D=Doe'); + expect( + stringify( + { 'name.obj.subobject': { 'first.godly.name': 'John', last: 'Doe' } }, + { allowDots: true, encodeDotInKeys: true }, + ), + ).toBe('name%252Eobj%252Esubobject.first%252Egodly%252Ename=John&name%252Eobj%252Esubobject.last=Doe'); + }); + + test('should encode dot in key of object, and automatically set allowDots to `true` when encodeDotInKeys is true and allowDots in undefined', function () { + // st.equal( + // stringify( + // { 'name.obj.subobject': { 'first.godly.name': 'John', last: 'Doe' } }, + // { encodeDotInKeys: true }, + // ), + // 'name%252Eobj%252Esubobject.first%252Egodly%252Ename=John&name%252Eobj%252Esubobject.last=Doe', + // 'with allowDots undefined and encodeDotInKeys true', + // ); + expect( + stringify( + { 'name.obj.subobject': { 'first.godly.name': 'John', last: 'Doe' } }, + { encodeDotInKeys: true }, + ), + ).toBe('name%252Eobj%252Esubobject.first%252Egodly%252Ename=John&name%252Eobj%252Esubobject.last=Doe'); + }); + + test('should encode dot in key of object when encodeDotInKeys and allowDots is provided, and nothing else when encodeValuesOnly is provided', function () { + // st.equal( + // stringify( + // { 'name.obj': { first: 'John', last: 'Doe' } }, + // { + // encodeDotInKeys: true, + // allowDots: true, + // encodeValuesOnly: true, + // }, + // ), + // 'name%2Eobj.first=John&name%2Eobj.last=Doe', + // ); + expect( + stringify( + { 'name.obj': { first: 'John', last: 'Doe' } }, + { + encodeDotInKeys: true, + allowDots: true, + encodeValuesOnly: true, + }, + ), + ).toBe('name%2Eobj.first=John&name%2Eobj.last=Doe'); + + // st.equal( + // stringify( + // { 'name.obj.subobject': { 'first.godly.name': 'John', last: 'Doe' } }, + // { allowDots: true, encodeDotInKeys: true, encodeValuesOnly: true }, + // ), + // 'name%2Eobj%2Esubobject.first%2Egodly%2Ename=John&name%2Eobj%2Esubobject.last=Doe', + // ); + expect( + stringify( + { 'name.obj.subobject': { 'first.godly.name': 'John', last: 'Doe' } }, + { allowDots: true, encodeDotInKeys: true, encodeValuesOnly: true }, + ), + ).toBe('name%2Eobj%2Esubobject.first%2Egodly%2Ename=John&name%2Eobj%2Esubobject.last=Doe'); + }); + + test('throws when `commaRoundTrip` is not a boolean', function () { + // st['throws']( + // function () { + // stringify({}, { commaRoundTrip: 'not a boolean' }); + // }, + // TypeError, + // 'throws when `commaRoundTrip` is not a boolean', + // ); + expect(() => { + // @ts-expect-error + stringify({}, { commaRoundTrip: 'not a boolean' }); + }).toThrow(TypeError); + }); + + test('throws when `encodeDotInKeys` is not a boolean', function () { + // st['throws'](function () { + // stringify({ a: [], b: 'zz' }, { encodeDotInKeys: 'foobar' }); + // }, TypeError); + expect(() => { + // @ts-expect-error + stringify({ a: [], b: 'zz' }, { encodeDotInKeys: 'foobar' }); + }).toThrow(TypeError); + + // st['throws'](function () { + // stringify({ a: [], b: 'zz' }, { encodeDotInKeys: 0 }); + // }, TypeError); + expect(() => { + // @ts-expect-error + stringify({ a: [], b: 'zz' }, { encodeDotInKeys: 0 }); + }).toThrow(TypeError); + + // st['throws'](function () { + // stringify({ a: [], b: 'zz' }, { encodeDotInKeys: NaN }); + // }, TypeError); + expect(() => { + // @ts-expect-error + stringify({ a: [], b: 'zz' }, { encodeDotInKeys: NaN }); + }).toThrow(TypeError); + + // st['throws'](function () { + // stringify({ a: [], b: 'zz' }, { encodeDotInKeys: null }); + // }, TypeError); + expect(() => { + // @ts-expect-error + stringify({ a: [], b: 'zz' }, { encodeDotInKeys: null }); + }).toThrow(TypeError); + }); + + test('adds query prefix', function () { + // st.equal(stringify({ a: 'b' }, { addQueryPrefix: true }), '?a=b'); + expect(stringify({ a: 'b' }, { addQueryPrefix: true })).toBe('?a=b'); + }); + + test('with query prefix, outputs blank string given an empty object', function () { + // st.equal(stringify({}, { addQueryPrefix: true }), ''); + expect(stringify({}, { addQueryPrefix: true })).toBe(''); + }); + + test('stringifies nested falsy values', function () { + // st.equal(stringify({ a: { b: { c: null } } }), 'a%5Bb%5D%5Bc%5D='); + // st.equal( + // stringify({ a: { b: { c: null } } }, { strictNullHandling: true }), + // 'a%5Bb%5D%5Bc%5D', + // ); + // st.equal(stringify({ a: { b: { c: false } } }), 'a%5Bb%5D%5Bc%5D=false'); + expect(stringify({ a: { b: { c: null } } })).toBe('a%5Bb%5D%5Bc%5D='); + expect(stringify({ a: { b: { c: null } } }, { strictNullHandling: true })).toBe('a%5Bb%5D%5Bc%5D'); + expect(stringify({ a: { b: { c: false } } })).toBe('a%5Bb%5D%5Bc%5D=false'); + }); + + test('stringifies a nested object', function () { + // st.equal(stringify({ a: { b: 'c' } }), 'a%5Bb%5D=c'); + // st.equal(stringify({ a: { b: { c: { d: 'e' } } } }), 'a%5Bb%5D%5Bc%5D%5Bd%5D=e'); + expect(stringify({ a: { b: 'c' } })).toBe('a%5Bb%5D=c'); + expect(stringify({ a: { b: { c: { d: 'e' } } } })).toBe('a%5Bb%5D%5Bc%5D%5Bd%5D=e'); + }); + + test('`allowDots` option: stringifies a nested object with dots notation', function () { + // st.equal(stringify({ a: { b: 'c' } }, { allowDots: true }), 'a.b=c'); + // st.equal(stringify({ a: { b: { c: { d: 'e' } } } }, { allowDots: true }), 'a.b.c.d=e'); + expect(stringify({ a: { b: 'c' } }, { allowDots: true })).toBe('a.b=c'); + expect(stringify({ a: { b: { c: { d: 'e' } } } }, { allowDots: true })).toBe('a.b.c.d=e'); + }); + + test('stringifies an array value', function () { + // st.equal( + // stringify({ a: ['b', 'c', 'd'] }, { arrayFormat: 'indices' }), + // 'a%5B0%5D=b&a%5B1%5D=c&a%5B2%5D=d', + // 'indices => indices', + // ); + // st.equal( + // stringify({ a: ['b', 'c', 'd'] }, { arrayFormat: 'brackets' }), + // 'a%5B%5D=b&a%5B%5D=c&a%5B%5D=d', + // 'brackets => brackets', + // ); + // st.equal( + // stringify({ a: ['b', 'c', 'd'] }, { arrayFormat: 'comma' }), + // 'a=b%2Cc%2Cd', + // 'comma => comma', + // ); + // st.equal( + // stringify({ a: ['b', 'c', 'd'] }, { arrayFormat: 'comma', commaRoundTrip: true }), + // 'a=b%2Cc%2Cd', + // 'comma round trip => comma', + // ); + // st.equal( + // stringify({ a: ['b', 'c', 'd'] }), + // 'a%5B0%5D=b&a%5B1%5D=c&a%5B2%5D=d', + // 'default => indices', + // ); + expect(stringify({ a: ['b', 'c', 'd'] }, { arrayFormat: 'indices' })).toBe( + 'a%5B0%5D=b&a%5B1%5D=c&a%5B2%5D=d', + ); + expect(stringify({ a: ['b', 'c', 'd'] }, { arrayFormat: 'brackets' })).toBe( + 'a%5B%5D=b&a%5B%5D=c&a%5B%5D=d', + ); + expect(stringify({ a: ['b', 'c', 'd'] }, { arrayFormat: 'comma' })).toBe('a=b%2Cc%2Cd'); + expect(stringify({ a: ['b', 'c', 'd'] }, { arrayFormat: 'comma', commaRoundTrip: true })).toBe( + 'a=b%2Cc%2Cd', + ); + expect(stringify({ a: ['b', 'c', 'd'] })).toBe('a%5B0%5D=b&a%5B1%5D=c&a%5B2%5D=d'); + }); + + test('`skipNulls` option', function () { + // st.equal( + // stringify({ a: 'b', c: null }, { skipNulls: true }), + // 'a=b', + // 'omits nulls when asked', + // ); + expect(stringify({ a: 'b', c: null }, { skipNulls: true })).toBe('a=b'); + + // st.equal( + // stringify({ a: { b: 'c', d: null } }, { skipNulls: true }), + // 'a%5Bb%5D=c', + // 'omits nested nulls when asked', + // ); + expect(stringify({ a: { b: 'c', d: null } }, { skipNulls: true })).toBe('a%5Bb%5D=c'); + }); + + test('omits array indices when asked', function () { + // st.equal(stringify({ a: ['b', 'c', 'd'] }, { indices: false }), 'a=b&a=c&a=d'); + expect(stringify({ a: ['b', 'c', 'd'] }, { indices: false })).toBe('a=b&a=c&a=d'); + }); + + test('omits object key/value pair when value is empty array', function () { + // st.equal(stringify({ a: [], b: 'zz' }), 'b=zz'); + expect(stringify({ a: [], b: 'zz' })).toBe('b=zz'); + }); + + test('should not omit object key/value pair when value is empty array and when asked', function () { + // st.equal(stringify({ a: [], b: 'zz' }), 'b=zz'); + // st.equal(stringify({ a: [], b: 'zz' }, { allowEmptyArrays: false }), 'b=zz'); + // st.equal(stringify({ a: [], b: 'zz' }, { allowEmptyArrays: true }), 'a[]&b=zz'); + expect(stringify({ a: [], b: 'zz' })).toBe('b=zz'); + expect(stringify({ a: [], b: 'zz' }, { allowEmptyArrays: false })).toBe('b=zz'); + expect(stringify({ a: [], b: 'zz' }, { allowEmptyArrays: true })).toBe('a[]&b=zz'); + }); + + test('should throw when allowEmptyArrays is not of type boolean', function () { + // st['throws'](function () { + // stringify({ a: [], b: 'zz' }, { allowEmptyArrays: 'foobar' }); + // }, TypeError); + expect(() => { + // @ts-expect-error + stringify({ a: [], b: 'zz' }, { allowEmptyArrays: 'foobar' }); + }).toThrow(TypeError); + + // st['throws'](function () { + // stringify({ a: [], b: 'zz' }, { allowEmptyArrays: 0 }); + // }, TypeError); + expect(() => { + // @ts-expect-error + stringify({ a: [], b: 'zz' }, { allowEmptyArrays: 0 }); + }).toThrow(TypeError); + + // st['throws'](function () { + // stringify({ a: [], b: 'zz' }, { allowEmptyArrays: NaN }); + // }, TypeError); + expect(() => { + // @ts-expect-error + stringify({ a: [], b: 'zz' }, { allowEmptyArrays: NaN }); + }).toThrow(TypeError); + + // st['throws'](function () { + // stringify({ a: [], b: 'zz' }, { allowEmptyArrays: null }); + // }, TypeError); + expect(() => { + // @ts-expect-error + stringify({ a: [], b: 'zz' }, { allowEmptyArrays: null }); + }).toThrow(TypeError); + }); + + test('allowEmptyArrays + strictNullHandling', function () { + // st.equal( + // stringify({ testEmptyArray: [] }, { strictNullHandling: true, allowEmptyArrays: true }), + // 'testEmptyArray[]', + // ); + expect(stringify({ testEmptyArray: [] }, { strictNullHandling: true, allowEmptyArrays: true })).toBe( + 'testEmptyArray[]', + ); + }); + + describe('stringifies an array value with one item vs multiple items', function () { + test('non-array item', function () { + // s2t.equal( + // stringify({ a: 'c' }, { encodeValuesOnly: true, arrayFormat: 'indices' }), + // 'a=c', + // ); + // s2t.equal( + // stringify({ a: 'c' }, { encodeValuesOnly: true, arrayFormat: 'brackets' }), + // 'a=c', + // ); + // s2t.equal(stringify({ a: 'c' }, { encodeValuesOnly: true, arrayFormat: 'comma' }), 'a=c'); + // s2t.equal(stringify({ a: 'c' }, { encodeValuesOnly: true }), 'a=c'); + expect(stringify({ a: 'c' }, { encodeValuesOnly: true, arrayFormat: 'indices' })).toBe('a=c'); + expect(stringify({ a: 'c' }, { encodeValuesOnly: true, arrayFormat: 'brackets' })).toBe('a=c'); + expect(stringify({ a: 'c' }, { encodeValuesOnly: true, arrayFormat: 'comma' })).toBe('a=c'); + expect(stringify({ a: 'c' }, { encodeValuesOnly: true })).toBe('a=c'); + }); + + test('array with a single item', function () { + // s2t.equal( + // stringify({ a: ['c'] }, { encodeValuesOnly: true, arrayFormat: 'indices' }), + // 'a[0]=c', + // ); + // s2t.equal( + // stringify({ a: ['c'] }, { encodeValuesOnly: true, arrayFormat: 'brackets' }), + // 'a[]=c', + // ); + // s2t.equal( + // stringify({ a: ['c'] }, { encodeValuesOnly: true, arrayFormat: 'comma' }), + // 'a=c', + // ); + // s2t.equal( + // stringify( + // { a: ['c'] }, + // { encodeValuesOnly: true, arrayFormat: 'comma', commaRoundTrip: true }, + // ), + // 'a[]=c', + // ); // so it parses back as an array + // s2t.equal(stringify({ a: ['c'] }, { encodeValuesOnly: true }), 'a[0]=c'); + expect(stringify({ a: ['c'] }, { encodeValuesOnly: true, arrayFormat: 'indices' })).toBe('a[0]=c'); + expect(stringify({ a: ['c'] }, { encodeValuesOnly: true, arrayFormat: 'brackets' })).toBe('a[]=c'); + expect(stringify({ a: ['c'] }, { encodeValuesOnly: true, arrayFormat: 'comma' })).toBe('a=c'); + expect( + stringify({ a: ['c'] }, { encodeValuesOnly: true, arrayFormat: 'comma', commaRoundTrip: true }), + ).toBe('a[]=c'); + expect(stringify({ a: ['c'] }, { encodeValuesOnly: true })).toBe('a[0]=c'); + }); + + test('array with multiple items', function () { + // s2t.equal( + // stringify({ a: ['c', 'd'] }, { encodeValuesOnly: true, arrayFormat: 'indices' }), + // 'a[0]=c&a[1]=d', + // ); + // s2t.equal( + // stringify({ a: ['c', 'd'] }, { encodeValuesOnly: true, arrayFormat: 'brackets' }), + // 'a[]=c&a[]=d', + // ); + // s2t.equal( + // stringify({ a: ['c', 'd'] }, { encodeValuesOnly: true, arrayFormat: 'comma' }), + // 'a=c,d', + // ); + // s2t.equal( + // stringify( + // { a: ['c', 'd'] }, + // { encodeValuesOnly: true, arrayFormat: 'comma', commaRoundTrip: true }, + // ), + // 'a=c,d', + // ); + // s2t.equal(stringify({ a: ['c', 'd'] }, { encodeValuesOnly: true }), 'a[0]=c&a[1]=d'); + expect(stringify({ a: ['c', 'd'] }, { encodeValuesOnly: true, arrayFormat: 'indices' })).toBe( + 'a[0]=c&a[1]=d', + ); + expect(stringify({ a: ['c', 'd'] }, { encodeValuesOnly: true, arrayFormat: 'brackets' })).toBe( + 'a[]=c&a[]=d', + ); + expect(stringify({ a: ['c', 'd'] }, { encodeValuesOnly: true, arrayFormat: 'comma' })).toBe('a=c,d'); + expect( + stringify({ a: ['c', 'd'] }, { encodeValuesOnly: true, arrayFormat: 'comma', commaRoundTrip: true }), + ).toBe('a=c,d'); + expect(stringify({ a: ['c', 'd'] }, { encodeValuesOnly: true })).toBe('a[0]=c&a[1]=d'); + }); + + test('array with multiple items with a comma inside', function () { + // s2t.equal( + // stringify({ a: ['c,d', 'e'] }, { encodeValuesOnly: true, arrayFormat: 'comma' }), + // 'a=c%2Cd,e', + // ); + // s2t.equal(stringify({ a: ['c,d', 'e'] }, { arrayFormat: 'comma' }), 'a=c%2Cd%2Ce'); + expect(stringify({ a: ['c,d', 'e'] }, { encodeValuesOnly: true, arrayFormat: 'comma' })).toBe( + 'a=c%2Cd,e', + ); + expect(stringify({ a: ['c,d', 'e'] }, { arrayFormat: 'comma' })).toBe('a=c%2Cd%2Ce'); + + // s2t.equal( + // stringify( + // { a: ['c,d', 'e'] }, + // { encodeValuesOnly: true, arrayFormat: 'comma', commaRoundTrip: true }, + // ), + // 'a=c%2Cd,e', + // ); + // s2t.equal( + // stringify({ a: ['c,d', 'e'] }, { arrayFormat: 'comma', commaRoundTrip: true }), + // 'a=c%2Cd%2Ce', + // ); + expect( + stringify( + { a: ['c,d', 'e'] }, + { encodeValuesOnly: true, arrayFormat: 'comma', commaRoundTrip: true }, + ), + ).toBe('a=c%2Cd,e'); + expect(stringify({ a: ['c,d', 'e'] }, { arrayFormat: 'comma', commaRoundTrip: true })).toBe( + 'a=c%2Cd%2Ce', + ); + }); + }); + + test('stringifies a nested array value', function () { + expect(stringify({ a: { b: ['c', 'd'] } }, { encodeValuesOnly: true, arrayFormat: 'indices' })).toBe( + 'a[b][0]=c&a[b][1]=d', + ); + expect(stringify({ a: { b: ['c', 'd'] } }, { encodeValuesOnly: true, arrayFormat: 'brackets' })).toBe( + 'a[b][]=c&a[b][]=d', + ); + expect(stringify({ a: { b: ['c', 'd'] } }, { encodeValuesOnly: true, arrayFormat: 'comma' })).toBe( + 'a[b]=c,d', + ); + expect(stringify({ a: { b: ['c', 'd'] } }, { encodeValuesOnly: true })).toBe('a[b][0]=c&a[b][1]=d'); + }); + + test('stringifies comma and empty array values', function () { + // st.equal( + // stringify({ a: [',', '', 'c,d%'] }, { encode: false, arrayFormat: 'indices' }), + // 'a[0]=,&a[1]=&a[2]=c,d%', + // ); + // st.equal( + // stringify({ a: [',', '', 'c,d%'] }, { encode: false, arrayFormat: 'brackets' }), + // 'a[]=,&a[]=&a[]=c,d%', + // ); + // st.equal( + // stringify({ a: [',', '', 'c,d%'] }, { encode: false, arrayFormat: 'comma' }), + // 'a=,,,c,d%', + // ); + // st.equal( + // stringify({ a: [',', '', 'c,d%'] }, { encode: false, arrayFormat: 'repeat' }), + // 'a=,&a=&a=c,d%', + // ); + expect(stringify({ a: [',', '', 'c,d%'] }, { encode: false, arrayFormat: 'indices' })).toBe( + 'a[0]=,&a[1]=&a[2]=c,d%', + ); + expect(stringify({ a: [',', '', 'c,d%'] }, { encode: false, arrayFormat: 'brackets' })).toBe( + 'a[]=,&a[]=&a[]=c,d%', + ); + expect(stringify({ a: [',', '', 'c,d%'] }, { encode: false, arrayFormat: 'comma' })).toBe('a=,,,c,d%'); + expect(stringify({ a: [',', '', 'c,d%'] }, { encode: false, arrayFormat: 'repeat' })).toBe( + 'a=,&a=&a=c,d%', + ); + + // st.equal( + // stringify( + // { a: [',', '', 'c,d%'] }, + // { encode: true, encodeValuesOnly: true, arrayFormat: 'indices' }, + // ), + // 'a[0]=%2C&a[1]=&a[2]=c%2Cd%25', + // ); + // st.equal( + // stringify( + // { a: [',', '', 'c,d%'] }, + // { encode: true, encodeValuesOnly: true, arrayFormat: 'brackets' }, + // ), + // 'a[]=%2C&a[]=&a[]=c%2Cd%25', + // ); + // st.equal( + // stringify( + // { a: [',', '', 'c,d%'] }, + // { encode: true, encodeValuesOnly: true, arrayFormat: 'comma' }, + // ), + // 'a=%2C,,c%2Cd%25', + // ); + // st.equal( + // stringify( + // { a: [',', '', 'c,d%'] }, + // { encode: true, encodeValuesOnly: true, arrayFormat: 'repeat' }, + // ), + // 'a=%2C&a=&a=c%2Cd%25', + // ); + expect( + stringify({ a: [',', '', 'c,d%'] }, { encode: true, encodeValuesOnly: false, arrayFormat: 'indices' }), + ).toBe('a%5B0%5D=%2C&a%5B1%5D=&a%5B2%5D=c%2Cd%25'); + expect( + stringify({ a: [',', '', 'c,d%'] }, { encode: true, encodeValuesOnly: true, arrayFormat: 'brackets' }), + ).toBe('a[]=%2C&a[]=&a[]=c%2Cd%25'); + expect( + stringify({ a: [',', '', 'c,d%'] }, { encode: true, encodeValuesOnly: false, arrayFormat: 'comma' }), + ).toBe('a=%2C%2C%2Cc%2Cd%25'); + expect( + stringify({ a: [',', '', 'c,d%'] }, { encode: true, encodeValuesOnly: false, arrayFormat: 'repeat' }), + ).toBe('a=%2C&a=&a=c%2Cd%25'); + + // st.equal( + // stringify( + // { a: [',', '', 'c,d%'] }, + // { encode: true, encodeValuesOnly: false, arrayFormat: 'indices' }, + // ), + // 'a%5B0%5D=%2C&a%5B1%5D=&a%5B2%5D=c%2Cd%25', + // ); + // st.equal( + // stringify( + // { a: [',', '', 'c,d%'] }, + // { encode: true, encodeValuesOnly: false, arrayFormat: 'brackets' }, + // ), + // 'a%5B%5D=%2C&a%5B%5D=&a%5B%5D=c%2Cd%25', + // ); + // st.equal( + // stringify( + // { a: [',', '', 'c,d%'] }, + // { encode: true, encodeValuesOnly: false, arrayFormat: 'comma' }, + // ), + // 'a=%2C%2C%2Cc%2Cd%25', + // ); + // st.equal( + // stringify( + // { a: [',', '', 'c,d%'] }, + // { encode: true, encodeValuesOnly: false, arrayFormat: 'repeat' }, + // ), + // 'a=%2C&a=&a=c%2Cd%25', + // ); + expect( + stringify({ a: [',', '', 'c,d%'] }, { encode: true, encodeValuesOnly: false, arrayFormat: 'repeat' }), + ).toBe('a=%2C&a=&a=c%2Cd%25'); + expect( + stringify({ a: [',', '', 'c,d%'] }, { encode: true, encodeValuesOnly: false, arrayFormat: 'indices' }), + ).toBe('a%5B0%5D=%2C&a%5B1%5D=&a%5B2%5D=c%2Cd%25'); + expect( + stringify({ a: [',', '', 'c,d%'] }, { encode: true, encodeValuesOnly: true, arrayFormat: 'brackets' }), + ).toBe('a[]=%2C&a[]=&a[]=c%2Cd%25'); + expect( + stringify({ a: [',', '', 'c,d%'] }, { encode: true, encodeValuesOnly: false, arrayFormat: 'comma' }), + ).toBe('a=%2C%2C%2Cc%2Cd%25'); + expect( + stringify({ a: [',', '', 'c,d%'] }, { encode: true, encodeValuesOnly: false, arrayFormat: 'repeat' }), + ).toBe('a=%2C&a=&a=c%2Cd%25'); + }); + + test('stringifies comma and empty non-array values', function () { + // st.equal( + // stringify({ a: ',', b: '', c: 'c,d%' }, { encode: false, arrayFormat: 'indices' }), + // 'a=,&b=&c=c,d%', + // ); + // st.equal( + // stringify({ a: ',', b: '', c: 'c,d%' }, { encode: false, arrayFormat: 'brackets' }), + // 'a=,&b=&c=c,d%', + // ); + // st.equal( + // stringify({ a: ',', b: '', c: 'c,d%' }, { encode: false, arrayFormat: 'comma' }), + // 'a=,&b=&c=c,d%', + // ); + // st.equal( + // stringify({ a: ',', b: '', c: 'c,d%' }, { encode: false, arrayFormat: 'repeat' }), + // 'a=,&b=&c=c,d%', + // ); + expect(stringify({ a: ',', b: '', c: 'c,d%' }, { encode: false, arrayFormat: 'indices' })).toBe( + 'a=,&b=&c=c,d%', + ); + expect(stringify({ a: ',', b: '', c: 'c,d%' }, { encode: false, arrayFormat: 'brackets' })).toBe( + 'a=,&b=&c=c,d%', + ); + + // st.equal( + // stringify( + // { a: ',', b: '', c: 'c,d%' }, + // { encode: true, encodeValuesOnly: true, arrayFormat: 'indices' }, + // ), + // 'a=%2C&b=&c=c%2Cd%25', + // ); + // st.equal( + // stringify( + // { a: ',', b: '', c: 'c,d%' }, + // { encode: true, encodeValuesOnly: true, arrayFormat: 'brackets' }, + // ), + // 'a=%2C&b=&c=c%2Cd%25', + // ); + // st.equal( + // stringify( + // { a: ',', b: '', c: 'c,d%' }, + // { encode: true, encodeValuesOnly: true, arrayFormat: 'comma' }, + // ), + // 'a=%2C&b=&c=c%2Cd%25', + // ); + // st.equal( + // stringify( + // { a: ',', b: '', c: 'c,d%' }, + // { encode: true, encodeValuesOnly: true, arrayFormat: 'repeat' }, + // ), + // 'a=%2C&b=&c=c%2Cd%25', + // ); + expect( + stringify( + { a: ',', b: '', c: 'c,d%' }, + { encode: true, encodeValuesOnly: true, arrayFormat: 'indices' }, + ), + ).toBe('a=%2C&b=&c=c%2Cd%25'); + expect( + stringify( + { a: ',', b: '', c: 'c,d%' }, + { encode: true, encodeValuesOnly: true, arrayFormat: 'brackets' }, + ), + ).toBe('a=%2C&b=&c=c%2Cd%25'); + expect( + stringify({ a: ',', b: '', c: 'c,d%' }, { encode: true, encodeValuesOnly: true, arrayFormat: 'comma' }), + ).toBe('a=%2C&b=&c=c%2Cd%25'); + expect( + stringify( + { a: ',', b: '', c: 'c,d%' }, + { encode: true, encodeValuesOnly: true, arrayFormat: 'repeat' }, + ), + ).toBe('a=%2C&b=&c=c%2Cd%25'); + + // st.equal( + // stringify( + // { a: ',', b: '', c: 'c,d%' }, + // { encode: true, encodeValuesOnly: false, arrayFormat: 'indices' }, + // ), + // 'a=%2C&b=&c=c%2Cd%25', + // ); + // st.equal( + // stringify( + // { a: ',', b: '', c: 'c,d%' }, + // { encode: true, encodeValuesOnly: false, arrayFormat: 'brackets' }, + // ), + // 'a=%2C&b=&c=c%2Cd%25', + // ); + // st.equal( + // stringify( + // { a: ',', b: '', c: 'c,d%' }, + // { encode: true, encodeValuesOnly: false, arrayFormat: 'comma' }, + // ), + // 'a=%2C&b=&c=c%2Cd%25', + // ); + // st.equal( + // stringify( + // { a: ',', b: '', c: 'c,d%' }, + // { encode: true, encodeValuesOnly: false, arrayFormat: 'repeat' }, + // ), + // 'a=%2C&b=&c=c%2Cd%25', + // ); + expect( + stringify( + { a: ',', b: '', c: 'c,d%' }, + { encode: true, encodeValuesOnly: false, arrayFormat: 'indices' }, + ), + ).toBe('a=%2C&b=&c=c%2Cd%25'); + expect( + stringify( + { a: ',', b: '', c: 'c,d%' }, + { encode: true, encodeValuesOnly: false, arrayFormat: 'brackets' }, + ), + ).toBe('a=%2C&b=&c=c%2Cd%25'); + expect( + stringify( + { a: ',', b: '', c: 'c,d%' }, + { encode: true, encodeValuesOnly: false, arrayFormat: 'comma' }, + ), + ).toBe('a=%2C&b=&c=c%2Cd%25'); + expect( + stringify( + { a: ',', b: '', c: 'c,d%' }, + { encode: true, encodeValuesOnly: false, arrayFormat: 'repeat' }, + ), + ).toBe('a=%2C&b=&c=c%2Cd%25'); + }); + + test('stringifies a nested array value with dots notation', function () { + // st.equal( + // stringify( + // { a: { b: ['c', 'd'] } }, + // { allowDots: true, encodeValuesOnly: true, arrayFormat: 'indices' }, + // ), + // 'a.b[0]=c&a.b[1]=d', + // 'indices: stringifies with dots + indices', + // ); + // st.equal( + // stringify( + // { a: { b: ['c', 'd'] } }, + // { allowDots: true, encodeValuesOnly: true, arrayFormat: 'brackets' }, + // ), + // 'a.b[]=c&a.b[]=d', + // 'brackets: stringifies with dots + brackets', + // ); + // st.equal( + // stringify( + // { a: { b: ['c', 'd'] } }, + // { allowDots: true, encodeValuesOnly: true, arrayFormat: 'comma' }, + // ), + // 'a.b=c,d', + // 'comma: stringifies with dots + comma', + // ); + // st.equal( + // stringify({ a: { b: ['c', 'd'] } }, { allowDots: true, encodeValuesOnly: true }), + // 'a.b[0]=c&a.b[1]=d', + // 'default: stringifies with dots + indices', + // ); + expect( + stringify( + { a: { b: ['c', 'd'] } }, + { allowDots: true, encodeValuesOnly: true, arrayFormat: 'indices' }, + ), + ).toBe('a.b[0]=c&a.b[1]=d'); + expect( + stringify( + { a: { b: ['c', 'd'] } }, + { allowDots: true, encodeValuesOnly: true, arrayFormat: 'brackets' }, + ), + ).toBe('a.b[]=c&a.b[]=d'); + expect( + stringify({ a: { b: ['c', 'd'] } }, { allowDots: true, encodeValuesOnly: true, arrayFormat: 'comma' }), + ).toBe('a.b=c,d'); + expect(stringify({ a: { b: ['c', 'd'] } }, { allowDots: true, encodeValuesOnly: true })).toBe( + 'a.b[0]=c&a.b[1]=d', + ); + }); + + test('stringifies an object inside an array', function () { + // st.equal( + // stringify({ a: [{ b: 'c' }] }, { arrayFormat: 'indices', encodeValuesOnly: true }), + // 'a[0][b]=c', + // 'indices => indices', + // ); + // st.equal( + // stringify({ a: [{ b: 'c' }] }, { arrayFormat: 'repeat', encodeValuesOnly: true }), + // 'a[b]=c', + // 'repeat => repeat', + // ); + // st.equal( + // stringify({ a: [{ b: 'c' }] }, { arrayFormat: 'brackets', encodeValuesOnly: true }), + // 'a[][b]=c', + // 'brackets => brackets', + // ); + // st.equal( + // stringify({ a: [{ b: 'c' }] }, { encodeValuesOnly: true }), + // 'a[0][b]=c', + // 'default => indices', + // ); + expect(stringify({ a: [{ b: 'c' }] }, { arrayFormat: 'indices', encodeValuesOnly: true })).toBe( + 'a[0][b]=c', + ); + expect(stringify({ a: [{ b: 'c' }] }, { arrayFormat: 'repeat', encodeValuesOnly: true })).toBe('a[b]=c'); + expect(stringify({ a: [{ b: 'c' }] }, { arrayFormat: 'brackets', encodeValuesOnly: true })).toBe( + 'a[][b]=c', + ); + expect(stringify({ a: [{ b: 'c' }] }, { encodeValuesOnly: true })).toBe('a[0][b]=c'); + + // st.equal( + // stringify({ a: [{ b: { c: [1] } }] }, { arrayFormat: 'indices', encodeValuesOnly: true }), + // 'a[0][b][c][0]=1', + // 'indices => indices', + // ); + // st.equal( + // stringify({ a: [{ b: { c: [1] } }] }, { arrayFormat: 'repeat', encodeValuesOnly: true }), + // 'a[b][c]=1', + // 'repeat => repeat', + // ); + // st.equal( + // stringify({ a: [{ b: { c: [1] } }] }, { arrayFormat: 'brackets', encodeValuesOnly: true }), + // 'a[][b][c][]=1', + // 'brackets => brackets', + // ); + // st.equal( + // stringify({ a: [{ b: { c: [1] } }] }, { encodeValuesOnly: true }), + // 'a[0][b][c][0]=1', + // 'default => indices', + // ); + expect(stringify({ a: [{ b: { c: [1] } }] }, { arrayFormat: 'indices', encodeValuesOnly: true })).toBe( + 'a[0][b][c][0]=1', + ); + expect(stringify({ a: [{ b: { c: [1] } }] }, { arrayFormat: 'repeat', encodeValuesOnly: true })).toBe( + 'a[b][c]=1', + ); + expect(stringify({ a: [{ b: { c: [1] } }] }, { arrayFormat: 'brackets', encodeValuesOnly: true })).toBe( + 'a[][b][c][]=1', + ); + expect(stringify({ a: [{ b: { c: [1] } }] }, { encodeValuesOnly: true })).toBe('a[0][b][c][0]=1'); + }); + + test('stringifies an array with mixed objects and primitives', function () { + // st.equal( + // stringify({ a: [{ b: 1 }, 2, 3] }, { encodeValuesOnly: true, arrayFormat: 'indices' }), + // 'a[0][b]=1&a[1]=2&a[2]=3', + // 'indices => indices', + // ); + // st.equal( + // stringify({ a: [{ b: 1 }, 2, 3] }, { encodeValuesOnly: true, arrayFormat: 'brackets' }), + // 'a[][b]=1&a[]=2&a[]=3', + // 'brackets => brackets', + // ); + // st.equal( + // stringify({ a: [{ b: 1 }, 2, 3] }, { encodeValuesOnly: true, arrayFormat: 'comma' }), + // '???', + // 'brackets => brackets', + // { skip: 'TODO: figure out what this should do' }, + // ); + // st.equal( + // stringify({ a: [{ b: 1 }, 2, 3] }, { encodeValuesOnly: true }), + // 'a[0][b]=1&a[1]=2&a[2]=3', + // 'default => indices', + // ); + expect(stringify({ a: [{ b: 1 }, 2, 3] }, { encodeValuesOnly: true, arrayFormat: 'indices' })).toBe( + 'a[0][b]=1&a[1]=2&a[2]=3', + ); + expect(stringify({ a: [{ b: 1 }, 2, 3] }, { encodeValuesOnly: true, arrayFormat: 'brackets' })).toBe( + 'a[][b]=1&a[]=2&a[]=3', + ); + // !Skipped: Figure out what this should do + // expect( + // stringify({ a: [{ b: 1 }, 2, 3] }, { encodeValuesOnly: true, arrayFormat: 'comma' }), + // ).toBe('???'); + expect(stringify({ a: [{ b: 1 }, 2, 3] }, { encodeValuesOnly: true })).toBe('a[0][b]=1&a[1]=2&a[2]=3'); + }); + + test('stringifies an object inside an array with dots notation', function () { + // st.equal( + // stringify({ a: [{ b: 'c' }] }, { allowDots: true, encode: false, arrayFormat: 'indices' }), + // 'a[0].b=c', + // 'indices => indices', + // ); + // st.equal( + // stringify( + // { a: [{ b: 'c' }] }, + // { allowDots: true, encode: false, arrayFormat: 'brackets' }, + // ), + // 'a[].b=c', + // 'brackets => brackets', + // ); + // st.equal( + // stringify({ a: [{ b: 'c' }] }, { allowDots: true, encode: false }), + // 'a[0].b=c', + // 'default => indices', + // ); + expect(stringify({ a: [{ b: 'c' }] }, { allowDots: true, encode: false, arrayFormat: 'indices' })).toBe( + 'a[0].b=c', + ); + expect(stringify({ a: [{ b: 'c' }] }, { allowDots: true, encode: false, arrayFormat: 'brackets' })).toBe( + 'a[].b=c', + ); + expect(stringify({ a: [{ b: 'c' }] }, { allowDots: true, encode: false })).toBe('a[0].b=c'); + + // st.equal( + // stringify( + // { a: [{ b: { c: [1] } }] }, + // { allowDots: true, encode: false, arrayFormat: 'indices' }, + // ), + // 'a[0].b.c[0]=1', + // 'indices => indices', + // ); + // st.equal( + // stringify( + // { a: [{ b: { c: [1] } }] }, + // { allowDots: true, encode: false, arrayFormat: 'brackets' }, + // ), + // 'a[].b.c[]=1', + // 'brackets => brackets', + // ); + // st.equal( + // stringify({ a: [{ b: { c: [1] } }] }, { allowDots: true, encode: false }), + // 'a[0].b.c[0]=1', + // 'default => indices', + // ); + expect( + stringify({ a: [{ b: { c: [1] } }] }, { allowDots: true, encode: false, arrayFormat: 'indices' }), + ).toBe('a[0].b.c[0]=1'); + expect( + stringify({ a: [{ b: { c: [1] } }] }, { allowDots: true, encode: false, arrayFormat: 'brackets' }), + ).toBe('a[].b.c[]=1'); + expect(stringify({ a: [{ b: { c: [1] } }] }, { allowDots: true, encode: false })).toBe('a[0].b.c[0]=1'); + }); + + test('does not omit object keys when indices = false', function () { + // st.equal(stringify({ a: [{ b: 'c' }] }, { indices: false }), 'a%5Bb%5D=c'); + expect(stringify({ a: [{ b: 'c' }] }, { indices: false })).toBe('a%5Bb%5D=c'); + }); + + test('uses indices notation for arrays when indices=true', function () { + // st.equal(stringify({ a: ['b', 'c'] }, { indices: true }), 'a%5B0%5D=b&a%5B1%5D=c'); + expect(stringify({ a: ['b', 'c'] }, { indices: true })).toBe('a%5B0%5D=b&a%5B1%5D=c'); + }); + + test('uses indices notation for arrays when no arrayFormat is specified', function () { + // st.equal(stringify({ a: ['b', 'c'] }), 'a%5B0%5D=b&a%5B1%5D=c'); + expect(stringify({ a: ['b', 'c'] })).toBe('a%5B0%5D=b&a%5B1%5D=c'); + }); + + test('uses indices notation for arrays when arrayFormat=indices', function () { + // st.equal(stringify({ a: ['b', 'c'] }, { arrayFormat: 'indices' }), 'a%5B0%5D=b&a%5B1%5D=c'); + expect(stringify({ a: ['b', 'c'] }, { arrayFormat: 'indices' })).toBe('a%5B0%5D=b&a%5B1%5D=c'); + }); + + test('uses repeat notation for arrays when arrayFormat=repeat', function () { + // st.equal(stringify({ a: ['b', 'c'] }, { arrayFormat: 'repeat' }), 'a=b&a=c'); + expect(stringify({ a: ['b', 'c'] }, { arrayFormat: 'repeat' })).toBe('a=b&a=c'); + }); + + test('uses brackets notation for arrays when arrayFormat=brackets', function () { + // st.equal(stringify({ a: ['b', 'c'] }, { arrayFormat: 'brackets' }), 'a%5B%5D=b&a%5B%5D=c'); + expect(stringify({ a: ['b', 'c'] }, { arrayFormat: 'brackets' })).toBe('a%5B%5D=b&a%5B%5D=c'); + }); + + test('stringifies a complicated object', function () { + // st.equal(stringify({ a: { b: 'c', d: 'e' } }), 'a%5Bb%5D=c&a%5Bd%5D=e'); + expect(stringify({ a: { b: 'c', d: 'e' } })).toBe('a%5Bb%5D=c&a%5Bd%5D=e'); + }); + + test('stringifies an empty value', function () { + // st.equal(stringify({ a: '' }), 'a='); + // st.equal(stringify({ a: null }, { strictNullHandling: true }), 'a'); + expect(stringify({ a: '' })).toBe('a='); + expect(stringify({ a: null }, { strictNullHandling: true })).toBe('a'); + + // st.equal(stringify({ a: '', b: '' }), 'a=&b='); + // st.equal(stringify({ a: null, b: '' }, { strictNullHandling: true }), 'a&b='); + expect(stringify({ a: '', b: '' })).toBe('a=&b='); + expect(stringify({ a: null, b: '' }, { strictNullHandling: true })).toBe('a&b='); + + // st.equal(stringify({ a: { b: '' } }), 'a%5Bb%5D='); + // st.equal(stringify({ a: { b: null } }, { strictNullHandling: true }), 'a%5Bb%5D'); + // st.equal(stringify({ a: { b: null } }, { strictNullHandling: false }), 'a%5Bb%5D='); + expect(stringify({ a: { b: '' } })).toBe('a%5Bb%5D='); + expect(stringify({ a: { b: null } }, { strictNullHandling: true })).toBe('a%5Bb%5D'); + expect(stringify({ a: { b: null } }, { strictNullHandling: false })).toBe('a%5Bb%5D='); + }); + + test('stringifies an empty array in different arrayFormat', function () { + // st.equal(stringify({ a: [], b: [null], c: 'c' }, { encode: false }), 'b[0]=&c=c'); + expect(stringify({ a: [], b: [null], c: 'c' }, { encode: false })).toBe('b[0]=&c=c'); + // arrayFormat default + // st.equal( + // stringify({ a: [], b: [null], c: 'c' }, { encode: false, arrayFormat: 'indices' }), + // 'b[0]=&c=c', + // ); + // st.equal( + // stringify({ a: [], b: [null], c: 'c' }, { encode: false, arrayFormat: 'brackets' }), + // 'b[]=&c=c', + // ); + // st.equal( + // stringify({ a: [], b: [null], c: 'c' }, { encode: false, arrayFormat: 'repeat' }), + // 'b=&c=c', + // ); + // st.equal( + // stringify({ a: [], b: [null], c: 'c' }, { encode: false, arrayFormat: 'comma' }), + // 'b=&c=c', + // ); + // st.equal( + // stringify( + // { a: [], b: [null], c: 'c' }, + // { encode: false, arrayFormat: 'comma', commaRoundTrip: true }, + // ), + // 'b[]=&c=c', + // ); + expect(stringify({ a: [], b: [null], c: 'c' }, { encode: false, arrayFormat: 'indices' })).toBe( + 'b[0]=&c=c', + ); + expect(stringify({ a: [], b: [null], c: 'c' }, { encode: false, arrayFormat: 'brackets' })).toBe( + 'b[]=&c=c', + ); + expect(stringify({ a: [], b: [null], c: 'c' }, { encode: false, arrayFormat: 'repeat' })).toBe('b=&c=c'); + expect(stringify({ a: [], b: [null], c: 'c' }, { encode: false, arrayFormat: 'comma' })).toBe('b=&c=c'); + expect( + stringify({ a: [], b: [null], c: 'c' }, { encode: false, arrayFormat: 'comma', commaRoundTrip: true }), + ).toBe('b[]=&c=c'); + + // with strictNullHandling + // st.equal( + // stringify( + // { a: [], b: [null], c: 'c' }, + // { encode: false, arrayFormat: 'indices', strictNullHandling: true }, + // ), + // 'b[0]&c=c', + // ); + // st.equal( + // stringify( + // { a: [], b: [null], c: 'c' }, + // { encode: false, arrayFormat: 'brackets', strictNullHandling: true }, + // ), + // 'b[]&c=c', + // ); + // st.equal( + // stringify( + // { a: [], b: [null], c: 'c' }, + // { encode: false, arrayFormat: 'repeat', strictNullHandling: true }, + // ), + // 'b&c=c', + // ); + // st.equal( + // stringify( + // { a: [], b: [null], c: 'c' }, + // { encode: false, arrayFormat: 'comma', strictNullHandling: true }, + // ), + // 'b&c=c', + // ); + // st.equal( + // stringify( + // { a: [], b: [null], c: 'c' }, + // { encode: false, arrayFormat: 'comma', strictNullHandling: true, commaRoundTrip: true }, + // ), + // 'b[]&c=c', + // ); + + expect( + stringify( + { a: [], b: [null], c: 'c' }, + { encode: false, arrayFormat: 'indices', strictNullHandling: true }, + ), + ).toBe('b[0]&c=c'); + expect( + stringify( + { a: [], b: [null], c: 'c' }, + { encode: false, arrayFormat: 'brackets', strictNullHandling: true }, + ), + ).toBe('b[]&c=c'); + expect( + stringify( + { a: [], b: [null], c: 'c' }, + { encode: false, arrayFormat: 'repeat', strictNullHandling: true }, + ), + ).toBe('b&c=c'); + expect( + stringify( + { a: [], b: [null], c: 'c' }, + { encode: false, arrayFormat: 'comma', strictNullHandling: true }, + ), + ).toBe('b&c=c'); + expect( + stringify( + { a: [], b: [null], c: 'c' }, + { encode: false, arrayFormat: 'comma', strictNullHandling: true, commaRoundTrip: true }, + ), + ).toBe('b[]&c=c'); + + // with skipNulls + // st.equal( + // stringify( + // { a: [], b: [null], c: 'c' }, + // { encode: false, arrayFormat: 'indices', skipNulls: true }, + // ), + // 'c=c', + // ); + // st.equal( + // stringify( + // { a: [], b: [null], c: 'c' }, + // { encode: false, arrayFormat: 'brackets', skipNulls: true }, + // ), + // 'c=c', + // ); + // st.equal( + // stringify( + // { a: [], b: [null], c: 'c' }, + // { encode: false, arrayFormat: 'repeat', skipNulls: true }, + // ), + // 'c=c', + // ); + // st.equal( + // stringify( + // { a: [], b: [null], c: 'c' }, + // { encode: false, arrayFormat: 'comma', skipNulls: true }, + // ), + // 'c=c', + // ); + expect( + stringify({ a: [], b: [null], c: 'c' }, { encode: false, arrayFormat: 'indices', skipNulls: true }), + ).toBe('c=c'); + expect( + stringify({ a: [], b: [null], c: 'c' }, { encode: false, arrayFormat: 'brackets', skipNulls: true }), + ).toBe('c=c'); + expect( + stringify({ a: [], b: [null], c: 'c' }, { encode: false, arrayFormat: 'repeat', skipNulls: true }), + ).toBe('c=c'); + expect( + stringify({ a: [], b: [null], c: 'c' }, { encode: false, arrayFormat: 'comma', skipNulls: true }), + ).toBe('c=c'); + }); + + test('stringifies a null object', function () { + var obj = Object.create(null); + obj.a = 'b'; + // st.equal(stringify(obj), 'a=b'); + expect(stringify(obj)).toBe('a=b'); + }); + + test('returns an empty string for invalid input', function () { + // st.equal(stringify(undefined), ''); + // st.equal(stringify(false), ''); + // st.equal(stringify(null), ''); + // st.equal(stringify(''), ''); + expect(stringify(undefined)).toBe(''); + expect(stringify(false)).toBe(''); + expect(stringify(null)).toBe(''); + expect(stringify('')).toBe(''); + }); + + test('stringifies an object with a null object as a child', function () { + var obj = { a: Object.create(null) }; + + obj.a.b = 'c'; + // st.equal(stringify(obj), 'a%5Bb%5D=c'); + expect(stringify(obj)).toBe('a%5Bb%5D=c'); + }); + + test('drops keys with a value of undefined', function () { + // st.equal(stringify({ a: undefined }), ''); + expect(stringify({ a: undefined })).toBe(''); + + // st.equal( + // stringify({ a: { b: undefined, c: null } }, { strictNullHandling: true }), + // 'a%5Bc%5D', + // ); + // st.equal( + // stringify({ a: { b: undefined, c: null } }, { strictNullHandling: false }), + // 'a%5Bc%5D=', + // ); + // st.equal(stringify({ a: { b: undefined, c: '' } }), 'a%5Bc%5D='); + expect(stringify({ a: { b: undefined, c: null } }, { strictNullHandling: true })).toBe('a%5Bc%5D'); + expect(stringify({ a: { b: undefined, c: null } }, { strictNullHandling: false })).toBe('a%5Bc%5D='); + expect(stringify({ a: { b: undefined, c: '' } })).toBe('a%5Bc%5D='); + }); + + test('url encodes values', function () { + // st.equal(stringify({ a: 'b c' }), 'a=b%20c'); + expect(stringify({ a: 'b c' })).toBe('a=b%20c'); + }); + + test('stringifies a date', function () { + var now = new Date(); + var str = 'a=' + encodeURIComponent(now.toISOString()); + // st.equal(stringify({ a: now }), str); + expect(stringify({ a: now })).toBe(str); + }); + + test('stringifies the weird object from qs', function () { + // st.equal( + // stringify({ 'my weird field': '~q1!2"\'w$5&7/z8)?' }), + // 'my%20weird%20field=~q1%212%22%27w%245%267%2Fz8%29%3F', + // ); + expect(stringify({ 'my weird field': '~q1!2"\'w$5&7/z8)?' })).toBe( + 'my%20weird%20field=~q1%212%22%27w%245%267%2Fz8%29%3F', + ); + }); + + // TODO: Investigate how to to intercept in vitest + // TODO(rob) + test('skips properties that are part of the object prototype', function () { + // st.intercept(Object.prototype, 'crash', { value: 'test' }); + // @ts-expect-error + Object.prototype.crash = 'test'; + + // st.equal(stringify({ a: 'b' }), 'a=b'); + // st.equal(stringify({ a: { b: 'c' } }), 'a%5Bb%5D=c'); + expect(stringify({ a: 'b' })).toBe('a=b'); + expect(stringify({ a: { b: 'c' } })).toBe('a%5Bb%5D=c'); + }); + + test('stringifies boolean values', function () { + // st.equal(stringify({ a: true }), 'a=true'); + // st.equal(stringify({ a: { b: true } }), 'a%5Bb%5D=true'); + // st.equal(stringify({ b: false }), 'b=false'); + // st.equal(stringify({ b: { c: false } }), 'b%5Bc%5D=false'); + expect(stringify({ a: true })).toBe('a=true'); + expect(stringify({ a: { b: true } })).toBe('a%5Bb%5D=true'); + expect(stringify({ b: false })).toBe('b=false'); + expect(stringify({ b: { c: false } })).toBe('b%5Bc%5D=false'); + }); + + test('stringifies buffer values', function () { + // st.equal(stringify({ a: Buffer.from('test') }), 'a=test'); + // st.equal(stringify({ a: { b: Buffer.from('test') } }), 'a%5Bb%5D=test'); + }); + + test('stringifies an object using an alternative delimiter', function () { + // st.equal(stringify({ a: 'b', c: 'd' }, { delimiter: ';' }), 'a=b;c=d'); + expect(stringify({ a: 'b', c: 'd' }, { delimiter: ';' })).toBe('a=b;c=d'); + }); + + // We dont target environments which dont even have Buffer + // test('does not blow up when Buffer global is missing', function () { + // var restore = mockProperty(global, 'Buffer', { delete: true }); + + // var result = stringify({ a: 'b', c: 'd' }); + + // restore(); + + // st.equal(result, 'a=b&c=d'); + // st.end(); + // }); + + test('does not crash when parsing circular references', function () { + var a: any = {}; + a.b = a; + + // st['throws']( + // function () { + // stringify({ 'foo[bar]': 'baz', 'foo[baz]': a }); + // }, + // /RangeError: Cyclic object value/, + // 'cyclic values throw', + // ); + expect(() => { + stringify({ 'foo[bar]': 'baz', 'foo[baz]': a }); + }).toThrow('Cyclic object value'); + + var circular: any = { + a: 'value', + }; + circular.a = circular; + // st['throws']( + // function () { + // stringify(circular); + // }, + // /RangeError: Cyclic object value/, + // 'cyclic values throw', + // ); + expect(() => { + stringify(circular); + }).toThrow('Cyclic object value'); + + var arr = ['a']; + // st.doesNotThrow(function () { + // stringify({ x: arr, y: arr }); + // }, 'non-cyclic values do not throw'); + expect(() => { + stringify({ x: arr, y: arr }); + }).not.toThrow(); + }); + + test('non-circular duplicated references can still work', function () { + var hourOfDay = { + function: 'hour_of_day', + }; + + var p1 = { + function: 'gte', + arguments: [hourOfDay, 0], + }; + var p2 = { + function: 'lte', + arguments: [hourOfDay, 23], + }; + + // st.equal( + // stringify( + // { filters: { $and: [p1, p2] } }, + // { encodeValuesOnly: true, arrayFormat: 'indices' }, + // ), + // 'filters[$and][0][function]=gte&filters[$and][0][arguments][0][function]=hour_of_day&filters[$and][0][arguments][1]=0&filters[$and][1][function]=lte&filters[$and][1][arguments][0][function]=hour_of_day&filters[$and][1][arguments][1]=23', + // ); + // st.equal( + // stringify( + // { filters: { $and: [p1, p2] } }, + // { encodeValuesOnly: true, arrayFormat: 'brackets' }, + // ), + // 'filters[$and][][function]=gte&filters[$and][][arguments][][function]=hour_of_day&filters[$and][][arguments][]=0&filters[$and][][function]=lte&filters[$and][][arguments][][function]=hour_of_day&filters[$and][][arguments][]=23', + // ); + // st.equal( + // stringify( + // { filters: { $and: [p1, p2] } }, + // { encodeValuesOnly: true, arrayFormat: 'repeat' }, + // ), + // 'filters[$and][function]=gte&filters[$and][arguments][function]=hour_of_day&filters[$and][arguments]=0&filters[$and][function]=lte&filters[$and][arguments][function]=hour_of_day&filters[$and][arguments]=23', + // ); + expect( + stringify({ filters: { $and: [p1, p2] } }, { encodeValuesOnly: true, arrayFormat: 'indices' }), + ).toBe( + 'filters[$and][0][function]=gte&filters[$and][0][arguments][0][function]=hour_of_day&filters[$and][0][arguments][1]=0&filters[$and][1][function]=lte&filters[$and][1][arguments][0][function]=hour_of_day&filters[$and][1][arguments][1]=23', + ); + expect( + stringify({ filters: { $and: [p1, p2] } }, { encodeValuesOnly: true, arrayFormat: 'brackets' }), + ).toBe( + 'filters[$and][][function]=gte&filters[$and][][arguments][][function]=hour_of_day&filters[$and][][arguments][]=0&filters[$and][][function]=lte&filters[$and][][arguments][][function]=hour_of_day&filters[$and][][arguments][]=23', + ); + expect( + stringify({ filters: { $and: [p1, p2] } }, { encodeValuesOnly: true, arrayFormat: 'repeat' }), + ).toBe( + 'filters[$and][function]=gte&filters[$and][arguments][function]=hour_of_day&filters[$and][arguments]=0&filters[$and][function]=lte&filters[$and][arguments][function]=hour_of_day&filters[$and][arguments]=23', + ); + }); + + test('selects properties when filter=array', function () { + // st.equal(stringify({ a: 'b' }, { filter: ['a'] }), 'a=b'); + // st.equal(stringify({ a: 1 }, { filter: [] }), ''); + expect(stringify({ a: 'b' }, { filter: ['a'] })).toBe('a=b'); + expect(stringify({ a: 1 }, { filter: [] })).toBe(''); + + // st.equal( + // stringify( + // { a: { b: [1, 2, 3, 4], c: 'd' }, c: 'f' }, + // { filter: ['a', 'b', 0, 2], arrayFormat: 'indices' }, + // ), + // 'a%5Bb%5D%5B0%5D=1&a%5Bb%5D%5B2%5D=3', + // 'indices => indices', + // ); + // st.equal( + // stringify( + // { a: { b: [1, 2, 3, 4], c: 'd' }, c: 'f' }, + // { filter: ['a', 'b', 0, 2], arrayFormat: 'brackets' }, + // ), + // 'a%5Bb%5D%5B%5D=1&a%5Bb%5D%5B%5D=3', + // 'brackets => brackets', + // ); + // st.equal( + // stringify({ a: { b: [1, 2, 3, 4], c: 'd' }, c: 'f' }, { filter: ['a', 'b', 0, 2] }), + // 'a%5Bb%5D%5B0%5D=1&a%5Bb%5D%5B2%5D=3', + // 'default => indices', + // ); + expect(stringify({ a: { b: [1, 2, 3, 4], c: 'd' }, c: 'f' }, { filter: ['a', 'b', 0, 2] })).toBe( + 'a%5Bb%5D%5B0%5D=1&a%5Bb%5D%5B2%5D=3', + ); + expect( + stringify( + { a: { b: [1, 2, 3, 4], c: 'd' }, c: 'f' }, + { filter: ['a', 'b', 0, 2], arrayFormat: 'indices' }, + ), + ).toBe('a%5Bb%5D%5B0%5D=1&a%5Bb%5D%5B2%5D=3'); + expect( + stringify( + { a: { b: [1, 2, 3, 4], c: 'd' }, c: 'f' }, + { filter: ['a', 'b', 0, 2], arrayFormat: 'brackets' }, + ), + ).toBe('a%5Bb%5D%5B%5D=1&a%5Bb%5D%5B%5D=3'); + }); + + test('supports custom representations when filter=function', function () { + var calls = 0; + var obj = { a: 'b', c: 'd', e: { f: new Date(1257894000000) } }; + var filterFunc: StringifyOptions['filter'] = function (prefix, value) { + calls += 1; + if (calls === 1) { + // st.equal(prefix, '', 'prefix is empty'); + // st.equal(value, obj); + expect(prefix).toBe(''); + expect(value).toBe(obj); + } else if (prefix === 'c') { + return void 0; + } else if (value instanceof Date) { + // st.equal(prefix, 'e[f]'); + expect(prefix).toBe('e[f]'); + return value.getTime(); + } + return value; + }; + + // st.equal(stringify(obj, { filter: filterFunc }), 'a=b&e%5Bf%5D=1257894000000'); + // st.equal(calls, 5); + expect(stringify(obj, { filter: filterFunc })).toBe('a=b&e%5Bf%5D=1257894000000'); + expect(calls).toBe(5); + }); + + test('can disable uri encoding', function () { + // st.equal(stringify({ a: 'b' }, { encode: false }), 'a=b'); + // st.equal(stringify({ a: { b: 'c' } }, { encode: false }), 'a[b]=c'); + // st.equal( + // stringify({ a: 'b', c: null }, { strictNullHandling: true, encode: false }), + // 'a=b&c', + // ); + expect(stringify({ a: 'b' }, { encode: false })).toBe('a=b'); + expect(stringify({ a: { b: 'c' } }, { encode: false })).toBe('a[b]=c'); + expect(stringify({ a: 'b', c: null }, { strictNullHandling: true, encode: false })).toBe('a=b&c'); + }); + + test('can sort the keys', function () { + // @ts-expect-error + var sort: NonNullable = function (a: string, b: string) { + return a.localeCompare(b); + }; + // st.equal(stringify({ a: 'c', z: 'y', b: 'f' }, { sort: sort }), 'a=c&b=f&z=y'); + // st.equal( + // stringify({ a: 'c', z: { j: 'a', i: 'b' }, b: 'f' }, { sort: sort }), + // 'a=c&b=f&z%5Bi%5D=b&z%5Bj%5D=a', + // ); + expect(stringify({ a: 'c', z: 'y', b: 'f' }, { sort: sort })).toBe('a=c&b=f&z=y'); + expect(stringify({ a: 'c', z: { j: 'a', i: 'b' }, b: 'f' }, { sort: sort })).toBe( + 'a=c&b=f&z%5Bi%5D=b&z%5Bj%5D=a', + ); + }); + + test('can sort the keys at depth 3 or more too', function () { + // @ts-expect-error + var sort: NonNullable = function (a: string, b: string) { + return a.localeCompare(b); + }; + // st.equal( + // stringify( + // { a: 'a', z: { zj: { zjb: 'zjb', zja: 'zja' }, zi: { zib: 'zib', zia: 'zia' } }, b: 'b' }, + // { sort: sort, encode: false }, + // ), + // 'a=a&b=b&z[zi][zia]=zia&z[zi][zib]=zib&z[zj][zja]=zja&z[zj][zjb]=zjb', + // ); + // st.equal( + // stringify( + // { a: 'a', z: { zj: { zjb: 'zjb', zja: 'zja' }, zi: { zib: 'zib', zia: 'zia' } }, b: 'b' }, + // { sort: null, encode: false }, + // ), + // 'a=a&z[zj][zjb]=zjb&z[zj][zja]=zja&z[zi][zib]=zib&z[zi][zia]=zia&b=b', + // ); + expect( + stringify( + { a: 'a', z: { zj: { zjb: 'zjb', zja: 'zja' }, zi: { zib: 'zib', zia: 'zia' } }, b: 'b' }, + { sort: sort, encode: false }, + ), + ).toBe('a=a&b=b&z[zi][zia]=zia&z[zi][zib]=zib&z[zj][zja]=zja&z[zj][zjb]=zjb'); + expect( + stringify( + { a: 'a', z: { zj: { zjb: 'zjb', zja: 'zja' }, zi: { zib: 'zib', zia: 'zia' } }, b: 'b' }, + { sort: null, encode: false }, + ), + ).toBe('a=a&z[zj][zjb]=zjb&z[zj][zja]=zja&z[zi][zib]=zib&z[zi][zia]=zia&b=b'); + }); + + test('can stringify with custom encoding', function () { + // st.equal( + // stringify( + // { 県: '大阪府', '': '' }, + // { + // encoder: function (str) { + // if (str.length === 0) { + // return ''; + // } + // var buf = iconv.encode(str, 'shiftjis'); + // var result = []; + // for (var i = 0; i < buf.length; ++i) { + // result.push(buf.readUInt8(i).toString(16)); + // } + // return '%' + result.join('%'); + // }, + // }, + // ), + // '%8c%a7=%91%e5%8d%e3%95%7b&=', + // ); + expect( + stringify( + { 県: '大阪府', '': '' }, + { + encoder: function (str) { + if (str.length === 0) { + return ''; + } + var buf = iconv.encode(str, 'shiftjis'); + var result = []; + for (var i = 0; i < buf.length; ++i) { + result.push(buf.readUInt8(i).toString(16)); + } + return '%' + result.join('%'); + }, + }, + ), + ).toBe('%8c%a7=%91%e5%8d%e3%95%7b&='); + }); + + test('receives the default encoder as a second argument', function () { + // stringify( + // { a: 1, b: new Date(), c: true, d: [1] }, + // { + // encoder: function (str) { + // st.match(typeof str, /^(?:string|number|boolean)$/); + // return ''; + // }, + // }, + // ); + + stringify( + { a: 1, b: new Date(), c: true, d: [1] }, + { + encoder: function (str) { + // st.match(typeof str, /^(?:string|number|boolean)$/); + assert.match(typeof str, /^(?:string|number|boolean)$/); + return ''; + }, + }, + ); + }); + + test('receives the default encoder as a second argument', function () { + // stringify( + // { a: 1 }, + // { + // encoder: function (str, defaultEncoder) { + // st.equal(defaultEncoder, utils.encode); + // }, + // }, + // ); + + stringify( + { a: 1 }, + { + // @ts-ignore + encoder: function (_str, defaultEncoder) { + expect(defaultEncoder).toBe(encode); + }, + }, + ); + }); + + test('throws error with wrong encoder', function () { + // st['throws'](function () { + // stringify({}, { encoder: 'string' }); + // }, new TypeError('Encoder has to be a function.')); + // st.end(); + expect(() => { + // @ts-expect-error + stringify({}, { encoder: 'string' }); + }).toThrow(TypeError); + }); + + (typeof Buffer === 'undefined' ? test.skip : test)( + 'can use custom encoder for a buffer object', + function () { + // st.equal( + // stringify( + // { a: Buffer.from([1]) }, + // { + // encoder: function (buffer) { + // if (typeof buffer === 'string') { + // return buffer; + // } + // return String.fromCharCode(buffer.readUInt8(0) + 97); + // }, + // }, + // ), + // 'a=b', + // ); + expect( + stringify( + { a: Buffer.from([1]) }, + { + encoder: function (buffer) { + if (typeof buffer === 'string') { + return buffer; + } + return String.fromCharCode(buffer.readUInt8(0) + 97); + }, + }, + ), + ).toBe('a=b'); + + // st.equal( + // stringify( + // { a: Buffer.from('a b') }, + // { + // encoder: function (buffer) { + // return buffer; + // }, + // }, + // ), + // 'a=a b', + // ); + expect( + stringify( + { a: Buffer.from('a b') }, + { + encoder: function (buffer) { + return buffer; + }, + }, + ), + ).toBe('a=a b'); + }, + ); + + test('serializeDate option', function () { + var date = new Date(); + // st.equal( + // stringify({ a: date }), + // 'a=' + date.toISOString().replace(/:/g, '%3A'), + // 'default is toISOString', + // ); + expect(stringify({ a: date })).toBe('a=' + date.toISOString().replace(/:/g, '%3A')); + + var mutatedDate = new Date(); + mutatedDate.toISOString = function () { + throw new SyntaxError(); + }; + // st['throws'](function () { + // mutatedDate.toISOString(); + // }, SyntaxError); + expect(() => { + mutatedDate.toISOString(); + }).toThrow(SyntaxError); + // st.equal( + // stringify({ a: mutatedDate }), + // 'a=' + Date.prototype.toISOString.call(mutatedDate).replace(/:/g, '%3A'), + // 'toISOString works even when method is not locally present', + // ); + expect(stringify({ a: mutatedDate })).toBe( + 'a=' + Date.prototype.toISOString.call(mutatedDate).replace(/:/g, '%3A'), + ); + + var specificDate = new Date(6); + // st.equal( + // stringify( + // { a: specificDate }, + // { + // serializeDate: function (d) { + // return d.getTime() * 7; + // }, + // }, + // ), + // 'a=42', + // 'custom serializeDate function called', + // ); + expect( + stringify( + { a: specificDate }, + { + // @ts-ignore + serializeDate: function (d) { + return d.getTime() * 7; + }, + }, + ), + ).toBe('a=42'); + + // st.equal( + // stringify( + // { a: [date] }, + // { + // serializeDate: function (d) { + // return d.getTime(); + // }, + // arrayFormat: 'comma', + // }, + // ), + // 'a=' + date.getTime(), + // 'works with arrayFormat comma', + // ); + // st.equal( + // stringify( + // { a: [date] }, + // { + // serializeDate: function (d) { + // return d.getTime(); + // }, + // arrayFormat: 'comma', + // commaRoundTrip: true, + // }, + // ), + // 'a%5B%5D=' + date.getTime(), + // 'works with arrayFormat comma', + // ); + expect( + stringify( + { a: [date] }, + { + // @ts-expect-error + serializeDate: function (d) { + return d.getTime(); + }, + arrayFormat: 'comma', + }, + ), + ).toBe('a=' + date.getTime()); + expect( + stringify( + { a: [date] }, + { + // @ts-expect-error + serializeDate: function (d) { + return d.getTime(); + }, + arrayFormat: 'comma', + commaRoundTrip: true, + }, + ), + ).toBe('a%5B%5D=' + date.getTime()); + }); + + test('RFC 1738 serialization', function () { + // st.equal(stringify({ a: 'b c' }, { format: formats.RFC1738 }), 'a=b+c'); + // st.equal(stringify({ 'a b': 'c d' }, { format: formats.RFC1738 }), 'a+b=c+d'); + // st.equal( + // stringify({ 'a b': Buffer.from('a b') }, { format: formats.RFC1738 }), + // 'a+b=a+b', + // ); + expect(stringify({ a: 'b c' }, { format: 'RFC1738' })).toBe('a=b+c'); + expect(stringify({ 'a b': 'c d' }, { format: 'RFC1738' })).toBe('a+b=c+d'); + expect(stringify({ 'a b': Buffer.from('a b') }, { format: 'RFC1738' })).toBe('a+b=a+b'); + + // st.equal(stringify({ 'foo(ref)': 'bar' }, { format: formats.RFC1738 }), 'foo(ref)=bar'); + expect(stringify({ 'foo(ref)': 'bar' }, { format: 'RFC1738' })).toBe('foo(ref)=bar'); + }); + + test('RFC 3986 spaces serialization', function () { + // st.equal(stringify({ a: 'b c' }, { format: formats.RFC3986 }), 'a=b%20c'); + // st.equal(stringify({ 'a b': 'c d' }, { format: formats.RFC3986 }), 'a%20b=c%20d'); + // st.equal( + // stringify({ 'a b': Buffer.from('a b') }, { format: formats.RFC3986 }), + // 'a%20b=a%20b', + // ); + expect(stringify({ a: 'b c' }, { format: 'RFC3986' })).toBe('a=b%20c'); + expect(stringify({ 'a b': 'c d' }, { format: 'RFC3986' })).toBe('a%20b=c%20d'); + expect(stringify({ 'a b': Buffer.from('a b') }, { format: 'RFC3986' })).toBe('a%20b=a%20b'); + }); + + test('Backward compatibility to RFC 3986', function () { + // st.equal(stringify({ a: 'b c' }), 'a=b%20c'); + // st.equal(stringify({ 'a b': Buffer.from('a b') }), 'a%20b=a%20b'); + expect(stringify({ a: 'b c' })).toBe('a=b%20c'); + expect(stringify({ 'a b': Buffer.from('a b') })).toBe('a%20b=a%20b'); + }); + + test('Edge cases and unknown formats', function () { + ['UFO1234', false, 1234, null, {}, []].forEach(function (format) { + // st['throws'](function () { + // stringify({ a: 'b c' }, { format: format }); + // }, new TypeError('Unknown format option provided.')); + expect(() => { + // @ts-expect-error + stringify({ a: 'b c' }, { format: format }); + }).toThrow(TypeError); + }); + }); + + test('encodeValuesOnly', function () { + // st.equal( + // stringify( + // { a: 'b', c: ['d', 'e=f'], f: [['g'], ['h']] }, + // { encodeValuesOnly: true, arrayFormat: 'indices' }, + // ), + // 'a=b&c[0]=d&c[1]=e%3Df&f[0][0]=g&f[1][0]=h', + // 'encodeValuesOnly + indices', + // ); + // st.equal( + // stringify( + // { a: 'b', c: ['d', 'e=f'], f: [['g'], ['h']] }, + // { encodeValuesOnly: true, arrayFormat: 'brackets' }, + // ), + // 'a=b&c[]=d&c[]=e%3Df&f[][]=g&f[][]=h', + // 'encodeValuesOnly + brackets', + // ); + // st.equal( + // stringify( + // { a: 'b', c: ['d', 'e=f'], f: [['g'], ['h']] }, + // { encodeValuesOnly: true, arrayFormat: 'repeat' }, + // ), + // 'a=b&c=d&c=e%3Df&f=g&f=h', + // 'encodeValuesOnly + repeat', + // ); + expect( + stringify( + { a: 'b', c: ['d', 'e=f'], f: [['g'], ['h']] }, + { encodeValuesOnly: true, arrayFormat: 'indices' }, + ), + ).toBe('a=b&c[0]=d&c[1]=e%3Df&f[0][0]=g&f[1][0]=h'); + expect( + stringify( + { a: 'b', c: ['d', 'e=f'], f: [['g'], ['h']] }, + { encodeValuesOnly: true, arrayFormat: 'brackets' }, + ), + ).toBe('a=b&c[]=d&c[]=e%3Df&f[][]=g&f[][]=h'); + expect( + stringify( + { a: 'b', c: ['d', 'e=f'], f: [['g'], ['h']] }, + { encodeValuesOnly: true, arrayFormat: 'repeat' }, + ), + ).toBe('a=b&c=d&c=e%3Df&f=g&f=h'); + + // st.equal( + // stringify({ a: 'b', c: ['d', 'e'], f: [['g'], ['h']] }, { arrayFormat: 'indices' }), + // 'a=b&c%5B0%5D=d&c%5B1%5D=e&f%5B0%5D%5B0%5D=g&f%5B1%5D%5B0%5D=h', + // 'no encodeValuesOnly + indices', + // ); + // st.equal( + // stringify({ a: 'b', c: ['d', 'e'], f: [['g'], ['h']] }, { arrayFormat: 'brackets' }), + // 'a=b&c%5B%5D=d&c%5B%5D=e&f%5B%5D%5B%5D=g&f%5B%5D%5B%5D=h', + // 'no encodeValuesOnly + brackets', + // ); + // st.equal( + // stringify({ a: 'b', c: ['d', 'e'], f: [['g'], ['h']] }, { arrayFormat: 'repeat' }), + // 'a=b&c=d&c=e&f=g&f=h', + // 'no encodeValuesOnly + repeat', + // ); + expect(stringify({ a: 'b', c: ['d', 'e'], f: [['g'], ['h']] }, { arrayFormat: 'indices' })).toBe( + 'a=b&c%5B0%5D=d&c%5B1%5D=e&f%5B0%5D%5B0%5D=g&f%5B1%5D%5B0%5D=h', + ); + expect(stringify({ a: 'b', c: ['d', 'e'], f: [['g'], ['h']] }, { arrayFormat: 'brackets' })).toBe( + 'a=b&c%5B%5D=d&c%5B%5D=e&f%5B%5D%5B%5D=g&f%5B%5D%5B%5D=h', + ); + expect(stringify({ a: 'b', c: ['d', 'e'], f: [['g'], ['h']] }, { arrayFormat: 'repeat' })).toBe( + 'a=b&c=d&c=e&f=g&f=h', + ); + }); + + test('encodeValuesOnly - strictNullHandling', function () { + // st.equal( + // stringify({ a: { b: null } }, { encodeValuesOnly: true, strictNullHandling: true }), + // 'a[b]', + // ); + expect(stringify({ a: { b: null } }, { encodeValuesOnly: true, strictNullHandling: true })).toBe('a[b]'); + }); + + test('throws if an invalid charset is specified', function () { + // st['throws'](function () { + // stringify({ a: 'b' }, { charset: 'foobar' }); + // }, new TypeError('The charset option must be either utf-8, iso-8859-1, or undefined')); + expect(() => { + // @ts-expect-error + stringify({ a: 'b' }, { charset: 'foobar' }); + }).toThrow(TypeError); + }); + + test('respects a charset of iso-8859-1', function () { + // st.equal(stringify({ æ: 'æ' }, { charset: 'iso-8859-1' }), '%E6=%E6'); + expect(stringify({ æ: 'æ' }, { charset: 'iso-8859-1' })).toBe('%E6=%E6'); + }); + + test('encodes unrepresentable chars as numeric entities in iso-8859-1 mode', function () { + // st.equal(stringify({ a: '☺' }, { charset: 'iso-8859-1' }), 'a=%26%239786%3B'); + expect(stringify({ a: '☺' }, { charset: 'iso-8859-1' })).toBe('a=%26%239786%3B'); + }); + + test('respects an explicit charset of utf-8 (the default)', function () { + // st.equal(stringify({ a: 'æ' }, { charset: 'utf-8' }), 'a=%C3%A6'); + expect(stringify({ a: 'æ' }, { charset: 'utf-8' })).toBe('a=%C3%A6'); + }); + + test('`charsetSentinel` option', function () { + // st.equal( + // stringify({ a: 'æ' }, { charsetSentinel: true, charset: 'utf-8' }), + // 'utf8=%E2%9C%93&a=%C3%A6', + // 'adds the right sentinel when instructed to and the charset is utf-8', + // ); + expect(stringify({ a: 'æ' }, { charsetSentinel: true, charset: 'utf-8' })).toBe( + 'utf8=%E2%9C%93&a=%C3%A6', + ); + + // st.equal( + // stringify({ a: 'æ' }, { charsetSentinel: true, charset: 'iso-8859-1' }), + // 'utf8=%26%2310003%3B&a=%E6', + // 'adds the right sentinel when instructed to and the charset is iso-8859-1', + // ); + expect(stringify({ a: 'æ' }, { charsetSentinel: true, charset: 'iso-8859-1' })).toBe( + 'utf8=%26%2310003%3B&a=%E6', + ); + }); + + test('does not mutate the options argument', function () { + var options = {}; + stringify({}, options); + // st.deepEqual(options, {}); + expect(options).toEqual({}); + }); + + test('strictNullHandling works with custom filter', function () { + // @ts-expect-error + var filter = function (_prefix, value) { + return value; + }; + + var options = { strictNullHandling: true, filter: filter }; + // st.equal(stringify({ key: null }, options), 'key'); + expect(stringify({ key: null }, options)).toBe('key'); + }); + + test('strictNullHandling works with null serializeDate', function () { + var serializeDate = function () { + return null; + }; + var options = { strictNullHandling: true, serializeDate: serializeDate }; + var date = new Date(); + // st.equal(stringify({ key: date }, options), 'key'); + // @ts-expect-error + expect(stringify({ key: date }, options)).toBe('key'); + }); + + test('allows for encoding keys and values differently', function () { + // @ts-expect-error + var encoder = function (str, defaultEncoder, charset, type) { + if (type === 'key') { + return defaultEncoder(str, defaultEncoder, charset, type).toLowerCase(); + } + if (type === 'value') { + return defaultEncoder(str, defaultEncoder, charset, type).toUpperCase(); + } + throw 'this should never happen! type: ' + type; + }; + + // st.deepEqual(stringify({ KeY: 'vAlUe' }, { encoder: encoder }), 'key=VALUE'); + expect(stringify({ KeY: 'vAlUe' }, { encoder: encoder })).toBe('key=VALUE'); + }); + + test('objects inside arrays', function () { + var obj = { a: { b: { c: 'd', e: 'f' } } }; + var withArray = { a: { b: [{ c: 'd', e: 'f' }] } }; + + // st.equal( + // stringify(obj, { encode: false }), + // 'a[b][c]=d&a[b][e]=f', + // 'no array, no arrayFormat', + // ); + // st.equal( + // stringify(obj, { encode: false, arrayFormat: 'brackets' }), + // 'a[b][c]=d&a[b][e]=f', + // 'no array, bracket', + // ); + // st.equal( + // stringify(obj, { encode: false, arrayFormat: 'indices' }), + // 'a[b][c]=d&a[b][e]=f', + // 'no array, indices', + // ); + // st.equal( + // stringify(obj, { encode: false, arrayFormat: 'repeat' }), + // 'a[b][c]=d&a[b][e]=f', + // 'no array, repeat', + // ); + // st.equal( + // stringify(obj, { encode: false, arrayFormat: 'comma' }), + // 'a[b][c]=d&a[b][e]=f', + // 'no array, comma', + // ); + expect(stringify(obj, { encode: false })).toBe('a[b][c]=d&a[b][e]=f'); + expect(stringify(obj, { encode: false, arrayFormat: 'brackets' })).toBe('a[b][c]=d&a[b][e]=f'); + expect(stringify(obj, { encode: false, arrayFormat: 'indices' })).toBe('a[b][c]=d&a[b][e]=f'); + expect(stringify(obj, { encode: false, arrayFormat: 'repeat' })).toBe('a[b][c]=d&a[b][e]=f'); + expect(stringify(obj, { encode: false, arrayFormat: 'comma' })).toBe('a[b][c]=d&a[b][e]=f'); + + // st.equal( + // stringify(withArray, { encode: false }), + // 'a[b][0][c]=d&a[b][0][e]=f', + // 'array, no arrayFormat', + // ); + // st.equal( + // stringify(withArray, { encode: false, arrayFormat: 'brackets' }), + // 'a[b][][c]=d&a[b][][e]=f', + // 'array, bracket', + // ); + // st.equal( + // stringify(withArray, { encode: false, arrayFormat: 'indices' }), + // 'a[b][0][c]=d&a[b][0][e]=f', + // 'array, indices', + // ); + // st.equal( + // stringify(withArray, { encode: false, arrayFormat: 'repeat' }), + // 'a[b][c]=d&a[b][e]=f', + // 'array, repeat', + // ); + // st.equal( + // stringify(withArray, { encode: false, arrayFormat: 'comma' }), + // '???', + // 'array, comma', + // { skip: 'TODO: figure out what this should do' }, + // ); + expect(stringify(withArray, { encode: false })).toBe('a[b][0][c]=d&a[b][0][e]=f'); + expect(stringify(withArray, { encode: false, arrayFormat: 'brackets' })).toBe('a[b][][c]=d&a[b][][e]=f'); + expect(stringify(withArray, { encode: false, arrayFormat: 'indices' })).toBe('a[b][0][c]=d&a[b][0][e]=f'); + expect(stringify(withArray, { encode: false, arrayFormat: 'repeat' })).toBe('a[b][c]=d&a[b][e]=f'); + // !TODo: Figure out what this should do + // expect(stringify(withArray, { encode: false, arrayFormat: 'comma' })).toBe( + // 'a[b][c]=d&a[b][e]=f', + // ); + }); + + test('stringifies sparse arrays', function () { + // st.equal( + // stringify({ a: [, '2', , , '1'] }, { encodeValuesOnly: true, arrayFormat: 'indices' }), + // 'a[1]=2&a[4]=1', + // ); + // st.equal( + // stringify({ a: [, '2', , , '1'] }, { encodeValuesOnly: true, arrayFormat: 'brackets' }), + // 'a[]=2&a[]=1', + // ); + // st.equal( + // stringify({ a: [, '2', , , '1'] }, { encodeValuesOnly: true, arrayFormat: 'repeat' }), + // 'a=2&a=1', + // ); + expect(stringify({ a: [, '2', , , '1'] }, { encodeValuesOnly: true, arrayFormat: 'indices' })).toBe( + 'a[1]=2&a[4]=1', + ); + expect(stringify({ a: [, '2', , , '1'] }, { encodeValuesOnly: true, arrayFormat: 'brackets' })).toBe( + 'a[]=2&a[]=1', + ); + expect(stringify({ a: [, '2', , , '1'] }, { encodeValuesOnly: true, arrayFormat: 'repeat' })).toBe( + 'a=2&a=1', + ); + + // st.equal( + // stringify( + // { a: [, { b: [, , { c: '1' }] }] }, + // { encodeValuesOnly: true, arrayFormat: 'indices' }, + // ), + // 'a[1][b][2][c]=1', + // ); + // st.equal( + // stringify( + // { a: [, { b: [, , { c: '1' }] }] }, + // { encodeValuesOnly: true, arrayFormat: 'brackets' }, + // ), + // 'a[][b][][c]=1', + // ); + // st.equal( + // stringify( + // { a: [, { b: [, , { c: '1' }] }] }, + // { encodeValuesOnly: true, arrayFormat: 'repeat' }, + // ), + // 'a[b][c]=1', + // ); + expect( + stringify({ a: [, { b: [, , { c: '1' }] }] }, { encodeValuesOnly: true, arrayFormat: 'indices' }), + ).toBe('a[1][b][2][c]=1'); + expect( + stringify({ a: [, { b: [, , { c: '1' }] }] }, { encodeValuesOnly: true, arrayFormat: 'brackets' }), + ).toBe('a[][b][][c]=1'); + expect( + stringify({ a: [, { b: [, , { c: '1' }] }] }, { encodeValuesOnly: true, arrayFormat: 'repeat' }), + ).toBe('a[b][c]=1'); + + // st.equal( + // stringify( + // { a: [, [, , [, , , { c: '1' }]]] }, + // { encodeValuesOnly: true, arrayFormat: 'indices' }, + // ), + // 'a[1][2][3][c]=1', + // ); + // st.equal( + // stringify( + // { a: [, [, , [, , , { c: '1' }]]] }, + // { encodeValuesOnly: true, arrayFormat: 'brackets' }, + // ), + // 'a[][][][c]=1', + // ); + // st.equal( + // stringify( + // { a: [, [, , [, , , { c: '1' }]]] }, + // { encodeValuesOnly: true, arrayFormat: 'repeat' }, + // ), + // 'a[c]=1', + // ); + expect( + stringify({ a: [, [, , [, , , { c: '1' }]]] }, { encodeValuesOnly: true, arrayFormat: 'indices' }), + ).toBe('a[1][2][3][c]=1'); + expect( + stringify({ a: [, [, , [, , , { c: '1' }]]] }, { encodeValuesOnly: true, arrayFormat: 'brackets' }), + ).toBe('a[][][][c]=1'); + expect( + stringify({ a: [, [, , [, , , { c: '1' }]]] }, { encodeValuesOnly: true, arrayFormat: 'repeat' }), + ).toBe('a[c]=1'); + + // st.equal( + // stringify( + // { a: [, [, , [, , , { c: [, '1'] }]]] }, + // { encodeValuesOnly: true, arrayFormat: 'indices' }, + // ), + // 'a[1][2][3][c][1]=1', + // ); + // st.equal( + // stringify( + // { a: [, [, , [, , , { c: [, '1'] }]]] }, + // { encodeValuesOnly: true, arrayFormat: 'brackets' }, + // ), + // 'a[][][][c][]=1', + // ); + // st.equal( + // stringify( + // { a: [, [, , [, , , { c: [, '1'] }]]] }, + // { encodeValuesOnly: true, arrayFormat: 'repeat' }, + // ), + // 'a[c]=1', + // ); + expect( + stringify({ a: [, [, , [, , , { c: [, '1'] }]]] }, { encodeValuesOnly: true, arrayFormat: 'indices' }), + ).toBe('a[1][2][3][c][1]=1'); + expect( + stringify({ a: [, [, , [, , , { c: [, '1'] }]]] }, { encodeValuesOnly: true, arrayFormat: 'brackets' }), + ).toBe('a[][][][c][]=1'); + expect( + stringify({ a: [, [, , [, , , { c: [, '1'] }]]] }, { encodeValuesOnly: true, arrayFormat: 'repeat' }), + ).toBe('a[c]=1'); + }); + + test('encodes a very long string', function () { + var chars = []; + var expected = []; + for (var i = 0; i < 5e3; i++) { + chars.push(' ' + i); + + expected.push('%20' + i); + } + + var obj = { + foo: chars.join(''), + }; + + // st.equal( + // stringify(obj, { arrayFormat: 'bracket', charset: 'utf-8' }), + // 'foo=' + expected.join(''), + // ); + // @ts-expect-error + expect(stringify(obj, { arrayFormat: 'bracket', charset: 'utf-8' })).toBe('foo=' + expected.join('')); + }); +}); + +describe('stringifies empty keys', function () { + empty_test_cases.forEach(function (testCase) { + test('stringifies an object with empty string key with ' + testCase.input, function () { + // st.deepEqual( + // stringify(testCase.withEmptyKeys, { encode: false, arrayFormat: 'indices' }), + // testCase.stringifyOutput.indices, + // 'test case: ' + testCase.input + ', indices', + // ); + // st.deepEqual( + // stringify(testCase.withEmptyKeys, { encode: false, arrayFormat: 'brackets' }), + // testCase.stringifyOutput.brackets, + // 'test case: ' + testCase.input + ', brackets', + // ); + // st.deepEqual( + // stringify(testCase.withEmptyKeys, { encode: false, arrayFormat: 'repeat' }), + // testCase.stringifyOutput.repeat, + // 'test case: ' + testCase.input + ', repeat', + // ); + expect(stringify(testCase.with_empty_keys, { encode: false, arrayFormat: 'indices' })).toBe( + testCase.stringify_output.indices, + ); + expect(stringify(testCase.with_empty_keys, { encode: false, arrayFormat: 'brackets' })).toBe( + testCase.stringify_output.brackets, + ); + expect(stringify(testCase.with_empty_keys, { encode: false, arrayFormat: 'repeat' })).toBe( + testCase.stringify_output.repeat, + ); + }); + }); + + test('edge case with object/arrays', function () { + // st.deepEqual(stringify({ '': { '': [2, 3] } }, { encode: false }), '[][0]=2&[][1]=3'); + // st.deepEqual( + // stringify({ '': { '': [2, 3], a: 2 } }, { encode: false }), + // '[][0]=2&[][1]=3&[a]=2', + // ); + // st.deepEqual( + // stringify({ '': { '': [2, 3] } }, { encode: false, arrayFormat: 'indices' }), + // '[][0]=2&[][1]=3', + // ); + // st.deepEqual( + // stringify({ '': { '': [2, 3], a: 2 } }, { encode: false, arrayFormat: 'indices' }), + // '[][0]=2&[][1]=3&[a]=2', + // ); + expect(stringify({ '': { '': [2, 3] } }, { encode: false })).toBe('[][0]=2&[][1]=3'); + expect(stringify({ '': { '': [2, 3], a: 2 } }, { encode: false })).toBe('[][0]=2&[][1]=3&[a]=2'); + expect(stringify({ '': { '': [2, 3] } }, { encode: false, arrayFormat: 'indices' })).toBe( + '[][0]=2&[][1]=3', + ); + expect(stringify({ '': { '': [2, 3], a: 2 } }, { encode: false, arrayFormat: 'indices' })).toBe( + '[][0]=2&[][1]=3&[a]=2', + ); + }); +}); diff --git a/tests/qs/utils.test.ts b/tests/qs/utils.test.ts new file mode 100644 index 000000000..3df95e5bd --- /dev/null +++ b/tests/qs/utils.test.ts @@ -0,0 +1,169 @@ +import { combine, merge, is_buffer, assign_single_source } from 'openai/internal/qs/utils'; + +describe('merge()', function () { + // t.deepEqual(merge(null, true), [null, true], 'merges true into null'); + expect(merge(null, true)).toEqual([null, true]); + + // t.deepEqual(merge(null, [42]), [null, 42], 'merges null into an array'); + expect(merge(null, [42])).toEqual([null, 42]); + + // t.deepEqual( + // merge({ a: 'b' }, { a: 'c' }), + // { a: ['b', 'c'] }, + // 'merges two objects with the same key', + // ); + expect(merge({ a: 'b' }, { a: 'c' })).toEqual({ a: ['b', 'c'] }); + + var oneMerged = merge({ foo: 'bar' }, { foo: { first: '123' } }); + // t.deepEqual( + // oneMerged, + // { foo: ['bar', { first: '123' }] }, + // 'merges a standalone and an object into an array', + // ); + expect(oneMerged).toEqual({ foo: ['bar', { first: '123' }] }); + + var twoMerged = merge({ foo: ['bar', { first: '123' }] }, { foo: { second: '456' } }); + // t.deepEqual( + // twoMerged, + // { foo: { 0: 'bar', 1: { first: '123' }, second: '456' } }, + // 'merges a standalone and two objects into an array', + // ); + expect(twoMerged).toEqual({ foo: { 0: 'bar', 1: { first: '123' }, second: '456' } }); + + var sandwiched = merge({ foo: ['bar', { first: '123', second: '456' }] }, { foo: 'baz' }); + // t.deepEqual( + // sandwiched, + // { foo: ['bar', { first: '123', second: '456' }, 'baz'] }, + // 'merges an object sandwiched by two standalones into an array', + // ); + expect(sandwiched).toEqual({ foo: ['bar', { first: '123', second: '456' }, 'baz'] }); + + var nestedArrays = merge({ foo: ['baz'] }, { foo: ['bar', 'xyzzy'] }); + // t.deepEqual(nestedArrays, { foo: ['baz', 'bar', 'xyzzy'] }); + expect(nestedArrays).toEqual({ foo: ['baz', 'bar', 'xyzzy'] }); + + var noOptionsNonObjectSource = merge({ foo: 'baz' }, 'bar'); + // t.deepEqual(noOptionsNonObjectSource, { foo: 'baz', bar: true }); + expect(noOptionsNonObjectSource).toEqual({ foo: 'baz', bar: true }); + + (typeof Object.defineProperty !== 'function' ? test.skip : test)( + 'avoids invoking array setters unnecessarily', + function () { + var setCount = 0; + var getCount = 0; + var observed: any[] = []; + Object.defineProperty(observed, 0, { + get: function () { + getCount += 1; + return { bar: 'baz' }; + }, + set: function () { + setCount += 1; + }, + }); + merge(observed, [null]); + // st.equal(setCount, 0); + // st.equal(getCount, 1); + expect(setCount).toEqual(0); + expect(getCount).toEqual(1); + observed[0] = observed[0]; // eslint-disable-line no-self-assign + // st.equal(setCount, 1); + // st.equal(getCount, 2); + expect(setCount).toEqual(1); + expect(getCount).toEqual(2); + }, + ); +}); + +test('assign()', function () { + var target = { a: 1, b: 2 }; + var source = { b: 3, c: 4 }; + var result = assign_single_source(target, source); + + expect(result).toEqual(target); + expect(target).toEqual({ a: 1, b: 3, c: 4 }); + expect(source).toEqual({ b: 3, c: 4 }); +}); + +describe('combine()', function () { + test('both arrays', function () { + var a = [1]; + var b = [2]; + var combined = combine(a, b); + + // st.deepEqual(a, [1], 'a is not mutated'); + // st.deepEqual(b, [2], 'b is not mutated'); + // st.notEqual(a, combined, 'a !== combined'); + // st.notEqual(b, combined, 'b !== combined'); + // st.deepEqual(combined, [1, 2], 'combined is a + b'); + expect(a).toEqual([1]); + expect(b).toEqual([2]); + expect(combined).toEqual([1, 2]); + expect(a).not.toEqual(combined); + expect(b).not.toEqual(combined); + }); + + test('one array, one non-array', function () { + var aN = 1; + var a = [aN]; + var bN = 2; + var b = [bN]; + + var combinedAnB = combine(aN, b); + // st.deepEqual(b, [bN], 'b is not mutated'); + // st.notEqual(aN, combinedAnB, 'aN + b !== aN'); + // st.notEqual(a, combinedAnB, 'aN + b !== a'); + // st.notEqual(bN, combinedAnB, 'aN + b !== bN'); + // st.notEqual(b, combinedAnB, 'aN + b !== b'); + // st.deepEqual([1, 2], combinedAnB, 'first argument is array-wrapped when not an array'); + expect(b).toEqual([bN]); + expect(combinedAnB).not.toEqual(aN); + expect(combinedAnB).not.toEqual(a); + expect(combinedAnB).not.toEqual(bN); + expect(combinedAnB).not.toEqual(b); + expect(combinedAnB).toEqual([1, 2]); + + var combinedABn = combine(a, bN); + // st.deepEqual(a, [aN], 'a is not mutated'); + // st.notEqual(aN, combinedABn, 'a + bN !== aN'); + // st.notEqual(a, combinedABn, 'a + bN !== a'); + // st.notEqual(bN, combinedABn, 'a + bN !== bN'); + // st.notEqual(b, combinedABn, 'a + bN !== b'); + // st.deepEqual([1, 2], combinedABn, 'second argument is array-wrapped when not an array'); + expect(a).toEqual([aN]); + expect(combinedABn).not.toEqual(aN); + expect(combinedABn).not.toEqual(a); + expect(combinedABn).not.toEqual(bN); + expect(combinedABn).not.toEqual(b); + expect(combinedABn).toEqual([1, 2]); + }); + + test('neither is an array', function () { + var combined = combine(1, 2); + // st.notEqual(1, combined, '1 + 2 !== 1'); + // st.notEqual(2, combined, '1 + 2 !== 2'); + // st.deepEqual([1, 2], combined, 'both arguments are array-wrapped when not an array'); + expect(combined).not.toEqual(1); + expect(combined).not.toEqual(2); + expect(combined).toEqual([1, 2]); + }); +}); + +test('is_buffer()', function () { + for (const x of [null, undefined, true, false, '', 'abc', 42, 0, NaN, {}, [], function () {}, /a/g]) { + // t.equal(is_buffer(x), false, inspect(x) + ' is not a buffer'); + expect(is_buffer(x)).toEqual(false); + } + + var fakeBuffer = { constructor: Buffer }; + // t.equal(is_buffer(fakeBuffer), false, 'fake buffer is not a buffer'); + expect(is_buffer(fakeBuffer)).toEqual(false); + + var saferBuffer = Buffer.from('abc'); + // t.equal(is_buffer(saferBuffer), true, 'SaferBuffer instance is a buffer'); + expect(is_buffer(saferBuffer)).toEqual(true); + + var buffer = Buffer.from('abc'); + // t.equal(is_buffer(buffer), true, 'real Buffer instance is a buffer'); + expect(is_buffer(buffer)).toEqual(true); +}); diff --git a/tests/responses.test.ts b/tests/responses.test.ts new file mode 100644 index 000000000..527763465 --- /dev/null +++ b/tests/responses.test.ts @@ -0,0 +1,148 @@ +import { APIPromise, createResponseHeaders } from 'openai/core'; +import OpenAI from 'openai/index'; +import { Headers } from 'openai/_shims/index'; +import { Response } from 'node-fetch'; +import { compareType } from './utils/typing'; + +describe('response parsing', () => { + // TODO: test unicode characters + test('headers are case agnostic', async () => { + const headers = createResponseHeaders(new Headers({ 'Content-Type': 'foo', Accept: 'text/plain' })); + expect(headers['content-type']).toEqual('foo'); + expect(headers['Content-type']).toEqual('foo'); + expect(headers['Content-Type']).toEqual('foo'); + expect(headers['accept']).toEqual('text/plain'); + expect(headers['Accept']).toEqual('text/plain'); + expect(headers['Hello-World']).toBeUndefined(); + }); + + test('duplicate headers are concatenated', () => { + const headers = createResponseHeaders( + new Headers([ + ['Content-Type', 'text/xml'], + ['Content-Type', 'application/json'], + ]), + ); + expect(headers['content-type']).toBe('text/xml, application/json'); + }); +}); + +describe('request id', () => { + test('types', () => { + compareType>, string>(true); + compareType>, number>(true); + compareType>, null>(true); + compareType>, void>(true); + compareType>, Response>(true); + compareType>, Response>(true); + compareType>, { foo: string } & { _request_id?: string | null }>( + true, + ); + compareType>>, Array<{ foo: string }>>(true); + }); + + test('withResponse', async () => { + const client = new OpenAI({ + apiKey: 'dummy', + fetch: async () => + new Response(JSON.stringify({ id: 'bar' }), { + headers: { 'x-request-id': 'req_id_xxx', 'content-type': 'application/json' }, + }), + }); + + const { + data: completion, + response, + request_id, + } = await client.chat.completions.create({ messages: [], model: 'gpt-4' }).withResponse(); + + expect(request_id).toBe('req_id_xxx'); + expect(response.headers.get('x-request-id')).toBe('req_id_xxx'); + expect(completion.id).toBe('bar'); + expect(JSON.stringify(completion)).toBe('{"id":"bar"}'); + }); + + test('object response', async () => { + const client = new OpenAI({ + apiKey: 'dummy', + fetch: async () => + new Response(JSON.stringify({ id: 'bar' }), { + headers: { 'x-request-id': 'req_id_xxx', 'content-type': 'application/json' }, + }), + }); + + const rsp = await client.chat.completions.create({ messages: [], model: 'gpt-4' }); + expect(rsp.id).toBe('bar'); + expect(rsp._request_id).toBe('req_id_xxx'); + expect(JSON.stringify(rsp)).toBe('{"id":"bar"}'); + }); + + test('envelope response', async () => { + const promise = new APIPromise<{ data: { foo: string } }>( + (async () => { + return { + response: new Response(JSON.stringify({ data: { foo: 'bar' } }), { + headers: { 'x-request-id': 'req_id_xxx', 'content-type': 'application/json' }, + }), + controller: {} as any, + options: {} as any, + }; + })(), + )._thenUnwrap((d) => d.data); + + const rsp = await promise; + expect(rsp.foo).toBe('bar'); + expect(rsp._request_id).toBe('req_id_xxx'); + }); + + test('page response', async () => { + const client = new OpenAI({ + apiKey: 'dummy', + fetch: async () => + new Response(JSON.stringify({ data: [{ foo: 'bar' }] }), { + headers: { 'x-request-id': 'req_id_xxx', 'content-type': 'application/json' }, + }), + }); + + const page = await client.fineTuning.jobs.list(); + expect(page.data).toMatchObject([{ foo: 'bar' }]); + expect((page as any)._request_id).toBeUndefined(); + }); + + test('array response', async () => { + const promise = new APIPromise>( + (async () => { + return { + response: new Response(JSON.stringify([{ foo: 'bar' }]), { + headers: { 'x-request-id': 'req_id_xxx', 'content-type': 'application/json' }, + }), + controller: {} as any, + options: {} as any, + }; + })(), + ); + + const rsp = await promise; + expect(rsp.length).toBe(1); + expect(rsp[0]).toMatchObject({ foo: 'bar' }); + expect((rsp as any)._request_id).toBeUndefined(); + }); + + test('string response', async () => { + const promise = new APIPromise( + (async () => { + return { + response: new Response('hello world', { + headers: { 'x-request-id': 'req_id_xxx', 'content-type': 'application/text' }, + }), + controller: {} as any, + options: {} as any, + }; + })(), + ); + + const result = await promise; + expect(result).toBe('hello world'); + expect((result as any)._request_id).toBeUndefined(); + }); +}); diff --git a/tests/streaming.test.ts b/tests/streaming.test.ts new file mode 100644 index 000000000..b9a38f208 --- /dev/null +++ b/tests/streaming.test.ts @@ -0,0 +1,244 @@ +import { Response } from 'node-fetch'; +import { PassThrough } from 'stream'; +import assert from 'assert'; +import { _iterSSEMessages } from 'openai/streaming'; + +describe('streaming decoding', () => { + test('basic', async () => { + async function* body(): AsyncGenerator { + yield Buffer.from('event: completion\n'); + yield Buffer.from('data: {"foo":true}\n'); + yield Buffer.from('\n'); + } + + const stream = _iterSSEMessages(new Response(await iteratorToStream(body())), new AbortController())[ + Symbol.asyncIterator + ](); + + let event = await stream.next(); + assert(event.value); + expect(JSON.parse(event.value.data)).toEqual({ foo: true }); + + event = await stream.next(); + expect(event.done).toBeTruthy(); + }); + + test('data without event', async () => { + async function* body(): AsyncGenerator { + yield Buffer.from('data: {"foo":true}\n'); + yield Buffer.from('\n'); + } + + const stream = _iterSSEMessages(new Response(await iteratorToStream(body())), new AbortController())[ + Symbol.asyncIterator + ](); + + let event = await stream.next(); + assert(event.value); + expect(event.value.event).toBeNull(); + expect(JSON.parse(event.value.data)).toEqual({ foo: true }); + + event = await stream.next(); + expect(event.done).toBeTruthy(); + }); + + test('event without data', async () => { + async function* body(): AsyncGenerator { + yield Buffer.from('event: foo\n'); + yield Buffer.from('\n'); + } + + const stream = _iterSSEMessages(new Response(await iteratorToStream(body())), new AbortController())[ + Symbol.asyncIterator + ](); + + let event = await stream.next(); + assert(event.value); + expect(event.value.event).toEqual('foo'); + expect(event.value.data).toEqual(''); + + event = await stream.next(); + expect(event.done).toBeTruthy(); + }); + + test('multiple events', async () => { + async function* body(): AsyncGenerator { + yield Buffer.from('event: foo\n'); + yield Buffer.from('\n'); + yield Buffer.from('event: ping\n'); + yield Buffer.from('\n'); + } + + const stream = _iterSSEMessages(new Response(await iteratorToStream(body())), new AbortController())[ + Symbol.asyncIterator + ](); + + let event = await stream.next(); + assert(event.value); + expect(event.value.event).toEqual('foo'); + expect(event.value.data).toEqual(''); + + event = await stream.next(); + assert(event.value); + expect(event.value.event).toEqual('ping'); + expect(event.value.data).toEqual(''); + + event = await stream.next(); + expect(event.done).toBeTruthy(); + }); + + test('multiple events with data', async () => { + async function* body(): AsyncGenerator { + yield Buffer.from('event: foo\n'); + yield Buffer.from('data: {"foo":true}\n'); + yield Buffer.from('\n'); + yield Buffer.from('event: ping\n'); + yield Buffer.from('data: {"bar":false}\n'); + yield Buffer.from('\n'); + } + + const stream = _iterSSEMessages(new Response(await iteratorToStream(body())), new AbortController())[ + Symbol.asyncIterator + ](); + + let event = await stream.next(); + assert(event.value); + expect(event.value.event).toEqual('foo'); + expect(JSON.parse(event.value.data)).toEqual({ foo: true }); + + event = await stream.next(); + assert(event.value); + expect(event.value.event).toEqual('ping'); + expect(JSON.parse(event.value.data)).toEqual({ bar: false }); + + event = await stream.next(); + expect(event.done).toBeTruthy(); + }); + + test('multiple data lines with empty line', async () => { + async function* body(): AsyncGenerator { + yield Buffer.from('event: ping\n'); + yield Buffer.from('data: {\n'); + yield Buffer.from('data: "foo":\n'); + yield Buffer.from('data: \n'); + yield Buffer.from('data:\n'); + yield Buffer.from('data: true}\n'); + yield Buffer.from('\n\n'); + } + + const stream = _iterSSEMessages(new Response(await iteratorToStream(body())), new AbortController())[ + Symbol.asyncIterator + ](); + + let event = await stream.next(); + assert(event.value); + expect(event.value.event).toEqual('ping'); + expect(JSON.parse(event.value.data)).toEqual({ foo: true }); + expect(event.value.data).toEqual('{\n"foo":\n\n\ntrue}'); + + event = await stream.next(); + expect(event.done).toBeTruthy(); + }); + + test('data json escaped double new line', async () => { + async function* body(): AsyncGenerator { + yield Buffer.from('event: ping\n'); + yield Buffer.from('data: {"foo": "my long\\n\\ncontent"}'); + yield Buffer.from('\n\n'); + } + + const stream = _iterSSEMessages(new Response(await iteratorToStream(body())), new AbortController())[ + Symbol.asyncIterator + ](); + + let event = await stream.next(); + assert(event.value); + expect(event.value.event).toEqual('ping'); + expect(JSON.parse(event.value.data)).toEqual({ foo: 'my long\n\ncontent' }); + + event = await stream.next(); + expect(event.done).toBeTruthy(); + }); + + test('special new line characters', async () => { + async function* body(): AsyncGenerator { + yield Buffer.from('data: {"content": "culpa "}\n'); + yield Buffer.from('\n'); + yield Buffer.from('data: {"content": "'); + yield Buffer.from([0xe2, 0x80, 0xa8]); + yield Buffer.from('"}\n'); + yield Buffer.from('\n'); + yield Buffer.from('data: {"content": "foo"}\n'); + yield Buffer.from('\n'); + } + + const stream = _iterSSEMessages(new Response(await iteratorToStream(body())), new AbortController())[ + Symbol.asyncIterator + ](); + + let event = await stream.next(); + assert(event.value); + expect(JSON.parse(event.value.data)).toEqual({ content: 'culpa ' }); + + event = await stream.next(); + assert(event.value); + expect(JSON.parse(event.value.data)).toEqual({ content: Buffer.from([0xe2, 0x80, 0xa8]).toString() }); + + event = await stream.next(); + assert(event.value); + expect(JSON.parse(event.value.data)).toEqual({ content: 'foo' }); + + event = await stream.next(); + expect(event.done).toBeTruthy(); + }); + + test('multi-byte characters across chunks', async () => { + async function* body(): AsyncGenerator { + yield Buffer.from('event: completion\n'); + yield Buffer.from('data: {"content": "'); + // bytes taken from the string 'известни' and arbitrarily split + // so that some multi-byte characters span multiple chunks + yield Buffer.from([0xd0]); + yield Buffer.from([0xb8, 0xd0, 0xb7, 0xd0]); + yield Buffer.from([0xb2, 0xd0, 0xb5, 0xd1, 0x81, 0xd1, 0x82, 0xd0, 0xbd, 0xd0, 0xb8]); + yield Buffer.from('"}\n'); + yield Buffer.from('\n'); + } + + const stream = _iterSSEMessages(new Response(await iteratorToStream(body())), new AbortController())[ + Symbol.asyncIterator + ](); + + let event = await stream.next(); + assert(event.value); + expect(event.value.event).toEqual('completion'); + expect(JSON.parse(event.value.data)).toEqual({ content: 'известни' }); + + event = await stream.next(); + expect(event.done).toBeTruthy(); + }); +}); + +async function iteratorToStream(iterator: AsyncGenerator): Promise { + const parts: unknown[] = []; + + for await (const chunk of iterator) { + parts.push(chunk); + } + + let index = 0; + + const stream = new PassThrough({ + read() { + const value = parts[index]; + if (value === undefined) { + stream.end(); + } else { + index += 1; + stream.write(value); + } + }, + }); + + return stream; +} diff --git a/tests/streaming/assistants/assistant.test.ts b/tests/streaming/assistants/assistant.test.ts new file mode 100644 index 000000000..e8db3d585 --- /dev/null +++ b/tests/streaming/assistants/assistant.test.ts @@ -0,0 +1,32 @@ +import OpenAI from 'openai'; +import { AssistantStream } from 'openai/lib/AssistantStream'; + +const openai = new OpenAI({ + apiKey: 'My API Key', + baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/', +}); + +describe('assistant tests', () => { + test('delta accumulation', () => { + expect(AssistantStream.accumulateDelta({}, {})).toEqual({}); + expect(AssistantStream.accumulateDelta({}, { a: 'apple' })).toEqual({ a: 'apple' }); + + // strings + expect(AssistantStream.accumulateDelta({ a: 'foo' }, { a: ' bar' })).toEqual({ a: 'foo bar' }); + + // dictionaries + expect(AssistantStream.accumulateDelta({ a: { foo: '1' } }, { a: { bar: '2' } })).toEqual({ + a: { + foo: '1', + bar: '2', + }, + }); + expect(AssistantStream.accumulateDelta({ a: { foo: 'hello,' } }, { a: { foo: ' world' } })).toEqual({ + a: { foo: 'hello, world' }, + }); + + expect(AssistantStream.accumulateDelta({}, { a: null })).toEqual({ a: null }); + expect(AssistantStream.accumulateDelta({ a: null }, { a: 'apple' })).toEqual({ a: 'apple' }); + expect(AssistantStream.accumulateDelta({ a: null }, { a: null })).toEqual({ a: null }); + }); +}); diff --git a/tests/stringifyQuery.test.ts b/tests/stringifyQuery.test.ts new file mode 100644 index 000000000..e5f3e560a --- /dev/null +++ b/tests/stringifyQuery.test.ts @@ -0,0 +1,23 @@ +// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +import { OpenAI } from 'openai'; + +const { stringifyQuery } = OpenAI.prototype as any; + +describe(stringifyQuery, () => { + for (const [input, expected] of [ + [{ a: '1', b: 2, c: true }, 'a=1&b=2&c=true'], + [{ a: null, b: false, c: undefined }, 'a=&b=false'], + [{ 'a/b': 1.28341 }, `${encodeURIComponent('a/b')}=1.28341`], + [ + { 'a/b': 'c/d', 'e=f': 'g&h' }, + `${encodeURIComponent('a/b')}=${encodeURIComponent('c/d')}&${encodeURIComponent( + 'e=f', + )}=${encodeURIComponent('g&h')}`, + ], + ]) { + it(`${JSON.stringify(input)} -> ${expected}`, () => { + expect(stringifyQuery(input)).toEqual(expected); + }); + } +}); diff --git a/tests/uploads.test.ts b/tests/uploads.test.ts new file mode 100644 index 000000000..b64b80285 --- /dev/null +++ b/tests/uploads.test.ts @@ -0,0 +1,65 @@ +import fs from 'fs'; +import { toFile, type ResponseLike } from 'openai/uploads'; +import { File } from 'openai/_shims/index'; + +class MyClass { + name: string = 'foo'; +} + +function mockResponse({ url, content }: { url: string; content?: Blob }): ResponseLike { + return { + url, + blob: async () => content as any, + }; +} + +describe('toFile', () => { + it('throws a helpful error for mismatched types', async () => { + await expect( + // @ts-expect-error intentionally mismatched type + toFile({ foo: 'string' }), + ).rejects.toThrowErrorMatchingInlineSnapshot( + `"Unexpected data type: object; constructor: Object; props: ["foo"]"`, + ); + + await expect( + // @ts-expect-error intentionally mismatched type + toFile(new MyClass()), + ).rejects.toThrowErrorMatchingInlineSnapshot( + `"Unexpected data type: object; constructor: MyClass; props: ["name"]"`, + ); + }); + + it('disallows string at the type-level', async () => { + // @ts-expect-error we intentionally do not type support for `string` + // to help people avoid passing a file path + const file = await toFile('contents'); + expect(file.text()).resolves.toEqual('contents'); + }); + + it('extracts a file name from a Response', async () => { + const response = mockResponse({ url: 'https://example.com/my/audio.mp3' }); + const file = await toFile(response); + expect(file.name).toEqual('audio.mp3'); + }); + + it('extracts a file name from a File', async () => { + const input = new File(['foo'], 'input.jsonl'); + const file = await toFile(input); + expect(file.name).toEqual('input.jsonl'); + }); + + it('extracts a file name from a ReadStream', async () => { + const input = fs.createReadStream('tests/uploads.test.ts'); + const file = await toFile(input); + expect(file.name).toEqual('uploads.test.ts'); + }); + + it('does not copy File objects', async () => { + const input = new File(['foo'], 'input.jsonl', { type: 'jsonl' }); + const file = await toFile(input); + expect(file).toBe(input); + expect(file.name).toEqual('input.jsonl'); + expect(file.type).toBe('jsonl'); + }); +}); diff --git a/tests/utils/mock-fetch.ts b/tests/utils/mock-fetch.ts new file mode 100644 index 000000000..e122f7aec --- /dev/null +++ b/tests/utils/mock-fetch.ts @@ -0,0 +1,68 @@ +import { type RequestInfo, type RequestInit } from 'openai/_shims/index'; +import { Response } from 'node-fetch'; + +type Fetch = (req: string | RequestInfo, init?: RequestInit) => Promise; + +/** + * Creates a mock `fetch` function and a `handleRequest` function for intercepting `fetch` calls. + * + * You call `handleRequest` with a callback function that handles the next `fetch` call. + * It returns a Promise that: + * - waits for the next call to `fetch` + * - calls the callback with the `fetch` arguments + * - resolves `fetch` with the callback output + */ +export function mockFetch(): { fetch: Fetch; handleRequest: (handle: Fetch) => Promise } { + const fetchQueue: ((handler: typeof fetch) => void)[] = []; + const handlerQueue: Promise[] = []; + + const enqueueHandler = () => { + handlerQueue.push( + new Promise((resolve) => { + fetchQueue.push((handle: typeof fetch) => { + enqueueHandler(); + resolve(handle); + }); + }), + ); + }; + enqueueHandler(); + + async function fetch(req: string | RequestInfo, init?: RequestInit): Promise { + const handler = await handlerQueue.shift(); + if (!handler) throw new Error('expected handler to be defined'); + const signal = init?.signal; + if (!signal) return await handler(req, init); + return await Promise.race([ + handler(req, init), + new Promise((resolve, reject) => { + if (signal.aborted) { + // @ts-ignore does exist in Node + reject(new DOMException('The user aborted a request.', 'AbortError')); + return; + } + signal.addEventListener('abort', (e) => { + // @ts-ignore does exist in Node + reject(new DOMException('The user aborted a request.', 'AbortError')); + }); + }), + ]); + } + + function handleRequest(handle: typeof fetch): Promise { + return new Promise((resolve, reject) => { + fetchQueue.shift()?.(async (req, init) => { + try { + return await handle(req, init); + } catch (err) { + reject(err); + return err as any; + } finally { + resolve(); + } + }); + }); + } + + return { fetch, handleRequest }; +} diff --git a/tests/utils/mock-snapshots.ts b/tests/utils/mock-snapshots.ts new file mode 100644 index 000000000..317bf6b0f --- /dev/null +++ b/tests/utils/mock-snapshots.ts @@ -0,0 +1,127 @@ +import defaultFetch, { Response } from 'node-fetch'; +import OpenAI from 'openai/index'; +import { RequestInit } from 'openai/_shims/auto/types'; +import { RequestInfo } from 'openai/_shims/auto/types'; +import { mockFetch } from './mock-fetch'; +import { Readable } from 'stream'; + +export async function makeSnapshotRequest( + requestFn: (client: OpenAI) => Promise, + snapshotIndex = 1, +): Promise { + if (process.env['UPDATE_API_SNAPSHOTS'] === '1') { + var capturedResponseContent: string | null = null; + + async function fetch(url: RequestInfo, init?: RequestInit) { + const response = await defaultFetch(url, init); + capturedResponseContent = await response.text(); + return new Response(capturedResponseContent, response); + } + + const openai = new OpenAI({ fetch }); + + const result = await requestFn(openai); + if (!capturedResponseContent) { + throw new Error('did not capture a response'); + } + + const text = capturedResponseContent; + expect(text).toMatchSnapshot(); + return result; + } + + const qualifiedSnapshotName = [expect.getState().currentTestName, snapshotIndex].join(' '); + const snapshotState = expect.getState()['snapshotState']; + (snapshotState._uncheckedKeys as Set).delete(qualifiedSnapshotName); + + const data = snapshotState._snapshotData[qualifiedSnapshotName]; + if (!data) { + throw new Error(`could not resolve snapshot with name ${qualifiedSnapshotName}`); + } + if (typeof data !== 'string') { + console.error(data); + throw new Error('Expected snapshot data to be a string'); + } + + const { fetch, handleRequest } = mockFetch(); + + const openai = new OpenAI({ fetch, apiKey: 'My API Key' }); + const requestPromise = requestFn(openai); + + await handleRequest(() => + Promise.resolve( + new Response( + // remove leading & trailing quotes + data.slice(2, -2), + { + status: 200, + headers: { 'content-type': 'application/json' }, + }, + ), + ), + ); + + return await requestPromise; +} + +export async function makeStreamSnapshotRequest>( + requestFn: (client: OpenAI) => T, +): Promise { + if (process.env['UPDATE_API_SNAPSHOTS'] === '1') { + var capturedResponseContent: string | null = null; + + async function fetch(url: RequestInfo, init?: RequestInit) { + const response = await defaultFetch(url, init); + capturedResponseContent = await response.text(); + return new Response(Readable.from(capturedResponseContent), response); + } + + const openai = new OpenAI({ fetch }); + + const iterator = requestFn(openai); + for await (const _ of iterator) { + // consume iterator + } + + if (!capturedResponseContent) { + throw new Error('did not capture a response'); + } + + const text = capturedResponseContent; + expect(text).toMatchSnapshot(); + return iterator; + } + + const qualifiedSnapshotName = `${expect.getState().currentTestName} 1`; + const snapshotState = expect.getState()['snapshotState']; + (snapshotState._uncheckedKeys as Set).delete(qualifiedSnapshotName); + + const data = snapshotState._snapshotData[qualifiedSnapshotName]; + if (!data) { + throw new Error(`could not resolve snapshot with name ${qualifiedSnapshotName}`); + } + if (typeof data !== 'string') { + console.error(data); + throw new Error('Expected snapshot data to be a string'); + } + + const { fetch, handleRequest } = mockFetch(); + + const openai = new OpenAI({ fetch, apiKey: 'My API Key' }); + const requestPromise = requestFn(openai); + + await handleRequest(() => + Promise.resolve( + new Response( + // remove leading & trailing quotes + Readable.from(data.slice(2, -2)), + { + status: 200, + headers: { 'content-type': 'application/json' }, + }, + ), + ), + ); + + return requestPromise; +} diff --git a/tests/utils/typing.ts b/tests/utils/typing.ts new file mode 100644 index 000000000..4a791d2a7 --- /dev/null +++ b/tests/utils/typing.ts @@ -0,0 +1,9 @@ +type Equal = (() => T extends X ? 1 : 2) extends () => T extends Y ? 1 : 2 ? true : false; + +export const expectType = (_expression: T): void => { + return; +}; + +export const compareType = (_expression: Equal): void => { + return; +}; diff --git a/tsc-multi.json b/tsc-multi.json new file mode 100644 index 000000000..4facad5ad --- /dev/null +++ b/tsc-multi.json @@ -0,0 +1,7 @@ +{ + "targets": [ + { "extname": ".js", "module": "commonjs" }, + { "extname": ".mjs", "module": "esnext" } + ], + "projects": ["tsconfig.build.json"] +} diff --git a/tsconfig.build.json b/tsconfig.build.json new file mode 100644 index 000000000..45811cb8b --- /dev/null +++ b/tsconfig.build.json @@ -0,0 +1,18 @@ +{ + "extends": "./tsconfig.json", + "include": ["dist/src"], + "exclude": ["dist/src/_shims/*-deno.ts"], + "compilerOptions": { + "rootDir": "./dist/src", + "paths": { + "openai/*": ["dist/src/*"], + "openai": ["dist/src/index.ts"], + }, + "noEmit": false, + "declaration": true, + "declarationMap": true, + "outDir": "dist", + "pretty": true, + "sourceMap": true + } +} diff --git a/tsconfig.deno.json b/tsconfig.deno.json new file mode 100644 index 000000000..849e070db --- /dev/null +++ b/tsconfig.deno.json @@ -0,0 +1,15 @@ +{ + "extends": "./tsconfig.json", + "include": ["dist-deno"], + "exclude": [], + "compilerOptions": { + "rootDir": "./dist-deno", + "lib": ["es2020", "DOM"], + "noEmit": true, + "declaration": true, + "declarationMap": true, + "outDir": "dist-deno", + "pretty": true, + "sourceMap": true + } +} diff --git a/tsconfig.dist-src.json b/tsconfig.dist-src.json new file mode 100644 index 000000000..e9f2d70b0 --- /dev/null +++ b/tsconfig.dist-src.json @@ -0,0 +1,11 @@ +{ + // this config is included in the published src directory to prevent TS errors + // from appearing when users go to source, and VSCode opens the source .ts file + // via declaration maps + "include": ["index.ts"], + "compilerOptions": { + "target": "es2015", + "lib": ["DOM"], + "moduleResolution": "node" + } +} diff --git a/tsconfig.json b/tsconfig.json index 2e9a191f8..33767f7b1 100644 --- a/tsconfig.json +++ b/tsconfig.json @@ -1,17 +1,39 @@ { + "include": ["src", "tests", "examples"], + "exclude": ["src/_shims/**/*-deno.ts"], "compilerOptions": { - "declaration": true, - "target": "es6", + "target": "es2020", + "lib": ["es2020"], "module": "commonjs", + "moduleResolution": "node", + "esModuleInterop": true, + "baseUrl": "./", + "paths": { + "openai/_shims/auto/*": ["src/_shims/auto/*-node"], + "openai/*": ["src/*"], + "openai": ["src/index.ts"] + }, + "noEmit": true, + + "resolveJsonModule": true, + + "forceConsistentCasingInFileNames": true, + + "strict": true, "noImplicitAny": true, - "outDir": "dist", - "rootDir": ".", - "typeRoots": [ - "node_modules/@types" - ] - }, - "exclude": [ - "dist", - "node_modules" - ] + "strictNullChecks": true, + "strictFunctionTypes": true, + "strictBindCallApply": true, + "strictPropertyInitialization": true, + "noImplicitThis": true, + "noImplicitReturns": true, + "alwaysStrict": true, + "exactOptionalPropertyTypes": true, + "noUncheckedIndexedAccess": true, + "noImplicitOverride": true, + "noPropertyAccessFromIndexSignature": true, + "isolatedModules": true, + + "skipLibCheck": true + } } diff --git a/yarn.lock b/yarn.lock new file mode 100644 index 000000000..ad5fb7630 --- /dev/null +++ b/yarn.lock @@ -0,0 +1,3508 @@ +# THIS IS AN AUTOGENERATED FILE. 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