diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile
deleted file mode 100644
index d03365a2b..000000000
--- a/.devcontainer/Dockerfile
+++ /dev/null
@@ -1,19 +0,0 @@
-# syntax=docker/dockerfile:1
-FROM debian:bookworm-slim AS stainless
-
-RUN apt-get update && apt-get install -y \
-  nodejs \
-  npm \
-  yarnpkg \
-  && apt-get clean autoclean
-
-# Yarn
-RUN ln -sf /usr/bin/yarnpkg /usr/bin/yarn
-
-WORKDIR /workspace
-
-COPY package.json yarn.lock /workspace/
-
-RUN yarn install
-
-COPY . /workspace
diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json
index d55fc4d67..763462fad 100644
--- a/.devcontainer/devcontainer.json
+++ b/.devcontainer/devcontainer.json
@@ -1,20 +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": "Debian",
-  "build": {
-    "dockerfile": "Dockerfile"
+  "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"
+      ]
+    }
   }
-
-  // Features to add to the dev container. More info: https://containers.dev/features.
-  // "features": {},
-
-  // Use 'forwardPorts' to make a list of ports inside the container available locally.
-  // "forwardPorts": [],
-
-  // Configure tool-specific properties.
-  // "customizations": {},
-
-  // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root.
-  // "remoteUser": "root"
 }
diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS
index 3ce5f8d00..d58c8454c 100644
--- a/.github/CODEOWNERS
+++ b/.github/CODEOWNERS
@@ -1 +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/workflows/ci.yml b/.github/workflows/ci.yml
index b342025cc..09f1636b6 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -1,30 +1,135 @@
 name: CI
 on:
   push:
-    branches:
-      - master
-  pull_request:
-    branches:
-      - master
+    branches-ignore:
+      - 'generated'
+      - 'codegen/**'
+      - 'integrated/**'
+      - 'stl-preview-head/**'
+      - 'stl-preview-base/**'
 
 jobs:
   lint:
+    timeout-minutes: 10
     name: lint
-    runs-on: ubuntu-latest
-    if: github.repository == 'openai/openai-node'
+    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@v3
+      - uses: actions/checkout@v4
 
       - name: Set up Node
-        uses: actions/setup-node@v3
+        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
 
-      - name: Check types
+      - 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 build
+          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
index 7ecd6282a..19b7dd831 100644
--- a/.github/workflows/create-releases.yml
+++ b/.github/workflows/create-releases.yml
@@ -12,9 +12,12 @@ jobs:
     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@v3
+      - uses: actions/checkout@v4
 
       - uses: stainless-api/trigger-release-please@v1
         id: release
@@ -22,27 +25,12 @@ jobs:
           repo: ${{ github.event.repository.full_name }}
           stainless-api-key: ${{ secrets.STAINLESS_API_KEY }}
 
-      - name: Generate a token
-        id: generate_token
-        uses: actions/create-github-app-token@v1
-        with:
-          app-id: ${{ secrets.APP_ID }}
-          private-key: ${{ secrets.APP_PRIVATE_KEY }}
-          owner: 'openai'
-          repositories: 'openai-node,openai-deno-build'
-
       - name: Set up Node
         if: ${{ steps.release.outputs.releases_created }}
         uses: actions/setup-node@v3
         with:
           node-version: '18'
 
-      - name: Set up Deno
-        if: ${{ steps.release.outputs.releases_created }}
-        uses: denoland/setup-deno@v1
-        with:
-          deno-version: v1.35.1
-
       - name: Install dependencies
         if: ${{ steps.release.outputs.releases_created }}
         run: |
@@ -55,10 +43,8 @@ jobs:
         env:
           NPM_TOKEN: ${{ secrets.OPENAI_NPM_TOKEN || secrets.NPM_TOKEN }}
 
-      - name: Publish to Deno
+      - name: Publish to JSR
         if: ${{ steps.release.outputs.releases_created }}
         run: |
-          bash ./scripts/git-publish-deno.sh
-        env:
-          DENO_PUSH_REMOTE_URL: https://username:${{ steps.generate_token.outputs.token }}@github.com/openai/openai-deno-build.git
-          DENO_PUSH_BRANCH: main
+          bash ./bin/publish-jsr
+
diff --git a/.github/workflows/publish-deno.yml b/.github/workflows/publish-deno.yml
deleted file mode 100644
index 578b592b3..000000000
--- a/.github/workflows/publish-deno.yml
+++ /dev/null
@@ -1,44 +0,0 @@
-# workflow for re-running publishing to Deno 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-deno.yml
-name: Publish Deno
-on:
-  workflow_dispatch:
-
-jobs:
-  publish:
-    name: publish
-    runs-on: ubuntu-latest
-    environment: publish
-
-    steps:
-      - uses: actions/checkout@v3
-
-      - name: Generate a token
-        id: generate_token
-        uses: actions/create-github-app-token@v1
-        with:
-          app-id: ${{ secrets.APP_ID }}
-          private-key: ${{ secrets.APP_PRIVATE_KEY }}
-          owner: 'openai'
-          repositories: 'openai-node,openai-deno-build'
-
-      - name: Set up Node
-        uses: actions/setup-node@v3
-        with:
-          node-version: '18'
-
-      - name: Set up Deno
-        uses: denoland/setup-deno@v1
-        with:
-          deno-version: v1.35.1
-
-      - name: Install dependencies
-        run: |
-          yarn install
-
-      - name: Publish to Deno
-        run: |
-          bash ./scripts/git-publish-deno.sh
-        env:
-          DENO_PUSH_REMOTE_URL: https://username:${{ steps.generate_token.outputs.token }}@github.com/openai/openai-deno-build.git
-          DENO_PUSH_BRANCH: main
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
index 2258ec560..0662a79c5 100644
--- a/.github/workflows/publish-npm.yml
+++ b/.github/workflows/publish-npm.yml
@@ -11,12 +11,12 @@ jobs:
     environment: publish
 
     steps:
-      - uses: actions/checkout@v3
+      - uses: actions/checkout@v4
 
       - name: Set up Node
         uses: actions/setup-node@v3
         with:
-          node-version: '18'
+          node-version: '20'
 
       - name: Install dependencies
         run: |
diff --git a/.github/workflows/release-doctor.yml b/.github/workflows/release-doctor.yml
index b640869d0..37bc09e80 100644
--- a/.github/workflows/release-doctor.yml
+++ b/.github/workflows/release-doctor.yml
@@ -13,7 +13,7 @@ jobs:
     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@v3
+      - uses: actions/checkout@v4
 
       - name: Check release environment
         run: |
@@ -21,3 +21,4 @@ jobs:
         env:
           STAINLESS_API_KEY: ${{ secrets.STAINLESS_API_KEY }}
           NPM_TOKEN: ${{ secrets.OPENAI_NPM_TOKEN || secrets.NPM_TOKEN }}
+
diff --git a/.gitignore b/.gitignore
index 58b3944a1..3fdab1cb7 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,7 +1,14 @@
+.prism.log
 node_modules
 yarn-error.log
 codegen.log
+Brewfile.lock.json
 dist
-/deno
+dist-deno
 /*.tgz
 .idea/
+tmp
+.pack
+ecosystem-tests/deno/package.json
+ecosystem-tests/*/openai.tgz
+.dev.vars
diff --git a/.prettierignore b/.prettierignore
index fc6160fb1..3548c5af9 100644
--- a/.prettierignore
+++ b/.prettierignore
@@ -1,5 +1,5 @@
 CHANGELOG.md
-/ecosystem-tests
+/ecosystem-tests/*/**
 /node_modules
 /deno
 
diff --git a/.release-please-manifest.json b/.release-please-manifest.json
index 8d5375100..989bed91e 100644
--- a/.release-please-manifest.json
+++ b/.release-please-manifest.json
@@ -1,3 +1,3 @@
 {
-  ".": "4.28.3"
+  ".": "4.100.0"
 }
diff --git a/.stats.yml b/.stats.yml
index c550abf3c..afa33d93b 100644
--- a/.stats.yml
+++ b/.stats.yml
@@ -1 +1,4 @@
-configured_endpoints: 51
+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
index 274b8e8a5..adda41e52 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,1887 @@
 # 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)
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 61f37370f..dde09d52d 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -1,38 +1,38 @@
 ## Setting up the environment
 
-This repository uses [`yarn@v1`](https://classic.yarnpkg.com/lang/en/docs/install/#mac-stable).
+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 setup the repository, run:
+To set up the repository, run:
 
-```bash
-yarn
-yarn build
+```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, and any modified code will be overridden on the next generation. The
-`src/lib/` and `examples/` directories are exceptions and will never be overridden.
+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 Stainless generator and can be freely edited or
-added to.
+All files in the `examples/` directory are not modified by the generator and can be freely edited or added to.
 
-```bash
+```ts
 // add an example to examples/<your-example>.ts
 
 #!/usr/bin/env -S npm run tsn -T
 …
 ```
 
-```
-chmod +x examples/<your-example>.ts
+```sh
+$ chmod +x examples/<your-example>.ts
 # run the example against your api
-yarn tsn -T examples/<your-example>.ts
+$ yarn tsn -T examples/<your-example>.ts
 ```
 
 ## Using the repository from source
@@ -41,38 +41,38 @@ If you’d like to use the repository from source, you can either install from g
 
 To install via git:
 
-```bash
-npm install --save git+ssh://git@github.com:openai/openai-node.git
+```sh
+$ npm install git+ssh://git@github.com:openai/openai-node.git
 ```
 
 Alternatively, to link a local copy of the repo:
 
-```bash
+```sh
 # Clone
-git clone https://www.github.com/openai/openai-node
-cd openai-node
+$ git clone https://www.github.com/openai/openai-node
+$ cd openai-node
 
 # With yarn
-yarn link
-cd ../my-package
-yarn link openai
+$ yarn link
+$ cd ../my-package
+$ yarn link openai
 
 # With pnpm
-pnpm link --global
-cd ../my-package
-pnpm link -—global openai
+$ pnpm link --global
+$ cd ../my-package
+$ pnpm link -—global openai
 ```
 
 ## Running tests
 
-Most tests will require you to [setup a mock server](https://github.com/stoplightio/prism) against the OpenAPI spec to run the tests.
+Most tests require you to [set up a mock server](https://github.com/stoplightio/prism) against the OpenAPI spec to run the tests.
 
-```bash
-npx prism path/to/your/openapi.yml
+```sh
+$ npx prism mock path/to/your/openapi.yml
 ```
 
-```bash
-yarn run test
+```sh
+$ yarn run test
 ```
 
 ## Linting and formatting
@@ -82,14 +82,14 @@ This repository uses [prettier](https://www.npmjs.com/package/prettier) and
 
 To lint:
 
-```bash
-yarn lint
+```sh
+$ yarn lint
 ```
 
 To format and fix all lint issues automatically:
 
-```bash
-yarn fix
+```sh
+$ yarn fix
 ```
 
 ## Publishing and releases
@@ -99,7 +99,7 @@ the changes aren't made through the automated pipeline, you may want to make rel
 
 ### 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 will require a setup organization or repository secret to be set up.
+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
 
diff --git a/LICENSE b/LICENSE
index 621a6becf..f011417af 100644
--- a/LICENSE
+++ b/LICENSE
@@ -186,7 +186,7 @@
       same "printed page" as the copyright notice for easier
       identification within third-party archives.
 
-   Copyright 2024 OpenAI
+   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.
diff --git a/README.md b/README.md
index c7779e79a..bbf72226a 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
-# OpenAI Node API Library
+# OpenAI TypeScript and JavaScript API Library
 
-[![NPM version](https://img.shields.io/npm/v/openai.svg)](https://npmjs.org/package/openai)
+[![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)
 
 This library provides convenient access to the OpenAI REST API from TypeScript or JavaScript.
 
@@ -11,223 +11,85 @@ To learn how to use the OpenAI API, check out our [API Reference](https://platfo
 ## Installation
 
 ```sh
-npm install --save openai
-# or
-yarn add openai
+npm install openai
 ```
 
-You can import in Deno via:
+### Installation from JSR
 
-<!-- x-release-please-start-version -->
-
-```ts
-import OpenAI from 'https://deno.land/x/openai@v4.28.3/mod.ts';
-```
-
-<!-- x-release-please-end -->
-
-## Usage
-
-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 code below shows how to get started using the chat completions API.
-
-<!-- prettier-ignore -->
-```js
-import OpenAI from 'openai';
-
-const openai = new OpenAI({
-  apiKey: process.env['OPENAI_API_KEY'], // This is the default and can be omitted
-});
-
-async function main() {
-  const chatCompletion = await openai.chat.completions.create({
-    messages: [{ role: 'user', content: 'Say this is a test' }],
-    model: 'gpt-3.5-turbo',
-  });
-}
-
-main();
+```sh
+deno add jsr:@openai/openai
+npx jsr add @openai/openai
 ```
 
-## Streaming Responses
-
-We provide support for streaming responses using Server Sent Events (SSE).
+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 'openai';
-
-const openai = new OpenAI();
-
-async function main() {
-  const stream = await openai.chat.completions.create({
-    model: 'gpt-4',
-    messages: [{ role: 'user', content: 'Say this is a test' }],
-    stream: true,
-  });
-  for await (const chunk of stream) {
-    process.stdout.write(chunk.choices[0]?.delta?.content || '');
-  }
-}
-
-main();
+import OpenAI from 'jsr:@openai/openai';
 ```
 
-If you need to cancel a stream, you can `break` from the loop
-or call `stream.controller.abort()`.
+## Usage
 
-### Request & Response types
+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).
 
-This library includes TypeScript definitions for all request params and response fields. You may import and use them like so:
+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.
 
-<!-- prettier-ignore -->
 ```ts
 import OpenAI from 'openai';
 
-const openai = new OpenAI({
+const client = new OpenAI({
   apiKey: process.env['OPENAI_API_KEY'], // This is the default and can be omitted
 });
 
-async function main() {
-  const params: OpenAI.Chat.ChatCompletionCreateParams = {
-    messages: [{ role: 'user', content: 'Say this is a test' }],
-    model: 'gpt-3.5-turbo',
-  };
-  const chatCompletion: OpenAI.Chat.ChatCompletion = await openai.chat.completions.create(params);
-}
+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?',
+});
 
-main();
+console.log(response.output_text);
 ```
 
-Documentation for each method, request param, and response field are available in docstrings and will appear on hover in most modern editors.
-
-> [!IMPORTANT]
-> Previous versions of this SDK used a `Configuration` class. See the [v3 to v4 migration guide](https://github.com/openai/openai-node/discussions/217).
-
-### Streaming responses
-
-This library provides several conveniences for streaming chat completions, for example:
+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 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,
-  });
-
-  stream.on('content', (delta, snapshot) => {
-    process.stdout.write(delta);
-  });
-
-  // or, equivalently:
-  for await (const chunk of stream) {
-    process.stdout.write(chunk.choices[0]?.delta?.content || '');
-  }
+const client = new OpenAI({
+  apiKey: process.env['OPENAI_API_KEY'], // This is the default and can be omitted
+});
 
-  const chatCompletion = await stream.finalChatCompletion();
-  console.log(chatCompletion); // {id: "…", choices: […], …}
-}
+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?' },
+  ],
+});
 
-main();
+console.log(completion.choices[0].message.content);
 ```
 
-Streaming with `openai.beta.chat.completions.stream({…})` exposes
-[various helpers for your convenience](helpers.md#events) including event handlers and promises.
+## Streaming responses
 
-Alternatively, you can use `openai.chat.completions.create({ stream: true, … })`
-which only returns an async iterable of the chunks in the stream and thus uses less memory
-(it does not build up 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()`.
-
-### 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).
+We provide support for streaming responses using Server Sent Events (SSE).
 
 ```ts
 import OpenAI from 'openai';
 
 const client = new OpenAI();
 
-async function main() {
-  const runner = client.beta.chat.completions
-    .runTools({
-      model: 'gpt-3.5-turbo',
-      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
-}
+const stream = await client.responses.create({
+  model: 'gpt-4o',
+  input: 'Say "Sheep sleep deep" ten times fast!',
+  stream: true,
+});
 
-async function getWeather(args: { location: string }) {
-  const { location } = args;
-  // … do lookup …
-  return { temperature, precipitation };
+for await (const event of stream) {
+  console.log(event);
 }
-
-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#events).
-
-Note that `runFunctions` was previously available as well, but has been deprecated in favor of `runTools`.
-
-Read more about various examples such as with integrating with [zod](helpers.md#integrate-with-zod),
-[next.js](helpers.md#integrate-wtih-next-js), and [proxying a stream to the browser](helpers.md#proxy-streaming-to-a-browser).
-
-## File Uploads
+## File uploads
 
 Request parameters that correspond to file uploads can be passed in many different forms:
 
@@ -241,23 +103,23 @@ import fs from 'fs';
 import fetch from 'node-fetch';
 import OpenAI, { toFile } from 'openai';
 
-const openai = new OpenAI();
+const client = new OpenAI();
 
 // If you have access to Node `fs` we recommend using `fs.createReadStream()`:
-await openai.files.create({ file: fs.createReadStream('input.jsonl'), purpose: 'fine-tune' });
+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 openai.files.create({ file: new File(['my bytes'], 'input.jsonl'), purpose: 'fine-tune' });
+await client.files.create({ file: new File(['my bytes'], 'input.jsonl'), purpose: 'fine-tune' });
 
 // You can also pass a `fetch` `Response`:
-await openai.files.create({ file: await fetch('http://github.com/service/https://somesite/input.jsonl'), purpose: 'fine-tune' });
+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 openai.files.create({
+await client.files.create({
   file: await toFile(Buffer.from('my bytes'), 'input.jsonl'),
   purpose: 'fine-tune',
 });
-await openai.files.create({
+await client.files.create({
   file: await toFile(new Uint8Array([0, 1, 2]), 'input.jsonl'),
   purpose: 'fine-tune',
 });
@@ -272,10 +134,11 @@ a subclass of `APIError` will be thrown:
 <!-- prettier-ignore -->
 ```ts
 async function main() {
-  const job = await openai.fineTuning.jobs
-    .create({ model: 'gpt-3.5-turbo', training_file: 'file-abc123' })
-    .catch((err) => {
+  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', ...}
@@ -288,7 +151,7 @@ async function main() {
 main();
 ```
 
-Error codes are as followed:
+Error codes are as follows:
 
 | Status Code | Error Type                 |
 | ----------- | -------------------------- |
@@ -301,15 +164,6 @@ Error codes are as followed:
 | >=500       | `InternalServerError`      |
 | N/A         | `APIConnectionError`       |
 
-### Azure OpenAI
-
-An example of using this library with Azure OpenAI can be found [here](https://github.com/openai/openai-node/blob/master/examples/azure.ts).
-
-Please note there are subtle differences in API shape & behavior between the Azure OpenAI API and the OpenAI API,
-so using this library with Azure OpenAI may result in incorrect types, which can lead to bugs.
-
-See [`@azure/openai`](https://www.npmjs.com/package/@azure/openai) for an Azure-specific SDK provided by Microsoft.
-
 ### Retries
 
 Certain errors will be automatically retried 2 times by default, with a short exponential backoff.
@@ -321,12 +175,12 @@ You can use the `maxRetries` option to configure or disable this:
 <!-- prettier-ignore -->
 ```js
 // Configure the default for all requests:
-const openai = new OpenAI({
+const client = new OpenAI({
   maxRetries: 0, // default is 2
 });
 
 // Or, configure per-request:
-await openai.chat.completions.create({ messages: [{ role: 'user', content: 'How can I get the name of the current day in Node.js?' }], model: 'gpt-3.5-turbo' }, {
+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,
 });
 ```
@@ -338,12 +192,12 @@ Requests time out after 10 minutes by default. You can configure this with a `ti
 <!-- prettier-ignore -->
 ```ts
 // Configure the default for all requests:
-const openai = new OpenAI({
+const client = new OpenAI({
   timeout: 20 * 1000, // 20 seconds (default is 10 minutes)
 });
 
 // Override per-request:
-await openai.chat.completions.create({ messages: [{ role: 'user', content: 'How can I list all files in a directory using Python?' }], model: 'gpt-3.5-turbo' }, {
+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,
 });
 ```
@@ -352,37 +206,103 @@ 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 `for await … of` syntax to iterate through items across all pages:
+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 openai.fineTuning.jobs.list({ limit: 20 })) {
+  for await (const fineTuningJob of client.fineTuning.jobs.list({ limit: 20 })) {
     allFineTuningJobs.push(fineTuningJob);
   }
   return allFineTuningJobs;
 }
 ```
 
-Alternatively, you can make request a single page at a time:
+Alternatively, you can request a single page at a time:
 
 ```ts
-let page = await openai.fineTuning.jobs.list({ limit: 20 });
+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 = page.getNextPage();
+  page = await page.getNextPage();
   // ...
 }
 ```
 
+## 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: "<The API version, e.g. 2024-10-01-preview>" });
+
+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)
@@ -393,22 +313,73 @@ You can also use the `.withResponse()` method to get the raw `Response` along wi
 
 <!-- prettier-ignore -->
 ```ts
-const openai = new OpenAI();
+const client = new OpenAI();
 
-const response = await openai.chat.completions
-  .create({ messages: [{ role: 'user', content: 'Say this is a test' }], model: 'gpt-3.5-turbo' })
+const httpResponse = await client.responses
+  .create({ model: 'gpt-4o', input: 'say this is a test.' })
   .asResponse();
-console.log(response.headers.get('X-My-Header'));
-console.log(response.statusText); // access the underlying Response object
 
-const { data: chatCompletion, response: raw } = await openai.chat.completions
-  .create({ messages: [{ role: 'user', content: 'Say this is a test' }], model: 'gpt-3.5-turbo' })
+// 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(chatCompletion);
+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' },
+});
 ```
 
-## Customizing the fetch client
+#### 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.
 
@@ -424,7 +395,9 @@ 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 [here](https://github.com/openai/openai-node/tree/master/src/_shims#readme).
+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:
@@ -434,7 +407,7 @@ import { fetch } from 'undici'; // as one example
 import OpenAI from 'openai';
 
 const client = new OpenAI({
-  fetch: async (url: RequestInfo, init?: RequestInfo): Promise<Response> => {
+  fetch: async (url: RequestInfo, init?: RequestInit): Promise<Response> => {
     console.log('About to make a request', url, init);
     const response = await fetch(url, init);
     console.log('Got response', response);
@@ -446,7 +419,7 @@ const client = new OpenAI({
 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)
+### 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.
 
@@ -455,26 +428,25 @@ If you would like to disable or customize this behavior, for example to use the
 <!-- prettier-ignore -->
 ```ts
 import http from 'http';
-import HttpsProxyAgent from 'https-proxy-agent';
+import { HttpsProxyAgent } from 'https-proxy-agent';
 
 // Configure the default for all requests:
-const openai = new OpenAI({
+const client = new OpenAI({
   httpAgent: new HttpsProxyAgent(process.env.PROXY_URL),
 });
 
 // Override per-request:
-await openai.models.list({
-  baseURL: 'http://localhost:8080/test-api',
+await client.models.list({
   httpAgent: new http.Agent({ keepAlive: false }),
-})
+});
 ```
 
-## Semantic Versioning
+## 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)_.
+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.
@@ -488,13 +460,35 @@ 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, using `import OpenAI from "npm:openai"`.
+- 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'.
+  <details>
+    <summary>More explanation</summary>
+
+  ### 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?
+
+  In certain scenarios where enabling browser support might not pose significant risks:
+
+  - 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.
+
+</details>
 
 Note that React Native is not supported at this time.
 
 If you are interested in other runtime environments, please open or upvote an issue on GitHub.
+
+## Contributing
+
+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
index 68d8545cc..cad696e7e 100644
--- a/api.md
+++ b/api.md
@@ -2,8 +2,20 @@
 
 Types:
 
+- <code><a href="http://github.com/src/resources/shared.ts">AllModels</a></code>
+- <code><a href="http://github.com/src/resources/shared.ts">ChatModel</a></code>
+- <code><a href="http://github.com/src/resources/shared.ts">ComparisonFilter</a></code>
+- <code><a href="http://github.com/src/resources/shared.ts">CompoundFilter</a></code>
+- <code><a href="http://github.com/src/resources/shared.ts">ErrorObject</a></code>
 - <code><a href="http://github.com/src/resources/shared.ts">FunctionDefinition</a></code>
 - <code><a href="http://github.com/src/resources/shared.ts">FunctionParameters</a></code>
+- <code><a href="http://github.com/src/resources/shared.ts">Metadata</a></code>
+- <code><a href="http://github.com/src/resources/shared.ts">Reasoning</a></code>
+- <code><a href="http://github.com/src/resources/shared.ts">ReasoningEffort</a></code>
+- <code><a href="http://github.com/src/resources/shared.ts">ResponseFormatJSONObject</a></code>
+- <code><a href="http://github.com/src/resources/shared.ts">ResponseFormatJSONSchema</a></code>
+- <code><a href="http://github.com/src/resources/shared.ts">ResponseFormatText</a></code>
+- <code><a href="http://github.com/src/resources/shared.ts">ResponsesModel</a></code>
 
 # Completions
 
@@ -19,34 +31,59 @@ Methods:
 
 # Chat
 
+Types:
+
+- <code><a href="http://github.com/src/resources/chat/chat.ts">ChatModel</a></code>
+
 ## Completions
 
 Types:
 
-- <code><a href="http://github.com/src/resources/chat/completions.ts">ChatCompletion</a></code>
-- <code><a href="http://github.com/src/resources/chat/completions.ts">ChatCompletionAssistantMessageParam</a></code>
-- <code><a href="http://github.com/src/resources/chat/completions.ts">ChatCompletionChunk</a></code>
-- <code><a href="http://github.com/src/resources/chat/completions.ts">ChatCompletionContentPart</a></code>
-- <code><a href="http://github.com/src/resources/chat/completions.ts">ChatCompletionContentPartImage</a></code>
-- <code><a href="http://github.com/src/resources/chat/completions.ts">ChatCompletionContentPartText</a></code>
-- <code><a href="http://github.com/src/resources/chat/completions.ts">ChatCompletionFunctionCallOption</a></code>
-- <code><a href="http://github.com/src/resources/chat/completions.ts">ChatCompletionFunctionMessageParam</a></code>
-- <code><a href="http://github.com/src/resources/chat/completions.ts">ChatCompletionMessage</a></code>
-- <code><a href="http://github.com/src/resources/chat/completions.ts">ChatCompletionMessageParam</a></code>
-- <code><a href="http://github.com/src/resources/chat/completions.ts">ChatCompletionMessageToolCall</a></code>
-- <code><a href="http://github.com/src/resources/chat/completions.ts">ChatCompletionNamedToolChoice</a></code>
-- <code><a href="http://github.com/src/resources/chat/completions.ts">ChatCompletionRole</a></code>
-- <code><a href="http://github.com/src/resources/chat/completions.ts">ChatCompletionSystemMessageParam</a></code>
-- <code><a href="http://github.com/src/resources/chat/completions.ts">ChatCompletionTokenLogprob</a></code>
-- <code><a href="http://github.com/src/resources/chat/completions.ts">ChatCompletionTool</a></code>
-- <code><a href="http://github.com/src/resources/chat/completions.ts">ChatCompletionToolChoiceOption</a></code>
-- <code><a href="http://github.com/src/resources/chat/completions.ts">ChatCompletionToolMessageParam</a></code>
-- <code><a href="http://github.com/src/resources/chat/completions.ts">ChatCompletionUserMessageParam</a></code>
-- <code><a href="http://github.com/src/resources/chat/completions.ts">CreateChatCompletionRequestMessage</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletion</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionAssistantMessageParam</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionAudio</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionAudioParam</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionChunk</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionContentPart</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionContentPartImage</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionContentPartInputAudio</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionContentPartRefusal</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionContentPartText</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionDeleted</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionDeveloperMessageParam</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionFunctionCallOption</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionFunctionMessageParam</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionMessage</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionMessageParam</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionMessageToolCall</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionModality</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionNamedToolChoice</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionPredictionContent</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionRole</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionStoreMessage</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionStreamOptions</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionSystemMessageParam</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionTokenLogprob</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionTool</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionToolChoiceOption</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionToolMessageParam</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionUserMessageParam</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">CreateChatCompletionRequestMessage</a></code>
+- <code><a href="http://github.com/src/resources/chat/completions/completions.ts">ChatCompletionReasoningEffort</a></code>
+
+Methods:
+
+- <code title="post /chat/completions">client.chat.completions.<a href="http://github.com/src/resources/chat/completions/completions.ts">create</a>({ ...params }) -> ChatCompletion</code>
+- <code title="get /chat/completions/{completion_id}">client.chat.completions.<a href="http://github.com/src/resources/chat/completions/completions.ts">retrieve</a>(completionId) -> ChatCompletion</code>
+- <code title="post /chat/completions/{completion_id}">client.chat.completions.<a href="http://github.com/src/resources/chat/completions/completions.ts">update</a>(completionId, { ...params }) -> ChatCompletion</code>
+- <code title="get /chat/completions">client.chat.completions.<a href="http://github.com/src/resources/chat/completions/completions.ts">list</a>({ ...params }) -> ChatCompletionsPage</code>
+- <code title="delete /chat/completions/{completion_id}">client.chat.completions.<a href="http://github.com/src/resources/chat/completions/completions.ts">del</a>(completionId) -> ChatCompletionDeleted</code>
+
+### Messages
 
 Methods:
 
-- <code title="post /chat/completions">client.chat.completions.<a href="http://github.com/src/resources/chat/completions.ts">create</a>({ ...params }) -> ChatCompletion</code>
+- <code title="get /chat/completions/{completion_id}/messages">client.chat.completions.messages.<a href="http://github.com/src/resources/chat/completions/messages.ts">list</a>(completionId, { ...params }) -> ChatCompletionStoreMessagesPage</code>
 
 # Embeddings
 
@@ -54,6 +91,7 @@ Types:
 
 - <code><a href="http://github.com/src/resources/embeddings.ts">CreateEmbeddingResponse</a></code>
 - <code><a href="http://github.com/src/resources/embeddings.ts">Embedding</a></code>
+- <code><a href="http://github.com/src/resources/embeddings.ts">EmbeddingModel</a></code>
 
 Methods:
 
@@ -66,6 +104,7 @@ Types:
 - <code><a href="http://github.com/src/resources/files.ts">FileContent</a></code>
 - <code><a href="http://github.com/src/resources/files.ts">FileDeleted</a></code>
 - <code><a href="http://github.com/src/resources/files.ts">FileObject</a></code>
+- <code><a href="http://github.com/src/resources/files.ts">FilePurpose</a></code>
 
 Methods:
 
@@ -82,6 +121,7 @@ Methods:
 Types:
 
 - <code><a href="http://github.com/src/resources/images.ts">Image</a></code>
+- <code><a href="http://github.com/src/resources/images.ts">ImageModel</a></code>
 - <code><a href="http://github.com/src/resources/images.ts">ImagesResponse</a></code>
 
 Methods:
@@ -92,28 +132,47 @@ Methods:
 
 # Audio
 
+Types:
+
+- <code><a href="http://github.com/src/resources/audio/audio.ts">AudioModel</a></code>
+- <code><a href="http://github.com/src/resources/audio/audio.ts">AudioResponseFormat</a></code>
+
 ## Transcriptions
 
 Types:
 
 - <code><a href="http://github.com/src/resources/audio/transcriptions.ts">Transcription</a></code>
+- <code><a href="http://github.com/src/resources/audio/transcriptions.ts">TranscriptionInclude</a></code>
+- <code><a href="http://github.com/src/resources/audio/transcriptions.ts">TranscriptionSegment</a></code>
+- <code><a href="http://github.com/src/resources/audio/transcriptions.ts">TranscriptionStreamEvent</a></code>
+- <code><a href="http://github.com/src/resources/audio/transcriptions.ts">TranscriptionTextDeltaEvent</a></code>
+- <code><a href="http://github.com/src/resources/audio/transcriptions.ts">TranscriptionTextDoneEvent</a></code>
+- <code><a href="http://github.com/src/resources/audio/transcriptions.ts">TranscriptionVerbose</a></code>
+- <code><a href="http://github.com/src/resources/audio/transcriptions.ts">TranscriptionWord</a></code>
+- <code><a href="http://github.com/src/resources/audio/transcriptions.ts">TranscriptionCreateResponse</a></code>
 
 Methods:
 
-- <code title="post /audio/transcriptions">client.audio.transcriptions.<a href="http://github.com/src/resources/audio/transcriptions.ts">create</a>({ ...params }) -> Transcription</code>
+- <code title="post /audio/transcriptions">client.audio.transcriptions.<a href="http://github.com/src/resources/audio/transcriptions.ts">create</a>({ ...params }) -> TranscriptionCreateResponse</code>
 
 ## Translations
 
 Types:
 
 - <code><a href="http://github.com/src/resources/audio/translations.ts">Translation</a></code>
+- <code><a href="http://github.com/src/resources/audio/translations.ts">TranslationVerbose</a></code>
+- <code><a href="http://github.com/src/resources/audio/translations.ts">TranslationCreateResponse</a></code>
 
 Methods:
 
-- <code title="post /audio/translations">client.audio.translations.<a href="http://github.com/src/resources/audio/translations.ts">create</a>({ ...params }) -> Translation</code>
+- <code title="post /audio/translations">client.audio.translations.<a href="http://github.com/src/resources/audio/translations.ts">create</a>({ ...params }) -> TranslationCreateResponse</code>
 
 ## Speech
 
+Types:
+
+- <code><a href="http://github.com/src/resources/audio/speech.ts">SpeechModel</a></code>
+
 Methods:
 
 - <code title="post /audio/speech">client.audio.speech.<a href="http://github.com/src/resources/audio/speech.ts">create</a>({ ...params }) -> Response</code>
@@ -123,6 +182,10 @@ Methods:
 Types:
 
 - <code><a href="http://github.com/src/resources/moderations.ts">Moderation</a></code>
+- <code><a href="http://github.com/src/resources/moderations.ts">ModerationImageURLInput</a></code>
+- <code><a href="http://github.com/src/resources/moderations.ts">ModerationModel</a></code>
+- <code><a href="http://github.com/src/resources/moderations.ts">ModerationMultiModalInput</a></code>
+- <code><a href="http://github.com/src/resources/moderations.ts">ModerationTextInput</a></code>
 - <code><a href="http://github.com/src/resources/moderations.ts">ModerationCreateResponse</a></code>
 
 Methods:
@@ -144,66 +207,260 @@ Methods:
 
 # FineTuning
 
+## Methods
+
+Types:
+
+- <code><a href="http://github.com/src/resources/fine-tuning/methods.ts">DpoHyperparameters</a></code>
+- <code><a href="http://github.com/src/resources/fine-tuning/methods.ts">DpoMethod</a></code>
+- <code><a href="http://github.com/src/resources/fine-tuning/methods.ts">ReinforcementHyperparameters</a></code>
+- <code><a href="http://github.com/src/resources/fine-tuning/methods.ts">ReinforcementMethod</a></code>
+- <code><a href="http://github.com/src/resources/fine-tuning/methods.ts">SupervisedHyperparameters</a></code>
+- <code><a href="http://github.com/src/resources/fine-tuning/methods.ts">SupervisedMethod</a></code>
+
 ## Jobs
 
 Types:
 
-- <code><a href="http://github.com/src/resources/fine-tuning/jobs.ts">FineTuningJob</a></code>
-- <code><a href="http://github.com/src/resources/fine-tuning/jobs.ts">FineTuningJobEvent</a></code>
+- <code><a href="http://github.com/src/resources/fine-tuning/jobs/jobs.ts">FineTuningJob</a></code>
+- <code><a href="http://github.com/src/resources/fine-tuning/jobs/jobs.ts">FineTuningJobEvent</a></code>
+- <code><a href="http://github.com/src/resources/fine-tuning/jobs/jobs.ts">FineTuningJobIntegration</a></code>
+- <code><a href="http://github.com/src/resources/fine-tuning/jobs/jobs.ts">FineTuningJobWandbIntegration</a></code>
+- <code><a href="http://github.com/src/resources/fine-tuning/jobs/jobs.ts">FineTuningJobWandbIntegrationObject</a></code>
+
+Methods:
+
+- <code title="post /fine_tuning/jobs">client.fineTuning.jobs.<a href="http://github.com/src/resources/fine-tuning/jobs/jobs.ts">create</a>({ ...params }) -> FineTuningJob</code>
+- <code title="get /fine_tuning/jobs/{fine_tuning_job_id}">client.fineTuning.jobs.<a href="http://github.com/src/resources/fine-tuning/jobs/jobs.ts">retrieve</a>(fineTuningJobId) -> FineTuningJob</code>
+- <code title="get /fine_tuning/jobs">client.fineTuning.jobs.<a href="http://github.com/src/resources/fine-tuning/jobs/jobs.ts">list</a>({ ...params }) -> FineTuningJobsPage</code>
+- <code title="post /fine_tuning/jobs/{fine_tuning_job_id}/cancel">client.fineTuning.jobs.<a href="http://github.com/src/resources/fine-tuning/jobs/jobs.ts">cancel</a>(fineTuningJobId) -> FineTuningJob</code>
+- <code title="get /fine_tuning/jobs/{fine_tuning_job_id}/events">client.fineTuning.jobs.<a href="http://github.com/src/resources/fine-tuning/jobs/jobs.ts">listEvents</a>(fineTuningJobId, { ...params }) -> FineTuningJobEventsPage</code>
+- <code title="post /fine_tuning/jobs/{fine_tuning_job_id}/pause">client.fineTuning.jobs.<a href="http://github.com/src/resources/fine-tuning/jobs/jobs.ts">pause</a>(fineTuningJobId) -> FineTuningJob</code>
+- <code title="post /fine_tuning/jobs/{fine_tuning_job_id}/resume">client.fineTuning.jobs.<a href="http://github.com/src/resources/fine-tuning/jobs/jobs.ts">resume</a>(fineTuningJobId) -> FineTuningJob</code>
+
+### Checkpoints
+
+Types:
+
+- <code><a href="http://github.com/src/resources/fine-tuning/jobs/checkpoints.ts">FineTuningJobCheckpoint</a></code>
+
+Methods:
+
+- <code title="get /fine_tuning/jobs/{fine_tuning_job_id}/checkpoints">client.fineTuning.jobs.checkpoints.<a href="http://github.com/src/resources/fine-tuning/jobs/checkpoints.ts">list</a>(fineTuningJobId, { ...params }) -> FineTuningJobCheckpointsPage</code>
+
+## Checkpoints
+
+### Permissions
+
+Types:
+
+- <code><a href="http://github.com/src/resources/fine-tuning/checkpoints/permissions.ts">PermissionCreateResponse</a></code>
+- <code><a href="http://github.com/src/resources/fine-tuning/checkpoints/permissions.ts">PermissionRetrieveResponse</a></code>
+- <code><a href="http://github.com/src/resources/fine-tuning/checkpoints/permissions.ts">PermissionDeleteResponse</a></code>
+
+Methods:
+
+- <code title="post /fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions">client.fineTuning.checkpoints.permissions.<a href="http://github.com/src/resources/fine-tuning/checkpoints/permissions.ts">create</a>(fineTunedModelCheckpoint, { ...params }) -> PermissionCreateResponsesPage</code>
+- <code title="get /fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions">client.fineTuning.checkpoints.permissions.<a href="http://github.com/src/resources/fine-tuning/checkpoints/permissions.ts">retrieve</a>(fineTunedModelCheckpoint, { ...params }) -> PermissionRetrieveResponse</code>
+- <code title="delete /fine_tuning/checkpoints/{fine_tuned_model_checkpoint}/permissions/{permission_id}">client.fineTuning.checkpoints.permissions.<a href="http://github.com/src/resources/fine-tuning/checkpoints/permissions.ts">del</a>(fineTunedModelCheckpoint, permissionId) -> PermissionDeleteResponse</code>
+
+## Alpha
+
+### Graders
+
+Types:
+
+- <code><a href="http://github.com/src/resources/fine-tuning/alpha/graders.ts">GraderRunResponse</a></code>
+- <code><a href="http://github.com/src/resources/fine-tuning/alpha/graders.ts">GraderValidateResponse</a></code>
 
 Methods:
 
-- <code title="post /fine_tuning/jobs">client.fineTuning.jobs.<a href="http://github.com/src/resources/fine-tuning/jobs.ts">create</a>({ ...params }) -> FineTuningJob</code>
-- <code title="get /fine_tuning/jobs/{fine_tuning_job_id}">client.fineTuning.jobs.<a href="http://github.com/src/resources/fine-tuning/jobs.ts">retrieve</a>(fineTuningJobId) -> FineTuningJob</code>
-- <code title="get /fine_tuning/jobs">client.fineTuning.jobs.<a href="http://github.com/src/resources/fine-tuning/jobs.ts">list</a>({ ...params }) -> FineTuningJobsPage</code>
-- <code title="post /fine_tuning/jobs/{fine_tuning_job_id}/cancel">client.fineTuning.jobs.<a href="http://github.com/src/resources/fine-tuning/jobs.ts">cancel</a>(fineTuningJobId) -> FineTuningJob</code>
-- <code title="get /fine_tuning/jobs/{fine_tuning_job_id}/events">client.fineTuning.jobs.<a href="http://github.com/src/resources/fine-tuning/jobs.ts">listEvents</a>(fineTuningJobId, { ...params }) -> FineTuningJobEventsPage</code>
+- <code title="post /fine_tuning/alpha/graders/run">client.fineTuning.alpha.graders.<a href="http://github.com/src/resources/fine-tuning/alpha/graders.ts">run</a>({ ...params }) -> GraderRunResponse</code>
+- <code title="post /fine_tuning/alpha/graders/validate">client.fineTuning.alpha.graders.<a href="http://github.com/src/resources/fine-tuning/alpha/graders.ts">validate</a>({ ...params }) -> GraderValidateResponse</code>
+
+# Graders
+
+## GraderModels
+
+Types:
+
+- <code><a href="http://github.com/src/resources/graders/grader-models.ts">LabelModelGrader</a></code>
+- <code><a href="http://github.com/src/resources/graders/grader-models.ts">MultiGrader</a></code>
+- <code><a href="http://github.com/src/resources/graders/grader-models.ts">PythonGrader</a></code>
+- <code><a href="http://github.com/src/resources/graders/grader-models.ts">ScoreModelGrader</a></code>
+- <code><a href="http://github.com/src/resources/graders/grader-models.ts">StringCheckGrader</a></code>
+- <code><a href="http://github.com/src/resources/graders/grader-models.ts">TextSimilarityGrader</a></code>
+
+# VectorStores
+
+Types:
+
+- <code><a href="http://github.com/src/resources/vector-stores/vector-stores.ts">AutoFileChunkingStrategyParam</a></code>
+- <code><a href="http://github.com/src/resources/vector-stores/vector-stores.ts">FileChunkingStrategy</a></code>
+- <code><a href="http://github.com/src/resources/vector-stores/vector-stores.ts">FileChunkingStrategyParam</a></code>
+- <code><a href="http://github.com/src/resources/vector-stores/vector-stores.ts">OtherFileChunkingStrategyObject</a></code>
+- <code><a href="http://github.com/src/resources/vector-stores/vector-stores.ts">StaticFileChunkingStrategy</a></code>
+- <code><a href="http://github.com/src/resources/vector-stores/vector-stores.ts">StaticFileChunkingStrategyObject</a></code>
+- <code><a href="http://github.com/src/resources/vector-stores/vector-stores.ts">StaticFileChunkingStrategyObjectParam</a></code>
+- <code><a href="http://github.com/src/resources/vector-stores/vector-stores.ts">VectorStore</a></code>
+- <code><a href="http://github.com/src/resources/vector-stores/vector-stores.ts">VectorStoreDeleted</a></code>
+- <code><a href="http://github.com/src/resources/vector-stores/vector-stores.ts">VectorStoreSearchResponse</a></code>
+
+Methods:
+
+- <code title="post /vector_stores">client.vectorStores.<a href="http://github.com/src/resources/vector-stores/vector-stores.ts">create</a>({ ...params }) -> VectorStore</code>
+- <code title="get /vector_stores/{vector_store_id}">client.vectorStores.<a href="http://github.com/src/resources/vector-stores/vector-stores.ts">retrieve</a>(vectorStoreId) -> VectorStore</code>
+- <code title="post /vector_stores/{vector_store_id}">client.vectorStores.<a href="http://github.com/src/resources/vector-stores/vector-stores.ts">update</a>(vectorStoreId, { ...params }) -> VectorStore</code>
+- <code title="get /vector_stores">client.vectorStores.<a href="http://github.com/src/resources/vector-stores/vector-stores.ts">list</a>({ ...params }) -> VectorStoresPage</code>
+- <code title="delete /vector_stores/{vector_store_id}">client.vectorStores.<a href="http://github.com/src/resources/vector-stores/vector-stores.ts">del</a>(vectorStoreId) -> VectorStoreDeleted</code>
+- <code title="post /vector_stores/{vector_store_id}/search">client.vectorStores.<a href="http://github.com/src/resources/vector-stores/vector-stores.ts">search</a>(vectorStoreId, { ...params }) -> VectorStoreSearchResponsesPage</code>
+
+## Files
+
+Types:
+
+- <code><a href="http://github.com/src/resources/vector-stores/files.ts">VectorStoreFile</a></code>
+- <code><a href="http://github.com/src/resources/vector-stores/files.ts">VectorStoreFileDeleted</a></code>
+- <code><a href="http://github.com/src/resources/vector-stores/files.ts">FileContentResponse</a></code>
+
+Methods:
+
+- <code title="post /vector_stores/{vector_store_id}/files">client.vectorStores.files.<a href="http://github.com/src/resources/vector-stores/files.ts">create</a>(vectorStoreId, { ...params }) -> VectorStoreFile</code>
+- <code title="get /vector_stores/{vector_store_id}/files/{file_id}">client.vectorStores.files.<a href="http://github.com/src/resources/vector-stores/files.ts">retrieve</a>(vectorStoreId, fileId) -> VectorStoreFile</code>
+- <code title="post /vector_stores/{vector_store_id}/files/{file_id}">client.vectorStores.files.<a href="http://github.com/src/resources/vector-stores/files.ts">update</a>(vectorStoreId, fileId, { ...params }) -> VectorStoreFile</code>
+- <code title="get /vector_stores/{vector_store_id}/files">client.vectorStores.files.<a href="http://github.com/src/resources/vector-stores/files.ts">list</a>(vectorStoreId, { ...params }) -> VectorStoreFilesPage</code>
+- <code title="delete /vector_stores/{vector_store_id}/files/{file_id}">client.vectorStores.files.<a href="http://github.com/src/resources/vector-stores/files.ts">del</a>(vectorStoreId, fileId) -> VectorStoreFileDeleted</code>
+- <code title="get /vector_stores/{vector_store_id}/files/{file_id}/content">client.vectorStores.files.<a href="http://github.com/src/resources/vector-stores/files.ts">content</a>(vectorStoreId, fileId) -> FileContentResponsesPage</code>
+- <code>client.beta.vectorStores.files.<a href="http://github.com/src/resources/vector-stores/files.ts">createAndPoll</a>(vectorStoreId, body, options?) -> Promise&lt;VectorStoreFile&gt;</code>
+- <code>client.beta.vectorStores.files.<a href="http://github.com/src/resources/vector-stores/files.ts">poll</a>(vectorStoreId, fileId, options?) -> Promise&lt;VectorStoreFile&gt;</code>
+- <code>client.beta.vectorStores.files.<a href="http://github.com/src/resources/vector-stores/files.ts">upload</a>(vectorStoreId, file, options?) -> Promise&lt;VectorStoreFile&gt;</code>
+- <code>client.beta.vectorStores.files.<a href="http://github.com/src/resources/vector-stores/files.ts">uploadAndPoll</a>(vectorStoreId, file, options?) -> Promise&lt;VectorStoreFile&gt;</code>
+
+## FileBatches
+
+Types:
+
+- <code><a href="http://github.com/src/resources/vector-stores/file-batches.ts">VectorStoreFileBatch</a></code>
+
+Methods:
+
+- <code title="post /vector_stores/{vector_store_id}/file_batches">client.vectorStores.fileBatches.<a href="http://github.com/src/resources/vector-stores/file-batches.ts">create</a>(vectorStoreId, { ...params }) -> VectorStoreFileBatch</code>
+- <code title="get /vector_stores/{vector_store_id}/file_batches/{batch_id}">client.vectorStores.fileBatches.<a href="http://github.com/src/resources/vector-stores/file-batches.ts">retrieve</a>(vectorStoreId, batchId) -> VectorStoreFileBatch</code>
+- <code title="post /vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel">client.vectorStores.fileBatches.<a href="http://github.com/src/resources/vector-stores/file-batches.ts">cancel</a>(vectorStoreId, batchId) -> VectorStoreFileBatch</code>
+- <code title="get /vector_stores/{vector_store_id}/file_batches/{batch_id}/files">client.vectorStores.fileBatches.<a href="http://github.com/src/resources/vector-stores/file-batches.ts">listFiles</a>(vectorStoreId, batchId, { ...params }) -> VectorStoreFilesPage</code>
+- <code>client.beta.vectorStores.fileBatches.<a href="http://github.com/src/resources/vector-stores/file-batches.ts">createAndPoll</a>(vectorStoreId, body, options?) -> Promise&lt;VectorStoreFileBatch&gt;</code>
+- <code>client.beta.vectorStores.fileBatches.<a href="http://github.com/src/resources/vector-stores/file-batches.ts">poll</a>(vectorStoreId, batchId, options?) -> Promise&lt;VectorStoreFileBatch&gt;</code>
+- <code>client.beta.vectorStores.fileBatches.<a href="http://github.com/src/resources/vector-stores/file-batches.ts">uploadAndPoll</a>(vectorStoreId, { files, fileIds = [] }, options?) -> Promise&lt;VectorStoreFileBatch&gt;</code>
 
 # Beta
 
-## Chat
+## Realtime
+
+Types:
+
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ConversationCreatedEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ConversationItem</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ConversationItemContent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ConversationItemCreateEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ConversationItemCreatedEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ConversationItemDeleteEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ConversationItemDeletedEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ConversationItemInputAudioTranscriptionCompletedEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ConversationItemInputAudioTranscriptionDeltaEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ConversationItemInputAudioTranscriptionFailedEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ConversationItemRetrieveEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ConversationItemTruncateEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ConversationItemTruncatedEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ConversationItemWithReference</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ErrorEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">InputAudioBufferAppendEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">InputAudioBufferClearEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">InputAudioBufferClearedEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">InputAudioBufferCommitEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">InputAudioBufferCommittedEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">InputAudioBufferSpeechStartedEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">InputAudioBufferSpeechStoppedEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">RateLimitsUpdatedEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">RealtimeClientEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">RealtimeResponse</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">RealtimeResponseStatus</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">RealtimeResponseUsage</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">RealtimeServerEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ResponseAudioDeltaEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ResponseAudioDoneEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ResponseAudioTranscriptDeltaEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ResponseAudioTranscriptDoneEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ResponseCancelEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ResponseContentPartAddedEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ResponseContentPartDoneEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ResponseCreateEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ResponseCreatedEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ResponseDoneEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ResponseFunctionCallArgumentsDeltaEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ResponseFunctionCallArgumentsDoneEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ResponseOutputItemAddedEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ResponseOutputItemDoneEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ResponseTextDeltaEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">ResponseTextDoneEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">SessionCreatedEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">SessionUpdateEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">SessionUpdatedEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">TranscriptionSessionUpdate</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/realtime.ts">TranscriptionSessionUpdatedEvent</a></code>
+
+### Sessions
 
-### Completions
+Types:
+
+- <code><a href="http://github.com/src/resources/beta/realtime/sessions.ts">Session</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/sessions.ts">SessionCreateResponse</a></code>
 
 Methods:
 
-- <code>client.beta.chat.completions.<a href="http://github.com/src/resources/beta/chat/completions.ts">runFunctions</a>(body, options?) -> ChatCompletionRunner | ChatCompletionStreamingRunner</code>
-- <code>client.beta.chat.completions.<a href="http://github.com/src/resources/beta/chat/completions.ts">runTools</a>(body, options?) -> ChatCompletionRunner | ChatCompletionStreamingRunner</code>
-- <code>client.beta.chat.completions.<a href="http://github.com/src/resources/beta/chat/completions.ts">stream</a>(body, options?) -> ChatCompletionStream</code>
+- <code title="post /realtime/sessions">client.beta.realtime.sessions.<a href="http://github.com/src/resources/beta/realtime/sessions.ts">create</a>({ ...params }) -> SessionCreateResponse</code>
 
-## Assistants
+### TranscriptionSessions
 
 Types:
 
-- <code><a href="http://github.com/src/resources/beta/assistants/assistants.ts">Assistant</a></code>
-- <code><a href="http://github.com/src/resources/beta/assistants/assistants.ts">AssistantDeleted</a></code>
+- <code><a href="http://github.com/src/resources/beta/realtime/transcription-sessions.ts">TranscriptionSession</a></code>
 
 Methods:
 
-- <code title="post /assistants">client.beta.assistants.<a href="http://github.com/src/resources/beta/assistants/assistants.ts">create</a>({ ...params }) -> Assistant</code>
-- <code title="get /assistants/{assistant_id}">client.beta.assistants.<a href="http://github.com/src/resources/beta/assistants/assistants.ts">retrieve</a>(assistantId) -> Assistant</code>
-- <code title="post /assistants/{assistant_id}">client.beta.assistants.<a href="http://github.com/src/resources/beta/assistants/assistants.ts">update</a>(assistantId, { ...params }) -> Assistant</code>
-- <code title="get /assistants">client.beta.assistants.<a href="http://github.com/src/resources/beta/assistants/assistants.ts">list</a>({ ...params }) -> AssistantsPage</code>
-- <code title="delete /assistants/{assistant_id}">client.beta.assistants.<a href="http://github.com/src/resources/beta/assistants/assistants.ts">del</a>(assistantId) -> AssistantDeleted</code>
+- <code title="post /realtime/transcription_sessions">client.beta.realtime.transcriptionSessions.<a href="http://github.com/src/resources/beta/realtime/transcription-sessions.ts">create</a>({ ...params }) -> TranscriptionSession</code>
 
-### Files
+## Assistants
 
 Types:
 
-- <code><a href="http://github.com/src/resources/beta/assistants/files.ts">AssistantFile</a></code>
-- <code><a href="http://github.com/src/resources/beta/assistants/files.ts">FileDeleteResponse</a></code>
+- <code><a href="http://github.com/src/resources/beta/assistants.ts">Assistant</a></code>
+- <code><a href="http://github.com/src/resources/beta/assistants.ts">AssistantDeleted</a></code>
+- <code><a href="http://github.com/src/resources/beta/assistants.ts">AssistantStreamEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/assistants.ts">AssistantTool</a></code>
+- <code><a href="http://github.com/src/resources/beta/assistants.ts">CodeInterpreterTool</a></code>
+- <code><a href="http://github.com/src/resources/beta/assistants.ts">FileSearchTool</a></code>
+- <code><a href="http://github.com/src/resources/beta/assistants.ts">FunctionTool</a></code>
+- <code><a href="http://github.com/src/resources/beta/assistants.ts">MessageStreamEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/assistants.ts">RunStepStreamEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/assistants.ts">RunStreamEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/assistants.ts">ThreadStreamEvent</a></code>
 
 Methods:
 
-- <code title="post /assistants/{assistant_id}/files">client.beta.assistants.files.<a href="http://github.com/src/resources/beta/assistants/files.ts">create</a>(assistantId, { ...params }) -> AssistantFile</code>
-- <code title="get /assistants/{assistant_id}/files/{file_id}">client.beta.assistants.files.<a href="http://github.com/src/resources/beta/assistants/files.ts">retrieve</a>(assistantId, fileId) -> AssistantFile</code>
-- <code title="get /assistants/{assistant_id}/files">client.beta.assistants.files.<a href="http://github.com/src/resources/beta/assistants/files.ts">list</a>(assistantId, { ...params }) -> AssistantFilesPage</code>
-- <code title="delete /assistants/{assistant_id}/files/{file_id}">client.beta.assistants.files.<a href="http://github.com/src/resources/beta/assistants/files.ts">del</a>(assistantId, fileId) -> FileDeleteResponse</code>
+- <code title="post /assistants">client.beta.assistants.<a href="http://github.com/src/resources/beta/assistants.ts">create</a>({ ...params }) -> Assistant</code>
+- <code title="get /assistants/{assistant_id}">client.beta.assistants.<a href="http://github.com/src/resources/beta/assistants.ts">retrieve</a>(assistantId) -> Assistant</code>
+- <code title="post /assistants/{assistant_id}">client.beta.assistants.<a href="http://github.com/src/resources/beta/assistants.ts">update</a>(assistantId, { ...params }) -> Assistant</code>
+- <code title="get /assistants">client.beta.assistants.<a href="http://github.com/src/resources/beta/assistants.ts">list</a>({ ...params }) -> AssistantsPage</code>
+- <code title="delete /assistants/{assistant_id}">client.beta.assistants.<a href="http://github.com/src/resources/beta/assistants.ts">del</a>(assistantId) -> AssistantDeleted</code>
 
 ## Threads
 
 Types:
 
+- <code><a href="http://github.com/src/resources/beta/threads/threads.ts">AssistantResponseFormatOption</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/threads.ts">AssistantToolChoice</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/threads.ts">AssistantToolChoiceFunction</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/threads.ts">AssistantToolChoiceOption</a></code>
 - <code><a href="http://github.com/src/resources/beta/threads/threads.ts">Thread</a></code>
 - <code><a href="http://github.com/src/resources/beta/threads/threads.ts">ThreadDeleted</a></code>
 
@@ -214,6 +471,8 @@ Methods:
 - <code title="post /threads/{thread_id}">client.beta.threads.<a href="http://github.com/src/resources/beta/threads/threads.ts">update</a>(threadId, { ...params }) -> Thread</code>
 - <code title="delete /threads/{thread_id}">client.beta.threads.<a href="http://github.com/src/resources/beta/threads/threads.ts">del</a>(threadId) -> ThreadDeleted</code>
 - <code title="post /threads/runs">client.beta.threads.<a href="http://github.com/src/resources/beta/threads/threads.ts">createAndRun</a>({ ...params }) -> Run</code>
+- <code>client.beta.threads.<a href="http://github.com/src/resources/beta/threads/threads.ts">createAndRunPoll</a>(body, options?) -> Promise&lt;Threads.Run&gt;</code>
+- <code>client.beta.threads.<a href="http://github.com/src/resources/beta/threads/threads.ts">createAndRunStream</a>(body, options?) -> AssistantStream</code>
 
 ### Runs
 
@@ -221,6 +480,7 @@ Types:
 
 - <code><a href="http://github.com/src/resources/beta/threads/runs/runs.ts">RequiredActionFunctionToolCall</a></code>
 - <code><a href="http://github.com/src/resources/beta/threads/runs/runs.ts">Run</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/runs/runs.ts">RunStatus</a></code>
 
 Methods:
 
@@ -230,46 +490,269 @@ Methods:
 - <code title="get /threads/{thread_id}/runs">client.beta.threads.runs.<a href="http://github.com/src/resources/beta/threads/runs/runs.ts">list</a>(threadId, { ...params }) -> RunsPage</code>
 - <code title="post /threads/{thread_id}/runs/{run_id}/cancel">client.beta.threads.runs.<a href="http://github.com/src/resources/beta/threads/runs/runs.ts">cancel</a>(threadId, runId) -> Run</code>
 - <code title="post /threads/{thread_id}/runs/{run_id}/submit_tool_outputs">client.beta.threads.runs.<a href="http://github.com/src/resources/beta/threads/runs/runs.ts">submitToolOutputs</a>(threadId, runId, { ...params }) -> Run</code>
+- <code>client.beta.threads.runs.<a href="http://github.com/src/resources/beta/threads/runs/runs.ts">createAndPoll</a>(threadId, body, options?) -> Promise&lt;Run&gt;</code>
+- <code>client.beta.threads.runs.<a href="http://github.com/src/resources/beta/threads/runs/runs.ts">createAndStream</a>(threadId, body, options?) -> AssistantStream</code>
+- <code>client.beta.threads.runs.<a href="http://github.com/src/resources/beta/threads/runs/runs.ts">poll</a>(threadId, runId, options?) -> Promise&lt;Run&gt;</code>
+- <code>client.beta.threads.runs.<a href="http://github.com/src/resources/beta/threads/runs/runs.ts">stream</a>(threadId, body, options?) -> AssistantStream</code>
+- <code>client.beta.threads.runs.<a href="http://github.com/src/resources/beta/threads/runs/runs.ts">submitToolOutputsAndPoll</a>(threadId, runId, body, options?) -> Promise&lt;Run&gt;</code>
+- <code>client.beta.threads.runs.<a href="http://github.com/src/resources/beta/threads/runs/runs.ts">submitToolOutputsStream</a>(threadId, runId, body, options?) -> AssistantStream</code>
 
 #### Steps
 
 Types:
 
-- <code><a href="http://github.com/src/resources/beta/threads/runs/steps.ts">CodeToolCall</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/runs/steps.ts">CodeInterpreterLogs</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/runs/steps.ts">CodeInterpreterOutputImage</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/runs/steps.ts">CodeInterpreterToolCall</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/runs/steps.ts">CodeInterpreterToolCallDelta</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/runs/steps.ts">FileSearchToolCall</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/runs/steps.ts">FileSearchToolCallDelta</a></code>
 - <code><a href="http://github.com/src/resources/beta/threads/runs/steps.ts">FunctionToolCall</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/runs/steps.ts">FunctionToolCallDelta</a></code>
 - <code><a href="http://github.com/src/resources/beta/threads/runs/steps.ts">MessageCreationStepDetails</a></code>
-- <code><a href="http://github.com/src/resources/beta/threads/runs/steps.ts">RetrievalToolCall</a></code>
 - <code><a href="http://github.com/src/resources/beta/threads/runs/steps.ts">RunStep</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/runs/steps.ts">RunStepDelta</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/runs/steps.ts">RunStepDeltaEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/runs/steps.ts">RunStepDeltaMessageDelta</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/runs/steps.ts">RunStepInclude</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/runs/steps.ts">ToolCall</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/runs/steps.ts">ToolCallDelta</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/runs/steps.ts">ToolCallDeltaObject</a></code>
 - <code><a href="http://github.com/src/resources/beta/threads/runs/steps.ts">ToolCallsStepDetails</a></code>
 
 Methods:
 
-- <code title="get /threads/{thread_id}/runs/{run_id}/steps/{step_id}">client.beta.threads.runs.steps.<a href="http://github.com/src/resources/beta/threads/runs/steps.ts">retrieve</a>(threadId, runId, stepId) -> RunStep</code>
+- <code title="get /threads/{thread_id}/runs/{run_id}/steps/{step_id}">client.beta.threads.runs.steps.<a href="http://github.com/src/resources/beta/threads/runs/steps.ts">retrieve</a>(threadId, runId, stepId, { ...params }) -> RunStep</code>
 - <code title="get /threads/{thread_id}/runs/{run_id}/steps">client.beta.threads.runs.steps.<a href="http://github.com/src/resources/beta/threads/runs/steps.ts">list</a>(threadId, runId, { ...params }) -> RunStepsPage</code>
 
 ### Messages
 
 Types:
 
-- <code><a href="http://github.com/src/resources/beta/threads/messages/messages.ts">MessageContentImageFile</a></code>
-- <code><a href="http://github.com/src/resources/beta/threads/messages/messages.ts">MessageContentText</a></code>
-- <code><a href="http://github.com/src/resources/beta/threads/messages/messages.ts">ThreadMessage</a></code>
-- <code><a href="http://github.com/src/resources/beta/threads/messages/messages.ts">ThreadMessageDeleted</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">Annotation</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">AnnotationDelta</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">FileCitationAnnotation</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">FileCitationDeltaAnnotation</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">FilePathAnnotation</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">FilePathDeltaAnnotation</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">ImageFile</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">ImageFileContentBlock</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">ImageFileDelta</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">ImageFileDeltaBlock</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">ImageURL</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">ImageURLContentBlock</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">ImageURLDelta</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">ImageURLDeltaBlock</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">Message</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">MessageContent</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">MessageContentDelta</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">MessageContentPartParam</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">MessageDeleted</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">MessageDelta</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">MessageDeltaEvent</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">RefusalContentBlock</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">RefusalDeltaBlock</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">Text</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">TextContentBlock</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">TextContentBlockParam</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">TextDelta</a></code>
+- <code><a href="http://github.com/src/resources/beta/threads/messages.ts">TextDeltaBlock</a></code>
+
+Methods:
+
+- <code title="post /threads/{thread_id}/messages">client.beta.threads.messages.<a href="http://github.com/src/resources/beta/threads/messages.ts">create</a>(threadId, { ...params }) -> Message</code>
+- <code title="get /threads/{thread_id}/messages/{message_id}">client.beta.threads.messages.<a href="http://github.com/src/resources/beta/threads/messages.ts">retrieve</a>(threadId, messageId) -> Message</code>
+- <code title="post /threads/{thread_id}/messages/{message_id}">client.beta.threads.messages.<a href="http://github.com/src/resources/beta/threads/messages.ts">update</a>(threadId, messageId, { ...params }) -> Message</code>
+- <code title="get /threads/{thread_id}/messages">client.beta.threads.messages.<a href="http://github.com/src/resources/beta/threads/messages.ts">list</a>(threadId, { ...params }) -> MessagesPage</code>
+- <code title="delete /threads/{thread_id}/messages/{message_id}">client.beta.threads.messages.<a href="http://github.com/src/resources/beta/threads/messages.ts">del</a>(threadId, messageId) -> MessageDeleted</code>
+
+# Batches
+
+Types:
+
+- <code><a href="http://github.com/src/resources/batches.ts">Batch</a></code>
+- <code><a href="http://github.com/src/resources/batches.ts">BatchError</a></code>
+- <code><a href="http://github.com/src/resources/batches.ts">BatchRequestCounts</a></code>
+
+Methods:
+
+- <code title="post /batches">client.batches.<a href="http://github.com/src/resources/batches.ts">create</a>({ ...params }) -> Batch</code>
+- <code title="get /batches/{batch_id}">client.batches.<a href="http://github.com/src/resources/batches.ts">retrieve</a>(batchId) -> Batch</code>
+- <code title="get /batches">client.batches.<a href="http://github.com/src/resources/batches.ts">list</a>({ ...params }) -> BatchesPage</code>
+- <code title="post /batches/{batch_id}/cancel">client.batches.<a href="http://github.com/src/resources/batches.ts">cancel</a>(batchId) -> Batch</code>
+
+# Uploads
+
+Types:
+
+- <code><a href="http://github.com/src/resources/uploads/uploads.ts">Upload</a></code>
+
+Methods:
+
+- <code title="post /uploads">client.uploads.<a href="http://github.com/src/resources/uploads/uploads.ts">create</a>({ ...params }) -> Upload</code>
+- <code title="post /uploads/{upload_id}/cancel">client.uploads.<a href="http://github.com/src/resources/uploads/uploads.ts">cancel</a>(uploadId) -> Upload</code>
+- <code title="post /uploads/{upload_id}/complete">client.uploads.<a href="http://github.com/src/resources/uploads/uploads.ts">complete</a>(uploadId, { ...params }) -> Upload</code>
+
+## Parts
+
+Types:
+
+- <code><a href="http://github.com/src/resources/uploads/parts.ts">UploadPart</a></code>
+
+Methods:
+
+- <code title="post /uploads/{upload_id}/parts">client.uploads.parts.<a href="http://github.com/src/resources/uploads/parts.ts">create</a>(uploadId, { ...params }) -> UploadPart</code>
+
+# Responses
+
+Types:
+
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ComputerTool</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">EasyInputMessage</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">FileSearchTool</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">FunctionTool</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">Response</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseAudioDeltaEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseAudioDoneEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseAudioTranscriptDeltaEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseAudioTranscriptDoneEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseCodeInterpreterCallCodeDeltaEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseCodeInterpreterCallCodeDoneEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseCodeInterpreterCallCompletedEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseCodeInterpreterCallInProgressEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseCodeInterpreterCallInterpretingEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseCodeInterpreterToolCall</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseCompletedEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseComputerToolCall</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseComputerToolCallOutputItem</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseComputerToolCallOutputScreenshot</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseContent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseContentPartAddedEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseContentPartDoneEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseCreatedEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseError</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseErrorEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseFailedEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseFileSearchCallCompletedEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseFileSearchCallInProgressEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseFileSearchCallSearchingEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseFileSearchToolCall</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseFormatTextConfig</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseFormatTextJSONSchemaConfig</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseFunctionCallArgumentsDeltaEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseFunctionCallArgumentsDoneEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseFunctionToolCall</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseFunctionToolCallItem</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseFunctionToolCallOutputItem</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseFunctionWebSearch</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseInProgressEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseIncludable</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseIncompleteEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseInput</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseInputAudio</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseInputContent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseInputFile</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseInputImage</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseInputItem</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseInputMessageContentList</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseInputMessageItem</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseInputText</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseItem</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseOutputAudio</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseOutputItem</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseOutputItemAddedEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseOutputItemDoneEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseOutputMessage</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseOutputRefusal</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseOutputText</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseReasoningItem</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseReasoningSummaryPartAddedEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseReasoningSummaryPartDoneEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseReasoningSummaryTextDeltaEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseReasoningSummaryTextDoneEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseRefusalDeltaEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseRefusalDoneEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseStatus</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseStreamEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseTextAnnotationDeltaEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseTextConfig</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseTextDeltaEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseTextDoneEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseUsage</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseWebSearchCallCompletedEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseWebSearchCallInProgressEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ResponseWebSearchCallSearchingEvent</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">Tool</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ToolChoiceFunction</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ToolChoiceOptions</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">ToolChoiceTypes</a></code>
+- <code><a href="http://github.com/src/resources/responses/responses.ts">WebSearchTool</a></code>
+
+Methods:
+
+- <code title="post /responses">client.responses.<a href="http://github.com/src/resources/responses/responses.ts">create</a>({ ...params }) -> Response</code>
+- <code title="get /responses/{response_id}">client.responses.<a href="http://github.com/src/resources/responses/responses.ts">retrieve</a>(responseId, { ...params }) -> Response</code>
+- <code title="delete /responses/{response_id}">client.responses.<a href="http://github.com/src/resources/responses/responses.ts">del</a>(responseId) -> void</code>
+
+## InputItems
+
+Types:
+
+- <code><a href="http://github.com/src/resources/responses/input-items.ts">ResponseItemList</a></code>
+
+Methods:
+
+- <code title="get /responses/{response_id}/input_items">client.responses.inputItems.<a href="http://github.com/src/resources/responses/input-items.ts">list</a>(responseId, { ...params }) -> ResponseItemsPage</code>
+
+# Evals
+
+Types:
+
+- <code><a href="http://github.com/src/resources/evals/evals.ts">EvalCustomDataSourceConfig</a></code>
+- <code><a href="http://github.com/src/resources/evals/evals.ts">EvalStoredCompletionsDataSourceConfig</a></code>
+- <code><a href="http://github.com/src/resources/evals/evals.ts">EvalCreateResponse</a></code>
+- <code><a href="http://github.com/src/resources/evals/evals.ts">EvalRetrieveResponse</a></code>
+- <code><a href="http://github.com/src/resources/evals/evals.ts">EvalUpdateResponse</a></code>
+- <code><a href="http://github.com/src/resources/evals/evals.ts">EvalListResponse</a></code>
+- <code><a href="http://github.com/src/resources/evals/evals.ts">EvalDeleteResponse</a></code>
+
+Methods:
+
+- <code title="post /evals">client.evals.<a href="http://github.com/src/resources/evals/evals.ts">create</a>({ ...params }) -> EvalCreateResponse</code>
+- <code title="get /evals/{eval_id}">client.evals.<a href="http://github.com/src/resources/evals/evals.ts">retrieve</a>(evalId) -> EvalRetrieveResponse</code>
+- <code title="post /evals/{eval_id}">client.evals.<a href="http://github.com/src/resources/evals/evals.ts">update</a>(evalId, { ...params }) -> EvalUpdateResponse</code>
+- <code title="get /evals">client.evals.<a href="http://github.com/src/resources/evals/evals.ts">list</a>({ ...params }) -> EvalListResponsesPage</code>
+- <code title="delete /evals/{eval_id}">client.evals.<a href="http://github.com/src/resources/evals/evals.ts">del</a>(evalId) -> EvalDeleteResponse</code>
+
+## Runs
+
+Types:
+
+- <code><a href="http://github.com/src/resources/evals/runs/runs.ts">CreateEvalCompletionsRunDataSource</a></code>
+- <code><a href="http://github.com/src/resources/evals/runs/runs.ts">CreateEvalJSONLRunDataSource</a></code>
+- <code><a href="http://github.com/src/resources/evals/runs/runs.ts">EvalAPIError</a></code>
+- <code><a href="http://github.com/src/resources/evals/runs/runs.ts">RunCreateResponse</a></code>
+- <code><a href="http://github.com/src/resources/evals/runs/runs.ts">RunRetrieveResponse</a></code>
+- <code><a href="http://github.com/src/resources/evals/runs/runs.ts">RunListResponse</a></code>
+- <code><a href="http://github.com/src/resources/evals/runs/runs.ts">RunDeleteResponse</a></code>
+- <code><a href="http://github.com/src/resources/evals/runs/runs.ts">RunCancelResponse</a></code>
 
 Methods:
 
-- <code title="post /threads/{thread_id}/messages">client.beta.threads.messages.<a href="http://github.com/src/resources/beta/threads/messages/messages.ts">create</a>(threadId, { ...params }) -> ThreadMessage</code>
-- <code title="get /threads/{thread_id}/messages/{message_id}">client.beta.threads.messages.<a href="http://github.com/src/resources/beta/threads/messages/messages.ts">retrieve</a>(threadId, messageId) -> ThreadMessage</code>
-- <code title="post /threads/{thread_id}/messages/{message_id}">client.beta.threads.messages.<a href="http://github.com/src/resources/beta/threads/messages/messages.ts">update</a>(threadId, messageId, { ...params }) -> ThreadMessage</code>
-- <code title="get /threads/{thread_id}/messages">client.beta.threads.messages.<a href="http://github.com/src/resources/beta/threads/messages/messages.ts">list</a>(threadId, { ...params }) -> ThreadMessagesPage</code>
+- <code title="post /evals/{eval_id}/runs">client.evals.runs.<a href="http://github.com/src/resources/evals/runs/runs.ts">create</a>(evalId, { ...params }) -> RunCreateResponse</code>
+- <code title="get /evals/{eval_id}/runs/{run_id}">client.evals.runs.<a href="http://github.com/src/resources/evals/runs/runs.ts">retrieve</a>(evalId, runId) -> RunRetrieveResponse</code>
+- <code title="get /evals/{eval_id}/runs">client.evals.runs.<a href="http://github.com/src/resources/evals/runs/runs.ts">list</a>(evalId, { ...params }) -> RunListResponsesPage</code>
+- <code title="delete /evals/{eval_id}/runs/{run_id}">client.evals.runs.<a href="http://github.com/src/resources/evals/runs/runs.ts">del</a>(evalId, runId) -> RunDeleteResponse</code>
+- <code title="post /evals/{eval_id}/runs/{run_id}">client.evals.runs.<a href="http://github.com/src/resources/evals/runs/runs.ts">cancel</a>(evalId, runId) -> RunCancelResponse</code>
 
-#### Files
+### OutputItems
 
 Types:
 
-- <code><a href="http://github.com/src/resources/beta/threads/messages/files.ts">MessageFile</a></code>
+- <code><a href="http://github.com/src/resources/evals/runs/output-items.ts">OutputItemRetrieveResponse</a></code>
+- <code><a href="http://github.com/src/resources/evals/runs/output-items.ts">OutputItemListResponse</a></code>
 
 Methods:
 
-- <code title="get /threads/{thread_id}/messages/{message_id}/files/{file_id}">client.beta.threads.messages.files.<a href="http://github.com/src/resources/beta/threads/messages/files.ts">retrieve</a>(threadId, messageId, fileId) -> MessageFile</code>
-- <code title="get /threads/{thread_id}/messages/{message_id}/files">client.beta.threads.messages.files.<a href="http://github.com/src/resources/beta/threads/messages/files.ts">list</a>(threadId, messageId, { ...params }) -> MessageFilesPage</code>
+- <code title="get /evals/{eval_id}/runs/{run_id}/output_items/{output_item_id}">client.evals.runs.outputItems.<a href="http://github.com/src/resources/evals/runs/output-items.ts">retrieve</a>(evalId, runId, outputItemId) -> OutputItemRetrieveResponse</code>
+- <code title="get /evals/{eval_id}/runs/{run_id}/output_items">client.evals.runs.outputItems.<a href="http://github.com/src/resources/evals/runs/output-items.ts">list</a>(evalId, runId, { ...params }) -> OutputItemListResponsesPage</code>
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: "<The API version, e.g. 2024-10-01-preview>" });
+
+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/bin/check-release-environment b/bin/check-release-environment
index 9651d95c8..e51564b7d 100644
--- a/bin/check-release-environment
+++ b/bin/check-release-environment
@@ -2,10 +2,6 @@
 
 errors=()
 
-if [ -z "${STAINLESS_API_KEY}" ]; then
-  errors+=("The STAINLESS_API_KEY secret has not been set. Please contact Stainless for an API key & set it in your organization secrets on GitHub.")
-fi
-
 if [ -z "${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
@@ -23,3 +19,4 @@ if [[ lenErrors -gt 0 ]]; then
 fi
 
 echo "The environment is ready to push releases!"
+
diff --git a/bin/check-test-server b/bin/check-test-server
deleted file mode 100755
index a6fa34950..000000000
--- a/bin/check-test-server
+++ /dev/null
@@ -1,50 +0,0 @@
-#!/usr/bin/env bash
-
-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
-}
-
-function is_overriding_api_base_url() {
-  [ -n "$TEST_API_BASE_URL" ]
-}
-
-if is_overriding_api_base_url ; then
-  # If someone is running the tests against the live API, we can trust they know
-  # what they're doing and exit early.
-  echo -e "${GREEN}✔ Running tests against ${TEST_API_BASE_URL}${NC}"
-
-  exit 0
-elif prism_is_running ; then
-  echo -e "${GREEN}✔ Mock prism server is running with your OpenAPI spec${NC}"
-  echo
-
-  exit 0
-else
-  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 "${YELLOW}To fix:${NC}"
-  echo
-  echo -e "1. Install Prism (requires Node 16+):"
-  echo
-  echo -e "  With npm:"
-  echo -e "    \$ ${YELLOW}npm install -g @stoplight/prism-cli${NC}"
-  echo
-  echo -e "  With yarn:"
-  echo -e "    \$ ${YELLOW}yarn global add @stoplight/prism-cli${NC}"
-  echo
-  echo -e "2. Run the mock server"
-  echo
-  echo -e "  To run the server, pass in the path of your OpenAPI"
-  echo -e "  spec to the prism command:"
-  echo
-  echo -e "    \$ ${YELLOW}prism mock path/to/your.openapi.yml${NC}"
-  echo
-
-  exit 1
-fi
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
index 4d6c9f357..4c21181bb 100644
--- a/bin/publish-npm
+++ b/bin/publish-npm
@@ -2,8 +2,24 @@
 
 set -eux
 
-npm config set //registry.npmjs.org/:_authToken $NPM_TOKEN
+npm config set '//registry.npmjs.org/:_authToken' "$NPM_TOKEN"
 
+# Build the project
 yarn build
+
+# Navigate to the dist directory
 cd dist
-yarn publish --access public
+
+# 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/build-deno b/build-deno
deleted file mode 100755
index c8215c85d..000000000
--- a/build-deno
+++ /dev/null
@@ -1,48 +0,0 @@
-#!/usr/bin/env bash
-
-set -exuo pipefail
-
-rm -rf deno; mkdir deno
-cp -rp src/* deno
-
-# x-release-please-start-version
-cat << EOF > deno/README.md
-# OpenAI Node API Library - Deno build
-
-This is a build produced from https://github.com/openai/openai-node – please go there to read the source and docs, file issues, etc.
-
-Usage:
-
-\`\`\`ts
-import OpenAI from "https://deno.land/x/openai@v4.28.3/mod.ts";
-
-const client = new OpenAI();
-\`\`\`
-
-Note that in most Deno environments, you can also do this:
-
-\`\`\`ts
-import OpenAI from "npm:openai";
-\`\`\`
-EOF
-# x-release-please-end
-
-rm deno/_shims/auto/*-node.ts
-for dir in deno/_shims deno/_shims/auto; do
-  rm "${dir}"/*.{d.ts,js,mjs}
-  for file in "${dir}"/*-deno.ts; do
-    mv -- "$file" "${file%-deno.ts}.ts"
-  done
-done
-for file in LICENSE CHANGELOG.md; do
-  if [ -e "${file}" ]; then cp "${file}" deno; fi
-done
-npm exec ts-node -T -- scripts/denoify.ts
-deno fmt deno
-deno check deno/mod.ts
-if [ -e deno_tests ]; then
-  deno test deno_tests --allow-env
-fi
-
-# make sure that nothing crashes when we load the Deno module
-(cd deno && deno run mod.ts)
diff --git a/ecosystem-tests/cli.ts b/ecosystem-tests/cli.ts
index c84c479d4..77faddec5 100644
--- a/ecosystem-tests/cli.ts
+++ b/ecosystem-tests/cli.ts
@@ -5,16 +5,19 @@ import assert from 'assert';
 import path from 'path';
 
 const TAR_NAME = 'openai.tgz';
-const PACK_FILE = `.pack/${TAR_NAME}`;
+const PACK_FOLDER = '.pack';
+const PACK_FILE = `${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']);
+  if (state.live) {
+    await run('npm', ['test']);
+  }
 }
 
-const projects = {
+const projectRunners = {
   'node-ts-cjs': defaultNodeRunner,
   'node-ts-cjs-web': defaultNodeRunner,
   'node-ts-cjs-auto': defaultNodeRunner,
@@ -22,6 +25,23 @@ const projects = {
   '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();
 
@@ -50,6 +70,7 @@ const projects = {
   '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) {
@@ -76,30 +97,16 @@ const projects = {
     }
   },
   deno: async () => {
-    await run('deno', ['task', 'install']);
-    await installPackage();
-    const packFile = getPackFile();
-
-    const openaiDir = path.resolve(
-      process.cwd(),
-      'node_modules',
-      '.deno',
-      'openai@3.3.0',
-      'node_modules',
-      'openai',
-    );
-
-    await run('sh', ['-c', 'rm -rf *'], { cwd: openaiDir, stdio: 'inherit' });
-    await run('tar', ['xzf', path.resolve(packFile)], { cwd: openaiDir, stdio: 'inherit' });
-    await run('sh', ['-c', 'mv package/* .'], { cwd: openaiDir, stdio: 'inherit' });
-    await run('sh', ['-c', 'rm -rf package'], { cwd: openaiDir, stdio: 'inherit' });
+    // 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']);
 
-    await run('deno', ['task', 'check']);
     if (state.live) await run('deno', ['task', 'test']);
   },
 };
 
-const projectNames = Object.keys(projects) as Array<keyof typeof projects>;
+let projectNames = Object.keys(projectRunners) as Array<keyof typeof projectRunners>;
 const projectNamesSet = new Set(projectNames);
 
 function parseArgs() {
@@ -118,6 +125,11 @@ function parseArgs() {
         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,
@@ -156,6 +168,10 @@ function parseArgs() {
         default: false,
         description: 'run all projects in parallel (jobs = # projects)',
       },
+      noCleanup: {
+        type: 'boolean',
+        default: false,
+      },
     })
     .help().argv;
 }
@@ -165,9 +181,32 @@ type Args = Awaited<ReturnType<typeof parseArgs>>;
 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);
 
@@ -191,8 +230,63 @@ async function main() {
 
   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.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();
@@ -225,7 +319,9 @@ async function main() {
       [...Array(jobs).keys()].map(async () => {
         while (queue.length) {
           const project = queue.shift();
-          if (!project) break;
+          if (!project) {
+            break;
+          }
 
           // preserve interleaved ordering of writes to stdout/stderr
           const chunks: { dest: 'stdout' | 'stderr'; data: string | Buffer }[] = [];
@@ -238,6 +334,7 @@ async function main() {
                 __filename,
                 project,
                 '--skip-pack',
+                '--noCleanup',
                 `--retry=${args.retry}`,
                 ...(args.live ? ['--live'] : []),
                 ...(args.verbose ? ['--verbose'] : []),
@@ -248,6 +345,7 @@ async function main() {
             );
             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);
@@ -255,7 +353,10 @@ async function main() {
             runningProjects.delete(project);
           }
 
-          if (IS_CI) console.log(`::group::${failed.includes(project) ? '❌' : '✅'} ${project}`);
+          if (IS_CI) {
+            console.log(`::group::${failed.includes(project) ? '❌' : '✅'} ${project}`);
+          }
+
           for (const { data } of chunks) {
             process.stdout.write(data);
           }
@@ -268,7 +369,7 @@ async function main() {
     clearProgress();
   } else {
     for (const project of projectsToRun) {
-      const fn = projects[project];
+      const fn = projectRunners[project];
 
       await withChdir(path.join(rootDir, 'ecosystem-tests', project), async () => {
         console.error('\n');
@@ -294,6 +395,10 @@ async function main() {
     }
   }
 
+  if (!args.noCleanup) {
+    await runCleanup();
+  }
+
   if (failed.length) {
     console.error(`${failed.length} project(s) failed - ${failed.join(', ')}`);
     process.exit(1);
@@ -340,10 +445,15 @@ async function buildPackage() {
     return;
   }
 
-  if (!(await pathExists('.pack'))) {
-    await fs.mkdir('.pack');
+  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,
@@ -366,6 +476,11 @@ async function installPackage() {
     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}`]);
@@ -391,8 +506,9 @@ async function run(command: string, args: string[], config?: RunOpts): Promise<e
     return await execa(command, args, config);
   } catch (error) {
     if (error instanceof Object && !state.verbose) {
-      const { stderr } = error as any;
+      const { stderr, stdout } = error as any;
       if (stderr) process.stderr.write(stderr);
+      if (stdout) process.stderr.write(stdout);
     }
     throw error;
   }
@@ -440,6 +556,80 @@ export const packageDir = async (): Promise<string> => {
   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<string> = ['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/package-lock.json b/ecosystem-tests/cloudflare-worker/package-lock.json
index 7e86792db..99d787f75 100644
--- a/ecosystem-tests/cloudflare-worker/package-lock.json
+++ b/ecosystem-tests/cloudflare-worker/package-lock.json
@@ -17,7 +17,7 @@
 				"start-server-and-test": "^2.0.0",
 				"ts-jest": "^29.1.0",
 				"typescript": "5.0.4",
-				"wrangler": "^3.0.0"
+				"wrangler": "^3.85.0"
 			}
 		},
 		"node_modules/@ampproject/remapping": {
@@ -662,18 +662,21 @@
 			"dev": true
 		},
 		"node_modules/@cloudflare/kv-asset-handler": {
-			"version": "0.2.0",
-			"resolved": "https://registry.npmjs.org/@cloudflare/kv-asset-handler/-/kv-asset-handler-0.2.0.tgz",
-			"integrity": "sha512-MVbXLbTcAotOPUj0pAMhVtJ+3/kFkwJqc5qNOleOZTv6QkZZABDMS21dSrSlVswEHwrpWC03e4fWytjqKvuE2A==",
+			"version": "0.3.4",
+			"resolved": "https://registry.npmjs.org/@cloudflare/kv-asset-handler/-/kv-asset-handler-0.3.4.tgz",
+			"integrity": "sha512-YLPHc8yASwjNkmcDMQMY35yiWjoKAKnhUbPRszBRS0YgH+IXtsMp61j+yTcnCE3oO2DgP0U3iejLC8FTtKDC8Q==",
 			"dev": true,
 			"dependencies": {
 				"mime": "^3.0.0"
+			},
+			"engines": {
+				"node": ">=16.13"
 			}
 		},
 		"node_modules/@cloudflare/workerd-darwin-64": {
-			"version": "1.20230814.1",
-			"resolved": "https://registry.npmjs.org/@cloudflare/workerd-darwin-64/-/workerd-darwin-64-1.20230814.1.tgz",
-			"integrity": "sha512-aQUO7q7qXl+SVtOiMMlVKLNOSeL6GX43RKeflwzsD74dGgyHPiSfw5KCvXhkVbyN7u+yYF6HyFdaIvHLfn5jyA==",
+			"version": "1.20241022.0",
+			"resolved": "https://registry.npmjs.org/@cloudflare/workerd-darwin-64/-/workerd-darwin-64-1.20241022.0.tgz",
+			"integrity": "sha512-1NNYun37myMTgCUiPQEJ0cMal4mKZVTpkD0b2tx9hV70xji+frVJcSK8YVLeUm1P+Rw1d/ct8DMgQuCpsz3Fsw==",
 			"cpu": [
 				"x64"
 			],
@@ -687,9 +690,9 @@
 			}
 		},
 		"node_modules/@cloudflare/workerd-darwin-arm64": {
-			"version": "1.20230814.1",
-			"resolved": "https://registry.npmjs.org/@cloudflare/workerd-darwin-arm64/-/workerd-darwin-arm64-1.20230814.1.tgz",
-			"integrity": "sha512-U2mcgi+AiuI/4EY5Wk/GmygiNoCNw/V2mcHmxESqe4r6XbJYOzBdEsjnqJ05rqd0JlEM8m64jRtE6/qBnQHygg==",
+			"version": "1.20241022.0",
+			"resolved": "https://registry.npmjs.org/@cloudflare/workerd-darwin-arm64/-/workerd-darwin-arm64-1.20241022.0.tgz",
+			"integrity": "sha512-FOO/0P0U82EsTLTdweNVgw+4VOk5nghExLPLSppdOziq6IR5HVgP44Kmq5LdsUeHUhwUmfOh9hzaTpkNzUqKvw==",
 			"cpu": [
 				"arm64"
 			],
@@ -703,9 +706,9 @@
 			}
 		},
 		"node_modules/@cloudflare/workerd-linux-64": {
-			"version": "1.20230814.1",
-			"resolved": "https://registry.npmjs.org/@cloudflare/workerd-linux-64/-/workerd-linux-64-1.20230814.1.tgz",
-			"integrity": "sha512-Q4kITXLTCuG2i2Z01fbb5AjVRRIf3+lS4ZVsFbTbIwtcOOG4Ozcw7ee7tKsFES7hFqR4Eg9gMG4/aS0mmi+L2g==",
+			"version": "1.20241022.0",
+			"resolved": "https://registry.npmjs.org/@cloudflare/workerd-linux-64/-/workerd-linux-64-1.20241022.0.tgz",
+			"integrity": "sha512-RsNc19BQJG9yd+ngnjuDeG9ywZG+7t1L4JeglgceyY5ViMNMKVO7Zpbsu69kXslU9h6xyQG+lrmclg3cBpnhYA==",
 			"cpu": [
 				"x64"
 			],
@@ -719,9 +722,9 @@
 			}
 		},
 		"node_modules/@cloudflare/workerd-linux-arm64": {
-			"version": "1.20230814.1",
-			"resolved": "https://registry.npmjs.org/@cloudflare/workerd-linux-arm64/-/workerd-linux-arm64-1.20230814.1.tgz",
-			"integrity": "sha512-BX5SaksXw+pkREVw3Rw2eSNXplqZw+14CcwW/5x/4oq/C6yn5qCvKxJfM7pukJGMI4wkJPOYops7B3g27FB/HA==",
+			"version": "1.20241022.0",
+			"resolved": "https://registry.npmjs.org/@cloudflare/workerd-linux-arm64/-/workerd-linux-arm64-1.20241022.0.tgz",
+			"integrity": "sha512-x5mUXpKxfsosxcFmcq5DaqLs37PejHYVRsNz1cWI59ma7aC4y4Qn6Tf3i0r9MwQTF/MccP4SjVslMU6m4W7IaA==",
 			"cpu": [
 				"arm64"
 			],
@@ -735,9 +738,9 @@
 			}
 		},
 		"node_modules/@cloudflare/workerd-windows-64": {
-			"version": "1.20230814.1",
-			"resolved": "https://registry.npmjs.org/@cloudflare/workerd-windows-64/-/workerd-windows-64-1.20230814.1.tgz",
-			"integrity": "sha512-GWHqfyhsG/1wm2W8afkYX3q3fWXUWWD8NGtHfAs6ZVTHdW3mmYyMhKR0lc6ptBwz5i5aXRlP2S+CxxxwwDbKpw==",
+			"version": "1.20241022.0",
+			"resolved": "https://registry.npmjs.org/@cloudflare/workerd-windows-64/-/workerd-windows-64-1.20241022.0.tgz",
+			"integrity": "sha512-eBCClx4szCOgKqOlxxbdNszMqQf3MRG1B9BRIqEM/diDfdR9IrZ8l3FaEm+l9gXgPmS6m1NBn40aWuGBl8UTSw==",
 			"cpu": [
 				"x64"
 			],
@@ -750,25 +753,60 @@
 				"node": ">=16"
 			}
 		},
+		"node_modules/@cloudflare/workers-shared": {
+			"version": "0.7.0",
+			"resolved": "https://registry.npmjs.org/@cloudflare/workers-shared/-/workers-shared-0.7.0.tgz",
+			"integrity": "sha512-LLQRTqx7lKC7o2eCYMpyc5FXV8d0pUX6r3A+agzhqS9aoR5A6zCPefwQGcvbKx83ozX22ATZcemwxQXn12UofQ==",
+			"dev": true,
+			"dependencies": {
+				"mime": "^3.0.0",
+				"zod": "^3.22.3"
+			},
+			"engines": {
+				"node": ">=16.7.0"
+			}
+		},
 		"node_modules/@cloudflare/workers-types": {
-			"version": "4.20230821.0",
-			"resolved": "https://registry.npmjs.org/@cloudflare/workers-types/-/workers-types-4.20230821.0.tgz",
-			"integrity": "sha512-lVQSyr5E4CEkQw7WIdsrMTj+kHjsm28mJ0B5AhNFByKR+16KTFsU/RW/nGLKHHW2jxT5lvYI+HjNQMzC9QR8Ng==",
+			"version": "4.20241106.0",
+			"resolved": "https://registry.npmjs.org/@cloudflare/workers-types/-/workers-types-4.20241106.0.tgz",
+			"integrity": "sha512-pI4ivacmp+vgNO/siHDsZ6BdITR0LC4Mh/1+yzVLcl9U75pt5DUDCOWOiqIRFXRq6H65DPnJbEPFo3x9UfgofQ==",
 			"dev": true
 		},
+		"node_modules/@cspotcode/source-map-support": {
+			"version": "0.8.1",
+			"resolved": "https://registry.npmjs.org/@cspotcode/source-map-support/-/source-map-support-0.8.1.tgz",
+			"integrity": "sha512-IchNf6dN4tHoMFIn/7OE8LWZ19Y6q/67Bmf6vnGREv8RSbBVb9LPJxEcnwrcwX6ixSvaiGoomAUvu4YSxXrVgw==",
+			"dev": true,
+			"dependencies": {
+				"@jridgewell/trace-mapping": "0.3.9"
+			},
+			"engines": {
+				"node": ">=12"
+			}
+		},
+		"node_modules/@cspotcode/source-map-support/node_modules/@jridgewell/trace-mapping": {
+			"version": "0.3.9",
+			"resolved": "https://registry.npmjs.org/@jridgewell/trace-mapping/-/trace-mapping-0.3.9.tgz",
+			"integrity": "sha512-3Belt6tdc8bPgAtbcmdtNJlirVoTmEb5e2gC94PnkwEW9jI6CAHUeoG85tjWP5WquqfavoMtMwiG4P926ZKKuQ==",
+			"dev": true,
+			"dependencies": {
+				"@jridgewell/resolve-uri": "^3.0.3",
+				"@jridgewell/sourcemap-codec": "^1.4.10"
+			}
+		},
 		"node_modules/@esbuild-plugins/node-globals-polyfill": {
-			"version": "0.1.1",
-			"resolved": "https://registry.npmjs.org/@esbuild-plugins/node-globals-polyfill/-/node-globals-polyfill-0.1.1.tgz",
-			"integrity": "sha512-MR0oAA+mlnJWrt1RQVQ+4VYuRJW/P2YmRTv1AsplObyvuBMnPHiizUF95HHYiSsMGLhyGtWufaq2XQg6+iurBg==",
+			"version": "0.2.3",
+			"resolved": "https://registry.npmjs.org/@esbuild-plugins/node-globals-polyfill/-/node-globals-polyfill-0.2.3.tgz",
+			"integrity": "sha512-r3MIryXDeXDOZh7ih1l/yE9ZLORCd5e8vWg02azWRGj5SPTuoh69A2AIyn0Z31V/kHBfZ4HgWJ+OK3GTTwLmnw==",
 			"dev": true,
 			"peerDependencies": {
 				"esbuild": "*"
 			}
 		},
 		"node_modules/@esbuild-plugins/node-modules-polyfill": {
-			"version": "0.1.4",
-			"resolved": "https://registry.npmjs.org/@esbuild-plugins/node-modules-polyfill/-/node-modules-polyfill-0.1.4.tgz",
-			"integrity": "sha512-uZbcXi0zbmKC/050p3gJnne5Qdzw8vkXIv+c2BW0Lsc1ji1SkrxbKPUy5Efr0blbTu1SL8w4eyfpnSdPg3G0Qg==",
+			"version": "0.2.2",
+			"resolved": "https://registry.npmjs.org/@esbuild-plugins/node-modules-polyfill/-/node-modules-polyfill-0.2.2.tgz",
+			"integrity": "sha512-LXV7QsWJxRuMYvKbiznh+U1ilIop3g2TeKRzUxOG5X3YITc8JyyTa90BmLwqqv0YnX4v32CSlG+vsziZp9dMvA==",
 			"dev": true,
 			"dependencies": {
 				"escape-string-regexp": "^4.0.0",
@@ -791,9 +829,9 @@
 			}
 		},
 		"node_modules/@esbuild/android-arm": {
-			"version": "0.16.3",
-			"resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.16.3.tgz",
-			"integrity": "sha512-mueuEoh+s1eRbSJqq9KNBQwI4QhQV6sRXIfTyLXSHGMpyew61rOK4qY21uKbXl1iBoMb0AdL1deWFCQVlN2qHA==",
+			"version": "0.17.19",
+			"resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.17.19.tgz",
+			"integrity": "sha512-rIKddzqhmav7MSmoFCmDIb6e2W57geRsM94gV2l38fzhXMwq7hZoClug9USI2pFRGL06f4IOPHHpFNOkWieR8A==",
 			"cpu": [
 				"arm"
 			],
@@ -807,9 +845,9 @@
 			}
 		},
 		"node_modules/@esbuild/android-arm64": {
-			"version": "0.16.3",
-			"resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.16.3.tgz",
-			"integrity": "sha512-RolFVeinkeraDvN/OoRf1F/lP0KUfGNb5jxy/vkIMeRRChkrX/HTYN6TYZosRJs3a1+8wqpxAo5PI5hFmxyPRg==",
+			"version": "0.17.19",
+			"resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.17.19.tgz",
+			"integrity": "sha512-KBMWvEZooR7+kzY0BtbTQn0OAYY7CsiydT63pVEaPtVYF0hXbUaOyZog37DKxK7NF3XacBJOpYT4adIJh+avxA==",
 			"cpu": [
 				"arm64"
 			],
@@ -823,9 +861,9 @@
 			}
 		},
 		"node_modules/@esbuild/android-x64": {
-			"version": "0.16.3",
-			"resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.16.3.tgz",
-			"integrity": "sha512-SFpTUcIT1bIJuCCBMCQWq1bL2gPTjWoLZdjmIhjdcQHaUfV41OQfho6Ici5uvvkMmZRXIUGpM3GxysP/EU7ifQ==",
+			"version": "0.17.19",
+			"resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.17.19.tgz",
+			"integrity": "sha512-uUTTc4xGNDT7YSArp/zbtmbhO0uEEK9/ETW29Wk1thYUJBz3IVnvgEiEwEa9IeLyvnpKrWK64Utw2bgUmDveww==",
 			"cpu": [
 				"x64"
 			],
@@ -839,9 +877,9 @@
 			}
 		},
 		"node_modules/@esbuild/darwin-arm64": {
-			"version": "0.16.3",
-			"resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.16.3.tgz",
-			"integrity": "sha512-DO8WykMyB+N9mIDfI/Hug70Dk1KipavlGAecxS3jDUwAbTpDXj0Lcwzw9svkhxfpCagDmpaTMgxWK8/C/XcXvw==",
+			"version": "0.17.19",
+			"resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.17.19.tgz",
+			"integrity": "sha512-80wEoCfF/hFKM6WE1FyBHc9SfUblloAWx6FJkFWTWiCoht9Mc0ARGEM47e67W9rI09YoUxJL68WHfDRYEAvOhg==",
 			"cpu": [
 				"arm64"
 			],
@@ -855,9 +893,9 @@
 			}
 		},
 		"node_modules/@esbuild/darwin-x64": {
-			"version": "0.16.3",
-			"resolved": "https://registry.npmjs.org/@esbuild/darwin-x64/-/darwin-x64-0.16.3.tgz",
-			"integrity": "sha512-uEqZQ2omc6BvWqdCiyZ5+XmxuHEi1SPzpVxXCSSV2+Sh7sbXbpeNhHIeFrIpRjAs0lI1FmA1iIOxFozKBhKgRQ==",
+			"version": "0.17.19",
+			"resolved": "https://registry.npmjs.org/@esbuild/darwin-x64/-/darwin-x64-0.17.19.tgz",
+			"integrity": "sha512-IJM4JJsLhRYr9xdtLytPLSH9k/oxR3boaUIYiHkAawtwNOXKE8KoU8tMvryogdcT8AU+Bflmh81Xn6Q0vTZbQw==",
 			"cpu": [
 				"x64"
 			],
@@ -871,9 +909,9 @@
 			}
 		},
 		"node_modules/@esbuild/freebsd-arm64": {
-			"version": "0.16.3",
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@@ -5287,18 +4897,6 @@
 			"integrity": "sha512-AEYxH93jGFPn/a2iVAwW87VuUIkR1FVUKB77NwMF7nBTDkDrrT/Hpt/IrCJ0QXhW27jTBDcf5ZY7w6RiqTMw2Q==",
 			"dev": true
 		},
-		"node_modules/tunnel-agent": {
-			"version": "0.6.0",
-			"resolved": "https://registry.npmjs.org/tunnel-agent/-/tunnel-agent-0.6.0.tgz",
-			"integrity": "sha512-McnNiV1l8RYeY8tBgEpuodCC1mLUdbSN+CYBL7kJsJNInOP8UjDDEwdk6Mw60vdLLrr5NHKZhMAOSrR2NZuQ+w==",
-			"dev": true,
-			"dependencies": {
-				"safe-buffer": "^5.0.1"
-			},
-			"engines": {
-				"node": "*"
-			}
-		},
 		"node_modules/type-detect": {
 			"version": "4.0.8",
 			"resolved": "https://registry.npmjs.org/type-detect/-/type-detect-4.0.8.tgz",
@@ -5333,18 +4931,37 @@
 				"node": ">=12.20"
 			}
 		},
+		"node_modules/ufo": {
+			"version": "1.5.4",
+			"resolved": "https://registry.npmjs.org/ufo/-/ufo-1.5.4.tgz",
+			"integrity": "sha512-UsUk3byDzKd04EyoZ7U4DOlxQaD14JUKQl6/P7wiX4FNvUfm3XL246n9W5AmqwW5RSFJ27NAuM0iLscAOYUiGQ==",
+			"dev": true
+		},
 		"node_modules/undici": {
-			"version": "5.23.0",
-			"resolved": "https://registry.npmjs.org/undici/-/undici-5.23.0.tgz",
-			"integrity": "sha512-1D7w+fvRsqlQ9GscLBwcAJinqcZGHUKjbOmXdlE/v8BvEGXjeWAax+341q44EuTcHXXnfyKNbKRq4Lg7OzhMmg==",
+			"version": "5.28.4",
+			"resolved": "https://registry.npmjs.org/undici/-/undici-5.28.4.tgz",
+			"integrity": "sha512-72RFADWFqKmUb2hmmvNODKL3p9hcB6Gt2DOQMis1SEBaV6a4MH8soBvzg+95CYhCKPFedut2JY9bMfrDl9D23g==",
 			"dev": true,
 			"dependencies": {
-				"busboy": "^1.6.0"
+				"@fastify/busboy": "^2.0.0"
 			},
 			"engines": {
 				"node": ">=14.0"
 			}
 		},
+		"node_modules/unenv": {
+			"name": "unenv-nightly",
+			"version": "2.0.0-20241024-111401-d4156ac",
+			"resolved": "https://registry.npmjs.org/unenv-nightly/-/unenv-nightly-2.0.0-20241024-111401-d4156ac.tgz",
+			"integrity": "sha512-xJO1hfY+Te+/XnfCYrCbFbRcgu6XEODND1s5wnVbaBCkuQX7JXF7fHEXPrukFE2j8EOH848P8QN19VO47XN8hw==",
+			"dev": true,
+			"dependencies": {
+				"defu": "^6.1.4",
+				"ohash": "^1.1.4",
+				"pathe": "^1.1.2",
+				"ufo": "^1.5.4"
+			}
+		},
 		"node_modules/update-browserslist-db": {
 			"version": "1.0.11",
 			"resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.0.11.tgz",
@@ -5375,12 +4992,6 @@
 				"browserslist": ">= 4.21.0"
 			}
 		},
-		"node_modules/util-deprecate": {
-			"version": "1.0.2",
-			"resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz",
-			"integrity": "sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw==",
-			"dev": true
-		},
 		"node_modules/v8-to-istanbul": {
 			"version": "9.2.0",
 			"resolved": "https://registry.npmjs.org/v8-to-istanbul/-/v8-to-istanbul-9.2.0.tgz",
@@ -5447,9 +5058,9 @@
 			}
 		},
 		"node_modules/workerd": {
-			"version": "1.20230814.1",
-			"resolved": "https://registry.npmjs.org/workerd/-/workerd-1.20230814.1.tgz",
-			"integrity": "sha512-zJeSEteXuAD+bpYJT8WvzTAHvIAkKPVxOV+Jy6zCLKz5e08N3OUbAF+wrvGWc8b2aB1sj+IYsdXfkv4puH+qXQ==",
+			"version": "1.20241022.0",
+			"resolved": "https://registry.npmjs.org/workerd/-/workerd-1.20241022.0.tgz",
+			"integrity": "sha512-jyGXsgO9DRcJyx6Ovv7gUyDPc3UYC2i/E0p9GFUg6GUzpldw4Y93y9kOmdfsOnKZ3+lY53veSiUniiBPE6Q2NQ==",
 			"dev": true,
 			"hasInstallScript": true,
 			"bin": {
@@ -5459,30 +5070,37 @@
 				"node": ">=16"
 			},
 			"optionalDependencies": {
-				"@cloudflare/workerd-darwin-64": "1.20230814.1",
-				"@cloudflare/workerd-darwin-arm64": "1.20230814.1",
-				"@cloudflare/workerd-linux-64": "1.20230814.1",
-				"@cloudflare/workerd-linux-arm64": "1.20230814.1",
-				"@cloudflare/workerd-windows-64": "1.20230814.1"
+				"@cloudflare/workerd-darwin-64": "1.20241022.0",
+				"@cloudflare/workerd-darwin-arm64": "1.20241022.0",
+				"@cloudflare/workerd-linux-64": "1.20241022.0",
+				"@cloudflare/workerd-linux-arm64": "1.20241022.0",
+				"@cloudflare/workerd-windows-64": "1.20241022.0"
 			}
 		},
 		"node_modules/wrangler": {
-			"version": "3.6.0",
-			"resolved": "https://registry.npmjs.org/wrangler/-/wrangler-3.6.0.tgz",
-			"integrity": "sha512-GWs4+gIUK+086svW/TgFhhxxrl/hdW2L7WASbdc10dJT7yFmCXse0SnHiqWUxbFu3ScP2t3a3LszJ08wwolWHg==",
+			"version": "3.85.0",
+			"resolved": "https://registry.npmjs.org/wrangler/-/wrangler-3.85.0.tgz",
+			"integrity": "sha512-r5YCWUaF4ApLnloNE6jHHgRYdFzYHoajTlC1tns42UzQ2Ls63VAqD3b0cxOqzDUfmlSb3skpmu0B0Ssi3QWPAg==",
 			"dev": true,
 			"dependencies": {
-				"@cloudflare/kv-asset-handler": "^0.2.0",
-				"@esbuild-plugins/node-globals-polyfill": "^0.1.1",
-				"@esbuild-plugins/node-modules-polyfill": "^0.1.4",
+				"@cloudflare/kv-asset-handler": "0.3.4",
+				"@cloudflare/workers-shared": "0.7.0",
+				"@esbuild-plugins/node-globals-polyfill": "^0.2.3",
+				"@esbuild-plugins/node-modules-polyfill": "^0.2.2",
 				"blake3-wasm": "^2.1.5",
 				"chokidar": "^3.5.3",
-				"esbuild": "0.16.3",
-				"miniflare": "3.20230814.1",
+				"date-fns": "^4.1.0",
+				"esbuild": "0.17.19",
+				"itty-time": "^1.0.6",
+				"miniflare": "3.20241022.0",
 				"nanoid": "^3.3.3",
-				"path-to-regexp": "^6.2.0",
+				"path-to-regexp": "^6.3.0",
+				"resolve": "^1.22.8",
+				"resolve.exports": "^2.0.2",
 				"selfsigned": "^2.0.1",
-				"source-map": "^0.7.4",
+				"source-map": "^0.6.1",
+				"unenv": "npm:unenv-nightly@2.0.0-20241024-111401-d4156ac",
+				"workerd": "1.20241022.0",
 				"xxhash-wasm": "^1.0.1"
 			},
 			"bin": {
@@ -5490,19 +5108,18 @@
 				"wrangler2": "bin/wrangler.js"
 			},
 			"engines": {
-				"node": ">=16.13.0"
+				"node": ">=16.17.0"
 			},
 			"optionalDependencies": {
 				"fsevents": "~2.3.2"
-			}
-		},
-		"node_modules/wrangler/node_modules/source-map": {
-			"version": "0.7.4",
-			"resolved": "https://registry.npmjs.org/source-map/-/source-map-0.7.4.tgz",
-			"integrity": "sha512-l3BikUxvPOcn5E74dZiq5BGsTb5yEwhaTSzccU6t4sDOH8NWJCstKO5QT2CvtFoK6F0saL7p9xHAqHOlCPJygA==",
-			"dev": true,
-			"engines": {
-				"node": ">= 8"
+			},
+			"peerDependencies": {
+				"@cloudflare/workers-types": "^4.20241022.0"
+			},
+			"peerDependenciesMeta": {
+				"@cloudflare/workers-types": {
+					"optional": true
+				}
 			}
 		},
 		"node_modules/wrap-ansi": {
@@ -5542,9 +5159,9 @@
 			}
 		},
 		"node_modules/ws": {
-			"version": "8.13.0",
-			"resolved": "https://registry.npmjs.org/ws/-/ws-8.13.0.tgz",
-			"integrity": "sha512-x9vcZYTrFPC7aSIbj7sRCYo7L/Xb8Iy+pW0ng0wt2vCJv7M9HOMy0UoN3rr+IFC7hb7vXoqS+P9ktyLLLhO+LA==",
+			"version": "8.18.0",
+			"resolved": "https://registry.npmjs.org/ws/-/ws-8.18.0.tgz",
+			"integrity": "sha512-8VbfWfHLbbwu3+N6OKsOMpBdT4kXPDDB9cJk2bJ6mh9ucxdlnNvH1e+roYkKmN9Nxw2yjz7VzeO9oOz2zJ04Pw==",
 			"dev": true,
 			"engines": {
 				"node": ">=10.0.0"
@@ -5623,20 +5240,20 @@
 			}
 		},
 		"node_modules/youch": {
-			"version": "3.2.3",
-			"resolved": "https://registry.npmjs.org/youch/-/youch-3.2.3.tgz",
-			"integrity": "sha512-ZBcWz/uzZaQVdCvfV4uk616Bbpf2ee+F/AvuKDR5EwX/Y4v06xWdtMluqTD7+KlZdM93lLm9gMZYo0sKBS0pgw==",
+			"version": "3.3.4",
+			"resolved": "https://registry.npmjs.org/youch/-/youch-3.3.4.tgz",
+			"integrity": "sha512-UeVBXie8cA35DS6+nBkls68xaBBXCye0CNznrhszZjTbRVnJKQuNsyLKBTTL4ln1o1rh2PKtv35twV7irj5SEg==",
 			"dev": true,
 			"dependencies": {
-				"cookie": "^0.5.0",
+				"cookie": "^0.7.1",
 				"mustache": "^4.2.0",
 				"stacktracey": "^2.1.8"
 			}
 		},
 		"node_modules/zod": {
-			"version": "3.22.2",
-			"resolved": "https://registry.npmjs.org/zod/-/zod-3.22.2.tgz",
-			"integrity": "sha512-wvWkphh5WQsJbVk1tbx1l1Ly4yg+XecD+Mq280uBGt9wa5BKSWf4Mhp6GmrkPixhMxmabYY7RbzlwVP32pbGCg==",
+			"version": "3.23.8",
+			"resolved": "https://registry.npmjs.org/zod/-/zod-3.23.8.tgz",
+			"integrity": "sha512-XBx9AXhXktjUqnepgTiE5flcKIYWi/rme0Eaj+5Y0lftuGBq+jyRu/md4WnuxqgP1ubdpNCsYEYPxrzVHD8d6g==",
 			"dev": true,
 			"funding": {
 				"url": "https://github.com/sponsors/colinhacks"
diff --git a/ecosystem-tests/cloudflare-worker/package.json b/ecosystem-tests/cloudflare-worker/package.json
index 463de4045..3034e97f7 100644
--- a/ecosystem-tests/cloudflare-worker/package.json
+++ b/ecosystem-tests/cloudflare-worker/package.json
@@ -17,7 +17,7 @@
 		"start-server-and-test": "^2.0.0",
 		"ts-jest": "^29.1.0",
 		"typescript": "5.0.4",
-		"wrangler": "^3.0.0"
+		"wrangler": "^3.85.0"
 	},
 	"dependencies": {
 		"node-fetch": "^3.3.1"
diff --git a/ecosystem-tests/deno/deno.jsonc b/ecosystem-tests/deno/deno.jsonc
index ba78e9d30..46d7ee486 100644
--- a/ecosystem-tests/deno/deno.jsonc
+++ b/ecosystem-tests/deno/deno.jsonc
@@ -1,7 +1,10 @@
 {
   "tasks": {
     "install": "deno install --node-modules-dir main_test.ts -f",
-    "check": "deno lint && deno check main_test.ts",
-    "test": "deno test --allow-env --allow-net --allow-read --node-modules-dir"
+    "test": "deno test --allow-env --allow-net --allow-read --node-modules-dir --unstable-sloppy-imports --no-check"
+  },
+  "imports": {
+    "openai": "../../dist-deno/index.ts",
+    "openai/": "../../dist-deno/"
   }
 }
diff --git a/ecosystem-tests/deno/deno.lock b/ecosystem-tests/deno/deno.lock
index 17a25fcbc..aa22a1427 100644
--- a/ecosystem-tests/deno/deno.lock
+++ b/ecosystem-tests/deno/deno.lock
@@ -1,20 +1,14 @@
 {
-  "version": "2",
-  "remote": {
-    "https://deno.land/std@0.192.0/fmt/colors.ts": "d67e3cd9f472535241a8e410d33423980bec45047e343577554d3356e1f0ef4e",
-    "https://deno.land/std@0.192.0/testing/_diff.ts": "1a3c044aedf77647d6cac86b798c6417603361b66b54c53331b312caeb447aea",
-    "https://deno.land/std@0.192.0/testing/_format.ts": "a69126e8a469009adf4cf2a50af889aca364c349797e63174884a52ff75cf4c7",
-    "https://deno.land/std@0.192.0/testing/asserts.ts": "e16d98b4d73ffc4ed498d717307a12500ae4f2cbe668f1a215632d19fcffc22f"
-  },
-  "npm": {
+  "version": "3",
+  "packages": {
     "specifiers": {
-      "@types/node@^20.3.1": "@types/node@20.3.1",
-      "node-fetch@^3.0.0": "node-fetch@3.3.1",
-      "openai": "openai@3.3.0",
-      "ts-node@^10.9.1": "ts-node@10.9.1_@types+node@20.3.1_typescript@5.1.3",
-      "typescript@^5.1.3": "typescript@5.1.3"
+      "npm:@types/node@^20.3.1": "npm:@types/node@20.3.1",
+      "npm:node-fetch@^3.0.0": "npm:node-fetch@3.3.1",
+      "npm:openai": "npm:openai@3.3.0",
+      "npm:ts-node@^10.9.1": "npm:ts-node@10.9.1_@types+node@20.3.1_typescript@5.1.3",
+      "npm:typescript@^5.1.3": "npm:typescript@5.1.3"
     },
-    "packages": {
+    "npm": {
       "@cspotcode/source-map-support@0.8.1": {
         "integrity": "sha512-IchNf6dN4tHoMFIn/7OE8LWZ19Y6q/67Bmf6vnGREv8RSbBVb9LPJxEcnwrcwX6ixSvaiGoomAUvu4YSxXrVgw==",
         "dependencies": {
@@ -195,5 +189,15 @@
         "dependencies": {}
       }
     }
+  },
+  "redirects": {
+    "https://deno.land/x/fastest_levenshtein/mod.ts": "https://deno.land/x/fastest_levenshtein@1.0.10/mod.ts"
+  },
+  "remote": {
+    "https://deno.land/std@0.192.0/fmt/colors.ts": "d67e3cd9f472535241a8e410d33423980bec45047e343577554d3356e1f0ef4e",
+    "https://deno.land/std@0.192.0/testing/_diff.ts": "1a3c044aedf77647d6cac86b798c6417603361b66b54c53331b312caeb447aea",
+    "https://deno.land/std@0.192.0/testing/_format.ts": "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/import_map.json b/ecosystem-tests/deno/import_map.json
deleted file mode 100644
index 941f5396b..000000000
--- a/ecosystem-tests/deno/import_map.json
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-  "imports": {
-    "/": "./",
-    "./": "./"
-  }
-}
diff --git a/ecosystem-tests/deno/main_test.ts b/ecosystem-tests/deno/main_test.ts
index b841b4053..b27c9079b 100644
--- a/ecosystem-tests/deno/main_test.ts
+++ b/ecosystem-tests/deno/main_test.ts
@@ -1,7 +1,6 @@
 import { assertEquals, AssertionError } from 'https://deno.land/std@0.192.0/testing/asserts.ts';
-import OpenAI, { toFile } from 'npm:openai@3.3.0';
 import { distance } from 'https://deno.land/x/fastest_levenshtein/mod.ts';
-import { ChatCompletion } from 'npm:openai@3.3.0/resources/chat/completions';
+import OpenAI, { toFile } from 'openai';
 
 const url = 'https://audio-samples.github.io/samples/mp3/blizzard_biased/sample-1.mp3';
 const filename = 'sample-1.mp3';
@@ -66,7 +65,7 @@ Deno.test(async function rawResponse() {
     offset += chunk.length;
   }
 
-  const json: ChatCompletion = JSON.parse(new TextDecoder().decode(merged));
+  const json: OpenAI.ChatCompletion = JSON.parse(new TextDecoder().decode(merged));
   assertSimilar(json.choices[0]?.message.content || '', 'This is a test', 10);
 });
 
diff --git a/ecosystem-tests/node-js/package-lock.json b/ecosystem-tests/node-js/package-lock.json
new file mode 100644
index 000000000..bb59ccb92
--- /dev/null
+++ b/ecosystem-tests/node-js/package-lock.json
@@ -0,0 +1,244 @@
+{
+  "name": "node-js",
+  "version": "1.0.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "foo",
+      "version": "1.0.0",
+      "license": "ISC",
+      "dependencies": {
+        "openai": "^4.40.1"
+      }
+    },
+    "node_modules/@types/node": {
+      "version": "18.19.31",
+      "resolved": "https://registry.npmjs.org/@types/node/-/node-18.19.31.tgz",
+      "integrity": "sha512-ArgCD39YpyyrtFKIqMDvjz79jto5fcI/SVUs2HwB+f0dAzq68yqOdyaSivLiLugSziTpNXLQrVb7RZFmdZzbhA==",
+      "dependencies": {
+        "undici-types": "~5.26.4"
+      }
+    },
+    "node_modules/@types/node-fetch": {
+      "version": "2.6.11",
+      "resolved": "https://registry.npmjs.org/@types/node-fetch/-/node-fetch-2.6.11.tgz",
+      "integrity": "sha512-24xFj9R5+rfQJLRyM56qh+wnVSYhyXC2tkoBndtY0U+vubqNsYXGjufB2nn8Q6gt0LrARwL6UBtMCSVCwl4B1g==",
+      "dependencies": {
+        "@types/node": "*",
+        "form-data": "^4.0.0"
+      }
+    },
+    "node_modules/abort-controller": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/abort-controller/-/abort-controller-3.0.0.tgz",
+      "integrity": "sha512-h8lQ8tacZYnR3vNQTgibj+tODHI5/+l06Au2Pcriv/Gmet0eaj4TwWH41sO9wnHDiQsEj19q0drzdWdeAHtweg==",
+      "dependencies": {
+        "event-target-shim": "^5.0.0"
+      },
+      "engines": {
+        "node": ">=6.5"
+      }
+    },
+    "node_modules/agentkeepalive": {
+      "version": "4.5.0",
+      "resolved": "https://registry.npmjs.org/agentkeepalive/-/agentkeepalive-4.5.0.tgz",
+      "integrity": "sha512-5GG/5IbQQpC9FpkRGsSvZI5QYeSCzlJHdpBQntCsuTOxhKD8lqKhrleg2Yi7yvMIf82Ycmmqln9U8V9qwEiJew==",
+      "dependencies": {
+        "humanize-ms": "^1.2.1"
+      },
+      "engines": {
+        "node": ">= 8.0.0"
+      }
+    },
+    "node_modules/asynckit": {
+      "version": "0.4.0",
+      "resolved": "https://registry.npmjs.org/asynckit/-/asynckit-0.4.0.tgz",
+      "integrity": "sha512-Oei9OH4tRh0YqU3GxhX79dM/mwVgvbZJaSNaRk+bshkj0S5cfHcgYakreBjrHwatXKbz+IoIdYLxrKim2MjW0Q=="
+    },
+    "node_modules/combined-stream": {
+      "version": "1.0.8",
+      "resolved": "https://registry.npmjs.org/combined-stream/-/combined-stream-1.0.8.tgz",
+      "integrity": "sha512-FQN4MRfuJeHf7cBbBMJFXhKSDq+2kAArBlmRBvcvFE5BB1HZKXtSFASDhdlz9zOYwxh8lDdnvmMOe/+5cdoEdg==",
+      "dependencies": {
+        "delayed-stream": "~1.0.0"
+      },
+      "engines": {
+        "node": ">= 0.8"
+      }
+    },
+    "node_modules/delayed-stream": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/delayed-stream/-/delayed-stream-1.0.0.tgz",
+      "integrity": "sha512-ZySD7Nf91aLB0RxL4KGrKHBXl7Eds1DAmEdcoVawXnLD7SDhpNgtuII2aAkg7a7QS41jxPSZ17p4VdGnMHk3MQ==",
+      "engines": {
+        "node": ">=0.4.0"
+      }
+    },
+    "node_modules/event-target-shim": {
+      "version": "5.0.1",
+      "resolved": "https://registry.npmjs.org/event-target-shim/-/event-target-shim-5.0.1.tgz",
+      "integrity": "sha512-i/2XbnSz/uxRCU6+NdVJgKWDTM427+MqYbkQzD321DuCQJUqOuJKIA0IM2+W2xtYHdKOmZ4dR6fExsd4SXL+WQ==",
+      "engines": {
+        "node": ">=6"
+      }
+    },
+    "node_modules/form-data": {
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/form-data/-/form-data-4.0.0.tgz",
+      "integrity": "sha512-ETEklSGi5t0QMZuiXoA/Q6vcnxcLQP5vdugSpuAyi6SVGi2clPPp+xgEhuMaHC+zGgn31Kd235W35f7Hykkaww==",
+      "dependencies": {
+        "asynckit": "^0.4.0",
+        "combined-stream": "^1.0.8",
+        "mime-types": "^2.1.12"
+      },
+      "engines": {
+        "node": ">= 6"
+      }
+    },
+    "node_modules/form-data-encoder": {
+      "version": "1.7.2",
+      "resolved": "https://registry.npmjs.org/form-data-encoder/-/form-data-encoder-1.7.2.tgz",
+      "integrity": "sha512-qfqtYan3rxrnCk1VYaA4H+Ms9xdpPqvLZa6xmMgFvhO32x7/3J/ExcTd6qpxM0vH2GdMI+poehyBZvqfMTto8A=="
+    },
+    "node_modules/formdata-node": {
+      "version": "4.4.1",
+      "resolved": "https://registry.npmjs.org/formdata-node/-/formdata-node-4.4.1.tgz",
+      "integrity": "sha512-0iirZp3uVDjVGt9p49aTaqjk84TrglENEDuqfdlZQ1roC9CWlPk6Avf8EEnZNcAqPonwkG35x4n3ww/1THYAeQ==",
+      "dependencies": {
+        "node-domexception": "1.0.0",
+        "web-streams-polyfill": "4.0.0-beta.3"
+      },
+      "engines": {
+        "node": ">= 12.20"
+      }
+    },
+    "node_modules/formdata-node/node_modules/web-streams-polyfill": {
+      "version": "4.0.0-beta.3",
+      "resolved": "https://registry.npmjs.org/web-streams-polyfill/-/web-streams-polyfill-4.0.0-beta.3.tgz",
+      "integrity": "sha512-QW95TCTaHmsYfHDybGMwO5IJIM93I/6vTRk+daHTWFPhwh+C8Cg7j7XyKrwrj8Ib6vYXe0ocYNrmzY4xAAN6ug==",
+      "engines": {
+        "node": ">= 14"
+      }
+    },
+    "node_modules/humanize-ms": {
+      "version": "1.2.1",
+      "resolved": "https://registry.npmjs.org/humanize-ms/-/humanize-ms-1.2.1.tgz",
+      "integrity": "sha512-Fl70vYtsAFb/C06PTS9dZBo7ihau+Tu/DNCk/OyHhea07S+aeMWpFFkUaXRa8fI+ScZbEI8dfSxwY7gxZ9SAVQ==",
+      "dependencies": {
+        "ms": "^2.0.0"
+      }
+    },
+    "node_modules/mime-db": {
+      "version": "1.52.0",
+      "resolved": "https://registry.npmjs.org/mime-db/-/mime-db-1.52.0.tgz",
+      "integrity": "sha512-sPU4uV7dYlvtWJxwwxHD0PuihVNiE7TyAbQ5SWxDCB9mUYvOgroQOwYQQOKPJ8CIbE+1ETVlOoK1UC2nU3gYvg==",
+      "engines": {
+        "node": ">= 0.6"
+      }
+    },
+    "node_modules/mime-types": {
+      "version": "2.1.35",
+      "resolved": "https://registry.npmjs.org/mime-types/-/mime-types-2.1.35.tgz",
+      "integrity": "sha512-ZDY+bPm5zTTF+YpCrAU9nK0UgICYPT0QtT1NZWFv4s++TNkcgVaT0g6+4R2uI4MjQjzysHB1zxuWL50hzaeXiw==",
+      "dependencies": {
+        "mime-db": "1.52.0"
+      },
+      "engines": {
+        "node": ">= 0.6"
+      }
+    },
+    "node_modules/ms": {
+      "version": "2.1.3",
+      "resolved": "https://registry.npmjs.org/ms/-/ms-2.1.3.tgz",
+      "integrity": "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA=="
+    },
+    "node_modules/node-domexception": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/node-domexception/-/node-domexception-1.0.0.tgz",
+      "integrity": "sha512-/jKZoMpw0F8GRwl4/eLROPA3cfcXtLApP0QzLmUT/HuPCZWyB7IY9ZrMeKw2O/nFIqPQB3PVM9aYm0F312AXDQ==",
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/jimmywarting"
+        },
+        {
+          "type": "github",
+          "url": "https://paypal.me/jimmywarting"
+        }
+      ],
+      "engines": {
+        "node": ">=10.5.0"
+      }
+    },
+    "node_modules/node-fetch": {
+      "version": "2.7.0",
+      "resolved": "https://registry.npmjs.org/node-fetch/-/node-fetch-2.7.0.tgz",
+      "integrity": "sha512-c4FRfUm/dbcWZ7U+1Wq0AwCyFL+3nt2bEw05wfxSz+DWpWsitgmSgYmy2dQdWyKC1694ELPqMs/YzUSNozLt8A==",
+      "dependencies": {
+        "whatwg-url": "^5.0.0"
+      },
+      "engines": {
+        "node": "4.x || >=6.0.0"
+      },
+      "peerDependencies": {
+        "encoding": "^0.1.0"
+      },
+      "peerDependenciesMeta": {
+        "encoding": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/openai": {
+      "version": "4.40.1",
+      "resolved": "https://registry.npmjs.org/openai/-/openai-4.40.1.tgz",
+      "integrity": "sha512-mS7LerF4fY1/we0aKGGwIWtosTJFLKuNbBWMBR/G1TAZUHoktAdod0dqIrlQvSD39uS6jNEEbT7jRsXmzfEPBw==",
+      "dependencies": {
+        "@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",
+        "web-streams-polyfill": "^3.2.1"
+      },
+      "bin": {
+        "openai": "bin/cli"
+      }
+    },
+    "node_modules/tr46": {
+      "version": "0.0.3",
+      "resolved": "https://registry.npmjs.org/tr46/-/tr46-0.0.3.tgz",
+      "integrity": "sha512-N3WMsuqV66lT30CrXNbEjx4GEwlow3v6rr4mCcv6prnfwhS01rkgyFdjPNBYd9br7LpXV1+Emh01fHnq2Gdgrw=="
+    },
+    "node_modules/undici-types": {
+      "version": "5.26.5",
+      "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-5.26.5.tgz",
+      "integrity": "sha512-JlCMO+ehdEIKqlFxk6IfVoAUVmgz7cU7zD/h9XZ0qzeosSHmUJVOzSQvvYSYWXkFXC+IfLKSIffhv0sVZup6pA=="
+    },
+    "node_modules/web-streams-polyfill": {
+      "version": "3.3.3",
+      "resolved": "https://registry.npmjs.org/web-streams-polyfill/-/web-streams-polyfill-3.3.3.tgz",
+      "integrity": "sha512-d2JWLCivmZYTSIoge9MsgFCZrt571BikcWGYkjC1khllbTeDlGqZ2D8vD8E/lJa8WGWbb7Plm8/XJYV7IJHZZw==",
+      "engines": {
+        "node": ">= 8"
+      }
+    },
+    "node_modules/webidl-conversions": {
+      "version": "3.0.1",
+      "resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-3.0.1.tgz",
+      "integrity": "sha512-2JAn3z8AR6rjK8Sm8orRC0h/bcl/DqL7tRPdGZ4I1CjdF+EaMLmYxBHyXuKL849eucPFhvBoxMsflfOb8kxaeQ=="
+    },
+    "node_modules/whatwg-url": {
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-5.0.0.tgz",
+      "integrity": "sha512-saE57nupxk6v3HY35+jzBwYa0rKSy0XR8JSxZPwgLr7ys0IBzhGviA1/TUGJLmSVqs8pb9AnvICXEuOHLprYTw==",
+      "dependencies": {
+        "tr46": "~0.0.3",
+        "webidl-conversions": "^3.0.0"
+      }
+    }
+  }
+}
diff --git a/ecosystem-tests/node-js/package.json b/ecosystem-tests/node-js/package.json
new file mode 100644
index 000000000..63f858014
--- /dev/null
+++ b/ecosystem-tests/node-js/package.json
@@ -0,0 +1,14 @@
+{
+  "name": "node-js",
+  "version": "1.0.0",
+  "description": "",
+  "main": "index.js",
+  "scripts": {
+    "test": "echo \"Error: no test specified\" && exit 1"
+  },
+  "author": "",
+  "license": "ISC",
+  "dependencies": {
+    "openai": "^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/moduleResolution/node/type-tests.ts b/ecosystem-tests/node-ts-cjs-auto/moduleResolution/node/type-tests.ts
index a3c4f383b..2621b2b47 100644
--- a/ecosystem-tests/node-ts-cjs-auto/moduleResolution/node/type-tests.ts
+++ b/ecosystem-tests/node-ts-cjs-auto/moduleResolution/node/type-tests.ts
@@ -9,6 +9,5 @@ async function typeTests() {
       model: 'whisper-1',
     })
     .asResponse();
-  // @ts-expect-error this doesn't work with "moduleResolution": "node"
   response.body;
 }
diff --git a/ecosystem-tests/node-ts-cjs-auto/package-lock.json b/ecosystem-tests/node-ts-cjs-auto/package-lock.json
index 56cf77290..c3880beb2 100644
--- a/ecosystem-tests/node-ts-cjs-auto/package-lock.json
+++ b/ecosystem-tests/node-ts-cjs-auto/package-lock.json
@@ -1093,19 +1093,22 @@
       }
     },
     "node_modules/@types/node": {
-      "version": "20.5.7",
-      "resolved": "https://registry.npmjs.org/@types/node/-/node-20.5.7.tgz",
-      "integrity": "sha512-dP7f3LdZIysZnmvP3ANJYTSwg+wLLl8p7RqniVlV7j+oXSXAbt9h0WIBFmJy5inWZoX9wZN6eXx+YXd9Rh3RBA==",
-      "dev": true
+      "version": "20.11.30",
+      "resolved": "https://registry.npmjs.org/@types/node/-/node-20.11.30.tgz",
+      "integrity": "sha512-dHM6ZxwlmuZaRmUPfv1p+KrdD1Dci04FbdEm/9wEMouFqxYoFl5aMkt0VMAUtYRQDyYvD41WJLukhq/ha3YuTw==",
+      "dev": true,
+      "dependencies": {
+        "undici-types": "~5.26.4"
+      }
     },
     "node_modules/@types/node-fetch": {
-      "version": "2.6.4",
-      "resolved": "https://registry.npmjs.org/@types/node-fetch/-/node-fetch-2.6.4.tgz",
-      "integrity": "sha512-1ZX9fcN4Rvkvgv4E6PAY5WXUFWFcRWxZa3EW83UjycOB9ljJCedb2CupIP4RZMEwF/M3eTcCihbBRgwtGbg5Rg==",
+      "version": "2.6.11",
+      "resolved": "https://registry.npmjs.org/@types/node-fetch/-/node-fetch-2.6.11.tgz",
+      "integrity": "sha512-24xFj9R5+rfQJLRyM56qh+wnVSYhyXC2tkoBndtY0U+vubqNsYXGjufB2nn8Q6gt0LrARwL6UBtMCSVCwl4B1g==",
       "dev": true,
       "dependencies": {
         "@types/node": "*",
-        "form-data": "^3.0.0"
+        "form-data": "^4.0.0"
       }
     },
     "node_modules/@types/prettier": {
@@ -1121,9 +1124,9 @@
       "dev": true
     },
     "node_modules/@types/ws": {
-      "version": "8.5.5",
-      "resolved": "https://registry.npmjs.org/@types/ws/-/ws-8.5.5.tgz",
-      "integrity": "sha512-lwhs8hktwxSjf9UaZ9tG5M03PGogvFaH8gUgLNbN9HKIg0dvv6q+gkSuJ8HN4/VbyxkuLzCjlN7GquQ0gUJfIg==",
+      "version": "8.5.10",
+      "resolved": "https://registry.npmjs.org/@types/ws/-/ws-8.5.10.tgz",
+      "integrity": "sha512-vmQSUcfalpIq0R9q7uTo2lXs6eGIpt9wtnLdMv9LVpIjCA/+ufZRozlVoVelIYixx1ugCBKDhn89vnsEGOCx9A==",
       "dev": true,
       "dependencies": {
         "@types/node": "*"
@@ -1780,9 +1783,9 @@
       }
     },
     "node_modules/form-data": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/form-data/-/form-data-3.0.1.tgz",
-      "integrity": "sha512-RHkBKtLWUVwd7SqRIvCZMEvAMoGUp0XU+seQiZejj0COz3RI3hWP4sCv3gZWWLjJTd7rGwcsF5eKZGii0r/hbg==",
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/form-data/-/form-data-4.0.0.tgz",
+      "integrity": "sha512-ETEklSGi5t0QMZuiXoA/Q6vcnxcLQP5vdugSpuAyi6SVGi2clPPp+xgEhuMaHC+zGgn31Kd235W35f7Hykkaww==",
       "dev": true,
       "dependencies": {
         "asynckit": "^0.4.0",
@@ -3684,6 +3687,12 @@
         "node": ">=4.2.0"
       }
     },
+    "node_modules/undici-types": {
+      "version": "5.26.5",
+      "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-5.26.5.tgz",
+      "integrity": "sha512-JlCMO+ehdEIKqlFxk6IfVoAUVmgz7cU7zD/h9XZ0qzeosSHmUJVOzSQvvYSYWXkFXC+IfLKSIffhv0sVZup6pA==",
+      "dev": true
+    },
     "node_modules/update-browserslist-db": {
       "version": "1.0.11",
       "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.0.11.tgz",
diff --git a/ecosystem-tests/node-ts-cjs-auto/tests/test.ts b/ecosystem-tests/node-ts-cjs-auto/tests/test.ts
index 84c99ee5a..203afba5a 100644
--- a/ecosystem-tests/node-ts-cjs-auto/tests/test.ts
+++ b/ecosystem-tests/node-ts-cjs-auto/tests/test.ts
@@ -257,3 +257,12 @@ describe('toFile', () => {
     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/package-lock.json b/ecosystem-tests/node-ts-cjs-web/package-lock.json
index cd721ae53..ff6fb3bac 100644
--- a/ecosystem-tests/node-ts-cjs-web/package-lock.json
+++ b/ecosystem-tests/node-ts-cjs-web/package-lock.json
@@ -1143,13 +1143,13 @@
       "dev": true
     },
     "node_modules/@types/node-fetch": {
-      "version": "2.6.4",
-      "resolved": "https://registry.npmjs.org/@types/node-fetch/-/node-fetch-2.6.4.tgz",
-      "integrity": "sha512-1ZX9fcN4Rvkvgv4E6PAY5WXUFWFcRWxZa3EW83UjycOB9ljJCedb2CupIP4RZMEwF/M3eTcCihbBRgwtGbg5Rg==",
+      "version": "2.6.11",
+      "resolved": "https://registry.npmjs.org/@types/node-fetch/-/node-fetch-2.6.11.tgz",
+      "integrity": "sha512-24xFj9R5+rfQJLRyM56qh+wnVSYhyXC2tkoBndtY0U+vubqNsYXGjufB2nn8Q6gt0LrARwL6UBtMCSVCwl4B1g==",
       "dev": true,
       "dependencies": {
         "@types/node": "*",
-        "form-data": "^3.0.0"
+        "form-data": "^4.0.0"
       }
     },
     "node_modules/@types/stack-utils": {
@@ -2082,9 +2082,9 @@
       }
     },
     "node_modules/form-data": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/form-data/-/form-data-3.0.1.tgz",
-      "integrity": "sha512-RHkBKtLWUVwd7SqRIvCZMEvAMoGUp0XU+seQiZejj0COz3RI3hWP4sCv3gZWWLjJTd7rGwcsF5eKZGii0r/hbg==",
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/form-data/-/form-data-4.0.0.tgz",
+      "integrity": "sha512-ETEklSGi5t0QMZuiXoA/Q6vcnxcLQP5vdugSpuAyi6SVGi2clPPp+xgEhuMaHC+zGgn31Kd235W35f7Hykkaww==",
       "dev": true,
       "dependencies": {
         "asynckit": "^0.4.0",
@@ -3208,20 +3208,6 @@
         }
       }
     },
-    "node_modules/jsdom/node_modules/form-data": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/form-data/-/form-data-4.0.0.tgz",
-      "integrity": "sha512-ETEklSGi5t0QMZuiXoA/Q6vcnxcLQP5vdugSpuAyi6SVGi2clPPp+xgEhuMaHC+zGgn31Kd235W35f7Hykkaww==",
-      "dev": true,
-      "dependencies": {
-        "asynckit": "^0.4.0",
-        "combined-stream": "^1.0.8",
-        "mime-types": "^2.1.12"
-      },
-      "engines": {
-        "node": ">= 6"
-      }
-    },
     "node_modules/jsdom/node_modules/tr46": {
       "version": "3.0.0",
       "resolved": "https://registry.npmjs.org/tr46/-/tr46-3.0.0.tgz",
@@ -4150,9 +4136,9 @@
       "integrity": "sha512-N3WMsuqV66lT30CrXNbEjx4GEwlow3v6rr4mCcv6prnfwhS01rkgyFdjPNBYd9br7LpXV1+Emh01fHnq2Gdgrw=="
     },
     "node_modules/ts-jest": {
-      "version": "29.1.1",
-      "resolved": "https://registry.npmjs.org/ts-jest/-/ts-jest-29.1.1.tgz",
-      "integrity": "sha512-D6xjnnbP17cC85nliwGiL+tpoKN0StpgE0TeOjXQTU6MVCfsB4v7aW05CgQ/1OywGb0x/oy9hHFnN+sczTiRaA==",
+      "version": "29.1.2",
+      "resolved": "https://registry.npmjs.org/ts-jest/-/ts-jest-29.1.2.tgz",
+      "integrity": "sha512-br6GJoH/WUX4pu7FbZXuWGKGNDuU7b8Uj77g/Sp7puZV6EXzuByl6JrECvm0MzVzSTkSHWTihsXt+5XYER5b+g==",
       "dev": true,
       "dependencies": {
         "bs-logger": "0.x",
@@ -4168,7 +4154,7 @@
         "ts-jest": "cli.js"
       },
       "engines": {
-        "node": "^14.15.0 || ^16.10.0 || >=18.0.0"
+        "node": "^16.10.0 || ^18.0.0 || >=20.0.0"
       },
       "peerDependencies": {
         "@babel/core": ">=7.0.0-beta.0 <8",
@@ -4205,9 +4191,9 @@
       }
     },
     "node_modules/ts-jest/node_modules/semver": {
-      "version": "7.5.4",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz",
-      "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==",
+      "version": "7.6.0",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.0.tgz",
+      "integrity": "sha512-EnwXhrlwXMk9gKu5/flx5sv/an57AkRplG3hTK68W7FRDN+k+OWBj65M7719OkA82XLBxrcX0KSHj+X5COhOVg==",
       "dev": true,
       "dependencies": {
         "lru-cache": "^6.0.0"
@@ -4391,9 +4377,9 @@
       }
     },
     "node_modules/whatwg-fetch": {
-      "version": "3.6.19",
-      "resolved": "https://registry.npmjs.org/whatwg-fetch/-/whatwg-fetch-3.6.19.tgz",
-      "integrity": "sha512-d67JP4dHSbm2TrpFj8AbO8DnL1JXL5J9u0Kq2xW6d0TFDbCA3Muhdt8orXC22utleTVj7Prqt82baN6RBvnEgw==",
+      "version": "3.6.20",
+      "resolved": "https://registry.npmjs.org/whatwg-fetch/-/whatwg-fetch-3.6.20.tgz",
+      "integrity": "sha512-EqhiFU6daOA8kpjOWTL0olhVOF3i7OrFzSYiGsEMB8GcXS+RrzauAERX65xMeNWVqxA6HXH2m69Z9LaKKdisfg==",
       "dev": true
     },
     "node_modules/whatwg-mimetype": {
diff --git a/ecosystem-tests/node-ts-cjs-web/tests/test-jsdom.ts b/ecosystem-tests/node-ts-cjs-web/tests/test-jsdom.ts
index adcb44858..e7b6be07d 100644
--- a/ecosystem-tests/node-ts-cjs-web/tests/test-jsdom.ts
+++ b/ecosystem-tests/node-ts-cjs-web/tests/test-jsdom.ts
@@ -164,3 +164,12 @@ describe.skip('toFile', () => {
     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
index 1784f8d5e..668e65332 100644
--- a/ecosystem-tests/node-ts-cjs-web/tests/test-node.ts
+++ b/ecosystem-tests/node-ts-cjs-web/tests/test-node.ts
@@ -151,3 +151,12 @@ describe('toFile', () => {
     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/package-lock.json b/ecosystem-tests/node-ts-cjs/package-lock.json
index f770cacac..2f5374e35 100644
--- a/ecosystem-tests/node-ts-cjs/package-lock.json
+++ b/ecosystem-tests/node-ts-cjs/package-lock.json
@@ -13,7 +13,7 @@
         "tsconfig-paths": "^4.0.0"
       },
       "devDependencies": {
-        "@types/node": "^20.4.2",
+        "@types/node": "20.4.2",
         "@types/node-fetch": "^2.6.1",
         "@types/ws": "^8.5.4",
         "fastest-levenshtein": "^1.0.16",
@@ -1135,19 +1135,19 @@
       }
     },
     "node_modules/@types/node": {
-      "version": "20.5.7",
-      "resolved": "https://registry.npmjs.org/@types/node/-/node-20.5.7.tgz",
-      "integrity": "sha512-dP7f3LdZIysZnmvP3ANJYTSwg+wLLl8p7RqniVlV7j+oXSXAbt9h0WIBFmJy5inWZoX9wZN6eXx+YXd9Rh3RBA==",
+      "version": "20.4.2",
+      "resolved": "https://registry.npmjs.org/@types/node/-/node-20.4.2.tgz",
+      "integrity": "sha512-Dd0BYtWgnWJKwO1jkmTrzofjK2QXXcai0dmtzvIBhcA+RsG5h8R3xlyta0kGOZRNfL9GuRtb1knmPEhQrePCEw==",
       "dev": true
     },
     "node_modules/@types/node-fetch": {
-      "version": "2.6.4",
-      "resolved": "https://registry.npmjs.org/@types/node-fetch/-/node-fetch-2.6.4.tgz",
-      "integrity": "sha512-1ZX9fcN4Rvkvgv4E6PAY5WXUFWFcRWxZa3EW83UjycOB9ljJCedb2CupIP4RZMEwF/M3eTcCihbBRgwtGbg5Rg==",
+      "version": "2.6.11",
+      "resolved": "https://registry.npmjs.org/@types/node-fetch/-/node-fetch-2.6.11.tgz",
+      "integrity": "sha512-24xFj9R5+rfQJLRyM56qh+wnVSYhyXC2tkoBndtY0U+vubqNsYXGjufB2nn8Q6gt0LrARwL6UBtMCSVCwl4B1g==",
       "dev": true,
       "dependencies": {
         "@types/node": "*",
-        "form-data": "^3.0.0"
+        "form-data": "^4.0.0"
       }
     },
     "node_modules/@types/stack-utils": {
@@ -1163,9 +1163,9 @@
       "dev": true
     },
     "node_modules/@types/ws": {
-      "version": "8.5.5",
-      "resolved": "https://registry.npmjs.org/@types/ws/-/ws-8.5.5.tgz",
-      "integrity": "sha512-lwhs8hktwxSjf9UaZ9tG5M03PGogvFaH8gUgLNbN9HKIg0dvv6q+gkSuJ8HN4/VbyxkuLzCjlN7GquQ0gUJfIg==",
+      "version": "8.5.10",
+      "resolved": "https://registry.npmjs.org/@types/ws/-/ws-8.5.10.tgz",
+      "integrity": "sha512-vmQSUcfalpIq0R9q7uTo2lXs6eGIpt9wtnLdMv9LVpIjCA/+ufZRozlVoVelIYixx1ugCBKDhn89vnsEGOCx9A==",
       "dev": true,
       "dependencies": {
         "@types/node": "*"
@@ -2066,9 +2066,9 @@
       }
     },
     "node_modules/form-data": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/form-data/-/form-data-3.0.1.tgz",
-      "integrity": "sha512-RHkBKtLWUVwd7SqRIvCZMEvAMoGUp0XU+seQiZejj0COz3RI3hWP4sCv3gZWWLjJTd7rGwcsF5eKZGii0r/hbg==",
+      "version": "4.0.0",
+      "resolved": "https://registry.npmjs.org/form-data/-/form-data-4.0.0.tgz",
+      "integrity": "sha512-ETEklSGi5t0QMZuiXoA/Q6vcnxcLQP5vdugSpuAyi6SVGi2clPPp+xgEhuMaHC+zGgn31Kd235W35f7Hykkaww==",
       "dev": true,
       "dependencies": {
         "asynckit": "^0.4.0",
@@ -3172,20 +3172,6 @@
         }
       }
     },
-    "node_modules/jsdom/node_modules/form-data": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmjs.org/form-data/-/form-data-4.0.0.tgz",
-      "integrity": "sha512-ETEklSGi5t0QMZuiXoA/Q6vcnxcLQP5vdugSpuAyi6SVGi2clPPp+xgEhuMaHC+zGgn31Kd235W35f7Hykkaww==",
-      "dev": true,
-      "dependencies": {
-        "asynckit": "^0.4.0",
-        "combined-stream": "^1.0.8",
-        "mime-types": "^2.1.12"
-      },
-      "engines": {
-        "node": ">= 6"
-      }
-    },
     "node_modules/jsdom/node_modules/tr46": {
       "version": "3.0.0",
       "resolved": "https://registry.npmjs.org/tr46/-/tr46-3.0.0.tgz",
@@ -4114,9 +4100,9 @@
       "integrity": "sha512-N3WMsuqV66lT30CrXNbEjx4GEwlow3v6rr4mCcv6prnfwhS01rkgyFdjPNBYd9br7LpXV1+Emh01fHnq2Gdgrw=="
     },
     "node_modules/ts-jest": {
-      "version": "29.1.1",
-      "resolved": "https://registry.npmjs.org/ts-jest/-/ts-jest-29.1.1.tgz",
-      "integrity": "sha512-D6xjnnbP17cC85nliwGiL+tpoKN0StpgE0TeOjXQTU6MVCfsB4v7aW05CgQ/1OywGb0x/oy9hHFnN+sczTiRaA==",
+      "version": "29.1.2",
+      "resolved": "https://registry.npmjs.org/ts-jest/-/ts-jest-29.1.2.tgz",
+      "integrity": "sha512-br6GJoH/WUX4pu7FbZXuWGKGNDuU7b8Uj77g/Sp7puZV6EXzuByl6JrECvm0MzVzSTkSHWTihsXt+5XYER5b+g==",
       "dev": true,
       "dependencies": {
         "bs-logger": "0.x",
@@ -4132,7 +4118,7 @@
         "ts-jest": "cli.js"
       },
       "engines": {
-        "node": "^14.15.0 || ^16.10.0 || >=18.0.0"
+        "node": "^16.10.0 || ^18.0.0 || >=20.0.0"
       },
       "peerDependencies": {
         "@babel/core": ">=7.0.0-beta.0 <8",
@@ -4169,9 +4155,9 @@
       }
     },
     "node_modules/ts-jest/node_modules/semver": {
-      "version": "7.5.4",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz",
-      "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==",
+      "version": "7.6.0",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.0.tgz",
+      "integrity": "sha512-EnwXhrlwXMk9gKu5/flx5sv/an57AkRplG3hTK68W7FRDN+k+OWBj65M7719OkA82XLBxrcX0KSHj+X5COhOVg==",
       "dev": true,
       "dependencies": {
         "lru-cache": "^6.0.0"
diff --git a/ecosystem-tests/node-ts-cjs/package.json b/ecosystem-tests/node-ts-cjs/package.json
index 76f866b0b..039b37a3d 100644
--- a/ecosystem-tests/node-ts-cjs/package.json
+++ b/ecosystem-tests/node-ts-cjs/package.json
@@ -13,7 +13,7 @@
     "tsconfig-paths": "^4.0.0"
   },
   "devDependencies": {
-    "@types/node": "^20.4.2",
+    "@types/node": "20.4.2",
     "@types/node-fetch": "^2.6.1",
     "@types/ws": "^8.5.4",
     "fastest-levenshtein": "^1.0.16",
@@ -22,5 +22,8 @@
     "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/tests/test-jsdom.ts b/ecosystem-tests/node-ts-cjs/tests/test-jsdom.ts
index 9908e45f8..15b9df7c9 100644
--- a/ecosystem-tests/node-ts-cjs/tests/test-jsdom.ts
+++ b/ecosystem-tests/node-ts-cjs/tests/test-jsdom.ts
@@ -144,3 +144,12 @@ describe.skip('toFile', () => {
     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
index 5ece57019..3f6e5d572 100644
--- a/ecosystem-tests/node-ts-cjs/tests/test-node.ts
+++ b/ecosystem-tests/node-ts-cjs/tests/test-node.ts
@@ -192,3 +192,12 @@ describe('toFile', () => {
     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-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 a/ecosystem-tests/node-ts-es2020/package-lock.json b/ecosystem-tests/node-ts-es2020/package-lock.json
new file mode 100644
index 000000000..5ae1d5aa0
--- /dev/null
+++ b/ecosystem-tests/node-ts-es2020/package-lock.json
@@ -0,0 +1,193 @@
+{
+  "name": "node-ts-es2020",
+  "version": "1.0.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "node-ts-es2020",
+      "version": "1.0.0",
+      "dependencies": {
+        "ts-node": "^10.9.2",
+        "zod": "^3.23.8"
+      }
+    },
+    "node_modules/@cspotcode/source-map-support": {
+      "version": "0.8.1",
+      "resolved": "https://registry.npmjs.org/@cspotcode/source-map-support/-/source-map-support-0.8.1.tgz",
+      "integrity": "sha512-IchNf6dN4tHoMFIn/7OE8LWZ19Y6q/67Bmf6vnGREv8RSbBVb9LPJxEcnwrcwX6ixSvaiGoomAUvu4YSxXrVgw==",
+      "dependencies": {
+        "@jridgewell/trace-mapping": "0.3.9"
+      },
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@cspotcode/source-map-support/node_modules/@jridgewell/trace-mapping": {
+      "version": "0.3.9",
+      "resolved": "https://registry.npmjs.org/@jridgewell/trace-mapping/-/trace-mapping-0.3.9.tgz",
+      "integrity": "sha512-3Belt6tdc8bPgAtbcmdtNJlirVoTmEb5e2gC94PnkwEW9jI6CAHUeoG85tjWP5WquqfavoMtMwiG4P926ZKKuQ==",
+      "dependencies": {
+        "@jridgewell/resolve-uri": "^3.0.3",
+        "@jridgewell/sourcemap-codec": "^1.4.10"
+      }
+    },
+    "node_modules/@jridgewell/resolve-uri": {
+      "version": "3.1.1",
+      "resolved": "https://registry.npmjs.org/@jridgewell/resolve-uri/-/resolve-uri-3.1.1.tgz",
+      "integrity": "sha512-dSYZh7HhCDtCKm4QakX0xFpsRDqjjtZf/kjI/v3T3Nwt5r8/qz/M19F9ySyOqU94SXBmeG9ttTul+YnR4LOxFA==",
+      "engines": {
+        "node": ">=6.0.0"
+      }
+    },
+    "node_modules/@jridgewell/sourcemap-codec": {
+      "version": "1.4.15",
+      "resolved": "https://registry.npmjs.org/@jridgewell/sourcemap-codec/-/sourcemap-codec-1.4.15.tgz",
+      "integrity": "sha512-eF2rxCRulEKXHTRiDrDy6erMYWqNw4LPdQ8UQA4huuxaQsVeRPFl2oM8oDGxMFhJUWZf9McpLtJasDDZb/Bpeg=="
+    },
+    "node_modules/@tsconfig/node10": {
+      "version": "1.0.11",
+      "resolved": "https://registry.npmjs.org/@tsconfig/node10/-/node10-1.0.11.tgz",
+      "integrity": "sha512-DcRjDCujK/kCk/cUe8Xz8ZSpm8mS3mNNpta+jGCA6USEDfktlNvm1+IuZ9eTcDbNk41BHwpHHeW+N1lKCz4zOw=="
+    },
+    "node_modules/@tsconfig/node12": {
+      "version": "1.0.11",
+      "resolved": "https://registry.npmjs.org/@tsconfig/node12/-/node12-1.0.11.tgz",
+      "integrity": "sha512-cqefuRsh12pWyGsIoBKJA9luFu3mRxCA+ORZvA4ktLSzIuCUtWVxGIuXigEwO5/ywWFMZ2QEGKWvkZG1zDMTag=="
+    },
+    "node_modules/@tsconfig/node14": {
+      "version": "1.0.3",
+      "resolved": "https://registry.npmjs.org/@tsconfig/node14/-/node14-1.0.3.tgz",
+      "integrity": "sha512-ysT8mhdixWK6Hw3i1V2AeRqZ5WfXg1G43mqoYlM2nc6388Fq5jcXyr5mRsqViLx/GJYdoL0bfXD8nmF+Zn/Iow=="
+    },
+    "node_modules/@tsconfig/node16": {
+      "version": "1.0.4",
+      "resolved": "https://registry.npmjs.org/@tsconfig/node16/-/node16-1.0.4.tgz",
+      "integrity": "sha512-vxhUy4J8lyeyinH7Azl1pdd43GJhZH/tP2weN8TntQblOY+A0XbT8DJk1/oCPuOOyg/Ja757rG0CgHcWC8OfMA=="
+    },
+    "node_modules/@types/node": {
+      "version": "20.4.2",
+      "resolved": "https://registry.npmjs.org/@types/node/-/node-20.4.2.tgz",
+      "integrity": "sha512-Dd0BYtWgnWJKwO1jkmTrzofjK2QXXcai0dmtzvIBhcA+RsG5h8R3xlyta0kGOZRNfL9GuRtb1knmPEhQrePCEw==",
+      "peer": true
+    },
+    "node_modules/acorn": {
+      "version": "8.10.0",
+      "resolved": "https://registry.npmjs.org/acorn/-/acorn-8.10.0.tgz",
+      "integrity": "sha512-F0SAmZ8iUtS//m8DmCTA0jlh6TDKkHQyK6xc6V4KDTyZKA9dnvX9/3sRTVQrWm79glUAZbnmmNcdYwUIHWVybw==",
+      "bin": {
+        "acorn": "bin/acorn"
+      },
+      "engines": {
+        "node": ">=0.4.0"
+      }
+    },
+    "node_modules/acorn-walk": {
+      "version": "8.2.0",
+      "resolved": "https://registry.npmjs.org/acorn-walk/-/acorn-walk-8.2.0.tgz",
+      "integrity": "sha512-k+iyHEuPgSw6SbuDpGQM+06HQUa04DZ3o+F6CSzXMvvI5KMvnaEqXe+YVe555R9nn6GPt404fos4wcgpw12SDA==",
+      "engines": {
+        "node": ">=0.4.0"
+      }
+    },
+    "node_modules/arg": {
+      "version": "4.1.3",
+      "resolved": "https://registry.npmjs.org/arg/-/arg-4.1.3.tgz",
+      "integrity": "sha512-58S9QDqG0Xx27YwPSt9fJxivjYl432YCwfDMfZ+71RAqUrZef7LrKQZ3LHLOwCS4FLNBplP533Zx895SeOCHvA=="
+    },
+    "node_modules/create-require": {
+      "version": "1.1.1",
+      "resolved": "https://registry.npmjs.org/create-require/-/create-require-1.1.1.tgz",
+      "integrity": "sha512-dcKFX3jn0MpIaXjisoRvexIJVEKzaq7z2rZKxf+MSr9TkdmHmsU4m2lcLojrj/FHl8mk5VxMmYA+ftRkP/3oKQ=="
+    },
+    "node_modules/diff": {
+      "version": "4.0.2",
+      "resolved": "https://registry.npmjs.org/diff/-/diff-4.0.2.tgz",
+      "integrity": "sha512-58lmxKSA4BNyLz+HHMUzlOEpg09FV+ev6ZMe3vJihgdxzgcwZ8VoEEPmALCZG9LmqfVoNMMKpttIYTVG6uDY7A==",
+      "engines": {
+        "node": ">=0.3.1"
+      }
+    },
+    "node_modules/make-error": {
+      "version": "1.3.6",
+      "resolved": "https://registry.npmjs.org/make-error/-/make-error-1.3.6.tgz",
+      "integrity": "sha512-s8UhlNe7vPKomQhC1qFelMokr/Sc3AgNbso3n74mVPA5LTZwkB9NlXf4XPamLxJE8h0gh73rM94xvwRT2CVInw=="
+    },
+    "node_modules/ts-node": {
+      "version": "10.9.2",
+      "resolved": "https://registry.npmjs.org/ts-node/-/ts-node-10.9.2.tgz",
+      "integrity": "sha512-f0FFpIdcHgn8zcPSbf1dRevwt047YMnaiJM3u2w2RewrB+fob/zePZcrOyQoLMMO7aBIddLcQIEK5dYjkLnGrQ==",
+      "dependencies": {
+        "@cspotcode/source-map-support": "^0.8.0",
+        "@tsconfig/node10": "^1.0.7",
+        "@tsconfig/node12": "^1.0.7",
+        "@tsconfig/node14": "^1.0.0",
+        "@tsconfig/node16": "^1.0.2",
+        "acorn": "^8.4.1",
+        "acorn-walk": "^8.1.1",
+        "arg": "^4.1.0",
+        "create-require": "^1.1.0",
+        "diff": "^4.0.1",
+        "make-error": "^1.1.1",
+        "v8-compile-cache-lib": "^3.0.1",
+        "yn": "3.1.1"
+      },
+      "bin": {
+        "ts-node": "dist/bin.js",
+        "ts-node-cwd": "dist/bin-cwd.js",
+        "ts-node-esm": "dist/bin-esm.js",
+        "ts-node-script": "dist/bin-script.js",
+        "ts-node-transpile-only": "dist/bin-transpile.js",
+        "ts-script": "dist/bin-script-deprecated.js"
+      },
+      "peerDependencies": {
+        "@swc/core": ">=1.2.50",
+        "@swc/wasm": ">=1.2.50",
+        "@types/node": "*",
+        "typescript": ">=2.7"
+      },
+      "peerDependenciesMeta": {
+        "@swc/core": {
+          "optional": true
+        },
+        "@swc/wasm": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/typescript": {
+      "version": "4.7.4",
+      "resolved": "https://registry.npmjs.org/typescript/-/typescript-4.7.4.tgz",
+      "integrity": "sha512-C0WQT0gezHuw6AdY1M2jxUO83Rjf0HP7Sk1DtXj6j1EwkQNZrHAg2XPWlq62oqEhYvONq5pkC2Y9oPljWToLmQ==",
+      "peer": true,
+      "bin": {
+        "tsc": "bin/tsc",
+        "tsserver": "bin/tsserver"
+      },
+      "engines": {
+        "node": ">=4.2.0"
+      }
+    },
+    "node_modules/v8-compile-cache-lib": {
+      "version": "3.0.1",
+      "resolved": "https://registry.npmjs.org/v8-compile-cache-lib/-/v8-compile-cache-lib-3.0.1.tgz",
+      "integrity": "sha512-wa7YjyUGfNZngI/vtK0UHAN+lgDCxBPCylVXGp0zu59Fz5aiGtNXaq3DhIov063MorB+VfufLh3JlF2KdTK3xg=="
+    },
+    "node_modules/yn": {
+      "version": "3.1.1",
+      "resolved": "https://registry.npmjs.org/yn/-/yn-3.1.1.tgz",
+      "integrity": "sha512-Ux4ygGWsu2c7isFWe8Yu1YluJmqVhxqK2cLXNQA5AcC3QfbGNpM7fu0Y8b/z16pXLnFxZYvWhd3fhBY9DLmC6Q==",
+      "engines": {
+        "node": ">=6"
+      }
+    },
+    "node_modules/zod": {
+      "version": "3.23.8",
+      "resolved": "https://registry.npmjs.org/zod/-/zod-3.23.8.tgz",
+      "integrity": "sha512-XBx9AXhXktjUqnepgTiE5flcKIYWi/rme0Eaj+5Y0lftuGBq+jyRu/md4WnuxqgP1ubdpNCsYEYPxrzVHD8d6g==",
+      "funding": {
+        "url": "https://github.com/sponsors/colinhacks"
+      }
+    }
+  }
+}
diff --git a/ecosystem-tests/node-ts-es2020/package.json b/ecosystem-tests/node-ts-es2020/package.json
new file mode 100644
index 000000000..ea7e488f5
--- /dev/null
+++ b/ecosystem-tests/node-ts-es2020/package.json
@@ -0,0 +1,16 @@
+{
+  "name": "node-ts-es2020",
+  "version": "1.0.0",
+  "main": "index.js",
+  "scripts": {
+    "tsc": "tsc && tsc -p tsconfig.nodenext.json && tsc -p node_modules/openai/src/tsconfig.json",
+    "main": "ts-node index.ts"
+  },
+  "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/package-lock.json b/ecosystem-tests/node-ts-esm-auto/package-lock.json
index 1123560d4..3e4438d05 100644
--- a/ecosystem-tests/node-ts-esm-auto/package-lock.json
+++ b/ecosystem-tests/node-ts-esm-auto/package-lock.json
@@ -1157,10 +1157,13 @@
       }
     },
     "node_modules/@types/node": {
-      "version": "20.5.7",
-      "resolved": "https://registry.npmjs.org/@types/node/-/node-20.5.7.tgz",
-      "integrity": "sha512-dP7f3LdZIysZnmvP3ANJYTSwg+wLLl8p7RqniVlV7j+oXSXAbt9h0WIBFmJy5inWZoX9wZN6eXx+YXd9Rh3RBA==",
-      "dev": true
+      "version": "20.11.30",
+      "resolved": "https://registry.npmjs.org/@types/node/-/node-20.11.30.tgz",
+      "integrity": "sha512-dHM6ZxwlmuZaRmUPfv1p+KrdD1Dci04FbdEm/9wEMouFqxYoFl5aMkt0VMAUtYRQDyYvD41WJLukhq/ha3YuTw==",
+      "dev": true,
+      "dependencies": {
+        "undici-types": "~5.26.4"
+      }
     },
     "node_modules/@types/stack-utils": {
       "version": "2.0.3",
@@ -3660,9 +3663,9 @@
       }
     },
     "node_modules/ts-jest": {
-      "version": "29.1.1",
-      "resolved": "https://registry.npmjs.org/ts-jest/-/ts-jest-29.1.1.tgz",
-      "integrity": "sha512-D6xjnnbP17cC85nliwGiL+tpoKN0StpgE0TeOjXQTU6MVCfsB4v7aW05CgQ/1OywGb0x/oy9hHFnN+sczTiRaA==",
+      "version": "29.1.2",
+      "resolved": "https://registry.npmjs.org/ts-jest/-/ts-jest-29.1.2.tgz",
+      "integrity": "sha512-br6GJoH/WUX4pu7FbZXuWGKGNDuU7b8Uj77g/Sp7puZV6EXzuByl6JrECvm0MzVzSTkSHWTihsXt+5XYER5b+g==",
       "dev": true,
       "dependencies": {
         "bs-logger": "0.x",
@@ -3678,7 +3681,7 @@
         "ts-jest": "cli.js"
       },
       "engines": {
-        "node": "^14.15.0 || ^16.10.0 || >=18.0.0"
+        "node": "^16.10.0 || ^18.0.0 || >=20.0.0"
       },
       "peerDependencies": {
         "@babel/core": ">=7.0.0-beta.0 <8",
@@ -3715,9 +3718,9 @@
       }
     },
     "node_modules/ts-jest/node_modules/semver": {
-      "version": "7.5.4",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz",
-      "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==",
+      "version": "7.6.0",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.0.tgz",
+      "integrity": "sha512-EnwXhrlwXMk9gKu5/flx5sv/an57AkRplG3hTK68W7FRDN+k+OWBj65M7719OkA82XLBxrcX0KSHj+X5COhOVg==",
       "dev": true,
       "dependencies": {
         "lru-cache": "^6.0.0"
@@ -3736,9 +3739,9 @@
       "dev": true
     },
     "node_modules/ts-node": {
-      "version": "10.9.1",
-      "resolved": "https://registry.npmjs.org/ts-node/-/ts-node-10.9.1.tgz",
-      "integrity": "sha512-NtVysVPkxxrwFGUUxGYhfux8k78pQB3JqYBXlLRZgdGUqTO5wU/UyHop5p70iEbGhB7q5KmiZiU0Y3KlJrScEw==",
+      "version": "10.9.2",
+      "resolved": "https://registry.npmjs.org/ts-node/-/ts-node-10.9.2.tgz",
+      "integrity": "sha512-f0FFpIdcHgn8zcPSbf1dRevwt047YMnaiJM3u2w2RewrB+fob/zePZcrOyQoLMMO7aBIddLcQIEK5dYjkLnGrQ==",
       "dev": true,
       "dependencies": {
         "@cspotcode/source-map-support": "^0.8.0",
@@ -3812,6 +3815,12 @@
         "node": ">=4.2.0"
       }
     },
+    "node_modules/undici-types": {
+      "version": "5.26.5",
+      "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-5.26.5.tgz",
+      "integrity": "sha512-JlCMO+ehdEIKqlFxk6IfVoAUVmgz7cU7zD/h9XZ0qzeosSHmUJVOzSQvvYSYWXkFXC+IfLKSIffhv0sVZup6pA==",
+      "dev": true
+    },
     "node_modules/update-browserslist-db": {
       "version": "1.0.11",
       "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.0.11.tgz",
diff --git a/ecosystem-tests/node-ts-esm-auto/tests/test.ts b/ecosystem-tests/node-ts-esm-auto/tests/test.ts
index d28bc2b37..88beb2f54 100644
--- a/ecosystem-tests/node-ts-esm-auto/tests/test.ts
+++ b/ecosystem-tests/node-ts-esm-auto/tests/test.ts
@@ -194,3 +194,12 @@ describe('toFile', () => {
     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/package-lock.json b/ecosystem-tests/node-ts-esm-web/package-lock.json
index a2b14d348..118bf0909 100644
--- a/ecosystem-tests/node-ts-esm-web/package-lock.json
+++ b/ecosystem-tests/node-ts-esm-web/package-lock.json
@@ -1157,10 +1157,13 @@
       }
     },
     "node_modules/@types/node": {
-      "version": "20.5.7",
-      "resolved": "https://registry.npmjs.org/@types/node/-/node-20.5.7.tgz",
-      "integrity": "sha512-dP7f3LdZIysZnmvP3ANJYTSwg+wLLl8p7RqniVlV7j+oXSXAbt9h0WIBFmJy5inWZoX9wZN6eXx+YXd9Rh3RBA==",
-      "dev": true
+      "version": "20.11.30",
+      "resolved": "https://registry.npmjs.org/@types/node/-/node-20.11.30.tgz",
+      "integrity": "sha512-dHM6ZxwlmuZaRmUPfv1p+KrdD1Dci04FbdEm/9wEMouFqxYoFl5aMkt0VMAUtYRQDyYvD41WJLukhq/ha3YuTw==",
+      "dev": true,
+      "dependencies": {
+        "undici-types": "~5.26.4"
+      }
     },
     "node_modules/@types/stack-utils": {
       "version": "2.0.3",
@@ -3660,9 +3663,9 @@
       }
     },
     "node_modules/ts-jest": {
-      "version": "29.1.1",
-      "resolved": "https://registry.npmjs.org/ts-jest/-/ts-jest-29.1.1.tgz",
-      "integrity": "sha512-D6xjnnbP17cC85nliwGiL+tpoKN0StpgE0TeOjXQTU6MVCfsB4v7aW05CgQ/1OywGb0x/oy9hHFnN+sczTiRaA==",
+      "version": "29.1.2",
+      "resolved": "https://registry.npmjs.org/ts-jest/-/ts-jest-29.1.2.tgz",
+      "integrity": "sha512-br6GJoH/WUX4pu7FbZXuWGKGNDuU7b8Uj77g/Sp7puZV6EXzuByl6JrECvm0MzVzSTkSHWTihsXt+5XYER5b+g==",
       "dev": true,
       "dependencies": {
         "bs-logger": "0.x",
@@ -3678,7 +3681,7 @@
         "ts-jest": "cli.js"
       },
       "engines": {
-        "node": "^14.15.0 || ^16.10.0 || >=18.0.0"
+        "node": "^16.10.0 || ^18.0.0 || >=20.0.0"
       },
       "peerDependencies": {
         "@babel/core": ">=7.0.0-beta.0 <8",
@@ -3715,9 +3718,9 @@
       }
     },
     "node_modules/ts-jest/node_modules/semver": {
-      "version": "7.5.4",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz",
-      "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==",
+      "version": "7.6.0",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.0.tgz",
+      "integrity": "sha512-EnwXhrlwXMk9gKu5/flx5sv/an57AkRplG3hTK68W7FRDN+k+OWBj65M7719OkA82XLBxrcX0KSHj+X5COhOVg==",
       "dev": true,
       "dependencies": {
         "lru-cache": "^6.0.0"
@@ -3736,9 +3739,9 @@
       "dev": true
     },
     "node_modules/ts-node": {
-      "version": "10.9.1",
-      "resolved": "https://registry.npmjs.org/ts-node/-/ts-node-10.9.1.tgz",
-      "integrity": "sha512-NtVysVPkxxrwFGUUxGYhfux8k78pQB3JqYBXlLRZgdGUqTO5wU/UyHop5p70iEbGhB7q5KmiZiU0Y3KlJrScEw==",
+      "version": "10.9.2",
+      "resolved": "https://registry.npmjs.org/ts-node/-/ts-node-10.9.2.tgz",
+      "integrity": "sha512-f0FFpIdcHgn8zcPSbf1dRevwt047YMnaiJM3u2w2RewrB+fob/zePZcrOyQoLMMO7aBIddLcQIEK5dYjkLnGrQ==",
       "dev": true,
       "dependencies": {
         "@cspotcode/source-map-support": "^0.8.0",
@@ -3812,6 +3815,12 @@
         "node": ">=4.2.0"
       }
     },
+    "node_modules/undici-types": {
+      "version": "5.26.5",
+      "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-5.26.5.tgz",
+      "integrity": "sha512-JlCMO+ehdEIKqlFxk6IfVoAUVmgz7cU7zD/h9XZ0qzeosSHmUJVOzSQvvYSYWXkFXC+IfLKSIffhv0sVZup6pA==",
+      "dev": true
+    },
     "node_modules/update-browserslist-db": {
       "version": "1.0.11",
       "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.0.11.tgz",
diff --git a/ecosystem-tests/node-ts-esm-web/tests/test.ts b/ecosystem-tests/node-ts-esm-web/tests/test.ts
index e0055c89f..675fb9a73 100644
--- a/ecosystem-tests/node-ts-esm-web/tests/test.ts
+++ b/ecosystem-tests/node-ts-esm-web/tests/test.ts
@@ -152,3 +152,12 @@ describe('toFile', () => {
     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/package-lock.json b/ecosystem-tests/node-ts-esm/package-lock.json
index 480a700fe..cb5b8eaa8 100644
--- a/ecosystem-tests/node-ts-esm/package-lock.json
+++ b/ecosystem-tests/node-ts-esm/package-lock.json
@@ -1157,10 +1157,13 @@
       }
     },
     "node_modules/@types/node": {
-      "version": "20.5.7",
-      "resolved": "https://registry.npmjs.org/@types/node/-/node-20.5.7.tgz",
-      "integrity": "sha512-dP7f3LdZIysZnmvP3ANJYTSwg+wLLl8p7RqniVlV7j+oXSXAbt9h0WIBFmJy5inWZoX9wZN6eXx+YXd9Rh3RBA==",
-      "dev": true
+      "version": "20.11.30",
+      "resolved": "https://registry.npmjs.org/@types/node/-/node-20.11.30.tgz",
+      "integrity": "sha512-dHM6ZxwlmuZaRmUPfv1p+KrdD1Dci04FbdEm/9wEMouFqxYoFl5aMkt0VMAUtYRQDyYvD41WJLukhq/ha3YuTw==",
+      "dev": true,
+      "dependencies": {
+        "undici-types": "~5.26.4"
+      }
     },
     "node_modules/@types/stack-utils": {
       "version": "2.0.3",
@@ -3660,9 +3663,9 @@
       }
     },
     "node_modules/ts-jest": {
-      "version": "29.1.1",
-      "resolved": "https://registry.npmjs.org/ts-jest/-/ts-jest-29.1.1.tgz",
-      "integrity": "sha512-D6xjnnbP17cC85nliwGiL+tpoKN0StpgE0TeOjXQTU6MVCfsB4v7aW05CgQ/1OywGb0x/oy9hHFnN+sczTiRaA==",
+      "version": "29.1.2",
+      "resolved": "https://registry.npmjs.org/ts-jest/-/ts-jest-29.1.2.tgz",
+      "integrity": "sha512-br6GJoH/WUX4pu7FbZXuWGKGNDuU7b8Uj77g/Sp7puZV6EXzuByl6JrECvm0MzVzSTkSHWTihsXt+5XYER5b+g==",
       "dev": true,
       "dependencies": {
         "bs-logger": "0.x",
@@ -3678,7 +3681,7 @@
         "ts-jest": "cli.js"
       },
       "engines": {
-        "node": "^14.15.0 || ^16.10.0 || >=18.0.0"
+        "node": "^16.10.0 || ^18.0.0 || >=20.0.0"
       },
       "peerDependencies": {
         "@babel/core": ">=7.0.0-beta.0 <8",
@@ -3715,9 +3718,9 @@
       }
     },
     "node_modules/ts-jest/node_modules/semver": {
-      "version": "7.5.4",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz",
-      "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==",
+      "version": "7.6.0",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.0.tgz",
+      "integrity": "sha512-EnwXhrlwXMk9gKu5/flx5sv/an57AkRplG3hTK68W7FRDN+k+OWBj65M7719OkA82XLBxrcX0KSHj+X5COhOVg==",
       "dev": true,
       "dependencies": {
         "lru-cache": "^6.0.0"
@@ -3736,9 +3739,9 @@
       "dev": true
     },
     "node_modules/ts-node": {
-      "version": "10.9.1",
-      "resolved": "https://registry.npmjs.org/ts-node/-/ts-node-10.9.1.tgz",
-      "integrity": "sha512-NtVysVPkxxrwFGUUxGYhfux8k78pQB3JqYBXlLRZgdGUqTO5wU/UyHop5p70iEbGhB7q5KmiZiU0Y3KlJrScEw==",
+      "version": "10.9.2",
+      "resolved": "https://registry.npmjs.org/ts-node/-/ts-node-10.9.2.tgz",
+      "integrity": "sha512-f0FFpIdcHgn8zcPSbf1dRevwt047YMnaiJM3u2w2RewrB+fob/zePZcrOyQoLMMO7aBIddLcQIEK5dYjkLnGrQ==",
       "dev": true,
       "dependencies": {
         "@cspotcode/source-map-support": "^0.8.0",
@@ -3812,6 +3815,12 @@
         "node": ">=4.2.0"
       }
     },
+    "node_modules/undici-types": {
+      "version": "5.26.5",
+      "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-5.26.5.tgz",
+      "integrity": "sha512-JlCMO+ehdEIKqlFxk6IfVoAUVmgz7cU7zD/h9XZ0qzeosSHmUJVOzSQvvYSYWXkFXC+IfLKSIffhv0sVZup6pA==",
+      "dev": true
+    },
     "node_modules/update-browserslist-db": {
       "version": "1.0.11",
       "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.0.11.tgz",
diff --git a/ecosystem-tests/node-ts-esm/tests/test-esnext.ts b/ecosystem-tests/node-ts-esm/tests/test-esnext.ts
index d3b77971e..05cdd1047 100644
--- a/ecosystem-tests/node-ts-esm/tests/test-esnext.ts
+++ b/ecosystem-tests/node-ts-esm/tests/test-esnext.ts
@@ -64,3 +64,12 @@ it(`raw response`, async function () {
   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
index 906220e95..7694a9874 100644
--- a/ecosystem-tests/node-ts-esm/tests/test.ts
+++ b/ecosystem-tests/node-ts-esm/tests/test.ts
@@ -173,3 +173,12 @@ describe('toFile', () => {
     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/package-lock.json b/ecosystem-tests/node-ts4.5-jest27/package-lock.json
index 682b0f7a6..bedd114f8 100644
--- a/ecosystem-tests/node-ts4.5-jest27/package-lock.json
+++ b/ecosystem-tests/node-ts4.5-jest27/package-lock.json
@@ -14,13 +14,13 @@
       },
       "devDependencies": {
         "@types/jest": "27.5.2",
-        "@types/node": "^20.4.2",
+        "@types/node": "20.11.20",
         "@types/node-fetch": "^2.6.1",
         "@types/ws": "^8.5.4",
         "fastest-levenshtein": "^1.0.16",
         "jest": "27.5.1",
         "ts-jest": "27.1.5",
-        "typescript": "4.5.4"
+        "typescript": "4.5.5"
       }
     },
     "node_modules/@ampproject/remapping": {
@@ -1068,15 +1068,18 @@
       }
     },
     "node_modules/@types/node": {
-      "version": "20.6.0",
-      "resolved": "https://registry.npmjs.org/@types/node/-/node-20.6.0.tgz",
-      "integrity": "sha512-najjVq5KN2vsH2U/xyh2opaSEz6cZMR2SetLIlxlj08nOcmPOemJmUK2o4kUzfLqfrWE0PIrNeE16XhYDd3nqg==",
-      "dev": true
+      "version": "20.11.20",
+      "resolved": "https://registry.npmjs.org/@types/node/-/node-20.11.20.tgz",
+      "integrity": "sha512-7/rR21OS+fq8IyHTgtLkDK949uzsa6n8BkziAKtPVpugIkO6D+/ooXMvzXxDnZrmtXVfjb1bKQafYpb8s89LOg==",
+      "dev": true,
+      "dependencies": {
+        "undici-types": "~5.26.4"
+      }
     },
     "node_modules/@types/node-fetch": {
-      "version": "2.6.5",
-      "resolved": "https://registry.npmjs.org/@types/node-fetch/-/node-fetch-2.6.5.tgz",
-      "integrity": "sha512-OZsUlr2nxvkqUFLSaY2ZbA+P1q22q+KrlxWOn/38RX+u5kTkYL2mTujEpzUhGkS+K/QCYp9oagfXG39XOzyySg==",
+      "version": "2.6.11",
+      "resolved": "https://registry.npmjs.org/@types/node-fetch/-/node-fetch-2.6.11.tgz",
+      "integrity": "sha512-24xFj9R5+rfQJLRyM56qh+wnVSYhyXC2tkoBndtY0U+vubqNsYXGjufB2nn8Q6gt0LrARwL6UBtMCSVCwl4B1g==",
       "dev": true,
       "dependencies": {
         "@types/node": "*",
@@ -1096,9 +1099,9 @@
       "dev": true
     },
     "node_modules/@types/ws": {
-      "version": "8.5.5",
-      "resolved": "https://registry.npmjs.org/@types/ws/-/ws-8.5.5.tgz",
-      "integrity": "sha512-lwhs8hktwxSjf9UaZ9tG5M03PGogvFaH8gUgLNbN9HKIg0dvv6q+gkSuJ8HN4/VbyxkuLzCjlN7GquQ0gUJfIg==",
+      "version": "8.5.10",
+      "resolved": "https://registry.npmjs.org/@types/ws/-/ws-8.5.10.tgz",
+      "integrity": "sha512-vmQSUcfalpIq0R9q7uTo2lXs6eGIpt9wtnLdMv9LVpIjCA/+ufZRozlVoVelIYixx1ugCBKDhn89vnsEGOCx9A==",
       "dev": true,
       "dependencies": {
         "@types/node": "*"
@@ -4105,9 +4108,9 @@
       }
     },
     "node_modules/typescript": {
-      "version": "4.5.4",
-      "resolved": "https://registry.npmjs.org/typescript/-/typescript-4.5.4.tgz",
-      "integrity": "sha512-VgYs2A2QIRuGphtzFV7aQJduJ2gyfTljngLzjpfW9FoYZF6xuw1W0vW9ghCKLfcWrCFxK81CSGRAvS1pn4fIUg==",
+      "version": "4.5.5",
+      "resolved": "https://registry.npmjs.org/typescript/-/typescript-4.5.5.tgz",
+      "integrity": "sha512-TCTIul70LyWe6IJWT8QSYeA54WQe8EjQFU4wY52Fasj5UKx88LNYKCgBEHcOMOrFF1rKGbD8v/xcNWVUq9SymA==",
       "dev": true,
       "bin": {
         "tsc": "bin/tsc",
@@ -4117,6 +4120,12 @@
         "node": ">=4.2.0"
       }
     },
+    "node_modules/undici-types": {
+      "version": "5.26.5",
+      "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-5.26.5.tgz",
+      "integrity": "sha512-JlCMO+ehdEIKqlFxk6IfVoAUVmgz7cU7zD/h9XZ0qzeosSHmUJVOzSQvvYSYWXkFXC+IfLKSIffhv0sVZup6pA==",
+      "dev": true
+    },
     "node_modules/universalify": {
       "version": "0.2.0",
       "resolved": "https://registry.npmjs.org/universalify/-/universalify-0.2.0.tgz",
diff --git a/ecosystem-tests/node-ts4.5-jest27/package.json b/ecosystem-tests/node-ts4.5-jest27/package.json
index 1740acae8..ae76bcc9c 100644
--- a/ecosystem-tests/node-ts4.5-jest27/package.json
+++ b/ecosystem-tests/node-ts4.5-jest27/package.json
@@ -13,13 +13,13 @@
     "tsconfig-paths": "^4.0.0"
   },
   "devDependencies": {
-    "@types/node": "^20.4.2",
+    "@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": "4.5.4"
+    "typescript": "4.5.5"
   }
 }
diff --git a/ecosystem-tests/node-ts4.5-jest27/tests/test.ts b/ecosystem-tests/node-ts4.5-jest27/tests/test.ts
index 5ece57019..3f6e5d572 100644
--- a/ecosystem-tests/node-ts4.5-jest27/tests/test.ts
+++ b/ecosystem-tests/node-ts4.5-jest27/tests/test.ts
@@ -192,3 +192,12 @@ describe('toFile', () => {
     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/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": {
+        "typescript": "^5.5.4"
+      }
+    },
+    "node_modules/@esbuild/aix-ppc64": {
+      "version": "0.23.1",
+      "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.23.1.tgz",
+      "integrity": "sha512-6VhYk1diRqrhBAqpJEdjASR/+WVRtfjpqKuNw11cLiaWpAT/Uu+nokB+UJnevzy/P9C/ty6AOe0dwueMrGh/iQ==",
+      "cpu": [
+        "ppc64"
+      ],
+      "dev": true,
+      "optional": true,
+      "os": [
+        "aix"
+      ],
+      "engines": {
+        "node": ">=18"
+      }
+    },
+    "node_modules/@esbuild/android-arm": {
+      "version": "0.23.1",
+      "resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.23.1.tgz",
+      "integrity": "sha512-uz6/tEy2IFm9RYOyvKl88zdzZfwEfKZmnX9Cj1BHjeSGNuGLuMD1kR8y5bteYmwqKm1tj8m4cb/aKEorr6fHWQ==",
+      "cpu": [
+        "arm"
+      ],
+      "dev": true,
+      "optional": true,
+      "os": [
+        "android"
+      ],
+      "engines": {
+        "node": ">=18"
+      }
+    },
+    "node_modules/@esbuild/android-arm64": {
+      "version": "0.23.1",
+      "resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.23.1.tgz",
+      "integrity": "sha512-xw50ipykXcLstLeWH7WRdQuysJqejuAGPd30vd1i5zSyKK3WE+ijzHmLKxdiCMtH1pHz78rOg0BKSYOSB/2Khw==",
+      "cpu": [
+        "arm64"
+      ],
+      "dev": true,
+      "optional": true,
+      "os": [
+        "android"
+      ],
+      "engines": {
+        "node": ">=18"
+      }
+    },
+    "node_modules/@esbuild/android-x64": {
+      "version": "0.23.1",
+      "resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.23.1.tgz",
+      "integrity": "sha512-nlN9B69St9BwUoB+jkyU090bru8L0NA3yFvAd7k8dNsVH8bi9a8cUAUSEcEEgTp2z3dbEDGJGfP6VUnkQnlReg==",
+      "cpu": [
+        "x64"
+      ],
+      "dev": true,
+      "optional": true,
+      "os": [
+        "android"
+      ],
+      "engines": {
+        "node": ">=18"
+      }
+    },
+    "node_modules/@esbuild/darwin-arm64": {
+      "version": "0.23.1",
+      "resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.23.1.tgz",
+      "integrity": "sha512-YsS2e3Wtgnw7Wq53XXBLcV6JhRsEq8hkfg91ESVadIrzr9wO6jJDMZnCQbHm1Guc5t/CdDiFSSfWP58FNuvT3Q==",
+      "cpu": [
+        "arm64"
+      ],
+      "dev": true,
+      "optional": true,
+      "os": [
+        "darwin"
+      ],
+      "engines": {
+        "node": ">=18"
+      }
+    },
+    "node_modules/@esbuild/darwin-x64": {
+      "version": "0.23.1",
+      "resolved": "https://registry.npmjs.org/@esbuild/darwin-x64/-/darwin-x64-0.23.1.tgz",
+      "integrity": "sha512-aClqdgTDVPSEGgoCS8QDG37Gu8yc9lTHNAQlsztQ6ENetKEO//b8y31MMu2ZaPbn4kVsIABzVLXYLhCGekGDqw==",
+      "cpu": [
+        "x64"
+      ],
+      "dev": true,
+      "optional": true,
+      "os": [
+        "darwin"
+      ],
+      "engines": {
+        "node": ">=18"
+      }
+    },
+    "node_modules/@esbuild/freebsd-arm64": {
+      "version": "0.23.1",
+      "resolved": "https://registry.npmjs.org/@esbuild/freebsd-arm64/-/freebsd-arm64-0.23.1.tgz",
+      "integrity": "sha512-h1k6yS8/pN/NHlMl5+v4XPfikhJulk4G+tKGFIOwURBSFzE8bixw1ebjluLOjfwtLqY0kewfjLSrO6tN2MgIhA==",
+      "cpu": [
+        "arm64"
+      ],
+      "dev": true,
+      "optional": true,
+      "os": [
+        "freebsd"
+      ],
+      "engines": {
+        "node": ">=18"
+      }
+    },
+    "node_modules/@esbuild/freebsd-x64": {
+      "version": "0.23.1",
+      "resolved": "https://registry.npmjs.org/@esbuild/freebsd-x64/-/freebsd-x64-0.23.1.tgz",
+      "integrity": "sha512-lK1eJeyk1ZX8UklqFd/3A60UuZ/6UVfGT2LuGo3Wp4/z7eRTRYY+0xOu2kpClP+vMTi9wKOfXi2vjUpO1Ro76g==",
+      "cpu": [
+        "x64"
+      ],
+      "dev": true,
+      "optional": true,
+      "os": [
+        "freebsd"
+      ],
+      "engines": {
+        "node": ">=18"
+      }
+    },
+    "node_modules/@esbuild/linux-arm": {
+      "version": "0.23.1",
+      "resolved": "https://registry.npmjs.org/@esbuild/linux-arm/-/linux-arm-0.23.1.tgz",
+      "integrity": "sha512-CXXkzgn+dXAPs3WBwE+Kvnrf4WECwBdfjfeYHpMeVxWE0EceB6vhWGShs6wi0IYEqMSIzdOF1XjQ/Mkm5d7ZdQ==",
+      "cpu": [
+        "arm"
+      ],
+      "dev": true,
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": ">=18"
+      }
+    },
+    "node_modules/@esbuild/linux-arm64": {
+      "version": "0.23.1",
+      "resolved": "https://registry.npmjs.org/@esbuild/linux-arm64/-/linux-arm64-0.23.1.tgz",
+      "integrity": "sha512-/93bf2yxencYDnItMYV/v116zff6UyTjo4EtEQjUBeGiVpMmffDNUyD9UN2zV+V3LRV3/on4xdZ26NKzn6754g==",
+      "cpu": [
+        "arm64"
+      ],
+      "dev": true,
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": ">=18"
+      }
+    },
+    "node_modules/@esbuild/linux-ia32": {
+      "version": "0.23.1",
+      "resolved": "https://registry.npmjs.org/@esbuild/linux-ia32/-/linux-ia32-0.23.1.tgz",
+      "integrity": "sha512-VTN4EuOHwXEkXzX5nTvVY4s7E/Krz7COC8xkftbbKRYAl96vPiUssGkeMELQMOnLOJ8k3BY1+ZY52tttZnHcXQ==",
+      "cpu": [
+        "ia32"
+      ],
+      "dev": true,
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": ">=18"
+      }
+    },
+    "node_modules/@esbuild/linux-loong64": {
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+      "integrity": "sha512-si7QWI6zUMq56bESFvagtmzMdGOtoxfR+Sez11Mobfc7tm+VkUckk9bW2UeffTGVUbOksxmSw0AA2gs8g71NCQ==",
+      "dev": true,
+      "dependencies": {
+        "ansi-styles": "^6.1.0",
+        "string-width": "^5.0.1",
+        "strip-ansi": "^7.0.1"
+      },
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/wrap-ansi?sponsor=1"
+      }
+    },
+    "node_modules/wrap-ansi-cjs": {
+      "name": "wrap-ansi",
+      "version": "7.0.0",
+      "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-7.0.0.tgz",
+      "integrity": "sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==",
+      "dev": true,
+      "dependencies": {
+        "ansi-styles": "^4.0.0",
+        "string-width": "^4.1.0",
+        "strip-ansi": "^6.0.0"
+      },
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/wrap-ansi?sponsor=1"
+      }
+    },
+    "node_modules/wrap-ansi-cjs/node_modules/ansi-regex": {
+      "version": "5.0.1",
+      "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.1.tgz",
+      "integrity": "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==",
+      "dev": true,
+      "engines": {
+        "node": ">=8"
+      }
+    },
+    "node_modules/wrap-ansi-cjs/node_modules/ansi-styles": {
+      "version": "4.3.0",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
+      "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==",
+      "dev": true,
+      "dependencies": {
+        "color-convert": "^2.0.1"
+      },
+      "engines": {
+        "node": ">=8"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/ansi-styles?sponsor=1"
+      }
+    },
+    "node_modules/wrap-ansi-cjs/node_modules/emoji-regex": {
+      "version": "8.0.0",
+      "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
+      "integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A==",
+      "dev": true
+    },
+    "node_modules/wrap-ansi-cjs/node_modules/string-width": {
+      "version": "4.2.3",
+      "resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz",
+      "integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==",
+      "dev": true,
+      "dependencies": {
+        "emoji-regex": "^8.0.0",
+        "is-fullwidth-code-point": "^3.0.0",
+        "strip-ansi": "^6.0.1"
+      },
+      "engines": {
+        "node": ">=8"
+      }
+    },
+    "node_modules/wrap-ansi-cjs/node_modules/strip-ansi": {
+      "version": "6.0.1",
+      "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz",
+      "integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==",
+      "dev": true,
+      "dependencies": {
+        "ansi-regex": "^5.0.1"
+      },
+      "engines": {
+        "node": ">=8"
+      }
+    }
+  }
+}
diff --git a/ecosystem-tests/nodenext-tsup/package.json b/ecosystem-tests/nodenext-tsup/package.json
new file mode 100644
index 000000000..ddef80219
--- /dev/null
+++ b/ecosystem-tests/nodenext-tsup/package.json
@@ -0,0 +1,16 @@
+{
+  "name": "nodenext-tsup",
+  "module": "index.ts",
+  "type": "module",
+  "scripts": {
+    "build": "tsup",
+    "main": "npm run build && node dist/index.cjs"
+  },
+  "dependencies": {},
+  "devDependencies": {
+    "tsup": "^8.2.4"
+  },
+  "peerDependencies": {
+    "typescript": "^5.5.4"
+  }
+}
diff --git a/ecosystem-tests/nodenext-tsup/tsconfig.json b/ecosystem-tests/nodenext-tsup/tsconfig.json
new file mode 100644
index 000000000..49111f4a1
--- /dev/null
+++ 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
index c13c5f627..248fa61e3 100644
--- a/ecosystem-tests/ts-browser-webpack/.babelrc
+++ b/ecosystem-tests/ts-browser-webpack/.babelrc
@@ -1,3 +1,7 @@
 {
-  "presets": ["es2015"]
+  "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/package-lock.json b/ecosystem-tests/ts-browser-webpack/package-lock.json
index b8f507e9b..695b85955 100644
--- a/ecosystem-tests/ts-browser-webpack/package-lock.json
+++ b/ecosystem-tests/ts-browser-webpack/package-lock.json
@@ -8,17 +8,17 @@
       "name": "ts-browser-webpack",
       "version": "0.0.1",
       "devDependencies": {
-        "babel-core": "^6.26.3",
+        "@babel/core": "^7.21.0",
+        "@babel/preset-env": "^7.21.0",
+        "@babel/preset-typescript": "^7.21.0",
         "babel-loader": "^9.1.2",
-        "babel-preset-es2015": "^6.24.1",
         "fastest-levenshtein": "^1.0.16",
-        "force": "^0.0.3",
         "html-webpack-plugin": "^5.5.3",
-        "puppeteer": "^20.8.3",
+        "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",
+        "typescript": "^4.7.4",
         "webpack": "^5.87.0",
         "webpack-cli": "^5.0.2",
         "webpack-dev-server": "^4.15.1"
@@ -29,7 +29,6 @@
       "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.2.1.tgz",
       "integrity": "sha512-lFMjJTrFL3j7L9yBxwYfCq2k6qqwHyzuUl/XBnif78PWTJYyL/dfowQHWE3sp6U6ZzqWiiIZnpTMO96zhkjwtg==",
       "dev": true,
-      "peer": true,
       "dependencies": {
         "@jridgewell/gen-mapping": "^0.3.0",
         "@jridgewell/trace-mapping": "^0.3.9"
@@ -39,24 +38,23 @@
       }
     },
     "node_modules/@babel/code-frame": {
-      "version": "7.22.13",
-      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.22.13.tgz",
-      "integrity": "sha512-XktuhWlJ5g+3TJXc5upd9Ks1HutSArik6jf2eAjYFyIOf4ej3RN+184cZbzDvbPnuTJIUhPKKJE3cIsYTiAT3w==",
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.24.7.tgz",
+      "integrity": "sha512-BcYH1CVJBO9tvyIZ2jVeXgSIMvGZ2FDRvDdOIVQyuklNKSsx+eppDEBq/g47Ayw+RqNFE+URvOShmf+f/qwAlA==",
       "dev": true,
       "dependencies": {
-        "@babel/highlight": "^7.22.13",
-        "chalk": "^2.4.2"
+        "@babel/highlight": "^7.24.7",
+        "picocolors": "^1.0.0"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/compat-data": {
-      "version": "7.22.9",
-      "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.22.9.tgz",
-      "integrity": "sha512-5UamI7xkUcJ3i9qVDS+KFDEK8/7oJ55/sJMB1Ge7IEapr7KfdfV/HErR+koZwOfd+SgtFKOKRhRakdg++DcJpQ==",
+      "version": "7.25.4",
+      "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.25.4.tgz",
+      "integrity": "sha512-+LGRog6RAsCJrrrg/IO6LGmpphNe5DiK30dGjCoxxeGv49B10/3XYGxPsAwrDlMFcFEvdAUavDT8r9k/hSyQqQ==",
       "dev": true,
-      "peer": true,
       "engines": {
         "node": ">=6.9.0"
       }
@@ -66,7 +64,6 @@
       "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.22.11.tgz",
       "integrity": "sha512-lh7RJrtPdhibbxndr6/xx0w8+CVlY5FJZiaSz908Fpy+G0xkBFTvwLcKJFF4PJxVfGhVWNebikpWGnOoC71juQ==",
       "dev": true,
-      "peer": true,
       "dependencies": {
         "@ampproject/remapping": "^2.2.0",
         "@babel/code-frame": "^7.22.10",
@@ -93,31 +90,54 @@
       }
     },
     "node_modules/@babel/generator": {
-      "version": "7.22.10",
-      "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.22.10.tgz",
-      "integrity": "sha512-79KIf7YiWjjdZ81JnLujDRApWtl7BxTqWD88+FFdQEIOG8LJ0etDOM7CXuIgGJa55sGOwZVwuEsaLEm0PJ5/+A==",
+      "version": "7.25.6",
+      "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.25.6.tgz",
+      "integrity": "sha512-VPC82gr1seXOpkjAAKoLhP50vx4vGNlF4msF64dSFq1P8RfB+QAuJWGHPXXPc8QyfVWwwB/TNNU4+ayZmHNbZw==",
       "dev": true,
-      "peer": true,
       "dependencies": {
-        "@babel/types": "^7.22.10",
-        "@jridgewell/gen-mapping": "^0.3.2",
-        "@jridgewell/trace-mapping": "^0.3.17",
+        "@babel/types": "^7.25.6",
+        "@jridgewell/gen-mapping": "^0.3.5",
+        "@jridgewell/trace-mapping": "^0.3.25",
         "jsesc": "^2.5.1"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
+    "node_modules/@babel/helper-annotate-as-pure": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-annotate-as-pure/-/helper-annotate-as-pure-7.24.7.tgz",
+      "integrity": "sha512-BaDeOonYvhdKw+JoMVkAixAAJzG2jVPIwWoKBPdYuY9b452e2rPuI9QPYh3KpofZ3pW2akOmwZLOiOsHMiqRAg==",
+      "dev": true,
+      "dependencies": {
+        "@babel/types": "^7.24.7"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/helper-builder-binary-assignment-operator-visitor": {
+      "version": "7.24.7",
+      "resolved": "https://registry.npmjs.org/@babel/helper-builder-binary-assignment-operator-visitor/-/helper-builder-binary-assignment-operator-visitor-7.24.7.tgz",
+      "integrity": "sha512-xZeCVVdwb4MsDBkkyZ64tReWYrLRHlMN72vP7Bdm3OUOuyFZExhsHUUnuWnm2/XOlAJzR0LfPpB56WXZn0X/lA==",
+      "dev": true,
+      "dependencies": {
+        "@babel/traverse": "^7.24.7",
+        "@babel/types": "^7.24.7"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
     "node_modules/@babel/helper-compilation-targets": {
-      "version": "7.22.10",
-      "resolved": "https://registry.npmjs.org/@babel/helper-compilation-targets/-/helper-compilation-targets-7.22.10.tgz",
-      "integrity": "sha512-JMSwHD4J7SLod0idLq5PKgI+6g/hLD/iuWBq08ZX49xE14VpVEojJ5rHWptpirV2j020MvypRLAXAO50igCJ5Q==",
+      "version": "7.25.2",
+      "resolved": "https://registry.npmjs.org/@babel/helper-compilation-targets/-/helper-compilation-targets-7.25.2.tgz",
+      "integrity": "sha512-U2U5LsSaZ7TAt3cfaymQ8WHh0pxvdHoEk6HVpaexxixjyEquMh0L0YNJNM6CTGKMXV1iksi0iZkGw4AcFkPaaw==",
       "dev": true,
-      "peer": true,
       "dependencies": {
-        "@babel/compat-data": "^7.22.9",
-        "@babel/helper-validator-option": "^7.22.5",
-        "browserslist": "^4.21.9",
+        "@babel/compat-data": "^7.25.2",
+        "@babel/helper-validator-option": "^7.24.8",
+        "browserslist": "^4.23.1",
         "lru-cache": "^5.1.1",
         "semver": "^6.3.1"
       },
@@ -125,68 +145,189 @@
         "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/helper-environment-visitor": {
-      "version": "7.22.5",
-      "resolved": "https://registry.npmjs.org/@babel/helper-environment-visitor/-/helper-environment-visitor-7.22.5.tgz",
-      "integrity": "sha512-XGmhECfVA/5sAt+H+xpSg0mfrHq6FzNr9Oxh7PSEBBRUb/mL7Kz3NICXb194rCqAEdxkhPT1a88teizAFyvk8Q==",
+    "node_modules/@babel/helper-create-class-features-plugin": {
+      "version": "7.25.4",
+      "resolved": "https://registry.npmjs.org/@babel/helper-create-class-features-plugin/-/helper-create-class-features-plugin-7.25.4.tgz",
+      "integrity": "sha512-ro/bFs3/84MDgDmMwbcHgDa8/E6J3QKNTk4xJJnVeFtGE+tL0K26E3pNxhYz2b67fJpt7Aphw5XcploKXuCvCQ==",
       "dev": true,
-      "peer": true,
+      "dependencies": {
+        "@babel/helper-annotate-as-pure": "^7.24.7",
+        "@babel/helper-member-expression-to-functions": "^7.24.8",
+        "@babel/helper-optimise-call-expression": "^7.24.7",
+        "@babel/helper-replace-supers": "^7.25.0",
+        "@babel/helper-skip-transparent-expression-wrappers": "^7.24.7",
+        "@babel/traverse": "^7.25.4",
+        "semver": "^6.3.1"
+      },
       "engines": {
         "node": ">=6.9.0"
+      },
+      "peerDependencies": {
+        "@babel/core": "^7.0.0"
       }
     },
-    "node_modules/@babel/helper-function-name": {
-      "version": "7.22.5",
-      "resolved": "https://registry.npmjs.org/@babel/helper-function-name/-/helper-function-name-7.22.5.tgz",
-      "integrity": "sha512-wtHSq6jMRE3uF2otvfuD3DIvVhOsSNshQl0Qrd7qC9oQJzHvOL4qQXlQn2916+CXGywIjpGuIkoyZRRxHPiNQQ==",
+    "node_modules/@babel/helper-create-regexp-features-plugin": {
+      "version": "7.25.2",
+      "resolved": "https://registry.npmjs.org/@babel/helper-create-regexp-features-plugin/-/helper-create-regexp-features-plugin-7.25.2.tgz",
+      "integrity": "sha512-+wqVGP+DFmqwFD3EH6TMTfUNeqDehV3E/dl+Sd54eaXqm17tEUNbEIn4sVivVowbvUpOtIGxdo3GoXyDH9N/9g==",
       "dev": true,
-      "peer": true,
       "dependencies": {
-        "@babel/template": "^7.22.5",
-        "@babel/types": "^7.22.5"
+        "@babel/helper-annotate-as-pure": "^7.24.7",
+        "regexpu-core": "^5.3.1",
+        "semver": "^6.3.1"
       },
       "engines": {
         "node": ">=6.9.0"
+      },
+      "peerDependencies": {
+        "@babel/core": "^7.0.0"
       }
     },
-    "node_modules/@babel/helper-hoist-variables": {
-      "version": "7.22.5",
-      "resolved": "https://registry.npmjs.org/@babel/helper-hoist-variables/-/helper-hoist-variables-7.22.5.tgz",
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+    "node_modules/@babel/helper-create-regexp-features-plugin/node_modules/jsesc": {
+      "version": "0.5.0",
+      "resolved": "https://registry.npmjs.org/jsesc/-/jsesc-0.5.0.tgz",
+      "integrity": "sha512-uZz5UnB7u4T9LvwmFqXii7pZSouaRPorGs5who1Ip7VO0wxanFvBL7GkM6dTHlgX+jhBApRetaWpnDabOeTcnA==",
+      "dev": true,
+      "bin": {
+        "jsesc": "bin/jsesc"
+      }
+    },
+    "node_modules/@babel/helper-create-regexp-features-plugin/node_modules/regexpu-core": {
+      "version": "5.3.2",
+      "resolved": "https://registry.npmjs.org/regexpu-core/-/regexpu-core-5.3.2.tgz",
+      "integrity": "sha512-RAM5FlZz+Lhmo7db9L298p2vHP5ZywrVXmVXpmAD9GuL5MPH6t9ROw1iA/wfHkQ76Qe7AaPF0nGuim96/IrQMQ==",
+      "dev": true,
+      "dependencies": {
+        "@babel/regjsgen": "^0.8.0",
+        "regenerate": "^1.4.2",
+        "regenerate-unicode-properties": "^10.1.0",
+        "regjsparser": "^0.9.1",
+        "unicode-match-property-ecmascript": "^2.0.0",
+        "unicode-match-property-value-ecmascript": "^2.1.0"
+      },
+      "engines": {
+        "node": ">=4"
+      }
+    },
+    "node_modules/@babel/helper-create-regexp-features-plugin/node_modules/regjsparser": {
+      "version": "0.9.1",
+      "resolved": "https://registry.npmjs.org/regjsparser/-/regjsparser-0.9.1.tgz",
+      "integrity": "sha512-dQUtn90WanSNl+7mQKcXAgZxvUe7Z0SqXlgzv0za4LwiUhyzBC58yQO3liFoUgu8GiJVInAhJjkj1N0EtQ5nkQ==",
+      "dev": true,
+      "dependencies": {
+        "jsesc": "~0.5.0"
+      },
+      "bin": {
+        "regjsparser": "bin/parser"
+      }
+    },
+    "node_modules/@babel/helper-define-polyfill-provider": {
+      "version": "0.6.2",
+      "resolved": "https://registry.npmjs.org/@babel/helper-define-polyfill-provider/-/helper-define-polyfill-provider-0.6.2.tgz",
+      "integrity": "sha512-LV76g+C502biUK6AyZ3LK10vDpDyCzZnhZFXkH1L75zHPj68+qc8Zfpx2th+gzwA2MzyK+1g/3EPl62yFnVttQ==",
+      "dev": true,
+      "dependencies": {
+        "@babel/helper-compilation-targets": "^7.22.6",
+        "@babel/helper-plugin-utils": "^7.22.5",
+        "debug": "^4.1.1",
+        "lodash.debounce": "^4.0.8",
+        "resolve": "^1.14.2"
+      },
+      "peerDependencies": {
+        "@babel/core": "^7.4.0 || ^8.0.0-0 <8.0.0"
+      }
+    },
+    "node_modules/@babel/helper-member-expression-to-functions": {
+      "version": "7.24.8",
+      "resolved": "https://registry.npmjs.org/@babel/helper-member-expression-to-functions/-/helper-member-expression-to-functions-7.24.8.tgz",
+      "integrity": "sha512-LABppdt+Lp/RlBxqrh4qgf1oEH/WxdzQNDJIu5gC/W1GyvPVrOBiItmmM8wan2fm4oYqFuFfkXmlGpLQhPY8CA==",
       "dev": true,
-      "peer": true,
       "dependencies": {
-        "@babel/types": "^7.22.5"
+        "@babel/traverse": "^7.24.8",
+        "@babel/types": "^7.24.8"
       },
       "engines": {
         "node": ">=6.9.0"
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+    "node_modules/typed-query-selector": {
+      "version": "2.12.0",
+      "resolved": "https://registry.npmjs.org/typed-query-selector/-/typed-query-selector-2.12.0.tgz",
+      "integrity": "sha512-SbklCd1F0EiZOyPiW192rrHZzZ5sBijB6xM+cpmrwDqObvdtunOHHIk9fCGsoK5JVIYXoyEp4iEdE3upFH3PAg==",
+      "dev": true
+    },
     "node_modules/typescript": {
       "version": "4.7.4",
       "resolved": "https://registry.npmjs.org/typescript/-/typescript-4.7.4.tgz",
@@ -6712,13 +7096,53 @@
         "through": "^2.3.8"
       }
     },
+    "node_modules/unicode-canonical-property-names-ecmascript": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/unicode-canonical-property-names-ecmascript/-/unicode-canonical-property-names-ecmascript-2.0.1.tgz",
+      "integrity": "sha512-dA8WbNeb2a6oQzAQ55YlT5vQAWGV9WXOsi3SskE3bcCdM0P4SDd+24zS/OCacdRq5BkdsRj9q3Pg6YyQoxIGqg==",
+      "dev": true,
+      "engines": {
+        "node": ">=4"
+      }
+    },
+    "node_modules/unicode-match-property-ecmascript": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/unicode-match-property-ecmascript/-/unicode-match-property-ecmascript-2.0.0.tgz",
+      "integrity": "sha512-5kaZCrbp5mmbz5ulBkDkbY0SsPOjKqVS35VpL9ulMPfSl0J0Xsm+9Evphv9CoIZFwre7aJoa94AY6seMKGVN5Q==",
+      "dev": true,
+      "dependencies": {
+        "unicode-canonical-property-names-ecmascript": "^2.0.0",
+        "unicode-property-aliases-ecmascript": "^2.0.0"
+      },
+      "engines": {
+        "node": ">=4"
+      }
+    },
+    "node_modules/unicode-match-property-value-ecmascript": {
+      "version": "2.2.0",
+      "resolved": "https://registry.npmjs.org/unicode-match-property-value-ecmascript/-/unicode-match-property-value-ecmascript-2.2.0.tgz",
+      "integrity": "sha512-4IehN3V/+kkr5YeSSDDQG8QLqO26XpL2XP3GQtqwlT/QYSECAwFztxVHjlbh0+gjJ3XmNLS0zDsbgs9jWKExLg==",
+      "dev": true,
+      "engines": {
+        "node": ">=4"
+      }
+    },
+    "node_modules/unicode-property-aliases-ecmascript": {
+      "version": "2.1.0",
+      "resolved": "https://registry.npmjs.org/unicode-property-aliases-ecmascript/-/unicode-property-aliases-ecmascript-2.1.0.tgz",
+      "integrity": "sha512-6t3foTQI9qne+OZoVQB/8x8rk2k1eVy1gRXhV3oFQ5T6R1dqQ1xtin3XqSlx3+ATBkliTaR/hHyJBm+LVPNM8w==",
+      "dev": true,
+      "engines": {
+        "node": ">=4"
+      }
+    },
     "node_modules/universalify": {
-      "version": "0.1.2",
-      "resolved": "https://registry.npmjs.org/universalify/-/universalify-0.1.2.tgz",
-      "integrity": "sha512-rBJeI5CXAlmy1pV+617WB9J63U6XcazHHF2f2dbJix4XzpUF0RS3Zbj0FGIOCAva5P/d/GBOYaACQ1w+0azUkg==",
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/universalify/-/universalify-2.0.1.tgz",
+      "integrity": "sha512-gptHNQghINnc/vTGIk0SOFGFNXw7JVrlRUtConJRlvaw6DuX0wO5Jeko9sWrMBhh+PsYAZ7oXAiOnf/UKogyiw==",
       "dev": true,
       "engines": {
-        "node": ">= 4.0.0"
+        "node": ">= 10.0.0"
       }
     },
     "node_modules/unpipe": {
@@ -6731,9 +7155,9 @@
       }
     },
     "node_modules/update-browserslist-db": {
-      "version": "1.0.11",
-      "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.0.11.tgz",
-      "integrity": "sha512-dCwEFf0/oT85M1fHBg4F0jtLwJrutGoHSQXCh7u4o2t1drG+c0a9Flnqww6XUKSfQMPpJBRjU8d4RXB09qtvaA==",
+      "version": "1.1.0",
+      "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.1.0.tgz",
+      "integrity": "sha512-EdRAaAyk2cUE1wOf2DkEhzxqOQvFOoRJFNS6NeyJ01Gp2beMRpBAINjM2iDXE3KCuKhwnvHIQCJm6ThL2Z+HzQ==",
       "dev": true,
       "funding": [
         {
@@ -6750,8 +7174,8 @@
         }
       ],
       "dependencies": {
-        "escalade": "^3.1.1",
-        "picocolors": "^1.0.0"
+        "escalade": "^3.1.2",
+        "picocolors": "^1.0.1"
       },
       "bin": {
         "update-browserslist-db": "cli.js"
@@ -6769,6 +7193,12 @@
         "punycode": "^2.1.0"
       }
     },
+    "node_modules/urlpattern-polyfill": {
+      "version": "10.0.0",
+      "resolved": "https://registry.npmjs.org/urlpattern-polyfill/-/urlpattern-polyfill-10.0.0.tgz",
+      "integrity": "sha512-H/A06tKD7sS1O1X2SshBVeA5FLycRpjqiBeqGKmBwBDBy28EnRjORxTNe269KSSr5un5qyWi1iL61wLxpd+ZOg==",
+      "dev": true
+    },
     "node_modules/util-deprecate": {
       "version": "1.0.2",
       "resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz",
@@ -6790,16 +7220,6 @@
         "node": ">= 0.4.0"
       }
     },
-    "node_modules/uuid": {
-      "version": "3.4.0",
-      "resolved": "https://registry.npmjs.org/uuid/-/uuid-3.4.0.tgz",
-      "integrity": "sha512-HjSDRw6gZE5JMggctHBcjVak08+KEVhSIiDzFnT9S9aegmp85S/bReBVTb4QTFaRNptJ9kuYaNhnbNEOkbKb/A==",
-      "deprecated": "Please upgrade  to version 7 or higher.  Older versions may use Math.random() in certain circumstances, which is known to be problematic.  See https://v8.dev/blog/math-random for details.",
-      "dev": true,
-      "bin": {
-        "uuid": "bin/uuid"
-      }
-    },
     "node_modules/v8-compile-cache-lib": {
       "version": "3.0.1",
       "resolved": "https://registry.npmjs.org/v8-compile-cache-lib/-/v8-compile-cache-lib-3.0.1.tgz",
@@ -6815,20 +7235,6 @@
         "node": ">= 0.8"
       }
     },
-    "node_modules/verror": {
-      "version": "1.10.0",
-      "resolved": "https://registry.npmjs.org/verror/-/verror-1.10.0.tgz",
-      "integrity": "sha512-ZZKSmDAEFOijERBLkmYfJ+vmk3w+7hOLYDNkRCuRuMJGEmqYNCNLyBBFwWKVMhfwaEF3WOd0Zlw86U/WC/+nYw==",
-      "dev": true,
-      "engines": [
-        "node >=0.6.0"
-      ],
-      "dependencies": {
-        "assert-plus": "^1.0.0",
-        "core-util-is": "1.0.2",
-        "extsprintf": "^1.2.0"
-      }
-    },
     "node_modules/wait-on": {
       "version": "7.2.0",
       "resolved": "https://registry.npmjs.org/wait-on/-/wait-on-7.2.0.tgz",
@@ -6870,12 +7276,6 @@
         "minimalistic-assert": "^1.0.0"
       }
     },
-    "node_modules/webidl-conversions": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-3.0.1.tgz",
-      "integrity": "sha512-2JAn3z8AR6rjK8Sm8orRC0h/bcl/DqL7tRPdGZ4I1CjdF+EaMLmYxBHyXuKL849eucPFhvBoxMsflfOb8kxaeQ==",
-      "dev": true
-    },
     "node_modules/webpack": {
       "version": "5.88.2",
       "resolved": "https://registry.npmjs.org/webpack/-/webpack-5.88.2.tgz",
@@ -6978,9 +7378,9 @@
       }
     },
     "node_modules/webpack-dev-middleware": {
-      "version": "5.3.3",
-      "resolved": "https://registry.npmjs.org/webpack-dev-middleware/-/webpack-dev-middleware-5.3.3.tgz",
-      "integrity": "sha512-hj5CYrY0bZLB+eTO+x/j67Pkrquiy7kWepMHmUMoPsmcUaeEnQJqFzHJOyxgWlq746/wUuA64p9ta34Kyb01pA==",
+      "version": "5.3.4",
+      "resolved": "https://registry.npmjs.org/webpack-dev-middleware/-/webpack-dev-middleware-5.3.4.tgz",
+      "integrity": "sha512-BVdTqhhs+0IfoeAf7EoH5WE+exCmqGerHfDM0IL096Px60Tq2Mn9MAbnaGUe6HiMa41KMCYF19gyzZmBcq/o4Q==",
       "dev": true,
       "dependencies": {
         "colorette": "^2.0.10",
@@ -7001,9 +7401,9 @@
       }
     },
     "node_modules/webpack-dev-server": {
-      "version": "4.15.1",
-      "resolved": "https://registry.npmjs.org/webpack-dev-server/-/webpack-dev-server-4.15.1.tgz",
-      "integrity": "sha512-5hbAst3h3C3L8w6W4P96L5vaV0PxSmJhxZvWKYIdgxOQm8pNZ5dEOmmSLBVpP85ReeyRt6AS1QJNyo/oFFPeVA==",
+      "version": "4.15.2",
+      "resolved": "https://registry.npmjs.org/webpack-dev-server/-/webpack-dev-server-4.15.2.tgz",
+      "integrity": "sha512-0XavAZbNJ5sDrCbkpWL8mia0o5WPOd2YGtxrEiZkBK9FjLppIUK2TgxK6qGD2P3hUXTJNNPVibrerKcx5WkR1g==",
       "dev": true,
       "dependencies": {
         "@types/bonjour": "^3.5.9",
@@ -7034,7 +7434,7 @@
         "serve-index": "^1.9.1",
         "sockjs": "^0.3.24",
         "spdy": "^4.0.2",
-        "webpack-dev-middleware": "^5.3.1",
+        "webpack-dev-middleware": "^5.3.4",
         "ws": "^8.13.0"
       },
       "bin": {
@@ -7122,16 +7522,6 @@
         "node": ">=0.8.0"
       }
     },
-    "node_modules/whatwg-url": {
-      "version": "5.0.0",
-      "resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-5.0.0.tgz",
-      "integrity": "sha512-saE57nupxk6v3HY35+jzBwYa0rKSy0XR8JSxZPwgLr7ys0IBzhGviA1/TUGJLmSVqs8pb9AnvICXEuOHLprYTw==",
-      "dev": true,
-      "dependencies": {
-        "tr46": "~0.0.3",
-        "webidl-conversions": "^3.0.0"
-      }
-    },
     "node_modules/which": {
       "version": "2.0.2",
       "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",
@@ -7210,9 +7600,9 @@
       "dev": true
     },
     "node_modules/ws": {
-      "version": "8.13.0",
-      "resolved": "https://registry.npmjs.org/ws/-/ws-8.13.0.tgz",
-      "integrity": "sha512-x9vcZYTrFPC7aSIbj7sRCYo7L/Xb8Iy+pW0ng0wt2vCJv7M9HOMy0UoN3rr+IFC7hb7vXoqS+P9ktyLLLhO+LA==",
+      "version": "8.18.0",
+      "resolved": "https://registry.npmjs.org/ws/-/ws-8.18.0.tgz",
+      "integrity": "sha512-8VbfWfHLbbwu3+N6OKsOMpBdT4kXPDDB9cJk2bJ6mh9ucxdlnNvH1e+roYkKmN9Nxw2yjz7VzeO9oOz2zJ04Pw==",
       "dev": true,
       "engines": {
         "node": ">=10.0.0"
@@ -7243,13 +7633,12 @@
       "version": "3.1.1",
       "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz",
       "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g==",
-      "dev": true,
-      "peer": true
+      "dev": true
     },
     "node_modules/yargs": {
-      "version": "17.7.1",
-      "resolved": "https://registry.npmjs.org/yargs/-/yargs-17.7.1.tgz",
-      "integrity": "sha512-cwiTb08Xuv5fqF4AovYacTFNxk62th7LKJ6BL9IGUpTJrWoU7/7WdQGTP2SjKf1dUNBGzDd28p/Yfs/GI6JrLw==",
+      "version": "17.7.2",
+      "resolved": "https://registry.npmjs.org/yargs/-/yargs-17.7.2.tgz",
+      "integrity": "sha512-7dSzzRQ++CKnNI/krKnYRV7JKKPUXMEh61soaHKg9mrWEhzFWhFnxPxGl+69cD1Ou63C13NUPCnmIcrvqCuM6w==",
       "dev": true,
       "dependencies": {
         "cliui": "^8.0.1",
@@ -7303,6 +7692,15 @@
       "funding": {
         "url": "https://github.com/sponsors/sindresorhus"
       }
+    },
+    "node_modules/zod": {
+      "version": "3.23.8",
+      "resolved": "https://registry.npmjs.org/zod/-/zod-3.23.8.tgz",
+      "integrity": "sha512-XBx9AXhXktjUqnepgTiE5flcKIYWi/rme0Eaj+5Y0lftuGBq+jyRu/md4WnuxqgP1ubdpNCsYEYPxrzVHD8d6g==",
+      "dev": true,
+      "funding": {
+        "url": "https://github.com/sponsors/colinhacks"
+      }
     }
   }
 }
diff --git a/ecosystem-tests/ts-browser-webpack/package.json b/ecosystem-tests/ts-browser-webpack/package.json
index ac251790f..921495cb0 100644
--- a/ecosystem-tests/ts-browser-webpack/package.json
+++ b/ecosystem-tests/ts-browser-webpack/package.json
@@ -5,23 +5,23 @@
   "description": "ts-browser-webpack",
   "scripts": {
     "tsc": "tsc",
-    "serve": "webpack-cli serve",
+    "serve": "webpack serve",
     "build": "webpack",
     "test": "ts-node src/test.ts",
     "test:ci": "start-server-and-test serve http://localhost:8080 test"
   },
   "devDependencies": {
-    "babel-core": "^6.26.3",
+    "@babel/core": "^7.21.0",
+    "@babel/preset-env": "^7.21.0",
+    "@babel/preset-typescript": "^7.21.0",
     "babel-loader": "^9.1.2",
-    "babel-preset-es2015": "^6.24.1",
     "fastest-levenshtein": "^1.0.16",
-    "force": "^0.0.3",
     "html-webpack-plugin": "^5.5.3",
-    "puppeteer": "^20.8.3",
+    "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",
+    "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/src/index.ts b/ecosystem-tests/ts-browser-webpack/src/index.ts
index b7821f568..75fb6ea7a 100644
--- a/ecosystem-tests/ts-browser-webpack/src/index.ts
+++ b/ecosystem-tests/ts-browser-webpack/src/index.ts
@@ -209,4 +209,13 @@ describe('toFile', () => {
   });
 });
 
+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/webpack.config.js b/ecosystem-tests/ts-browser-webpack/webpack.config.js
index 4dec6efb4..0b5c3c7d5 100644
--- a/ecosystem-tests/ts-browser-webpack/webpack.config.js
+++ b/ecosystem-tests/ts-browser-webpack/webpack.config.js
@@ -25,13 +25,13 @@ module.exports = {
       {
         test: /\.ts$/,
         exclude: /node_modules/,
-        loader: 'ts-loader',
+        use: 'ts-loader',
       },
     ],
   },
 
   resolve: {
-    extensions: ['*', '.js', '.ts'],
+    extensions: ['.js', '.ts'],
   },
 
   devtool: 'eval',
@@ -42,4 +42,12 @@ module.exports = {
       filename: 'index.html',
     }),
   ],
+
+  devServer: {
+    static: {
+      directory: publicPath,
+    },
+    compress: true,
+    port: 8080,
+  },
 };
diff --git a/ecosystem-tests/vercel-edge/package-lock.json b/ecosystem-tests/vercel-edge/package-lock.json
index 6b44e0774..aaca4370c 100644
--- a/ecosystem-tests/vercel-edge/package-lock.json
+++ b/ecosystem-tests/vercel-edge/package-lock.json
@@ -9,14 +9,14 @@
       "version": "0.1.0",
       "dependencies": {
         "ai": "2.1.34",
-        "next": "13.4.6",
+        "next": "^14.2.25",
         "react": "18.2.0",
         "react-dom": "18.2.0"
       },
       "devDependencies": {
         "@types/node": "20.3.3",
-        "@types/react": "18.2.13",
-        "@types/react-dom": "18.2.6",
+        "@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",
@@ -730,9 +730,9 @@
       }
     },
     "node_modules/@edge-runtime/format": {
-      "version": "2.2.0",
-      "resolved": "https://registry.npmjs.org/@edge-runtime/format/-/format-2.2.0.tgz",
-      "integrity": "sha512-gPrS6AVw/qJJL0vcxMXv4kFXCU3ZTCD1uuJpwX15YxHV8BgU9OG5v9LrkkXcr96PBT/9epypfNJMhlWADuEziw==",
+      "version": "2.2.1",
+      "resolved": "https://registry.npmjs.org/@edge-runtime/format/-/format-2.2.1.tgz",
+      "integrity": "sha512-JQTRVuiusQLNNLe2W9tnzBlV/GvSVcozLl4XZHk5swnRZ/v6jp8TqR8P7sqmJsQqblDZ3EztcWmLDbhRje/+8g==",
       "dev": true,
       "engines": {
         "node": ">=16"
@@ -747,22 +747,31 @@
         "node": ">=14"
       }
     },
+    "node_modules/@edge-runtime/ponyfill": {
+      "version": "2.4.2",
+      "resolved": "https://registry.npmjs.org/@edge-runtime/ponyfill/-/ponyfill-2.4.2.tgz",
+      "integrity": "sha512-oN17GjFr69chu6sDLvXxdhg0Qe8EZviGSuqzR9qOiKh4MhFYGdBBcqRNzdmYeAdeRzOW2mM9yil4RftUQ7sUOA==",
+      "dev": true,
+      "engines": {
+        "node": ">=16"
+      }
+    },
     "node_modules/@edge-runtime/primitives": {
-      "version": "3.1.0",
-      "resolved": "https://registry.npmjs.org/@edge-runtime/primitives/-/primitives-3.1.0.tgz",
-      "integrity": "sha512-yxr1QM/lC8nrU38zxePeDqVeIjwsJ83gKGTH8YJ4CoHTv3q+6xEeqRIT+/9IPX/FApWYtnxHauhNqr6CHRj5YA==",
+      "version": "4.1.0",
+      "resolved": "https://registry.npmjs.org/@edge-runtime/primitives/-/primitives-4.1.0.tgz",
+      "integrity": "sha512-Vw0lbJ2lvRUqc7/soqygUX216Xb8T3WBZ987oywz6aJqRxcwSVWwr9e+Nqo2m9bxobA9mdbWNNoRY6S9eko1EQ==",
       "dev": true,
       "engines": {
         "node": ">=16"
       }
     },
     "node_modules/@edge-runtime/vm": {
-      "version": "3.1.0",
-      "resolved": "https://registry.npmjs.org/@edge-runtime/vm/-/vm-3.1.0.tgz",
-      "integrity": "sha512-Y2JZgJP+4byI17SiDeEZhvBUvJ+om7E5ll/jrS7aGRpet5qKnJSsGep6xxhMjqT/j8ulFvTMN/kdlMMy5pEKBQ==",
+      "version": "3.2.0",
+      "resolved": "https://registry.npmjs.org/@edge-runtime/vm/-/vm-3.2.0.tgz",
+      "integrity": "sha512-0dEVyRLM/lG4gp1R/Ik5bfPl/1wX00xFwd5KcNH602tzBa09oF7pbTKETEhR1GjZ75K6OJnYFu8II2dyMhONMw==",
       "dev": true,
       "dependencies": {
-        "@edge-runtime/primitives": "3.1.0"
+        "@edge-runtime/primitives": "4.1.0"
       },
       "engines": {
         "node": ">=16"
@@ -1171,14 +1180,14 @@
       }
     },
     "node_modules/@next/env": {
-      "version": "13.4.6",
-      "resolved": "https://registry.npmjs.org/@next/env/-/env-13.4.6.tgz",
-      "integrity": "sha512-nqUxEtvDqFhmV1/awSg0K2XHNwkftNaiUqCYO9e6+MYmqNObpKVl7OgMkGaQ2SZnFx5YqF0t60ZJTlyJIDAijg=="
+      "version": "14.2.25",
+      "resolved": "https://registry.npmjs.org/@next/env/-/env-14.2.25.tgz",
+      "integrity": "sha512-JnzQ2cExDeG7FxJwqAksZ3aqVJrHjFwZQAEJ9gQZSoEhIow7SNoKZzju/AwQ+PLIR4NY8V0rhcVozx/2izDO0w=="
     },
     "node_modules/@next/swc-darwin-arm64": {
-      "version": "13.4.6",
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-      "version": "7.5.4",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz",
-      "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==",
+      "version": "7.6.0",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.0.tgz",
+      "integrity": "sha512-EnwXhrlwXMk9gKu5/flx5sv/an57AkRplG3hTK68W7FRDN+k+OWBj65M7719OkA82XLBxrcX0KSHj+X5COhOVg==",
       "dev": true,
       "dependencies": {
         "lru-cache": "^6.0.0"
@@ -6367,9 +6374,10 @@
       "dev": true
     },
     "node_modules/tslib": {
-      "version": "2.6.2",
-      "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.6.2.tgz",
-      "integrity": "sha512-AEYxH93jGFPn/a2iVAwW87VuUIkR1FVUKB77NwMF7nBTDkDrrT/Hpt/IrCJ0QXhW27jTBDcf5ZY7w6RiqTMw2Q=="
+      "version": "2.8.1",
+      "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.8.1.tgz",
+      "integrity": "sha512-oJFu94HQb+KVduSUQL7wnpmqnfmLsOA/nAh6b6EH0wCEoK0/mPeXU6c3wKDV83MkOuHPRHtSXKKU99IBazS/2w==",
+      "license": "0BSD"
     },
     "node_modules/type-detect": {
       "version": "4.0.8",
@@ -6553,18 +6561,6 @@
         "makeerror": "1.0.12"
       }
     },
-    "node_modules/watchpack": {
-      "version": "2.4.0",
-      "resolved": "https://registry.npmjs.org/watchpack/-/watchpack-2.4.0.tgz",
-      "integrity": "sha512-Lcvm7MGST/4fup+ifyKi2hjyIAwcdI4HRgtvTpIUxBRhB+RFtUh8XtDOxUfctVCnhVi+QQj49i91OyvzkJl6cg==",
-      "dependencies": {
-        "glob-to-regexp": "^0.4.1",
-        "graceful-fs": "^4.1.2"
-      },
-      "engines": {
-        "node": ">=10.13.0"
-      }
-    },
     "node_modules/web-vitals": {
       "version": "0.2.4",
       "resolved": "https://registry.npmjs.org/web-vitals/-/web-vitals-0.2.4.tgz",
@@ -6715,14 +6711,6 @@
       "funding": {
         "url": "https://github.com/sponsors/sindresorhus"
       }
-    },
-    "node_modules/zod": {
-      "version": "3.21.4",
-      "resolved": "https://registry.npmjs.org/zod/-/zod-3.21.4.tgz",
-      "integrity": "sha512-m46AKbrzKVzOzs/DZgVnG5H55N1sv1M8qZU3A8RIKbs3mrACDNeIOeilDymVb2HdmP8uwshOCF4uJ8uM9rCqJw==",
-      "funding": {
-        "url": "https://github.com/sponsors/colinhacks"
-      }
     }
   }
 }
diff --git a/ecosystem-tests/vercel-edge/package.json b/ecosystem-tests/vercel-edge/package.json
index 9ebff4bbc..5a8fea816 100644
--- a/ecosystem-tests/vercel-edge/package.json
+++ b/ecosystem-tests/vercel-edge/package.json
@@ -15,14 +15,14 @@
   },
   "dependencies": {
     "ai": "2.1.34",
-    "next": "13.4.6",
+    "next": "^14.2.25",
     "react": "18.2.0",
     "react-dom": "18.2.0"
   },
   "devDependencies": {
     "@types/node": "20.3.3",
-    "@types/react": "18.2.13",
-    "@types/react-dom": "18.2.6",
+    "@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",
diff --git a/ecosystem-tests/vercel-edge/src/uploadWebApiTestCases.ts b/ecosystem-tests/vercel-edge/src/uploadWebApiTestCases.ts
index 3f2c6b468..eb8be0030 100644
--- a/ecosystem-tests/vercel-edge/src/uploadWebApiTestCases.ts
+++ b/ecosystem-tests/vercel-edge/src/uploadWebApiTestCases.ts
@@ -180,4 +180,15 @@ export function uploadWebApiTestCases({
       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/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/azure.ts b/examples/azure.ts
deleted file mode 100755
index a903cfd6e..000000000
--- a/examples/azure.ts
+++ /dev/null
@@ -1,54 +0,0 @@
-#!/usr/bin/env -S npm run tsn -T
-
-import OpenAI from 'openai';
-
-// The name of your Azure OpenAI Resource.
-// https://learn.microsoft.com/en-us/azure/cognitive-services/openai/how-to/create-resource?pivots=web-portal#create-a-resource
-const resource = '<your resource name>';
-
-// Corresponds to your Model deployment within your OpenAI resource, e.g. my-gpt35-16k-deployment
-// Navigate to the Azure OpenAI Studio to deploy a model.
-const model = '<your model>';
-
-// https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#rest-api-versioning
-const apiVersion = '2023-06-01-preview';
-
-const apiKey = process.env['AZURE_OPENAI_API_KEY'];
-if (!apiKey) {
-  throw new Error('The AZURE_OPENAI_API_KEY environment variable is missing or empty.');
-}
-
-// Azure OpenAI requires a custom baseURL, api-version query param, and api-key header.
-const openai = new OpenAI({
-  apiKey,
-  baseURL: `https://${resource}.openai.azure.com/openai/deployments/${model}`,
-  defaultQuery: { 'api-version': apiVersion },
-  defaultHeaders: { 'api-key': apiKey },
-});
-
-async function main() {
-  console.log('Non-streaming:');
-  const result = await openai.chat.completions.create({
-    model,
-    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,
-    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/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/fine-tuning-data.jsonl b/examples/fine-tuning-data.jsonl
index 4eace9252..e9ab2679f 100644
--- a/examples/fine-tuning-data.jsonl
+++ b/examples/fine-tuning-data.jsonl
@@ -1,10 +1,10 @@
-{"messages": [{"role": "system", "content": "Marv 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": "Marv 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": "Marv 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": "Marv 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": "Marv 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": "Marv 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": "Marv 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": "Marv 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": "Marv 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": "Marv 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?"}]}
+{"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
index 379eb8fc4..412fc6ada 100755
--- a/examples/fine-tuning.ts
+++ b/examples/fine-tuning.ts
@@ -49,7 +49,7 @@ async function main() {
 
   const events: Record<string, FineTuningJobEvent> = {};
 
-  while (fineTune.status == 'running' || fineTune.status == 'created') {
+  while (fineTune.status == 'running' || fineTune.status == 'queued') {
     fineTune = await client.fineTuning.jobs.retrieve(fineTune.id);
     console.log(`${fineTune.status}`);
 
diff --git a/examples/logprobs.ts b/examples/logprobs.ts
index 5a4daf7de..8cf274a14 100755
--- a/examples/logprobs.ts
+++ b/examples/logprobs.ts
@@ -13,7 +13,7 @@ async function main() {
       stream: true,
       logprobs: true,
     })
-    .on('logprob', (logprob) => {
+    .on('logprobs.content.delta', (logprob) => {
       console.log(logprob);
     });
 
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": "Apache-2.0",
+      "dependencies": {
+        "@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"
+      },
+      "bin": {
+        "openai": "bin/cli"
+      },
+      "devDependencies": {
+        "@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",
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+      },
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+          "optional": true
+        },
+        "zod": {
+          "optional": true
+        }
+      }
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+      "dependencies": {
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+      },
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+      }
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+      "license": "MIT",
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+      "license": "MIT",
+      "engines": {
+        "node": ">=4",
+        "npm": ">=6"
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+        "client-only": "0.0.1"
+      },
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+        "node": ">= 12.0.0"
+      },
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+        "react": ">= 16.8.0 || 17.x.x || ^18.0.0-0"
+      },
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+        "@babel/core": {
+          "optional": true
+        },
+        "babel-plugin-macros": {
+          "optional": true
+        }
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+    },
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+      "license": "MIT",
+      "engines": {
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+      }
+    },
+    "node_modules/tslib": {
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+      "license": "0BSD"
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+        "mime-types": "~2.1.24"
+      },
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+      "dev": true,
+      "license": "MIT"
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+      "license": "MIT",
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+    "node_modules/utils-merge": {
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+      "license": "MIT",
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+    "node_modules/uuid": {
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+      "license": "MIT",
+      "bin": {
+        "uuid": "dist/bin/uuid"
+      }
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+      "license": "MIT",
+      "engines": {
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+    "node_modules/zod": {
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+      "license": "MIT",
+      "peer": true,
+      "funding": {
+        "url": "https://github.com/sponsors/colinhacks"
+      }
+    },
+    "node_modules/zod-to-json-schema": {
+      "version": "3.24.5",
+      "resolved": "https://registry.npmjs.org/zod-to-json-schema/-/zod-to-json-schema-3.24.5.tgz",
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+      "license": "ISC",
+      "peerDependencies": {
+        "zod": "^3.24.1"
+      }
+    }
+  }
+}
diff --git a/examples/package.json b/examples/package.json
index 3b27b221f..db01a2c10 100644
--- a/examples/package.json
+++ b/examples/package.json
@@ -6,13 +6,16 @@
   "license": "MIT",
   "private": true,
   "dependencies": {
+    "@azure/identity": "^4.2.0",
+    "dotenv": "^16.4.7",
     "express": "^4.18.2",
-    "next": "^13.5.5",
+    "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/express": "^4.17.19",
+    "@types/web": "^0.0.194"
   }
 }
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<typeof Query>;
+    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/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<void> {
+  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.ts b/examples/stream.ts
index f3b712e8e..86dbde8b8 100644
--- a/examples/stream.ts
+++ b/examples/stream.ts
@@ -5,7 +5,7 @@ import OpenAI from 'openai';
 const openai = new OpenAI();
 
 async function main() {
-  const runner = await openai.beta.chat.completions
+  const runner = openai.beta.chat.completions
     .stream({
       model: 'gpt-3.5-turbo',
       messages: [{ role: 'user', content: 'Say this is a test' }],
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<void> {
+  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
index e02c743be..700f401a6 100755
--- a/examples/tool-call-helpers-zod.ts
+++ b/examples/tool-call-helpers-zod.ts
@@ -36,7 +36,7 @@ async function getBook({ id }: GetParams) {
 }
 
 async function main() {
-  const runner = await openai.beta.chat.completions
+  const runner = openai.beta.chat.completions
     .runTools({
       model: 'gpt-4-1106-preview',
       stream: true,
diff --git a/examples/tool-calls-stream.ts b/examples/tool-calls-stream.ts
index 924e6b7cf..93f16a245 100755
--- a/examples/tool-calls-stream.ts
+++ b/examples/tool-calls-stream.ts
@@ -27,6 +27,9 @@ import {
   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();
 
@@ -126,6 +129,9 @@ async function main() {
     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);
@@ -184,7 +190,13 @@ function messageReducer(previous: ChatCompletionMessage, item: ChatCompletionChu
     }
     return acc;
   };
-  return reduce(previous, item.choices[0]!.delta) as ChatCompletionMessage;
+
+  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() {
diff --git a/examples/tsconfig.json b/examples/tsconfig.json
index 6c3477462..3c43903cf 100644
--- a/examples/tsconfig.json
+++ b/examples/tsconfig.json
@@ -1,3 +1,3 @@
 {
-	"extends": "../tsconfig.json"
+  "extends": "../tsconfig.json"
 }
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<UI>;
+  attributes: {
+    value: string;
+    name: string;
+  }[];
+}
+
+const UISchema: z.ZodType<UI> = 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
index 76423ee07..41b352e5e 100644
--- a/helpers.md
+++ b/helpers.md
@@ -1,6 +1,290 @@
-# Chat Completion Helpers
+# Structured Outputs Parsing Helpers
 
-## Streaming Responses
+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<typeof Query>;
+  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<Message[]>
+
+await .finalRunSteps(): Promise<RunStep[]>
+```
+
+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
@@ -18,47 +302,87 @@ If you need to cancel a stream, you can `break` from a `for await` loop or call
 
 See an example of streaming helpers in action in [`examples/stream.ts`](examples/stream.ts).
 
-## Automated Function Calls
+### Automated function calls
 
-```ts
-openai.chat.completions.runTools({ stream: false, … }, options?): ChatCompletionRunner
-openai.chat.completions.runTools({ stream: true, … }, options?): ChatCompletionStreamingRunner
-```
+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.
 
-`openai.chat.completions.runTools()` returns a Runner
-for automating function calls with chat completions.
-The runner automatically calls the JavaScript functions you provide and sends their results back
-to the API, looping as long as the model requests function 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 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
-client.chat.completions.runTools({
-  model: 'gpt-3.5-turbo',
-  messages: [{ role: 'user', content: 'How is the weather this week?' }],
-  tools: [
-    {
-      type: 'function',
-      function: {
-        function: getWeather as (args: { location: string; time: Date }) => any,
-        parse: parseFunction as (args: strings) => { location: string; time: Date },
-        parameters: {
-          type: 'object',
-          properties: {
-            location: { type: 'string' },
-            time: { type: 'string', format: 'date-time' },
+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!"
 ```
 
-If you pass `function_call: {name: …}` instead of `auto`, it returns immediately after calling that
-function (and only loops to auto-recover parsing errors).
+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
@@ -69,9 +393,7 @@ See an example of automated function calls in action in
 
 Note, `runFunctions` was also previously available, but has been deprecated in favor of `runTools`.
 
-## Runner API
-
-### Events
+### Chat Events
 
 #### `.on('connect', () => …)`
 
@@ -110,6 +432,69 @@ The event fired when a function call is made by the assistant.
 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<ParsedT>) => ...)`
+
+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
@@ -148,7 +533,7 @@ The event fired at the end, returning the total usage of the call.
 
 The last event fired in the stream.
 
-### Methods
+### Chat Methods
 
 #### `.abort()`
 
@@ -190,7 +575,7 @@ A promise which resolves with the last message with a `role: "function"`. Throws
 
 A promise which resolves with the total usage.
 
-### Fields
+### Chat Fields
 
 #### `.messages`
 
@@ -200,9 +585,9 @@ A mutable array of all messages in the conversation.
 
 The underlying `AbortController` for the runner.
 
-## Examples
+### Chat Examples
 
-### Abort on a function call
+#### 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()`.
@@ -238,7 +623,7 @@ async function main() {
 main();
 ```
 
-### Integrate with `zod`
+#### 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.
@@ -287,10 +672,45 @@ main();
 
 See a more fully-fledged example in [`examples/function-call-helpers-zod.ts`](examples/function-call-helpers-zod.ts).
 
-### Integrate with Next.JS
+#### 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
+#### 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/jest.config.ts b/jest.config.ts
index f746f4bf9..aa2853fd2 100644
--- a/jest.config.ts
+++ b/jest.config.ts
@@ -3,6 +3,9 @@ import type { JestConfigWithTsJest } from 'ts-jest';
 const config: JestConfigWithTsJest = {
   preset: 'ts-jest/presets/default-esm',
   testEnvironment: 'node',
+  transform: {
+    '^.+\\.(t|j)sx?$': ['@swc/jest', { sourceMaps: 'inline' }],
+  },
   moduleNameMapper: {
     '^openai$': '<rootDir>/src/index.ts',
     '^openai/_shims/auto/(.*)$': '<rootDir>/src/_shims/auto/$1-node',
@@ -14,6 +17,8 @@ const config: JestConfigWithTsJest = {
     '<rootDir>/deno/',
     '<rootDir>/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.json b/package.json
index 455c0d180..23205e569 100644
--- a/package.json
+++ b/package.json
@@ -1,6 +1,6 @@
 {
   "name": "openai",
-  "version": "4.28.3",
+  "version": "4.100.0",
   "description": "The official TypeScript library for the OpenAI API",
   "author": "OpenAI <support@openai.com>",
   "types": "dist/index.d.ts",
@@ -8,48 +8,52 @@
   "type": "commonjs",
   "repository": "github:openai/openai-node",
   "license": "Apache-2.0",
-  "packageManager": "yarn@1.22.21",
+  "packageManager": "yarn@1.22.22",
   "files": [
-    "*"
+    "**/*"
   ],
   "private": false,
   "scripts": {
-    "test": "bin/check-test-server && yarn jest",
-    "build": "bash ./build",
-    "prepack": "echo 'to pack, run yarn build && (cd dist; yarn pack)' && exit 1",
+    "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/check-is-in-git-install.sh; then npm run build; fi",
+    "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": "eslint --ext ts,js .",
-    "fix": "eslint --fix --ext ts,js ."
+    "lint": "./scripts/lint",
+    "fix": "./scripts/format"
   },
   "dependencies": {
     "@types/node": "^18.11.18",
     "@types/node-fetch": "^2.6.4",
     "abort-controller": "^3.0.0",
     "agentkeepalive": "^4.2.1",
-    "digest-fetch": "^1.3.0",
     "form-data-encoder": "1.7.2",
     "formdata-node": "^4.3.2",
-    "node-fetch": "^2.6.7",
-    "web-streams-polyfill": "^3.2.1"
+    "node-fetch": "^2.6.7"
   },
   "devDependencies": {
+    "@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-morph": "^19.0.0",
     "ts-node": "^10.5.0",
     "tsc-multi": "^1.1.0",
     "tsconfig-paths": "^4.0.0",
-    "typescript": "^4.8.2"
+    "typescript": "^4.8.2",
+    "ws": "^8.18.0",
+    "zod": "^3.23.8"
   },
   "sideEffects": [
     "./_shims/index.js",
@@ -121,5 +125,17 @@
       "default": "./dist/*.mjs"
     }
   },
-  "bin": "./bin/cli"
+  "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
index 37def5fe1..1aa2fb613 100644
--- a/release-please-config.json
+++ b/release-please-config.json
@@ -63,6 +63,10 @@
   "extra-files": [
     "src/version.ts",
     "README.md",
-    "build-deno"
+    {
+      "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/build b/scripts/build
similarity index 80%
rename from build
rename to scripts/build
index 85d5b4bc8..4e86f99e2 100755
--- a/build
+++ b/scripts/build
@@ -1,7 +1,10 @@
 #!/usr/bin/env bash
+
 set -exuo pipefail
 
-node scripts/check-version.cjs
+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 <package root>/resources/foo.js
@@ -22,17 +25,17 @@ if [ -e "bin/cli" ]; then
 fi
 # this converts the export map paths for the dist directory
 # and does a few other minor things
-node scripts/make-dist-package-json.cjs > dist/package.json
+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 Node to index.js;
+# 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/fix-index-exports.cjs
+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
@@ -40,14 +43,14 @@ node scripts/fix-index-exports.cjs
 cp dist/index.d.ts dist/index.d.mts
 cp tsconfig.dist-src.json dist/src/tsconfig.json
 
-node scripts/postprocess-files.cjs
+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 command -v deno &> /dev/null && [ -e ./build-deno ]
+if [ "${OPENAI_DISABLE_DENO_BUILD:-0}" != "1" ] && [ -e ./scripts/build-deno ]
 then
-  ./build-deno
+  ./scripts/build-deno
 fi
diff --git a/scripts/build-deno b/scripts/build-deno
new file mode 100755
index 000000000..bce31078e
--- /dev/null
+++ b/scripts/build-deno
@@ -0,0 +1,29 @@
+#!/usr/bin/env bash
+
+set -exuo pipefail
+
+cd "$(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/denoify.ts b/scripts/denoify.ts
deleted file mode 100644
index 9922b7bf8..000000000
--- a/scripts/denoify.ts
+++ /dev/null
@@ -1,229 +0,0 @@
-import path from 'path';
-import * as tm from 'ts-morph';
-import { name as pkgName } from '../package.json';
-import fs from 'fs';
-
-const rootDir = path.resolve(__dirname, '..');
-const denoDir = path.join(rootDir, 'deno');
-const tsConfigFilePath = path.join(rootDir, 'tsconfig.deno.json');
-
-async function denoify() {
-  const project = new tm.Project({ tsConfigFilePath });
-
-  for (const file of project.getSourceFiles()) {
-    if (!file.getFilePath().startsWith(denoDir + '/')) continue;
-
-    let addedBuffer = false,
-      addedProcess = false;
-    file.forEachDescendant((node) => {
-      switch (node.getKind()) {
-        case tm.ts.SyntaxKind.ExportDeclaration: {
-          const decl: tm.ExportDeclaration = node as any;
-          if (decl.isTypeOnly()) return;
-          for (const named of decl.getNamedExports()) {
-            // Convert `export { Foo } from './foo.ts'`
-            // to `export { type Foo } from './foo.ts'`
-            // if `./foo.ts` only exports types for `Foo`
-            if (!named.isTypeOnly() && !hasValueDeclarations(named)) {
-              named.replaceWithText(`type ${named.getText()}`);
-            }
-          }
-          break;
-        }
-        case tm.ts.SyntaxKind.ImportEqualsDeclaration: {
-          const decl: tm.ImportEqualsDeclaration = node as any;
-          if (decl.isTypeOnly()) return;
-
-          const ref = decl.getModuleReference();
-          if (!hasValueDeclarations(ref)) {
-            const params = isBuiltinType(ref.getType()) ? [] : ref.getType().getTypeArguments();
-            if (params.length) {
-              const paramsStr = params.map((p: tm.TypeParameter) => p.getText()).join(', ');
-              const bindingsStr = params
-                .map((p: tm.TypeParameter) => p.getSymbol()?.getName() || p.getText())
-                .join(', ');
-              decl.replaceWithText(
-                `export type ${decl.getName()}<${paramsStr}> = ${ref.getText()}<${bindingsStr}>`,
-              );
-            } else {
-              decl.replaceWithText(`export type ${decl.getName()} = ${ref.getText()}`);
-            }
-          }
-          break;
-        }
-        case tm.ts.SyntaxKind.Identifier: {
-          const id = node as tm.Identifier;
-          if (!addedBuffer && id.getText() === 'Buffer') {
-            addedBuffer = true;
-            file?.addVariableStatement({
-              declarations: [
-                {
-                  name: 'Buffer',
-                  type: 'any',
-                },
-              ],
-              hasDeclareKeyword: true,
-            });
-            file?.addTypeAlias({
-              name: 'Buffer',
-              type: 'any',
-            });
-          }
-          if (!addedProcess && id.getText() === 'process') {
-            addedProcess = true;
-            file?.addVariableStatement({
-              declarations: [
-                {
-                  name: 'process',
-                  type: 'any',
-                },
-              ],
-              hasDeclareKeyword: true,
-            });
-          }
-        }
-      }
-    });
-  }
-
-  await project.save();
-
-  for (const file of project.getSourceFiles()) {
-    if (!file.getFilePath().startsWith(denoDir + '/')) continue;
-    for (const decl of [...file.getImportDeclarations(), ...file.getExportDeclarations()]) {
-      const moduleSpecifier = decl.getModuleSpecifier();
-      if (!moduleSpecifier) continue;
-      let specifier = moduleSpecifier.getLiteralValue().replace(/^node:/, '');
-      if (!specifier || specifier.startsWith('http')) continue;
-
-      if (nodeStdModules.has(specifier)) {
-        // convert node builtins to deno.land/std
-        specifier = `https://deno.land/std@0.177.0/node/${specifier}.ts`;
-      } else if (specifier.startsWith(pkgName + '/')) {
-        // convert self-referencing module specifiers to relative paths
-        specifier = file.getRelativePathAsModuleSpecifierTo(denoDir + specifier.substring(pkgName.length));
-      } else if (specifier === 'qs') {
-        decl.replaceWithText(`import { qs } from "https://deno.land/x/deno_qs@0.0.1/mod.ts"`);
-        continue;
-      } else if (!decl.isModuleSpecifierRelative()) {
-        specifier = `npm:${specifier}`;
-      }
-
-      if (specifier.startsWith('./') || specifier.startsWith('../')) {
-        // there may be CJS directory module specifiers that implicitly resolve
-        // to /index.ts.  Add an explicit /index.ts to the end
-        const sourceFile = decl.getModuleSpecifierSourceFile();
-        if (sourceFile && /\/index\.ts$/.test(sourceFile.getFilePath()) && !/\/mod\.ts$/.test(specifier)) {
-          if (/\/index(\.ts)?$/.test(specifier)) {
-            specifier = specifier.replace(/\/index(\.ts)?$/, '/mod.ts');
-          } else {
-            specifier += '/mod.ts';
-          }
-        }
-        // add explicit .ts file extensions to relative module specifiers
-        specifier = specifier.replace(/(\.[^./]*)?$/, '.ts');
-      }
-      moduleSpecifier.replaceWithText(JSON.stringify(specifier));
-    }
-  }
-
-  await project.save();
-
-  await Promise.all(
-    project.getSourceFiles().map(async (f) => {
-      const filePath = f.getFilePath();
-      if (filePath.endsWith('index.ts')) {
-        const newPath = filePath.replace(/index\.ts$/, 'mod.ts');
-        await fs.promises.rename(filePath, newPath);
-      }
-    }),
-  );
-}
-
-const nodeStdModules = new Set([
-  'assert',
-  'assertion_error',
-  'async_hooks',
-  'buffer',
-  'child_process',
-  'cluster',
-  'console',
-  'constants',
-  'crypto',
-  'dgram',
-  'diagnostics_channel',
-  'dns',
-  'domain',
-  'events',
-  'fs',
-  'global',
-  'http',
-  'http2',
-  'https',
-  'inspector',
-  'module_all',
-  'module_esm',
-  'module',
-  'net',
-  'os',
-  'path',
-  'perf_hooks',
-  'process',
-  'punycode',
-  'querystring',
-  'readline',
-  'repl',
-  'stream',
-  'string_decoder',
-  'sys',
-  'timers',
-  'tls',
-  'tty',
-  'upstream_modules',
-  'url',
-  'util',
-  'v8',
-  'vm',
-  'wasi',
-  'worker_threads',
-  'zlib',
-]);
-
-const typeDeclarationKinds = new Set([
-  tm.ts.SyntaxKind.InterfaceDeclaration,
-  tm.ts.SyntaxKind.ModuleDeclaration,
-  tm.ts.SyntaxKind.TypeAliasDeclaration,
-]);
-
-const builtinTypeNames = new Set(['Array', 'Set', 'Map', 'Record', 'Promise']);
-
-function isBuiltinType(type: tm.Type): boolean {
-  const symbol = type.getSymbol();
-  return (
-    symbol != null &&
-    builtinTypeNames.has(symbol.getName()) &&
-    symbol.getDeclarations().some((d) => d.getSourceFile().getFilePath().includes('node_modules/typescript'))
-  );
-}
-
-function hasValueDeclarations(nodes?: tm.Node): boolean;
-function hasValueDeclarations(nodes?: tm.Node[]): boolean;
-function hasValueDeclarations(nodes?: tm.Node | tm.Node[]): boolean {
-  if (nodes && !Array.isArray(nodes)) {
-    return (
-      !isBuiltinType(nodes.getType()) && hasValueDeclarations(nodes.getType().getSymbol()?.getDeclarations())
-    );
-  }
-  return nodes ?
-      nodes.some((n) => {
-        const parent = n.getParent();
-        return (
-          !typeDeclarationKinds.has(n.getKind()) &&
-          // sometimes the node will be the right hand side of a type alias
-          (!parent || !typeDeclarationKinds.has(parent.getKind()))
-        );
-      })
-    : false;
-}
-
-denoify();
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 "$0")/.."
+
+echo "==> Running eslint --fix"
+ESLINT_USE_FLAT_CONFIG="false" ./node_modules/.bin/eslint --fix --ext ts,js .
diff --git a/scripts/git-publish-deno.sh b/scripts/git-publish-deno.sh
deleted file mode 100755
index 4098994f3..000000000
--- a/scripts/git-publish-deno.sh
+++ /dev/null
@@ -1,74 +0,0 @@
-#!/usr/bin/env bash
-set -exuo pipefail
-
-# This script pushes the contents of the `deno` directory to the `deno` branch,
-# and creates a `vx.x.x-deno` tag, so that Deno users can
-# import OpenAI from "https://raw.githubusercontent.com/openai/openai-node/vx.x.x-deno/mod.ts"
-
-# It's also possible to publish to deno.land.  You can do this by:
-# - Creating a separate GitHub repo
-# - Add the deno.land webhook to the repo as described at https://deno.com/add_module
-# - Set the following environment variables when running this script:
-#   - DENO_PUSH_REMOTE_URL - the remote url of the separate GitHub repo
-#   - DENO_PUSH_BRANCH - the branch you want to push to in that repo (probably `main`)
-#   - DENO_MAIN_BRANCH - the branch you want as the main branch in that repo (probably `main`, sometimes `master`)
-#   - DENO_PUSH_VERSION - defaults to version in package.json
-#   - DENO_PUSH_RELEASE_TAG - defaults to v$DENO_PUSH_VERSION-deno
-
-die () {
-  echo >&2 "$@"
-  exit 1
-}
-
-# Allow caller to set the following environment variables, but provide defaults
-# if unset
-# : "${FOO:=bar}" sets FOO=bar unless it's set and non-empty
-# https://stackoverflow.com/questions/307503/whats-a-concise-way-to-check-that-environment-variables-are-set-in-a-unix-shell
-# https://www.gnu.org/software/bash/manual/html_node/Shell-Parameter-Expansion.html
-
-: "${DENO_PUSH_VERSION:=$(node -p 'require("./package.json").version')}"
-: "${DENO_PUSH_BRANCH:=deno}"
-: "${DENO_MAIN_BRANCH:=main}"
-: "${DENO_PUSH_REMOTE_URL:=$(git remote get-url origin)}"
-: "${DENO_GIT_USER_NAME:="Stainless Bot"}"
-: "${DENO_GIT_USER_EMAIL:="bot@stainlessapi.com"}"
-if [[ $DENO_PUSH_BRANCH = "deno" ]]; then
-  : "${DENO_PUSH_RELEASE_TAG:="v$DENO_PUSH_VERSION-deno"}"
-else
-  : "${DENO_PUSH_RELEASE_TAG:="v$DENO_PUSH_VERSION"}"
-fi
-
-if [ ! -e deno ]; then ./build; fi
-
-# We want to commit and push a branch where everything inside the deno
-# directory is at root level in the branch.
-
-# We can do this by temporarily creating a git repository inside deno,
-# committing files to the branch, and pushing it to the remote.
-
-cd deno
-rm -rf .git
-git init -b "$DENO_MAIN_BRANCH"
-git remote add origin "$DENO_PUSH_REMOTE_URL"
-if git fetch origin "$DENO_PUSH_RELEASE_TAG"; then
-  die "Tag $DENO_PUSH_RELEASE_TAG already exists"
-fi
-if git fetch origin "$DENO_PUSH_BRANCH"; then
-  # the branch already exists on the remote; "check out" the branch without
-  # changing files in the working directory
-  git branch "$DENO_PUSH_BRANCH" -t origin/"$DENO_PUSH_BRANCH"
-  git symbolic-ref HEAD refs/heads/"$DENO_PUSH_BRANCH"
-  git reset
-else
-  # the branch doesn't exist on the remote yet
-  git checkout -b "$DENO_PUSH_BRANCH"
-fi
-
-git config user.email "$DENO_GIT_USER_EMAIL"
-git config user.name "$DENO_GIT_USER_NAME"
-
-git add .
-git commit -m "chore(deno): release $DENO_PUSH_VERSION"
-git tag -a "$DENO_PUSH_RELEASE_TAG" -m "release $DENO_PUSH_VERSION"
-git push --tags --set-upstream origin "$DENO_PUSH_BRANCH"
-rm -rf .git
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 "$@"
diff --git a/scripts/check-is-in-git-install.sh b/scripts/utils/check-is-in-git-install.sh
similarity index 95%
rename from scripts/check-is-in-git-install.sh
rename to scripts/utils/check-is-in-git-install.sh
index 36bcedc20..1354eb432 100755
--- a/scripts/check-is-in-git-install.sh
+++ b/scripts/utils/check-is-in-git-install.sh
@@ -1,4 +1,4 @@
-#!/bin/bash
+#!/usr/bin/env bash
 # Check if you happen to call prepare for a repository that's already in node_modules.
 [ "$(basename "$(dirname "$PWD")")" = 'node_modules' ] ||
 # The name of the containing directory that 'npm` uses, which looks like
diff --git a/scripts/check-version.cjs b/scripts/utils/check-version.cjs
similarity index 82%
rename from scripts/check-version.cjs
rename to scripts/utils/check-version.cjs
index 50a85669e..86c56dfd3 100644
--- a/scripts/check-version.cjs
+++ b/scripts/utils/check-version.cjs
@@ -2,14 +2,14 @@ const fs = require('fs');
 const path = require('path');
 
 const main = () => {
-  const pkg = require('../package.json');
+  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 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);
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/fix-index-exports.cjs b/scripts/utils/fix-index-exports.cjs
similarity index 66%
rename from scripts/fix-index-exports.cjs
rename to scripts/utils/fix-index-exports.cjs
index b61b2ea33..ee5cebb85 100644
--- a/scripts/fix-index-exports.cjs
+++ b/scripts/utils/fix-index-exports.cjs
@@ -4,11 +4,11 @@ const path = require('path');
 const indexJs =
   process.env['DIST_PATH'] ?
     path.resolve(process.env['DIST_PATH'], 'index.js')
-  : path.resolve(__dirname, '..', 'dist', '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;\nexports.default = $1',
+  '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/make-dist-package-json.cjs b/scripts/utils/make-dist-package-json.cjs
similarity index 87%
rename from scripts/make-dist-package-json.cjs
rename to scripts/utils/make-dist-package-json.cjs
index d4a0a69b3..7c24f56e2 100644
--- a/scripts/make-dist-package-json.cjs
+++ b/scripts/utils/make-dist-package-json.cjs
@@ -1,4 +1,4 @@
-const pkgJson = require(process.env['PKG_JSON_PATH'] || '../package.json');
+const pkgJson = require(process.env['PKG_JSON_PATH'] || '../../package.json');
 
 function processExportMap(m) {
   for (const key in m) {
diff --git a/scripts/postprocess-files.cjs b/scripts/utils/postprocess-files.cjs
similarity index 97%
rename from scripts/postprocess-files.cjs
rename to scripts/utils/postprocess-files.cjs
index 8fd9ec8db..c46a46d07 100644
--- a/scripts/postprocess-files.cjs
+++ b/scripts/utils/postprocess-files.cjs
@@ -2,12 +2,12 @@ const fs = require('fs');
 const path = require('path');
 const { parse } = require('@typescript-eslint/parser');
 
-const pkgImportPath = process.env['PKG_IMPORT_PATH'] ?? 'openai/'
+const pkgImportPath = process.env['PKG_IMPORT_PATH'] ?? 'openai/';
 
 const distDir =
   process.env['DIST_PATH'] ?
     path.resolve(process.env['DIST_PATH'])
-  : path.resolve(__dirname, '..', 'dist');
+  : path.resolve(__dirname, '..', '..', 'dist');
 const distSrcDir = path.join(distDir, 'src');
 
 /**
@@ -103,7 +103,7 @@ async function* walk(dir) {
 }
 
 async function postprocess() {
-  for await (const file of walk(path.resolve(__dirname, '..', 'dist'))) {
+  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');
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/index-deno.ts b/src/_shims/index-deno.ts
index d9eabb5a9..e83c7a6d3 100644
--- a/src/_shims/index-deno.ts
+++ b/src/_shims/index-deno.ts
@@ -108,3 +108,5 @@ export declare class FsReadStream extends Readable {
 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
index d867b293b..107cf7fd6 100644
--- a/src/_shims/index.d.ts
+++ b/src/_shims/index.d.ts
@@ -79,3 +79,5 @@ export function fileFromPath(path: string, options?: FileFromPathOptions): Promi
 export function fileFromPath(path: string, filename?: string, options?: FileFromPathOptions): Promise<File>;
 
 export function isFsReadStream(value: any): value is FsReadStream;
+
+export const init: () => void;
diff --git a/src/_shims/index.js b/src/_shims/index.js
index b5fc8229e..959f2b9ce 100644
--- a/src/_shims/index.js
+++ b/src/_shims/index.js
@@ -3,7 +3,9 @@
  */
 const shims = require('./registry');
 const auto = require('openai/_shims/auto/runtime');
-if (!shims.kind) shims.setShims(auto.getRuntime(), { auto: true });
+exports.init = () => {
+  if (!shims.kind) shims.setShims(auto.getRuntime(), { auto: true });
+};
 for (const property of Object.keys(shims)) {
   Object.defineProperty(exports, property, {
     get() {
@@ -11,3 +13,5 @@ for (const property of Object.keys(shims)) {
     },
   });
 }
+
+exports.init();
diff --git a/src/_shims/index.mjs b/src/_shims/index.mjs
index 81665e610..26d7a716c 100644
--- a/src/_shims/index.mjs
+++ b/src/_shims/index.mjs
@@ -3,5 +3,9 @@
  */
 import * as shims from './registry.mjs';
 import * as auto from 'openai/_shims/auto/runtime';
-if (!shims.kind) shims.setShims(auto.getRuntime(), { auto: true });
+export const init = () => {
+  if (!shims.kind) shims.setShims(auto.getRuntime(), { auto: true });
+};
 export * from './registry.mjs';
+
+init();
diff --git a/src/_shims/node-runtime.ts b/src/_shims/node-runtime.ts
index a9c42ebeb..ab9f2ab5c 100644
--- a/src/_shims/node-runtime.ts
+++ b/src/_shims/node-runtime.ts
@@ -13,9 +13,7 @@ import { Readable } from 'node:stream';
 import { type RequestOptions } from '../core';
 import { MultipartBody } from './MultipartBody';
 import { type Shims } from './registry';
-
-// @ts-ignore (this package does not have proper export maps for this export)
-import { ReadableStream } from 'web-streams-polyfill/dist/ponyfill.es2018.js';
+import { ReadableStream } from 'node:stream/web';
 
 type FileFromPathOptions = Omit<FilePropertyBag, 'lastModified'>;
 
diff --git a/src/_shims/node-types.d.ts b/src/_shims/node-types.d.ts
index b31698f78..c159e5fa7 100644
--- a/src/_shims/node-types.d.ts
+++ b/src/_shims/node-types.d.ts
@@ -7,7 +7,7 @@ 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 'web-streams-polyfill';
+export { ReadableStream } from 'node:stream/web';
 
 export const fetch: typeof nf.default;
 
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<string, any> = {};
+    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<Target extends Targets = 'jsonSchema7'> = {
+  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<string, ZodSchema | ZodTypeDef>;
+  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<Options, 'definitions' | 'basePath'> = {
+  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 = <Target extends Targets>(
+  options: Partial<Options<Target>> | 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<Target>;
+};
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<ZodTypeDef, Seen>;
+  /**
+   * 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<string>;
+  currentPath: string[];
+  propertyPath: string[] | undefined;
+} & Options<Targets>;
+
+export type Seen = {
+  def: ZodTypeDef;
+  path: string[];
+  jsonSchema: JsonSchema7Type | undefined;
+};
+
+export const getRefs = (options?: string | Partial<Options<Targets>>): 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<T extends JsonSchema7TypeUnion, OmitProperties extends string = ''> = Partial<
+  Omit<{ [key in keyof T]: string }, OmitProperties | 'type' | 'errorMessages'>
+>;
+
+export function addErrorMessage<T extends { errorMessage?: ErrorMessages<any> }>(
+  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<Json7Type>;
+  },
+  Key extends keyof Omit<Json7Type, 'errorMessage'>,
+>(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<JsonSchema7ArrayType, 'items'>;
+};
+
+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<JsonSchema7BigintType>;
+};
+
+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<any>, 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<any>, 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<JsonSchema7NumberType>;
+    }
+  | {
+      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<JsonSchema7AllOfType, 'unevaluatedProperties'> | 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<JsonSchema7NumberType>;
+};
+
+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<string, JsonSchema7Type>;
+  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<string, JsonSchema7Type>;
+          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<any, any>,
+  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<any>, 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<JsonSchema7StringType, 'type'>
+  | Omit<JsonSchema7EnumType, 'type'>;
+
+export type JsonSchema7RecordType = {
+  type: 'object';
+  additionalProperties: JsonSchema7Type;
+  propertyNames?: JsonSchema7RecordPropertyNamesType;
+};
+
+export function parseRecordDef(
+  def: ZodRecordDef<ZodTypeAny, ZodTypeAny> | 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<string, JsonSchema7Type>, 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<JsonSchema7SetType>;
+};
+
+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<JsonSchema7StringType>;
+  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<JsonSchema7StringType>['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 ${refs.currentPath.join(
+        '/',
+      )} to a flag-independent form! Falling back to the flag-ignorant source`,
+    );
+    return regex.source;
+  }
+
+  return pattern;
+};
diff --git a/src/_vendor/zod-to-json-schema/parsers/tuple.ts b/src/_vendor/zod-to-json-schema/parsers/tuple.ts
new file mode 100644
index 000000000..b2a824006
--- /dev/null
+++ b/src/_vendor/zod-to-json-schema/parsers/tuple.ts
@@ -0,0 +1,54 @@
+import { ZodTupleDef, ZodTupleItems, ZodTypeAny } from 'zod';
+import { JsonSchema7Type, parseDef } from '../parseDef';
+import { Refs } from '../Refs';
+
+export type JsonSchema7TupleType = {
+  type: 'array';
+  minItems: number;
+  items: JsonSchema7Type[];
+} & (
+  | {
+      maxItems: number;
+    }
+  | {
+      additionalItems?: JsonSchema7Type | undefined;
+    }
+);
+
+export function parseTupleDef(
+  def: ZodTupleDef<ZodTupleItems | [], ZodTypeAny | null>,
+  refs: Refs,
+): JsonSchema7TupleType {
+  if (def.rest) {
+    return {
+      type: 'array',
+      minItems: def.items.length,
+      items: def.items
+        .map((x, i) =>
+          parseDef(x._def, {
+            ...refs,
+            currentPath: [...refs.currentPath, 'items', `${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<any, any>,
+  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<any, any>,
+  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 = <Target extends Targets = 'jsonSchema7'>(
+  schema: ZodSchema<any>,
+  options?: Partial<Options<Target>> | 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<string, any> = {};
+    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<typeof zodToJsonSchema<Target>> =
+    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<T> = { [KeyType in keyof T]: T[KeyType] } & {};
+
+type RealtimeEvents = Simplify<
+  {
+    event: (event: RealtimeServerEvent) => void;
+    error: (error: OpenAIRealtimeError) => void;
+  } & {
+    [EventType in Exclude<RealtimeServerEvent['type'], 'error'>]: (
+      event: Extract<RealtimeServerEvent, { type: EventType }>,
+    ) => unknown;
+  }
+>;
+
+export abstract class OpenAIRealtimeEmitter extends EventEmitter<RealtimeEvents> {
+  /**
+   * 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<OpenAI, 'apiKey' | 'baseURL'>): client is AzureOpenAI {
+  return client instanceof AzureOpenAI;
+}
+
+export function buildRealtimeURL(client: Pick<OpenAI, 'apiKey' | 'baseURL'>, 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<ws>
+  : 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<OpenAI, 'apiKey' | 'baseURL'>,
+  ) {
+    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', '<REDACTED>');
+      } else {
+        this.url.searchParams.set('api-key', '<REDACTED>');
+      }
+    }
+  }
+
+  static async azure(
+    client: Pick<AzureOpenAI, '_getAzureADToken' | 'apiVersion' | 'apiKey' | 'baseURL' | 'deploymentName'>,
+    options: { deploymentName?: string; dangerouslyAllowBrowser?: boolean } = {},
+  ): Promise<OpenAIRealtimeWebSocket> {
+    const token = await client._getAzureADToken();
+    function onURL(url: URL) {
+      if (client.apiKey !== '<Missing Key>') {
+        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<OpenAI, 'apiKey' | 'baseURL'>,
+  ) {
+    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<AzureOpenAI, '_getAzureADToken' | 'apiVersion' | 'apiKey' | 'baseURL' | 'deploymentName'>,
+    options: { deploymentName?: string; options?: WS.ClientOptions | undefined } = {},
+  ): Promise<OpenAIRealtimeWS> {
+    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<AzureOpenAI, '_getAzureADToken' | 'apiKey'>) {
+  if (client.apiKey !== '<Missing Key>') {
+    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
index a94251808..cfd4eeaa6 100644
--- a/src/core.ts
+++ b/src/core.ts
@@ -17,9 +17,14 @@ import {
   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 { isMultipartBody } from './uploads';
+import { BlobLike, isBlobLike, isMultipartBody } from './uploads';
 export {
   maybeMultipartFormRequestOptions,
   multipartFormRequestOptions,
@@ -29,6 +34,20 @@ export {
 
 export type Fetch = (url: RequestInfo, init?: RequestInit) => Promise<Response>;
 
+/**
+ * An alias to the builtin `Array` type so we can
+ * easily alias it in import statements if there are name clashes.
+ */
+type _Array<T> = Array<T>;
+
+/**
+ * An alias to the builtin `Record` type so we can
+ * easily alias it in import statements if there are name clashes.
+ */
+type _Record<K extends keyof any, T> = Record<K, T>;
+
+export type { _Array as Array, _Record as Record };
+
 type PromiseOrValue<T> = T | Promise<T>;
 
 type APIResponseProps = {
@@ -37,7 +56,7 @@ type APIResponseProps = {
   controller: AbortController;
 };
 
-async function defaultParseResponse<T>(props: APIResponseProps): Promise<T> {
+async function defaultParseResponse<T>(props: APIResponseProps): Promise<WithRequestID<T>> {
   const { response } = props;
   if (props.options.stream) {
     debug('response', response.status, response.url, response.headers, response.body);
@@ -54,41 +73,59 @@ async function defaultParseResponse<T>(props: APIResponseProps): Promise<T> {
 
   // fetch refuses to read the body when the status code is 204.
   if (response.status === 204) {
-    return null as T;
+    return null as WithRequestID<T>;
   }
 
   if (props.options.__binaryResponse) {
-    return response as unknown as T;
+    return response as unknown as WithRequestID<T>;
   }
 
   const contentType = response.headers.get('content-type');
-  const isJSON =
-    contentType?.includes('application/json') || contentType?.includes('application/vnd.api+json');
+  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 json as T;
+    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 T;
+  return text as unknown as WithRequestID<T>;
+}
+
+type WithRequestID<T> =
+  T extends Array<any> | Response | AbstractPage<any> ? T
+  : T extends Record<string, any> ? T & { _request_id?: string | null }
+  : T;
+
+function _addRequestID<T>(value: T, response: Response): WithRequestID<T> {
+  if (!value || typeof value !== 'object' || Array.isArray(value)) {
+    return value as WithRequestID<T>;
+  }
+
+  return Object.defineProperty(value, '_request_id', {
+    value: response.headers.get('x-request-id'),
+    enumerable: false,
+  }) as WithRequestID<T>;
 }
 
 /**
  * A subclass of `Promise` providing additional helper methods
  * for interacting with the SDK.
  */
-export class APIPromise<T> extends Promise<T> {
-  private parsedPromise: Promise<T> | undefined;
+export class APIPromise<T> extends Promise<WithRequestID<T>> {
+  private parsedPromise: Promise<WithRequestID<T>> | undefined;
 
   constructor(
     private responsePromise: Promise<APIResponseProps>,
-    private parseResponse: (props: APIResponseProps) => PromiseOrValue<T> = defaultParseResponse,
+    private parseResponse: (
+      props: APIResponseProps,
+    ) => PromiseOrValue<WithRequestID<T>> = defaultParseResponse,
   ) {
     super((resolve) => {
       // this is maybe a bit weird but this has to be a no-op to not implicitly
@@ -98,8 +135,10 @@ export class APIPromise<T> extends Promise<T> {
     });
   }
 
-  _thenUnwrap<U>(transform: (data: T) => U): APIPromise<U> {
-    return new APIPromise(this.responsePromise, async (props) => transform(await this.parseResponse(props)));
+  _thenUnwrap<U>(transform: (data: T, props: APIResponseProps) => U): APIPromise<U> {
+    return new APIPromise(this.responsePromise, async (props) =>
+      _addRequestID(transform(await this.parseResponse(props), props), props.response),
+    );
   }
 
   /**
@@ -118,8 +157,11 @@ export class APIPromise<T> extends Promise<T> {
   asResponse(): Promise<Response> {
     return this.responsePromise.then((p) => p.response);
   }
+
   /**
-   * Gets the parsed response data and the raw `Response` instance.
+   * 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()}.
@@ -131,20 +173,20 @@ export class APIPromise<T> extends Promise<T> {
    * - `import 'openai/shims/node'` (if you're running on Node)
    * - `import 'openai/shims/web'` (otherwise)
    */
-  async withResponse(): Promise<{ data: T; response: Response }> {
+  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 };
+    return { data, response, request_id: response.headers.get('x-request-id') };
   }
 
-  private parse(): Promise<T> {
+  private parse(): Promise<WithRequestID<T>> {
     if (!this.parsedPromise) {
-      this.parsedPromise = this.responsePromise.then(this.parseResponse);
+      this.parsedPromise = this.responsePromise.then(this.parseResponse) as any as Promise<WithRequestID<T>>;
     }
     return this.parsedPromise;
   }
 
-  override then<TResult1 = T, TResult2 = never>(
-    onfulfilled?: ((value: T) => TResult1 | PromiseLike<TResult1>) | undefined | null,
+  override then<TResult1 = WithRequestID<T>, TResult2 = never>(
+    onfulfilled?: ((value: WithRequestID<T>) => TResult1 | PromiseLike<TResult1>) | undefined | null,
     onrejected?: ((reason: any) => TResult2 | PromiseLike<TResult2>) | undefined | null,
   ): Promise<TResult1 | TResult2> {
     return this.parse().then(onfulfilled, onrejected);
@@ -152,11 +194,11 @@ export class APIPromise<T> extends Promise<T> {
 
   override catch<TResult = never>(
     onrejected?: ((reason: any) => TResult | PromiseLike<TResult>) | undefined | null,
-  ): Promise<T | TResult> {
+  ): Promise<WithRequestID<T> | TResult> {
     return this.parse().catch(onrejected);
   }
 
-  override finally(onfinally?: (() => void) | undefined | null): Promise<T> {
+  override finally(onfinally?: (() => void) | undefined | null): Promise<WithRequestID<T>> {
     return this.parse().finally(onfinally);
   }
 }
@@ -175,7 +217,7 @@ export abstract class APIClient {
     maxRetries = 2,
     timeout = 600000, // 10 minutes
     httpAgent,
-    fetch: overridenFetch,
+    fetch: overriddenFetch,
   }: {
     baseURL: string;
     maxRetries?: number | undefined;
@@ -188,7 +230,7 @@ export abstract class APIClient {
     this.timeout = validatePositiveInteger('timeout', timeout);
     this.httpAgent = httpAgent;
 
-    this.fetch = overridenFetch ?? fetch;
+    this.fetch = overriddenFetch ?? fetch;
   }
 
   protected authHeaders(opts: FinalRequestOptions): Headers {
@@ -249,7 +291,17 @@ export abstract class APIClient {
     path: string,
     opts?: PromiseOrValue<RequestOptions<Req>>,
   ): APIPromise<Rsp> {
-    return this.request(Promise.resolve(opts).then((opts) => ({ method, path, ...opts })));
+    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<Item, PageClass extends AbstractPage<Item> = AbstractPage<Item>>(
@@ -271,25 +323,33 @@ export abstract class APIClient {
         const encoded = encoder.encode(body);
         return encoded.length.toString();
       }
+    } else if (ArrayBuffer.isView(body)) {
+      return body.byteLength.toString();
     }
 
     return null;
   }
 
-  buildRequest<Req>(options: FinalRequestOptions<Req>): { req: RequestInit; url: string; timeout: number } {
+  buildRequest<Req>(
+    inputOptions: FinalRequestOptions<Req>,
+    { retryCount = 0 }: { retryCount?: number } = {},
+  ): { req: RequestInit; url: string; timeout: number } {
+    const options = { ...inputOptions };
     const { method, path, query, headers: headers = {} } = options;
 
     const body =
-      isMultipartBody(options.body) ? options.body.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);
-    const timeout = options.timeout ?? this.timeout;
+    options.timeout = options.timeout ?? this.timeout;
     const httpAgent = options.httpAgent ?? this.httpAgent ?? getDefaultAgent(url);
-    const minAgentTimeout = timeout + 1000;
+    const minAgentTimeout = options.timeout + 1000;
     if (
       typeof (httpAgent as any)?.options?.timeout === 'number' &&
       minAgentTimeout > ((httpAgent as any).options.timeout ?? 0)
@@ -302,11 +362,11 @@ export abstract class APIClient {
     }
 
     if (this.idempotencyHeader && method !== 'get') {
-      if (!options.idempotencyKey) options.idempotencyKey = this.defaultIdempotencyKey();
-      headers[this.idempotencyHeader] = options.idempotencyKey;
+      if (!inputOptions.idempotencyKey) inputOptions.idempotencyKey = this.defaultIdempotencyKey();
+      headers[this.idempotencyHeader] = inputOptions.idempotencyKey;
     }
 
-    const reqHeaders = this.buildHeaders({ options, headers, contentLength });
+    const reqHeaders = this.buildHeaders({ options, headers, contentLength, retryCount });
 
     const req: RequestInit = {
       method,
@@ -318,17 +378,19 @@ export abstract class APIClient {
       signal: options.signal ?? null,
     };
 
-    return { req, url, timeout };
+    return { req, url, timeout: options.timeout };
   }
 
   private buildHeaders({
     options,
     headers,
     contentLength,
+    retryCount,
   }: {
     options: FinalRequestOptions;
     headers: Record<string, string | null | undefined>;
     contentLength: string | null | undefined;
+    retryCount: number;
   }): Record<string, string> {
     const reqHeaders: Record<string, string> = {};
     if (contentLength) {
@@ -344,6 +406,23 @@ export abstract class APIClient {
       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;
@@ -370,7 +449,7 @@ export abstract class APIClient {
       !headers ? {}
       : Symbol.iterator in headers ?
         Object.fromEntries(Array.from(headers as Iterable<string[]>).map((header) => [...header]))
-      : { ...headers }
+      : { ...(headers as any as Record<string, string>) }
     );
   }
 
@@ -379,7 +458,7 @@ export abstract class APIClient {
     error: Object | undefined,
     message: string | undefined,
     headers: Headers | undefined,
-  ) {
+  ): APIError {
     return APIError.generate(status, error, message, headers);
   }
 
@@ -395,13 +474,14 @@ export abstract class APIClient {
     retriesRemaining: number | null,
   ): Promise<APIResponseProps> {
     const options = await optionsInput;
+    const maxRetries = options.maxRetries ?? this.maxRetries;
     if (retriesRemaining == null) {
-      retriesRemaining = options.maxRetries ?? this.maxRetries;
+      retriesRemaining = maxRetries;
     }
 
     await this.prepareOptions(options);
 
-    const { req, url, timeout } = this.buildRequest(options);
+    const { req, url, timeout } = this.buildRequest(options, { retryCount: maxRetries - retriesRemaining });
 
     await this.prepareRequest(req, { url, options });
 
@@ -504,20 +584,24 @@ export abstract class APIClient {
 
     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 (
-      this.getRequestClient()
-        // use undefined this binding; fetch errors if bound to something else in browser/cloudflare
-        .fetch.call(undefined, url, { signal: controller.signal as any, ...options })
-        .finally(() => {
-          clearTimeout(timeout);
-        })
+      // use undefined this binding; fetch errors if bound to something else in browser/cloudflare
+      this.fetch.call(undefined, url, fetchOptions).finally(() => {
+        clearTimeout(timeout);
+      })
     );
   }
 
-  protected getRequestClient(): RequestClient {
-    return { fetch: this.fetch };
-  }
-
   private shouldRetry(response: Response): boolean {
     // Note this is not a standard header.
     const shouldRetryHeader = response.headers.get('x-should-retry');
@@ -650,9 +734,9 @@ export abstract class AbstractPage<Item> implements AsyncIterable<Item> {
     return await this.#client.requestAPIList(this.constructor as any, nextOptions);
   }
 
-  async *iterPages() {
+  async *iterPages(): AsyncGenerator<this> {
     // eslint-disable-next-line @typescript-eslint/no-this-alias
-    let page: AbstractPage<Item> = this;
+    let page: this = this;
     yield page;
     while (page.hasNextPage()) {
       page = await page.getNextPage();
@@ -660,7 +744,7 @@ export abstract class AbstractPage<Item> implements AsyncIterable<Item> {
     }
   }
 
-  async *[Symbol.asyncIterator]() {
+  async *[Symbol.asyncIterator](): AsyncGenerator<Item> {
     for await (const page of this.iterPages()) {
       for (const item of page.getPaginatedItems()) {
         yield item;
@@ -692,7 +776,13 @@ export class PagePromise<
   ) {
     super(
       request,
-      async (props) => new Page(client, props.response, await defaultParseResponse(props), props.options),
+      async (props) =>
+        new Page(
+          client,
+          props.response,
+          await defaultParseResponse(props),
+          props.options,
+        ) as WithRequestID<PageClass>,
     );
   }
 
@@ -703,7 +793,7 @@ export class PagePromise<
    *      console.log(item)
    *    }
    */
-  async *[Symbol.asyncIterator]() {
+  async *[Symbol.asyncIterator](): AsyncGenerator<Item> {
     const page = await this;
     for await (const item of page) {
       yield item;
@@ -735,7 +825,9 @@ export type Headers = Record<string, string | null | undefined>;
 export type DefaultQuery = Record<string, string | undefined>;
 export type KeysEnum<T> = { [P in keyof Required<T>]: true };
 
-export type RequestOptions<Req = unknown | Record<string, unknown> | Readable> = {
+export type RequestOptions<
+  Req = unknown | Record<string, unknown> | Readable | BlobLike | ArrayBufferView | ArrayBuffer,
+> = {
   method?: HTTPMethod;
   path?: string;
   query?: Req | undefined;
@@ -749,6 +841,8 @@ export type RequestOptions<Req = unknown | Record<string, unknown> | Readable> =
   signal?: AbortSignal | undefined | null;
   idempotencyKey?: string;
 
+  __metadata?: Record<string, unknown>;
+  __binaryRequest?: boolean | undefined;
   __binaryResponse?: boolean | undefined;
   __streamClass?: typeof Stream;
 };
@@ -770,6 +864,8 @@ const requestOptionsKeys: KeysEnum<RequestOptions> = {
   signal: true,
   idempotencyKey: true,
 
+  __metadata: true,
+  __binaryRequest: true,
   __binaryResponse: true,
   __streamClass: true,
 };
@@ -783,10 +879,11 @@ export const isRequestOptions = (obj: unknown): obj is RequestOptions => {
   );
 };
 
-export type FinalRequestOptions<Req = unknown | Record<string, unknown> | Readable> = RequestOptions<Req> & {
-  method: HTTPMethod;
-  path: string;
-};
+export type FinalRequestOptions<Req = unknown | Record<string, unknown> | Readable | DataView> =
+  RequestOptions<Req> & {
+    method: HTTPMethod;
+    path: string;
+  };
 
 declare const Deno: any;
 declare const EdgeRuntime: any;
@@ -818,7 +915,8 @@ const getPlatformProperties = (): PlatformProperties => {
       'X-Stainless-OS': normalizePlatform(Deno.build.os),
       'X-Stainless-Arch': normalizeArch(Deno.build.arch),
       'X-Stainless-Runtime': 'deno',
-      'X-Stainless-Runtime-Version': Deno.version,
+      'X-Stainless-Runtime-Version':
+        typeof Deno.version === 'string' ? Deno.version : Deno.version?.deno ?? 'unknown',
     };
   }
   if (typeof EdgeRuntime !== 'undefined') {
@@ -954,8 +1052,8 @@ export const safeJSON = (text: string) => {
   }
 };
 
-// https://stackoverflow.com/a/19709846
-const startsWithSchemeRegexp = new RegExp('^(?:[a-z]+:)?//', 'i');
+// 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);
 };
@@ -974,6 +1072,11 @@ const validatePositiveInteger = (name: string, n: unknown): number => {
 
 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);
 };
 
@@ -1074,9 +1177,43 @@ function applyHeadersMut(targetHeaders: Headers, newHeaders: Headers): void {
   }
 }
 
+const SENSITIVE_HEADERS = new Set(['authorization', 'api-key']);
+
 export function debug(action: string, ...args: any[]) {
-  if (typeof process !== 'undefined' && process.env['DEBUG'] === 'true') {
-    console.log(`OpenAI:DEBUG:${action}`, ...args);
+  if (typeof process !== 'undefined' && process?.env?.['DEBUG'] === 'true') {
+    const modifiedArgs = args.map((arg) => {
+      if (!arg) {
+        return arg;
+      }
+
+      // Check for sensitive headers in request body 'headers' object
+      if (arg['headers']) {
+        // clone so we don't mutate
+        const modifiedArg = { ...arg, headers: { ...arg['headers'] } };
+
+        for (const header in arg['headers']) {
+          if (SENSITIVE_HEADERS.has(header.toLowerCase())) {
+            modifiedArg['headers'][header] = 'REDACTED';
+          }
+        }
+
+        return modifiedArg;
+      }
+
+      let modifiedArg = null;
+
+      // Check for sensitive headers in headers object
+      for (const header in arg) {
+        if (SENSITIVE_HEADERS.has(header.toLowerCase())) {
+          // avoid making a copy until we need to
+          modifiedArg ??= { ...arg };
+          modifiedArg[header] = 'REDACTED';
+        }
+      }
+
+      return modifiedArg ?? arg;
+    });
+    console.log(`OpenAI:DEBUG:${action}`, ...modifiedArgs);
   }
 }
 
@@ -1111,7 +1248,15 @@ export const isHeadersProtocol = (headers: any): headers is HeadersProtocol => {
   return typeof headers?.get === 'function';
 };
 
-export const getRequiredHeader = (headers: HeadersLike, header: string): string => {
+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
@@ -1137,7 +1282,7 @@ export const getRequiredHeader = (headers: HeadersLike, header: string): string
     }
   }
 
-  throw new Error(`Could not find ${header} header`);
+  return undefined;
 };
 
 /**
@@ -1156,6 +1301,30 @@ export const toBase64 = (str: string | null | undefined): string => {
   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<number> => {
+  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<string, unknown> {
   return obj != null && typeof obj === 'object' && !Array.isArray(obj);
 }
diff --git a/src/error.ts b/src/error.ts
index fd7477ad2..f3dc57610 100644
--- a/src/error.ts
+++ b/src/error.ts
@@ -1,30 +1,35 @@
-// File generated from our OpenAPI spec by Stainless.
+// 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 extends OpenAIError {
-  readonly status: number | undefined;
-  readonly headers: Headers | undefined;
-  readonly error: Object | undefined;
+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;
 
-  constructor(
-    status: number | undefined,
-    error: Object | undefined,
-    message: string | undefined,
-    headers: Headers | 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<string, any>;
-    this.error = data;
     this.code = data?.['code'];
     this.param = data?.['param'];
     this.type = data?.['type'];
@@ -56,9 +61,9 @@ export class APIError extends OpenAIError {
     errorResponse: Object | undefined,
     message: string | undefined,
     headers: Headers | undefined,
-  ) {
-    if (!status) {
-      return new APIConnectionError({ cause: castToError(errorResponse) });
+  ): APIError {
+    if (!status || !headers) {
+      return new APIConnectionError({ message, cause: castToError(errorResponse) });
     }
 
     const error = (errorResponse as Record<string, any>)?.['error'];
@@ -99,18 +104,14 @@ export class APIError extends OpenAIError {
   }
 }
 
-export class APIUserAbortError extends APIError {
-  override readonly status: undefined = undefined;
-
+export class APIUserAbortError extends APIError<undefined, undefined, undefined> {
   constructor({ message }: { message?: string } = {}) {
     super(undefined, undefined, message || 'Request was aborted.', undefined);
   }
 }
 
-export class APIConnectionError extends APIError {
-  override readonly status: undefined = undefined;
-
-  constructor({ message, cause }: { message?: string; cause?: Error | undefined }) {
+export class APIConnectionError extends APIError<undefined, undefined, undefined> {
+  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
@@ -124,32 +125,30 @@ export class APIConnectionTimeoutError extends APIConnectionError {
   }
 }
 
-export class BadRequestError extends APIError {
-  override readonly status: 400 = 400;
-}
+export class BadRequestError extends APIError<400, Headers> {}
 
-export class AuthenticationError extends APIError {
-  override readonly status: 401 = 401;
-}
+export class AuthenticationError extends APIError<401, Headers> {}
 
-export class PermissionDeniedError extends APIError {
-  override readonly status: 403 = 403;
-}
+export class PermissionDeniedError extends APIError<403, Headers> {}
 
-export class NotFoundError extends APIError {
-  override readonly status: 404 = 404;
-}
+export class NotFoundError extends APIError<404, Headers> {}
 
-export class ConflictError extends APIError {
-  override readonly status: 409 = 409;
-}
+export class ConflictError extends APIError<409, Headers> {}
 
-export class UnprocessableEntityError extends APIError {
-  override readonly status: 422 = 422;
-}
+export class UnprocessableEntityError extends APIError<422, Headers> {}
+
+export class RateLimitError extends APIError<429, Headers> {}
 
-export class RateLimitError extends APIError {
-  override readonly status: 429 = 429;
+export class InternalServerError extends APIError<number, Headers> {}
+
+export class LengthFinishReasonError extends OpenAIError {
+  constructor() {
+    super(`Could not parse response content as the length limit was reached`);
+  }
 }
 
-export class InternalServerError extends APIError {}
+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<NodeJS.Platform, string> = {
+  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<void> {
+  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 ${code}`));
+        }
+        resolve();
+      });
+    } catch (error) {
+      reject(error);
+    }
+  });
+}
+
+export async function playAudio(input: NodeJS.ReadableStream | Response | File): Promise<void> {
+  if (isNode) {
+    return nodejsPlayAudio(input);
+  }
+
+  throw new Error(
+    'Play audio is not supported in the browser yet. Check out https://npm.im/wavtools as an alternative.',
+  );
+}
+
+type RecordAudioOptions = {
+  signal?: AbortSignal;
+  device?: number;
+  timeout?: number;
+};
+
+function nodejsRecordAudio({ signal, device, timeout }: RecordAudioOptions = {}): Promise<File> {
+  return new Promise((resolve, reject) => {
+    const data: any[] = [];
+    const provider = recordingProviders[platform];
+    try {
+      const ffmpeg = spawn(
+        'ffmpeg',
+        [
+          '-f',
+          provider,
+          '-i',
+          `:${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<string, unknown> {
+  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<ZodInput extends ZodType>(
+  zodObject: ZodInput,
+  name: string,
+  props?: Omit<ResponseFormatJSONSchema.JSONSchema, 'schema' | 'strict' | 'name'>,
+): AutoParseableResponseFormat<zodInfer<ZodInput>> {
+  return makeParseableResponseFormat(
+    {
+      type: 'json_schema',
+      json_schema: {
+        ...props,
+        name,
+        strict: true,
+        schema: zodToJsonSchema(zodObject, { name }),
+      },
+    },
+    (content) => zodObject.parse(JSON.parse(content)),
+  );
+}
+
+export function zodTextFormat<ZodInput extends ZodType>(
+  zodObject: ZodInput,
+  name: string,
+  props?: Omit<ResponseFormatTextJSONSchemaConfig, 'schema' | 'type' | 'strict' | 'name'>,
+): AutoParseableTextFormat<zodInfer<ZodInput>> {
+  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<Parameters extends ZodType>(options: {
+  name: string;
+  parameters: Parameters;
+  function?: ((args: zodInfer<Parameters>) => unknown | Promise<unknown>) | undefined;
+  description?: string | undefined;
+}): AutoParseableTool<{
+  arguments: Parameters;
+  name: string;
+  function: (args: zodInfer<Parameters>) => unknown;
+}> {
+  // @ts-expect-error TODO
+  return makeParseableTool<any>(
+    {
+      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<Parameters extends ZodType>(options: {
+  name: string;
+  parameters: Parameters;
+  function?: ((args: zodInfer<Parameters>) => unknown | Promise<unknown>) | undefined;
+  description?: string | undefined;
+}): AutoParseableResponseTool<{
+  arguments: Parameters;
+  name: string;
+  function: (args: zodInfer<Parameters>) => unknown;
+}> {
+  return makeParseableResponseTool<any>(
+    {
+      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
index 80bf95b0d..537c18f43 100644
--- a/src/index.ts
+++ b/src/index.ts
@@ -1,11 +1,152 @@
-// File generated from our OpenAPI spec by Stainless.
+// 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 { type Agent } from './_shims/index';
+import * as Pagination from './pagination';
+import { type CursorPageParams, CursorPageResponse, PageResponse } from './pagination';
 import * as Uploads from './uploads';
-import * as Pagination from 'openai/pagination';
-import * as API from 'openai/resources/index';
+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 {
   /**
@@ -18,6 +159,11 @@ export interface ClientOptions {
    */
   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/"
    *
@@ -32,7 +178,7 @@ export interface ClientOptions {
    * 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;
+  timeout?: number | undefined;
 
   /**
    * An HTTP agent used to manage HTTP(S) connections.
@@ -40,7 +186,7 @@ export interface ClientOptions {
    * If not provided, an agent will be constructed by default in the Node.js environment,
    * otherwise no agent is used.
    */
-  httpAgent?: Agent;
+  httpAgent?: Agent | undefined;
 
   /**
    * Specify a custom `fetch` function implementation.
@@ -56,7 +202,7 @@ export interface ClientOptions {
    *
    * @default 2
    */
-  maxRetries?: number;
+  maxRetries?: number | undefined;
 
   /**
    * Default headers to include with every request to the API.
@@ -64,7 +210,7 @@ export interface ClientOptions {
    * These can be removed in individual requests by explicitly setting the
    * header to `undefined` or `null` in request options.
    */
-  defaultHeaders?: Core.Headers;
+  defaultHeaders?: Core.Headers | undefined;
 
   /**
    * Default query parameters to include with every request to the API.
@@ -72,19 +218,22 @@ export interface ClientOptions {
    * These can be removed in individual requests by explicitly setting the
    * param to `undefined` in request options.
    */
-  defaultQuery?: Core.DefaultQuery;
+  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;
+  dangerouslyAllowBrowser?: boolean | undefined;
 }
 
-/** API Client for interfacing with the OpenAI API. */
+/**
+ * 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;
 
@@ -93,6 +242,7 @@ export class OpenAI extends Core.APIClient {
    *
    * @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.
@@ -106,6 +256,7 @@ export class OpenAI extends Core.APIClient {
     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) {
@@ -117,6 +268,7 @@ export class OpenAI extends Core.APIClient {
     const options: ClientOptions = {
       apiKey,
       organization,
+      project,
       ...opts,
       baseURL: baseURL || `https://api.openai.com/v1`,
     };
@@ -134,10 +286,12 @@ export class OpenAI extends Core.APIClient {
       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);
@@ -149,7 +303,13 @@ export class OpenAI extends Core.APIClient {
   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;
@@ -159,6 +319,7 @@ export class OpenAI extends Core.APIClient {
     return {
       ...super.defaultHeaders(opts),
       'OpenAI-Organization': this.organization,
+      'OpenAI-Project': this.project,
       ...this._options.defaultHeaders,
     };
   }
@@ -167,7 +328,12 @@ export class OpenAI extends Core.APIClient {
     return { Authorization: `Bearer ${this.apiKey}` };
   }
 
+  protected override stringifyQuery(query: Record<string, unknown>): string {
+    return qs.stringify(query, { arrayFormat: 'brackets' });
+  }
+
   static OpenAI = this;
+  static DEFAULT_TIMEOUT = 600000; // 10 minutes
 
   static OpenAIError = Errors.OpenAIError;
   static APIError = Errors.APIError;
@@ -182,9 +348,416 @@ export class OpenAI extends Core.APIClient {
   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;
 }
 
-export const {
+// ---------------------- 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<string>) | undefined;
+}
+
+/** API Client for interfacing with the Azure OpenAI API. */
+export class AzureOpenAI extends OpenAI {
+  private _azureADTokenProvider: (() => Promise<string>) | 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 = `${endpoint}/openai`;
+    } else {
+      if (endpoint) {
+        throw new Errors.OpenAIError('baseURL and endpoint are mutually exclusive');
+      }
+    }
+
+    super({
+      apiKey,
+      baseURL,
+      ...opts,
+      ...(dangerouslyAllowBrowser !== undefined ? { dangerouslyAllowBrowser } : {}),
+    });
+
+    this._azureADTokenProvider = azureADTokenProvider;
+    this.apiVersion = apiVersion;
+    this.deploymentName = deployment;
+  }
+
+  override buildRequest(
+    options: Core.FinalRequestOptions<unknown>,
+    props: { retryCount?: number } = {},
+  ): {
+    req: RequestInit;
+    url: string;
+    timeout: number;
+  } {
+    if (_deployments_endpoints.has(options.path) && options.method === 'post' && options.body !== undefined) {
+      if (!Core.isObj(options.body)) {
+        throw new Error('Expected request body to be an object');
+      }
+      const model = this.deploymentName || options.body['model'] || options.__metadata?.['model'];
+      if (model !== undefined && !this.baseURL.includes('/deployments')) {
+        options.path = `/deployments/${model}${options.path}`;
+      }
+    }
+    return super.buildRequest(options, props);
+  }
+
+  async _getAzureADToken(): Promise<string | undefined> {
+    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<unknown>): Promise<void> {
+    /**
+     * 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 = '<Missing Key>';
+
+// ---------------------- End Azure ----------------------
+
+export { toFile, fileFromPath } from './uploads';
+export {
   OpenAIError,
   APIError,
   APIConnectionError,
@@ -198,95 +771,6 @@ export const {
   InternalServerError,
   PermissionDeniedError,
   UnprocessableEntityError,
-} = Errors;
-
-export import toFile = Uploads.toFile;
-export import fileFromPath = Uploads.fileFromPath;
-
-export namespace OpenAI {
-  // Helper functions
-  export import toFile = Uploads.toFile;
-  export import fileFromPath = Uploads.fileFromPath;
-
-  export import RequestOptions = Core.RequestOptions;
-
-  export import Page = Pagination.Page;
-  export import PageResponse = Pagination.PageResponse;
-
-  export import CursorPage = Pagination.CursorPage;
-  export import CursorPageParams = Pagination.CursorPageParams;
-  export import CursorPageResponse = Pagination.CursorPageResponse;
-
-  export import Completions = API.Completions;
-  export import Completion = API.Completion;
-  export import CompletionChoice = API.CompletionChoice;
-  export import CompletionUsage = API.CompletionUsage;
-  export import CompletionCreateParams = API.CompletionCreateParams;
-  export import CompletionCreateParamsNonStreaming = API.CompletionCreateParamsNonStreaming;
-  export import CompletionCreateParamsStreaming = API.CompletionCreateParamsStreaming;
-
-  export import Chat = API.Chat;
-  export import ChatCompletion = API.ChatCompletion;
-  export import ChatCompletionAssistantMessageParam = API.ChatCompletionAssistantMessageParam;
-  export import ChatCompletionChunk = API.ChatCompletionChunk;
-  export import ChatCompletionContentPart = API.ChatCompletionContentPart;
-  export import ChatCompletionContentPartImage = API.ChatCompletionContentPartImage;
-  export import ChatCompletionContentPartText = API.ChatCompletionContentPartText;
-  export import ChatCompletionFunctionCallOption = API.ChatCompletionFunctionCallOption;
-  export import ChatCompletionFunctionMessageParam = API.ChatCompletionFunctionMessageParam;
-  export import ChatCompletionMessage = API.ChatCompletionMessage;
-  export import ChatCompletionMessageParam = API.ChatCompletionMessageParam;
-  export import ChatCompletionMessageToolCall = API.ChatCompletionMessageToolCall;
-  export import ChatCompletionNamedToolChoice = API.ChatCompletionNamedToolChoice;
-  export import ChatCompletionRole = API.ChatCompletionRole;
-  export import ChatCompletionSystemMessageParam = API.ChatCompletionSystemMessageParam;
-  export import ChatCompletionTokenLogprob = API.ChatCompletionTokenLogprob;
-  export import ChatCompletionTool = API.ChatCompletionTool;
-  export import ChatCompletionToolChoiceOption = API.ChatCompletionToolChoiceOption;
-  export import ChatCompletionToolMessageParam = API.ChatCompletionToolMessageParam;
-  export import ChatCompletionUserMessageParam = API.ChatCompletionUserMessageParam;
-  export import ChatCompletionCreateParams = API.ChatCompletionCreateParams;
-  export import ChatCompletionCreateParamsNonStreaming = API.ChatCompletionCreateParamsNonStreaming;
-  export import ChatCompletionCreateParamsStreaming = API.ChatCompletionCreateParamsStreaming;
-
-  export import Embeddings = API.Embeddings;
-  export import CreateEmbeddingResponse = API.CreateEmbeddingResponse;
-  export import Embedding = API.Embedding;
-  export import EmbeddingCreateParams = API.EmbeddingCreateParams;
-
-  export import Files = API.Files;
-  export import FileContent = API.FileContent;
-  export import FileDeleted = API.FileDeleted;
-  export import FileObject = API.FileObject;
-  export import FileObjectsPage = API.FileObjectsPage;
-  export import FileCreateParams = API.FileCreateParams;
-  export import FileListParams = API.FileListParams;
-
-  export import Images = API.Images;
-  export import Image = API.Image;
-  export import ImagesResponse = API.ImagesResponse;
-  export import ImageCreateVariationParams = API.ImageCreateVariationParams;
-  export import ImageEditParams = API.ImageEditParams;
-  export import ImageGenerateParams = API.ImageGenerateParams;
-
-  export import Audio = API.Audio;
-
-  export import Moderations = API.Moderations;
-  export import Moderation = API.Moderation;
-  export import ModerationCreateResponse = API.ModerationCreateResponse;
-  export import ModerationCreateParams = API.ModerationCreateParams;
-
-  export import Models = API.Models;
-  export import Model = API.Model;
-  export import ModelDeleted = API.ModelDeleted;
-  export import ModelsPage = API.ModelsPage;
-
-  export import FineTuning = API.FineTuning;
-
-  export import Beta = API.Beta;
-
-  export import FunctionDefinition = API.FunctionDefinition;
-  export import FunctionParameters = API.FunctionParameters;
-}
+} 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<Format, (str: PropertyKey) => 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<StringifyOptions & { formatter: (typeof formatters)['RFC1738'] }>;
+
+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<any, any>,
+) {
+  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<Omit<StringifyOptions, 'indices'>> & { 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('&#10003;'), 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<PropertyKey> | ((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<T> = {
+  [K in keyof T]-?: Exclude<T[K], undefined | null>;
+};
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<T extends Record<string, any>>(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<T>(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<T>(stream: any): AsyncIterableIterator<T> {
+  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/AbstractChatCompletionRunner.ts b/src/lib/AbstractChatCompletionRunner.ts
index 8a8f4670d..406f5a431 100644
--- a/src/lib/AbstractChatCompletionRunner.ts
+++ b/src/lib/AbstractChatCompletionRunner.ts
@@ -1,18 +1,18 @@
-import * as Core from 'openai/core';
-import { type CompletionUsage } from 'openai/resources/completions';
+import * as Core from '../core';
+import { type CompletionUsage } from '../resources/completions';
 import {
-  type Completions,
   type ChatCompletion,
   type ChatCompletionMessage,
   type ChatCompletionMessageParam,
   type ChatCompletionCreateParams,
   type ChatCompletionTool,
-} from 'openai/resources/chat/completions';
-import { APIUserAbortError, OpenAIError } from 'openai/error';
+} from '../resources/chat/completions';
+import { OpenAIError } from '../error';
 import {
   type RunnableFunction,
   isRunnableFunctionWithParse,
   type BaseFunctionsArgs,
+  RunnableToolFunction,
 } from './RunnableFunction';
 import { ChatCompletionFunctionRunnerParams, ChatCompletionToolRunnerParams } from './ChatCompletionRunner';
 import {
@@ -20,6 +20,10 @@ import {
   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 {
@@ -27,60 +31,17 @@ export interface RunnerOptions extends Core.RequestOptions {
   maxChatCompletions?: number;
 }
 
-export abstract class AbstractChatCompletionRunner<
-  Events extends CustomEvents<any> = AbstractChatCompletionRunnerEvents,
-> {
-  controller: AbortController = new AbortController();
-
-  #connectedPromise: Promise<void>;
-  #resolveConnectedPromise: () => void = () => {};
-  #rejectConnectedPromise: (error: OpenAIError) => void = () => {};
-
-  #endPromise: Promise<void>;
-  #resolveEndPromise: () => void = () => {};
-  #rejectEndPromise: (error: OpenAIError) => void = () => {};
-
-  #listeners: { [Event in keyof Events]?: ListenersForEvent<Events, Event> } = {};
-
-  protected _chatCompletions: ChatCompletion[] = [];
+export class AbstractChatCompletionRunner<
+  EventTypes extends AbstractChatCompletionRunnerEvents,
+  ParsedT,
+> extends EventStream<EventTypes> {
+  protected _chatCompletions: ParsedChatCompletion<ParsedT>[] = [];
   messages: ChatCompletionMessageParam[] = [];
 
-  #ended = false;
-  #errored = false;
-  #aborted = false;
-  #catchingPromiseCreated = false;
-
-  constructor() {
-    this.#connectedPromise = new Promise<void>((resolve, reject) => {
-      this.#resolveConnectedPromise = resolve;
-      this.#rejectConnectedPromise = reject;
-    });
-
-    this.#endPromise = new Promise<void>((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(executor: () => Promise<any>) {
-    // 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);
-    }, 0);
-  }
-
-  protected _addChatCompletion(chatCompletion: ChatCompletion): ChatCompletion {
+  protected _addChatCompletion(
+    this: AbstractChatCompletionRunner<AbstractChatCompletionRunnerEvents, ParsedT>,
+    chatCompletion: ParsedChatCompletion<ParsedT>,
+  ): ParsedChatCompletion<ParsedT> {
     this._chatCompletions.push(chatCompletion);
     this._emit('chatCompletion', chatCompletion);
     const message = chatCompletion.choices[0]?.message;
@@ -88,7 +49,11 @@ export abstract class AbstractChatCompletionRunner<
     return chatCompletion;
   }
 
-  protected _addMessage(message: ChatCompletionMessageParam, emit = true) {
+  protected _addMessage(
+    this: AbstractChatCompletionRunner<AbstractChatCompletionRunnerEvents, ParsedT>,
+    message: ChatCompletionMessageParam,
+    emit = true,
+  ) {
     if (!('content' in message)) message.content = null;
 
     this.messages.push(message);
@@ -110,104 +75,11 @@ export abstract class AbstractChatCompletionRunner<
     }
   }
 
-  protected _connected() {
-    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 extends keyof Events>(event: Event, listener: ListenerForEvent<Events, Event>): this {
-    const listeners: ListenersForEvent<Events, Event> =
-      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 extends keyof Events>(event: Event, listener: ListenerForEvent<Events, Event>): 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 extends keyof Events>(event: Event, listener: ListenerForEvent<Events, Event>): this {
-    const listeners: ListenersForEvent<Events, Event> =
-      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 extends keyof Events>(
-    event: Event,
-  ): Promise<
-    EventParameters<Events, Event> extends [infer Param] ? Param
-    : EventParameters<Events, Event> extends [] ? void
-    : EventParameters<Events, Event>
-  > {
-    return new Promise((resolve, reject) => {
-      this.#catchingPromiseCreated = true;
-      if (event !== 'error') this.once('error', reject);
-      this.once(event, resolve as any);
-    });
-  }
-
-  async done(): Promise<void> {
-    this.#catchingPromiseCreated = true;
-    await this.#endPromise;
-  }
-
   /**
    * @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<ChatCompletion> {
+  async finalChatCompletion(): Promise<ParsedChatCompletion<ParsedT>> {
     await this.done();
     const completion = this._chatCompletions[this._chatCompletions.length - 1];
     if (!completion) throw new OpenAIError('stream ended without producing a ChatCompletion');
@@ -232,7 +104,18 @@ export abstract class AbstractChatCompletionRunner<
     while (i-- > 0) {
       const message = this.messages[i];
       if (isAssistantMessage(message)) {
-        return { ...message, content: message.content ?? null };
+        const { function_call, ...rest } = message;
+
+        // TODO: support audio here
+        const ret: Omit<ChatCompletionMessage, 'audio'> = {
+          ...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');
@@ -279,6 +162,7 @@ export abstract class AbstractChatCompletionRunner<
       if (
         isToolMessage(message) &&
         message.content != null &&
+        typeof message.content === 'string' &&
         this.messages.some(
           (x) =>
             x.role === 'assistant' &&
@@ -322,75 +206,9 @@ export abstract class AbstractChatCompletionRunner<
     return [...this._chatCompletions];
   }
 
-  #handleError = (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)));
-  };
-
-  protected _emit<Event extends keyof Events>(event: Event, ...args: EventParameters<Events, Event>) {
-    // make sure we don't emit any events after end
-    if (this.#ended) {
-      return;
-    }
-
-    if (event === 'end') {
-      this.#ended = true;
-      this.#resolveEndPromise();
-    }
-
-    const listeners: ListenersForEvent<Events, Event> | undefined = this.#listeners[event];
-    if (listeners) {
-      this.#listeners[event] = listeners.filter((l) => !l.once) as any;
-      listeners.forEach(({ listener }: any) => listener(...args));
-    }
-
-    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() {
+  protected override _emitFinal(
+    this: AbstractChatCompletionRunner<AbstractChatCompletionRunnerEvents, ParsedT>,
+  ) {
     const completion = this._chatCompletions[this._chatCompletions.length - 1];
     if (completion) this._emit('finalChatCompletion', completion);
     const finalMessage = this.#getFinalMessage();
@@ -418,10 +236,10 @@ export abstract class AbstractChatCompletionRunner<
   }
 
   protected async _createChatCompletion(
-    completions: Completions,
+    client: OpenAI,
     params: ChatCompletionCreateParams,
     options?: Core.RequestOptions,
-  ): Promise<ChatCompletion> {
+  ): Promise<ParsedChatCompletion<ParsedT>> {
     const signal = options?.signal;
     if (signal) {
       if (signal.aborted) this.controller.abort();
@@ -429,27 +247,27 @@ export abstract class AbstractChatCompletionRunner<
     }
     this.#validateParams(params);
 
-    const chatCompletion = await completions.create(
+    const chatCompletion = await client.chat.completions.create(
       { ...params, stream: false },
       { ...options, signal: this.controller.signal },
     );
     this._connected();
-    return this._addChatCompletion(chatCompletion);
+    return this._addChatCompletion(parseChatCompletion(chatCompletion, params));
   }
 
   protected async _runChatCompletion(
-    completions: Completions,
+    client: OpenAI,
     params: ChatCompletionCreateParams,
     options?: Core.RequestOptions,
   ): Promise<ChatCompletion> {
     for (const message of params.messages) {
       this._addMessage(message, false);
     }
-    return await this._createChatCompletion(completions, params, options);
+    return await this._createChatCompletion(client, params, options);
   }
 
   protected async _runFunctions<FunctionsArgs extends BaseFunctionsArgs>(
-    completions: Completions,
+    client: OpenAI,
     params:
       | ChatCompletionFunctionRunnerParams<FunctionsArgs>
       | ChatCompletionStreamingFunctionRunnerParams<FunctionsArgs>,
@@ -479,7 +297,7 @@ export abstract class AbstractChatCompletionRunner<
 
     for (let i = 0; i < maxChatCompletions; ++i) {
       const chatCompletion: ChatCompletion = await this._createChatCompletion(
-        completions,
+        client,
         {
           ...restParams,
           function_call,
@@ -534,7 +352,7 @@ export abstract class AbstractChatCompletionRunner<
   }
 
   protected async _runTools<FunctionsArgs extends BaseFunctionsArgs>(
-    completions: Completions,
+    client: OpenAI,
     params:
       | ChatCompletionToolRunnerParams<FunctionsArgs>
       | ChatCompletionStreamingToolRunnerParams<FunctionsArgs>,
@@ -545,8 +363,31 @@ export abstract class AbstractChatCompletionRunner<
     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<any> => {
+      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<any>;
+    });
+
     const functionsByName: Record<string, RunnableFunction<any>> = {};
-    for (const f of params.tools) {
+    for (const f of inputTools) {
       if (f.type === 'function') {
         functionsByName[f.function.name || f.function.function.name] = f.function;
       }
@@ -554,7 +395,7 @@ export abstract class AbstractChatCompletionRunner<
 
     const tools: ChatCompletionTool[] =
       'tools' in params ?
-        params.tools.map((t) =>
+        inputTools.map((t) =>
           t.type === 'function' ?
             {
               type: 'function',
@@ -562,6 +403,7 @@ export abstract class AbstractChatCompletionRunner<
                 name: t.function.name || t.function.function.name,
                 parameters: t.function.parameters as Record<string, unknown>,
                 description: t.function.description,
+                strict: t.function.strict,
               },
             }
           : (t as unknown as ChatCompletionTool),
@@ -574,7 +416,7 @@ export abstract class AbstractChatCompletionRunner<
 
     for (let i = 0; i < maxChatCompletions; ++i) {
       const chatCompletion: ChatCompletion = await this._createChatCompletion(
-        completions,
+        client,
         {
           ...restParams,
           tool_choice,
@@ -587,7 +429,7 @@ export abstract class AbstractChatCompletionRunner<
       if (!message) {
         throw new OpenAIError(`missing message in ChatCompletion response`);
       }
-      if (!message.tool_calls) {
+      if (!message.tool_calls?.length) {
         return;
       }
 
@@ -598,8 +440,10 @@ export abstract class AbstractChatCompletionRunner<
         const fn = functionsByName[name];
 
         if (!fn) {
-          const content = `Invalid tool_call: ${JSON.stringify(name)}. Available options are: ${tools
-            .map((f) => JSON.stringify(f.function.name))
+          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 });
@@ -645,27 +489,7 @@ export abstract class AbstractChatCompletionRunner<
   }
 }
 
-type CustomEvents<Event extends string> = {
-  [k in Event]: k extends keyof AbstractChatCompletionRunnerEvents ? AbstractChatCompletionRunnerEvents[k]
-  : (...args: any[]) => void;
-};
-
-type ListenerForEvent<Events extends CustomEvents<any>, Event extends keyof Events> = Event extends (
-  keyof AbstractChatCompletionRunnerEvents
-) ?
-  AbstractChatCompletionRunnerEvents[Event]
-: Events[Event];
-
-type ListenersForEvent<Events extends CustomEvents<any>, Event extends keyof Events> = Array<{
-  listener: ListenerForEvent<Events, Event>;
-  once?: boolean;
-}>;
-type EventParameters<Events extends CustomEvents<any>, Event extends keyof Events> = Parameters<
-  ListenerForEvent<Events, Event>
->;
-
-export interface AbstractChatCompletionRunnerEvents {
-  connect: () => void;
+export interface AbstractChatCompletionRunnerEvents extends BaseEvents {
   functionCall: (functionCall: ChatCompletionMessage.FunctionCall) => void;
   message: (message: ChatCompletionMessageParam) => void;
   chatCompletion: (completion: ChatCompletion) => void;
@@ -675,8 +499,5 @@ export interface AbstractChatCompletionRunnerEvents {
   finalFunctionCall: (functionCall: ChatCompletionMessage.FunctionCall) => void;
   functionCallResult: (content: string) => void;
   finalFunctionCallResult: (content: string) => void;
-  error: (error: OpenAIError) => void;
-  abort: (error: APIUserAbortError) => void;
-  end: () => 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<ThreadCreateAndRunParamsBase, 'stream'> & {
+  stream?: true;
+};
+
+export type RunCreateParamsBaseStream = Omit<RunCreateParamsBase, 'stream'> & {
+  stream?: true;
+};
+
+export type RunSubmitToolOutputsParamsStream = Omit<RunSubmitToolOutputsParamsBase, 'stream'> & {
+  stream?: true;
+};
+
+export class AssistantStream
+  extends EventStream<AssistantStreamEvents>
+  implements AsyncIterable<AssistantStreamEvent>
+{
+  //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<AssistantStreamEvent> {
+    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<IteratorResult<AssistantStreamEvent>> => {
+        if (!pushQueue.length) {
+          if (done) {
+            return { value: undefined, done: true };
+          }
+          return new Promise<AssistantStreamEvent | undefined>((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<Run> {
+    const signal = options?.signal;
+    if (signal) {
+      if (signal.aborted) this.controller.abort();
+      signal.addEventListener('abort', () => this.controller.abort());
+    }
+    this._connected();
+    const stream = Stream.fromReadableStream<AssistantStreamEvent>(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<Run> {
+    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<Runs.RunStep[]> {
+    await this.done();
+
+    return Object.values(this.#runStepSnapshots);
+  }
+
+  async finalMessages(): Promise<Message[]> {
+    await this.done();
+
+    return Object.values(this.#messageSnapshots);
+  }
+
+  async finalRun(): Promise<Run> {
+    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<Run> {
+    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<Run> {
+    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<any, any>, contentElement) as
+      | TextContentBlock
+      | ImageFileContentBlock;
+  }
+
+  static accumulateDelta(acc: Record<string, any>, delta: Record<string, any>): Record<string, any> {
+    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<string, any>, deltaValue as Record<string, any>);
+      } 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<Run> {
+    return await this._createThreadAssistantStream(thread, params, options);
+  }
+
+  protected async _runAssistantStream(
+    threadId: string,
+    runs: Runs,
+    params: RunCreateParamsBase,
+    options?: Core.RequestOptions,
+  ): Promise<Run> {
+    return await this._createAssistantStream(runs, threadId, params, options);
+  }
+
+  protected async _runToolAssistantStream(
+    threadId: string,
+    runId: string,
+    runs: Runs,
+    params: RunSubmitToolOutputsParamsStream,
+    options?: Core.RequestOptions,
+  ): Promise<Run> {
+    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
index a110f0192..9e68e6671 100644
--- a/src/lib/ChatCompletionRunner.ts
+++ b/src/lib/ChatCompletionRunner.ts
@@ -1,8 +1,7 @@
 import {
-  type Completions,
   type ChatCompletionMessageParam,
   type ChatCompletionCreateParamsNonStreaming,
-} from 'openai/resources/chat/completions';
+} from '../resources/chat/completions';
 import { type RunnableFunctions, type BaseFunctionsArgs, RunnableTools } from './RunnableFunction';
 import {
   AbstractChatCompletionRunner,
@@ -10,6 +9,8 @@ import {
   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;
@@ -26,41 +27,48 @@ export type ChatCompletionToolRunnerParams<FunctionsArgs extends BaseFunctionsAr
   ChatCompletionCreateParamsNonStreaming,
   'tools'
 > & {
-  tools: RunnableTools<FunctionsArgs>;
+  tools: RunnableTools<FunctionsArgs> | AutoParseableTool<any, true>[];
 };
 
-export class ChatCompletionRunner extends AbstractChatCompletionRunner<ChatCompletionRunnerEvents> {
+export class ChatCompletionRunner<ParsedT = null> extends AbstractChatCompletionRunner<
+  ChatCompletionRunnerEvents,
+  ParsedT
+> {
   /** @deprecated - please use `runTools` instead. */
   static runFunctions(
-    completions: Completions,
+    client: OpenAI,
     params: ChatCompletionFunctionRunnerParams<any[]>,
     options?: RunnerOptions,
-  ): ChatCompletionRunner {
+  ): ChatCompletionRunner<null> {
     const runner = new ChatCompletionRunner();
     const opts = {
       ...options,
       headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'runFunctions' },
     };
-    runner._run(() => runner._runFunctions(completions, params, opts));
+    runner._run(() => runner._runFunctions(client, params, opts));
     return runner;
   }
 
-  static runTools(
-    completions: Completions,
+  static runTools<ParsedT>(
+    client: OpenAI,
     params: ChatCompletionToolRunnerParams<any[]>,
     options?: RunnerOptions,
-  ): ChatCompletionRunner {
-    const runner = new ChatCompletionRunner();
+  ): ChatCompletionRunner<ParsedT> {
+    const runner = new ChatCompletionRunner<ParsedT>();
     const opts = {
       ...options,
       headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'runTools' },
     };
-    runner._run(() => runner._runTools(completions, params, opts));
+    runner._run(() => runner._runTools(client, params, opts));
     return runner;
   }
 
-  override _addMessage(message: ChatCompletionMessageParam) {
-    super._addMessage(message);
+  override _addMessage(
+    this: ChatCompletionRunner<ParsedT>,
+    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
index a2aa7032e..35648c27b 100644
--- a/src/lib/ChatCompletionStream.ts
+++ b/src/lib/ChatCompletionStream.ts
@@ -1,34 +1,144 @@
-import * as Core from 'openai/core';
-import { OpenAIError, APIUserAbortError } from 'openai/error';
+import * as Core from '../core';
 import {
-  Completions,
+  OpenAIError,
+  APIUserAbortError,
+  LengthFinishReasonError,
+  ContentFilterFinishReasonError,
+} from '../error';
+import {
+  ChatCompletionTokenLogprob,
   type ChatCompletion,
   type ChatCompletionChunk,
   type ChatCompletionCreateParams,
+  type ChatCompletionCreateParamsStreaming,
   type ChatCompletionCreateParamsBase,
-} from 'openai/resources/chat/completions';
+  type ChatCompletionRole,
+} from '../resources/chat/completions/completions';
 import {
   AbstractChatCompletionRunner,
   type AbstractChatCompletionRunnerEvents,
 } from './AbstractChatCompletionRunner';
-import { type ReadableStream } from 'openai/_shims/index';
-import { Stream } from 'openai/streaming';
+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<ParsedT = null> {
+  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 ChatCompletionStreamEvents extends AbstractChatCompletionRunnerEvents {
+export interface LogProbsContentDeltaEvent {
+  content: Array<ChatCompletionTokenLogprob>;
+  snapshot: Array<ChatCompletionTokenLogprob>;
+}
+
+export interface LogProbsContentDoneEvent {
+  content: Array<ChatCompletionTokenLogprob>;
+}
+
+export interface LogProbsRefusalDeltaEvent {
+  refusal: Array<ChatCompletionTokenLogprob>;
+  snapshot: Array<ChatCompletionTokenLogprob>;
+}
+
+export interface LogProbsRefusalDoneEvent {
+  refusal: Array<ChatCompletionTokenLogprob>;
+}
+
+export interface ChatCompletionStreamEvents<ParsedT = null> extends AbstractChatCompletionRunnerEvents {
   content: (contentDelta: string, contentSnapshot: string) => void;
   chunk: (chunk: ChatCompletionChunk, snapshot: ChatCompletionSnapshot) => void;
+
+  'content.delta': (props: ContentDeltaEvent) => void;
+  'content.done': (props: ContentDoneEvent<ParsedT>) => 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<ChatCompletionCreateParamsBase, 'stream'> & {
   stream?: true;
 };
 
-export class ChatCompletionStream
-  extends AbstractChatCompletionRunner<ChatCompletionStreamEvents>
+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<number>;
+}
+
+export class ChatCompletionStream<ParsedT = null>
+  extends AbstractChatCompletionRunner<ChatCompletionStreamEvents<ParsedT>, ParsedT>
   implements AsyncIterable<ChatCompletionChunk>
 {
+  #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;
   }
@@ -40,21 +150,21 @@ export class ChatCompletionStream
    * 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();
+  static fromReadableStream(stream: ReadableStream): ChatCompletionStream<null> {
+    const runner = new ChatCompletionStream(null);
     runner._run(() => runner._fromReadableStream(stream));
     return runner;
   }
 
-  static createChatCompletion(
-    completions: Completions,
+  static createChatCompletion<ParsedT>(
+    client: OpenAI,
     params: ChatCompletionStreamParams,
     options?: Core.RequestOptions,
-  ): ChatCompletionStream {
-    const runner = new ChatCompletionStream();
+  ): ChatCompletionStream<ParsedT> {
+    const runner = new ChatCompletionStream<ParsedT>(params as ChatCompletionCreateParamsStreaming);
     runner._run(() =>
       runner._runChatCompletion(
-        completions,
+        client,
         { ...params, stream: true },
         { ...options, headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'stream' } },
       ),
@@ -66,17 +176,184 @@ export class ChatCompletionStream
     if (this.ended) return;
     this.#currentChatCompletionSnapshot = undefined;
   }
-  #addChunk(chunk: ChatCompletionChunk) {
+
+  #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<ParsedT>, chunk: ChatCompletionChunk) {
     if (this.ended) return;
+
     const completion = this.#accumulateChatCompletion(chunk);
     this._emit('chunk', chunk, completion);
-    const delta = chunk.choices[0]?.delta?.content;
-    const snapshot = completion.choices[0]?.message;
-    if (delta != null && snapshot?.role === 'assistant' && snapshot?.content) {
-      this._emit('content', delta, snapshot.content);
+
+    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.$parseRaw(toolCallSnapshot.function.arguments)
+          : inputTool?.function.strict ? JSON.parse(toolCallSnapshot.function.arguments)
+          : null,
+      });
+    } else {
+      assertNever(toolCallSnapshot.type);
     }
   }
-  #endRequest(): ChatCompletion {
+
+  #emitContentDoneEvents(choiceSnapshot: ChatCompletionSnapshot.Choice) {
+    const state = this.#getChoiceEventState(choiceSnapshot);
+
+    if (choiceSnapshot.message.content && !state.content_done) {
+      state.content_done = true;
+
+      const responseFormat = this.#getAutoParseableResponseFormat();
+
+      this._emit('content.done', {
+        content: choiceSnapshot.message.content,
+        parsed: responseFormat ? responseFormat.$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<ParsedT> {
     if (this.ended) {
       throw new OpenAIError(`stream has ended, this shouldn't happen`);
     }
@@ -85,21 +362,24 @@ export class ChatCompletionStream
       throw new OpenAIError(`request ended without sending any chunks`);
     }
     this.#currentChatCompletionSnapshot = undefined;
-    return finalizeChatCompletion(snapshot);
+    this.#choiceEventStates = [];
+    return finalizeChatCompletion(snapshot, this.#params);
   }
 
   protected override async _createChatCompletion(
-    completions: Completions,
+    client: OpenAI,
     params: ChatCompletionCreateParams,
     options?: Core.RequestOptions,
-  ): Promise<ChatCompletion> {
+  ): Promise<ParsedChatCompletion<ParsedT>> {
+    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 completions.create(
+
+    const stream = await client.chat.completions.create(
       { ...params, stream: true },
       { ...options, signal: this.controller.signal },
     );
@@ -141,6 +421,15 @@ export class ChatCompletionStream
     return this._addChatCompletion(this.#endRequest());
   }
 
+  #getAutoParseableResponseFormat(): AutoParseableResponseFormat<ParsedT> | null {
+    const responseFormat = this.#params?.response_format;
+    if (isAutoParsableResponseFormat<ParsedT>(responseFormat)) {
+      return responseFormat;
+    }
+
+    return null;
+  }
+
   #accumulateChatCompletion(chunk: ChatCompletionChunk): ChatCompletionSnapshot {
     let snapshot = this.#currentChatCompletionSnapshot;
     const { choices, ...rest } = chunk;
@@ -163,23 +452,48 @@ export class ChatCompletionStream
         if (!choice.logprobs) {
           choice.logprobs = Object.assign({}, logprobs);
         } else {
-          const { content, ...rest } = logprobs;
+          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();
+          }
         }
       }
 
-      if (finish_reason) choice.finish_reason = finish_reason;
       Object.assign(choice, other);
 
       if (!delta) continue; // Shouldn't happen; just in case.
-      const { content, function_call, role, tool_calls, ...rest } = delta;
+
+      const { content, refusal, function_call, role, tool_calls, ...rest } = delta;
+      assertIsEmpty(rest);
       Object.assign(choice.message, rest);
 
-      if (content) choice.message.content = (choice.message.content || '') + content;
+      if (refusal) {
+        choice.message.refusal = (choice.message.refusal || '') + refusal;
+      }
+
       if (role) choice.message.role = role;
       if (function_call) {
         if (!choice.message.function_call) {
@@ -192,31 +506,50 @@ export class ChatCompletionStream
           }
         }
       }
+      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] ??= {});
+          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 ??= { arguments: '' };
+          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 (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](): AsyncIterator<ChatCompletionChunk> {
+  [Symbol.asyncIterator](this: ChatCompletionStream<ParsedT>): AsyncIterator<ChatCompletionChunk> {
     const pushQueue: ChatCompletionChunk[] = [];
-    const readQueue: ((chunk: ChatCompletionChunk | undefined) => void)[] = [];
+    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(chunk);
+        reader.resolve(chunk);
       } else {
         pushQueue.push(chunk);
       }
@@ -225,7 +558,23 @@ export class ChatCompletionStream
     this.on('end', () => {
       done = true;
       for (const reader of readQueue) {
-        reader(undefined);
+        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;
     });
@@ -236,13 +585,17 @@ export class ChatCompletionStream
           if (done) {
             return { value: undefined, done: true };
           }
-          return new Promise<ChatCompletionChunk | undefined>((resolve) => readQueue.push(resolve)).then(
-            (chunk) => (chunk ? { value: chunk, done: false } : { value: undefined, done: true }),
-          );
+          return new Promise<ChatCompletionChunk | undefined>((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 };
+      },
     };
   }
 
@@ -252,29 +605,50 @@ export class ChatCompletionStream
   }
 }
 
-function finalizeChatCompletion(snapshot: ChatCompletionSnapshot): ChatCompletion {
+function finalizeChatCompletion<ParsedT>(
+  snapshot: ChatCompletionSnapshot,
+  params: ChatCompletionCreateParams | null,
+): ParsedChatCompletion<ParsedT> {
   const { id, choices, created, model, system_fingerprint, ...rest } = snapshot;
-  return {
+  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}`);
+        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 (!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}`);
+          if (args == null) {
+            throw new OpenAIError(`missing function_call.arguments for choice ${index}`);
+          }
+
+          if (!name) {
+            throw new OpenAIError(`missing function_call.name for choice ${index}`);
+          }
+
           return {
             ...choiceRest,
-            message: { content, function_call: { arguments: args, name }, role },
+            message: {
+              content,
+              function_call: { arguments: args, name },
+              role,
+              refusal: message.refusal ?? null,
+            },
             finish_reason,
             index,
             logprobs,
           };
         }
+
         if (tool_calls) {
           return {
             ...choiceRest,
@@ -285,21 +659,26 @@ function finalizeChatCompletion(snapshot: ChatCompletionSnapshot): ChatCompletio
               ...messageRest,
               role,
               content,
+              refusal: message.refusal ?? null,
               tool_calls: tool_calls.map((tool_call, i) => {
                 const { function: fn, type, id, ...toolRest } = tool_call;
                 const { arguments: args, name, ...fnRest } = fn || {};
-                if (id == null)
+                if (id == null) {
                   throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].id\n${str(snapshot)}`);
-                if (type == null)
+                }
+                if (type == null) {
                   throw new OpenAIError(`missing choices[${index}].tool_calls[${i}].type\n${str(snapshot)}`);
-                if (name == null)
+                }
+                if (name == null) {
                   throw new OpenAIError(
                     `missing choices[${index}].tool_calls[${i}].function.name\n${str(snapshot)}`,
                   );
-                if (args == null)
+                }
+                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 } };
               }),
@@ -308,7 +687,7 @@ function finalizeChatCompletion(snapshot: ChatCompletionSnapshot): ChatCompletio
         }
         return {
           ...choiceRest,
-          message: { ...messageRest, content, role },
+          message: { ...messageRest, content, role, refusal: message.refusal ?? null },
           finish_reason,
           index,
           logprobs,
@@ -320,6 +699,8 @@ function finalizeChatCompletion(snapshot: ChatCompletionSnapshot): ChatCompletio
     object: 'chat.completion',
     ...(system_fingerprint ? { system_fingerprint } : {}),
   };
+
+  return maybeParseChatCompletion(completion, params);
 }
 
 function str(x: unknown) {
@@ -402,6 +783,10 @@ export namespace ChatCompletionSnapshot {
        */
       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.
@@ -413,7 +798,7 @@ export namespace ChatCompletionSnapshot {
       /**
        * The role of the author of this message.
        */
-      role?: 'system' | 'user' | 'assistant' | 'function' | 'tool';
+      role?: ChatCompletionRole;
     }
 
     export namespace Message {
@@ -421,14 +806,14 @@ export namespace ChatCompletionSnapshot {
         /**
          * The ID of the tool call.
          */
-        id?: string;
+        id: string;
 
-        function?: ToolCall.Function;
+        function: ToolCall.Function;
 
         /**
          * The type of the tool.
          */
-        type?: 'function';
+        type: 'function';
       }
 
       export namespace ToolCall {
@@ -439,12 +824,14 @@ export namespace ChatCompletionSnapshot {
            * hallucinate parameters not defined by your function schema. Validate the
            * arguments in your code before calling your function.
            */
-          arguments?: string;
+          arguments: string;
+
+          parsed_arguments?: unknown;
 
           /**
            * The name of the function to call.
            */
-          name?: string;
+          name: string;
         }
       }
 
@@ -469,3 +856,16 @@ export namespace ChatCompletionSnapshot {
     }
   }
 }
+
+type AssertIsEmpty<T extends {}> = 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<T extends {}>(obj: AssertIsEmpty<T>): asserts obj is AssertIsEmpty<T> {
+  return;
+}
+
+function assertNever(_x: never) {}
diff --git a/src/lib/ChatCompletionStreamingRunner.ts b/src/lib/ChatCompletionStreamingRunner.ts
index cf58c5270..ba0c6496f 100644
--- a/src/lib/ChatCompletionStreamingRunner.ts
+++ b/src/lib/ChatCompletionStreamingRunner.ts
@@ -1,12 +1,13 @@
 import {
-  Completions,
   type ChatCompletionChunk,
   type ChatCompletionCreateParamsStreaming,
-} from 'openai/resources/chat/completions';
+} from '../resources/chat/completions';
 import { RunnerOptions, type AbstractChatCompletionRunnerEvents } from './AbstractChatCompletionRunner';
-import { type ReadableStream } from 'openai/_shims/index';
+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;
@@ -24,45 +25,48 @@ export type ChatCompletionStreamingToolRunnerParams<FunctionsArgs extends BaseFu
   ChatCompletionCreateParamsStreaming,
   'tools'
 > & {
-  tools: RunnableTools<FunctionsArgs>;
+  tools: RunnableTools<FunctionsArgs> | AutoParseableTool<any, true>[];
 };
 
-export class ChatCompletionStreamingRunner
-  extends ChatCompletionStream
+export class ChatCompletionStreamingRunner<ParsedT = null>
+  extends ChatCompletionStream<ParsedT>
   implements AsyncIterable<ChatCompletionChunk>
 {
-  static override fromReadableStream(stream: ReadableStream): ChatCompletionStreamingRunner {
-    const runner = new ChatCompletionStreamingRunner();
+  static override fromReadableStream(stream: ReadableStream): ChatCompletionStreamingRunner<null> {
+    const runner = new ChatCompletionStreamingRunner(null);
     runner._run(() => runner._fromReadableStream(stream));
     return runner;
   }
 
   /** @deprecated - please use `runTools` instead. */
   static runFunctions<T extends (string | object)[]>(
-    completions: Completions,
+    client: OpenAI,
     params: ChatCompletionStreamingFunctionRunnerParams<T>,
     options?: RunnerOptions,
-  ): ChatCompletionStreamingRunner {
-    const runner = new ChatCompletionStreamingRunner();
+  ): ChatCompletionStreamingRunner<null> {
+    const runner = new ChatCompletionStreamingRunner(null);
     const opts = {
       ...options,
       headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'runFunctions' },
     };
-    runner._run(() => runner._runFunctions(completions, params, opts));
+    runner._run(() => runner._runFunctions(client, params, opts));
     return runner;
   }
 
-  static runTools<T extends (string | object)[]>(
-    completions: Completions,
+  static runTools<T extends (string | object)[], ParsedT = null>(
+    client: OpenAI,
     params: ChatCompletionStreamingToolRunnerParams<T>,
     options?: RunnerOptions,
-  ): ChatCompletionStreamingRunner {
-    const runner = new ChatCompletionStreamingRunner();
+  ): ChatCompletionStreamingRunner<ParsedT> {
+    const runner = new ChatCompletionStreamingRunner<ParsedT>(
+      // @ts-expect-error TODO these types are incompatible
+      params,
+    );
     const opts = {
       ...options,
       headers: { ...options?.headers, 'X-Stainless-Helper-Method': 'runTools' },
     };
-    runner._run(() => runner._runTools(completions, params, opts));
+    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 extends keyof Events> = Events[EventType];
+
+type EventListeners<Events, EventType extends keyof Events> = Array<{
+  listener: EventListener<Events, EventType>;
+  once?: boolean;
+}>;
+
+export type EventParameters<Events, EventType extends keyof Events> = {
+  [Event in EventType]: EventListener<Events, EventType> extends (...args: infer P) => any ? P : never;
+}[EventType];
+
+export class EventEmitter<EventTypes extends Record<string, (...args: any) => any>> {
+  #listeners: {
+    [Event in keyof EventTypes]?: EventListeners<EventTypes, Event>;
+  } = {};
+
+  /**
+   * 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 extends keyof EventTypes>(event: Event, listener: EventListener<EventTypes, Event>): this {
+    const listeners: EventListeners<EventTypes, Event> =
+      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 extends keyof EventTypes>(event: Event, listener: EventListener<EventTypes, Event>): 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 extends keyof EventTypes>(event: Event, listener: EventListener<EventTypes, Event>): this {
+    const listeners: EventListeners<EventTypes, Event> =
+      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 extends keyof EventTypes>(
+    event: Event,
+  ): Promise<
+    EventParameters<EventTypes, Event> extends [infer Param] ? Param
+    : EventParameters<EventTypes, Event> extends [] ? void
+    : EventParameters<EventTypes, Event>
+  > {
+    return new Promise((resolve, reject) => {
+      // TODO: handle errors
+      this.once(event, resolve as any);
+    });
+  }
+
+  protected _emit<Event extends keyof EventTypes>(
+    this: EventEmitter<EventTypes>,
+    event: Event,
+    ...args: EventParameters<EventTypes, Event>
+  ) {
+    const listeners: EventListeners<EventTypes, Event> | 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<EventTypes extends BaseEvents> {
+  controller: AbortController = new AbortController();
+
+  #connectedPromise: Promise<void>;
+  #resolveConnectedPromise: () => void = () => {};
+  #rejectConnectedPromise: (error: OpenAIError) => void = () => {};
+
+  #endPromise: Promise<void>;
+  #resolveEndPromise: () => void = () => {};
+  #rejectEndPromise: (error: OpenAIError) => void = () => {};
+
+  #listeners: {
+    [Event in keyof EventTypes]?: EventListeners<EventTypes, Event>;
+  } = {};
+
+  #ended = false;
+  #errored = false;
+  #aborted = false;
+  #catchingPromiseCreated = false;
+
+  constructor() {
+    this.#connectedPromise = new Promise<void>((resolve, reject) => {
+      this.#resolveConnectedPromise = resolve;
+      this.#rejectConnectedPromise = reject;
+    });
+
+    this.#endPromise = new Promise<void>((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<EventTypes>, executor: () => Promise<any>) {
+    // 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<EventTypes>) {
+    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 extends keyof EventTypes>(event: Event, listener: EventListener<EventTypes, Event>): this {
+    const listeners: EventListeners<EventTypes, Event> =
+      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 extends keyof EventTypes>(event: Event, listener: EventListener<EventTypes, Event>): 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 extends keyof EventTypes>(event: Event, listener: EventListener<EventTypes, Event>): this {
+    const listeners: EventListeners<EventTypes, Event> =
+      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 extends keyof EventTypes>(
+    event: Event,
+  ): Promise<
+    EventParameters<EventTypes, Event> extends [infer Param] ? Param
+    : EventParameters<EventTypes, Event> extends [] ? void
+    : EventParameters<EventTypes, Event>
+  > {
+    return new Promise((resolve, reject) => {
+      this.#catchingPromiseCreated = true;
+      if (event !== 'error') this.once('error', reject);
+      this.once(event, resolve as any);
+    });
+  }
+
+  async done(): Promise<void> {
+    this.#catchingPromiseCreated = true;
+    await this.#endPromise;
+  }
+
+  #handleError(this: EventStream<EventTypes>, 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 extends keyof BaseEvents>(event: Event, ...args: EventParameters<BaseEvents, Event>): void;
+  _emit<Event extends keyof EventTypes>(event: Event, ...args: EventParameters<EventTypes, Event>): void;
+  _emit<Event extends keyof EventTypes>(
+    this: EventStream<EventTypes>,
+    event: Event,
+    ...args: EventParameters<EventTypes, Event>
+  ) {
+    // 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<EventTypes, Event> | 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 extends keyof Events> = Events[EventType];
+
+type EventListeners<Events, EventType extends keyof Events> = Array<{
+  listener: EventListener<Events, EventType>;
+  once?: boolean;
+}>;
+
+export type EventParameters<Events, EventType extends keyof Events> = {
+  [Event in EventType]: EventListener<Events, EventType> 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<Tool> | ChatCompletionTool | null;
+
+export type ResponseCreateParamsWithTools = ResponseCreateParamsBase & {
+  tools?: ParseableToolsParams;
+};
+
+export type ExtractParsedContentFromParams<Params extends ResponseCreateParamsWithTools> =
+  NonNullable<Params['text']>['format'] extends AutoParseableTextFormat<infer P> ? P : null;
+
+export function maybeParseResponse<
+  Params extends ResponseCreateParamsBase | null,
+  ParsedT = Params extends null ? null : ExtractParsedContentFromParams<NonNullable<Params>>,
+>(response: Response, params: Params): ParsedResponse<ParsedT> {
+  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<Params>,
+>(response: Response, params: Params): ParsedResponse<ParsedT> {
+  const output: Array<ParsedResponseOutputItem<ParsedT>> = response.output.map(
+    (item): ParsedResponseOutputItem<ParsedT> => {
+      if (item.type === 'function_call') {
+        return {
+          ...item,
+          parsed_arguments: parseToolCall(params, item),
+        };
+      }
+      if (item.type === 'message') {
+        const content: Array<ParsedContent<ParsedT>> = 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<ParsedResponse<ParsedT>, '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<ParsedT>;
+}
+
+function parseTextFormat<
+  Params extends ResponseCreateParamsBase,
+  ParsedT = ExtractParsedContentFromParams<Params>,
+>(params: Params, content: string): ParsedT | null {
+  if (params.text?.format?.type !== 'json_schema') {
+    return null;
+  }
+
+  if ('$parseRaw' in params.text?.format) {
+    const text_format = params.text?.format as unknown as AutoParseableTextFormat<ParsedT>;
+    return text_format.$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<OptionsT extends ToolOptions>(
+  tool: FunctionTool,
+  {
+    parser,
+    callback,
+  }: {
+    parser: (content: string) => OptionsT['arguments'];
+    callback: ((args: any) => any) | undefined;
+  },
+): AutoParseableResponseTool<OptionsT['arguments']> {
+  const obj = { ...tool };
+
+  Object.defineProperties(obj, {
+    $brand: {
+      value: 'auto-parseable-tool',
+      enumerable: false,
+    },
+    $parseRaw: {
+      value: parser,
+      enumerable: false,
+    },
+    $callback: {
+      value: callback,
+      enumerable: false,
+    },
+  });
+
+  return obj as AutoParseableResponseTool<OptionsT['arguments']>;
+}
+
+export function isAutoParsableTool(tool: any): tool is AutoParseableResponseTool<any> {
+  return tool?.['$brand'] === 'auto-parseable-tool';
+}
+
+function getInputToolByName(input_tools: Array<Tool>, name: string): FunctionTool | undefined {
+  return input_tools.find((tool) => tool.type === 'function' && tool.name === name) as
+    | FunctionTool
+    | undefined;
+}
+
+function parseToolCall<Params extends ResponseCreateParamsBase>(
+  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
index 96ca06c86..a645f5ebe 100644
--- a/src/lib/RunnableFunction.ts
+++ b/src/lib/RunnableFunction.ts
@@ -12,7 +12,7 @@ export type RunnableFunctionWithParse<Args extends object> = {
    */
   function: (
     args: Args,
-    runner: ChatCompletionRunner | ChatCompletionStreamingRunner,
+    runner: ChatCompletionRunner<unknown> | ChatCompletionStreamingRunner<unknown>,
   ) => PromiseOrValue<unknown>;
   /**
    * @param input the raw args from the OpenAI function call.
@@ -31,6 +31,7 @@ export type RunnableFunctionWithParse<Args extends object> = {
    * The name of the function to be called. Will default to function.name if omitted.
    */
   name?: string | undefined;
+  strict?: boolean | undefined;
 };
 
 export type RunnableFunctionWithoutParse = {
@@ -40,7 +41,7 @@ export type RunnableFunctionWithoutParse = {
    */
   function: (
     args: string,
-    runner: ChatCompletionRunner | ChatCompletionStreamingRunner,
+    runner: ChatCompletionRunner<unknown> | ChatCompletionStreamingRunner<unknown>,
   ) => PromiseOrValue<unknown>;
   /**
    * The parameters the function accepts, describes as a JSON Schema object.
@@ -54,6 +55,7 @@ export type RunnableFunctionWithoutParse = {
    * 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 object | string> =
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 <R>(promises: Promise<R>[]): Promise<R[]> => {
+  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
index a0d9099de..7e9f8a093 100644
--- a/src/lib/chatCompletionUtils.ts
+++ b/src/lib/chatCompletionUtils.ts
@@ -3,7 +3,7 @@ import {
   type ChatCompletionFunctionMessageParam,
   type ChatCompletionMessageParam,
   type ChatCompletionToolMessageParam,
-} from 'openai/resources';
+} from '../resources';
 
 export const isAssistantMessage = (
   message: ChatCompletionMessageParam | null | 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<any>
+  | ChatCompletionStreamingToolRunnerParams<any>
+  | ChatCompletionStreamParams;
+
+export type ExtractParsedContentFromParams<Params extends AnyChatCompletionCreateParams> =
+  Params['response_format'] extends AutoParseableResponseFormat<infer P> ? P : null;
+
+export type AutoParseableResponseFormat<ParsedT> = ResponseFormatJSONSchema & {
+  __output: ParsedT; // type-level only
+
+  $brand: 'auto-parseable-response-format';
+  $parseRaw(content: string): ParsedT;
+};
+
+export function makeParseableResponseFormat<ParsedT>(
+  response_format: ResponseFormatJSONSchema,
+  parser: (content: string) => ParsedT,
+): AutoParseableResponseFormat<ParsedT> {
+  const obj = { ...response_format };
+
+  Object.defineProperties(obj, {
+    $brand: {
+      value: 'auto-parseable-response-format',
+      enumerable: false,
+    },
+    $parseRaw: {
+      value: parser,
+      enumerable: false,
+    },
+  });
+
+  return obj as AutoParseableResponseFormat<ParsedT>;
+}
+
+export type AutoParseableTextFormat<ParsedT> = ResponseFormatTextJSONSchemaConfig & {
+  __output: ParsedT; // type-level only
+
+  $brand: 'auto-parseable-response-format';
+  $parseRaw(content: string): ParsedT;
+};
+
+export function makeParseableTextFormat<ParsedT>(
+  response_format: ResponseFormatTextJSONSchemaConfig,
+  parser: (content: string) => ParsedT,
+): AutoParseableTextFormat<ParsedT> {
+  const obj = { ...response_format };
+
+  Object.defineProperties(obj, {
+    $brand: {
+      value: 'auto-parseable-response-format',
+      enumerable: false,
+    },
+    $parseRaw: {
+      value: parser,
+      enumerable: false,
+    },
+  });
+
+  return obj as AutoParseableTextFormat<ParsedT>;
+}
+
+export function isAutoParsableResponseFormat<ParsedT>(
+  response_format: any,
+): response_format is AutoParseableResponseFormat<ParsedT> {
+  return response_format?.['$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<OptionsT extends ToolOptions>(
+  tool: ChatCompletionTool,
+  {
+    parser,
+    callback,
+  }: {
+    parser: (content: string) => OptionsT['arguments'];
+    callback: ((args: any) => any) | undefined;
+  },
+): AutoParseableTool<OptionsT['arguments']> {
+  const obj = { ...tool };
+
+  Object.defineProperties(obj, {
+    $brand: {
+      value: 'auto-parseable-tool',
+      enumerable: false,
+    },
+    $parseRaw: {
+      value: parser,
+      enumerable: false,
+    },
+    $callback: {
+      value: callback,
+      enumerable: false,
+    },
+  });
+
+  return obj as AutoParseableTool<OptionsT['arguments']>;
+}
+
+export function isAutoParsableTool(tool: any): tool is AutoParseableTool<any> {
+  return tool?.['$brand'] === 'auto-parseable-tool';
+}
+
+export function maybeParseChatCompletion<
+  Params extends ChatCompletionCreateParams | null,
+  ParsedT = Params extends null ? null : ExtractParsedContentFromParams<NonNullable<Params>>,
+>(completion: ChatCompletion, params: Params): ParsedChatCompletion<ParsedT> {
+  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<Params>,
+>(completion: ChatCompletion, params: Params): ParsedChatCompletion<ParsedT> {
+  const choices: Array<ParsedChoice<ParsedT>> = completion.choices.map((choice): ParsedChoice<ParsedT> => {
+    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: Params, content: string): ParsedT | null {
+  if (params.response_format?.type !== 'json_schema') {
+    return null;
+  }
+
+  if (params.response_format?.type === 'json_schema') {
+    if ('$parseRaw' in params.response_format) {
+      const response_format = params.response_format as AutoParseableResponseFormat<ParsedT>;
+
+      return response_format.$parseRaw(content);
+    }
+
+    return JSON.parse(content);
+  }
+
+  return null;
+}
+
+function parseToolCall<Params extends ChatCompletionCreateParams>(
+  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<ResponseCreateParamsBase, 'stream'> & {
+  stream?: true;
+};
+
+type ResponseEvents = BaseEvents &
+  Omit<
+    {
+      [K in ResponseStreamEvent['type']]: (event: Extract<ResponseStreamEvent, { type: K }>) => 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<ResponseCreateParamsBase, 'stream'> & {
+  stream?: true;
+};
+
+export class ResponseStream<ParsedT = null>
+  extends EventStream<ResponseEvents>
+  implements AsyncIterable<ResponseStreamEvent>
+{
+  #params: ResponseStreamingParams | null;
+  #currentResponseSnapshot: Response | undefined;
+  #finalResponse: ParsedResponse<ParsedT> | undefined;
+
+  constructor(params: ResponseStreamingParams | null) {
+    super();
+    this.#params = params;
+  }
+
+  static createResponse<ParsedT>(
+    client: OpenAI,
+    params: ResponseStreamParams,
+    options?: Core.RequestOptions,
+  ): ResponseStream<ParsedT> {
+    const runner = new ResponseStream<ParsedT>(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<ParsedT>, 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<ParsedT> {
+    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<ParsedT>(snapshot, this.#params);
+    this.#finalResponse = parsedResponse;
+
+    return parsedResponse;
+  }
+
+  protected async _createResponse(
+    client: OpenAI,
+    params: ResponseStreamingParams,
+    options?: Core.RequestOptions,
+  ): Promise<ParsedResponse<ParsedT>> {
+    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<ParsedT>): AsyncIterator<ResponseStreamEvent> {
+    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<IteratorResult<ResponseStreamEvent>> => {
+        if (!pushQueue.length) {
+          if (done) {
+            return { value: undefined, done: true };
+          }
+          return new Promise<ResponseStreamEvent | undefined>((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<ParsedResponse<ParsedT>> {
+    await this.done();
+    const response = this.#finalResponse;
+    if (!response) throw new OpenAIError('stream ended without producing a ChatCompletion');
+    return response;
+  }
+}
+
+function finalizeResponse<ParsedT>(
+  snapshot: Response,
+  params: ResponseStreamingParams | null,
+): ParsedResponse<ParsedT> {
+  return maybeParseResponse(snapshot, params);
+}
diff --git a/src/pagination.ts b/src/pagination.ts
index 5d890a140..7a513fc44 100644
--- a/src/pagination.ts
+++ b/src/pagination.ts
@@ -1,4 +1,4 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 import { AbstractPage, Response, APIClient, FinalRequestOptions, PageInfo } from './core';
 
@@ -43,6 +43,8 @@ export class Page<Item> extends AbstractPage<Item> implements PageResponse<Item>
 
 export interface CursorPageResponse<Item> {
   data: Array<Item>;
+
+  has_more: boolean;
 }
 
 export interface CursorPageParams {
@@ -57,6 +59,8 @@ export class CursorPage<Item extends { id: string }>
 {
   data: Array<Item>;
 
+  has_more: boolean;
+
   constructor(
     client: APIClient,
     response: Response,
@@ -66,12 +70,21 @@ export class CursorPage<Item extends { id: string }>
     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<CursorPageParams> | null {
     const info = this.nextPageInfo();
diff --git a/src/resource.ts b/src/resource.ts
index 0bf87cf33..87847c879 100644
--- a/src/resource.ts
+++ b/src/resource.ts
@@ -1,4 +1,4 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 import type { OpenAI } from './index';
 
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
index 960577b0d..071fe5929 100644
--- a/src/resources/audio/audio.ts
+++ b/src/resources/audio/audio.ts
@@ -1,9 +1,32 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-import { APIResource } from 'openai/resource';
-import * as SpeechAPI from 'openai/resources/audio/speech';
-import * as TranscriptionsAPI from 'openai/resources/audio/transcriptions';
-import * as TranslationsAPI from 'openai/resources/audio/translations';
+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);
@@ -11,13 +34,45 @@ export class Audio extends APIResource {
   speech: SpeechAPI.Speech = new SpeechAPI.Speech(this._client);
 }
 
-export namespace Audio {
-  export import Transcriptions = TranscriptionsAPI.Transcriptions;
-  export import Transcription = TranscriptionsAPI.Transcription;
-  export import TranscriptionCreateParams = TranscriptionsAPI.TranscriptionCreateParams;
-  export import Translations = TranslationsAPI.Translations;
-  export import Translation = TranslationsAPI.Translation;
-  export import TranslationCreateParams = TranslationsAPI.TranslationCreateParams;
-  export import Speech = SpeechAPI.Speech;
-  export import SpeechCreateParams = SpeechAPI.SpeechCreateParams;
+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
index 17c81d3bb..deed39ede 100644
--- a/src/resources/audio/index.ts
+++ b/src/resources/audio/index.ts
@@ -1,6 +1,26 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-export { Audio } from './audio';
-export { SpeechCreateParams, Speech } from './speech';
-export { Transcription, TranscriptionCreateParams, Transcriptions } from './transcriptions';
-export { Translation, TranslationCreateParams, Translations } from './translations';
+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
index faa281686..ccd37c092 100644
--- a/src/resources/audio/speech.ts
+++ b/src/resources/audio/speech.ts
@@ -1,19 +1,37 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-import * as Core from 'openai/core';
-import { APIResource } from 'openai/resource';
-import { type Response } from 'openai/_shims/index';
-import * as SpeechAPI from 'openai/resources/audio/speech';
+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<Response> {
-    return this._client.post('/audio/speech', { body, ...options, __binaryResponse: true });
+    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.
@@ -21,31 +39,50 @@ export interface SpeechCreateParams {
   input: string;
 
   /**
-   * One of the available [TTS models](https://platform.openai.com/docs/models/tts):
-   * `tts-1` or `tts-1-hd`
+   * 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).
    */
-  model: (string & {}) | 'tts-1' | 'tts-1-hd';
+  voice:
+    | (string & {})
+    | 'alloy'
+    | 'ash'
+    | 'ballad'
+    | 'coral'
+    | 'echo'
+    | 'fable'
+    | 'onyx'
+    | 'nova'
+    | 'sage'
+    | 'shimmer'
+    | 'verse';
 
   /**
-   * The voice to use when generating the audio. Supported voices are `alloy`,
-   * `echo`, `fable`, `onyx`, `nova`, and `shimmer`. Previews of the voices are
-   * available in the
-   * [Text to speech guide](https://platform.openai.com/docs/guides/text-to-speech/voice-options).
+   * Control the voice of your generated audio with additional instructions. Does not
+   * work with `tts-1` or `tts-1-hd`.
    */
-  voice: 'alloy' | 'echo' | 'fable' | 'onyx' | 'nova' | 'shimmer';
+  instructions?: string;
 
   /**
-   * The format to audio in. Supported formats are `mp3`, `opus`, `aac`, and `flac`.
+   * The format to audio in. Supported formats are `mp3`, `opus`, `aac`, `flac`,
+   * `wav`, and `pcm`.
    */
-  response_format?: 'mp3' | 'opus' | 'aac' | 'flac';
+  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.
+   * the default. Does not work with `gpt-4o-mini-tts`.
    */
   speed?: number;
 }
 
-export namespace Speech {
-  export import SpeechCreateParams = SpeechAPI.SpeechCreateParams;
+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
index 7f381c5a3..9e5310874 100644
--- a/src/resources/audio/transcriptions.ts
+++ b/src/resources/audio/transcriptions.ts
@@ -1,55 +1,379 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-import * as Core from 'openai/core';
-import { APIResource } from 'openai/resource';
-import * as TranscriptionsAPI from 'openai/resources/audio/transcriptions';
-import { type Uploadable, multipartFormRequestOptions } from 'openai/core';
+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: TranscriptionCreateParams, options?: Core.RequestOptions): Core.APIPromise<Transcription> {
-    return this._client.post('/audio/transcriptions', multipartFormRequestOptions({ body, ...options }));
+  create(
+    body: TranscriptionCreateParamsNonStreaming<'json' | undefined>,
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<Transcription>;
+  create(
+    body: TranscriptionCreateParamsNonStreaming<'verbose_json'>,
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<TranscriptionVerbose>;
+  create(
+    body: TranscriptionCreateParamsNonStreaming<'srt' | 'vtt' | 'text'>,
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<string>;
+  create(
+    body: TranscriptionCreateParamsNonStreaming,
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<Transcription>;
+  create(
+    body: TranscriptionCreateParamsStreaming,
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<Stream<TranscriptionStreamEvent>>;
+  create(
+    body: TranscriptionCreateParamsStreaming,
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<TranscriptionCreateResponse | string | Stream<TranscriptionStreamEvent>>;
+  create(
+    body: TranscriptionCreateParams,
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<TranscriptionCreateResponse | string | Stream<TranscriptionStreamEvent>> {
+    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<Transcription.Logprob>;
+}
+
+export namespace Transcription {
+  export interface Logprob {
+    /**
+     * The token in the transcription.
+     */
+    token?: string;
+
+    /**
+     * The bytes of the token.
+     */
+    bytes?: Array<number>;
+
+    /**
+     * 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<number>;
+}
+
+/**
+ * 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<TranscriptionTextDeltaEvent.Logprob>;
+}
+
+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<unknown>;
+
+    /**
+     * 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<TranscriptionTextDoneEvent.Logprob>;
+}
+
+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<unknown>;
+
+    /**
+     * 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<TranscriptionSegment>;
+
+  /**
+   * Extracted words and their corresponding timestamps.
+   */
+  words?: Array<TranscriptionWord>;
+}
+
+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;
 }
 
-export interface TranscriptionCreateParams {
+/**
+ * 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<ResponseFormat> | 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: Uploadable;
+  file: Core.Uploadable;
 
   /**
-   * ID of the model to use. Only `whisper-1` is currently available.
+   * 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 & {}) | 'whisper-1';
+  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<TranscriptionInclude>;
 
   /**
    * 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) format will
-   * improve accuracy and latency.
+   * [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)
+   * [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting)
    * should match the audio language.
    */
   prompt?: string;
 
   /**
-   * The format of the transcript output, in one of these options: `json`, `text`,
-   * `srt`, `verbose_json`, or `vtt`.
+   * 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.
    */
-  response_format?: 'json' | 'text' | 'srt' | 'verbose_json' | 'vtt';
+  stream?: boolean | null;
 
   /**
    * The sampling temperature, between 0 and 1. Higher values like 0.8 will make the
@@ -61,14 +385,89 @@ export interface TranscriptionCreateParams {
   temperature?: number;
 
   /**
-   * The timestamp granularities to populate for this transcription. Any of these
-   * options: `word`, or `segment`. Note: There is no additional latency for segment
-   * timestamps, but generating word timestamps incurs additional latency.
+   * 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 Transcriptions {
-  export import Transcription = TranscriptionsAPI.Transcription;
-  export import TranscriptionCreateParams = TranscriptionsAPI.TranscriptionCreateParams;
+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<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?: 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
index 54583ce1f..1edb71a7d 100644
--- a/src/resources/audio/translations.ts
+++ b/src/resources/audio/translations.ts
@@ -1,16 +1,43 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-import * as Core from 'openai/core';
-import { APIResource } from 'openai/resource';
-import * as TranslationsAPI from 'openai/resources/audio/translations';
-import { type Uploadable, multipartFormRequestOptions } from 'openai/core';
+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, options?: Core.RequestOptions): Core.APIPromise<Translation> {
-    return this._client.post('/audio/translations', multipartFormRequestOptions({ body, ...options }));
+  create(
+    body: TranslationCreateParams<'json' | undefined>,
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<Translation>;
+  create(
+    body: TranslationCreateParams<'verbose_json'>,
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<TranslationVerbose>;
+  create(
+    body: TranslationCreateParams<'text' | 'srt' | 'vtt'>,
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<string>;
+  create(body: TranslationCreateParams, options?: Core.RequestOptions): Core.APIPromise<Translation>;
+  create(
+    body: TranslationCreateParams,
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<TranslationCreateResponse | string> {
+    return this._client.post(
+      '/audio/translations',
+      Core.multipartFormRequestOptions({ body, ...options, __metadata: { model: body.model } }),
+    );
   }
 }
 
@@ -18,31 +45,58 @@ export interface Translation {
   text: string;
 }
 
-export interface TranslationCreateParams {
+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<TranscriptionsAPI.TranscriptionSegment>;
+}
+
+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: Uploadable;
+  file: Core.Uploadable;
 
   /**
-   * ID of the model to use. Only `whisper-1` is currently available.
+   * ID of the model to use. Only `whisper-1` (which is powered by our open source
+   * Whisper V2 model) is currently available.
    */
-  model: (string & {}) | 'whisper-1';
+  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)
+   * [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting)
    * should be in English.
    */
   prompt?: string;
 
   /**
-   * The format of the transcript output, in one of these options: `json`, `text`,
-   * `srt`, `verbose_json`, or `vtt`.
+   * The format of the output, in one of these options: `json`, `text`, `srt`,
+   * `verbose_json`, or `vtt`.
    */
-  response_format?: string;
+  response_format?: 'json' | 'text' | 'srt' | 'verbose_json' | 'vtt';
 
   /**
    * The sampling temperature, between 0 and 1. Higher values like 0.8 will make the
@@ -54,7 +108,11 @@ export interface TranslationCreateParams {
   temperature?: number;
 }
 
-export namespace Translations {
-  export import Translation = TranslationsAPI.Translation;
-  export import TranslationCreateParams = TranslationsAPI.TranslationCreateParams;
+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<Batch> {
+    return this._client.post('/batches', { body, ...options });
+  }
+
+  /**
+   * Retrieves a batch.
+   */
+  retrieve(batchId: string, options?: Core.RequestOptions): Core.APIPromise<Batch> {
+    return this._client.get(`/batches/${batchId}`, options);
+  }
+
+  /**
+   * List your organization's batches.
+   */
+  list(query?: BatchListParams, options?: Core.RequestOptions): Core.PagePromise<BatchesPage, Batch>;
+  list(options?: Core.RequestOptions): Core.PagePromise<BatchesPage, Batch>;
+  list(
+    query: BatchListParams | Core.RequestOptions = {},
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<BatchesPage, Batch> {
+    if (isRequestOptions(query)) {
+      return this.list({}, query);
+    }
+    return this._client.getAPIList('/batches', BatchesPage, { query, ...options });
+  }
+
+  /**
+   * Cancels an in-progress batch. The batch will be in status `cancelling` for up to
+   * 10 minutes, before changing to `cancelled`, where it will have partial results
+   * (if any) available in the output file.
+   */
+  cancel(batchId: string, options?: Core.RequestOptions): Core.APIPromise<Batch> {
+    return this._client.post(`/batches/${batchId}/cancel`, options);
+  }
+}
+
+export class BatchesPage extends CursorPage<Batch> {}
+
+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<BatchesAPI.BatchError>;
+
+    /**
+     * 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<Assistant> {
+    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<Assistant> {
+    return this._client.get(`/assistants/${assistantId}`, {
+      ...options,
+      headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+    });
+  }
+
+  /**
+   * Modifies an assistant.
+   *
+   * @example
+   * ```ts
+   * const assistant = await client.beta.assistants.update(
+   *   'assistant_id',
+   * );
+   * ```
+   */
+  update(
+    assistantId: string,
+    body: AssistantUpdateParams,
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<Assistant> {
+    return this._client.post(`/assistants/${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<AssistantsPage, Assistant>;
+  list(options?: Core.RequestOptions): Core.PagePromise<AssistantsPage, Assistant>;
+  list(
+    query: AssistantListParams | Core.RequestOptions = {},
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<AssistantsPage, Assistant> {
+    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<AssistantDeleted> {
+    return this._client.delete(`/assistants/${assistantId}`, {
+      ...options,
+      headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+    });
+  }
+}
+
+export class AssistantsPage extends CursorPage<Assistant> {}
+
+/**
+ * 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<AssistantTool>;
+
+  /**
+   * 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<string>;
+    }
+
+    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<string>;
+    }
+  }
+}
+
+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<AssistantTool>;
+
+  /**
+   * 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<string>;
+    }
+
+    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<string>;
+
+      /**
+       * 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<FileSearch.VectorStore>;
+    }
+
+    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<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 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<AssistantTool>;
+
+  /**
+   * 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<string>;
+    }
+
+    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<string>;
+    }
+  }
+}
+
+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/assistants/assistants.ts b/src/resources/beta/assistants/assistants.ts
deleted file mode 100644
index 08abb2c91..000000000
--- a/src/resources/beta/assistants/assistants.ts
+++ /dev/null
@@ -1,369 +0,0 @@
-// File generated from our OpenAPI spec by Stainless.
-
-import * as Core from 'openai/core';
-import { APIResource } from 'openai/resource';
-import { isRequestOptions } from 'openai/core';
-import * as AssistantsAPI from 'openai/resources/beta/assistants/assistants';
-import * as Shared from 'openai/resources/shared';
-import * as FilesAPI from 'openai/resources/beta/assistants/files';
-import { CursorPage, type CursorPageParams } from 'openai/pagination';
-
-export class Assistants extends APIResource {
-  files: FilesAPI.Files = new FilesAPI.Files(this._client);
-
-  /**
-   * Create an assistant with a model and instructions.
-   */
-  create(body: AssistantCreateParams, options?: Core.RequestOptions): Core.APIPromise<Assistant> {
-    return this._client.post('/assistants', {
-      body,
-      ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
-    });
-  }
-
-  /**
-   * Retrieves an assistant.
-   */
-  retrieve(assistantId: string, options?: Core.RequestOptions): Core.APIPromise<Assistant> {
-    return this._client.get(`/assistants/${assistantId}`, {
-      ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
-    });
-  }
-
-  /**
-   * Modifies an assistant.
-   */
-  update(
-    assistantId: string,
-    body: AssistantUpdateParams,
-    options?: Core.RequestOptions,
-  ): Core.APIPromise<Assistant> {
-    return this._client.post(`/assistants/${assistantId}`, {
-      body,
-      ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
-    });
-  }
-
-  /**
-   * Returns a list of assistants.
-   */
-  list(
-    query?: AssistantListParams,
-    options?: Core.RequestOptions,
-  ): Core.PagePromise<AssistantsPage, Assistant>;
-  list(options?: Core.RequestOptions): Core.PagePromise<AssistantsPage, Assistant>;
-  list(
-    query: AssistantListParams | Core.RequestOptions = {},
-    options?: Core.RequestOptions,
-  ): Core.PagePromise<AssistantsPage, Assistant> {
-    if (isRequestOptions(query)) {
-      return this.list({}, query);
-    }
-    return this._client.getAPIList('/assistants', AssistantsPage, {
-      query,
-      ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
-    });
-  }
-
-  /**
-   * Delete an assistant.
-   */
-  del(assistantId: string, options?: Core.RequestOptions): Core.APIPromise<AssistantDeleted> {
-    return this._client.delete(`/assistants/${assistantId}`, {
-      ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
-    });
-  }
-}
-
-export class AssistantsPage extends CursorPage<Assistant> {}
-
-/**
- * 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;
-
-  /**
-   * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs
-   * attached to this assistant. There can be a maximum of 20 files attached to the
-   * assistant. Files are ordered by their creation date in ascending order.
-   */
-  file_ids: Array<string>;
-
-  /**
-   * The system instructions that the assistant uses. The maximum length is 32768
-   * 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. Keys
-   * can be a maximum of 64 characters long and values can be a maxium of 512
-   * characters long.
-   */
-  metadata: unknown | 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/overview) 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`, `retrieval`, or `function`.
-   */
-  tools: Array<Assistant.CodeInterpreter | Assistant.Retrieval | Assistant.Function>;
-}
-
-export namespace Assistant {
-  export interface CodeInterpreter {
-    /**
-     * The type of tool being defined: `code_interpreter`
-     */
-    type: 'code_interpreter';
-  }
-
-  export interface Retrieval {
-    /**
-     * The type of tool being defined: `retrieval`
-     */
-    type: 'retrieval';
-  }
-
-  export interface Function {
-    function: Shared.FunctionDefinition;
-
-    /**
-     * The type of tool being defined: `function`
-     */
-    type: 'function';
-  }
-}
-
-export interface AssistantDeleted {
-  id: string;
-
-  deleted: boolean;
-
-  object: 'assistant.deleted';
-}
-
-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/overview) for
-   * descriptions of them.
-   */
-  model: string;
-
-  /**
-   * The description of the assistant. The maximum length is 512 characters.
-   */
-  description?: string | null;
-
-  /**
-   * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs
-   * attached to this assistant. There can be a maximum of 20 files attached to the
-   * assistant. Files are ordered by their creation date in ascending order.
-   */
-  file_ids?: Array<string>;
-
-  /**
-   * The system instructions that the assistant uses. The maximum length is 32768
-   * 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. Keys
-   * can be a maximum of 64 characters long and values can be a maxium of 512
-   * characters long.
-   */
-  metadata?: unknown | null;
-
-  /**
-   * The name of the assistant. The maximum length is 256 characters.
-   */
-  name?: string | 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`, `retrieval`, or `function`.
-   */
-  tools?: Array<
-    | AssistantCreateParams.AssistantToolsCode
-    | AssistantCreateParams.AssistantToolsRetrieval
-    | AssistantCreateParams.AssistantToolsFunction
-  >;
-}
-
-export namespace AssistantCreateParams {
-  export interface AssistantToolsCode {
-    /**
-     * The type of tool being defined: `code_interpreter`
-     */
-    type: 'code_interpreter';
-  }
-
-  export interface AssistantToolsRetrieval {
-    /**
-     * The type of tool being defined: `retrieval`
-     */
-    type: 'retrieval';
-  }
-
-  export interface AssistantToolsFunction {
-    function: Shared.FunctionDefinition;
-
-    /**
-     * The type of tool being defined: `function`
-     */
-    type: 'function';
-  }
-}
-
-export interface AssistantUpdateParams {
-  /**
-   * The description of the assistant. The maximum length is 512 characters.
-   */
-  description?: string | null;
-
-  /**
-   * A list of [File](https://platform.openai.com/docs/api-reference/files) IDs
-   * attached to this assistant. There can be a maximum of 20 files attached to the
-   * assistant. Files are ordered by their creation date in ascending order. If a
-   * file was previously attached to the list but does not show up in the list, it
-   * will be deleted from the assistant.
-   */
-  file_ids?: Array<string>;
-
-  /**
-   * The system instructions that the assistant uses. The maximum length is 32768
-   * 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. Keys
-   * can be a maximum of 64 characters long and values can be a maxium of 512
-   * characters long.
-   */
-  metadata?: unknown | 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/overview) for
-   * descriptions of them.
-   */
-  model?: string;
-
-  /**
-   * The name of the assistant. The maximum length is 256 characters.
-   */
-  name?: string | 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`, `retrieval`, or `function`.
-   */
-  tools?: Array<
-    | AssistantUpdateParams.AssistantToolsCode
-    | AssistantUpdateParams.AssistantToolsRetrieval
-    | AssistantUpdateParams.AssistantToolsFunction
-  >;
-}
-
-export namespace AssistantUpdateParams {
-  export interface AssistantToolsCode {
-    /**
-     * The type of tool being defined: `code_interpreter`
-     */
-    type: 'code_interpreter';
-  }
-
-  export interface AssistantToolsRetrieval {
-    /**
-     * The type of tool being defined: `retrieval`
-     */
-    type: 'retrieval';
-  }
-
-  export interface AssistantToolsFunction {
-    function: Shared.FunctionDefinition;
-
-    /**
-     * The type of tool being defined: `function`
-     */
-    type: 'function';
-  }
-}
-
-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,
-   * ending 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 namespace Assistants {
-  export import Assistant = AssistantsAPI.Assistant;
-  export import AssistantDeleted = AssistantsAPI.AssistantDeleted;
-  export import AssistantsPage = AssistantsAPI.AssistantsPage;
-  export import AssistantCreateParams = AssistantsAPI.AssistantCreateParams;
-  export import AssistantUpdateParams = AssistantsAPI.AssistantUpdateParams;
-  export import AssistantListParams = AssistantsAPI.AssistantListParams;
-  export import Files = FilesAPI.Files;
-  export import AssistantFile = FilesAPI.AssistantFile;
-  export import FileDeleteResponse = FilesAPI.FileDeleteResponse;
-  export import AssistantFilesPage = FilesAPI.AssistantFilesPage;
-  export import FileCreateParams = FilesAPI.FileCreateParams;
-  export import FileListParams = FilesAPI.FileListParams;
-}
diff --git a/src/resources/beta/assistants/files.ts b/src/resources/beta/assistants/files.ts
deleted file mode 100644
index 7de700e50..000000000
--- a/src/resources/beta/assistants/files.ts
+++ /dev/null
@@ -1,154 +0,0 @@
-// File generated from our OpenAPI spec by Stainless.
-
-import * as Core from 'openai/core';
-import { APIResource } from 'openai/resource';
-import { isRequestOptions } from 'openai/core';
-import * as FilesAPI from 'openai/resources/beta/assistants/files';
-import { CursorPage, type CursorPageParams } from 'openai/pagination';
-
-export class Files extends APIResource {
-  /**
-   * Create an assistant file by attaching a
-   * [File](https://platform.openai.com/docs/api-reference/files) to an
-   * [assistant](https://platform.openai.com/docs/api-reference/assistants).
-   */
-  create(
-    assistantId: string,
-    body: FileCreateParams,
-    options?: Core.RequestOptions,
-  ): Core.APIPromise<AssistantFile> {
-    return this._client.post(`/assistants/${assistantId}/files`, {
-      body,
-      ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
-    });
-  }
-
-  /**
-   * Retrieves an AssistantFile.
-   */
-  retrieve(
-    assistantId: string,
-    fileId: string,
-    options?: Core.RequestOptions,
-  ): Core.APIPromise<AssistantFile> {
-    return this._client.get(`/assistants/${assistantId}/files/${fileId}`, {
-      ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
-    });
-  }
-
-  /**
-   * Returns a list of assistant files.
-   */
-  list(
-    assistantId: string,
-    query?: FileListParams,
-    options?: Core.RequestOptions,
-  ): Core.PagePromise<AssistantFilesPage, AssistantFile>;
-  list(
-    assistantId: string,
-    options?: Core.RequestOptions,
-  ): Core.PagePromise<AssistantFilesPage, AssistantFile>;
-  list(
-    assistantId: string,
-    query: FileListParams | Core.RequestOptions = {},
-    options?: Core.RequestOptions,
-  ): Core.PagePromise<AssistantFilesPage, AssistantFile> {
-    if (isRequestOptions(query)) {
-      return this.list(assistantId, {}, query);
-    }
-    return this._client.getAPIList(`/assistants/${assistantId}/files`, AssistantFilesPage, {
-      query,
-      ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
-    });
-  }
-
-  /**
-   * Delete an assistant file.
-   */
-  del(
-    assistantId: string,
-    fileId: string,
-    options?: Core.RequestOptions,
-  ): Core.APIPromise<FileDeleteResponse> {
-    return this._client.delete(`/assistants/${assistantId}/files/${fileId}`, {
-      ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
-    });
-  }
-}
-
-export class AssistantFilesPage extends CursorPage<AssistantFile> {}
-
-/**
- * A list of [Files](https://platform.openai.com/docs/api-reference/files) attached
- * to an `assistant`.
- */
-export interface AssistantFile {
-  /**
-   * The identifier, which can be referenced in API endpoints.
-   */
-  id: string;
-
-  /**
-   * The assistant ID that the file is attached to.
-   */
-  assistant_id: string;
-
-  /**
-   * The Unix timestamp (in seconds) for when the assistant file was created.
-   */
-  created_at: number;
-
-  /**
-   * The object type, which is always `assistant.file`.
-   */
-  object: 'assistant.file';
-}
-
-/**
- * Deletes the association between the assistant and the file, but does not delete
- * the [File](https://platform.openai.com/docs/api-reference/files) object itself.
- */
-export interface FileDeleteResponse {
-  id: string;
-
-  deleted: boolean;
-
-  object: 'assistant.file.deleted';
-}
-
-export interface FileCreateParams {
-  /**
-   * A [File](https://platform.openai.com/docs/api-reference/files) ID (with
-   * `purpose="assistants"`) that the assistant should use. Useful for tools like
-   * `retrieval` and `code_interpreter` that can access files.
-   */
-  file_id: string;
-}
-
-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,
-   * ending 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 namespace Files {
-  export import AssistantFile = FilesAPI.AssistantFile;
-  export import FileDeleteResponse = FilesAPI.FileDeleteResponse;
-  export import AssistantFilesPage = FilesAPI.AssistantFilesPage;
-  export import FileCreateParams = FilesAPI.FileCreateParams;
-  export import FileListParams = FilesAPI.FileListParams;
-}
diff --git a/src/resources/beta/assistants/index.ts b/src/resources/beta/assistants/index.ts
deleted file mode 100644
index 5236bc8de..000000000
--- a/src/resources/beta/assistants/index.ts
+++ /dev/null
@@ -1,19 +0,0 @@
-// File generated from our OpenAPI spec by Stainless.
-
-export {
-  Assistant,
-  AssistantDeleted,
-  AssistantCreateParams,
-  AssistantUpdateParams,
-  AssistantListParams,
-  AssistantsPage,
-  Assistants,
-} from './assistants';
-export {
-  AssistantFile,
-  FileDeleteResponse,
-  FileCreateParams,
-  FileListParams,
-  AssistantFilesPage,
-  Files,
-} from './files';
diff --git a/src/resources/beta/beta.ts b/src/resources/beta/beta.ts
index 5fd99990d..6282d4593 100644
--- a/src/resources/beta/beta.ts
+++ b/src/resources/beta/beta.ts
@@ -1,29 +1,199 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-import { APIResource } from 'openai/resource';
-import * as AssistantsAPI from 'openai/resources/beta/assistants/assistants';
-import * as ChatAPI from 'openai/resources/beta/chat/chat';
-import * as ThreadsAPI from 'openai/resources/beta/threads/threads';
+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);
 }
 
-export namespace Beta {
-  export import Chat = ChatAPI.Chat;
-  export import Assistants = AssistantsAPI.Assistants;
-  export import Assistant = AssistantsAPI.Assistant;
-  export import AssistantDeleted = AssistantsAPI.AssistantDeleted;
-  export import AssistantsPage = AssistantsAPI.AssistantsPage;
-  export import AssistantCreateParams = AssistantsAPI.AssistantCreateParams;
-  export import AssistantUpdateParams = AssistantsAPI.AssistantUpdateParams;
-  export import AssistantListParams = AssistantsAPI.AssistantListParams;
-  export import Threads = ThreadsAPI.Threads;
-  export import Thread = ThreadsAPI.Thread;
-  export import ThreadDeleted = ThreadsAPI.ThreadDeleted;
-  export import ThreadCreateParams = ThreadsAPI.ThreadCreateParams;
-  export import ThreadUpdateParams = ThreadsAPI.ThreadUpdateParams;
-  export import ThreadCreateAndRunParams = ThreadsAPI.ThreadCreateAndRunParams;
+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
index a9cadc681..110ae46cb 100644
--- a/src/resources/beta/chat/chat.ts
+++ b/src/resources/beta/chat/chat.ts
@@ -1,7 +1,7 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-import { APIResource } from 'openai/resource';
-import * as CompletionsAPI from 'openai/resources/beta/chat/completions';
+import { APIResource } from '../../../resource';
+import * as CompletionsAPI from './completions';
 
 export class Chat extends APIResource {
   completions: CompletionsAPI.Completions = new CompletionsAPI.Completions(this._client);
diff --git a/src/resources/beta/chat/completions.ts b/src/resources/beta/chat/completions.ts
index e7f89f5cf..083b9914e 100644
--- a/src/resources/beta/chat/completions.ts
+++ b/src/resources/beta/chat/completions.ts
@@ -1,60 +1,112 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-import * as Core from 'openai/core';
-import { APIResource } from 'openai/resource';
-import { ChatCompletionRunner, ChatCompletionFunctionRunnerParams } from 'openai/lib/ChatCompletionRunner';
-export { ChatCompletionRunner, ChatCompletionFunctionRunnerParams } from 'openai/lib/ChatCompletionRunner';
+import * as Core from '../../../core';
+import { APIResource } from '../../../resource';
+import { ChatCompletionRunner, ChatCompletionFunctionRunnerParams } from '../../../lib/ChatCompletionRunner';
 import {
   ChatCompletionStreamingRunner,
   ChatCompletionStreamingFunctionRunnerParams,
-} from 'openai/lib/ChatCompletionStreamingRunner';
+} 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,
-  ChatCompletionStreamingFunctionRunnerParams,
-} from 'openai/lib/ChatCompletionStreamingRunner';
-import { BaseFunctionsArgs } from 'openai/lib/RunnableFunction';
+  type ChatCompletionStreamingFunctionRunnerParams,
+} from '../../../lib/ChatCompletionStreamingRunner';
 export {
-  RunnableFunction,
-  RunnableFunctions,
-  RunnableFunctionWithParse,
-  RunnableFunctionWithoutParse,
+  type RunnableFunction,
+  type RunnableFunctions,
+  type RunnableFunctionWithParse,
+  type RunnableFunctionWithoutParse,
   ParsingFunction,
   ParsingToolFunction,
-} from 'openai/lib/RunnableFunction';
-import { ChatCompletionToolRunnerParams } from 'openai/lib/ChatCompletionRunner';
-export { ChatCompletionToolRunnerParams } from 'openai/lib/ChatCompletionRunner';
-import { ChatCompletionStreamingToolRunnerParams } from 'openai/lib/ChatCompletionStreamingRunner';
-export { ChatCompletionStreamingToolRunnerParams } from 'openai/lib/ChatCompletionStreamingRunner';
-import { ChatCompletionStream, type ChatCompletionStreamParams } from 'openai/lib/ChatCompletionStream';
-export { ChatCompletionStream, type ChatCompletionStreamParams } from 'openai/lib/ChatCompletionStream';
+} 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<ParsedT> extends ChatCompletionMessage {
+  parsed: ParsedT | null;
+  tool_calls?: Array<ParsedFunctionToolCall>;
+}
+
+export interface ParsedChoice<ParsedT> extends ChatCompletion.Choice {
+  message: ParsedChatCompletionMessage<ParsedT>;
+}
+
+export interface ParsedChatCompletion<ParsedT> extends ChatCompletion {
+  choices: Array<ParsedChoice<ParsedT>>;
+}
+
+export type ChatCompletionParseParams = ChatCompletionCreateParamsNonStreaming;
 
 export class Completions extends APIResource {
+  parse<Params extends ChatCompletionParseParams, ParsedT = ExtractParsedContentFromParams<Params>>(
+    body: Params,
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<ParsedChatCompletion<ParsedT>> {
+    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<FunctionsArgs extends BaseFunctionsArgs>(
     body: ChatCompletionFunctionRunnerParams<FunctionsArgs>,
     options?: Core.RequestOptions,
-  ): ChatCompletionRunner;
+  ): ChatCompletionRunner<null>;
   runFunctions<FunctionsArgs extends BaseFunctionsArgs>(
     body: ChatCompletionStreamingFunctionRunnerParams<FunctionsArgs>,
     options?: Core.RequestOptions,
-  ): ChatCompletionStreamingRunner;
+  ): ChatCompletionStreamingRunner<null>;
   runFunctions<FunctionsArgs extends BaseFunctionsArgs>(
     body:
       | ChatCompletionFunctionRunnerParams<FunctionsArgs>
       | ChatCompletionStreamingFunctionRunnerParams<FunctionsArgs>,
     options?: Core.RequestOptions,
-  ): ChatCompletionRunner | ChatCompletionStreamingRunner {
+  ): ChatCompletionRunner<null> | ChatCompletionStreamingRunner<null> {
     if (body.stream) {
       return ChatCompletionStreamingRunner.runFunctions(
-        this._client.chat.completions,
+        this._client,
         body as ChatCompletionStreamingFunctionRunnerParams<FunctionsArgs>,
         options,
       );
     }
     return ChatCompletionRunner.runFunctions(
-      this._client.chat.completions,
+      this._client,
       body as ChatCompletionFunctionRunnerParams<FunctionsArgs>,
       options,
     );
@@ -69,38 +121,41 @@ export class Completions extends APIResource {
    * For more details and examples, see
    * [the docs](https://github.com/openai/openai-node#automated-function-calls)
    */
-  runTools<FunctionsArgs extends BaseFunctionsArgs>(
-    body: ChatCompletionToolRunnerParams<FunctionsArgs>,
-    options?: Core.RequestOptions,
-  ): ChatCompletionRunner;
-  runTools<FunctionsArgs extends BaseFunctionsArgs>(
-    body: ChatCompletionStreamingToolRunnerParams<FunctionsArgs>,
-    options?: Core.RequestOptions,
-  ): ChatCompletionStreamingRunner;
-  runTools<FunctionsArgs extends BaseFunctionsArgs>(
-    body:
-      | ChatCompletionToolRunnerParams<FunctionsArgs>
-      | ChatCompletionStreamingToolRunnerParams<FunctionsArgs>,
-    options?: Core.RequestOptions,
-  ): ChatCompletionRunner | ChatCompletionStreamingRunner {
+  runTools<
+    Params extends ChatCompletionToolRunnerParams<any>,
+    ParsedT = ExtractParsedContentFromParams<Params>,
+  >(body: Params, options?: RunnerOptions): ChatCompletionRunner<ParsedT>;
+
+  runTools<
+    Params extends ChatCompletionStreamingToolRunnerParams<any>,
+    ParsedT = ExtractParsedContentFromParams<Params>,
+  >(body: Params, options?: RunnerOptions): ChatCompletionStreamingRunner<ParsedT>;
+
+  runTools<
+    Params extends ChatCompletionToolRunnerParams<any> | ChatCompletionStreamingToolRunnerParams<any>,
+    ParsedT = ExtractParsedContentFromParams<Params>,
+  >(
+    body: Params,
+    options?: RunnerOptions,
+  ): ChatCompletionRunner<ParsedT> | ChatCompletionStreamingRunner<ParsedT> {
     if (body.stream) {
       return ChatCompletionStreamingRunner.runTools(
-        this._client.chat.completions,
-        body as ChatCompletionStreamingToolRunnerParams<FunctionsArgs>,
+        this._client,
+        body as ChatCompletionStreamingToolRunnerParams<any>,
         options,
       );
     }
-    return ChatCompletionRunner.runTools(
-      this._client.chat.completions,
-      body as ChatCompletionToolRunnerParams<FunctionsArgs>,
-      options,
-    );
+
+    return ChatCompletionRunner.runTools(this._client, body as ChatCompletionToolRunnerParams<any>, options);
   }
 
   /**
    * Creates a chat completion stream
    */
-  stream(body: ChatCompletionStreamParams, options?: Core.RequestOptions): ChatCompletionStream {
-    return ChatCompletionStream.createChatCompletion(this._client.chat.completions, body, options);
+  stream<Params extends ChatCompletionStreamParams, ParsedT = ExtractParsedContentFromParams<Params>>(
+    body: Params,
+    options?: Core.RequestOptions,
+  ): ChatCompletionStream<ParsedT> {
+    return ChatCompletionStream.createChatCompletion(this._client, body, options);
   }
 }
diff --git a/src/resources/beta/chat/index.ts b/src/resources/beta/chat/index.ts
index 8d0ee40ae..23b1b8ff3 100644
--- a/src/resources/beta/chat/index.ts
+++ b/src/resources/beta/chat/index.ts
@@ -1,4 +1,4 @@
-// File generated from our OpenAPI spec by Stainless.
+// 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
index 4ed7e84b1..b9cef17cb 100644
--- a/src/resources/beta/index.ts
+++ b/src/resources/beta/index.ts
@@ -1,21 +1,39 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 export {
-  Assistant,
-  AssistantDeleted,
-  AssistantCreateParams,
-  AssistantUpdateParams,
-  AssistantListParams,
   AssistantsPage,
   Assistants,
-} from './assistants/index';
+  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 {
-  Thread,
-  ThreadDeleted,
-  ThreadCreateParams,
-  ThreadUpdateParams,
-  ThreadCreateAndRunParams,
   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<ConversationItemContent>;
+
+  /**
+   * 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<ConversationItemInputAudioTranscriptionCompletedEvent.Logprob> | 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<number>;
+
+    /**
+     * 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<ConversationItemInputAudioTranscriptionDeltaEvent.Logprob> | 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<number>;
+
+    /**
+     * 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<ConversationItemContent>;
+
+  /**
+   * 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<RateLimitsUpdatedEvent.RateLimit>;
+
+  /**
+   * 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<ConversationItem>;
+
+  /**
+   * 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<RealtimeAPI.ConversationItemWithReference>;
+
+    /**
+     * 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<Response.Tool>;
+
+    /**
+     * 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<Session.Tool>;
+
+    /**
+     * 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<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. 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<SessionCreateResponse> {
+    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<Session.Tool>;
+
+  /**
+   * 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<SessionCreateResponse.Tool>;
+
+  /**
+   * 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<SessionCreateParams.Tool>;
+
+  /**
+   * 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<TranscriptionSession> {
+    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<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?: 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
index 53e26a5c6..f67a1edde 100644
--- a/src/resources/beta/threads/index.ts
+++ b/src/resources/beta/threads/index.ts
@@ -1,31 +1,73 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 export {
-  MessageContentImageFile,
-  MessageContentText,
-  ThreadMessage,
-  ThreadMessageDeleted,
-  MessageCreateParams,
-  MessageUpdateParams,
-  MessageListParams,
-  ThreadMessagesPage,
+  MessagesPage,
   Messages,
-} from './messages/index';
+  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 {
-  RequiredActionFunctionToolCall,
-  Run,
-  RunCreateParams,
-  RunUpdateParams,
-  RunListParams,
-  RunSubmitToolOutputsParams,
   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 {
-  Thread,
-  ThreadDeleted,
-  ThreadCreateParams,
-  ThreadUpdateParams,
-  ThreadCreateAndRunParams,
   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<Message> {
+    return this._client.post(`/threads/${threadId}/messages`, {
+      body,
+      ...options,
+      headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+    });
+  }
+
+  /**
+   * Retrieve a message.
+   *
+   * @example
+   * ```ts
+   * const message = await client.beta.threads.messages.retrieve(
+   *   'thread_id',
+   *   'message_id',
+   * );
+   * ```
+   */
+  retrieve(threadId: string, messageId: string, options?: Core.RequestOptions): Core.APIPromise<Message> {
+    return this._client.get(`/threads/${threadId}/messages/${messageId}`, {
+      ...options,
+      headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+    });
+  }
+
+  /**
+   * Modifies a message.
+   *
+   * @example
+   * ```ts
+   * const message = await client.beta.threads.messages.update(
+   *   'thread_id',
+   *   'message_id',
+   * );
+   * ```
+   */
+  update(
+    threadId: string,
+    messageId: string,
+    body: MessageUpdateParams,
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<Message> {
+    return this._client.post(`/threads/${threadId}/messages/${messageId}`, {
+      body,
+      ...options,
+      headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+    });
+  }
+
+  /**
+   * Returns a list of messages for a given thread.
+   *
+   * @example
+   * ```ts
+   * // Automatically fetches more pages as needed.
+   * for await (const message of client.beta.threads.messages.list(
+   *   'thread_id',
+   * )) {
+   *   // ...
+   * }
+   * ```
+   */
+  list(
+    threadId: string,
+    query?: MessageListParams,
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<MessagesPage, Message>;
+  list(threadId: string, options?: Core.RequestOptions): Core.PagePromise<MessagesPage, Message>;
+  list(
+    threadId: string,
+    query: MessageListParams | Core.RequestOptions = {},
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<MessagesPage, Message> {
+    if (isRequestOptions(query)) {
+      return this.list(threadId, {}, query);
+    }
+    return this._client.getAPIList(`/threads/${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<MessageDeleted> {
+    return this._client.delete(`/threads/${threadId}/messages/${messageId}`, {
+      ...options,
+      headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+    });
+  }
+}
+
+export class MessagesPage extends CursorPage<Message> {}
+
+/**
+ * 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<Message.Attachment> | 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<MessageContent>;
+
+  /**
+   * 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<AssistantsAPI.CodeInterpreterTool | Attachment.AssistantToolsFileSearchTypeOnly>;
+  }
+
+  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<MessageContentDelta>;
+
+  /**
+   * 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<Annotation>;
+
+  /**
+   * 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<AnnotationDelta>;
+
+  /**
+   * 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<MessageContentPartParam>;
+
+  /**
+   * 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<MessageCreateParams.Attachment> | 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<AssistantsAPI.CodeInterpreterTool | Attachment.FileSearch>;
+  }
+
+  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/messages/files.ts b/src/resources/beta/threads/messages/files.ts
deleted file mode 100644
index 72c01bb97..000000000
--- a/src/resources/beta/threads/messages/files.ts
+++ /dev/null
@@ -1,105 +0,0 @@
-// File generated from our OpenAPI spec by Stainless.
-
-import * as Core from 'openai/core';
-import { APIResource } from 'openai/resource';
-import { isRequestOptions } from 'openai/core';
-import * as FilesAPI from 'openai/resources/beta/threads/messages/files';
-import { CursorPage, type CursorPageParams } from 'openai/pagination';
-
-export class Files extends APIResource {
-  /**
-   * Retrieves a message file.
-   */
-  retrieve(
-    threadId: string,
-    messageId: string,
-    fileId: string,
-    options?: Core.RequestOptions,
-  ): Core.APIPromise<MessageFile> {
-    return this._client.get(`/threads/${threadId}/messages/${messageId}/files/${fileId}`, {
-      ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
-    });
-  }
-
-  /**
-   * Returns a list of message files.
-   */
-  list(
-    threadId: string,
-    messageId: string,
-    query?: FileListParams,
-    options?: Core.RequestOptions,
-  ): Core.PagePromise<MessageFilesPage, MessageFile>;
-  list(
-    threadId: string,
-    messageId: string,
-    options?: Core.RequestOptions,
-  ): Core.PagePromise<MessageFilesPage, MessageFile>;
-  list(
-    threadId: string,
-    messageId: string,
-    query: FileListParams | Core.RequestOptions = {},
-    options?: Core.RequestOptions,
-  ): Core.PagePromise<MessageFilesPage, MessageFile> {
-    if (isRequestOptions(query)) {
-      return this.list(threadId, messageId, {}, query);
-    }
-    return this._client.getAPIList(`/threads/${threadId}/messages/${messageId}/files`, MessageFilesPage, {
-      query,
-      ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
-    });
-  }
-}
-
-export class MessageFilesPage extends CursorPage<MessageFile> {}
-
-/**
- * A list of files attached to a `message`.
- */
-export interface MessageFile {
-  /**
-   * The identifier, which can be referenced in API endpoints.
-   */
-  id: string;
-
-  /**
-   * The Unix timestamp (in seconds) for when the message file was created.
-   */
-  created_at: number;
-
-  /**
-   * The ID of the [message](https://platform.openai.com/docs/api-reference/messages)
-   * that the [File](https://platform.openai.com/docs/api-reference/files) is
-   * attached to.
-   */
-  message_id: string;
-
-  /**
-   * The object type, which is always `thread.message.file`.
-   */
-  object: 'thread.message.file';
-}
-
-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,
-   * ending 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 namespace Files {
-  export import MessageFile = FilesAPI.MessageFile;
-  export import MessageFilesPage = FilesAPI.MessageFilesPage;
-  export import FileListParams = FilesAPI.FileListParams;
-}
diff --git a/src/resources/beta/threads/messages/index.ts b/src/resources/beta/threads/messages/index.ts
deleted file mode 100644
index cde22c2a9..000000000
--- a/src/resources/beta/threads/messages/index.ts
+++ /dev/null
@@ -1,14 +0,0 @@
-// File generated from our OpenAPI spec by Stainless.
-
-export {
-  MessageContentImageFile,
-  MessageContentText,
-  ThreadMessage,
-  ThreadMessageDeleted,
-  MessageCreateParams,
-  MessageUpdateParams,
-  MessageListParams,
-  ThreadMessagesPage,
-  Messages,
-} from './messages';
-export { MessageFile, FileListParams, MessageFilesPage, Files } from './files';
diff --git a/src/resources/beta/threads/messages/messages.ts b/src/resources/beta/threads/messages/messages.ts
deleted file mode 100644
index 40b436829..000000000
--- a/src/resources/beta/threads/messages/messages.ts
+++ /dev/null
@@ -1,343 +0,0 @@
-// File generated from our OpenAPI spec by Stainless.
-
-import * as Core from 'openai/core';
-import { APIResource } from 'openai/resource';
-import { isRequestOptions } from 'openai/core';
-import * as MessagesAPI from 'openai/resources/beta/threads/messages/messages';
-import * as FilesAPI from 'openai/resources/beta/threads/messages/files';
-import { CursorPage, type CursorPageParams } from 'openai/pagination';
-
-export class Messages extends APIResource {
-  files: FilesAPI.Files = new FilesAPI.Files(this._client);
-
-  /**
-   * Create a message.
-   */
-  create(
-    threadId: string,
-    body: MessageCreateParams,
-    options?: Core.RequestOptions,
-  ): Core.APIPromise<ThreadMessage> {
-    return this._client.post(`/threads/${threadId}/messages`, {
-      body,
-      ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
-    });
-  }
-
-  /**
-   * Retrieve a message.
-   */
-  retrieve(
-    threadId: string,
-    messageId: string,
-    options?: Core.RequestOptions,
-  ): Core.APIPromise<ThreadMessage> {
-    return this._client.get(`/threads/${threadId}/messages/${messageId}`, {
-      ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
-    });
-  }
-
-  /**
-   * Modifies a message.
-   */
-  update(
-    threadId: string,
-    messageId: string,
-    body: MessageUpdateParams,
-    options?: Core.RequestOptions,
-  ): Core.APIPromise<ThreadMessage> {
-    return this._client.post(`/threads/${threadId}/messages/${messageId}`, {
-      body,
-      ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
-    });
-  }
-
-  /**
-   * Returns a list of messages for a given thread.
-   */
-  list(
-    threadId: string,
-    query?: MessageListParams,
-    options?: Core.RequestOptions,
-  ): Core.PagePromise<ThreadMessagesPage, ThreadMessage>;
-  list(threadId: string, options?: Core.RequestOptions): Core.PagePromise<ThreadMessagesPage, ThreadMessage>;
-  list(
-    threadId: string,
-    query: MessageListParams | Core.RequestOptions = {},
-    options?: Core.RequestOptions,
-  ): Core.PagePromise<ThreadMessagesPage, ThreadMessage> {
-    if (isRequestOptions(query)) {
-      return this.list(threadId, {}, query);
-    }
-    return this._client.getAPIList(`/threads/${threadId}/messages`, ThreadMessagesPage, {
-      query,
-      ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
-    });
-  }
-}
-
-export class ThreadMessagesPage extends CursorPage<ThreadMessage> {}
-
-/**
- * References an image [File](https://platform.openai.com/docs/api-reference/files)
- * in the content of a message.
- */
-export interface MessageContentImageFile {
-  image_file: MessageContentImageFile.ImageFile;
-
-  /**
-   * Always `image_file`.
-   */
-  type: 'image_file';
-}
-
-export namespace MessageContentImageFile {
-  export interface ImageFile {
-    /**
-     * The [File](https://platform.openai.com/docs/api-reference/files) ID of the image
-     * in the message content.
-     */
-    file_id: string;
-  }
-}
-
-/**
- * The text content that is part of a message.
- */
-export interface MessageContentText {
-  text: MessageContentText.Text;
-
-  /**
-   * Always `text`.
-   */
-  type: 'text';
-}
-
-export namespace MessageContentText {
-  export interface Text {
-    annotations: Array<Text.FileCitation | Text.FilePath>;
-
-    /**
-     * The data that makes up the text.
-     */
-    value: string;
-  }
-
-  export namespace Text {
-    /**
-     * 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 "retrieval" tool to search files.
-     */
-    export interface FileCitation {
-      end_index: number;
-
-      file_citation: FileCitation.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 FileCitation {
-      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 FilePath {
-      end_index: number;
-
-      file_path: FilePath.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 FilePath {
-      export interface FilePath {
-        /**
-         * The ID of the file that was generated.
-         */
-        file_id: string;
-      }
-    }
-  }
-}
-
-/**
- * Represents a message within a
- * [thread](https://platform.openai.com/docs/api-reference/threads).
- */
-export interface ThreadMessage {
-  /**
-   * 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;
-
-  /**
-   * The content of the message in array of text and/or images.
-   */
-  content: Array<MessageContentImageFile | MessageContentText>;
-
-  /**
-   * The Unix timestamp (in seconds) for when the message was created.
-   */
-  created_at: number;
-
-  /**
-   * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs that
-   * the assistant should use. Useful for tools like retrieval and code_interpreter
-   * that can access files. A maximum of 10 files can be attached to a message.
-   */
-  file_ids: Array<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. Keys
-   * can be a maximum of 64 characters long and values can be a maxium of 512
-   * characters long.
-   */
-  metadata: unknown | 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';
-
-  /**
-   * If applicable, the ID of the
-   * [run](https://platform.openai.com/docs/api-reference/runs) associated with the
-   * authoring of this message.
-   */
-  run_id: string | null;
-
-  /**
-   * The [thread](https://platform.openai.com/docs/api-reference/threads) ID that
-   * this message belongs to.
-   */
-  thread_id: string;
-}
-
-export interface ThreadMessageDeleted {
-  id: string;
-
-  deleted: boolean;
-
-  object: 'thread.message.deleted';
-}
-
-export interface MessageCreateParams {
-  /**
-   * The content of the message.
-   */
-  content: string;
-
-  /**
-   * The role of the entity that is creating the message. Currently only `user` is
-   * supported.
-   */
-  role: 'user';
-
-  /**
-   * A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that
-   * the message should use. There can be a maximum of 10 files attached to a
-   * message. Useful for tools like `retrieval` and `code_interpreter` that can
-   * access and use files.
-   */
-  file_ids?: Array<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. Keys
-   * can be a maximum of 64 characters long and values can be a maxium of 512
-   * characters long.
-   */
-  metadata?: unknown | null;
-}
-
-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. Keys
-   * can be a maximum of 64 characters long and values can be a maxium of 512
-   * characters long.
-   */
-  metadata?: unknown | 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,
-   * ending 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 namespace Messages {
-  export import MessageContentImageFile = MessagesAPI.MessageContentImageFile;
-  export import MessageContentText = MessagesAPI.MessageContentText;
-  export import ThreadMessage = MessagesAPI.ThreadMessage;
-  export import ThreadMessageDeleted = MessagesAPI.ThreadMessageDeleted;
-  export import ThreadMessagesPage = MessagesAPI.ThreadMessagesPage;
-  export import MessageCreateParams = MessagesAPI.MessageCreateParams;
-  export import MessageUpdateParams = MessagesAPI.MessageUpdateParams;
-  export import MessageListParams = MessagesAPI.MessageListParams;
-  export import Files = FilesAPI.Files;
-  export import MessageFile = FilesAPI.MessageFile;
-  export import MessageFilesPage = FilesAPI.MessageFilesPage;
-  export import FileListParams = FilesAPI.FileListParams;
-}
diff --git a/src/resources/beta/threads/runs/index.ts b/src/resources/beta/threads/runs/index.ts
index a2261f961..9dbe575bc 100644
--- a/src/resources/beta/threads/runs/index.ts
+++ b/src/resources/beta/threads/runs/index.ts
@@ -1,23 +1,46 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 export {
-  CodeToolCall,
-  FunctionToolCall,
-  MessageCreationStepDetails,
-  RetrievalToolCall,
-  RunStep,
-  ToolCallsStepDetails,
-  StepListParams,
   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 {
-  RequiredActionFunctionToolCall,
-  Run,
-  RunCreateParams,
-  RunUpdateParams,
-  RunListParams,
-  RunSubmitToolOutputsParams,
   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
index 749d2c7f6..25356df3c 100644
--- a/src/resources/beta/threads/runs/runs.ts
+++ b/src/resources/beta/threads/runs/runs.ts
@@ -1,39 +1,117 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-import * as Core from 'openai/core';
-import { APIResource } from 'openai/resource';
-import { isRequestOptions } from 'openai/core';
-import * as RunsAPI from 'openai/resources/beta/threads/runs/runs';
-import * as Shared from 'openai/resources/shared';
-import * as StepsAPI from 'openai/resources/beta/threads/runs/steps';
-import { CursorPage, type CursorPageParams } from 'openai/pagination';
+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, body: RunCreateParams, options?: Core.RequestOptions): Core.APIPromise<Run> {
+  create(
+    threadId: string,
+    params: RunCreateParamsNonStreaming,
+    options?: Core.RequestOptions,
+  ): APIPromise<Run>;
+  create(
+    threadId: string,
+    params: RunCreateParamsStreaming,
+    options?: Core.RequestOptions,
+  ): APIPromise<Stream<AssistantsAPI.AssistantStreamEvent>>;
+  create(
+    threadId: string,
+    params: RunCreateParamsBase,
+    options?: Core.RequestOptions,
+  ): APIPromise<Stream<AssistantsAPI.AssistantStreamEvent> | Run>;
+  create(
+    threadId: string,
+    params: RunCreateParams,
+    options?: Core.RequestOptions,
+  ): APIPromise<Run> | APIPromise<Stream<AssistantsAPI.AssistantStreamEvent>> {
+    const { include, ...body } = params;
     return this._client.post(`/threads/${threadId}/runs`, {
+      query: { include },
       body,
       ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
-    });
+      headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+      stream: params.stream ?? false,
+    }) as APIPromise<Run> | APIPromise<Stream<AssistantsAPI.AssistantStreamEvent>>;
   }
 
   /**
    * 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<Run> {
     return this._client.get(`/threads/${threadId}/runs/${runId}`, {
       ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
+      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,
@@ -44,12 +122,22 @@ export class Runs extends APIResource {
     return this._client.post(`/threads/${threadId}/runs/${runId}`, {
       body,
       ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
+      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,
@@ -68,37 +156,197 @@ export class Runs extends APIResource {
     return this._client.getAPIList(`/threads/${threadId}/runs`, RunsPage, {
       query,
       ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
+      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<Run> {
     return this._client.post(`/threads/${threadId}/runs/${runId}/cancel`, {
       ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
+      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<Run> {
+    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<Run> {
+    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<Run>;
+  submitToolOutputs(
+    threadId: string,
+    runId: string,
+    body: RunSubmitToolOutputsParamsStreaming,
+    options?: Core.RequestOptions,
+  ): APIPromise<Stream<AssistantsAPI.AssistantStreamEvent>>;
+  submitToolOutputs(
+    threadId: string,
+    runId: string,
+    body: RunSubmitToolOutputsParamsBase,
+    options?: Core.RequestOptions,
+  ): APIPromise<Stream<AssistantsAPI.AssistantStreamEvent> | Run>;
   submitToolOutputs(
     threadId: string,
     runId: string,
     body: RunSubmitToolOutputsParams,
     options?: Core.RequestOptions,
-  ): Core.APIPromise<Run> {
+  ): APIPromise<Run> | APIPromise<Stream<AssistantsAPI.AssistantStreamEvent>> {
     return this._client.post(`/threads/${threadId}/runs/${runId}/submit_tool_outputs`, {
       body,
       ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
-    });
+      headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+      stream: body.stream ?? false,
+    }) as APIPromise<Run> | APIPromise<Stream<AssistantsAPI.AssistantStreamEvent>>;
+  }
+
+  /**
+   * 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<Run> {
+    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,
+    );
   }
 }
 
@@ -180,7 +428,7 @@ export interface Run {
   /**
    * The Unix timestamp (in seconds) for when the run will expire.
    */
-  expires_at: number;
+  expires_at: number | null;
 
   /**
    * The Unix timestamp (in seconds) for when the run failed.
@@ -188,11 +436,10 @@ export interface Run {
   failed_at: number | null;
 
   /**
-   * The list of [File](https://platform.openai.com/docs/api-reference/files) IDs the
-   * [assistant](https://platform.openai.com/docs/api-reference/assistants) used for
-   * this run.
+   * Details on why the run is incomplete. Will be `null` if the run is not
+   * incomplete.
    */
-  file_ids: Array<string>;
+  incomplete_details: Run.IncompleteDetails | null;
 
   /**
    * The instructions that the
@@ -206,13 +453,27 @@ export interface Run {
    */
   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. Keys
-   * can be a maximum of 64 characters long and values can be a maxium of 512
-   * characters long.
+   * 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: unknown | null;
+  metadata: Shared.Metadata | null;
 
   /**
    * The model that the
@@ -226,12 +487,43 @@ export interface 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.
    */
@@ -239,18 +531,10 @@ export interface Run {
 
   /**
    * The status of the run, which can be either `queued`, `in_progress`,
-   * `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`, or
-   * `expired`.
+   * `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`,
+   * `incomplete`, or `expired`.
    */
-  status:
-    | 'queued'
-    | 'in_progress'
-    | 'requires_action'
-    | 'cancelling'
-    | 'cancelled'
-    | 'failed'
-    | 'completed'
-    | 'expired';
+  status: RunStatus;
 
   /**
    * The ID of the [thread](https://platform.openai.com/docs/api-reference/threads)
@@ -258,29 +542,68 @@ export interface 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<Run.AssistantToolsCode | Run.AssistantToolsRetrieval | Run.AssistantToolsFunction>;
+  tools: Array<AssistantsAPI.AssistantTool>;
+
+  /**
+   * 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` or `rate_limit_exceeded`.
+     * One of `server_error`, `rate_limit_exceeded`, or `invalid_prompt`.
      */
-    code: 'server_error' | 'rate_limit_exceeded';
+    code: 'server_error' | 'rate_limit_exceeded' | 'invalid_prompt';
 
     /**
      * A human-readable description of the error.
@@ -316,27 +639,24 @@ export namespace Run {
     }
   }
 
-  export interface AssistantToolsCode {
-    /**
-     * The type of tool being defined: `code_interpreter`
-     */
-    type: 'code_interpreter';
-  }
-
-  export interface AssistantToolsRetrieval {
+  /**
+   * 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 type of tool being defined: `retrieval`
+     * 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: 'retrieval';
-  }
-
-  export interface AssistantToolsFunction {
-    function: Shared.FunctionDefinition;
+    type: 'auto' | 'last_messages';
 
     /**
-     * The type of tool being defined: `function`
+     * The number of most recent messages from the thread when constructing the context
+     * for the run.
      */
-    type: 'function';
+    last_messages?: number | null;
   }
 
   /**
@@ -361,96 +681,306 @@ export namespace Run {
   }
 }
 
-export interface RunCreateParams {
+/**
+ * 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 {
   /**
-   * The ID of the
+   * Body param: 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.
+   * 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<StepsAPI.RunStepInclude>;
+
+  /**
+   * 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;
 
   /**
-   * Overrides the
+   * Body param: Adds additional messages to the thread before creating the run.
+   */
+  additional_messages?: Array<RunCreateParams.AdditionalMessage> | 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;
 
   /**
-   * 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.
+   * 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.
    */
-  metadata?: unknown | null;
+  max_completion_tokens?: number | 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.
+   * 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.
    */
-  model?: string | null;
+  max_prompt_tokens?: number | null;
 
   /**
-   * Override the tools the assistant can use for this run. This is useful for
-   * modifying the behavior on a per-run basis.
+   * 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<AssistantsAPI.AssistantTool> | 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.
    */
-  tools?: Array<
-    | RunCreateParams.AssistantToolsCode
-    | RunCreateParams.AssistantToolsRetrieval
-    | RunCreateParams.AssistantToolsFunction
-  > | null;
+  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 AssistantToolsCode {
+  export interface AdditionalMessage {
     /**
-     * The type of tool being defined: `code_interpreter`
+     * The text contents of the message.
      */
-    type: 'code_interpreter';
-  }
+    content: string | Array<MessagesAPI.MessageContentPartParam>;
+
+    /**
+     * 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<AdditionalMessage.Attachment> | null;
 
-  export interface AssistantToolsRetrieval {
     /**
-     * The type of tool being defined: `retrieval`
+     * 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.
      */
-    type: 'retrieval';
+    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<AssistantsAPI.CodeInterpreterTool | Attachment.FileSearch>;
+    }
+
+    export namespace Attachment {
+      export interface FileSearch {
+        /**
+         * The type of tool being defined: `file_search`
+         */
+        type: 'file_search';
+      }
+    }
   }
 
-  export interface AssistantToolsFunction {
-    function: Shared.FunctionDefinition;
+  /**
+   * 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 type of tool being defined: `function`
+     * The number of most recent messages from the thread when constructing the context
+     * for the run.
      */
-    type: 'function';
+    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. Keys
-   * can be a maximum of 64 characters long and values can be a maxium of 512
-   * characters long.
+   * 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?: unknown | null;
+  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,
-   * ending with obj_foo, your subsequent call can include before=obj_foo in order to
-   * fetch the previous page of the list.
+   * starting with obj_foo, your subsequent call can include before=obj_foo in order
+   * to fetch the previous page of the list.
    */
   before?: string;
 
@@ -461,43 +991,775 @@ export interface RunListParams extends CursorPageParams {
   order?: 'asc' | 'desc';
 }
 
-export interface RunSubmitToolOutputsParams {
+export interface RunCreateAndPollParams {
   /**
-   * A list of tools for which the outputs are being submitted.
+   * The ID of the
+   * [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
+   * execute this run.
    */
-  tool_outputs: Array<RunSubmitToolOutputsParams.ToolOutput>;
-}
+  assistant_id: string;
 
-export namespace RunSubmitToolOutputsParams {
-  export interface ToolOutput {
-    /**
-     * The output of the tool call to be submitted to continue the run.
-     */
-    output?: 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;
 
-    /**
-     * 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;
-  }
-}
+  /**
+   * Adds additional messages to the thread before creating the run.
+   */
+  additional_messages?: Array<RunCreateAndPollParams.AdditionalMessage> | 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<AssistantsAPI.AssistantTool> | 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<MessagesAPI.MessageContentPartParam>;
+
+    /**
+     * 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<AdditionalMessage.Attachment> | 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<AssistantsAPI.CodeInterpreterTool | AssistantsAPI.FileSearchTool>;
+    }
+  }
+
+  /**
+   * 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<RunCreateAndStreamParams.AdditionalMessage> | 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<AssistantsAPI.AssistantTool> | 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<MessagesAPI.MessageContentPartParam>;
+
+    /**
+     * 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<AdditionalMessage.Attachment> | 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<AssistantsAPI.CodeInterpreterTool | AssistantsAPI.FileSearchTool>;
+    }
+  }
+
+  /**
+   * 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<RunStreamParams.AdditionalMessage> | 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<AssistantsAPI.AssistantTool> | 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<MessagesAPI.MessageContentPartParam>;
+
+    /**
+     * 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<AdditionalMessage.Attachment> | 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<AssistantsAPI.CodeInterpreterTool | AssistantsAPI.FileSearchTool>;
+    }
+  }
+
+  /**
+   * 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<RunSubmitToolOutputsParams.ToolOutput>;
+
+  /**
+   * 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<RunSubmitToolOutputsAndPollParams.ToolOutput>;
+}
+
+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<RunSubmitToolOutputsStreamParams.ToolOutput>;
+}
+
+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 namespace Runs {
-  export import RequiredActionFunctionToolCall = RunsAPI.RequiredActionFunctionToolCall;
-  export import Run = RunsAPI.Run;
-  export import RunsPage = RunsAPI.RunsPage;
-  export import RunCreateParams = RunsAPI.RunCreateParams;
-  export import RunUpdateParams = RunsAPI.RunUpdateParams;
-  export import RunListParams = RunsAPI.RunListParams;
-  export import RunSubmitToolOutputsParams = RunsAPI.RunSubmitToolOutputsParams;
-  export import Steps = StepsAPI.Steps;
-  export import CodeToolCall = StepsAPI.CodeToolCall;
-  export import FunctionToolCall = StepsAPI.FunctionToolCall;
-  export import MessageCreationStepDetails = StepsAPI.MessageCreationStepDetails;
-  export import RetrievalToolCall = StepsAPI.RetrievalToolCall;
-  export import RunStep = StepsAPI.RunStep;
-  export import ToolCallsStepDetails = StepsAPI.ToolCallsStepDetails;
-  export import RunStepsPage = StepsAPI.RunStepsPage;
-  export import StepListParams = StepsAPI.StepListParams;
+  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
index c574c94d1..abd8d40ed 100644
--- a/src/resources/beta/threads/runs/steps.ts
+++ b/src/resources/beta/threads/runs/steps.ts
@@ -1,29 +1,69 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-import * as Core from 'openai/core';
-import { APIResource } from 'openai/resource';
-import { isRequestOptions } from 'openai/core';
-import * as StepsAPI from 'openai/resources/beta/threads/runs/steps';
-import { CursorPage, type CursorPageParams } from 'openai/pagination';
+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<RunStep>;
+  retrieve(
+    threadId: string,
+    runId: string,
+    stepId: string,
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<RunStep>;
+  retrieve(
+    threadId: string,
+    runId: string,
+    stepId: string,
+    query: StepRetrieveParams | Core.RequestOptions = {},
     options?: Core.RequestOptions,
   ): Core.APIPromise<RunStep> {
+    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=v1', ...options?.headers },
+      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,
@@ -48,17 +88,61 @@ export class Steps extends APIResource {
     return this._client.getAPIList(`/threads/${threadId}/runs/${runId}/steps`, RunStepsPage, {
       query,
       ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
+      headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
     });
   }
 }
 
 export class RunStepsPage extends CursorPage<RunStep> {}
 
+/**
+ * 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 CodeToolCall {
+export interface CodeInterpreterToolCall {
   /**
    * The ID of the tool call.
    */
@@ -67,7 +151,7 @@ export interface CodeToolCall {
   /**
    * The Code Interpreter tool call definition.
    */
-  code_interpreter: CodeToolCall.CodeInterpreter;
+  code_interpreter: CodeInterpreterToolCall.CodeInterpreter;
 
   /**
    * The type of tool call. This is always going to be `code_interpreter` for this
@@ -76,7 +160,7 @@ export interface CodeToolCall {
   type: 'code_interpreter';
 }
 
-export namespace CodeToolCall {
+export namespace CodeInterpreterToolCall {
   /**
    * The Code Interpreter tool call definition.
    */
@@ -131,6 +215,168 @@ export namespace CodeToolCall {
   }
 }
 
+/**
+ * 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<StepsAPI.CodeInterpreterLogs | StepsAPI.CodeInterpreterOutputImage>;
+  }
+}
+
+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<FileSearch.Result>;
+  }
+
+  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<Result.Content>;
+    }
+
+    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.
@@ -173,6 +419,53 @@ export namespace FunctionToolCall {
   }
 }
 
+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.
  */
@@ -194,24 +487,6 @@ export namespace MessageCreationStepDetails {
   }
 }
 
-export interface RetrievalToolCall {
-  /**
-   * The ID of the tool call object.
-   */
-  id: string;
-
-  /**
-   * For now, this is always going to be an empty object.
-   */
-  retrieval: unknown;
-
-  /**
-   * The type of tool call. This is always going to be `retrieval` for this type of
-   * tool call.
-   */
-  type: 'retrieval';
-}
-
 /**
  * Represents a step in execution of a run.
  */
@@ -262,11 +537,13 @@ export interface RunStep {
 
   /**
    * 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.
+   * 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: unknown | null;
+  metadata: Shared.Metadata | null;
 
   /**
    * The object type, which is always `thread.run.step`.
@@ -347,16 +624,97 @@ export namespace RunStep {
   }
 }
 
+/**
+ * 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<ToolCallDelta>;
+}
+
 /**
  * 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`, `retrieval`, or
+   * with one of three types of tools: `code_interpreter`, `file_search`, or
    * `function`.
    */
-  tool_calls: Array<CodeToolCall | RetrievalToolCall | FunctionToolCall>;
+  tool_calls: Array<ToolCall>;
 
   /**
    * Always `tool_calls`.
@@ -364,15 +722,39 @@ export interface ToolCallsStepDetails {
   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<RunStepInclude>;
+}
+
 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,
-   * ending with obj_foo, your subsequent call can include before=obj_foo in order to
-   * fetch the previous page of the list.
+   * 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<RunStepInclude>;
+
   /**
    * Sort order by the `created_at` timestamp of the objects. `asc` for ascending
    * order and `desc` for descending order.
@@ -380,13 +762,30 @@ export interface StepListParams extends CursorPageParams {
   order?: 'asc' | 'desc';
 }
 
-export namespace Steps {
-  export import CodeToolCall = StepsAPI.CodeToolCall;
-  export import FunctionToolCall = StepsAPI.FunctionToolCall;
-  export import MessageCreationStepDetails = StepsAPI.MessageCreationStepDetails;
-  export import RetrievalToolCall = StepsAPI.RetrievalToolCall;
-  export import RunStep = StepsAPI.RunStep;
-  export import ToolCallsStepDetails = StepsAPI.ToolCallsStepDetails;
-  export import RunStepsPage = StepsAPI.RunStepsPage;
-  export import StepListParams = StepsAPI.StepListParams;
+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
index 8bbe1804f..c0c6bc8e4 100644
--- a/src/resources/beta/threads/threads.ts
+++ b/src/resources/beta/threads/threads.ts
@@ -1,12 +1,71 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-import * as Core from 'openai/core';
-import { APIResource } from 'openai/resource';
-import { isRequestOptions } from 'openai/core';
-import * as ThreadsAPI from 'openai/resources/beta/threads/threads';
-import * as Shared from 'openai/resources/shared';
-import * as MessagesAPI from 'openai/resources/beta/threads/messages/messages';
-import * as RunsAPI from 'openai/resources/beta/threads/runs/runs';
+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);
@@ -14,6 +73,11 @@ export class Threads extends APIResource {
 
   /**
    * Create a thread.
+   *
+   * @example
+   * ```ts
+   * const thread = await client.beta.threads.create();
+   * ```
    */
   create(body?: ThreadCreateParams, options?: Core.RequestOptions): Core.APIPromise<Thread>;
   create(options?: Core.RequestOptions): Core.APIPromise<Thread>;
@@ -27,53 +91,179 @@ export class Threads extends APIResource {
     return this._client.post('/threads', {
       body,
       ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
+      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<Thread> {
     return this._client.get(`/threads/${threadId}`, {
       ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
+      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<Thread> {
     return this._client.post(`/threads/${threadId}`, {
       body,
       ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
+      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<ThreadDeleted> {
     return this._client.delete(`/threads/${threadId}`, {
       ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
+      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: ThreadCreateAndRunParams, options?: Core.RequestOptions): Core.APIPromise<RunsAPI.Run> {
+  createAndRun(
+    body: ThreadCreateAndRunParamsNonStreaming,
+    options?: Core.RequestOptions,
+  ): APIPromise<RunsAPI.Run>;
+  createAndRun(
+    body: ThreadCreateAndRunParamsStreaming,
+    options?: Core.RequestOptions,
+  ): APIPromise<Stream<AssistantsAPI.AssistantStreamEvent>>;
+  createAndRun(
+    body: ThreadCreateAndRunParamsBase,
+    options?: Core.RequestOptions,
+  ): APIPromise<Stream<AssistantsAPI.AssistantStreamEvent> | RunsAPI.Run>;
+  createAndRun(
+    body: ThreadCreateAndRunParams,
+    options?: Core.RequestOptions,
+  ): APIPromise<RunsAPI.Run> | APIPromise<Stream<AssistantsAPI.AssistantStreamEvent>> {
     return this._client.post('/threads/runs', {
       body,
       ...options,
-      headers: { 'OpenAI-Beta': 'assistants=v1', ...options?.headers },
-    });
+      headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+      stream: body.stream ?? false,
+    }) as APIPromise<RunsAPI.Run> | APIPromise<Stream<AssistantsAPI.AssistantStreamEvent>>;
+  }
+
+  /**
+   * 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<Threads.Run> {
+    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).
@@ -91,16 +281,61 @@ export interface Thread {
 
   /**
    * 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.
+   * 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: unknown | null;
+  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<string>;
+    }
+
+    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<string>;
+    }
+  }
 }
 
 export interface ThreadDeleted {
@@ -120,45 +355,690 @@ export interface ThreadCreateParams {
 
   /**
    * 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.
+   * 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?: unknown | null;
+  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 content of the message.
+     * The text contents of the message.
      */
-    content: string;
+    content: string | Array<MessagesAPI.MessageContentPartParam>;
 
     /**
-     * The role of the entity that is creating the message. Currently only `user` is
-     * supported.
+     * 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';
+    role: 'user' | 'assistant';
 
     /**
-     * A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that
-     * the message should use. There can be a maximum of 10 files attached to a
-     * message. Useful for tools like `retrieval` and `code_interpreter` that can
-     * access and use files.
+     * A list of files attached to the message, and the tools they should be added to.
      */
-    file_ids?: Array<string>;
+    attachments?: Array<Message.Attachment> | 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.
+     * 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?: unknown | null;
+    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<AssistantsAPI.CodeInterpreterTool | Attachment.FileSearch>;
+    }
+
+    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<string>;
+    }
+
+    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<string>;
+
+      /**
+       * 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<FileSearch.VectorStore>;
+    }
+
+    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<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 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<string>;
+    }
+
+    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<string>;
+    }
+  }
+}
+
+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<AssistantsAPI.AssistantTool> | 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<Thread.Message>;
+
+    /**
+     * 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<MessagesAPI.MessageContentPartParam>;
+
+      /**
+       * 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<Message.Attachment> | 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<AssistantsAPI.CodeInterpreterTool | Attachment.FileSearch>;
+      }
+
+      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<string>;
+      }
+
+      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<string>;
+
+        /**
+         * 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<FileSearch.VectorStore>;
+      }
+
+      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<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 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<string>;
+    }
+
+    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<string>;
+    }
+  }
+
+  /**
+   * 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
@@ -166,9 +1046,300 @@ export interface ThreadUpdateParams {
    * 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 interface ThreadCreateAndRunParams {
+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<Thread.Message>;
+
+    /**
+     * 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<MessagesAPI.MessageContentPartParam>;
+
+      /**
+       * 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<Message.Attachment> | 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<AssistantsAPI.CodeInterpreterTool | AssistantsAPI.FileSearchTool>;
+      }
+    }
+
+    /**
+     * 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<string>;
+      }
+
+      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<string>;
+
+        /**
+         * 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<FileSearch.VectorStore>;
+      }
+
+      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<string>;
+
+          /**
+           * 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<string>;
+    }
+
+    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<string>;
+    }
+  }
+
+  /**
+   * 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
@@ -182,6 +1353,24 @@ export interface ThreadCreateAndRunParams {
    */
   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
@@ -196,25 +1385,105 @@ export interface ThreadCreateAndRunParams {
    * model associated with the assistant. If not, the model associated with the
    * assistant will be used.
    */
-  model?: string | null;
+  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?: ThreadCreateAndRunParams.Thread;
+  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<
-    | ThreadCreateAndRunParams.AssistantToolsCode
-    | ThreadCreateAndRunParams.AssistantToolsRetrieval
-    | ThreadCreateAndRunParams.AssistantToolsFunction
+    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 ThreadCreateAndRunParams {
+export namespace ThreadCreateAndRunStreamParams {
   /**
    * If no thread is provided, an empty thread will be created.
    */
@@ -232,28 +1501,37 @@ export namespace ThreadCreateAndRunParams {
      * 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 content of the message.
+       * The text contents of the message.
        */
-      content: string;
+      content: string | Array<MessagesAPI.MessageContentPartParam>;
 
       /**
-       * The role of the entity that is creating the message. Currently only `user` is
-       * supported.
+       * 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';
+      role: 'user' | 'assistant';
 
       /**
-       * A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that
-       * the message should use. There can be a maximum of 10 files attached to a
-       * message. Useful for tools like `retrieval` and `code_interpreter` that can
-       * access and use files.
+       * A list of files attached to the message, and the tools they should be added to.
        */
-      file_ids?: Array<string>;
+      attachments?: Array<Message.Attachment> | null;
 
       /**
        * Set of 16 key-value pairs that can be attached to an object. This can be useful
@@ -263,53 +1541,214 @@ export namespace ThreadCreateAndRunParams {
        */
       metadata?: unknown | null;
     }
-  }
 
-  export interface AssistantToolsCode {
+    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<AssistantsAPI.CodeInterpreterTool | AssistantsAPI.FileSearchTool>;
+      }
+    }
+
     /**
-     * The type of tool being defined: `code_interpreter`
+     * 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.
      */
-    type: 'code_interpreter';
+    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<string>;
+      }
+
+      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<string>;
+
+        /**
+         * 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<FileSearch.VectorStore>;
+      }
+
+      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<string>;
+
+          /**
+           * 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;
+        }
+      }
+    }
   }
 
-  export interface AssistantToolsRetrieval {
-    /**
-     * The type of tool being defined: `retrieval`
-     */
-    type: 'retrieval';
+  /**
+   * 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<string>;
+    }
+
+    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<string>;
+    }
   }
 
-  export interface AssistantToolsFunction {
-    function: Shared.FunctionDefinition;
+  /**
+   * 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 type of tool being defined: `function`
+     * The number of most recent messages from the thread when constructing the context
+     * for the run.
      */
-    type: 'function';
+    last_messages?: number | null;
   }
 }
 
-export namespace Threads {
-  export import Thread = ThreadsAPI.Thread;
-  export import ThreadDeleted = ThreadsAPI.ThreadDeleted;
-  export import ThreadCreateParams = ThreadsAPI.ThreadCreateParams;
-  export import ThreadUpdateParams = ThreadsAPI.ThreadUpdateParams;
-  export import ThreadCreateAndRunParams = ThreadsAPI.ThreadCreateAndRunParams;
-  export import Runs = RunsAPI.Runs;
-  export import RequiredActionFunctionToolCall = RunsAPI.RequiredActionFunctionToolCall;
-  export import Run = RunsAPI.Run;
-  export import RunsPage = RunsAPI.RunsPage;
-  export import RunCreateParams = RunsAPI.RunCreateParams;
-  export import RunUpdateParams = RunsAPI.RunUpdateParams;
-  export import RunListParams = RunsAPI.RunListParams;
-  export import RunSubmitToolOutputsParams = RunsAPI.RunSubmitToolOutputsParams;
-  export import Messages = MessagesAPI.Messages;
-  export import MessageContentImageFile = MessagesAPI.MessageContentImageFile;
-  export import MessageContentText = MessagesAPI.MessageContentText;
-  export import ThreadMessage = MessagesAPI.ThreadMessage;
-  export import ThreadMessageDeleted = MessagesAPI.ThreadMessageDeleted;
-  export import ThreadMessagesPage = MessagesAPI.ThreadMessagesPage;
-  export import MessageCreateParams = MessagesAPI.MessageCreateParams;
-  export import MessageUpdateParams = MessagesAPI.MessageUpdateParams;
-  export import MessageListParams = MessagesAPI.MessageListParams;
+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
index 07c7700dc..9dbc636d8 100644
--- a/src/resources/chat/chat.ts
+++ b/src/resources/chat/chat.ts
@@ -1,41 +1,109 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-import { APIResource } from 'openai/resource';
-import * as CompletionsAPI from 'openai/resources/chat/completions';
+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 namespace Chat {
-  export import Completions = CompletionsAPI.Completions;
-  export import ChatCompletion = CompletionsAPI.ChatCompletion;
-  export import ChatCompletionAssistantMessageParam = CompletionsAPI.ChatCompletionAssistantMessageParam;
-  export import ChatCompletionChunk = CompletionsAPI.ChatCompletionChunk;
-  export import ChatCompletionContentPart = CompletionsAPI.ChatCompletionContentPart;
-  export import ChatCompletionContentPartImage = CompletionsAPI.ChatCompletionContentPartImage;
-  export import ChatCompletionContentPartText = CompletionsAPI.ChatCompletionContentPartText;
-  export import ChatCompletionFunctionCallOption = CompletionsAPI.ChatCompletionFunctionCallOption;
-  export import ChatCompletionFunctionMessageParam = CompletionsAPI.ChatCompletionFunctionMessageParam;
-  export import ChatCompletionMessage = CompletionsAPI.ChatCompletionMessage;
-  export import ChatCompletionMessageParam = CompletionsAPI.ChatCompletionMessageParam;
-  export import ChatCompletionMessageToolCall = CompletionsAPI.ChatCompletionMessageToolCall;
-  export import ChatCompletionNamedToolChoice = CompletionsAPI.ChatCompletionNamedToolChoice;
-  export import ChatCompletionRole = CompletionsAPI.ChatCompletionRole;
-  export import ChatCompletionSystemMessageParam = CompletionsAPI.ChatCompletionSystemMessageParam;
-  export import ChatCompletionTokenLogprob = CompletionsAPI.ChatCompletionTokenLogprob;
-  export import ChatCompletionTool = CompletionsAPI.ChatCompletionTool;
-  export import ChatCompletionToolChoiceOption = CompletionsAPI.ChatCompletionToolChoiceOption;
-  export import ChatCompletionToolMessageParam = CompletionsAPI.ChatCompletionToolMessageParam;
-  export import ChatCompletionUserMessageParam = CompletionsAPI.ChatCompletionUserMessageParam;
-  /**
-   * @deprecated ChatCompletionMessageParam should be used instead
-   */
-  export import CreateChatCompletionRequestMessage = CompletionsAPI.CreateChatCompletionRequestMessage;
-  export import ChatCompletionCreateParams = CompletionsAPI.ChatCompletionCreateParams;
-  export import CompletionCreateParams = CompletionsAPI.CompletionCreateParams;
-  export import ChatCompletionCreateParamsNonStreaming = CompletionsAPI.ChatCompletionCreateParamsNonStreaming;
-  export import CompletionCreateParamsNonStreaming = CompletionsAPI.CompletionCreateParamsNonStreaming;
-  export import ChatCompletionCreateParamsStreaming = CompletionsAPI.ChatCompletionCreateParamsStreaming;
-  export import CompletionCreateParamsStreaming = CompletionsAPI.CompletionCreateParamsStreaming;
+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
index 2a5216745..55b151e8b 100644
--- a/src/resources/chat/completions.ts
+++ b/src/resources/chat/completions.ts
@@ -1,976 +1 @@
-// File generated from our OpenAPI spec by Stainless.
-
-import * as Core from 'openai/core';
-import { APIPromise } from 'openai/core';
-import { APIResource } from 'openai/resource';
-import * as ChatCompletionsAPI from 'openai/resources/chat/completions';
-import * as CompletionsAPI from 'openai/resources/completions';
-import * as Shared from 'openai/resources/shared';
-import { Stream } from 'openai/streaming';
-
-export class Completions extends APIResource {
-  /**
-   * Creates a model response for the given chat conversation.
-   */
-  create(
-    body: ChatCompletionCreateParamsNonStreaming,
-    options?: Core.RequestOptions,
-  ): APIPromise<ChatCompletion>;
-  create(
-    body: ChatCompletionCreateParamsStreaming,
-    options?: Core.RequestOptions,
-  ): APIPromise<Stream<ChatCompletionChunk>>;
-  create(
-    body: ChatCompletionCreateParamsBase,
-    options?: Core.RequestOptions,
-  ): APIPromise<Stream<ChatCompletionChunk> | ChatCompletion>;
-  create(
-    body: ChatCompletionCreateParams,
-    options?: Core.RequestOptions,
-  ): APIPromise<ChatCompletion> | APIPromise<Stream<ChatCompletionChunk>> {
-    return this._client.post('/chat/completions', { body, ...options, stream: body.stream ?? false }) as
-      | APIPromise<ChatCompletion>
-      | APIPromise<Stream<ChatCompletionChunk>>;
-  }
-}
-
-/**
- * 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<ChatCompletion.Choice>;
-
-  /**
-   * 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';
-
-  /**
-   * 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: ChatCompletionsAPI.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<ChatCompletionsAPI.ChatCompletionTokenLogprob> | null;
-    }
-  }
-}
-
-export interface ChatCompletionAssistantMessageParam {
-  /**
-   * The role of the messages author, in this case `assistant`.
-   */
-  role: 'assistant';
-
-  /**
-   * The contents of the assistant message. Required unless `tool_calls` or
-   * `function_call` is specified.
-   */
-  content?: string | null;
-
-  /**
-   * 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;
-
-  /**
-   * An optional name for the participant. Provides the model information to
-   * differentiate between participants of the same role.
-   */
-  name?: string;
-
-  /**
-   * The tool calls generated by the model, such as function calls.
-   */
-  tool_calls?: Array<ChatCompletionMessageToolCall>;
-}
-
-export namespace ChatCompletionAssistantMessageParam {
-  /**
-   * 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;
-  }
-}
-
-/**
- * Represents a streamed chunk of a chat completion response returned by model,
- * based on the provided input.
- */
-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 be more than one if `n` is greater
-   * than 1.
-   */
-  choices: Array<ChatCompletionChunk.Choice>;
-
-  /**
-   * 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';
-
-  /**
-   * 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 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 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 role of the author of this message.
-       */
-      role?: 'system' | 'user' | 'assistant' | 'tool';
-
-      tool_calls?: Array<Delta.ToolCall>;
-    }
-
-    export namespace Delta {
-      /**
-       * 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<ChatCompletionsAPI.ChatCompletionTokenLogprob> | null;
-    }
-  }
-}
-
-export type ChatCompletionContentPart = ChatCompletionContentPartText | ChatCompletionContentPartImage;
-
-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';
-  }
-}
-
-export interface ChatCompletionContentPartText {
-  /**
-   * The text content.
-   */
-  text: string;
-
-  /**
-   * The type of the content part.
-   */
-  type: 'text';
-}
-
-/**
- * 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;
-}
-
-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 role of the author of this message.
-   */
-  role: 'assistant';
-
-  /**
-   * 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;
-
-  /**
-   * The tool calls generated by the model, such as function calls.
-   */
-  tool_calls?: Array<ChatCompletionMessageToolCall>;
-}
-
-export namespace ChatCompletionMessage {
-  /**
-   * 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 type ChatCompletionMessageParam =
-  | 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;
-  }
-}
-
-/**
- * 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;
-  }
-}
-
-/**
- * The role of the author of a message
- */
-export type ChatCompletionRole = 'system' | 'user' | 'assistant' | 'tool' | 'function';
-
-export interface ChatCompletionSystemMessageParam {
-  /**
-   * The contents of the system message.
-   */
-  content: string;
-
-  /**
-   * 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<number> | null;
-
-  /**
-   * The log probability of this token.
-   */
-  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<ChatCompletionTokenLogprob.TopLogprob>;
-}
-
-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<number> | null;
-
-    /**
-     * The log probability of this token.
-     */
-    logprob: number;
-  }
-}
-
-export interface ChatCompletionTool {
-  function: Shared.FunctionDefinition;
-
-  /**
-   * The type of the tool. Currently, only `function` is supported.
-   */
-  type: 'function';
-}
-
-/**
- * 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
- * `{"type": "function", "function": {"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.
- */
-export type ChatCompletionToolChoiceOption = 'none' | 'auto' | ChatCompletionNamedToolChoice;
-
-export interface ChatCompletionToolMessageParam {
-  /**
-   * The contents of the tool message.
-   */
-  content: string;
-
-  /**
-   * The role of the messages author, in this case `tool`.
-   */
-  role: 'tool';
-
-  /**
-   * Tool call that this message is responding to.
-   */
-  tool_call_id: string;
-}
-
-export interface ChatCompletionUserMessageParam {
-  /**
-   * The contents of the user message.
-   */
-  content: string | Array<ChatCompletionContentPart>;
-
-  /**
-   * 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 ChatCompletionCreateParams =
-  | ChatCompletionCreateParamsNonStreaming
-  | ChatCompletionCreateParamsStreaming;
-
-export interface ChatCompletionCreateParamsBase {
-  /**
-   * A list of messages comprising the conversation so far.
-   * [Example Python code](https://cookbook.openai.com/examples/how_to_format_inputs_to_chatgpt_models).
-   */
-  messages: Array<ChatCompletionMessageParam>;
-
-  /**
-   * ID of the model to use. See the
-   * [model endpoint compatibility](https://platform.openai.com/docs/models/model-endpoint-compatibility)
-   * table for details on which models work with the Chat API.
-   */
-  model:
-    | (string & {})
-    | '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';
-
-  /**
-   * 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/parameter-details)
-   */
-  frequency_penalty?: number | null;
-
-  /**
-   * 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 in favor of `tools`.
-   *
-   * A list of functions the model may generate JSON inputs for.
-   */
-  functions?: Array<ChatCompletionCreateParams.Function>;
-
-  /**
-   * 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<string, number> | 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`. This option is currently not available on the `gpt-4-vision-preview`
-   * model.
-   */
-  logprobs?: boolean | null;
-
-  /**
-   * The maximum number of [tokens](/tokenizer) that can be generated in the chat
-   * completion.
-   *
-   * The total length of input tokens and generated tokens is limited by 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 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;
-
-  /**
-   * 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/parameter-details)
-   */
-  presence_penalty?: number | null;
-
-  /**
-   * An object specifying the format that the model must output. Compatible with
-   * [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo) and
-   * all GPT-3.5 Turbo models newer than `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?: ChatCompletionCreateParams.ResponseFormat;
-
-  /**
-   * 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;
-
-  /**
-   * Up to 4 sequences where the API will stop generating further tokens.
-   */
-  stop?: string | null | Array<string>;
-
-  /**
-   * If set, partial message deltas will be sent, like in ChatGPT. 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;
-
-  /**
-   * 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) 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
-   * `{"type": "function", "function": {"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.
-   */
-  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.
-   */
-  tools?: Array<ChatCompletionTool>;
-
-  /**
-   * An integer between 0 and 5 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;
-}
-
-export namespace ChatCompletionCreateParams {
-  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/text-generation/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;
-  }
-
-  /**
-   * An object specifying the format that the model must output. Compatible with
-   * [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo) and
-   * all GPT-3.5 Turbo models newer than `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.
-   */
-  export interface ResponseFormat {
-    /**
-     * Must be one of `text` or `json_object`.
-     */
-    type?: 'text' | 'json_object';
-  }
-
-  export type ChatCompletionCreateParamsNonStreaming =
-    ChatCompletionsAPI.ChatCompletionCreateParamsNonStreaming;
-  export type ChatCompletionCreateParamsStreaming = ChatCompletionsAPI.ChatCompletionCreateParamsStreaming;
-}
-
-/**
- * @deprecated Use ChatCompletionCreateParams instead
- */
-export type CompletionCreateParams = ChatCompletionCreateParams;
-
-export interface ChatCompletionCreateParamsNonStreaming extends ChatCompletionCreateParamsBase {
-  /**
-   * If set, partial message deltas will be sent, like in ChatGPT. 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;
-}
-
-/**
- * @deprecated Use ChatCompletionCreateParamsNonStreaming instead
- */
-export type CompletionCreateParamsNonStreaming = ChatCompletionCreateParamsNonStreaming;
-
-export interface ChatCompletionCreateParamsStreaming extends ChatCompletionCreateParamsBase {
-  /**
-   * If set, partial message deltas will be sent, like in ChatGPT. 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;
-}
-
-/**
- * @deprecated Use ChatCompletionCreateParamsStreaming instead
- */
-export type CompletionCreateParamsStreaming = ChatCompletionCreateParamsStreaming;
-
-export namespace Completions {
-  export import ChatCompletion = ChatCompletionsAPI.ChatCompletion;
-  export import ChatCompletionAssistantMessageParam = ChatCompletionsAPI.ChatCompletionAssistantMessageParam;
-  export import ChatCompletionChunk = ChatCompletionsAPI.ChatCompletionChunk;
-  export import ChatCompletionContentPart = ChatCompletionsAPI.ChatCompletionContentPart;
-  export import ChatCompletionContentPartImage = ChatCompletionsAPI.ChatCompletionContentPartImage;
-  export import ChatCompletionContentPartText = ChatCompletionsAPI.ChatCompletionContentPartText;
-  export import ChatCompletionFunctionCallOption = ChatCompletionsAPI.ChatCompletionFunctionCallOption;
-  export import ChatCompletionFunctionMessageParam = ChatCompletionsAPI.ChatCompletionFunctionMessageParam;
-  export import ChatCompletionMessage = ChatCompletionsAPI.ChatCompletionMessage;
-  export import ChatCompletionMessageParam = ChatCompletionsAPI.ChatCompletionMessageParam;
-  export import ChatCompletionMessageToolCall = ChatCompletionsAPI.ChatCompletionMessageToolCall;
-  export import ChatCompletionNamedToolChoice = ChatCompletionsAPI.ChatCompletionNamedToolChoice;
-  export import ChatCompletionRole = ChatCompletionsAPI.ChatCompletionRole;
-  export import ChatCompletionSystemMessageParam = ChatCompletionsAPI.ChatCompletionSystemMessageParam;
-  export import ChatCompletionTokenLogprob = ChatCompletionsAPI.ChatCompletionTokenLogprob;
-  export import ChatCompletionTool = ChatCompletionsAPI.ChatCompletionTool;
-  export import ChatCompletionToolChoiceOption = ChatCompletionsAPI.ChatCompletionToolChoiceOption;
-  export import ChatCompletionToolMessageParam = ChatCompletionsAPI.ChatCompletionToolMessageParam;
-  export import ChatCompletionUserMessageParam = ChatCompletionsAPI.ChatCompletionUserMessageParam;
-  /**
-   * @deprecated ChatCompletionMessageParam should be used instead
-   */
-  export import CreateChatCompletionRequestMessage = ChatCompletionsAPI.CreateChatCompletionRequestMessage;
-  export import ChatCompletionCreateParams = ChatCompletionsAPI.ChatCompletionCreateParams;
-  export import CompletionCreateParams = ChatCompletionsAPI.CompletionCreateParams;
-  export import ChatCompletionCreateParamsNonStreaming = ChatCompletionsAPI.ChatCompletionCreateParamsNonStreaming;
-  export import CompletionCreateParamsNonStreaming = ChatCompletionsAPI.CompletionCreateParamsNonStreaming;
-  export import ChatCompletionCreateParamsStreaming = ChatCompletionsAPI.ChatCompletionCreateParamsStreaming;
-  export import CompletionCreateParamsStreaming = ChatCompletionsAPI.CompletionCreateParamsStreaming;
-}
+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<ChatCompletion>;
+  create(
+    body: ChatCompletionCreateParamsStreaming,
+    options?: Core.RequestOptions,
+  ): APIPromise<Stream<ChatCompletionChunk>>;
+  create(
+    body: ChatCompletionCreateParamsBase,
+    options?: Core.RequestOptions,
+  ): APIPromise<Stream<ChatCompletionChunk> | ChatCompletion>;
+  create(
+    body: ChatCompletionCreateParams,
+    options?: Core.RequestOptions,
+  ): APIPromise<ChatCompletion> | APIPromise<Stream<ChatCompletionChunk>> {
+    return this._client.post('/chat/completions', { body, ...options, stream: body.stream ?? false }) as
+      | APIPromise<ChatCompletion>
+      | APIPromise<Stream<ChatCompletionChunk>>;
+  }
+
+  /**
+   * 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<ChatCompletion> {
+    return this._client.get(`/chat/completions/${completionId}`, options);
+  }
+
+  /**
+   * Modify a stored chat completion. Only Chat Completions that have been created
+   * with the `store` parameter set to `true` can be modified. Currently, the only
+   * supported modification is to update the `metadata` field.
+   *
+   * @example
+   * ```ts
+   * const chatCompletion = await client.chat.completions.update(
+   *   'completion_id',
+   *   { metadata: { foo: 'string' } },
+   * );
+   * ```
+   */
+  update(
+    completionId: string,
+    body: ChatCompletionUpdateParams,
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<ChatCompletion> {
+    return this._client.post(`/chat/completions/${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<ChatCompletionsPage, ChatCompletion>;
+  list(options?: Core.RequestOptions): Core.PagePromise<ChatCompletionsPage, ChatCompletion>;
+  list(
+    query: ChatCompletionListParams | Core.RequestOptions = {},
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<ChatCompletionsPage, ChatCompletion> {
+    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<ChatCompletionDeleted> {
+    return this._client.delete(`/chat/completions/${completionId}`, options);
+  }
+}
+
+export class ChatCompletionsPage extends CursorPage<ChatCompletion> {}
+
+export class ChatCompletionStoreMessagesPage extends CursorPage<ChatCompletionStoreMessage> {}
+
+/**
+ * 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<ChatCompletion.Choice>;
+
+  /**
+   * 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<CompletionsCompletionsAPI.ChatCompletionTokenLogprob> | null;
+
+      /**
+       * A list of message refusal tokens with log probability information.
+       */
+      refusal: Array<CompletionsCompletionsAPI.ChatCompletionTokenLogprob> | 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<ChatCompletionContentPartText | ChatCompletionContentPartRefusal> | 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<ChatCompletionMessageToolCall>;
+}
+
+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<ChatCompletionChunk.Choice>;
+
+  /**
+   * 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<Delta.ToolCall>;
+    }
+
+    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<CompletionsCompletionsAPI.ChatCompletionTokenLogprob> | null;
+
+      /**
+       * A list of message refusal tokens with log probability information.
+       */
+      refusal: Array<CompletionsCompletionsAPI.ChatCompletionTokenLogprob> | 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<ChatCompletionContentPartText>;
+
+  /**
+   * 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<ChatCompletionMessage.Annotation>;
+
+  /**
+   * 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<ChatCompletionMessageToolCall>;
+}
+
+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<ChatCompletionContentPartText>;
+
+  /**
+   * 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<ChatCompletionContentPartText>;
+
+  /**
+   * 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<number> | 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<ChatCompletionTokenLogprob.TopLogprob>;
+}
+
+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<number> | 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<ChatCompletionContentPartText>;
+
+  /**
+   * 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<ChatCompletionContentPart>;
+
+  /**
+   * 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<ChatCompletionMessageParam>;
+
+  /**
+   * 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<ChatCompletionCreateParams.Function>;
+
+  /**
+   * 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<string, number> | 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<string>;
+
+  /**
+   * 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<ChatCompletionTool>;
+
+  /**
+   * 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<ChatCompletionStoreMessagesPage, CompletionsAPI.ChatCompletionStoreMessage>;
+  list(
+    completionId: string,
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<ChatCompletionStoreMessagesPage, CompletionsAPI.ChatCompletionStoreMessage>;
+  list(
+    completionId: string,
+    query: MessageListParams | Core.RequestOptions = {},
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<ChatCompletionStoreMessagesPage, CompletionsAPI.ChatCompletionStoreMessage> {
+    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
index b8b69e453..62ca758e0 100644
--- a/src/resources/chat/index.ts
+++ b/src/resources/chat/index.ts
@@ -1,32 +1,48 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 export { Chat } from './chat';
 export {
-  ChatCompletion,
-  ChatCompletionAssistantMessageParam,
-  ChatCompletionChunk,
-  ChatCompletionContentPart,
-  ChatCompletionContentPartImage,
-  ChatCompletionContentPartText,
-  ChatCompletionFunctionCallOption,
-  ChatCompletionFunctionMessageParam,
-  ChatCompletionMessage,
-  ChatCompletionMessageParam,
-  ChatCompletionMessageToolCall,
-  ChatCompletionNamedToolChoice,
-  ChatCompletionRole,
-  ChatCompletionSystemMessageParam,
-  ChatCompletionTokenLogprob,
-  ChatCompletionTool,
-  ChatCompletionToolChoiceOption,
-  ChatCompletionToolMessageParam,
-  ChatCompletionUserMessageParam,
-  CreateChatCompletionRequestMessage,
-  ChatCompletionCreateParams,
-  CompletionCreateParams,
-  ChatCompletionCreateParamsNonStreaming,
-  CompletionCreateParamsNonStreaming,
-  ChatCompletionCreateParamsStreaming,
-  CompletionCreateParamsStreaming,
+  ChatCompletionStoreMessagesPage,
+  ChatCompletionsPage,
   Completions,
-} from './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
index f3e262f5f..07cb49ed9 100644
--- a/src/resources/completions.ts
+++ b/src/resources/completions.ts
@@ -1,14 +1,23 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-import * as Core from 'openai/core';
-import { APIPromise } from 'openai/core';
-import { APIResource } from 'openai/resource';
-import * as CompletionsAPI from 'openai/resources/completions';
-import { Stream } from 'openai/streaming';
+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<Completion>;
   create(
@@ -119,6 +128,62 @@ export interface CompletionUsage {
    * 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;
@@ -128,8 +193,8 @@ 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/overview) for
-   * descriptions of them.
+   * [Model overview](https://platform.openai.com/docs/models) for descriptions of
+   * them.
    */
   model: (string & {}) | 'gpt-3.5-turbo-instruct' | 'davinci-002' | 'babbage-002';
 
@@ -166,7 +231,7 @@ export interface CompletionCreateParamsBase {
    * 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/parameter-details)
+   * [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation)
    */
   frequency_penalty?: number | null;
 
@@ -221,7 +286,7 @@ export interface CompletionCreateParamsBase {
    * 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/parameter-details)
+   * [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation)
    */
   presence_penalty?: number | null;
 
@@ -236,6 +301,8 @@ export interface CompletionCreateParamsBase {
   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.
    */
@@ -251,8 +318,15 @@ export interface CompletionCreateParamsBase {
    */
   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;
 
@@ -277,7 +351,7 @@ export interface CompletionCreateParamsBase {
   /**
    * 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).
+   * [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
    */
   user?: string;
 }
@@ -311,11 +385,13 @@ export interface CompletionCreateParamsStreaming extends CompletionCreateParamsB
   stream: true;
 }
 
-export namespace Completions {
-  export import Completion = CompletionsAPI.Completion;
-  export import CompletionChoice = CompletionsAPI.CompletionChoice;
-  export import CompletionUsage = CompletionsAPI.CompletionUsage;
-  export import CompletionCreateParams = CompletionsAPI.CompletionCreateParams;
-  export import CompletionCreateParamsNonStreaming = CompletionsAPI.CompletionCreateParamsNonStreaming;
-  export import CompletionCreateParamsStreaming = CompletionsAPI.CompletionCreateParamsStreaming;
+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
index 3f59d2a7c..fb02a7654 100644
--- a/src/resources/embeddings.ts
+++ b/src/resources/embeddings.ts
@@ -1,18 +1,64 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-import * as Core from 'openai/core';
-import { APIResource } from 'openai/resource';
-import * as EmbeddingsAPI from 'openai/resources/embeddings';
+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,
+    options?: Core.RequestOptions<EmbeddingCreateParams>,
   ): Core.APIPromise<CreateEmbeddingResponse> {
-    return this._client.post('/embeddings', { body, ...options });
+    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<CreateEmbeddingResponse> = 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<CreateEmbeddingResponse>)._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;
+    });
   }
 }
 
@@ -77,15 +123,19 @@ export interface 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
-   * `text-embedding-ada-002`), cannot be an empty string, and any array must be 2048
+   * 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.
+   * 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<string> | Array<number> | Array<Array<number>>;
 
@@ -93,10 +143,10 @@ export interface EmbeddingCreateParams {
    * 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/overview) for
-   * descriptions of them.
+   * [Model overview](https://platform.openai.com/docs/models) for descriptions of
+   * them.
    */
-  model: (string & {}) | 'text-embedding-ada-002' | 'text-embedding-3-small' | 'text-embedding-3-large';
+  model: (string & {}) | EmbeddingModel;
 
   /**
    * The number of dimensions the resulting output embeddings should have. Only
@@ -113,13 +163,16 @@ export interface EmbeddingCreateParams {
   /**
    * 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).
+   * [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
    */
   user?: string;
 }
 
-export namespace Embeddings {
-  export import CreateEmbeddingResponse = EmbeddingsAPI.CreateEmbeddingResponse;
-  export import Embedding = EmbeddingsAPI.Embedding;
-  export import EmbeddingCreateParams = EmbeddingsAPI.EmbeddingCreateParams;
+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<EvalCreateResponse> {
+    return this._client.post('/evals', { body, ...options });
+  }
+
+  /**
+   * Get an evaluation by ID.
+   */
+  retrieve(evalId: string, options?: Core.RequestOptions): Core.APIPromise<EvalRetrieveResponse> {
+    return this._client.get(`/evals/${evalId}`, options);
+  }
+
+  /**
+   * Update certain properties of an evaluation.
+   */
+  update(
+    evalId: string,
+    body: EvalUpdateParams,
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<EvalUpdateResponse> {
+    return this._client.post(`/evals/${evalId}`, { body, ...options });
+  }
+
+  /**
+   * List evaluations for a project.
+   */
+  list(
+    query?: EvalListParams,
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<EvalListResponsesPage, EvalListResponse>;
+  list(options?: Core.RequestOptions): Core.PagePromise<EvalListResponsesPage, EvalListResponse>;
+  list(
+    query: EvalListParams | Core.RequestOptions = {},
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<EvalListResponsesPage, EvalListResponse> {
+    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<EvalDeleteResponse> {
+    return this._client.delete(`/evals/${evalId}`, options);
+  }
+}
+
+export class EvalListResponsesPage extends CursorPage<EvalListResponse> {}
+
+/**
+ * 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<string, unknown>;
+
+  /**
+   * 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<string, unknown>;
+
+  /**
+   * 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<string, unknown>;
+
+    /**
+     * 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<string, unknown>;
+
+    /**
+     * 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<string, unknown>;
+
+    /**
+     * 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<string, unknown>;
+
+    /**
+     * 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<string, unknown>;
+
+    /**
+     * 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<string, unknown>;
+  }
+
+  /**
+   * @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<string, unknown>;
+  }
+
+  /**
+   * 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<LabelModel.SimpleInputMessage | LabelModel.EvalItem>;
+
+    /**
+     * The labels to classify to each item in the evaluation.
+     */
+    labels: Array<string>;
+
+    /**
+     * 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<string>;
+
+    /**
+     * 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<OutputItemRetrieveResponse> {
+    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<OutputItemListResponsesPage, OutputItemListResponse>;
+  list(
+    evalId: string,
+    runId: string,
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<OutputItemListResponsesPage, OutputItemListResponse>;
+  list(
+    evalId: string,
+    runId: string,
+    query: OutputItemListParams | Core.RequestOptions = {},
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<OutputItemListResponsesPage, OutputItemListResponse> {
+    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<OutputItemListResponse> {}
+
+/**
+ * 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<string, unknown>;
+
+  /**
+   * 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<Record<string, unknown>>;
+
+  /**
+   * 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<Sample.Input>;
+
+    /**
+     * 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<Sample.Output>;
+
+    /**
+     * 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<string, unknown>;
+
+  /**
+   * 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<Record<string, unknown>>;
+
+  /**
+   * 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<Sample.Input>;
+
+    /**
+     * 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<Sample.Output>;
+
+    /**
+     * 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<RunCreateResponse> {
+    return this._client.post(`/evals/${evalId}/runs`, { body, ...options });
+  }
+
+  /**
+   * Get an evaluation run by ID.
+   */
+  retrieve(
+    evalId: string,
+    runId: string,
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<RunRetrieveResponse> {
+    return this._client.get(`/evals/${evalId}/runs/${runId}`, options);
+  }
+
+  /**
+   * Get a list of runs for an evaluation.
+   */
+  list(
+    evalId: string,
+    query?: RunListParams,
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<RunListResponsesPage, RunListResponse>;
+  list(
+    evalId: string,
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<RunListResponsesPage, RunListResponse>;
+  list(
+    evalId: string,
+    query: RunListParams | Core.RequestOptions = {},
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<RunListResponsesPage, RunListResponse> {
+    if (isRequestOptions(query)) {
+      return this.list(evalId, {}, query);
+    }
+    return this._client.getAPIList(`/evals/${evalId}/runs`, RunListResponsesPage, { query, ...options });
+  }
+
+  /**
+   * Delete an eval run.
+   */
+  del(evalId: string, runId: string, options?: Core.RequestOptions): Core.APIPromise<RunDeleteResponse> {
+    return this._client.delete(`/evals/${evalId}/runs/${runId}`, options);
+  }
+
+  /**
+   * Cancel an ongoing evaluation run.
+   */
+  cancel(evalId: string, runId: string, options?: Core.RequestOptions): Core.APIPromise<RunCancelResponse> {
+    return this._client.post(`/evals/${evalId}/runs/${runId}`, options);
+  }
+}
+
+export class RunListResponsesPage extends CursorPage<RunListResponse> {}
+
+/**
+ * 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<FileContent.Content>;
+
+    /**
+     * The type of jsonl source. Always `file_content`.
+     */
+    type: 'file_content';
+  }
+
+  export namespace FileContent {
+    export interface Content {
+      item: Record<string, unknown>;
+
+      sample?: Record<string, unknown>;
+    }
+  }
+
+  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<ResponsesAPI.EasyInputMessage | Template.Message>;
+
+    /**
+     * 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<FileContent.Content>;
+
+    /**
+     * The type of jsonl source. Always `file_content`.
+     */
+    type: 'file_content';
+  }
+
+  export namespace FileContent {
+    export interface Content {
+      item: Record<string, unknown>;
+
+      sample?: Record<string, unknown>;
+    }
+  }
+
+  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<RunCreateResponse.PerModelUsage>;
+
+  /**
+   * Results per testing criteria applied during the evaluation run.
+   */
+  per_testing_criteria_results: Array<RunCreateResponse.PerTestingCriteriaResult>;
+
+  /**
+   * 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<FileContent.Content>;
+
+      /**
+       * The type of jsonl source. Always `file_content`.
+       */
+      type: 'file_content';
+    }
+
+    export namespace FileContent {
+      export interface Content {
+        item: Record<string, unknown>;
+
+        sample?: Record<string, unknown>;
+      }
+    }
+
+    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<string> | 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<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<Template.ChatMessage | Template.EvalItem>;
+
+      /**
+       * 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<RunRetrieveResponse.PerModelUsage>;
+
+  /**
+   * Results per testing criteria applied during the evaluation run.
+   */
+  per_testing_criteria_results: Array<RunRetrieveResponse.PerTestingCriteriaResult>;
+
+  /**
+   * 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<FileContent.Content>;
+
+      /**
+       * The type of jsonl source. Always `file_content`.
+       */
+      type: 'file_content';
+    }
+
+    export namespace FileContent {
+      export interface Content {
+        item: Record<string, unknown>;
+
+        sample?: Record<string, unknown>;
+      }
+    }
+
+    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<string> | 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<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<Template.ChatMessage | Template.EvalItem>;
+
+      /**
+       * 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<RunListResponse.PerModelUsage>;
+
+  /**
+   * Results per testing criteria applied during the evaluation run.
+   */
+  per_testing_criteria_results: Array<RunListResponse.PerTestingCriteriaResult>;
+
+  /**
+   * 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<FileContent.Content>;
+
+      /**
+       * The type of jsonl source. Always `file_content`.
+       */
+      type: 'file_content';
+    }
+
+    export namespace FileContent {
+      export interface Content {
+        item: Record<string, unknown>;
+
+        sample?: Record<string, unknown>;
+      }
+    }
+
+    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<string> | 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<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<Template.ChatMessage | Template.EvalItem>;
+
+      /**
+       * 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<RunCancelResponse.PerModelUsage>;
+
+  /**
+   * Results per testing criteria applied during the evaluation run.
+   */
+  per_testing_criteria_results: Array<RunCancelResponse.PerTestingCriteriaResult>;
+
+  /**
+   * 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<FileContent.Content>;
+
+      /**
+       * The type of jsonl source. Always `file_content`.
+       */
+      type: 'file_content';
+    }
+
+    export namespace FileContent {
+      export interface Content {
+        item: Record<string, unknown>;
+
+        sample?: Record<string, unknown>;
+      }
+    }
+
+    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<string> | 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<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<Template.ChatMessage | Template.EvalItem>;
+
+      /**
+       * 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<FileContent.Content>;
+
+      /**
+       * The type of jsonl source. Always `file_content`.
+       */
+      type: 'file_content';
+    }
+
+    export namespace FileContent {
+      export interface Content {
+        item: Record<string, unknown>;
+
+        sample?: Record<string, unknown>;
+      }
+    }
+
+    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<string> | 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<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<Template.ChatMessage | Template.EvalItem>;
+
+      /**
+       * 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
index db8f3a66a..723ac4cde 100644
--- a/src/resources/files.ts
+++ b/src/resources/files.ts
@@ -1,31 +1,39 @@
-// File generated from our OpenAPI spec by Stainless.
-
-import * as Core from 'openai/core';
-import { APIResource } from 'openai/resource';
-import { isRequestOptions } from 'openai/core';
-import { type Response } from 'openai/_shims/index';
-import { sleep } from 'openai/core';
-import { APIConnectionTimeoutError } from 'openai/error';
-import * as FilesAPI from 'openai/resources/files';
-import { type Uploadable, multipartFormRequestOptions } from 'openai/core';
-import { Page } from 'openai/pagination';
+// 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. The size of all the
-   * files uploaded by one organization can be up to 100 GB.
+   * 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 size of individual files can be a maximum of 512 MB or 2 million tokens for
-   * Assistants. See the
-   * [Assistants Tools guide](https://platform.openai.com/docs/assistants/tools) to
-   * learn more about the types of files supported. The Fine-tuning API only supports
-   * `.jsonl` files.
+   * 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<FileObject> {
-    return this._client.post('/files', multipartFormRequestOptions({ body, ...options }));
+    return this._client.post('/files', Core.multipartFormRequestOptions({ body, ...options }));
   }
 
   /**
@@ -36,7 +44,7 @@ export class Files extends APIResource {
   }
 
   /**
-   * Returns a list of files that belong to the user's organization.
+   * Returns a list of files.
    */
   list(query?: FileListParams, options?: Core.RequestOptions): Core.PagePromise<FileObjectsPage, FileObject>;
   list(options?: Core.RequestOptions): Core.PagePromise<FileObjectsPage, FileObject>;
@@ -61,7 +69,11 @@ export class Files extends APIResource {
    * Returns the contents of the specified file.
    */
   content(fileId: string, options?: Core.RequestOptions): Core.APIPromise<Response> {
-    return this._client.get(`/files/${fileId}/content`, { ...options, __binaryResponse: true });
+    return this._client.get(`/files/${fileId}/content`, {
+      ...options,
+      headers: { Accept: 'application/binary', ...options?.headers },
+      __binaryResponse: true,
+    });
   }
 
   /**
@@ -70,10 +82,7 @@ export class Files extends APIResource {
    * @deprecated The `.content()` method should be used instead
    */
   retrieveContent(fileId: string, options?: Core.RequestOptions): Core.APIPromise<string> {
-    return this._client.get(`/files/${fileId}/content`, {
-      ...options,
-      headers: { Accept: 'application/json', ...options?.headers },
-    });
+    return this._client.get(`/files/${fileId}/content`, options);
   }
 
   /**
@@ -103,10 +112,7 @@ export class Files extends APIResource {
   }
 }
 
-/**
- * Note: no pagination actually occurs yet, this is for forwards-compatibility.
- */
-export class FileObjectsPage extends Page<FileObject> {}
+export class FileObjectsPage extends CursorPage<FileObject> {}
 
 export type FileContent = string;
 
@@ -148,55 +154,83 @@ export interface FileObject {
   object: 'file';
 
   /**
-   * The intended purpose of the file. Supported values are `fine-tune`,
-   * `fine-tune-results`, `assistants`, and `assistants_output`.
+   * The intended purpose of the file. Supported values are `assistants`,
+   * `assistants_output`, `batch`, `batch_output`, `fine-tune`, `fine-tune-results`
+   * and `vision`.
    */
-  purpose: 'fine-tune' | 'fine-tune-results' | 'assistants' | 'assistants_output';
+  purpose:
+    | 'assistants'
+    | 'assistants_output'
+    | 'batch'
+    | 'batch_output'
+    | 'fine-tune'
+    | 'fine-tune-results'
+    | 'vision';
 
   /**
-   * Deprecated. The current status of the file, which can be either `uploaded`,
-   * `processed`, or `error`.
+   * @deprecated Deprecated. The current status of the file, which can be either
+   * `uploaded`, `processed`, or `error`.
    */
   status: 'uploaded' | 'processed' | 'error';
 
   /**
-   * Deprecated. For details on why a fine-tuning training file failed validation,
-   * see the `error` field on `fine_tuning.job`.
+   * 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: Uploadable;
+  file: Core.Uploadable;
 
   /**
-   * The intended purpose of the uploaded file.
-   *
-   * Use "fine-tune" for
-   * [Fine-tuning](https://platform.openai.com/docs/api-reference/fine-tuning) and
-   * "assistants" for
-   * [Assistants](https://platform.openai.com/docs/api-reference/assistants) and
-   * [Messages](https://platform.openai.com/docs/api-reference/messages). This allows
-   * us to validate the format of the uploaded file is correct for fine-tuning.
-   */
-  purpose: 'fine-tune' | 'assistants';
+   * 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 {
+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;
 }
 
-export namespace Files {
-  export import FileContent = FilesAPI.FileContent;
-  export import FileDeleted = FilesAPI.FileDeleted;
-  export import FileObject = FilesAPI.FileObject;
-  export import FileObjectsPage = FilesAPI.FileObjectsPage;
-  export import FileCreateParams = FilesAPI.FileCreateParams;
-  export import FileListParams = FilesAPI.FileListParams;
+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<GraderRunResponse> {
+    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<GraderValidateResponse> {
+    return this._client.post('/fine_tuning/alpha/graders/validate', { body, ...options });
+  }
+}
+
+export interface GraderRunResponse {
+  metadata: GraderRunResponse.Metadata;
+
+  model_grader_token_usage_per_model: Record<string, unknown>;
+
+  reward: number;
+
+  sub_rewards: Record<string, unknown>;
+}
+
+export namespace GraderRunResponse {
+  export interface Metadata {
+    errors: Metadata.Errors;
+
+    execution_time: number;
+
+    name: string;
+
+    sampled_model_name: string | null;
+
+    scores: Record<string, unknown>;
+
+    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<unknown> | 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<PermissionCreateResponsesPage, PermissionCreateResponse> {
+    return this._client.getAPIList(
+      `/fine_tuning/checkpoints/${fineTunedModelCheckpoint}/permissions`,
+      PermissionCreateResponsesPage,
+      { body, method: 'post', ...options },
+    );
+  }
+
+  /**
+   * **NOTE:** This endpoint requires an [admin API key](../admin-api-keys).
+   *
+   * Organization owners can use this endpoint to view all permissions for a
+   * fine-tuned model checkpoint.
+   *
+   * @example
+   * ```ts
+   * const permission =
+   *   await client.fineTuning.checkpoints.permissions.retrieve(
+   *     'ft-AF1WoRqd3aJAHsqc9NY7iL8F',
+   *   );
+   * ```
+   */
+  retrieve(
+    fineTunedModelCheckpoint: string,
+    query?: PermissionRetrieveParams,
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<PermissionRetrieveResponse>;
+  retrieve(
+    fineTunedModelCheckpoint: string,
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<PermissionRetrieveResponse>;
+  retrieve(
+    fineTunedModelCheckpoint: string,
+    query: PermissionRetrieveParams | Core.RequestOptions = {},
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<PermissionRetrieveResponse> {
+    if (isRequestOptions(query)) {
+      return this.retrieve(fineTunedModelCheckpoint, {}, query);
+    }
+    return this._client.get(`/fine_tuning/checkpoints/${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<PermissionDeleteResponse> {
+    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<PermissionCreateResponse> {}
+
+/**
+ * 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<PermissionRetrieveResponse.Data>;
+
+  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<string>;
+}
+
+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
index 5d2d27ac3..8fb54983b 100644
--- a/src/resources/fine-tuning/fine-tuning.ts
+++ b/src/resources/fine-tuning/fine-tuning.ts
@@ -1,19 +1,75 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-import { APIResource } from 'openai/resource';
-import * as JobsAPI from 'openai/resources/fine-tuning/jobs';
+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);
 }
 
-export namespace FineTuning {
-  export import Jobs = JobsAPI.Jobs;
-  export import FineTuningJob = JobsAPI.FineTuningJob;
-  export import FineTuningJobEvent = JobsAPI.FineTuningJobEvent;
-  export import FineTuningJobsPage = JobsAPI.FineTuningJobsPage;
-  export import FineTuningJobEventsPage = JobsAPI.FineTuningJobEventsPage;
-  export import JobCreateParams = JobsAPI.JobCreateParams;
-  export import JobListParams = JobsAPI.JobListParams;
-  export import JobListEventsParams = JobsAPI.JobListEventsParams;
+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
index c2cac49ac..878ac402d 100644
--- a/src/resources/fine-tuning/index.ts
+++ b/src/resources/fine-tuning/index.ts
@@ -1,13 +1,27 @@
-// File generated from our OpenAPI spec by Stainless.
+// 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 {
-  FineTuningJob,
-  FineTuningJobEvent,
-  JobCreateParams,
-  JobListParams,
-  JobListEventsParams,
   FineTuningJobsPage,
   FineTuningJobEventsPage,
   Jobs,
-} from './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.ts b/src/resources/fine-tuning/jobs.ts
deleted file mode 100644
index 7bc216d7c..000000000
--- a/src/resources/fine-tuning/jobs.ts
+++ /dev/null
@@ -1,319 +0,0 @@
-// File generated from our OpenAPI spec by Stainless.
-
-import * as Core from 'openai/core';
-import { APIResource } from 'openai/resource';
-import { isRequestOptions } from 'openai/core';
-import * as JobsAPI from 'openai/resources/fine-tuning/jobs';
-import { CursorPage, type CursorPageParams } from 'openai/pagination';
-
-export class Jobs extends APIResource {
-  /**
-   * 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)
-   */
-  create(body: JobCreateParams, options?: Core.RequestOptions): Core.APIPromise<FineTuningJob> {
-    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)
-   */
-  retrieve(fineTuningJobId: string, options?: Core.RequestOptions): Core.APIPromise<FineTuningJob> {
-    return this._client.get(`/fine_tuning/jobs/${fineTuningJobId}`, options);
-  }
-
-  /**
-   * List your organization's fine-tuning jobs
-   */
-  list(
-    query?: JobListParams,
-    options?: Core.RequestOptions,
-  ): Core.PagePromise<FineTuningJobsPage, FineTuningJob>;
-  list(options?: Core.RequestOptions): Core.PagePromise<FineTuningJobsPage, FineTuningJob>;
-  list(
-    query: JobListParams | Core.RequestOptions = {},
-    options?: Core.RequestOptions,
-  ): Core.PagePromise<FineTuningJobsPage, FineTuningJob> {
-    if (isRequestOptions(query)) {
-      return this.list({}, query);
-    }
-    return this._client.getAPIList('/fine_tuning/jobs', FineTuningJobsPage, { query, ...options });
-  }
-
-  /**
-   * Immediately cancel a fine-tune job.
-   */
-  cancel(fineTuningJobId: string, options?: Core.RequestOptions): Core.APIPromise<FineTuningJob> {
-    return this._client.post(`/fine_tuning/jobs/${fineTuningJobId}/cancel`, options);
-  }
-
-  /**
-   * Get status updates for a fine-tuning job.
-   */
-  listEvents(
-    fineTuningJobId: string,
-    query?: JobListEventsParams,
-    options?: Core.RequestOptions,
-  ): Core.PagePromise<FineTuningJobEventsPage, FineTuningJobEvent>;
-  listEvents(
-    fineTuningJobId: string,
-    options?: Core.RequestOptions,
-  ): Core.PagePromise<FineTuningJobEventsPage, FineTuningJobEvent>;
-  listEvents(
-    fineTuningJobId: string,
-    query: JobListEventsParams | Core.RequestOptions = {},
-    options?: Core.RequestOptions,
-  ): Core.PagePromise<FineTuningJobEventsPage, FineTuningJobEvent> {
-    if (isRequestOptions(query)) {
-      return this.listEvents(fineTuningJobId, {}, query);
-    }
-    return this._client.getAPIList(`/fine_tuning/jobs/${fineTuningJobId}/events`, FineTuningJobEventsPage, {
-      query,
-      ...options,
-    });
-  }
-}
-
-export class FineTuningJobsPage extends CursorPage<FineTuningJob> {}
-
-export class FineTuningJobEventsPage extends CursorPage<FineTuningJobEvent> {}
-
-/**
- * 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. See the
-   * [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning) for
-   * more details.
-   */
-  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<string>;
-
-  /**
-   * 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;
-}
-
-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. See the
-   * [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning) for
-   * more details.
-   */
-  export interface Hyperparameters {
-    /**
-     * The number of epochs to train the model for. An epoch refers to one full cycle
-     * through the training dataset. "auto" decides the optimal number of epochs based
-     * on the size of the dataset. If setting the number manually, we support any
-     * number between 1 and 50 epochs.
-     */
-    n_epochs: 'auto' | number;
-  }
-}
-
-/**
- * Fine-tuning job event object
- */
-export interface FineTuningJobEvent {
-  id: string;
-
-  created_at: number;
-
-  level: 'info' | 'warn' | 'error';
-
-  message: string;
-
-  object: 'fine_tuning.job.event';
-}
-
-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/what-models-can-be-fine-tuned).
-   */
-  model: (string & {}) | 'babbage-002' | 'davinci-002' | 'gpt-3.5-turbo';
-
-  /**
-   * The ID of an uploaded file that contains training data.
-   *
-   * See [upload file](https://platform.openai.com/docs/api-reference/files/upload)
-   * 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`.
-   *
-   * See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning)
-   * for more details.
-   */
-  training_file: string;
-
-  /**
-   * The hyperparameters used for the fine-tuning job.
-   */
-  hyperparameters?: JobCreateParams.Hyperparameters;
-
-  /**
-   * A string of up to 18 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-3.5-turbo: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 {
-  /**
-   * The hyperparameters used for the fine-tuning job.
-   */
-  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 JobListParams extends CursorPageParams {}
-
-export interface JobListEventsParams extends CursorPageParams {}
-
-export namespace Jobs {
-  export import FineTuningJob = JobsAPI.FineTuningJob;
-  export import FineTuningJobEvent = JobsAPI.FineTuningJobEvent;
-  export import FineTuningJobsPage = JobsAPI.FineTuningJobsPage;
-  export import FineTuningJobEventsPage = JobsAPI.FineTuningJobEventsPage;
-  export import JobCreateParams = JobsAPI.JobCreateParams;
-  export import JobListParams = JobsAPI.JobListParams;
-  export import JobListEventsParams = JobsAPI.JobListEventsParams;
-}
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<FineTuningJobCheckpointsPage, FineTuningJobCheckpoint>;
+  list(
+    fineTuningJobId: string,
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<FineTuningJobCheckpointsPage, FineTuningJobCheckpoint>;
+  list(
+    fineTuningJobId: string,
+    query: CheckpointListParams | Core.RequestOptions = {},
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<FineTuningJobCheckpointsPage, FineTuningJobCheckpoint> {
+    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<FineTuningJobCheckpoint> {}
+
+/**
+ * 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<FineTuningJob> {
+    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<FineTuningJob> {
+    return this._client.get(`/fine_tuning/jobs/${fineTuningJobId}`, options);
+  }
+
+  /**
+   * List your organization's fine-tuning jobs
+   *
+   * @example
+   * ```ts
+   * // Automatically fetches more pages as needed.
+   * for await (const fineTuningJob of client.fineTuning.jobs.list()) {
+   *   // ...
+   * }
+   * ```
+   */
+  list(
+    query?: JobListParams,
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<FineTuningJobsPage, FineTuningJob>;
+  list(options?: Core.RequestOptions): Core.PagePromise<FineTuningJobsPage, FineTuningJob>;
+  list(
+    query: JobListParams | Core.RequestOptions = {},
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<FineTuningJobsPage, FineTuningJob> {
+    if (isRequestOptions(query)) {
+      return this.list({}, query);
+    }
+    return this._client.getAPIList('/fine_tuning/jobs', FineTuningJobsPage, { query, ...options });
+  }
+
+  /**
+   * Immediately cancel a fine-tune job.
+   *
+   * @example
+   * ```ts
+   * const fineTuningJob = await client.fineTuning.jobs.cancel(
+   *   'ft-AF1WoRqd3aJAHsqc9NY7iL8F',
+   * );
+   * ```
+   */
+  cancel(fineTuningJobId: string, options?: Core.RequestOptions): Core.APIPromise<FineTuningJob> {
+    return this._client.post(`/fine_tuning/jobs/${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<FineTuningJobEventsPage, FineTuningJobEvent>;
+  listEvents(
+    fineTuningJobId: string,
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<FineTuningJobEventsPage, FineTuningJobEvent>;
+  listEvents(
+    fineTuningJobId: string,
+    query: JobListEventsParams | Core.RequestOptions = {},
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<FineTuningJobEventsPage, FineTuningJobEvent> {
+    if (isRequestOptions(query)) {
+      return this.listEvents(fineTuningJobId, {}, query);
+    }
+    return this._client.getAPIList(`/fine_tuning/jobs/${fineTuningJobId}/events`, FineTuningJobEventsPage, {
+      query,
+      ...options,
+    });
+  }
+
+  /**
+   * Pause a fine-tune job.
+   *
+   * @example
+   * ```ts
+   * const fineTuningJob = await client.fineTuning.jobs.pause(
+   *   'ft-AF1WoRqd3aJAHsqc9NY7iL8F',
+   * );
+   * ```
+   */
+  pause(fineTuningJobId: string, options?: Core.RequestOptions): Core.APIPromise<FineTuningJob> {
+    return this._client.post(`/fine_tuning/jobs/${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<FineTuningJob> {
+    return this._client.post(`/fine_tuning/jobs/${fineTuningJobId}/resume`, options);
+  }
+}
+
+export class FineTuningJobsPage extends CursorPage<FineTuningJob> {}
+
+export class FineTuningJobEventsPage extends CursorPage<FineTuningJobEvent> {}
+
+/**
+ * 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<string>;
+
+  /**
+   * 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<FineTuningJobWandbIntegrationObject> | 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<string>;
+}
+
+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<JobCreateParams.Integration> | 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<string>;
+    }
+  }
+
+  /**
+   * 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<LabelModelGrader.Input>;
+
+  /**
+   * The labels to assign to each item in the evaluation.
+   */
+  labels: Array<string>;
+
+  /**
+   * 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<string>;
+
+  /**
+   * 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<ScoreModelGrader.Input>;
+
+  /**
+   * 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<number>;
+
+  /**
+   * 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
index 4bc654903..c6b14833a 100644
--- a/src/resources/images.ts
+++ b/src/resources/images.ts
@@ -1,30 +1,52 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-import * as Core from 'openai/core';
-import { APIResource } from 'openai/resource';
-import * as ImagesAPI from 'openai/resources/images';
-import { type Uploadable, multipartFormRequestOptions } from 'openai/core';
+import { APIResource } from '../resource';
+import * as Core from '../core';
 
 export class Images extends APIResource {
   /**
-   * Creates a variation of a given image.
+   * 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<ImagesResponse> {
-    return this._client.post('/images/variations', multipartFormRequestOptions({ body, ...options }));
+    return this._client.post('/images/variations', Core.multipartFormRequestOptions({ body, ...options }));
   }
 
   /**
-   * Creates an edited or extended image given an original image and a prompt.
+   * 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<ImagesResponse> {
-    return this._client.post('/images/edits', multipartFormRequestOptions({ body, ...options }));
+    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<ImagesResponse> {
     return this._client.post('/images/generations', { body, ...options });
@@ -32,31 +54,93 @@ export class Images extends APIResource {
 }
 
 /**
- * Represents the url or the content of an image generated by the OpenAI API.
+ * 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, if `response_format` is
-   * `b64_json`.
+   * 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;
 
   /**
-   * The prompt that was used to generate the image, if there was any revision to the
-   * prompt.
+   * For `dall-e-3` only, the revised prompt that was used to generate the image.
    */
   revised_prompt?: string;
 
   /**
-   * The URL of the generated image, if `response_format` is `url` (default).
+   * 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;
 
-  data: Array<Image>;
+  /**
+   * The list of generated images.
+   */
+  data?: Array<Image>;
+
+  /**
+   * 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 {
@@ -64,23 +148,23 @@ 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: Uploadable;
+  image: Core.Uploadable;
 
   /**
    * The model to use for image generation. Only `dall-e-2` is supported at this
    * time.
    */
-  model?: (string & {}) | 'dall-e-2' | null;
+  model?: (string & {}) | ImageModel | null;
 
   /**
-   * The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only
-   * `n=1` is supported.
+   * 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`.
+   * `b64_json`. URLs are only valid for 60 minutes after the image has been
+   * generated.
    */
   response_format?: 'url' | 'b64_json' | null;
 
@@ -93,73 +177,121 @@ export interface ImageCreateVariationParams {
   /**
    * 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).
+   * [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
    */
   user?: string;
 }
 
 export interface ImageEditParams {
   /**
-   * The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask
-   * is not provided, image must have transparency, which will be used as the mask.
+   * 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: Uploadable;
+  image: Core.Uploadable | Array<Core.Uploadable>;
 
   /**
    * A text description of the desired image(s). The maximum length is 1000
-   * characters.
+   * 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. Must be a valid PNG file, less than
+   * 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?: Uploadable;
+  mask?: Core.Uploadable;
 
   /**
-   * The model to use for image generation. Only `dall-e-2` is supported at this
-   * time.
+   * 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 & {}) | 'dall-e-2' | null;
+  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`.
+   * `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 `256x256`, `512x512`, or
-   * `1024x1024`.
+   * 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' | null;
+  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).
+   * [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 1000
-   * characters for `dall-e-2` and 4000 characters for `dall-e-3`.
+   * 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;
 
   /**
-   * The model to use for image generation.
+   * 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 & {}) | 'dall-e-2' | 'dall-e-3' | null;
+  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
@@ -168,45 +300,77 @@ export interface ImageGenerateParams {
   n?: number | null;
 
   /**
-   * The quality of the image that will be generated. `hd` creates images with finer
-   * details and greater consistency across the image. This param is only supported
-   * for `dall-e-3`.
+   * 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.
    */
-  quality?: 'standard' | 'hd';
+  output_compression?: number | null;
 
   /**
-   * The format in which the generated images are returned. Must be one of `url` or
-   * `b64_json`.
+   * 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 `256x256`, `512x512`, or
-   * `1024x1024` for `dall-e-2`. Must be one of `1024x1024`, `1792x1024`, or
-   * `1024x1792` for `dall-e-3` models.
+   * 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?: '256x256' | '512x512' | '1024x1024' | '1792x1024' | '1024x1792' | null;
+  size?:
+    | 'auto'
+    | '1024x1024'
+    | '1536x1024'
+    | '1024x1536'
+    | '256x256'
+    | '512x512'
+    | '1792x1024'
+    | '1024x1792'
+    | null;
 
   /**
-   * The style of the generated images. 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. This param is only supported for `dall-e-3`.
+   * 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).
+   * [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
    */
   user?: string;
 }
 
-export namespace Images {
-  export import Image = ImagesAPI.Image;
-  export import ImagesResponse = ImagesAPI.ImagesResponse;
-  export import ImageCreateVariationParams = ImagesAPI.ImageCreateVariationParams;
-  export import ImageEditParams = ImagesAPI.ImageEditParams;
-  export import ImageGenerateParams = ImagesAPI.ImageGenerateParams;
+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
index 16ce85123..9d827615c 100644
--- a/src/resources/index.ts
+++ b/src/resources/index.ts
@@ -1,36 +1,98 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 export * from './chat/index';
 export * from './shared';
-export { Audio } from './audio/audio';
+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 {
-  Completion,
-  CompletionChoice,
-  CompletionUsage,
-  CompletionCreateParams,
-  CompletionCreateParamsNonStreaming,
-  CompletionCreateParamsStreaming,
   Completions,
+  type Completion,
+  type CompletionChoice,
+  type CompletionUsage,
+  type CompletionCreateParams,
+  type CompletionCreateParamsNonStreaming,
+  type CompletionCreateParamsStreaming,
 } from './completions';
-export { CreateEmbeddingResponse, Embedding, EmbeddingCreateParams, Embeddings } from './embeddings';
 export {
-  FileContent,
-  FileDeleted,
-  FileObject,
-  FileCreateParams,
-  FileListParams,
+  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 {
-  Image,
-  ImagesResponse,
-  ImageCreateVariationParams,
-  ImageEditParams,
-  ImageGenerateParams,
   Images,
+  type Image,
+  type ImageModel,
+  type ImagesResponse,
+  type ImageCreateVariationParams,
+  type ImageEditParams,
+  type ImageGenerateParams,
 } from './images';
-export { Model, ModelDeleted, ModelsPage, Models } from './models';
-export { Moderation, ModerationCreateResponse, ModerationCreateParams, Moderations } from './moderations';
+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
index 6c6c3379c..6d8cd5296 100644
--- a/src/resources/models.ts
+++ b/src/resources/models.ts
@@ -1,9 +1,8 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-import * as Core from 'openai/core';
-import { APIResource } from 'openai/resource';
-import * as ModelsAPI from 'openai/resources/models';
-import { Page } from 'openai/pagination';
+import { APIResource } from '../resource';
+import * as Core from '../core';
+import { Page } from '../pagination';
 
 export class Models extends APIResource {
   /**
@@ -69,8 +68,8 @@ export interface ModelDeleted {
   object: string;
 }
 
-export namespace Models {
-  export import Model = ModelsAPI.Model;
-  export import ModelDeleted = ModelsAPI.ModelDeleted;
-  export import ModelsPage = ModelsAPI.ModelsPage;
+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
index 8bde6ecca..86e90376d 100644
--- a/src/resources/moderations.ts
+++ b/src/resources/moderations.ts
@@ -1,12 +1,12 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-import * as Core from 'openai/core';
-import { APIResource } from 'openai/resource';
-import * as ModerationsAPI from 'openai/resources/moderations';
+import { APIResource } from '../resource';
+import * as Core from '../core';
 
 export class Moderations extends APIResource {
   /**
-   * Classifies if text violates OpenAI's Content Policy
+   * 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,
@@ -22,14 +22,18 @@ export interface Moderation {
    */
   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 the content violates
-   * [OpenAI's usage policies](/policies/usage-policies).
+   * Whether any of the below categories are flagged.
    */
   flagged: boolean;
 }
@@ -66,6 +70,20 @@ export namespace Moderation {
      */
     '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.
@@ -108,6 +126,76 @@ export namespace Moderation {
     '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.
    */
@@ -132,6 +220,16 @@ export namespace Moderation {
      */
     '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'.
      */
@@ -170,8 +268,60 @@ export namespace Moderation {
 }
 
 /**
- * Represents policy compliance report by OpenAI's content moderation model against
- * a given input.
+ * 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 {
   /**
@@ -192,25 +342,28 @@ export interface ModerationCreateResponse {
 
 export interface ModerationCreateParams {
   /**
-   * The input text to classify
+   * 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<string>;
+  input: string | Array<string> | Array<ModerationMultiModalInput>;
 
   /**
-   * 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`.
+   * 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 & {}) | 'text-moderation-latest' | 'text-moderation-stable';
+  model?: (string & {}) | ModerationModel;
 }
 
-export namespace Moderations {
-  export import Moderation = ModerationsAPI.Moderation;
-  export import ModerationCreateResponse = ModerationsAPI.ModerationCreateResponse;
-  export import ModerationCreateParams = ModerationsAPI.ModerationCreateParams;
+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<ResponseItemsPage, ResponsesAPI.ResponseItem>;
+  list(
+    responseId: string,
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<ResponseItemsPage, ResponsesAPI.ResponseItem>;
+  list(
+    responseId: string,
+    query: InputItemListParams | Core.RequestOptions = {},
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<ResponseItemsPage, ResponsesAPI.ResponseItem> {
+    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<ResponsesAPI.ResponseItem>;
+
+  /**
+   * 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<ResponsesAPI.ResponseIncludable>;
+
+  /**
+   * 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<ResponseItemsPage, ResponsesAPI.ResponseItem>;
+  list(
+    responseId: string,
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<ResponseItemsPage, ResponsesAPI.ResponseItem>;
+  list(
+    responseId: string,
+    query: InputItemListParams | Core.RequestOptions = {},
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<ResponseItemsPage, ResponsesAPI.ResponseItem> {
+    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<ResponsesAPI.ResponseItem>;
+
+  /**
+   * 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<ParsedT> extends ResponseOutputText {
+  parsed: ParsedT | null;
+}
+
+export type ParsedContent<ParsedT> = ParsedResponseOutputText<ParsedT> | ResponseOutputRefusal;
+
+export interface ParsedResponseOutputMessage<ParsedT> extends ResponseOutputMessage {
+  content: ParsedContent<ParsedT>[];
+}
+
+export interface ParsedResponseFunctionToolCall extends ResponseFunctionToolCall {
+  parsed_arguments: any;
+}
+
+export type ParsedResponseOutputItem<ParsedT> =
+  | ParsedResponseOutputMessage<ParsedT>
+  | ParsedResponseFunctionToolCall
+  | ResponseFileSearchToolCall
+  | ResponseFunctionWebSearch
+  | ResponseComputerToolCall
+  | ResponseReasoningItem;
+
+export interface ParsedResponse<ParsedT> extends Response {
+  output: Array<ParsedResponseOutputItem<ParsedT>>;
+
+  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<Response>;
+  create(
+    body: ResponseCreateParamsStreaming,
+    options?: Core.RequestOptions,
+  ): APIPromise<Stream<ResponseStreamEvent>>;
+  create(
+    body: ResponseCreateParamsBase,
+    options?: Core.RequestOptions,
+  ): APIPromise<Stream<ResponseStreamEvent> | Response>;
+  create(
+    body: ResponseCreateParams,
+    options?: Core.RequestOptions,
+  ): APIPromise<Response> | APIPromise<Stream<ResponseStreamEvent>> {
+    return (
+      this._client.post('/responses', { body, ...options, stream: body.stream ?? false }) as
+        | APIPromise<Response>
+        | APIPromise<Stream<ResponseStreamEvent>>
+    )._thenUnwrap((rsp) => {
+      if ('object' in rsp && rsp.object === 'response') {
+        addOutputText(rsp as Response);
+      }
+
+      return rsp;
+    }) as APIPromise<Response> | APIPromise<Stream<ResponseStreamEvent>>;
+  }
+
+  /**
+   * 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<Response>;
+  retrieve(responseId: string, options?: Core.RequestOptions): Core.APIPromise<Response>;
+  retrieve(
+    responseId: string,
+    query: ResponseRetrieveParams | Core.RequestOptions = {},
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<Response> {
+    if (isRequestOptions(query)) {
+      return this.retrieve(responseId, {}, query);
+    }
+    return this._client.get(`/responses/${responseId}`, { query, ...options });
+  }
+
+  /**
+   * Deletes a model response with the given ID.
+   *
+   * @example
+   * ```ts
+   * await client.responses.del(
+   *   'resp_677efb5139a88190b512bc3fef8e535d',
+   * );
+   * ```
+   */
+  del(responseId: string, options?: Core.RequestOptions): Core.APIPromise<void> {
+    return this._client.delete(`/responses/${responseId}`, {
+      ...options,
+      headers: { Accept: '*/*', ...options?.headers },
+    });
+  }
+
+  parse<Params extends ResponseCreateParamsWithTools, ParsedT = ExtractParsedContentFromParams<Params>>(
+    body: Params,
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<ParsedResponse<ParsedT>> {
+    return this._client.responses
+      .create(body, options)
+      ._thenUnwrap((response) => parseResponse(response as Response, body));
+  }
+
+  /**
+   * Creates a model response stream
+   */
+  stream<Params extends ResponseStreamParams, ParsedT = ExtractParsedContentFromParams<Params>>(
+    body: Params,
+    options?: Core.RequestOptions,
+  ): ResponseStream<ParsedT> {
+    return ResponseStream.createResponse<ParsedT>(this._client, body, options);
+  }
+}
+
+export class ResponseItemsPage extends CursorPage<ResponseItem> {}
+
+/**
+ * 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<string>;
+
+  /**
+   * 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<string, unknown> | 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<ResponseOutputItem>;
+
+  /**
+   * 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<Tool>;
+
+  /**
+   * 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<ResponseCodeInterpreterToolCall.Logs | ResponseCodeInterpreterToolCall.Files>;
+
+  /**
+   * 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<Files.File>;
+
+    /**
+     * 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<ResponseComputerToolCall.PendingSafetyCheck>;
+
+  /**
+   * 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<Drag.Path>;
+
+    /**
+     * 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<string>;
+
+    /**
+     * 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<ResponseComputerToolCallOutputItem.AcknowledgedSafetyCheck>;
+
+  /**
+   * 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<string>;
+
+  /**
+   * 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<ResponseFileSearchToolCall.Result> | 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<string, string | number | boolean> | 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<string, unknown>;
+
+  /**
+   * 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<ResponseInputItem>;
+
+/**
+ * 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<ComputerCallOutput.AcknowledgedSafetyCheck> | 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<ResponseInputContent>;
+
+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<ResponseOutputText | ResponseOutputRefusal>;
+
+  /**
+   * 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<ResponseReasoningItem.Summary>;
+
+  /**
+   * 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<ResponseIncludable> | 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<Tool>;
+
+  /**
+   * 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<ResponseIncludable>;
+}
+
+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
index 05ab66383..adea184fd 100644
--- a/src/resources/shared.ts
+++ b/src/resources/shared.ts
@@ -1,4 +1,123 @@
-// File generated from our OpenAPI spec by Stainless.
+// 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<ComparisonFilter | unknown>;
+
+  /**
+   * 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 {
   /**
@@ -15,23 +134,167 @@ export interface FunctionDefinition {
 
   /**
    * The parameters the functions accepts, described as a JSON Schema object. See the
-   * [guide](https://platform.openai.com/docs/guides/text-generation/function-calling)
-   * for examples, and 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/text-generation/function-calling)
- * for examples, and 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<string, unknown>;
+
+/**
+ * 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<string, string>;
+
+/**
+ * **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<string, unknown>;
+
+    /**
+     * 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<UploadPart> {
+    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<Upload> {
+    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<Upload> {
+    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<Upload> {
+    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<string>;
+
+  /**
+   * 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<VectorStoreFileBatch> {
+    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<VectorStoreFileBatch> {
+    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<VectorStoreFileBatch> {
+    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<VectorStoreFileBatch> {
+    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<VectorStoreFilesPage, FilesAPI.VectorStoreFile>;
+  listFiles(
+    vectorStoreId: string,
+    batchId: string,
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<VectorStoreFilesPage, FilesAPI.VectorStoreFile>;
+  listFiles(
+    vectorStoreId: string,
+    batchId: string,
+    query: FileBatchListFilesParams | Core.RequestOptions = {},
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<VectorStoreFilesPage, FilesAPI.VectorStoreFile> {
+    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<VectorStoreFileBatch> {
+    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<VectorStoreFileBatch> {
+    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<Uploadable>) {
+      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<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<string, string | number | boolean> | 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<VectorStoreFile> {
+    return this._client.post(`/vector_stores/${vectorStoreId}/files`, {
+      body,
+      ...options,
+      headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+    });
+  }
+
+  /**
+   * Retrieves a vector store file.
+   */
+  retrieve(
+    vectorStoreId: string,
+    fileId: string,
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<VectorStoreFile> {
+    return this._client.get(`/vector_stores/${vectorStoreId}/files/${fileId}`, {
+      ...options,
+      headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+    });
+  }
+
+  /**
+   * Update attributes on a vector store file.
+   */
+  update(
+    vectorStoreId: string,
+    fileId: string,
+    body: FileUpdateParams,
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<VectorStoreFile> {
+    return this._client.post(`/vector_stores/${vectorStoreId}/files/${fileId}`, {
+      body,
+      ...options,
+      headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+    });
+  }
+
+  /**
+   * Returns a list of vector store files.
+   */
+  list(
+    vectorStoreId: string,
+    query?: FileListParams,
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<VectorStoreFilesPage, VectorStoreFile>;
+  list(
+    vectorStoreId: string,
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<VectorStoreFilesPage, VectorStoreFile>;
+  list(
+    vectorStoreId: string,
+    query: FileListParams | Core.RequestOptions = {},
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<VectorStoreFilesPage, VectorStoreFile> {
+    if (isRequestOptions(query)) {
+      return this.list(vectorStoreId, {}, query);
+    }
+    return this._client.getAPIList(`/vector_stores/${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<VectorStoreFileDeleted> {
+    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<VectorStoreFile> {
+    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<VectorStoreFile> {
+    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<VectorStoreFile> {
+    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<VectorStoreFile> {
+    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<FileContentResponsesPage, FileContentResponse> {
+    return this._client.getAPIList(
+      `/vector_stores/${vectorStoreId}/files/${fileId}/content`,
+      FileContentResponsesPage,
+      { ...options, headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers } },
+    );
+  }
+}
+
+export class VectorStoreFilesPage extends CursorPage<VectorStoreFile> {}
+
+/**
+ * Note: no pagination actually occurs yet, this is for forwards-compatibility.
+ */
+export class FileContentResponsesPage extends Page<FileContentResponse> {}
+
+/**
+ * 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<string, string | number | boolean> | 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<string, string | number | boolean> | 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<string, string | number | boolean> | 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<VectorStore> {
+    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<VectorStore> {
+    return this._client.get(`/vector_stores/${vectorStoreId}`, {
+      ...options,
+      headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+    });
+  }
+
+  /**
+   * Modifies a vector store.
+   */
+  update(
+    vectorStoreId: string,
+    body: VectorStoreUpdateParams,
+    options?: Core.RequestOptions,
+  ): Core.APIPromise<VectorStore> {
+    return this._client.post(`/vector_stores/${vectorStoreId}`, {
+      body,
+      ...options,
+      headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+    });
+  }
+
+  /**
+   * Returns a list of vector stores.
+   */
+  list(
+    query?: VectorStoreListParams,
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<VectorStoresPage, VectorStore>;
+  list(options?: Core.RequestOptions): Core.PagePromise<VectorStoresPage, VectorStore>;
+  list(
+    query: VectorStoreListParams | Core.RequestOptions = {},
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<VectorStoresPage, VectorStore> {
+    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<VectorStoreDeleted> {
+    return this._client.delete(`/vector_stores/${vectorStoreId}`, {
+      ...options,
+      headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+    });
+  }
+
+  /**
+   * Search a vector store for relevant chunks based on a query and file attributes
+   * filter.
+   */
+  search(
+    vectorStoreId: string,
+    body: VectorStoreSearchParams,
+    options?: Core.RequestOptions,
+  ): Core.PagePromise<VectorStoreSearchResponsesPage, VectorStoreSearchResponse> {
+    return this._client.getAPIList(`/vector_stores/${vectorStoreId}/search`, VectorStoreSearchResponsesPage, {
+      body,
+      method: 'post',
+      ...options,
+      headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+    });
+  }
+}
+
+export class VectorStoresPage extends CursorPage<VectorStore> {}
+
+/**
+ * Note: no pagination actually occurs yet, this is for forwards-compatibility.
+ */
+export class VectorStoreSearchResponsesPage extends Page<VectorStoreSearchResponse> {}
+
+/**
+ * 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<string, string | number | boolean> | null;
+
+  /**
+   * Content chunks from the file.
+   */
+  content: Array<VectorStoreSearchResponse.Content>;
+
+  /**
+   * 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<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 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<string>;
+
+  /**
+   * 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/streaming.ts b/src/streaming.ts
index 7d8b4442a..ee25daca6 100644
--- a/src/streaming.ts
+++ b/src/streaming.ts
@@ -1,7 +1,10 @@
 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 { APIError } from 'openai/error';
+import { createResponseHeaders } from './core';
+import { APIError } from './error';
 
 type Bytes = string | ArrayBuffer | Uint8Array | Buffer | null | undefined;
 
@@ -21,31 +24,8 @@ export class Stream<Item> implements AsyncIterable<Item> {
     this.controller = controller;
   }
 
-  static fromSSEResponse<Item>(response: Response, controller: AbortController) {
+  static fromSSEResponse<Item>(response: Response, controller: AbortController): Stream<Item> {
     let consumed = false;
-    const decoder = new SSEDecoder();
-
-    async function* iterMessages(): AsyncGenerator<ServerSentEvent, void, unknown> {
-      if (!response.body) {
-        controller.abort();
-        throw new OpenAIError(`Attempted to iterate over a response with no body`);
-      }
-
-      const lineDecoder = new LineDecoder();
-
-      const iter = readableStreamAsyncIterable<Bytes>(response.body);
-      for await (const chunk of iter) {
-        for (const line of lineDecoder.decode(chunk)) {
-          const sse = decoder.decode(line);
-          if (sse) yield sse;
-        }
-      }
-
-      for (const line of lineDecoder.flush()) {
-        const sse = decoder.decode(line);
-        if (sse) yield sse;
-      }
-    }
 
     async function* iterator(): AsyncIterator<Item, any, undefined> {
       if (consumed) {
@@ -54,7 +34,7 @@ export class Stream<Item> implements AsyncIterable<Item> {
       consumed = true;
       let done = false;
       try {
-        for await (const sse of iterMessages()) {
+        for await (const sse of _iterSSEMessages(response, controller)) {
           if (done) continue;
 
           if (sse.data.startsWith('[DONE]')) {
@@ -62,7 +42,11 @@ export class Stream<Item> implements AsyncIterable<Item> {
             continue;
           }
 
-          if (sse.event === null) {
+          if (
+            sse.event === null ||
+            sse.event.startsWith('response.') ||
+            sse.event.startsWith('transcript.')
+          ) {
             let data;
 
             try {
@@ -74,10 +58,24 @@ export class Stream<Item> implements AsyncIterable<Item> {
             }
 
             if (data && data.error) {
-              throw new APIError(undefined, data.error, undefined, undefined);
+              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;
@@ -98,13 +96,13 @@ export class Stream<Item> implements AsyncIterable<Item> {
    * Generates a Stream from a newline-separated ReadableStream
    * where each item is a JSON value.
    */
-  static fromReadableStream<Item>(readableStream: ReadableStream, controller: AbortController) {
+  static fromReadableStream<Item>(readableStream: ReadableStream, controller: AbortController): Stream<Item> {
     let consumed = false;
 
     async function* iterLines(): AsyncGenerator<string, void, unknown> {
       const lineDecoder = new LineDecoder();
 
-      const iter = readableStreamAsyncIterable<Bytes>(readableStream);
+      const iter = ReadableStreamToAsyncIterable<Bytes>(readableStream);
       for await (const chunk of iter) {
         for (const line of lineDecoder.decode(chunk)) {
           yield line;
@@ -187,7 +185,7 @@ export class Stream<Item> implements AsyncIterable<Item> {
       async start() {
         iter = self[Symbol.asyncIterator]();
       },
-      async pull(ctrl) {
+      async pull(ctrl: any) {
         try {
           const { value, done } = await iter.next();
           if (done) return ctrl.close();
@@ -206,6 +204,66 @@ export class Stream<Item> implements AsyncIterable<Item> {
   }
 }
 
+export async function* _iterSSEMessages(
+  response: Response,
+  controller: AbortController,
+): AsyncGenerator<ServerSentEvent, void, unknown> {
+  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<Bytes>(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<Bytes>): AsyncGenerator<Uint8Array> {
+  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;
@@ -261,111 +319,6 @@ class SSEDecoder {
   }
 }
 
-/**
- * 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
- */
-class LineDecoder {
-  // prettier-ignore
-  static NEWLINE_CHARS = new Set(['\n', '\r', '\x0b', '\x0c', '\x1c', '\x1d', '\x1e', '\x85', '\u2028', '\u2029']);
-  static NEWLINE_REGEXP = /\r\n|[\n\r\x0b\x0c\x1c\x1d\x1e\x85\u2028\u2029]/g;
-
-  buffer: string[];
-  trailingCR: boolean;
-  textDecoder: any; // TextDecoder found in browsers; not typed to avoid pulling in either "dom" or "node" types.
-
-  constructor() {
-    this.buffer = [];
-    this.trailingCR = false;
-  }
-
-  decode(chunk: Bytes): string[] {
-    let text = this.decodeText(chunk);
-
-    if (this.trailingCR) {
-      text = '\r' + text;
-      this.trailingCR = false;
-    }
-    if (text.endsWith('\r')) {
-      this.trailingCR = true;
-      text = text.slice(0, -1);
-    }
-
-    if (!text) {
-      return [];
-    }
-
-    const trailingNewline = LineDecoder.NEWLINE_CHARS.has(text[text.length - 1] || '');
-    let lines = text.split(LineDecoder.NEWLINE_REGEXP);
-
-    if (lines.length === 1 && !trailingNewline) {
-      this.buffer.push(lines[0]!);
-      return [];
-    }
-
-    if (this.buffer.length > 0) {
-      lines = [this.buffer.join('') + lines[0], ...lines.slice(1)];
-      this.buffer = [];
-    }
-
-    if (!trailingNewline) {
-      this.buffer = [lines.pop() || ''];
-    }
-
-    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 && !this.trailingCR) {
-      return [];
-    }
-
-    const lines = [this.buffer.join('')];
-    this.buffer = [];
-    this.trailingCR = false;
-    return lines;
-  }
-}
-
 function partition(str: string, delimiter: string): [string, string, string] {
   const index = str.indexOf(delimiter);
   if (index !== -1) {
@@ -374,36 +327,3 @@ function partition(str: string, delimiter: string): [string, string, string] {
 
   return [str, '', ''];
 }
-
-/**
- * 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 readableStreamAsyncIterable<T>(stream: any): AsyncIterableIterator<T> {
-  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/uploads.ts b/src/uploads.ts
index 2398baf35..8fd2154d4 100644
--- a/src/uploads.ts
+++ b/src/uploads.ts
@@ -102,23 +102,33 @@ export type ToFileInput = Uploadable | Exclude<BlobLikePart, string> | AsyncIter
 export async function toFile(
   value: ToFileInput | PromiseLike<ToFileInput>,
   name?: string | null | undefined,
-  options: FilePropertyBag | undefined = {},
+  options?: FilePropertyBag | undefined,
 ): Promise<FileLike> {
   // 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';
 
-    return new File([blob as any], name, options);
+    // 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) {
+  if (!options?.type) {
     const type = (bits[0] as any)?.type;
     if (typeof type === 'string') {
       options = { ...options, type };
diff --git a/src/version.ts b/src/version.ts
index 3975f7a3e..62b43ffce 100644
--- a/src/version.ts
+++ b/src/version.ts
@@ -1 +1 @@
-export const VERSION = '4.28.3'; // x-release-please-version
+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
index b0cf1a71c..191c6a313 100644
--- a/tests/api-resources/audio/speech.test.ts
+++ b/tests/api-resources/audio/speech.test.ts
@@ -1,8 +1,8 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 import OpenAI from 'openai';
 
-const openai = new OpenAI({
+const client = new OpenAI({
   apiKey: 'My API Key',
   baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/',
 });
@@ -10,10 +10,11 @@ const openai = new OpenAI({
 describe('resource speech', () => {
   // binary tests are currently broken
   test.skip('create: required and optional params', async () => {
-    const response = await openai.audio.speech.create({
-      input: 'string',
+    const response = await client.audio.speech.create({
+      input: 'input',
       model: 'string',
-      voice: 'alloy',
+      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
index 33652af53..ad76808d0 100644
--- a/tests/api-resources/audio/transcriptions.test.ts
+++ b/tests/api-resources/audio/transcriptions.test.ts
@@ -1,18 +1,18 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 import OpenAI, { toFile } from 'openai';
 import { Response } from 'node-fetch';
 
-const openai = new OpenAI({
+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 = openai.audio.transcriptions.create({
+    const responsePromise = client.audio.transcriptions.create({
       file: await toFile(Buffer.from('# my file contents'), 'README.md'),
-      model: 'whisper-1',
+      model: 'gpt-4o-transcribe',
     });
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
@@ -24,14 +24,17 @@ describe('resource transcriptions', () => {
   });
 
   test('create: required and optional params', async () => {
-    const response = await openai.audio.transcriptions.create({
+    const response = await client.audio.transcriptions.create({
       file: await toFile(Buffer.from('# my file contents'), 'README.md'),
-      model: 'whisper-1',
-      language: 'string',
-      prompt: 'string',
+      model: 'gpt-4o-transcribe',
+      chunking_strategy: 'auto',
+      include: ['logprobs'],
+      language: 'language',
+      prompt: 'prompt',
       response_format: 'json',
+      stream: false,
       temperature: 0,
-      timestamp_granularities: ['word', 'segment'],
+      timestamp_granularities: ['word'],
     });
   });
 });
diff --git a/tests/api-resources/audio/translations.test.ts b/tests/api-resources/audio/translations.test.ts
index 723625f6e..7966ff49a 100644
--- a/tests/api-resources/audio/translations.test.ts
+++ b/tests/api-resources/audio/translations.test.ts
@@ -1,16 +1,16 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 import OpenAI, { toFile } from 'openai';
 import { Response } from 'node-fetch';
 
-const openai = new OpenAI({
+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 = openai.audio.translations.create({
+    const responsePromise = client.audio.translations.create({
       file: await toFile(Buffer.from('# my file contents'), 'README.md'),
       model: 'whisper-1',
     });
@@ -24,11 +24,11 @@ describe('resource translations', () => {
   });
 
   test('create: required and optional params', async () => {
-    const response = await openai.audio.translations.create({
+    const response = await client.audio.translations.create({
       file: await toFile(Buffer.from('# my file contents'), 'README.md'),
       model: 'whisper-1',
-      prompt: 'string',
-      response_format: 'string',
+      prompt: 'prompt',
+      response_format: 'json',
       temperature: 0,
     });
   });
diff --git a/tests/api-resources/beta/assistants/files.test.ts b/tests/api-resources/batches.test.ts
similarity index 66%
rename from tests/api-resources/beta/assistants/files.test.ts
rename to tests/api-resources/batches.test.ts
index 8db328442..7c7397d06 100644
--- a/tests/api-resources/beta/assistants/files.test.ts
+++ b/tests/api-resources/batches.test.ts
@@ -1,16 +1,20 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 import OpenAI from 'openai';
 import { Response } from 'node-fetch';
 
-const openai = new OpenAI({
+const client = new OpenAI({
   apiKey: 'My API Key',
   baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/',
 });
 
-describe('resource files', () => {
+describe('resource batches', () => {
   test('create: only required params', async () => {
-    const responsePromise = openai.beta.assistants.files.create('file-abc123', { file_id: 'string' });
+    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;
@@ -21,11 +25,16 @@ describe('resource files', () => {
   });
 
   test('create: required and optional params', async () => {
-    const response = await openai.beta.assistants.files.create('file-abc123', { file_id: 'string' });
+    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 = openai.beta.assistants.files.retrieve('string', 'string');
+    const responsePromise = client.batches.retrieve('batch_id');
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -37,13 +46,13 @@ describe('resource files', () => {
 
   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(
-      openai.beta.assistants.files.retrieve('string', 'string', { path: '/_stainless_unknown_path' }),
-    ).rejects.toThrow(OpenAI.NotFoundError);
+    await expect(client.batches.retrieve('batch_id', { path: '/_stainless_unknown_path' })).rejects.toThrow(
+      OpenAI.NotFoundError,
+    );
   });
 
   test('list', async () => {
-    const responsePromise = openai.beta.assistants.files.list('string');
+    const responsePromise = client.batches.list();
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -55,24 +64,20 @@ describe('resource files', () => {
 
   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(
-      openai.beta.assistants.files.list('string', { path: '/_stainless_unknown_path' }),
-    ).rejects.toThrow(OpenAI.NotFoundError);
+    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(
-      openai.beta.assistants.files.list(
-        'string',
-        { after: 'string', before: 'string', limit: 0, order: 'asc' },
-        { path: '/_stainless_unknown_path' },
-      ),
+      client.batches.list({ after: 'after', limit: 0 }, { path: '/_stainless_unknown_path' }),
     ).rejects.toThrow(OpenAI.NotFoundError);
   });
 
-  test('del', async () => {
-    const responsePromise = openai.beta.assistants.files.del('string', 'string');
+  test('cancel', async () => {
+    const responsePromise = client.batches.cancel('batch_id');
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -82,10 +87,10 @@ describe('resource files', () => {
     expect(dataAndResponse.response).toBe(rawResponse);
   });
 
-  test('del: request options instead of params are passed correctly', async () => {
+  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(
-      openai.beta.assistants.files.del('string', 'string', { path: '/_stainless_unknown_path' }),
-    ).rejects.toThrow(OpenAI.NotFoundError);
+    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/assistants/assistants.test.ts b/tests/api-resources/beta/threads/messages.test.ts
similarity index 69%
rename from tests/api-resources/beta/assistants/assistants.test.ts
rename to tests/api-resources/beta/threads/messages.test.ts
index 60ca0a6e2..e125edd84 100644
--- a/tests/api-resources/beta/assistants/assistants.test.ts
+++ b/tests/api-resources/beta/threads/messages.test.ts
@@ -1,16 +1,19 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 import OpenAI from 'openai';
 import { Response } from 'node-fetch';
 
-const openai = new OpenAI({
+const client = new OpenAI({
   apiKey: 'My API Key',
   baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/',
 });
 
-describe('resource assistants', () => {
+describe('resource messages', () => {
   test('create: only required params', async () => {
-    const responsePromise = openai.beta.assistants.create({ model: 'string' });
+    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;
@@ -21,19 +24,16 @@ describe('resource assistants', () => {
   });
 
   test('create: required and optional params', async () => {
-    const response = await openai.beta.assistants.create({
-      model: 'string',
-      description: 'string',
-      file_ids: ['string', 'string', 'string'],
-      instructions: 'string',
-      metadata: {},
-      name: 'string',
-      tools: [{ type: 'code_interpreter' }, { type: 'code_interpreter' }, { type: 'code_interpreter' }],
+    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 = openai.beta.assistants.retrieve('string');
+    const responsePromise = client.beta.threads.messages.retrieve('thread_id', 'message_id');
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -46,12 +46,12 @@ describe('resource assistants', () => {
   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(
-      openai.beta.assistants.retrieve('string', { path: '/_stainless_unknown_path' }),
+      client.beta.threads.messages.retrieve('thread_id', 'message_id', { path: '/_stainless_unknown_path' }),
     ).rejects.toThrow(OpenAI.NotFoundError);
   });
 
   test('update', async () => {
-    const responsePromise = openai.beta.assistants.update('string', {});
+    const responsePromise = client.beta.threads.messages.update('thread_id', 'message_id', {});
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -62,7 +62,7 @@ describe('resource assistants', () => {
   });
 
   test('list', async () => {
-    const responsePromise = openai.beta.assistants.list();
+    const responsePromise = client.beta.threads.messages.list('thread_id');
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -74,23 +74,24 @@ describe('resource assistants', () => {
 
   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(openai.beta.assistants.list({ path: '/_stainless_unknown_path' })).rejects.toThrow(
-      OpenAI.NotFoundError,
-    );
+    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(
-      openai.beta.assistants.list(
-        { after: 'string', before: 'string', limit: 0, order: 'asc' },
+      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 = openai.beta.assistants.del('string');
+    const responsePromise = client.beta.threads.messages.del('thread_id', 'message_id');
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -102,8 +103,8 @@ describe('resource assistants', () => {
 
   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(openai.beta.assistants.del('string', { path: '/_stainless_unknown_path' })).rejects.toThrow(
-      OpenAI.NotFoundError,
-    );
+    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
index 5a720afce..4b2b8030b 100644
--- a/tests/api-resources/beta/threads/runs/runs.test.ts
+++ b/tests/api-resources/beta/threads/runs/runs.test.ts
@@ -1,16 +1,16 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 import OpenAI from 'openai';
 import { Response } from 'node-fetch';
 
-const openai = new OpenAI({
+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 = openai.beta.threads.runs.create('string', { assistant_id: 'string' });
+    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;
@@ -21,18 +21,37 @@ describe('resource runs', () => {
   });
 
   test('create: required and optional params', async () => {
-    const response = await openai.beta.threads.runs.create('string', {
-      assistant_id: 'string',
-      additional_instructions: 'string',
-      instructions: 'string',
-      metadata: {},
+    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',
-      tools: [{ type: 'code_interpreter' }, { type: 'code_interpreter' }, { type: 'code_interpreter' }],
+      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 = openai.beta.threads.runs.retrieve('string', 'string');
+    const responsePromise = client.beta.threads.runs.retrieve('thread_id', 'run_id');
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -45,12 +64,12 @@ describe('resource runs', () => {
   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(
-      openai.beta.threads.runs.retrieve('string', 'string', { path: '/_stainless_unknown_path' }),
+      client.beta.threads.runs.retrieve('thread_id', 'run_id', { path: '/_stainless_unknown_path' }),
     ).rejects.toThrow(OpenAI.NotFoundError);
   });
 
   test('update', async () => {
-    const responsePromise = openai.beta.threads.runs.update('string', 'string', {});
+    const responsePromise = client.beta.threads.runs.update('thread_id', 'run_id', {});
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -61,7 +80,7 @@ describe('resource runs', () => {
   });
 
   test('list', async () => {
-    const responsePromise = openai.beta.threads.runs.list('string');
+    const responsePromise = client.beta.threads.runs.list('thread_id');
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -74,23 +93,23 @@ describe('resource runs', () => {
   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(
-      openai.beta.threads.runs.list('string', { path: '/_stainless_unknown_path' }),
+      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(
-      openai.beta.threads.runs.list(
-        'string',
-        { after: 'string', before: 'string', limit: 0, order: 'asc' },
+      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 = openai.beta.threads.runs.cancel('string', 'string');
+    const responsePromise = client.beta.threads.runs.cancel('thread_id', 'run_id');
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -103,13 +122,13 @@ describe('resource runs', () => {
   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(
-      openai.beta.threads.runs.cancel('string', 'string', { path: '/_stainless_unknown_path' }),
+      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 = openai.beta.threads.runs.submitToolOutputs('string', 'string', {
-      tool_outputs: [{}, {}, {}],
+    const responsePromise = client.beta.threads.runs.submitToolOutputs('thread_id', 'run_id', {
+      tool_outputs: [{}],
     });
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
@@ -121,12 +140,9 @@ describe('resource runs', () => {
   });
 
   test('submitToolOutputs: required and optional params', async () => {
-    const response = await openai.beta.threads.runs.submitToolOutputs('string', 'string', {
-      tool_outputs: [
-        { tool_call_id: 'string', output: 'string' },
-        { tool_call_id: 'string', output: 'string' },
-        { tool_call_id: 'string', output: 'string' },
-      ],
+    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
index 76eec269a..64cd228ae 100644
--- a/tests/api-resources/beta/threads/runs/steps.test.ts
+++ b/tests/api-resources/beta/threads/runs/steps.test.ts
@@ -1,16 +1,16 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 import OpenAI from 'openai';
 import { Response } from 'node-fetch';
 
-const openai = new OpenAI({
+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 = openai.beta.threads.runs.steps.retrieve('string', 'string', 'string');
+    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;
@@ -23,14 +23,27 @@ describe('resource steps', () => {
   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(
-      openai.beta.threads.runs.steps.retrieve('string', 'string', 'string', {
+      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 = openai.beta.threads.runs.steps.list('string', 'string');
+    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;
@@ -43,17 +56,23 @@ describe('resource steps', () => {
   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(
-      openai.beta.threads.runs.steps.list('string', 'string', { path: '/_stainless_unknown_path' }),
+      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(
-      openai.beta.threads.runs.steps.list(
-        'string',
-        'string',
-        { after: 'string', before: 'string', limit: 0, order: 'asc' },
+      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
index fc9fef723..bc92a0c8a 100644
--- a/tests/api-resources/beta/threads/threads.test.ts
+++ b/tests/api-resources/beta/threads/threads.test.ts
@@ -1,16 +1,16 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 import OpenAI from 'openai';
 import { Response } from 'node-fetch';
 
-const openai = new OpenAI({
+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 = openai.beta.threads.create();
+    const responsePromise = client.beta.threads.create();
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -22,7 +22,7 @@ describe('resource threads', () => {
 
   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(openai.beta.threads.create({ path: '/_stainless_unknown_path' })).rejects.toThrow(
+    await expect(client.beta.threads.create({ path: '/_stainless_unknown_path' })).rejects.toThrow(
       OpenAI.NotFoundError,
     );
   });
@@ -30,14 +30,26 @@ describe('resource threads', () => {
   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(
-      openai.beta.threads.create(
+      client.beta.threads.create(
         {
           messages: [
-            { role: 'user', content: 'x', file_ids: ['string'], metadata: {} },
-            { role: 'user', content: 'x', file_ids: ['string'], metadata: {} },
-            { role: 'user', content: 'x', file_ids: ['string'], metadata: {} },
+            {
+              content: 'string',
+              role: 'user',
+              attachments: [{ file_id: 'file_id', tools: [{ type: 'code_interpreter' }] }],
+              metadata: { foo: 'string' },
+            },
           ],
-          metadata: {},
+          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' },
       ),
@@ -45,7 +57,7 @@ describe('resource threads', () => {
   });
 
   test('retrieve', async () => {
-    const responsePromise = openai.beta.threads.retrieve('string');
+    const responsePromise = client.beta.threads.retrieve('thread_id');
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -58,12 +70,12 @@ describe('resource threads', () => {
   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(
-      openai.beta.threads.retrieve('string', { path: '/_stainless_unknown_path' }),
+      client.beta.threads.retrieve('thread_id', { path: '/_stainless_unknown_path' }),
     ).rejects.toThrow(OpenAI.NotFoundError);
   });
 
   test('update', async () => {
-    const responsePromise = openai.beta.threads.update('string', {});
+    const responsePromise = client.beta.threads.update('thread_id', {});
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -74,7 +86,7 @@ describe('resource threads', () => {
   });
 
   test('del', async () => {
-    const responsePromise = openai.beta.threads.del('string');
+    const responsePromise = client.beta.threads.del('thread_id');
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -86,13 +98,13 @@ describe('resource threads', () => {
 
   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(openai.beta.threads.del('string', { path: '/_stainless_unknown_path' })).rejects.toThrow(
+    await expect(client.beta.threads.del('thread_id', { path: '/_stainless_unknown_path' })).rejects.toThrow(
       OpenAI.NotFoundError,
     );
   });
 
   test('createAndRun: only required params', async () => {
-    const responsePromise = openai.beta.threads.createAndRun({ assistant_id: 'string' });
+    const responsePromise = client.beta.threads.createAndRun({ assistant_id: 'assistant_id' });
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -103,20 +115,45 @@ describe('resource threads', () => {
   });
 
   test('createAndRun: required and optional params', async () => {
-    const response = await openai.beta.threads.createAndRun({
-      assistant_id: 'string',
-      instructions: 'string',
-      metadata: {},
+    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: [
-          { role: 'user', content: 'x', file_ids: ['string'], metadata: {} },
-          { role: 'user', content: 'x', file_ids: ['string'], metadata: {} },
-          { role: 'user', content: 'x', file_ids: ['string'], metadata: {} },
+          {
+            content: 'string',
+            role: 'user',
+            attachments: [{ file_id: 'file_id', tools: [{ type: 'code_interpreter' }] }],
+            metadata: { foo: 'string' },
+          },
         ],
-        metadata: {},
+        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' }, { type: 'code_interpreter' }, { type: 'code_interpreter' }],
+      tools: [{ type: 'code_interpreter' }],
+      top_p: 1,
+      truncation_strategy: { type: 'auto', last_messages: 1 },
     });
   });
 });
diff --git a/tests/api-resources/chat/completions.test.ts b/tests/api-resources/chat/completions.test.ts
deleted file mode 100644
index 49f3562b0..000000000
--- a/tests/api-resources/chat/completions.test.ts
+++ /dev/null
@@ -1,54 +0,0 @@
-// File generated from our OpenAPI spec by Stainless.
-
-import OpenAI from 'openai';
-import { Response } from 'node-fetch';
-
-const openai = 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 = openai.chat.completions.create({
-      messages: [{ content: 'string', role: 'system' }],
-      model: 'gpt-3.5-turbo',
-    });
-    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 openai.chat.completions.create({
-      messages: [{ content: 'string', role: 'system', name: 'string' }],
-      model: 'gpt-3.5-turbo',
-      frequency_penalty: -2,
-      function_call: 'none',
-      functions: [{ description: 'string', name: 'string', parameters: { foo: 'bar' } }],
-      logit_bias: { foo: 0 },
-      logprobs: true,
-      max_tokens: 0,
-      n: 1,
-      presence_penalty: -2,
-      response_format: { type: 'json_object' },
-      seed: -9223372036854776000,
-      stop: 'string',
-      stream: false,
-      temperature: 1,
-      tool_choice: 'none',
-      tools: [
-        { type: 'function', function: { description: 'string', name: 'string', parameters: { foo: 'bar' } } },
-        { type: 'function', function: { description: 'string', name: 'string', parameters: { foo: 'bar' } } },
-        { type: 'function', function: { description: 'string', name: 'string', parameters: { foo: 'bar' } } },
-      ],
-      top_logprobs: 0,
-      top_p: 1,
-      user: 'user-1234',
-    });
-  });
-});
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
index 85fc68498..c98501a87 100644
--- a/tests/api-resources/completions.test.ts
+++ b/tests/api-resources/completions.test.ts
@@ -1,16 +1,16 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 import OpenAI from 'openai';
 import { Response } from 'node-fetch';
 
-const openai = new OpenAI({
+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 = openai.completions.create({ model: 'string', prompt: 'This is a test.' });
+    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;
@@ -21,7 +21,7 @@ describe('resource completions', () => {
   });
 
   test('create: required and optional params', async () => {
-    const response = await openai.completions.create({
+    const response = await client.completions.create({
       model: 'string',
       prompt: 'This is a test.',
       best_of: 0,
@@ -32,9 +32,10 @@ describe('resource completions', () => {
       max_tokens: 16,
       n: 1,
       presence_penalty: -2,
-      seed: -9223372036854776000,
+      seed: 0,
       stop: '\n',
       stream: false,
+      stream_options: { include_usage: true },
       suffix: 'test.',
       temperature: 1,
       top_p: 1,
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
index bcb5ffbba..629265643 100644
--- a/tests/api-resources/embeddings.test.ts
+++ b/tests/api-resources/embeddings.test.ts
@@ -1,16 +1,19 @@
-// File generated from our OpenAPI spec by Stainless.
+// 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 openai = new OpenAI({
+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 = openai.embeddings.create({
+    const responsePromise = client.embeddings.create({
       input: 'The quick brown fox jumped over the lazy dog',
       model: 'text-embedding-3-small',
     });
@@ -24,7 +27,7 @@ describe('resource embeddings', () => {
   });
 
   test('create: required and optional params', async () => {
-    const response = await openai.embeddings.create({
+    const response = await client.embeddings.create({
       input: 'The quick brown fox jumped over the lazy dog',
       model: 'text-embedding-3-small',
       dimensions: 1,
@@ -32,4 +35,73 @@ describe('resource embeddings', () => {
       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/beta/threads/messages/files.test.ts b/tests/api-resources/evals/runs/output-items.test.ts
similarity index 73%
rename from tests/api-resources/beta/threads/messages/files.test.ts
rename to tests/api-resources/evals/runs/output-items.test.ts
index b4a00a868..ff075b404 100644
--- a/tests/api-resources/beta/threads/messages/files.test.ts
+++ b/tests/api-resources/evals/runs/output-items.test.ts
@@ -1,20 +1,16 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 import OpenAI from 'openai';
 import { Response } from 'node-fetch';
 
-const openai = new OpenAI({
+const client = new OpenAI({
   apiKey: 'My API Key',
   baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/',
 });
 
-describe('resource files', () => {
+describe('resource outputItems', () => {
   test('retrieve', async () => {
-    const responsePromise = openai.beta.threads.messages.files.retrieve(
-      'thread_abc123',
-      'msg_abc123',
-      'file-abc123',
-    );
+    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;
@@ -27,14 +23,14 @@ describe('resource files', () => {
   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(
-      openai.beta.threads.messages.files.retrieve('thread_abc123', 'msg_abc123', 'file-abc123', {
+      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 = openai.beta.threads.messages.files.list('string', 'string');
+    const responsePromise = client.evals.runs.outputItems.list('eval_id', 'run_id');
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -47,17 +43,17 @@ describe('resource files', () => {
   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(
-      openai.beta.threads.messages.files.list('string', 'string', { path: '/_stainless_unknown_path' }),
+      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(
-      openai.beta.threads.messages.files.list(
-        'string',
-        'string',
-        { after: 'string', before: 'string', limit: 0, order: 'asc' },
+      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/fine-tuning/jobs.test.ts b/tests/api-resources/evals/runs/runs.test.ts
similarity index 66%
rename from tests/api-resources/fine-tuning/jobs.test.ts
rename to tests/api-resources/evals/runs/runs.test.ts
index 22f457303..786df0ba1 100644
--- a/tests/api-resources/fine-tuning/jobs.test.ts
+++ b/tests/api-resources/evals/runs/runs.test.ts
@@ -1,18 +1,17 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 import OpenAI from 'openai';
 import { Response } from 'node-fetch';
 
-const openai = new OpenAI({
+const client = new OpenAI({
   apiKey: 'My API Key',
   baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/',
 });
 
-describe('resource jobs', () => {
+describe('resource runs', () => {
   test('create: only required params', async () => {
-    const responsePromise = openai.fineTuning.jobs.create({
-      model: 'gpt-3.5-turbo',
-      training_file: 'file-abc123',
+    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);
@@ -24,17 +23,18 @@ describe('resource jobs', () => {
   });
 
   test('create: required and optional params', async () => {
-    const response = await openai.fineTuning.jobs.create({
-      model: 'gpt-3.5-turbo',
-      training_file: 'file-abc123',
-      hyperparameters: { batch_size: 'auto', learning_rate_multiplier: 'auto', n_epochs: 'auto' },
-      suffix: 'x',
-      validation_file: 'file-abc123',
+    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 = openai.fineTuning.jobs.retrieve('ft-AF1WoRqd3aJAHsqc9NY7iL8F');
+    const responsePromise = client.evals.runs.retrieve('eval_id', 'run_id');
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -47,12 +47,12 @@ describe('resource jobs', () => {
   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(
-      openai.fineTuning.jobs.retrieve('ft-AF1WoRqd3aJAHsqc9NY7iL8F', { path: '/_stainless_unknown_path' }),
+      client.evals.runs.retrieve('eval_id', 'run_id', { path: '/_stainless_unknown_path' }),
     ).rejects.toThrow(OpenAI.NotFoundError);
   });
 
   test('list', async () => {
-    const responsePromise = openai.fineTuning.jobs.list();
+    const responsePromise = client.evals.runs.list('eval_id');
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -64,7 +64,7 @@ describe('resource jobs', () => {
 
   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(openai.fineTuning.jobs.list({ path: '/_stainless_unknown_path' })).rejects.toThrow(
+    await expect(client.evals.runs.list('eval_id', { path: '/_stainless_unknown_path' })).rejects.toThrow(
       OpenAI.NotFoundError,
     );
   });
@@ -72,12 +72,16 @@ describe('resource jobs', () => {
   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(
-      openai.fineTuning.jobs.list({ after: 'string', limit: 0 }, { path: '/_stainless_unknown_path' }),
+      client.evals.runs.list(
+        'eval_id',
+        { after: 'after', limit: 0, order: 'asc', status: 'queued' },
+        { path: '/_stainless_unknown_path' },
+      ),
     ).rejects.toThrow(OpenAI.NotFoundError);
   });
 
-  test('cancel', async () => {
-    const responsePromise = openai.fineTuning.jobs.cancel('ft-AF1WoRqd3aJAHsqc9NY7iL8F');
+  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;
@@ -87,15 +91,15 @@ describe('resource jobs', () => {
     expect(dataAndResponse.response).toBe(rawResponse);
   });
 
-  test('cancel: request options instead of params are passed correctly', async () => {
+  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(
-      openai.fineTuning.jobs.cancel('ft-AF1WoRqd3aJAHsqc9NY7iL8F', { path: '/_stainless_unknown_path' }),
+      client.evals.runs.del('eval_id', 'run_id', { path: '/_stainless_unknown_path' }),
     ).rejects.toThrow(OpenAI.NotFoundError);
   });
 
-  test('listEvents', async () => {
-    const responsePromise = openai.fineTuning.jobs.listEvents('ft-AF1WoRqd3aJAHsqc9NY7iL8F');
+  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;
@@ -105,21 +109,10 @@ describe('resource jobs', () => {
     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(
-      openai.fineTuning.jobs.listEvents('ft-AF1WoRqd3aJAHsqc9NY7iL8F', { path: '/_stainless_unknown_path' }),
-    ).rejects.toThrow(OpenAI.NotFoundError);
-  });
-
-  test('listEvents: request options and params are passed correctly', async () => {
+  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(
-      openai.fineTuning.jobs.listEvents(
-        'ft-AF1WoRqd3aJAHsqc9NY7iL8F',
-        { after: 'string', limit: 0 },
-        { path: '/_stainless_unknown_path' },
-      ),
+      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
index 9e6373aba..c907c4987 100644
--- a/tests/api-resources/files.test.ts
+++ b/tests/api-resources/files.test.ts
@@ -1,18 +1,18 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 import OpenAI, { toFile } from 'openai';
 import { Response } from 'node-fetch';
 
-const openai = new OpenAI({
+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 = openai.files.create({
+    const responsePromise = client.files.create({
       file: await toFile(Buffer.from('# my file contents'), 'README.md'),
-      purpose: 'fine-tune',
+      purpose: 'assistants',
     });
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
@@ -24,14 +24,14 @@ describe('resource files', () => {
   });
 
   test('create: required and optional params', async () => {
-    const response = await openai.files.create({
+    const response = await client.files.create({
       file: await toFile(Buffer.from('# my file contents'), 'README.md'),
-      purpose: 'fine-tune',
+      purpose: 'assistants',
     });
   });
 
   test('retrieve', async () => {
-    const responsePromise = openai.files.retrieve('string');
+    const responsePromise = client.files.retrieve('file_id');
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -43,13 +43,13 @@ describe('resource files', () => {
 
   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(openai.files.retrieve('string', { path: '/_stainless_unknown_path' })).rejects.toThrow(
+    await expect(client.files.retrieve('file_id', { path: '/_stainless_unknown_path' })).rejects.toThrow(
       OpenAI.NotFoundError,
     );
   });
 
   test('list', async () => {
-    const responsePromise = openai.files.list();
+    const responsePromise = client.files.list();
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -61,7 +61,7 @@ describe('resource files', () => {
 
   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(openai.files.list({ path: '/_stainless_unknown_path' })).rejects.toThrow(
+    await expect(client.files.list({ path: '/_stainless_unknown_path' })).rejects.toThrow(
       OpenAI.NotFoundError,
     );
   });
@@ -69,12 +69,15 @@ describe('resource files', () => {
   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(
-      openai.files.list({ purpose: 'string' }, { path: '/_stainless_unknown_path' }),
+      client.files.list(
+        { after: 'after', limit: 0, order: 'asc', purpose: 'purpose' },
+        { path: '/_stainless_unknown_path' },
+      ),
     ).rejects.toThrow(OpenAI.NotFoundError);
   });
 
   test('del', async () => {
-    const responsePromise = openai.files.del('string');
+    const responsePromise = client.files.del('file_id');
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -86,20 +89,20 @@ describe('resource files', () => {
 
   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(openai.files.del('string', { path: '/_stainless_unknown_path' })).rejects.toThrow(
+    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(openai.files.content('string', { path: '/_stainless_unknown_path' })).rejects.toThrow(
+    await expect(client.files.content('file_id', { path: '/_stainless_unknown_path' })).rejects.toThrow(
       OpenAI.NotFoundError,
     );
   });
 
   test('retrieveContent', async () => {
-    const responsePromise = openai.files.retrieveContent('string');
+    const responsePromise = client.files.retrieveContent('file_id');
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -112,7 +115,7 @@ describe('resource files', () => {
   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(
-      openai.files.retrieveContent('string', { path: '/_stainless_unknown_path' }),
+      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
index 418a55eb0..04fca0a2a 100644
--- a/tests/api-resources/images.test.ts
+++ b/tests/api-resources/images.test.ts
@@ -1,16 +1,16 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 import OpenAI, { toFile } from 'openai';
 import { Response } from 'node-fetch';
 
-const openai = new OpenAI({
+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 = openai.images.createVariation({
+    const responsePromise = client.images.createVariation({
       image: await toFile(Buffer.from('# my file contents'), 'README.md'),
     });
     const rawResponse = await responsePromise.asResponse();
@@ -23,9 +23,9 @@ describe('resource images', () => {
   });
 
   test('createVariation: required and optional params', async () => {
-    const response = await openai.images.createVariation({
+    const response = await client.images.createVariation({
       image: await toFile(Buffer.from('# my file contents'), 'README.md'),
-      model: 'dall-e-2',
+      model: 'string',
       n: 1,
       response_format: 'url',
       size: '1024x1024',
@@ -34,7 +34,7 @@ describe('resource images', () => {
   });
 
   test('edit: only required params', async () => {
-    const responsePromise = openai.images.edit({
+    const responsePromise = client.images.edit({
       image: await toFile(Buffer.from('# my file contents'), 'README.md'),
       prompt: 'A cute baby sea otter wearing a beret',
     });
@@ -48,12 +48,14 @@ describe('resource images', () => {
   });
 
   test('edit: required and optional params', async () => {
-    const response = await openai.images.edit({
+    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: 'dall-e-2',
+      model: 'string',
       n: 1,
+      quality: 'high',
       response_format: 'url',
       size: '1024x1024',
       user: 'user-1234',
@@ -61,7 +63,7 @@ describe('resource images', () => {
   });
 
   test('generate: only required params', async () => {
-    const responsePromise = openai.images.generate({ prompt: 'A cute baby sea otter' });
+    const responsePromise = client.images.generate({ prompt: 'A cute baby sea otter' });
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -72,11 +74,15 @@ describe('resource images', () => {
   });
 
   test('generate: required and optional params', async () => {
-    const response = await openai.images.generate({
+    const response = await client.images.generate({
       prompt: 'A cute baby sea otter',
-      model: 'dall-e-3',
+      background: 'transparent',
+      model: 'string',
+      moderation: 'low',
       n: 1,
-      quality: 'standard',
+      output_compression: 100,
+      output_format: 'png',
+      quality: 'medium',
       response_format: 'url',
       size: '1024x1024',
       style: 'vivid',
diff --git a/tests/api-resources/models.test.ts b/tests/api-resources/models.test.ts
index 91eb0d055..23ebd1bb6 100644
--- a/tests/api-resources/models.test.ts
+++ b/tests/api-resources/models.test.ts
@@ -1,16 +1,16 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 import OpenAI from 'openai';
 import { Response } from 'node-fetch';
 
-const openai = new OpenAI({
+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 = openai.models.retrieve('gpt-3.5-turbo');
+    const responsePromise = client.models.retrieve('gpt-4o-mini');
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -22,13 +22,13 @@ describe('resource models', () => {
 
   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(
-      openai.models.retrieve('gpt-3.5-turbo', { path: '/_stainless_unknown_path' }),
-    ).rejects.toThrow(OpenAI.NotFoundError);
+    await expect(client.models.retrieve('gpt-4o-mini', { path: '/_stainless_unknown_path' })).rejects.toThrow(
+      OpenAI.NotFoundError,
+    );
   });
 
   test('list', async () => {
-    const responsePromise = openai.models.list();
+    const responsePromise = client.models.list();
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -40,13 +40,13 @@ describe('resource models', () => {
 
   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(openai.models.list({ path: '/_stainless_unknown_path' })).rejects.toThrow(
+    await expect(client.models.list({ path: '/_stainless_unknown_path' })).rejects.toThrow(
       OpenAI.NotFoundError,
     );
   });
 
   test('del', async () => {
-    const responsePromise = openai.models.del('ft:gpt-3.5-turbo:acemeco:suffix:abc123');
+    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;
@@ -59,7 +59,7 @@ describe('resource models', () => {
   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(
-      openai.models.del('ft:gpt-3.5-turbo:acemeco:suffix:abc123', { path: '/_stainless_unknown_path' }),
+      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
index ad315df5d..107ce9974 100644
--- a/tests/api-resources/moderations.test.ts
+++ b/tests/api-resources/moderations.test.ts
@@ -1,16 +1,16 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 import OpenAI from 'openai';
 import { Response } from 'node-fetch';
 
-const openai = new OpenAI({
+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 = openai.moderations.create({ input: 'I want to kill them.' });
+    const responsePromise = client.moderations.create({ input: 'I want to kill them.' });
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -21,9 +21,6 @@ describe('resource moderations', () => {
   });
 
   test('create: required and optional params', async () => {
-    const response = await openai.moderations.create({
-      input: 'I want to kill them.',
-      model: 'text-moderation-stable',
-    });
+    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/beta/threads/messages/messages.test.ts b/tests/api-resources/vector-stores/file-batches.test.ts
similarity index 58%
rename from tests/api-resources/beta/threads/messages/messages.test.ts
rename to tests/api-resources/vector-stores/file-batches.test.ts
index 35538efb9..c0447a838 100644
--- a/tests/api-resources/beta/threads/messages/messages.test.ts
+++ b/tests/api-resources/vector-stores/file-batches.test.ts
@@ -1,16 +1,16 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 import OpenAI from 'openai';
 import { Response } from 'node-fetch';
 
-const openai = new OpenAI({
+const client = new OpenAI({
   apiKey: 'My API Key',
   baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010/',
 });
 
-describe('resource messages', () => {
+describe('resource fileBatches', () => {
   test('create: only required params', async () => {
-    const responsePromise = openai.beta.threads.messages.create('string', { content: 'x', role: 'user' });
+    const responsePromise = client.vectorStores.fileBatches.create('vs_abc123', { file_ids: ['string'] });
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -21,16 +21,15 @@ describe('resource messages', () => {
   });
 
   test('create: required and optional params', async () => {
-    const response = await openai.beta.threads.messages.create('string', {
-      content: 'x',
-      role: 'user',
+    const response = await client.vectorStores.fileBatches.create('vs_abc123', {
       file_ids: ['string'],
-      metadata: {},
+      attributes: { foo: 'string' },
+      chunking_strategy: { type: 'auto' },
     });
   });
 
   test('retrieve', async () => {
-    const responsePromise = openai.beta.threads.messages.retrieve('string', 'string');
+    const responsePromise = client.vectorStores.fileBatches.retrieve('vs_abc123', 'vsfb_abc123');
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -43,12 +42,14 @@ describe('resource messages', () => {
   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(
-      openai.beta.threads.messages.retrieve('string', 'string', { path: '/_stainless_unknown_path' }),
+      client.vectorStores.fileBatches.retrieve('vs_abc123', 'vsfb_abc123', {
+        path: '/_stainless_unknown_path',
+      }),
     ).rejects.toThrow(OpenAI.NotFoundError);
   });
 
-  test('update', async () => {
-    const responsePromise = openai.beta.threads.messages.update('string', 'string', {});
+  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;
@@ -58,8 +59,17 @@ describe('resource messages', () => {
     expect(dataAndResponse.response).toBe(rawResponse);
   });
 
-  test('list', async () => {
-    const responsePromise = openai.beta.threads.messages.list('string');
+  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;
@@ -69,19 +79,22 @@ describe('resource messages', () => {
     expect(dataAndResponse.response).toBe(rawResponse);
   });
 
-  test('list: request options instead of params are passed correctly', async () => {
+  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(
-      openai.beta.threads.messages.list('string', { path: '/_stainless_unknown_path' }),
+      client.vectorStores.fileBatches.listFiles('vector_store_id', 'batch_id', {
+        path: '/_stainless_unknown_path',
+      }),
     ).rejects.toThrow(OpenAI.NotFoundError);
   });
 
-  test('list: request options and params are passed correctly', async () => {
+  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(
-      openai.beta.threads.messages.list(
-        'string',
-        { after: 'string', before: 'string', limit: 0, order: 'asc' },
+      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/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
index 3fb42a80a..6227d6fbe 100644
--- a/tests/index.test.ts
+++ b/tests/index.test.ts
@@ -1,8 +1,8 @@
-// File generated from our OpenAPI spec by Stainless.
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 import OpenAI from 'openai';
 import { APIUserAbortError } from 'openai';
-import { Headers } from 'openai/core';
+import { debug, Headers } from 'openai/core';
 import defaultFetch, { Response, type RequestInit, type RequestInfo } from 'node-fetch';
 
 describe('instantiate client', () => {
@@ -96,6 +96,15 @@ describe('instantiate client', () => {
     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/',
@@ -122,6 +131,19 @@ describe('instantiate client', () => {
     expect(spy).toHaveBeenCalledTimes(1);
   });
 
+  test('normalized method', async () => {
+    let capturedRequest: RequestInit | undefined;
+    const testFetch = async (url: RequestInfo, init: RequestInit = {}): Promise<Response> => {
+      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' });
@@ -177,7 +199,7 @@ describe('instantiate client', () => {
     expect(client.apiKey).toBe('My API Key');
   });
 
-  test('with overriden environment variable arguments', () => {
+  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' });
@@ -241,6 +263,122 @@ describe('retries', () => {
     expect(count).toEqual(3);
   });
 
+  test('retry count header', async () => {
+    let count = 0;
+    let capturedRequest: RequestInit | undefined;
+    const testFetch = async (url: RequestInfo, init: RequestInit = {}): Promise<Response> => {
+      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<Response> => {
+      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<Response> => {
+      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<Response> => {
+      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<Response> => {
@@ -295,3 +433,95 @@ describe('retries', () => {
     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/src/lib/ChatCompletionRunFunctions.test.ts b/tests/lib/ChatCompletionRunFunctions.test.ts
similarity index 90%
rename from src/lib/ChatCompletionRunFunctions.test.ts
rename to tests/lib/ChatCompletionRunFunctions.test.ts
index bb360b217..496501a86 100644
--- a/src/lib/ChatCompletionRunFunctions.test.ts
+++ b/tests/lib/ChatCompletionRunFunctions.test.ts
@@ -1,5 +1,5 @@
 import OpenAI from 'openai';
-import { OpenAIError } from 'openai/error';
+import { OpenAIError, APIConnectionError } from 'openai/error';
 import { PassThrough } from 'stream';
 import {
   ParsingToolFunction,
@@ -9,76 +9,9 @@ import {
   type ChatCompletionStreamingFunctionRunnerParams,
 } from 'openai/resources/beta/chat/completions';
 import type { ChatCompletionMessageParam } from 'openai/resources/chat/completions';
-
-import { type RequestInfo, type RequestInit } from 'openai/_shims/index';
 import { Response } from 'node-fetch';
-import { isAssistantMessage } from './chatCompletionUtils';
-
-type Fetch = (req: string | RequestInfo, init?: RequestInit) => Promise<Response>;
-
-/**
- * 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
- */
-function mockFetch(): { fetch: Fetch; handleRequest: (handle: Fetch) => Promise<void> } {
-  const fetchQueue: ((handler: typeof fetch) => void)[] = [];
-  const handlerQueue: Promise<typeof fetch>[] = [];
-
-  const enqueueHandler = () => {
-    handlerQueue.push(
-      new Promise<typeof fetch>((resolve) => {
-        fetchQueue.push((handle: typeof fetch) => {
-          enqueueHandler();
-          resolve(handle);
-        });
-      }),
-    );
-  };
-  enqueueHandler();
-
-  async function fetch(req: string | RequestInfo, init?: RequestInit): Promise<Response> {
-    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<Response>((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<void> {
-    return new Promise<void>((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 };
-}
+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.
@@ -213,7 +146,7 @@ class RunnerListener {
 
   onceMessageCallCount = 0;
 
-  constructor(public runner: ChatCompletionRunner) {
+  constructor(public runner: ChatCompletionRunner<any>) {
     runner
       .on('connect', () => (this.gotConnect = true))
       .on('content', (content) => this.contents.push(content))
@@ -327,7 +260,7 @@ class StreamingRunnerListener {
   gotConnect = false;
   gotEnd = false;
 
-  constructor(public runner: ChatCompletionStreamingRunner) {
+  constructor(public runner: ChatCompletionStreamingRunner<any>) {
     runner
       .on('connect', () => (this.gotConnect = true))
       .on('chunk', (chunk) => this.eventChunks.push(chunk))
@@ -598,6 +531,8 @@ describe('resource completions', () => {
               message: {
                 role: 'assistant',
                 content: null,
+                refusal: null,
+                parsed: null,
                 tool_calls: [
                   {
                     type: 'function',
@@ -619,10 +554,15 @@ describe('resource completions', () => {
 
       await handleRequest(async (request) => {
         expect(request.messages).toEqual([
-          { role: 'user', content: 'tell me what the weather is like' },
+          {
+            role: 'user',
+            content: 'tell me what the weather is like',
+          },
           {
             role: 'assistant',
             content: null,
+            refusal: null,
+            parsed: null,
             tool_calls: [
               {
                 type: 'function',
@@ -630,6 +570,7 @@ describe('resource completions', () => {
                 function: {
                   arguments: '',
                   name: 'getWeather',
+                  parsed_arguments: null,
                 },
               },
             ],
@@ -651,6 +592,7 @@ describe('resource completions', () => {
               message: {
                 role: 'assistant',
                 content: `it's raining`,
+                refusal: null,
               },
             },
           ],
@@ -663,10 +605,11 @@ describe('resource completions', () => {
       await runner.done();
 
       expect(listener.messages).toEqual([
-        { role: 'user', content: 'tell me what the weather is like' },
         {
           role: 'assistant',
           content: null,
+          parsed: null,
+          refusal: null,
           tool_calls: [
             {
               type: 'function',
@@ -674,12 +617,19 @@ describe('resource completions', () => {
               function: {
                 arguments: '',
                 name: 'getWeather',
+                parsed_arguments: null,
               },
             },
           ],
         },
         { role: 'tool', content: `it's raining`, tool_call_id: '123' },
-        { role: 'assistant', content: "it's raining" },
+        {
+          role: 'assistant',
+          content: "it's raining",
+          parsed: null,
+          refusal: null,
+          tool_calls: undefined,
+        },
       ]);
       expect(listener.functionCallResults).toEqual([`it's raining`]);
       await listener.sanityCheck();
@@ -723,6 +673,8 @@ describe('resource completions', () => {
               message: {
                 role: 'assistant',
                 content: null,
+                parsed: null,
+                refusal: null,
                 tool_calls: [
                   {
                     type: 'function',
@@ -747,10 +699,11 @@ describe('resource completions', () => {
       await runner.done().catch(() => {});
 
       expect(listener.messages).toEqual([
-        { role: 'user', content: 'tell me what the weather is like' },
         {
           role: 'assistant',
           content: null,
+          parsed: null,
+          refusal: null,
           tool_calls: [
             {
               type: 'function',
@@ -758,6 +711,7 @@ describe('resource completions', () => {
               function: {
                 arguments: '',
                 name: 'getWeather',
+                parsed_arguments: null,
               },
             },
           ],
@@ -816,6 +770,8 @@ describe('resource completions', () => {
               message: {
                 role: 'assistant',
                 content: null,
+                parsed: null,
+                refusal: null,
                 tool_calls: [
                   {
                     type: 'function',
@@ -849,6 +805,8 @@ describe('resource completions', () => {
           {
             role: 'assistant',
             content: null,
+            parsed: null,
+            refusal: null,
             tool_calls: [
               {
                 type: 'function',
@@ -856,6 +814,7 @@ describe('resource completions', () => {
                 function: {
                   arguments: '{"a": 1, "b": 2, "c": 3}',
                   name: 'numProperties',
+                  parsed_arguments: null,
                 },
               },
             ],
@@ -876,6 +835,7 @@ describe('resource completions', () => {
               message: {
                 role: 'assistant',
                 content: `there are 3 properties in {"a": 1, "b": 2, "c": 3}`,
+                refusal: null,
               },
             },
           ],
@@ -893,23 +853,31 @@ describe('resource completions', () => {
       await runner.done();
 
       expect(listener.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: { name: 'numProperties', arguments: '{"a": 1, "b": 2, "c": 3}' },
+              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}' },
+        {
+          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();
@@ -963,6 +931,8 @@ describe('resource completions', () => {
                 message: {
                   role: 'assistant',
                   content: null,
+                  parsed: null,
+                  refusal: null,
                   tool_calls: [
                     {
                       type: 'function',
@@ -990,6 +960,8 @@ describe('resource completions', () => {
             {
               role: 'assistant',
               content: null,
+              parsed: null,
+              refusal: null,
               tool_calls: [
                 {
                   type: 'function',
@@ -997,6 +969,7 @@ describe('resource completions', () => {
                   function: {
                     arguments: '[{"a": 1, "b": 2, "c": 3}]',
                     name: 'numProperties',
+                    parsed_arguments: null,
                   },
                 },
               ],
@@ -1017,6 +990,8 @@ describe('resource completions', () => {
                 message: {
                   role: 'assistant',
                   content: null,
+                  parsed: null,
+                  refusal: null,
                   tool_calls: [
                     {
                       type: 'function',
@@ -1044,6 +1019,8 @@ describe('resource completions', () => {
             {
               role: 'assistant',
               content: null,
+              parsed: null,
+              refusal: null,
               tool_calls: [
                 {
                   type: 'function',
@@ -1051,6 +1028,7 @@ describe('resource completions', () => {
                   function: {
                     arguments: '[{"a": 1, "b": 2, "c": 3}]',
                     name: 'numProperties',
+                    parsed_arguments: null,
                   },
                 },
               ],
@@ -1063,6 +1041,8 @@ describe('resource completions', () => {
             {
               role: 'assistant',
               content: null,
+              parsed: null,
+              refusal: null,
               tool_calls: [
                 {
                   type: 'function',
@@ -1070,6 +1050,7 @@ describe('resource completions', () => {
                   function: {
                     arguments: '{"a": 1, "b": 2, "c": 3}',
                     name: 'numProperties',
+                    parsed_arguments: null,
                   },
                 },
               ],
@@ -1090,6 +1071,7 @@ describe('resource completions', () => {
                 message: {
                   role: 'assistant',
                   content: `there are 3 properties in {"a": 1, "b": 2, "c": 3}`,
+                  refusal: null,
                 },
               },
             ],
@@ -1102,18 +1084,20 @@ describe('resource completions', () => {
       ]);
 
       expect(listener.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: { name: 'numProperties', arguments: '[{"a": 1, "b": 2, "c": 3}]' },
+              function: {
+                name: 'numProperties',
+                arguments: '[{"a": 1, "b": 2, "c": 3}]',
+                parsed_arguments: null,
+              },
             },
           ],
         },
@@ -1121,16 +1105,28 @@ describe('resource completions', () => {
         {
           role: 'assistant',
           content: null,
+          parsed: null,
+          refusal: null,
           tool_calls: [
             {
               type: 'function',
               id: '1234',
-              function: { name: 'numProperties', arguments: '{"a": 1, "b": 2, "c": 3}' },
+              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}' },
+        {
+          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();
@@ -1177,6 +1173,8 @@ describe('resource completions', () => {
                 message: {
                   role: 'assistant',
                   content: null,
+                  parsed: null,
+                  refusal: null,
                   tool_calls: [
                     {
                       type: 'function',
@@ -1199,10 +1197,11 @@ describe('resource completions', () => {
       ]);
 
       expect(listener.messages).toEqual([
-        { role: 'user', content: 'tell me what the weather is like' },
         {
           role: 'assistant',
           content: null,
+          parsed: null,
+          refusal: null,
           tool_calls: [
             {
               type: 'function',
@@ -1210,6 +1209,7 @@ describe('resource completions', () => {
               function: {
                 arguments: '',
                 name: 'getWeather',
+                parsed_arguments: null,
               },
             },
           ],
@@ -1255,6 +1255,8 @@ describe('resource completions', () => {
                 message: {
                   role: 'assistant',
                   content: null,
+                  parsed: null,
+                  refusal: null,
                   tool_calls: [
                     {
                       type: 'function',
@@ -1279,6 +1281,8 @@ describe('resource completions', () => {
             {
               role: 'assistant',
               content: null,
+              parsed: null,
+              refusal: null,
               tool_calls: [
                 {
                   type: 'function',
@@ -1286,6 +1290,7 @@ describe('resource completions', () => {
                   function: {
                     arguments: '',
                     name: 'get_weather',
+                    parsed_arguments: null,
                   },
                 },
               ],
@@ -1306,6 +1311,8 @@ describe('resource completions', () => {
                 message: {
                   role: 'assistant',
                   content: null,
+                  parsed: null,
+                  refusal: null,
                   tool_calls: [
                     {
                       type: 'function',
@@ -1330,6 +1337,8 @@ describe('resource completions', () => {
             {
               role: 'assistant',
               content: null,
+              parsed: null,
+              refusal: null,
               tool_calls: [
                 {
                   type: 'function',
@@ -1337,6 +1346,7 @@ describe('resource completions', () => {
                   function: {
                     arguments: '',
                     name: 'get_weather',
+                    parsed_arguments: null,
                   },
                 },
               ],
@@ -1349,6 +1359,8 @@ describe('resource completions', () => {
             {
               role: 'assistant',
               content: null,
+              parsed: null,
+              refusal: null,
               tool_calls: [
                 {
                   type: 'function',
@@ -1356,6 +1368,7 @@ describe('resource completions', () => {
                   function: {
                     arguments: '',
                     name: 'getWeather',
+                    parsed_arguments: null,
                   },
                 },
               ],
@@ -1375,6 +1388,7 @@ describe('resource completions', () => {
                 logprobs: null,
                 message: {
                   role: 'assistant',
+                  refusal: null,
                   content: `it's raining`,
                 },
               },
@@ -1388,11 +1402,18 @@ describe('resource completions', () => {
       ]);
 
       expect(listener.messages).toEqual([
-        { role: 'user', content: 'tell me what the weather is like' },
         {
           role: 'assistant',
           content: null,
-          tool_calls: [{ type: 'function', id: '123', function: { name: 'get_weather', arguments: '' } }],
+          parsed: null,
+          refusal: null,
+          tool_calls: [
+            {
+              type: 'function',
+              id: '123',
+              function: { name: 'get_weather', arguments: '', parsed_arguments: null },
+            },
+          ],
         },
         {
           role: 'tool',
@@ -1402,10 +1423,28 @@ describe('resource completions', () => {
         {
           role: 'assistant',
           content: null,
-          tool_calls: [{ type: 'function', id: '1234', function: { name: 'getWeather', arguments: '' } }],
+          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" },
+        {
+          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`,
@@ -1478,6 +1517,8 @@ describe('resource completions', () => {
             {
               role: 'assistant',
               content: null,
+              parsed: null,
+              refusal: null,
               tool_calls: [
                 {
                   type: 'function',
@@ -1512,6 +1553,8 @@ describe('resource completions', () => {
         {
           role: 'assistant',
           content: null,
+          parsed: null,
+          refusal: null,
           tool_calls: [
             {
               type: 'function',
@@ -1524,7 +1567,13 @@ describe('resource completions', () => {
           ],
         },
         { role: 'tool', content: `it's raining`, tool_call_id: '123' },
-        { role: 'assistant', content: "it's raining" },
+        {
+          role: 'assistant',
+          content: "it's raining",
+          parsed: null,
+          refusal: null,
+          tool_calls: undefined,
+        },
       ]);
       expect(listener.eventFunctionCallResults).toEqual([`it's raining`]);
       await listener.sanityCheck();
@@ -1595,6 +1644,8 @@ describe('resource completions', () => {
         {
           role: 'assistant',
           content: null,
+          parsed: null,
+          refusal: null,
           tool_calls: [
             {
               type: 'function',
@@ -1689,6 +1740,8 @@ describe('resource completions', () => {
             {
               role: 'assistant',
               content: null,
+              parsed: null,
+              refusal: null,
               tool_calls: [
                 {
                   type: 'function',
@@ -1723,16 +1776,27 @@ describe('resource completions', () => {
         {
           role: 'assistant',
           content: null,
+          parsed: null,
+          refusal: null,
           tool_calls: [
             {
               type: 'function',
               id: '123',
-              function: { name: 'numProperties', arguments: '{"a": 1, "b": 2, "c": 3}' },
+              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}' },
+        {
+          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();
@@ -1799,6 +1863,8 @@ describe('resource completions', () => {
             {
               role: 'assistant',
               content: null,
+              parsed: null,
+              refusal: null,
               tool_calls: [
                 {
                   type: 'function',
@@ -1838,6 +1904,8 @@ describe('resource completions', () => {
             {
               role: 'assistant',
               content: null,
+              parsed: null,
+              refusal: null,
               tool_calls: [
                 {
                   type: 'function',
@@ -1857,6 +1925,8 @@ describe('resource completions', () => {
             {
               role: 'assistant',
               content: null,
+              parsed: null,
+              refusal: null,
               tool_calls: [
                 {
                   type: 'function',
@@ -1891,11 +1961,16 @@ describe('resource completions', () => {
         {
           role: 'assistant',
           content: null,
+          parsed: null,
+          refusal: null,
           tool_calls: [
             {
               type: 'function',
               id: '123',
-              function: { name: 'numProperties', arguments: '[{"a": 1, "b": 2, "c": 3}]' },
+              function: {
+                name: 'numProperties',
+                arguments: '[{"a": 1, "b": 2, "c": 3}]',
+              },
             },
           ],
         },
@@ -1903,16 +1978,27 @@ describe('resource completions', () => {
         {
           role: 'assistant',
           content: null,
+          parsed: null,
+          refusal: null,
           tool_calls: [
             {
               type: 'function',
               id: '1234',
-              function: { name: 'numProperties', arguments: '{"a": 1, "b": 2, "c": 3}' },
+              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}' },
+        {
+          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();
@@ -1985,6 +2071,8 @@ describe('resource completions', () => {
         {
           role: 'assistant',
           content: null,
+          parsed: null,
+          refusal: null,
           tool_calls: [
             {
               type: 'function',
@@ -2062,6 +2150,8 @@ describe('resource completions', () => {
             {
               role: 'assistant',
               content: null,
+              parsed: null,
+              refusal: null,
               tool_calls: [
                 {
                   type: 'function',
@@ -2114,6 +2204,8 @@ describe('resource completions', () => {
             {
               role: 'assistant',
               content: null,
+              parsed: null,
+              refusal: null,
               tool_calls: [
                 {
                   type: 'function',
@@ -2133,6 +2225,8 @@ describe('resource completions', () => {
             {
               role: 'assistant',
               content: null,
+              parsed: null,
+              refusal: null,
               tool_calls: [
                 {
                   type: 'function',
@@ -2167,6 +2261,8 @@ describe('resource completions', () => {
         {
           role: 'assistant',
           content: null,
+          parsed: null,
+          refusal: null,
           tool_calls: [
             {
               type: 'function',
@@ -2186,6 +2282,8 @@ describe('resource completions', () => {
         {
           role: 'assistant',
           content: null,
+          parsed: null,
+          refusal: null,
           tool_calls: [
             {
               type: 'function',
@@ -2198,7 +2296,13 @@ describe('resource completions', () => {
           ],
         },
         { role: 'tool', content: `it's raining`, tool_call_id: '1234' },
-        { role: 'assistant', content: "it's raining" },
+        {
+          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`,
@@ -2207,6 +2311,7 @@ describe('resource completions', () => {
       await listener.sanityCheck();
     });
   });
+
   describe('stream', () => {
     test('successful flow', async () => {
       const { fetch, handleRequest } = mockStreamingChatCompletionFetch();
@@ -2237,7 +2342,13 @@ describe('resource completions', () => {
         runner.done(),
       ]);
 
-      expect(listener.finalMessage).toEqual({ role: 'assistant', content: 'The weather is great today!' });
+      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 () => {
@@ -2270,8 +2381,64 @@ describe('resource completions', () => {
         proxied.done(),
       ]);
 
-      expect(listener.finalMessage).toEqual({ role: 'assistant', content: 'The weather is great today!' });
+      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<Response> => {
+        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<Response> => {
+        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<string, string>)['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<Response> => {
+      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<string, string>)['content-length']).toEqual('20');
+    });
+
+    test('handles standard characters', () => {
+      const { req } = client.buildRequest({ path: '/foo', method: 'post', body: { value: 'hello' } });
+      expect((req.headers as Record<string, string>)['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<string, string>)['x-foo']).toEqual('bar');
+      expect((req.headers as Record<string, string>)['x-Foo']).toEqual(undefined);
+      expect((req.headers as Record<string, string>)['X-Foo']).toEqual(undefined);
+      expect((req.headers as Record<string, string>)['x-baz']).toEqual(undefined);
+    });
+  });
+});
+
+describe('retries', () => {
+  test('retry on timeout', async () => {
+    let count = 0;
+    const testFetch = async (url: RequestInfo, { signal }: RequestInit = {}): Promise<Response> => {
+      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<Response> => {
+      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<Response> => {
+      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<typeof baseLinkedListNodeSchema> & {
+        next: LinkedListNode | null;
+      };
+      const linkedListNodeSchema: z.ZodType<LinkedListNode> = 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<string, unknown>;
+  stringify_output: {
+    brackets: string;
+    indices: string;
+    repeat: string;
+  };
+  no_empty_keys: Record<string, unknown>;
+}[];
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<StringifyOptions['sort']> = 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<StringifyOptions['sort']> = 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
index ef6ba27bf..527763465 100644
--- a/tests/responses.test.ts
+++ b/tests/responses.test.ts
@@ -1,5 +1,8 @@
-import { createResponseHeaders } from 'openai/core';
+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
@@ -23,3 +26,123 @@ describe('response parsing', () => {
     expect(headers['content-type']).toBe('text/xml, application/json');
   });
 });
+
+describe('request id', () => {
+  test('types', () => {
+    compareType<Awaited<APIPromise<string>>, string>(true);
+    compareType<Awaited<APIPromise<number>>, number>(true);
+    compareType<Awaited<APIPromise<null>>, null>(true);
+    compareType<Awaited<APIPromise<void>>, void>(true);
+    compareType<Awaited<APIPromise<Response>>, Response>(true);
+    compareType<Awaited<APIPromise<Response>>, Response>(true);
+    compareType<Awaited<APIPromise<{ foo: string }>>, { foo: string } & { _request_id?: string | null }>(
+      true,
+    );
+    compareType<Awaited<APIPromise<Array<{ foo: string }>>>, 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<Array<{ foo: string }>>(
+      (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<string>(
+      (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<Buffer> {
+      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<Buffer> {
+      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<Buffer> {
+      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<Buffer> {
+      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<Buffer> {
+      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<Buffer> {
+      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<Buffer> {
+      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<Buffer> {
+      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<Buffer> {
+      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<any>): Promise<PassThrough> {
+  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
index 6db84d3fe..e5f3e560a 100644
--- a/tests/stringifyQuery.test.ts
+++ b/tests/stringifyQuery.test.ts
@@ -1,8 +1,10 @@
-import { APIClient } from 'openai/core';
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-const { stringifyQuery } = APIClient.prototype as any;
+import { OpenAI } from 'openai';
 
-describe('APIClient.stringifyQuery', () => {
+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'],
@@ -18,9 +20,4 @@ describe('APIClient.stringifyQuery', () => {
       expect(stringifyQuery(input)).toEqual(expected);
     });
   }
-  for (const value of [[], {}, new Date()]) {
-    it(`${JSON.stringify(value)} -> <error>`, () => {
-      expect(() => stringifyQuery({ value })).toThrow(`Cannot stringify type ${typeof value}`);
-    });
-  }
 });
diff --git a/tests/uploads.test.ts b/tests/uploads.test.ts
index b40856e29..b64b80285 100644
--- a/tests/uploads.test.ts
+++ b/tests/uploads.test.ts
@@ -54,4 +54,12 @@ describe('toFile', () => {
     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<Response>;
+
+/**
+ * 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<void> } {
+  const fetchQueue: ((handler: typeof fetch) => void)[] = [];
+  const handlerQueue: Promise<typeof fetch>[] = [];
+
+  const enqueueHandler = () => {
+    handlerQueue.push(
+      new Promise<typeof fetch>((resolve) => {
+        fetchQueue.push((handle: typeof fetch) => {
+          enqueueHandler();
+          resolve(handle);
+        });
+      }),
+    );
+  };
+  enqueueHandler();
+
+  async function fetch(req: string | RequestInfo, init?: RequestInit): Promise<Response> {
+    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<Response>((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<void> {
+    return new Promise<void>((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<T>(
+  requestFn: (client: OpenAI) => Promise<T>,
+  snapshotIndex = 1,
+): Promise<T> {
+  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<string>).delete(qualifiedSnapshotName);
+
+  const data = snapshotState._snapshotData[qualifiedSnapshotName];
+  if (!data) {
+    throw new Error(`could not resolve snapshot with name ${qualifiedSnapshotName}`);
+  }
+  if (typeof data !== 'string') {
+    console.error(data);
+    throw new Error('Expected snapshot data to be a string');
+  }
+
+  const { fetch, handleRequest } = mockFetch();
+
+  const openai = new OpenAI({ fetch, apiKey: 'My API Key' });
+  const requestPromise = requestFn(openai);
+
+  await handleRequest(() =>
+    Promise.resolve(
+      new Response(
+        // remove leading & trailing quotes
+        data.slice(2, -2),
+        {
+          status: 200,
+          headers: { 'content-type': 'application/json' },
+        },
+      ),
+    ),
+  );
+
+  return await requestPromise;
+}
+
+export async function makeStreamSnapshotRequest<T extends AsyncIterable<any>>(
+  requestFn: (client: OpenAI) => T,
+): Promise<T> {
+  if (process.env['UPDATE_API_SNAPSHOTS'] === '1') {
+    var capturedResponseContent: string | null = null;
+
+    async function fetch(url: RequestInfo, init?: RequestInit) {
+      const response = await defaultFetch(url, init);
+      capturedResponseContent = await response.text();
+      return new Response(Readable.from(capturedResponseContent), response);
+    }
+
+    const openai = new OpenAI({ fetch });
+
+    const iterator = requestFn(openai);
+    for await (const _ of iterator) {
+      // consume iterator
+    }
+
+    if (!capturedResponseContent) {
+      throw new Error('did not capture a response');
+    }
+
+    const text = capturedResponseContent;
+    expect(text).toMatchSnapshot();
+    return iterator;
+  }
+
+  const qualifiedSnapshotName = `${expect.getState().currentTestName} 1`;
+  const snapshotState = expect.getState()['snapshotState'];
+  (snapshotState._uncheckedKeys as Set<string>).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<X, Y> = (<T>() => T extends X ? 1 : 2) extends <T>() => T extends Y ? 1 : 2 ? true : false;
+
+export const expectType = <T>(_expression: T): void => {
+  return;
+};
+
+export const compareType = <T1, T2>(_expression: Equal<T1, T2>): void => {
+  return;
+};
diff --git a/tsconfig.build.json b/tsconfig.build.json
index 6adad0d06..45811cb8b 100644
--- a/tsconfig.build.json
+++ b/tsconfig.build.json
@@ -7,7 +7,6 @@
     "paths": {
       "openai/*": ["dist/src/*"],
       "openai": ["dist/src/index.ts"],
-      "digest-fetch": ["./typings/digest-fetch"]
     },
     "noEmit": false,
     "declaration": true,
diff --git a/tsconfig.deno.json b/tsconfig.deno.json
index 5d6467665..849e070db 100644
--- a/tsconfig.deno.json
+++ b/tsconfig.deno.json
@@ -1,20 +1,14 @@
 {
   "extends": "./tsconfig.json",
-  "include": ["deno"],
+  "include": ["dist-deno"],
   "exclude": [],
   "compilerOptions": {
-    "rootDir": "./deno",
+    "rootDir": "./dist-deno",
     "lib": ["es2020", "DOM"],
-    "paths": {
-      "openai/_shims/auto/*": ["deno/_shims/auto/*-deno"],
-      "openai/*": ["deno/*"],
-      "openai": ["deno/index.ts"],
-      "digest-fetch": ["./typings/digest-fetch"]
-    },
     "noEmit": true,
     "declaration": true,
     "declarationMap": true,
-    "outDir": "deno",
+    "outDir": "dist-deno",
     "pretty": true,
     "sourceMap": true
   }
diff --git a/tsconfig.json b/tsconfig.json
index 9908b2c80..33767f7b1 100644
--- a/tsconfig.json
+++ b/tsconfig.json
@@ -11,8 +11,7 @@
     "paths": {
       "openai/_shims/auto/*": ["src/_shims/auto/*-node"],
       "openai/*": ["src/*"],
-      "openai": ["src/index.ts"],
-      "digest-fetch": ["./typings/digest-fetch"]
+      "openai": ["src/index.ts"]
     },
     "noEmit": true,
 
@@ -33,6 +32,7 @@
     "noUncheckedIndexedAccess": true,
     "noImplicitOverride": true,
     "noPropertyAccessFromIndexSignature": true,
+		"isolatedModules": true,
 
     "skipLibCheck": true
   }
diff --git a/typings/digest-fetch/index.d.ts b/typings/digest-fetch/index.d.ts
deleted file mode 100644
index f6bcbfda9..000000000
--- a/typings/digest-fetch/index.d.ts
+++ /dev/null
@@ -1,33 +0,0 @@
-declare module 'digest-fetch';
-
-import type { RequestInfo, RequestInit, Response } from 'node-fetch';
-
-type Algorithm = 'MD5' | 'MD5-sess';
-
-type Options = {
-  algorithm?: Algorithm;
-  statusCode?: number;
-  cnonceSize?: number;
-  basic?: boolean;
-  precomputeHash?: boolean;
-  logger?: typeof console;
-};
-
-class DigestClient {
-  user: string;
-  password: string;
-
-  private nonceRaw: string;
-  private logger?: typeof console;
-  private precomputedHash?: boolean;
-  private statusCode?: number;
-  private basic: boolean;
-  private cnonceSize: number;
-  private hasAuth: boolean;
-  private digest: { nc: number; algorithm: Algorithm; realm: string };
-
-  constructor(user: string, password: string, options: Options = {});
-  async fetch(url: RequestInfo, options: RequestInit = {}): Promise<Response>;
-}
-
-export default DigestClient;
diff --git a/yarn.lock b/yarn.lock
index a79485a26..ad5fb7630 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -322,9 +322,9 @@
     eslint-visitor-keys "^3.3.0"
 
 "@eslint-community/regexpp@^4.5.1":
-  version "4.9.0"
-  resolved "https://registry.yarnpkg.com/@eslint-community/regexpp/-/regexpp-4.9.0.tgz#7ccb5f58703fa61ffdcbf39e2c604a109e781162"
-  integrity sha512-zJmuCWj2VLBt4c25CfBIbMZLGLyhkvs7LznyVX5HfpzeocThgIj5XQK4L+g3U36mMcx8bPMhGyPpwCATamC4jQ==
+  version "4.11.1"
+  resolved "https://registry.yarnpkg.com/@eslint-community/regexpp/-/regexpp-4.11.1.tgz#a547badfc719eb3e5f4b556325e542fbe9d7a18f"
+  integrity sha512-m4DVN9ZqskZoLU5GlWZadwDnYo3vAEydiUayB9widCl9ffWx2IvPnp6n3on5rJmziJSw9Bv+Z3ChDVdMwXCY8Q==
 
 "@eslint-community/regexpp@^4.6.1":
   version "4.6.2"
@@ -432,6 +432,13 @@
     slash "^3.0.0"
     strip-ansi "^6.0.0"
 
+"@jest/create-cache-key-function@^29.7.0":
+  version "29.7.0"
+  resolved "https://registry.yarnpkg.com/@jest/create-cache-key-function/-/create-cache-key-function-29.7.0.tgz#793be38148fab78e65f40ae30c36785f4ad859f0"
+  integrity sha512-4QqS3LY5PBmTRHj9sAg1HLoPzqAI0uOX6wI/TRqHIcOxlFidy6YEmCQJk6FSZjNLGCeubDMfmkWL+qaLKhSGQA==
+  dependencies:
+    "@jest/types" "^29.6.3"
+
 "@jest/environment@^29.7.0":
   version "29.7.0"
   resolved "https://registry.yarnpkg.com/@jest/environment/-/environment-29.7.0.tgz#24d61f54ff1f786f3cd4073b4b94416383baf2a7"
@@ -662,15 +669,95 @@
   dependencies:
     "@sinonjs/commons" "^3.0.0"
 
-"@ts-morph/common@~0.20.0":
-  version "0.20.0"
-  resolved "https://registry.yarnpkg.com/@ts-morph/common/-/common-0.20.0.tgz#3f161996b085ba4519731e4d24c35f6cba5b80af"
-  integrity sha512-7uKjByfbPpwuzkstL3L5MQyuXPSKdoNG93Fmi2JoDcTf3pEP731JdRFAduRVkOs8oqxPsXKA+ScrWkdQ8t/I+Q==
+"@swc/core-darwin-arm64@1.4.16":
+  version "1.4.16"
+  resolved "https://registry.yarnpkg.com/@swc/core-darwin-arm64/-/core-darwin-arm64-1.4.16.tgz#2cd45d709ce76d448d96bf8d0006849541436611"
+  integrity sha512-UOCcH1GvjRnnM/LWT6VCGpIk0OhHRq6v1U6QXuPt5wVsgXnXQwnf5k3sG5Cm56hQHDvhRPY6HCsHi/p0oek8oQ==
+
+"@swc/core-darwin-x64@1.4.16":
+  version "1.4.16"
+  resolved "https://registry.yarnpkg.com/@swc/core-darwin-x64/-/core-darwin-x64-1.4.16.tgz#a5bc7d8b1dd850adb0bb95c6b5c742b92201fd01"
+  integrity sha512-t3bgqFoYLWvyVtVL6KkFNCINEoOrIlyggT/kJRgi1y0aXSr0oVgcrQ4ezJpdeahZZ4N+Q6vT3ffM30yIunELNA==
+
+"@swc/core-linux-arm-gnueabihf@1.4.16":
+  version "1.4.16"
+  resolved "https://registry.yarnpkg.com/@swc/core-linux-arm-gnueabihf/-/core-linux-arm-gnueabihf-1.4.16.tgz#961744908ee5cbb79bc009dcf58cc8b831111f38"
+  integrity sha512-DvHuwvEF86YvSd0lwnzVcjOTZ0jcxewIbsN0vc/0fqm9qBdMMjr9ox6VCam1n3yYeRtj4VFgrjeNFksqbUejdQ==
+
+"@swc/core-linux-arm64-gnu@1.4.16":
+  version "1.4.16"
+  resolved "https://registry.yarnpkg.com/@swc/core-linux-arm64-gnu/-/core-linux-arm64-gnu-1.4.16.tgz#43713be3f26757d82d2745dc25f8b63400e0a3d0"
+  integrity sha512-9Uu5YlPbyCvbidjKtYEsPpyZlu16roOZ5c2tP1vHfnU9bgf5Tz5q5VovSduNxPHx+ed2iC1b1URODHvDzbbDuQ==
+
+"@swc/core-linux-arm64-musl@1.4.16":
+  version "1.4.16"
+  resolved "https://registry.yarnpkg.com/@swc/core-linux-arm64-musl/-/core-linux-arm64-musl-1.4.16.tgz#394a7d030f3a61902bd3947bb9d70d26d42f3c81"
+  integrity sha512-/YZq/qB1CHpeoL0eMzyqK5/tYZn/rzKoCYDviFU4uduSUIJsDJQuQA/skdqUzqbheOXKAd4mnJ1hT04RbJ8FPQ==
+
+"@swc/core-linux-x64-gnu@1.4.16":
+  version "1.4.16"
+  resolved "https://registry.yarnpkg.com/@swc/core-linux-x64-gnu/-/core-linux-x64-gnu-1.4.16.tgz#71eb108b784f9d551ee8a35ebcdaed972f567981"
+  integrity sha512-UUjaW5VTngZYDcA8yQlrFmqs1tLi1TxbKlnaJwoNhel9zRQ0yG1YEVGrzTvv4YApSuIiDK18t+Ip927bwucuVQ==
+
+"@swc/core-linux-x64-musl@1.4.16":
+  version "1.4.16"
+  resolved "https://registry.yarnpkg.com/@swc/core-linux-x64-musl/-/core-linux-x64-musl-1.4.16.tgz#10dbaedb4e3dfc7268e3a9a66ad3431471ef035b"
+  integrity sha512-aFhxPifevDTwEDKPi4eRYWzC0p/WYJeiFkkpNU5Uc7a7M5iMWPAbPFUbHesdlb9Jfqs5c07oyz86u+/HySBNPQ==
+
+"@swc/core-win32-arm64-msvc@1.4.16":
+  version "1.4.16"
+  resolved "https://registry.yarnpkg.com/@swc/core-win32-arm64-msvc/-/core-win32-arm64-msvc-1.4.16.tgz#80247adff6c245ff32b44d773c1a148858cd655f"
+  integrity sha512-bTD43MbhIHL2s5QgCwyleaGwl96Gk/scF2TaVKdUe4QlJCDV/YK9h5oIBAp63ckHtE8GHlH4c8dZNBiAXn4Org==
+
+"@swc/core-win32-ia32-msvc@1.4.16":
+  version "1.4.16"
+  resolved "https://registry.yarnpkg.com/@swc/core-win32-ia32-msvc/-/core-win32-ia32-msvc-1.4.16.tgz#e540afc3ccf3224267b4ddfb408f9d9737984686"
+  integrity sha512-/lmZeAN/qV5XbK2SEvi8e2RkIg8FQNYiSA8y2/Zb4gTUMKVO5JMLH0BSWMiIKMstKDPDSxMWgwJaQHF8UMyPmQ==
+
+"@swc/core-win32-x64-msvc@1.4.16":
+  version "1.4.16"
+  resolved "https://registry.yarnpkg.com/@swc/core-win32-x64-msvc/-/core-win32-x64-msvc-1.4.16.tgz#f880939fca32c181adfe7e3abd2b6b7857bd3489"
+  integrity sha512-BPAfFfODWXtUu6SwaTTftDHvcbDyWBSI/oanUeRbQR5vVWkXoQ3cxLTsDluc3H74IqXS5z1Uyoe0vNo2hB1opA==
+
+"@swc/core@^1.3.102":
+  version "1.4.16"
+  resolved "https://registry.yarnpkg.com/@swc/core/-/core-1.4.16.tgz#d175bae2acfecd53bcbd4293f1fba5ec316634a0"
+  integrity sha512-Xaf+UBvW6JNuV131uvSNyMXHn+bh6LyKN4tbv7tOUFQpXyz/t9YWRE04emtlUW9Y0qrm/GKFCbY8n3z6BpZbTA==
+  dependencies:
+    "@swc/counter" "^0.1.2"
+    "@swc/types" "^0.1.5"
+  optionalDependencies:
+    "@swc/core-darwin-arm64" "1.4.16"
+    "@swc/core-darwin-x64" "1.4.16"
+    "@swc/core-linux-arm-gnueabihf" "1.4.16"
+    "@swc/core-linux-arm64-gnu" "1.4.16"
+    "@swc/core-linux-arm64-musl" "1.4.16"
+    "@swc/core-linux-x64-gnu" "1.4.16"
+    "@swc/core-linux-x64-musl" "1.4.16"
+    "@swc/core-win32-arm64-msvc" "1.4.16"
+    "@swc/core-win32-ia32-msvc" "1.4.16"
+    "@swc/core-win32-x64-msvc" "1.4.16"
+
+"@swc/counter@^0.1.2", "@swc/counter@^0.1.3":
+  version "0.1.3"
+  resolved "https://registry.yarnpkg.com/@swc/counter/-/counter-0.1.3.tgz#cc7463bd02949611c6329596fccd2b0ec782b0e9"
+  integrity sha512-e2BR4lsJkkRlKZ/qCHPw9ZaSxc0MVUd7gtbtaB7aMvHeJVYe8sOB8DBZkP2DtISHGSku9sCK6T6cnY0CtXrOCQ==
+
+"@swc/jest@^0.2.29":
+  version "0.2.36"
+  resolved "https://registry.yarnpkg.com/@swc/jest/-/jest-0.2.36.tgz#2797450a30d28b471997a17e901ccad946fe693e"
+  integrity sha512-8X80dp81ugxs4a11z1ka43FPhP+/e+mJNXJSxiNYk8gIX/jPBtY4gQTrKu/KIoco8bzKuPI5lUxjfLiGsfvnlw==
   dependencies:
-    fast-glob "^3.2.12"
-    minimatch "^7.4.3"
-    mkdirp "^2.1.6"
-    path-browserify "^1.0.1"
+    "@jest/create-cache-key-function" "^29.7.0"
+    "@swc/counter" "^0.1.3"
+    jsonc-parser "^3.2.0"
+
+"@swc/types@^0.1.5":
+  version "0.1.6"
+  resolved "https://registry.yarnpkg.com/@swc/types/-/types-0.1.6.tgz#2f13f748995b247d146de2784d3eb7195410faba"
+  integrity sha512-/JLo/l2JsT/LRd80C3HfbmVpxOAJ11FO2RCEslFrgzLltoP9j8XIbsyDcfCt2WWyX+CM96rBoNM+IToAkFOugg==
+  dependencies:
+    "@swc/counter" "^0.1.3"
 
 "@tsconfig/node10@^1.0.7":
   version "1.0.8"
@@ -760,9 +847,9 @@
     pretty-format "^29.0.0"
 
 "@types/json-schema@^7.0.12":
-  version "7.0.13"
-  resolved "https://registry.yarnpkg.com/@types/json-schema/-/json-schema-7.0.13.tgz#02c24f4363176d2d18fc8b70b9f3c54aba178a85"
-  integrity sha512-RbSSoHliUbnXj3ny0CNFOoxrIDV6SUGyStHsvDqosw6CkdPV8TtWGlfecuK4ToyMEAql6pzNxgCFKanovUzlgQ==
+  version "7.0.15"
+  resolved "https://registry.yarnpkg.com/@types/json-schema/-/json-schema-7.0.15.tgz#596a1747233694d50f6ad8a7869fcb6f56cf5841"
+  integrity sha512-5+fP8P8MFNC+AyZCDxrB2pkZFPGzqQWUzpSeuuVLvm8VMcorNYavBqoFcxK8bQz4Qsbn4oUEEem4wDLfcysGHA==
 
 "@types/node-fetch@^2.6.4":
   version "2.6.4"
@@ -785,15 +872,22 @@
   integrity sha512-DHQpWGjyQKSHj3ebjFI/wRKcqQcdR+MoFBygntYOZytCqNfkd2ZC4ARDJ2DQqhjH5p85Nnd3jhUJIXrszFX/JA==
 
 "@types/semver@^7.5.0":
-  version "7.5.3"
-  resolved "https://registry.yarnpkg.com/@types/semver/-/semver-7.5.3.tgz#9a726e116beb26c24f1ccd6850201e1246122e04"
-  integrity sha512-OxepLK9EuNEIPxWNME+C6WwbRAOOI2o2BaQEGzz5Lu2e4Z5eDnEo+/aVEDMIXywoJitJ7xWd641wrGLZdtwRyw==
+  version "7.5.8"
+  resolved "https://registry.yarnpkg.com/@types/semver/-/semver-7.5.8.tgz#8268a8c57a3e4abd25c165ecd36237db7948a55e"
+  integrity sha512-I8EUhyrgfLrcTkzV3TSsGyl1tSuPrEDzr0yd5m90UgNxQkyDXULk3b6MlQqTCpZpNtWe1K0hzclnZkTcLBe2UQ==
 
 "@types/stack-utils@^2.0.0":
   version "2.0.3"
   resolved "https://registry.yarnpkg.com/@types/stack-utils/-/stack-utils-2.0.3.tgz#6209321eb2c1712a7e7466422b8cb1fc0d9dd5d8"
   integrity sha512-9aEbYZ3TbYMznPdcdr3SmIrLXwC/AKZXQeCf9Pgao5CKb8CyHuEX5jzWPTkvregvhRJHcpRO6BFoGW9ycaOkYw==
 
+"@types/ws@^8.5.13":
+  version "8.5.13"
+  resolved "https://registry.yarnpkg.com/@types/ws/-/ws-8.5.13.tgz#6414c280875e2691d0d1e080b05addbf5cb91e20"
+  integrity sha512-osM/gWBTPKgHV8XkTunnegTRIsvF6owmf5w+JtAfOw472dptdm0dlGv4xCt6GwQRcC2XVOvvRE/0bAoQcL2QkA==
+  dependencies:
+    "@types/node" "*"
+
 "@types/yargs-parser@*":
   version "21.0.3"
   resolved "https://registry.yarnpkg.com/@types/yargs-parser/-/yargs-parser-21.0.3.tgz#815e30b786d2e8f0dcd85fd5bcf5e1a04d008f15"
@@ -807,15 +901,15 @@
     "@types/yargs-parser" "*"
 
 "@typescript-eslint/eslint-plugin@^6.7.0":
-  version "6.7.3"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-6.7.3.tgz#d98046e9f7102d49a93d944d413c6055c47fafd7"
-  integrity sha512-vntq452UHNltxsaaN+L9WyuMch8bMd9CqJ3zhzTPXXidwbf5mqqKCVXEuvRZUqLJSTLeWE65lQwyXsRGnXkCTA==
+  version "6.21.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-6.21.0.tgz#30830c1ca81fd5f3c2714e524c4303e0194f9cd3"
+  integrity sha512-oy9+hTPCUFpngkEZUSzbf9MxI65wbKFoQYsgPdILTfbUldp5ovUuphZVe4i30emU9M/kP+T64Di0mxl7dSw3MA==
   dependencies:
     "@eslint-community/regexpp" "^4.5.1"
-    "@typescript-eslint/scope-manager" "6.7.3"
-    "@typescript-eslint/type-utils" "6.7.3"
-    "@typescript-eslint/utils" "6.7.3"
-    "@typescript-eslint/visitor-keys" "6.7.3"
+    "@typescript-eslint/scope-manager" "6.21.0"
+    "@typescript-eslint/type-utils" "6.21.0"
+    "@typescript-eslint/utils" "6.21.0"
+    "@typescript-eslint/visitor-keys" "6.21.0"
     debug "^4.3.4"
     graphemer "^1.4.0"
     ignore "^5.2.4"
@@ -824,71 +918,72 @@
     ts-api-utils "^1.0.1"
 
 "@typescript-eslint/parser@^6.7.0":
-  version "6.7.3"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-6.7.3.tgz#aaf40092a32877439e5957e18f2d6a91c82cc2fd"
-  integrity sha512-TlutE+iep2o7R8Lf+yoer3zU6/0EAUc8QIBB3GYBc1KGz4c4TRm83xwXUZVPlZ6YCLss4r77jbu6j3sendJoiQ==
-  dependencies:
-    "@typescript-eslint/scope-manager" "6.7.3"
-    "@typescript-eslint/types" "6.7.3"
-    "@typescript-eslint/typescript-estree" "6.7.3"
-    "@typescript-eslint/visitor-keys" "6.7.3"
+  version "6.21.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-6.21.0.tgz#af8fcf66feee2edc86bc5d1cf45e33b0630bf35b"
+  integrity sha512-tbsV1jPne5CkFQCgPBcDOt30ItF7aJoZL997JSF7MhGQqOeT3svWRYxiqlfA5RUdlHN6Fi+EI9bxqbdyAUZjYQ==
+  dependencies:
+    "@typescript-eslint/scope-manager" "6.21.0"
+    "@typescript-eslint/types" "6.21.0"
+    "@typescript-eslint/typescript-estree" "6.21.0"
+    "@typescript-eslint/visitor-keys" "6.21.0"
     debug "^4.3.4"
 
-"@typescript-eslint/scope-manager@6.7.3":
-  version "6.7.3"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-6.7.3.tgz#07e5709c9bdae3eaf216947433ef97b3b8b7d755"
-  integrity sha512-wOlo0QnEou9cHO2TdkJmzF7DFGvAKEnB82PuPNHpT8ZKKaZu6Bm63ugOTn9fXNJtvuDPanBc78lGUGGytJoVzQ==
+"@typescript-eslint/scope-manager@6.21.0":
+  version "6.21.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-6.21.0.tgz#ea8a9bfc8f1504a6ac5d59a6df308d3a0630a2b1"
+  integrity sha512-OwLUIWZJry80O99zvqXVEioyniJMa+d2GrqpUTqi5/v5D5rOrppJVBPa0yKCblcigC0/aYAzxxqQ1B+DS2RYsg==
   dependencies:
-    "@typescript-eslint/types" "6.7.3"
-    "@typescript-eslint/visitor-keys" "6.7.3"
+    "@typescript-eslint/types" "6.21.0"
+    "@typescript-eslint/visitor-keys" "6.21.0"
 
-"@typescript-eslint/type-utils@6.7.3":
-  version "6.7.3"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-6.7.3.tgz#c2c165c135dda68a5e70074ade183f5ad68f3400"
-  integrity sha512-Fc68K0aTDrKIBvLnKTZ5Pf3MXK495YErrbHb1R6aTpfK5OdSFj0rVN7ib6Tx6ePrZ2gsjLqr0s98NG7l96KSQw==
+"@typescript-eslint/type-utils@6.21.0":
+  version "6.21.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-6.21.0.tgz#6473281cfed4dacabe8004e8521cee0bd9d4c01e"
+  integrity sha512-rZQI7wHfao8qMX3Rd3xqeYSMCL3SoiSQLBATSiVKARdFGCYSRvmViieZjqc58jKgs8Y8i9YvVVhRbHSTA4VBag==
   dependencies:
-    "@typescript-eslint/typescript-estree" "6.7.3"
-    "@typescript-eslint/utils" "6.7.3"
+    "@typescript-eslint/typescript-estree" "6.21.0"
+    "@typescript-eslint/utils" "6.21.0"
     debug "^4.3.4"
     ts-api-utils "^1.0.1"
 
-"@typescript-eslint/types@6.7.3":
-  version "6.7.3"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-6.7.3.tgz#0402b5628a63f24f2dc9d4a678e9a92cc50ea3e9"
-  integrity sha512-4g+de6roB2NFcfkZb439tigpAMnvEIg3rIjWQ+EM7IBaYt/CdJt6em9BJ4h4UpdgaBWdmx2iWsafHTrqmgIPNw==
+"@typescript-eslint/types@6.21.0":
+  version "6.21.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-6.21.0.tgz#205724c5123a8fef7ecd195075fa6e85bac3436d"
+  integrity sha512-1kFmZ1rOm5epu9NZEZm1kckCDGj5UJEf7P1kliH4LKu/RkwpsfqqGmY2OOcUs18lSlQBKLDYBOGxRVtrMN5lpg==
 
-"@typescript-eslint/typescript-estree@6.7.3":
-  version "6.7.3"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-6.7.3.tgz#ec5bb7ab4d3566818abaf0e4a8fa1958561b7279"
-  integrity sha512-YLQ3tJoS4VxLFYHTw21oe1/vIZPRqAO91z6Uv0Ss2BKm/Ag7/RVQBcXTGcXhgJMdA4U+HrKuY5gWlJlvoaKZ5g==
+"@typescript-eslint/typescript-estree@6.21.0":
+  version "6.21.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-6.21.0.tgz#c47ae7901db3b8bddc3ecd73daff2d0895688c46"
+  integrity sha512-6npJTkZcO+y2/kr+z0hc4HwNfrrP4kNYh57ek7yCNlrBjWQ1Y0OS7jiZTkgumrvkX5HkEKXFZkkdFNkaW2wmUQ==
   dependencies:
-    "@typescript-eslint/types" "6.7.3"
-    "@typescript-eslint/visitor-keys" "6.7.3"
+    "@typescript-eslint/types" "6.21.0"
+    "@typescript-eslint/visitor-keys" "6.21.0"
     debug "^4.3.4"
     globby "^11.1.0"
     is-glob "^4.0.3"
+    minimatch "9.0.3"
     semver "^7.5.4"
     ts-api-utils "^1.0.1"
 
-"@typescript-eslint/utils@6.7.3":
-  version "6.7.3"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-6.7.3.tgz#96c655816c373135b07282d67407cb577f62e143"
-  integrity sha512-vzLkVder21GpWRrmSR9JxGZ5+ibIUSudXlW52qeKpzUEQhRSmyZiVDDj3crAth7+5tmN1ulvgKaCU2f/bPRCzg==
+"@typescript-eslint/utils@6.21.0":
+  version "6.21.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-6.21.0.tgz#4714e7a6b39e773c1c8e97ec587f520840cd8134"
+  integrity sha512-NfWVaC8HP9T8cbKQxHcsJBY5YE1O33+jpMwN45qzWWaPDZgLIbo12toGMWnmhvCpd3sIxkpDw3Wv1B3dYrbDQQ==
   dependencies:
     "@eslint-community/eslint-utils" "^4.4.0"
     "@types/json-schema" "^7.0.12"
     "@types/semver" "^7.5.0"
-    "@typescript-eslint/scope-manager" "6.7.3"
-    "@typescript-eslint/types" "6.7.3"
-    "@typescript-eslint/typescript-estree" "6.7.3"
+    "@typescript-eslint/scope-manager" "6.21.0"
+    "@typescript-eslint/types" "6.21.0"
+    "@typescript-eslint/typescript-estree" "6.21.0"
     semver "^7.5.4"
 
-"@typescript-eslint/visitor-keys@6.7.3":
-  version "6.7.3"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-6.7.3.tgz#83809631ca12909bd2083558d2f93f5747deebb2"
-  integrity sha512-HEVXkU9IB+nk9o63CeICMHxFWbHWr3E1mpilIQBe9+7L/lH97rleFLVtYsfnWB+JVMaiFnEaxvknvmIzX+CqVg==
+"@typescript-eslint/visitor-keys@6.21.0":
+  version "6.21.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-6.21.0.tgz#87a99d077aa507e20e238b11d56cc26ade45fe47"
+  integrity sha512-JJtkDduxLi9bivAB+cYOVMtbkqdPOhZ+ZI5LC47MIRrDV4Yn2o+ZnW10Nkmr28xRpSpdJ6Sm42Hjf2+REYXm0A==
   dependencies:
-    "@typescript-eslint/types" "6.7.3"
+    "@typescript-eslint/types" "6.21.0"
     eslint-visitor-keys "^3.4.1"
 
 abort-controller@^3.0.0:
@@ -1076,11 +1171,6 @@ balanced-match@^1.0.0:
   resolved "https://registry.yarnpkg.com/balanced-match/-/balanced-match-1.0.2.tgz#e83e3a7e3f300b34cb9d87f615fa0cbf357690ee"
   integrity sha512-3oSeUO0TMV67hN1AmbXsK4yaqU7tjiHlbxRDZOpH0KW9+CeX4bRAaX0Anxt0tx2MrpRpWwQaPwIlISEJhYU5Pw==
 
-base-64@^0.1.0:
-  version "0.1.0"
-  resolved "https://registry.yarnpkg.com/base-64/-/base-64-0.1.0.tgz#780a99c84e7d600260361511c4877613bf24f6bb"
-  integrity sha512-Y5gU45svrR5tI2Vt/X9GPd3L0HNIKzGu202EjxrXMpuc2V2CiKgemAbUUsqYmZJvPtCXoUKjNZwBJzsNScUbXA==
-
 big-integer@^1.6.44:
   version "1.6.52"
   resolved "https://registry.yarnpkg.com/big-integer/-/big-integer-1.6.52.tgz#60a887f3047614a8e1bffe5d7173490a97dc8c85"
@@ -1108,12 +1198,12 @@ brace-expansion@^2.0.1:
   dependencies:
     balanced-match "^1.0.0"
 
-braces@^3.0.2:
-  version "3.0.2"
-  resolved "https://registry.yarnpkg.com/braces/-/braces-3.0.2.tgz#3454e1a462ee8d599e236df336cd9ea4f8afe107"
-  integrity sha512-b8um+L1RzM3WDSzvhm6gIz1yfTbBt6YTlcEKAvsmqCZZFw46z626lVj9j1yEPW33H5H+lBQpZMP1k8l+78Ha0A==
+braces@^3.0.3:
+  version "3.0.3"
+  resolved "https://registry.yarnpkg.com/braces/-/braces-3.0.3.tgz#490332f40919452272d55a8480adc0c441358789"
+  integrity sha512-yQbXgO/OSZVD2IsiLlro+7Hf6Q18EJrKSEsdoMzKePKXct3gvD8oLcOQdIzGupr5Fj+EDe8gO/lxc1BzfMpxvA==
   dependencies:
-    fill-range "^7.0.1"
+    fill-range "^7.1.1"
 
 browserslist@^4.22.2:
   version "4.22.2"
@@ -1193,11 +1283,6 @@ char-regex@^1.0.2:
   resolved "https://registry.yarnpkg.com/char-regex/-/char-regex-1.0.2.tgz#d744358226217f981ed58f479b1d6bcc29545dcf"
   integrity sha512-kWWXztvZ5SBQV+eRgKFeh8q5sLuZY2+8WUIzlxWVTg+oGwY14qylx1KbKzHd8P6ZYkAg0xyIDU9JMHhyJMZ1jw==
 
-charenc@0.0.2:
-  version "0.0.2"
-  resolved "https://registry.yarnpkg.com/charenc/-/charenc-0.0.2.tgz#c0a1d2f3a7092e03774bfa83f14c0fc5790a8667"
-  integrity sha512-yrLQ/yVUFXkzg7EDQsPieE/53+0RlaWTs+wBrvW36cyilJ2SaDWfl4Yj7MtLTXleV9uEKefbAGUPv2/iWSooRA==
-
 ci-info@^3.2.0:
   version "3.9.0"
   resolved "https://registry.yarnpkg.com/ci-info/-/ci-info-3.9.0.tgz#4279a62028a7b1f262f3473fc9605f5e218c59b4"
@@ -1227,11 +1312,6 @@ co@^4.6.0:
   resolved "https://registry.yarnpkg.com/co/-/co-4.6.0.tgz#6ea6bdf3d853ae54ccb8e47bfa0bf3f9031fb184"
   integrity sha512-QVb0dM5HvG+uaxitm8wONl7jltx8dqhfU33DcqtOZcLSVIKSDDLDi7+0LbAKiyI8hD9u42m2YxXSkMGWThaecQ==
 
-code-block-writer@^12.0.0:
-  version "12.0.0"
-  resolved "https://registry.yarnpkg.com/code-block-writer/-/code-block-writer-12.0.0.tgz#4dd58946eb4234105aff7f0035977b2afdc2a770"
-  integrity sha512-q4dMFMlXtKR3XNBHyMHt/3pwYNA69EDk00lloMOaaUMKPUXBw6lpXtbu3MMVG6/uOihGnRDOlkyqsONEUj60+w==
-
 collect-v8-coverage@^1.0.0:
   version "1.0.2"
   resolved "https://registry.yarnpkg.com/collect-v8-coverage/-/collect-v8-coverage-1.0.2.tgz#c0b29bcd33bcd0779a1344c2136051e6afd3d9e9"
@@ -1297,26 +1377,28 @@ create-require@^1.1.0:
   integrity sha512-dcKFX3jn0MpIaXjisoRvexIJVEKzaq7z2rZKxf+MSr9TkdmHmsU4m2lcLojrj/FHl8mk5VxMmYA+ftRkP/3oKQ==
 
 cross-spawn@^7.0.2, cross-spawn@^7.0.3:
-  version "7.0.3"
-  resolved "https://registry.yarnpkg.com/cross-spawn/-/cross-spawn-7.0.3.tgz#f73a85b9d5d41d045551c177e2882d4ac85728a6"
-  integrity sha512-iRDPJKUPVEND7dHPO8rkbOnPpyDygcDFtWjpeWNCgy8WP2rXcxXL8TskReQl6OrB2G7+UJrags1q15Fudc7G6w==
+  version "7.0.6"
+  resolved "https://registry.yarnpkg.com/cross-spawn/-/cross-spawn-7.0.6.tgz#8a58fe78f00dcd70c370451759dfbfaf03e8ee9f"
+  integrity sha512-uV2QOWP2nWzsy2aMp8aRibhi9dlzF5Hgh5SHaB9OiTGEyDTiJJyx0uy51QXdyWbtAHNua4XJzUKca3OzKUd3vA==
   dependencies:
     path-key "^3.1.0"
     shebang-command "^2.0.0"
     which "^2.0.1"
 
-crypt@0.0.2:
-  version "0.0.2"
-  resolved "https://registry.yarnpkg.com/crypt/-/crypt-0.0.2.tgz#88d7ff7ec0dfb86f713dc87bbb42d044d3e6c41b"
-  integrity sha512-mCxBlsHFYh9C+HVpiEacem8FEBnMXgU9gy4zmNC+SXAZNB/1idgp/aulFJ4FgCi7GPEVbfyng092GqL2k2rmow==
-
-debug@^4.1.0, debug@^4.1.1, debug@^4.3.1, debug@^4.3.2, debug@^4.3.4:
+debug@^4.1.0, debug@^4.1.1, debug@^4.3.1, debug@^4.3.2:
   version "4.3.4"
   resolved "https://registry.yarnpkg.com/debug/-/debug-4.3.4.tgz#1319f6579357f2338d3337d2cdd4914bb5dcc865"
   integrity sha512-PRWFHuSU3eDtQJPvnNY7Jcket1j0t5OuOsFzPPzsekD52Zl8qUfFIPEiswXqIvHWGVHOgX+7G/vCNNhehwxfkQ==
   dependencies:
     ms "2.1.2"
 
+debug@^4.3.4:
+  version "4.3.7"
+  resolved "https://registry.yarnpkg.com/debug/-/debug-4.3.7.tgz#87945b4151a011d76d95a198d7111c865c360a52"
+  integrity sha512-Er2nc/H7RrMXZBFCEim6TCmMk02Z8vLC2Rbi1KEBggpo0fS6l0S1nnapwmIi3yW/+GOJap1Krg4w0Hg80oCqgQ==
+  dependencies:
+    ms "^2.1.3"
+
 dedent@^1.0.0:
   version "1.5.1"
   resolved "https://registry.yarnpkg.com/dedent/-/dedent-1.5.1.tgz#4f3fc94c8b711e9bb2800d185cd6ad20f2a90aff"
@@ -1380,14 +1462,6 @@ diff@^4.0.1:
   resolved "https://registry.yarnpkg.com/diff/-/diff-4.0.2.tgz#60f3aecb89d5fae520c11aa19efc2bb982aade7d"
   integrity sha512-58lmxKSA4BNyLz+HHMUzlOEpg09FV+ev6ZMe3vJihgdxzgcwZ8VoEEPmALCZG9LmqfVoNMMKpttIYTVG6uDY7A==
 
-digest-fetch@^1.3.0:
-  version "1.3.0"
-  resolved "https://registry.yarnpkg.com/digest-fetch/-/digest-fetch-1.3.0.tgz#898e69264d00012a23cf26e8a3e40320143fc661"
-  integrity sha512-CGJuv6iKNM7QyZlM2T3sPAdZWd/p9zQiRNS9G+9COUCwzWFTs0Xp8NF5iePx7wtvhDykReiRRrSeNb4oMmB8lA==
-  dependencies:
-    base-64 "^0.1.0"
-    md5 "^2.3.0"
-
 dir-glob@^3.0.1:
   version "3.0.1"
   resolved "https://registry.yarnpkg.com/dir-glob/-/dir-glob-3.0.1.tgz#56dbf73d992a4a93ba1584f4534063fd2e41717f"
@@ -1472,12 +1546,7 @@ eslint-scope@^7.2.2:
     esrecurse "^4.3.0"
     estraverse "^5.2.0"
 
-eslint-visitor-keys@^3.3.0, eslint-visitor-keys@^3.4.1:
-  version "3.4.2"
-  resolved "https://registry.yarnpkg.com/eslint-visitor-keys/-/eslint-visitor-keys-3.4.2.tgz#8c2095440eca8c933bedcadf16fefa44dbe9ba5f"
-  integrity sha512-8drBzUEyZ2llkpCA67iYrgEssKDUu68V8ChqqOfFupIaG/LCVPUT+CoGJpT77zJprs4T/W7p07LP7zAIMuweVw==
-
-eslint-visitor-keys@^3.4.3:
+eslint-visitor-keys@^3.3.0, eslint-visitor-keys@^3.4.1, eslint-visitor-keys@^3.4.3:
   version "3.4.3"
   resolved "https://registry.yarnpkg.com/eslint-visitor-keys/-/eslint-visitor-keys-3.4.3.tgz#0cd72fe8550e3c2eae156a96a4dddcd1c8ac5800"
   integrity sha512-wpc+LXeiyiisxPlEkUzU6svyS1frIO3Mgxj1fdy7Pm8Ygzguax2N3Fa/D/ag1WqbOprdI+uY6wMUl8/a2G+iag==
@@ -1614,6 +1683,13 @@ expect@^29.0.0, expect@^29.7.0:
     jest-message-util "^29.7.0"
     jest-util "^29.7.0"
 
+fast-check@^3.22.0:
+  version "3.22.0"
+  resolved "https://registry.yarnpkg.com/fast-check/-/fast-check-3.22.0.tgz#1a8153e9d6fbdcc60b818f447cbb9cac1fdd8fb6"
+  integrity sha512-8HKz3qXqnHYp/VCNn2qfjHdAdcI8zcSqOyX64GOMukp7SL2bfzfeDKjSd+UyECtejccaZv3LcvZTm9YDD22iCQ==
+  dependencies:
+    pure-rand "^6.1.0"
+
 fast-deep-equal@^3.1.1, fast-deep-equal@^3.1.3:
   version "3.1.3"
   resolved "https://registry.yarnpkg.com/fast-deep-equal/-/fast-deep-equal-3.1.3.tgz#3a7d56b559d6cbc3eb512325244e619a65c6c525"
@@ -1635,18 +1711,7 @@ fast-glob@^3.2.12:
     merge2 "^1.3.0"
     micromatch "^4.0.4"
 
-fast-glob@^3.2.9:
-  version "3.3.1"
-  resolved "https://registry.yarnpkg.com/fast-glob/-/fast-glob-3.3.1.tgz#784b4e897340f3dbbef17413b3f11acf03c874c4"
-  integrity sha512-kNFPyjhh5cKjrUltxs+wFx+ZkbRaxxmZ+X0ZU31SOsxCEtP9VPgtq2teZw1DebupL5GmDaNQ6yKMMVcM41iqDg==
-  dependencies:
-    "@nodelib/fs.stat" "^2.0.2"
-    "@nodelib/fs.walk" "^1.2.3"
-    glob-parent "^5.1.2"
-    merge2 "^1.3.0"
-    micromatch "^4.0.4"
-
-fast-glob@^3.3.0:
+fast-glob@^3.2.9, fast-glob@^3.3.0:
   version "3.3.2"
   resolved "https://registry.yarnpkg.com/fast-glob/-/fast-glob-3.3.2.tgz#a904501e57cfdd2ffcded45e99a54fef55e46129"
   integrity sha512-oX2ruAFQwf/Orj8m737Y5adxDQO0LAB7/S5MnxCdTNDd4p6BsyIVsv9JQsATbTSq8KHRpLwIHbVlUNatxd+1Ow==
@@ -1668,9 +1733,9 @@ fast-levenshtein@^2.0.6:
   integrity sha512-DCXu6Ifhqcks7TZKY3Hxp3y6qphY5SJZmrWMDrKcERSOXWQdMhU9Ig/PYrzyw/ul9jOIyh0N4M0tbC5hodg8dw==
 
 fastq@^1.6.0:
-  version "1.15.0"
-  resolved "https://registry.yarnpkg.com/fastq/-/fastq-1.15.0.tgz#d04d07c6a2a68fe4599fea8d2e103a937fae6b3a"
-  integrity sha512-wBrocU2LCXXa+lWBt8RoIRD89Fi8OdABODa/kEnyeyjS5aZO5/GNvI5sEINADqP/h8M29UHTHUb53sUu5Ihqdw==
+  version "1.17.1"
+  resolved "https://registry.yarnpkg.com/fastq/-/fastq-1.17.1.tgz#2a523f07a4e7b1e81a42b91b8bf2254107753b47"
+  integrity sha512-sRVD3lWVIXWg6By68ZN7vho9a1pQcN/WBFaAAsDDFzlJjvoGx0P8z7V1t72grFJfJhu3YPZBuu25f7Kaw2jN1w==
   dependencies:
     reusify "^1.0.4"
 
@@ -1688,10 +1753,10 @@ file-entry-cache@^6.0.1:
   dependencies:
     flat-cache "^3.0.4"
 
-fill-range@^7.0.1:
-  version "7.0.1"
-  resolved "https://registry.yarnpkg.com/fill-range/-/fill-range-7.0.1.tgz#1919a6a7c75fe38b2c7c77e5198535da9acdda40"
-  integrity sha512-qOo9F+dMUmC2Lcb4BbVvnKJxTPjCm+RRpe4gDuGrzkL7mEVl/djYSu2OdQ2Pa302N4oqkSg9ir6jaLWJ2USVpQ==
+fill-range@^7.1.1:
+  version "7.1.1"
+  resolved "https://registry.yarnpkg.com/fill-range/-/fill-range-7.1.1.tgz#44265d3cac07e3ea7dc247516380643754a05292"
+  integrity sha512-YsGpe3WHLK8ZYi4tWDg2Jy3ebRz2rXowDxnld4bkQB00cc/1Zw9AWnC0i9ztDJitivtQvaI9KaLyKrc+hBW0yg==
   dependencies:
     to-regex-range "^5.0.1"
 
@@ -1885,10 +1950,17 @@ humanize-ms@^1.2.1:
   dependencies:
     ms "^2.0.0"
 
+iconv-lite@^0.6.3:
+  version "0.6.3"
+  resolved "https://registry.yarnpkg.com/iconv-lite/-/iconv-lite-0.6.3.tgz#a52f80bf38da1952eb5c681790719871a1a72501"
+  integrity sha512-4fCk79wshMdzMp2rH06qWrJE4iolqLhCUH+OiuIgU++RB0+94NlDL81atO7GX55uUKueo0txHNtvEyI6D7WdMw==
+  dependencies:
+    safer-buffer ">= 2.1.2 < 3.0.0"
+
 ignore@^5.2.0, ignore@^5.2.4:
-  version "5.2.4"
-  resolved "https://registry.yarnpkg.com/ignore/-/ignore-5.2.4.tgz#a291c0c6178ff1b960befe47fcdec301674a6324"
-  integrity sha512-MAb38BcSbH0eHNBxn7ql2NH/kX33OkB3lZ1BNdh7ENeRChHTYsTvWrMubiIAMNS2llXEEgZ1MUOBtXChP3kaFQ==
+  version "5.3.2"
+  resolved "https://registry.yarnpkg.com/ignore/-/ignore-5.3.2.tgz#3cd40e729f3643fd87cb04e50bf0eb722bc596f5"
+  integrity sha512-hsBTNUqQTDwkWtcdYI2i06Y/nUBEsNEDJKjWdigLvegy8kDuJAS8uRlpkkcQpyEXL0Z/pjDy5HBmMjRCJ2gq+g==
 
 import-fresh@^3.2.1:
   version "3.3.0"
@@ -1934,11 +2006,6 @@ is-arrayish@^0.2.1:
   resolved "https://registry.yarnpkg.com/is-arrayish/-/is-arrayish-0.2.1.tgz#77c99840527aa8ecb1a8ba697b80645a7a926a9d"
   integrity sha512-zz06S8t0ozoDXMG+ube26zeCTNXcKIPJZJi8hBrF4idCLms4CG9QtK7qBl1boi5ODzFpjswb5JPmHCbMpjaYzg==
 
-is-buffer@~1.1.6:
-  version "1.1.6"
-  resolved "https://registry.yarnpkg.com/is-buffer/-/is-buffer-1.1.6.tgz#efaa2ea9daa0d7ab2ea13a97b2b8ad51fefbe8be"
-  integrity sha512-NcdALwpXkTm5Zvvbk7owOUSvVvBKDgKP5/ewfXEznmQFfs4ZRmanOeKBTjRVjka3QFoN6XJ+9F3USqfHqTaU5w==
-
 is-core-module@^2.13.0:
   version "2.13.1"
   resolved "https://registry.yarnpkg.com/is-core-module/-/is-core-module-2.13.1.tgz#ad0d7532c6fea9da1ebdc82742d74525c6273384"
@@ -2473,6 +2540,11 @@ json5@^2.2.2, json5@^2.2.3:
   resolved "https://registry.yarnpkg.com/json5/-/json5-2.2.3.tgz#78cd6f1a19bdc12b73db5ad0c61efd66c1e29283"
   integrity sha512-XmOWe7eyHYH14cLdVPoyg+GOH3rYX++KpzrylJwSW98t3Nk+U8XOl8FWKOgwtzdb8lXGf6zYwDUzeHMWfxasyg==
 
+jsonc-parser@^3.2.0:
+  version "3.2.1"
+  resolved "https://registry.yarnpkg.com/jsonc-parser/-/jsonc-parser-3.2.1.tgz#031904571ccf929d7670ee8c547545081cb37f1a"
+  integrity sha512-AilxAyFOAcK5wA1+LeaySVBrHsGQvUFCDWXKpZjzaL0PqW+xfBOttn8GNtWKFWqneyMZj41MWF9Kl6iPWLwgOA==
+
 kleur@^3.0.3:
   version "3.0.3"
   resolved "https://registry.yarnpkg.com/kleur/-/kleur-3.0.3.tgz#a79c9ecc86ee1ce3fa6206d1216c501f147fc07e"
@@ -2553,15 +2625,6 @@ makeerror@1.0.12:
   dependencies:
     tmpl "1.0.5"
 
-md5@^2.3.0:
-  version "2.3.0"
-  resolved "https://registry.yarnpkg.com/md5/-/md5-2.3.0.tgz#c3da9a6aae3a30b46b7b0c349b87b110dc3bda4f"
-  integrity sha512-T1GITYmFaKuO91vxyoQMFETst+O71VUPEU3ze5GNzDm0OWdP8v1ziTaAEPUr/3kLsY3Sftgz242A1SetQiDL7g==
-  dependencies:
-    charenc "0.0.2"
-    crypt "0.0.2"
-    is-buffer "~1.1.6"
-
 merge-stream@^2.0.0:
   version "2.0.0"
   resolved "https://registry.yarnpkg.com/merge-stream/-/merge-stream-2.0.0.tgz#52823629a14dd00c9770fb6ad47dc6310f2c1f60"
@@ -2573,11 +2636,11 @@ merge2@^1.3.0, merge2@^1.4.1:
   integrity sha512-8q7VEgMJW4J8tcfVPy8g09NcQwZdbwFEqhe/WZkoIzjn/3TGDwtOCYtXGxA3O8tPzpczCCDgv+P2P5y00ZJOOg==
 
 micromatch@^4.0.4:
-  version "4.0.5"
-  resolved "https://registry.yarnpkg.com/micromatch/-/micromatch-4.0.5.tgz#bc8999a7cbbf77cdc89f132f6e467051b49090c6"
-  integrity sha512-DMy+ERcEW2q8Z2Po+WNXuw3c5YaUSFjAO5GsJqfEl7UjvtIuFKO6ZrKvcItdy98dwFI2N1tg3zNIdKaQT+aNdA==
+  version "4.0.8"
+  resolved "https://registry.yarnpkg.com/micromatch/-/micromatch-4.0.8.tgz#d66fa18f3a47076789320b9b1af32bd86d9fa202"
+  integrity sha512-PXwfBhYu0hBCPw8Dn0E+WDYb7af3dSLVWKi3HGv84IdF4TyFoC0ysxFd0Goxw7nSv4T/PzEJQxsYsEiFCKo2BA==
   dependencies:
-    braces "^3.0.2"
+    braces "^3.0.3"
     picomatch "^2.3.1"
 
 mime-db@1.51.0:
@@ -2602,6 +2665,13 @@ mimic-fn@^4.0.0:
   resolved "https://registry.yarnpkg.com/mimic-fn/-/mimic-fn-4.0.0.tgz#60a90550d5cb0b239cca65d893b1a53b29871ecc"
   integrity sha512-vqiC06CuhBTUdZH+RYl8sFrL096vA45Ok5ISO6sE/Mr1jRbGH4Csnhi8f3wKVl7x8mO4Au7Ir9D3Oyv1VYMFJw==
 
+minimatch@9.0.3:
+  version "9.0.3"
+  resolved "https://registry.yarnpkg.com/minimatch/-/minimatch-9.0.3.tgz#a6e00c3de44c3a542bfaae70abfc22420a6da825"
+  integrity sha512-RHiac9mvaRw0x3AYRgDC1CxAP7HTcNrrECeA8YYJeWnpo+2Q5CegtZjaotWTWxDG3UeGA1coE05iH1mPjT/2mg==
+  dependencies:
+    brace-expansion "^2.0.1"
+
 minimatch@^3.0.4, minimatch@^3.0.5, minimatch@^3.1.1, minimatch@^3.1.2:
   version "3.1.2"
   resolved "https://registry.yarnpkg.com/minimatch/-/minimatch-3.1.2.tgz#19cd194bfd3e428f049a70817c038d89ab4be35b"
@@ -2609,29 +2679,17 @@ minimatch@^3.0.4, minimatch@^3.0.5, minimatch@^3.1.1, minimatch@^3.1.2:
   dependencies:
     brace-expansion "^1.1.7"
 
-minimatch@^7.4.3:
-  version "7.4.6"
-  resolved "https://registry.yarnpkg.com/minimatch/-/minimatch-7.4.6.tgz#845d6f254d8f4a5e4fd6baf44d5f10c8448365fb"
-  integrity sha512-sBz8G/YjVniEz6lKPNpKxXwazJe4c19fEfV2GDMX6AjFz+MX9uDWIZW8XreVhkFW3fkIdTv/gxWr/Kks5FFAVw==
-  dependencies:
-    brace-expansion "^2.0.1"
-
 minimist@^1.2.6:
   version "1.2.6"
   resolved "https://registry.yarnpkg.com/minimist/-/minimist-1.2.6.tgz#8637a5b759ea0d6e98702cfb3a9283323c93af44"
   integrity sha512-Jsjnk4bw3YJqYzbdyBiNsPWHPfO++UGG749Cxs6peCu5Xg4nrena6OVxOYxrQTqww0Jmwt+Ref8rggumkTLz9Q==
 
-mkdirp@^2.1.6:
-  version "2.1.6"
-  resolved "https://registry.yarnpkg.com/mkdirp/-/mkdirp-2.1.6.tgz#964fbcb12b2d8c5d6fbc62a963ac95a273e2cc19"
-  integrity sha512-+hEnITedc8LAtIP9u3HJDFIdcLV2vXP33sqLLIzkv1Db1zO/1OxbvYf0Y1OC/S/Qo5dxHXepofhmxL02PsKe+A==
-
 ms@2.1.2:
   version "2.1.2"
   resolved "https://registry.yarnpkg.com/ms/-/ms-2.1.2.tgz#d09d1f357b443f493382a8eb3ccd183872ae6009"
   integrity sha512-sGkPx+VjMtmA6MX27oA4FBFELFCZZ4S4XqeGOXCv68tT+jb3vk/RyaKWP0PTKyWtmLSM0b+adUTEvbs1PEaH2w==
 
-ms@^2.0.0:
+ms@^2.0.0, ms@^2.1.3:
   version "2.1.3"
   resolved "https://registry.yarnpkg.com/ms/-/ms-2.1.3.tgz#574c8138ce1d2b5861f0b44579dbadd60c6615b2"
   integrity sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA==
@@ -2789,11 +2847,6 @@ parse-json@^5.2.0:
     json-parse-even-better-errors "^2.3.0"
     lines-and-columns "^1.1.6"
 
-path-browserify@^1.0.1:
-  version "1.0.1"
-  resolved "https://registry.yarnpkg.com/path-browserify/-/path-browserify-1.0.1.tgz#d98454a9c3753d5790860f16f68867b9e46be1fd"
-  integrity sha512-b7uo2UCUOYZcnF/3ID0lulOJi/bafxa1xPe7ZPsammBSpjSWQkjNxlt635YGS2MiR9GjvuXCtz2emr3jbsz98g==
-
 path-exists@^4.0.0:
   version "4.0.0"
   resolved "https://registry.yarnpkg.com/path-exists/-/path-exists-4.0.0.tgz#513bdbe2d3b95d7762e8c1137efa195c6c61b5b3"
@@ -2851,6 +2904,11 @@ prelude-ls@^1.2.1:
   resolved "https://registry.yarnpkg.com/prelude-ls/-/prelude-ls-1.2.1.tgz#debc6489d7a6e6b0e7611888cec880337d316396"
   integrity sha512-vkcDPrRZo1QZLbn5RLGPpg/WmIQ65qoWWhcGKf/b5eplkkarX0m9z8ppCat4mlOqUsWpyNuYgO3VRyrYHSzX5g==
 
+"prettier-2@npm:prettier@^2":
+  version "2.8.8"
+  resolved "https://registry.yarnpkg.com/prettier/-/prettier-2.8.8.tgz#e8c5d7e98a4305ffe3de2e1fc4aca1a71c28b1da"
+  integrity sha512-tdN8qQGvNjw4CHbY+XXk0JgCXn9QiF21a55rBe5LJAU+kDyC4WQn4+awm2Xfk2lQMk5fKup9XgzTZtGkjBdP9Q==
+
 prettier-linter-helpers@^1.0.0:
   version "1.0.0"
   resolved "https://registry.yarnpkg.com/prettier-linter-helpers/-/prettier-linter-helpers-1.0.0.tgz#d23d41fe1375646de2d0104d3454a3008802cf7b"
@@ -2890,6 +2948,11 @@ pure-rand@^6.0.0:
   resolved "https://registry.yarnpkg.com/pure-rand/-/pure-rand-6.0.4.tgz#50b737f6a925468679bff00ad20eade53f37d5c7"
   integrity sha512-LA0Y9kxMYv47GIPJy6MI84fqTd2HmYZI83W/kM/SkKfDlajnZYfmXFTxkbY+xSBPkLJxltMa9hIkmdc29eguMA==
 
+pure-rand@^6.1.0:
+  version "6.1.0"
+  resolved "https://registry.yarnpkg.com/pure-rand/-/pure-rand-6.1.0.tgz#d173cf23258231976ccbdb05247c9787957604f2"
+  integrity sha512-bVWawvoZoBYpp6yIoQtQXHZjmz35RSVHnUOTefl8Vcjr8snTPY1wnpSPMWekcFwbxI6gtmT7rSYPFvz71ldiOA==
+
 queue-microtask@^1.2.2:
   version "1.2.3"
   resolved "https://registry.yarnpkg.com/queue-microtask/-/queue-microtask-1.2.3.tgz#4929228bbc724dfac43e0efb058caf7b6cfb6243"
@@ -2976,18 +3039,28 @@ safe-buffer@~5.2.0:
   resolved "https://registry.yarnpkg.com/safe-buffer/-/safe-buffer-5.2.1.tgz#1eaf9fa9bdb1fdd4ec75f58f9cdb4e6b7827eec6"
   integrity sha512-rp3So07KcdmmKbGvgaNxQSJr7bGVSVk5S9Eq1F+ppbRo70+YeaDxkw5Dd8NPN+GD6bjnYm2VuPuCXmpuYvmCXQ==
 
+"safer-buffer@>= 2.1.2 < 3.0.0":
+  version "2.1.2"
+  resolved "https://registry.yarnpkg.com/safer-buffer/-/safer-buffer-2.1.2.tgz#44fa161b0187b9549dd84bb91802f9bd8385cd6a"
+  integrity sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg==
+
 semver@^6.3.0, semver@^6.3.1:
   version "6.3.1"
   resolved "https://registry.yarnpkg.com/semver/-/semver-6.3.1.tgz#556d2ef8689146e46dcea4bfdd095f3434dffcb4"
   integrity sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==
 
-semver@^7.5.3, semver@^7.5.4:
+semver@^7.5.3:
   version "7.5.4"
   resolved "https://registry.yarnpkg.com/semver/-/semver-7.5.4.tgz#483986ec4ed38e1c6c48c34894a9182dbff68a6e"
   integrity sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==
   dependencies:
     lru-cache "^6.0.0"
 
+semver@^7.5.4:
+  version "7.6.3"
+  resolved "https://registry.yarnpkg.com/semver/-/semver-7.6.3.tgz#980f7b5550bc175fb4dc09403085627f9eb33143"
+  integrity sha512-oVekP1cKtI+CTDvHWYFUcMtsK/00wmAEfyqKfNdARm8u1wNVhSgaX7A8d4UuIlUI5e84iEwOhs7ZPYRmzU9U6A==
+
 shebang-command@^2.0.0:
   version "2.0.0"
   resolved "https://registry.yarnpkg.com/shebang-command/-/shebang-command-2.0.0.tgz#ccd0af4f8835fbdc265b82461aaf0c36663f34ea"
@@ -3184,9 +3257,9 @@ tr46@~0.0.3:
   integrity sha1-gYT9NH2snNwYWZLzpmIuFLnZq2o=
 
 ts-api-utils@^1.0.1:
-  version "1.0.3"
-  resolved "https://registry.yarnpkg.com/ts-api-utils/-/ts-api-utils-1.0.3.tgz#f12c1c781d04427313dbac808f453f050e54a331"
-  integrity sha512-wNMeqtMz5NtwpT/UZGY5alT+VoKdSsOOP/kqHFcUW1P/VRhH2wJ48+DN2WwUliNbQ976ETwDL0Ifd2VVvgonvg==
+  version "1.3.0"
+  resolved "https://registry.yarnpkg.com/ts-api-utils/-/ts-api-utils-1.3.0.tgz#4b490e27129f1e8e686b45cc4ab63714dc60eea1"
+  integrity sha512-UQMIo7pb8WRomKR1/+MFVLTroIvDVtMX3K6OUir8ynLyzB8Jeriont2bTAtmNPa1ekAgN7YPDyf6V+ygrdU+eQ==
 
 ts-jest@^29.1.0:
   version "29.1.1"
@@ -3202,14 +3275,6 @@ ts-jest@^29.1.0:
     semver "^7.5.3"
     yargs-parser "^21.0.1"
 
-ts-morph@^19.0.0:
-  version "19.0.0"
-  resolved "https://registry.yarnpkg.com/ts-morph/-/ts-morph-19.0.0.tgz#43e95fb0156c3fe3c77c814ac26b7d0be2f93169"
-  integrity sha512-D6qcpiJdn46tUqV45vr5UGM2dnIEuTGNxVhg0sk5NX11orcouwj6i1bMqZIz2mZTZB1Hcgy7C3oEVhAT+f6mbQ==
-  dependencies:
-    "@ts-morph/common" "~0.20.0"
-    code-block-writer "^12.0.0"
-
 ts-node@^10.5.0:
   version "10.7.0"
   resolved "https://registry.yarnpkg.com/ts-node/-/ts-node-10.7.0.tgz#35d503d0fab3e2baa672a0e94f4b40653c2463f5"
@@ -3347,11 +3412,6 @@ web-streams-polyfill@4.0.0-beta.1:
   resolved "https://registry.yarnpkg.com/web-streams-polyfill/-/web-streams-polyfill-4.0.0-beta.1.tgz#3b19b9817374b7cee06d374ba7eeb3aeb80e8c95"
   integrity sha512-3ux37gEX670UUphBF9AMCq8XM6iQ8Ac6A+DSRRjDoRBm1ufCkaCDdNVbaqq60PsEkdNlLKrGtv/YBP4EJXqNtQ==
 
-web-streams-polyfill@^3.2.1:
-  version "3.2.1"
-  resolved "https://registry.yarnpkg.com/web-streams-polyfill/-/web-streams-polyfill-3.2.1.tgz#71c2718c52b45fd49dbeee88634b3a60ceab42a6"
-  integrity sha512-e0MO3wdXWKrLbL0DgGnUV7WHVuw9OUvL4hjgnPkIeEvESk74gAITi5G606JtZPp39cd8HA9VQzCIvA49LpPN5Q==
-
 webidl-conversions@^3.0.0:
   version "3.0.1"
   resolved "https://registry.yarnpkg.com/webidl-conversions/-/webidl-conversions-3.0.1.tgz#24534275e2a7bc6be7bc86611cc16ae0a5654871"
@@ -3394,6 +3454,11 @@ write-file-atomic@^4.0.2:
     imurmurhash "^0.1.4"
     signal-exit "^3.0.7"
 
+ws@^8.18.0:
+  version "8.18.0"
+  resolved "https://registry.yarnpkg.com/ws/-/ws-8.18.0.tgz#0d7505a6eafe2b0e712d232b42279f53bc289bbc"
+  integrity sha512-8VbfWfHLbbwu3+N6OKsOMpBdT4kXPDDB9cJk2bJ6mh9ucxdlnNvH1e+roYkKmN9Nxw2yjz7VzeO9oOz2zJ04Pw==
+
 y18n@^5.0.5:
   version "5.0.8"
   resolved "https://registry.yarnpkg.com/y18n/-/y18n-5.0.8.tgz#7f4934d0f7ca8c56f95314939ddcd2dd91ce1d55"
@@ -3436,3 +3501,8 @@ yocto-queue@^0.1.0:
   version "0.1.0"
   resolved "https://registry.yarnpkg.com/yocto-queue/-/yocto-queue-0.1.0.tgz#0294eb3dee05028d31ee1a5fa2c556a6aaf10a1b"
   integrity sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==
+
+zod@^3.23.8:
+  version "3.23.8"
+  resolved "https://registry.yarnpkg.com/zod/-/zod-3.23.8.tgz#e37b957b5d52079769fb8097099b592f0ef4067d"
+  integrity sha512-XBx9AXhXktjUqnepgTiE5flcKIYWi/rme0Eaj+5Y0lftuGBq+jyRu/md4WnuxqgP1ubdpNCsYEYPxrzVHD8d6g==