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feat: use stream api only #629

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26 changes: 13 additions & 13 deletions src/agents/extensions/models/litellm_model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -78,7 +78,7 @@ async def get_response(
| {"base_url": str(self.base_url or ""), "model_impl": "litellm"},
disabled=tracing.is_disabled(),
) as span_generation:
response = await self._fetch_response(
response, stream = await self._fetch_response(
system_instructions,
input,
model_settings,
Expand All @@ -87,26 +87,30 @@ async def get_response(
handoffs,
span_generation,
tracing,
stream=False,
stream=True,
)

assert isinstance(response.choices[0], litellm.types.utils.Choices)
async for chunk in ChatCmplStreamHandler.handle_stream(response, stream):
if chunk.type == "response.completed":
response = chunk.response

message = Converter.output_items_to_message(response.output)

if _debug.DONT_LOG_MODEL_DATA:
logger.debug("Received model response")
else:
logger.debug(
f"LLM resp:\n{json.dumps(response.choices[0].message.model_dump(), indent=2)}\n"
f"LLM resp:\n{json.dumps(message.model_dump(), indent=2)}\n"
)

if hasattr(response, "usage"):
response_usage = response.usage
usage = (
Usage(
requests=1,
input_tokens=response_usage.prompt_tokens,
output_tokens=response_usage.completion_tokens,
total_tokens=response_usage.total_tokens,
input_tokens=response.usage.input_tokens,
output_tokens=response.usage.output_tokens,
total_tokens=response.usage.total_tokens,
)
if response.usage
else Usage()
Expand All @@ -116,18 +120,14 @@ async def get_response(
logger.warning("No usage information returned from Litellm")

if tracing.include_data():
span_generation.span_data.output = [response.choices[0].message.model_dump()]
span_generation.span_data.output = [message.model_dump()]
span_generation.span_data.usage = {
"input_tokens": usage.input_tokens,
"output_tokens": usage.output_tokens,
}

items = Converter.message_to_output_items(
LitellmConverter.convert_message_to_openai(response.choices[0].message)
)

return ModelResponse(
output=items,
output=response.output,
usage=usage,
response_id=None,
)
Expand Down
29 changes: 29 additions & 0 deletions src/agents/models/chatcmpl_converter.py
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Original file line number Diff line number Diff line change
Expand Up @@ -20,6 +20,7 @@
ChatCompletionUserMessageParam,
)
from openai.types.chat.chat_completion_tool_param import ChatCompletionToolParam
from openai.types.chat.chat_completion_message_tool_call import ChatCompletionMessageToolCall, Function
from openai.types.chat.completion_create_params import ResponseFormat
from openai.types.responses import (
EasyInputMessageParam,
Expand Down Expand Up @@ -81,6 +82,34 @@ def convert_response_format(
},
}

@classmethod
def output_items_to_message(cls, items: list[TResponseOutputItem] ) -> ChatCompletionMessage:
tool_calls: list[ChatCompletionMessageToolCall] | None = None
message = ChatCompletionMessage(role="assistant")

for item in items:
if isinstance(item, ResponseOutputMessage):
if isinstance(item.content, ResponseOutputText):
message.content = item.content.text
elif isinstance(item.content, ResponseOutputRefusal):
message.refusal = item.content.refusal
elif isinstance(item, ResponseFunctionToolCall):
if tool_calls is None:
tool_calls = []
tool_calls.append(
ChatCompletionMessageToolCall(
id=item.call_id,
type="function",
function=Function(
name=item.name,
arguments=item.arguments,
),
)
)

message.tool_calls = tool_calls
return message

@classmethod
def message_to_output_items(cls, message: ChatCompletionMessage) -> list[TResponseOutputItem]:
items: list[TResponseOutputItem] = []
Expand Down
24 changes: 14 additions & 10 deletions src/agents/models/openai_chatcompletions.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@

from openai import NOT_GIVEN, AsyncOpenAI, AsyncStream
from openai.types import ChatModel
from openai.types.chat import ChatCompletion, ChatCompletionChunk
from openai.types.chat import ChatCompletion, ChatCompletionChunk, ChatCompletionMessage
from openai.types.responses import Response

from .. import _debug
Expand Down Expand Up @@ -58,7 +58,7 @@ async def get_response(
model_config=model_settings.to_json_dict() | {"base_url": str(self._client.base_url)},
disabled=tracing.is_disabled(),
) as span_generation:
response = await self._fetch_response(
response, stream = await self._fetch_response(
system_instructions,
input,
model_settings,
Expand All @@ -67,37 +67,41 @@ async def get_response(
handoffs,
span_generation,
tracing,
stream=False,
stream=True,
)

async for chunk in ChatCmplStreamHandler.handle_stream(response, stream):
if chunk.type == "response.completed":
response = chunk.response

message = Converter.output_items_to_message(response.output)

if _debug.DONT_LOG_MODEL_DATA:
logger.debug("Received model response")
else:
logger.debug(
f"LLM resp:\n{json.dumps(response.choices[0].message.model_dump(), indent=2)}\n"
f"LLM resp:\n{json.dumps(message.model_dump(), indent=2)}\n"
)

usage = (
Usage(
requests=1,
input_tokens=response.usage.prompt_tokens,
output_tokens=response.usage.completion_tokens,
input_tokens=response.usage.input_tokens,
output_tokens=response.usage.output_tokens,
total_tokens=response.usage.total_tokens,
)
if response.usage
else Usage()
)
if tracing.include_data():
span_generation.span_data.output = [response.choices[0].message.model_dump()]
span_generation.span_data.output = [message.model_dump()]
span_generation.span_data.usage = {
"input_tokens": usage.input_tokens,
"output_tokens": usage.output_tokens,
}

items = Converter.message_to_output_items(response.choices[0].message)

return ModelResponse(
output=items,
output=response.output,
usage=usage,
response_id=None,
)
Expand Down