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openai[patch]: propagate service_tier to response metadata (#31089)

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ccurme 2025-05-01 13:50:48 -04:00 committed by GitHub
parent 6110c3ffc5
commit c51eadd54f
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3 changed files with 10 additions and 2 deletions
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5
libs/partners/openai/langchain_openai/chat_models/base.py
View File

@ -736,6 +736,8 @@ class BaseChatOpenAI(BaseChatModel):
generation_info["model_name"] = model_name
if system_fingerprint := chunk.get("system_fingerprint"):
generation_info["system_fingerprint"] = system_fingerprint
if service_tier := chunk.get("service_tier"):
generation_info["service_tier"] = service_tier
logprobs = choice.get("logprobs")
if logprobs:
@ -1020,6 +1022,8 @@ class BaseChatOpenAI(BaseChatModel):
}
if "id" in response_dict:
llm_output["id"] = response_dict["id"]
if "service_tier" in response_dict:
llm_output["service_tier"] = response_dict["service_tier"]
if isinstance(response, openai.BaseModel) and getattr(
response, "choices", None
@ -3243,6 +3247,7 @@ def _construct_lc_result_from_responses_api(
"status",
"user",
"model",
"service_tier",
)
}
if metadata:

6
libs/partners/openai/tests/integration_tests/chat_models/test_base.py
View File

@ -350,6 +350,7 @@ def test_response_metadata() -> None:
"logprobs",
"system_fingerprint",
"finish_reason",
"service_tier",
)
)
assert "content" in result.response_metadata["logprobs"]
@ -367,6 +368,7 @@ async def test_async_response_metadata() -> None:
"logprobs",
"system_fingerprint",
"finish_reason",
"service_tier",
)
)
assert "content" in result.response_metadata["logprobs"]
@ -380,7 +382,7 @@ def test_response_metadata_streaming() -> None:
full = chunk if full is None else full + chunk
assert all(
k in cast(BaseMessageChunk, full).response_metadata
for k in ("logprobs", "finish_reason")
for k in ("logprobs", "finish_reason", "service_tier")
)
assert "content" in cast(BaseMessageChunk, full).response_metadata["logprobs"]
@ -393,7 +395,7 @@ async def test_async_response_metadata_streaming() -> None:
full = chunk if full is None else full + chunk
assert all(
k in cast(BaseMessageChunk, full).response_metadata
for k in ("logprobs", "finish_reason")
for k in ("logprobs", "finish_reason", "service_tier")
)
assert "content" in cast(BaseMessageChunk, full).response_metadata["logprobs"]

1
libs/partners/openai/tests/integration_tests/chat_models/test_responses_api.py
View File

@ -47,6 +47,7 @@ def _check_response(response: Optional[BaseMessage]) -> None:
assert response.usage_metadata["output_tokens"] > 0
assert response.usage_metadata["total_tokens"] > 0
assert response.response_metadata["model_name"]
assert response.response_metadata["service_tier"]
for tool_output in response.additional_kwargs["tool_outputs"]:
assert tool_output["id"]
assert tool_output["status"]