chore: [openai] bump sdk (#31958)

libs/partners/openai/langchain_openai/chat_models/_compat.py

@@ -16,7 +16,11 @@ ChatOpenAI v0.3 stores reasoning and tool outputs in AIMessage.additional_kwargs
                 "summary": [{"type": "summary_text", "text": "Reasoning summary"}],
             },
             "tool_outputs": [
-                {"type": "web_search_call", "id": "websearch_123", "status": "completed"}
+                {
+                    "type": "web_search_call",
+                    "id": "websearch_123",
+                    "status": "completed",
+                }
             ],
             "refusal": "I cannot assist with that.",
         },

libs/partners/openai/langchain_openai/chat_models/azure.py

@@ -138,7 +138,11 @@ class AzureChatOpenAI(BaseChatOpenAI):
 
             AIMessage(
                 content="J'adore programmer.",
-                usage_metadata={"input_tokens": 28, "output_tokens": 6, "total_tokens": 34},
+                usage_metadata={
+                    "input_tokens": 28,
+                    "output_tokens": 6,
+                    "total_tokens": 34,
+                },
                 response_metadata={
                     "token_usage": {
                         "completion_tokens": 6,
@@ -184,8 +188,12 @@ class AzureChatOpenAI(BaseChatOpenAI):
             AIMessageChunk(content="ad", id="run-a6f294d3-0700-4f6a-abc2-c6ef1178c37f")
             AIMessageChunk(content="ore", id="run-a6f294d3-0700-4f6a-abc2-c6ef1178c37f")
             AIMessageChunk(content=" la", id="run-a6f294d3-0700-4f6a-abc2-c6ef1178c37f")
-            AIMessageChunk(content=" programm", id="run-a6f294d3-0700-4f6a-abc2-c6ef1178c37f")
+            AIMessageChunk(
-            AIMessageChunk(content="ation", id="run-a6f294d3-0700-4f6a-abc2-c6ef1178c37f")
+                content=" programm", id="run-a6f294d3-0700-4f6a-abc2-c6ef1178c37f"
+            )
+            AIMessageChunk(
+                content="ation", id="run-a6f294d3-0700-4f6a-abc2-c6ef1178c37f"
+            )
             AIMessageChunk(content=".", id="run-a6f294d3-0700-4f6a-abc2-c6ef1178c37f")
             AIMessageChunk(
                 content="",
@@ -294,7 +302,9 @@ class AzureChatOpenAI(BaseChatOpenAI):
 
                 setup: str = Field(description="The setup of the joke")
                 punchline: str = Field(description="The punchline to the joke")
-                rating: Optional[int] = Field(description="How funny the joke is, from 1 to 10")
+                rating: Optional[int] = Field(
+                    description="How funny the joke is, from 1 to 10"
+                )
 
 
             structured_llm = llm.with_structured_output(Joke)
@@ -930,7 +940,9 @@ class AzureChatOpenAI(BaseChatOpenAI):
                     )
 
 
-                llm = AzureChatOpenAI(azure_deployment="...", model="gpt-4o", temperature=0)
+                llm = AzureChatOpenAI(
+                    azure_deployment="...", model="gpt-4o", temperature=0
+                )
                 structured_llm = llm.with_structured_output(AnswerWithJustification)
 
                 structured_llm.invoke(
@@ -961,7 +973,9 @@ class AzureChatOpenAI(BaseChatOpenAI):
                     )
 
 
-                llm = AzureChatOpenAI(azure_deployment="...", model="gpt-4o", temperature=0)
+                llm = AzureChatOpenAI(
+                    azure_deployment="...", model="gpt-4o", temperature=0
+                )
                 structured_llm = llm.with_structured_output(
                     AnswerWithJustification, method="function_calling"
                 )
@@ -990,7 +1004,9 @@ class AzureChatOpenAI(BaseChatOpenAI):
                     justification: str
 
 
-                llm = AzureChatOpenAI(azure_deployment="...", model="gpt-4o", temperature=0)
+                llm = AzureChatOpenAI(
+                    azure_deployment="...", model="gpt-4o", temperature=0
+                )
                 structured_llm = llm.with_structured_output(
                     AnswerWithJustification, include_raw=True
                 )
@@ -1022,7 +1038,9 @@ class AzureChatOpenAI(BaseChatOpenAI):
                     ]
 
 
-                llm = AzureChatOpenAI(azure_deployment="...", model="gpt-4o", temperature=0)
+                llm = AzureChatOpenAI(
+                    azure_deployment="...", model="gpt-4o", temperature=0
+                )
                 structured_llm = llm.with_structured_output(AnswerWithJustification)
 
                 structured_llm.invoke(

libs/partners/openai/langchain_openai/chat_models/base.py

@@ -2126,7 +2126,9 @@ class ChatOpenAI(BaseChatOpenAI):  # type: ignore[override]
 
             AIMessageChunk(content="", id="run-9e1517e3-12bf-48f2-bb1b-2e824f7cd7b0")
             AIMessageChunk(content="J", id="run-9e1517e3-12bf-48f2-bb1b-2e824f7cd7b0")
-            AIMessageChunk(content="'adore", id="run-9e1517e3-12bf-48f2-bb1b-2e824f7cd7b0")
+            AIMessageChunk(
+                content="'adore", id="run-9e1517e3-12bf-48f2-bb1b-2e824f7cd7b0"
+            )
             AIMessageChunk(content=" la", id="run-9e1517e3-12bf-48f2-bb1b-2e824f7cd7b0")
             AIMessageChunk(
                 content=" programmation", id="run-9e1517e3-12bf-48f2-bb1b-2e824f7cd7b0"
@@ -2182,7 +2184,11 @@ class ChatOpenAI(BaseChatOpenAI):  # type: ignore[override]
                     "logprobs": None,
                 },
                 id="run-012cffe2-5d3d-424d-83b5-51c6d4a593d1-0",
-                usage_metadata={"input_tokens": 31, "output_tokens": 5, "total_tokens": 36},
+                usage_metadata={
+                    "input_tokens": 31,
+                    "output_tokens": 5,
+                    "total_tokens": 36,
+                },
             )
 
     .. dropdown:: Tool calling
@@ -2299,7 +2305,9 @@ class ChatOpenAI(BaseChatOpenAI):  # type: ignore[override]
             tool = {"type": "web_search_preview"}
             llm_with_tools = llm.bind_tools([tool])
 
-            response = llm_with_tools.invoke("What was a positive news story from today?")
+            response = llm_with_tools.invoke(
+                "What was a positive news story from today?"
+            )
             response.content
 
         .. code-block:: python
@@ -2346,7 +2354,8 @@ class ChatOpenAI(BaseChatOpenAI):  # type: ignore[override]
         .. code-block:: python
 
             second_response = llm.invoke(
-                "What is my name?", previous_response_id=response.response_metadata["id"]
+                "What is my name?",
+                previous_response_id=response.response_metadata["id"],
             )
             second_response.text()
 
@@ -2424,7 +2433,9 @@ class ChatOpenAI(BaseChatOpenAI):  # type: ignore[override]
 
                 setup: str = Field(description="The setup of the joke")
                 punchline: str = Field(description="The punchline to the joke")
-                rating: Optional[int] = Field(description="How funny the joke is, from 1 to 10")
+                rating: Optional[int] = Field(
+                    description="How funny the joke is, from 1 to 10"
+                )
 
 
             structured_llm = llm.with_structured_output(Joke)

libs/partners/openai/pyproject.toml

@@ -65,7 +65,7 @@ target-version = "py39"
 
 [tool.ruff.lint]
 select = ["E", "F", "I", "T201", "UP", "S"]
-ignore = [ "UP007", ]
+ignore = [ "UP007", "UP045" ]
 
 [tool.ruff.format]
 docstring-code-format = true