openai[patch]: pass through with_structured_output kwargs (#31518)

Support 
```python
from langchain.chat_models import init_chat_model
from pydantic import BaseModel


class ResponseSchema(BaseModel):
    response: str


def get_weather(location: str) -> str:
    """Get weather"""
    pass

llm = init_chat_model("openai:gpt-4o-mini")

structured_llm = llm.with_structured_output(
    ResponseSchema,
    tools=[get_weather],
    strict=True,
    include_raw=True,
    tool_choice="required",
    parallel_tool_calls=False,
)

structured_llm.invoke("whats up?")
```

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

@@ -854,7 +854,7 @@ class AzureChatOpenAI(BaseChatOpenAI):
                             "parsed": None,
                         }
 
-            kwargs: Additional keyword args aren't supported.
+            kwargs: Additional keyword args are passed through to the model.
 
         Returns:
             A Runnable that takes same inputs as a :class:`langchain_core.language_models.chat.BaseChatModel`.
@@ -880,6 +880,12 @@ class AzureChatOpenAI(BaseChatOpenAI):
 
             ``method`` default changed from "function_calling" to "json_schema".
 
+        .. versionchanged:: 0.3.12
+            Support for ``tools`` added.
+
+        .. versionchanged:: 0.3.21
+            Pass ``kwargs`` through to the model.
+
         .. dropdown:: Example: schema=Pydantic class, method="json_schema", include_raw=False, strict=True
 
             Note, OpenAI has a number of restrictions on what types of schemas can be

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

@@ -1631,7 +1631,7 @@ class BaseChatOpenAI(BaseChatModel):
                             "parsed": None,
                         }
 
-            kwargs: Additional keyword args aren't supported.
+            kwargs: Additional keyword args are passed through to the model.
 
         Returns:
             A Runnable that takes same inputs as a :class:`langchain_core.language_models.chat.BaseChatModel`.
@@ -1655,9 +1655,10 @@ class BaseChatOpenAI(BaseChatModel):
 
         .. versionchanged:: 0.3.12
             Support for ``tools`` added.
+
+        .. versionchanged:: 0.3.21
+            Pass ``kwargs`` through to the model.
         """  # noqa: E501
-        if kwargs:
-            raise ValueError(f"Received unsupported arguments {kwargs}")
         if strict is not None and method == "json_mode":
             raise ValueError(
                 "Argument `strict` is not supported with `method`='json_mode'"
@@ -1700,6 +1701,8 @@ class BaseChatOpenAI(BaseChatModel):
                 )
             tool_name = convert_to_openai_tool(schema)["function"]["name"]
             bind_kwargs = self._filter_disabled_params(
+                **{
+                    **dict(
                         tool_choice=tool_name,
                         parallel_tool_calls=False,
                         strict=strict,
@@ -1707,6 +1710,9 @@ class BaseChatOpenAI(BaseChatModel):
                             "kwargs": {"method": method, "strict": strict},
                             "schema": schema,
                         },
+                    ),
+                    **kwargs,
+                }
             )
 
             llm = self.bind_tools([schema], **bind_kwargs)
@@ -1721,11 +1727,16 @@ class BaseChatOpenAI(BaseChatModel):
                 )
         elif method == "json_mode":
             llm = self.bind(
+                **{
+                    **dict(
                         response_format={"type": "json_object"},
                         ls_structured_output_format={
                             "kwargs": {"method": method},
                             "schema": schema,
                         },
+                    ),
+                    **kwargs,
+                }
             )
             output_parser = (
                 PydanticOutputParser(pydantic_object=schema)  # type: ignore[arg-type]
@@ -1739,13 +1750,16 @@ class BaseChatOpenAI(BaseChatModel):
                     "Received None."
                 )
             response_format = _convert_to_openai_response_format(schema, strict=strict)
-            bind_kwargs = dict(
+            bind_kwargs = {
+                **dict(
                     response_format=response_format,
                     ls_structured_output_format={
                         "kwargs": {"method": method, "strict": strict},
                         "schema": convert_to_openai_tool(schema),
                     },
+                    **kwargs,
                 )
+            }
             if tools:
                 bind_kwargs["tools"] = [
                     convert_to_openai_tool(t, strict=strict) for t in tools
@@ -2597,7 +2611,7 @@ class ChatOpenAI(BaseChatOpenAI):  # type: ignore[override]
                             "parsed": None,
                         }
 
-            kwargs: Additional keyword args aren't supported.
+            kwargs: Additional keyword args are passed through to the model.
 
         Returns:
             A Runnable that takes same inputs as a :class:`langchain_core.language_models.chat.BaseChatModel`.
@@ -2623,6 +2637,12 @@ class ChatOpenAI(BaseChatOpenAI):  # type: ignore[override]
 
             ``method`` default changed from "function_calling" to "json_schema".
 
+        .. versionchanged:: 0.3.12
+            Support for ``tools`` added.
+
+        .. versionchanged:: 0.3.21
+            Pass ``kwargs`` through to the model.
+
         .. dropdown:: Example: schema=Pydantic class, method="json_schema", include_raw=False, strict=True
 
             Note, OpenAI has a number of restrictions on what types of schemas can be