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