fix(fireworks): bind_tools(strict: bool) and reasoning_content (#34343)

Extract strict from kwargs and pass it to convert_to_openai_tool when
converting tools. This ensures that when strict is provided, it's
properly used during tool conversion and removed from kwargs before
calling the parent bind method.

Also extract reasoning_content from API responses and store it in
additional_kwargs for AIMessage objects.

Fixes https://github.com/langchain-ai/langchain/issues/34341 and
https://github.com/langchain-ai/langchain/issues/34342

---------

Co-authored-by: Mason Daugherty <mason@langchain.dev>

libs/partners/fireworks/langchain_fireworks/chat_models.py

@@ -114,8 +114,12 @@ def _convert_dict_to_message(_dict: Mapping[str, Any]) -> BaseMessage:
         # Also Fireworks returns None for tool invocations
         content = _dict.get("content", "") or ""
         additional_kwargs: dict = {}
+        if reasoning_content := _dict.get("reasoning_content"):
+            additional_kwargs["reasoning_content"] = reasoning_content
+
         if function_call := _dict.get("function_call"):
             additional_kwargs["function_call"] = dict(function_call)
+
         tool_calls = []
         invalid_tool_calls = []
         if raw_tool_calls := _dict.get("tool_calls"):
@@ -678,7 +682,10 @@ class ChatFireworks(BaseChatModel):
             **kwargs: Any additional parameters to pass to
                 `langchain_fireworks.chat_models.ChatFireworks.bind`
         """  # noqa: E501
-        formatted_tools = [convert_to_openai_tool(tool) for tool in tools]
+        strict = kwargs.pop("strict", None)
+        formatted_tools = [
+            convert_to_openai_tool(tool, strict=strict) for tool in tools
+        ]
         if tool_choice is not None and tool_choice:
             if isinstance(tool_choice, str) and (
                 tool_choice not in ("auto", "any", "none")