def query_engine_creator():
	query_engine_tool = QueryEngineTool.from_defaults(
        query_engine=query_engine,
        name="query_tool",
        description=(
            "Useful for questions needing context from the documents. input is a natural language question."
        ),
    )

    return query_engine_tool.to_langchain_tool()


assistant = OpenAIAssistantRunnable.create_assistant(
	name = "Math Tutor",
    instructions = instructions3,
    tools = tools,
    model = "gpt-4-1106-preview",
)

Traceback (most recent call last):
  File "D:\Documendz\code-python\LLM chat app\create_assistant.py", line 102, in <module>
    asyncio.run(create())
  File "C:\Python310\lib\asyncio\runners.py", line 44, in run
    return loop.run_until_complete(main)
  File "C:\Python310\lib\asyncio\base_events.py", line 641, in run_until_complete
    return future.result()
  File "D:\Documendz\code-python\LLM chat app\create_assistant.py", line 83, in create
    assistant = OpenAIAssistantRunnable.create_assistant(
  File "D:\Documendz\code-python\LLM chat app\aienv\lib\site-packages\langchain\agents\openai_assistant\base.py", line 178, in create_assistant
    tool if isinstance(tool, dict) else format_tool_to_openai_tool(tool)
  File "D:\Documendz\code-python\LLM chat app\aienv\lib\site-packages\langchain\tools\render.py", line 75, in format_tool_to_openai_tool
    function = format_tool_to_openai_function(tool)
  File "D:\Documendz\code-python\LLM chat app\aienv\lib\site-packages\langchain\tools\render.py", line 50, in format_tool_to_openai_function
    if tool.args_schema:
AttributeError: 'coroutine' object has no attribute 'args_schema'


def to_langchain_tool(
        self,
        **langchain_tool_kwargs: Any,
    ) -> "Tool":
        """To langchain tool."""
        from llama_index.bridge.langchain import Tool

        langchain_tool_kwargs = self._process_langchain_tool_kwargs(
            langchain_tool_kwargs
        )
        return Tool.from_function(
            func=self.__call__,
            **langchain_tool_kwargs,
        )

(method) def from_function(
    func: ((...) -> Any) | None,
    name: str,
    description: str,
    return_direct: bool = False,
    args_schema: type[BaseModel] | None = None,
    coroutine: ((...) -> Awaitable[Any]) | None = None,
    **kwargs: Any
) -> Tool