Method from_function

src/tools/base.py:307–374

Create tool from a given function. A classmethod that helps to create a tool from a function. Args: func: The function from which to create a tool coroutine: The async function from which to create a tool name: The name of the tool. Defaults to t

(
        cls,
        func: Optional[Callable] = None,
        coroutine: Optional[Callable[..., Awaitable[Any]]] = None,
        name: Optional[str] = None,
        description: Optional[str] = None,
        return_direct: bool = False,
        args_schema: Optional[Type[BaseModel]] = None,
        infer_schema: bool = True,
        **kwargs: Any,
    )

    @classmethod
    def from_function(
        cls,
        func: Optional[Callable] = None,
        coroutine: Optional[Callable[..., Awaitable[Any]]] = None,
        name: Optional[str] = None,
        description: Optional[str] = None,
        return_direct: bool = False,
        args_schema: Optional[Type[BaseModel]] = None,
        infer_schema: bool = True,
        **kwargs: Any,
    ) -> StructuredTool:
        """Create tool from a given function.

        A classmethod that helps to create a tool from a function.

        Args:
            func: The function from which to create a tool
            coroutine: The async function from which to create a tool
            name: The name of the tool. Defaults to the function name
            description: The description of the tool. Defaults to the function docstring
            return_direct: Whether to return the result directly or as a callback
            args_schema: The schema of the tool's input arguments
            infer_schema: Whether to infer the schema from the function's signature
            **kwargs: Additional arguments to pass to the tool

        Returns:
            The tool

        Examples:

            .. code-block:: python

                def add(a: int, b: int) -> int:
                    \"\"\"Add two numbers\"\"\"
                    return a + b
                tool = StructuredTool.from_function(add)
                tool.run(1, 2) # 3
        """

        if func is not None:
            source_function = func
        elif coroutine is not None:
            source_function = coroutine
        else:
            raise ValueError("Function and/or coroutine must be provided")
        name = name or source_function.__name__
        description = description or source_function.__doc__
        if description is None:
            raise ValueError(
                "Function must have a docstring if description not provided."
            )

        # Description example:
        # search_api(query: str) - Searches the API for the query.
        sig = signature(source_function)
        description = f"{name}{sig} - {description.strip()}"
        _args_schema = args_schema
        if _args_schema is None and infer_schema: