Toggle Menu
Prev Up Next

# Source code for langchain_community.tools.human.tool

    """Tool for asking human input."""

    from typing import Callable, Optional

    from langchain_core.callbacks import CallbackManagerForToolRun
    from langchain_core.pydantic_v1 import Field
    from langchain_core.tools import BaseTool

    def _print_func(text: str) -> None:
        print("\n")  # noqa: T201
        print(text)  # noqa: T201

    class HumanInputRun(BaseTool):
        """Tool that asks user for input."""

        name: str = "human"
        description: str = (
            "You can ask a human for guidance when you think you "
            "got stuck or you are not sure what to do next. "
            "The input should be a question for the human."
        )
        prompt_func: Callable[[str], None] = Field(default_factory=lambda: _print_func)
        input_func: Callable = Field(default_factory=lambda: input)

        def _run(
            self,
            query: str,
            run_manager: Optional[CallbackManagerForToolRun] = None,
        ) -> str:
            """Use the Human input tool."""
            self.prompt_func(query)
            return self.input_func()