Home / Function/ _run() — langchain Function Reference

_run() — langchain Function Reference

Architecture documentation for the _run() function in tools.py from the langchain codebase.

Entity Profile

Dependency Diagram

graph TD
  81bd1f24_1f9c_4cb6_2375_b9af5a8ac743["_run()"]
  d1e8793e_5d15_3b9c_4b0e_5c32c9855886["InvalidTool"]
  81bd1f24_1f9c_4cb6_2375_b9af5a8ac743 -->|defined in| d1e8793e_5d15_3b9c_4b0e_5c32c9855886
  style 81bd1f24_1f9c_4cb6_2375_b9af5a8ac743 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/agents/tools.py lines 20–31

    def _run(
        self,
        requested_tool_name: str,
        available_tool_names: list[str],
        run_manager: CallbackManagerForToolRun | None = None,
    ) -> str:
        """Use the tool."""
        available_tool_names_str = ", ".join(list(available_tool_names))
        return (
            f"{requested_tool_name} is not a valid tool, "
            f"try one of [{available_tool_names_str}]."
        )

Subdomains

Frequently Asked Questions

What does _run() do?
_run() is a function in the langchain codebase, defined in libs/langchain/langchain_classic/agents/tools.py.
Where is _run() defined?
_run() is defined in libs/langchain/langchain_classic/agents/tools.py at line 20.

Analyze Your Own Codebase

Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.

Try Supermodel Free