_run() — langchain Function Reference

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

Function python AgentOrchestration ToolInterface

Entity Profile

AgentOrchestration→ ToolInterface→ _run() — langchain Function Reference

Dependency Diagram

graph TD
  f74917ca_a6e2_3af4_6178_214f9a94ab09["_run()"]
  407227bd_4438_df24_1266_6521d5fea74a["StructuredTool"]
  f74917ca_a6e2_3af4_6178_214f9a94ab09 -->|defined in| 407227bd_4438_df24_1266_6521d5fea74a
  style f74917ca_a6e2_3af4_6178_214f9a94ab09 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/langchain_core/tools/structured.py lines 74–99

    def _run(
        self,
        *args: Any,
        config: RunnableConfig,
        run_manager: CallbackManagerForToolRun | None = None,
        **kwargs: Any,
    ) -> Any:
        """Use the tool.

        Args:
            *args: Positional arguments to pass to the tool
            config: Configuration for the run
            run_manager: Optional callback manager to use for the run
            **kwargs: Keyword arguments to pass to the tool

        Returns:
            The result of the tool execution
        """
        if self.func:
            if run_manager and signature(self.func).parameters.get("callbacks"):
                kwargs["callbacks"] = run_manager.get_child()
            if config_param := _get_runnable_config_param(self.func):
                kwargs[config_param] = config
            return self.func(*args, **kwargs)
        msg = "StructuredTool does not support sync invocation."
        raise NotImplementedError(msg)