_acall() — langchain Function Reference

Architecture documentation for the _acall() function in trajectory_eval_chain.py from the langchain codebase.

Function python LangChainCore MessageInterface calls 1

Entity Profile

LangChainCore→ MessageInterface→ _acall() — langchain Function Reference

Dependency Diagram

graph TD
  bb74900d_feda_ef5a_51a9_181534374461["_acall()"]
  9066f65c_c5a3_1534_5336_72609f4ff02b["TrajectoryEvalChain"]
  bb74900d_feda_ef5a_51a9_181534374461 -->|defined in| 9066f65c_c5a3_1534_5336_72609f4ff02b
  8614258b_8a81_eb94_7789_5188d33b6103["parse()"]
  bb74900d_feda_ef5a_51a9_181534374461 -->|calls| 8614258b_8a81_eb94_7789_5188d33b6103
  style bb74900d_feda_ef5a_51a9_181534374461 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/evaluation/agents/trajectory_eval_chain.py lines 304–326

    async def _acall(
        self,
        inputs: dict[str, str],
        run_manager: AsyncCallbackManagerForChainRun | None = None,
    ) -> dict[str, Any]:
        """Run the chain and generate the output.

        Args:
            inputs: The input values for the chain.
            run_manager: The callback manager for the chain run.

        Returns:
            The output values of the chain.
        """
        chain_input = {**inputs}
        if self.agent_tools:
            chain_input["tool_descriptions"] = self._tools_description
        _run_manager = run_manager or AsyncCallbackManagerForChainRun.get_noop_manager()
        raw_output = await self.eval_chain.arun(
            chain_input,
            callbacks=_run_manager.get_child(),
        )
        return cast("dict", self.output_parser.parse(raw_output))