_acall() — langchain Function Reference

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

Function python AgentOrchestration ClassicChains calls 1

Entity Profile

AgentOrchestration→ ClassicChains→ _acall() — langchain Function Reference

Dependency Diagram

graph TD
  727420b4_69cd_b33e_fef6_19e037b0bff3["_acall()"]
  781ec1fc_a277_bc9a_9bc4_a35f09bdb247["LLMMathChain"]
  727420b4_69cd_b33e_fef6_19e037b0bff3 -->|defined in| 781ec1fc_a277_bc9a_9bc4_a35f09bdb247
  799fbded_d007_f93f_f09a_d6af8fab59c4["_aprocess_llm_result()"]
  727420b4_69cd_b33e_fef6_19e037b0bff3 -->|calls| 799fbded_d007_f93f_f09a_d6af8fab59c4
  style 727420b4_69cd_b33e_fef6_19e037b0bff3 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/chains/llm_math/base.py lines 282–294

    async def _acall(
        self,
        inputs: dict[str, str],
        run_manager: AsyncCallbackManagerForChainRun | None = None,
    ) -> dict[str, str]:
        _run_manager = run_manager or AsyncCallbackManagerForChainRun.get_noop_manager()
        await _run_manager.on_text(inputs[self.input_key])
        llm_output = await self.llm_chain.apredict(
            question=inputs[self.input_key],
            stop=["```output"],
            callbacks=_run_manager.get_child(),
        )
        return await self._aprocess_llm_result(llm_output, _run_manager)