apply() — langchain Function Reference

Architecture documentation for the apply() function in llm.py from the langchain codebase.

Function python AgentOrchestration ClassicChains calls 2 called by 1

Entity Profile

AgentOrchestration→ ClassicChains→ apply() — langchain Function Reference

Dependency Diagram

graph TD
  be1cf4da_b223_486d_abea_864bf732bbc6["apply()"]
  ccf50fe1_4990_cf19_1e2d_25efe83f53c5["LLMChain"]
  be1cf4da_b223_486d_abea_864bf732bbc6 -->|defined in| ccf50fe1_4990_cf19_1e2d_25efe83f53c5
  f8ca5dfd_cddf_f131_0f5b_583f692271a4["apply_and_parse()"]
  f8ca5dfd_cddf_f131_0f5b_583f692271a4 -->|calls| be1cf4da_b223_486d_abea_864bf732bbc6
  377cb47d_aeea_738a_00c1_527af33d920e["generate()"]
  be1cf4da_b223_486d_abea_864bf732bbc6 -->|calls| 377cb47d_aeea_738a_00c1_527af33d920e
  18717271_ee47_6d4a_ccbd_dc7577e19985["create_outputs()"]
  be1cf4da_b223_486d_abea_864bf732bbc6 -->|calls| 18717271_ee47_6d4a_ccbd_dc7577e19985
  style be1cf4da_b223_486d_abea_864bf732bbc6 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/chains/llm.py lines 224–247

    def apply(
        self,
        input_list: list[dict[str, Any]],
        callbacks: Callbacks = None,
    ) -> list[dict[str, str]]:
        """Utilize the LLM generate method for speed gains."""
        callback_manager = CallbackManager.configure(
            callbacks,
            self.callbacks,
            self.verbose,
        )
        run_manager = callback_manager.on_chain_start(
            None,
            {"input_list": input_list},
            name=self.get_name(),
        )
        try:
            response = self.generate(input_list, run_manager=run_manager)
        except BaseException as e:
            run_manager.on_chain_error(e)
            raise
        outputs = self.create_outputs(response)
        run_manager.on_chain_end({"outputs": outputs})
        return outputs