make_final_outputs() — langchain Function Reference

Architecture documentation for the make_final_outputs() function in agent_iterator.py from the langchain codebase.

Function python AgentOrchestration ActionLogic called by 2

Entity Profile

AgentOrchestration→ ActionLogic→ make_final_outputs() — langchain Function Reference

Dependency Diagram

graph TD
  b619821e_4fac_7e42_a6d5_e63b54816851["make_final_outputs()"]
  490b6bce_9d4c_017c_89ae_b13ea74223ea["AgentExecutorIterator"]
  b619821e_4fac_7e42_a6d5_e63b54816851 -->|defined in| 490b6bce_9d4c_017c_89ae_b13ea74223ea
  4d87dde3_a32d_10d0_6e36_d6572758987b["_return()"]
  4d87dde3_a32d_10d0_6e36_d6572758987b -->|calls| b619821e_4fac_7e42_a6d5_e63b54816851
  0a3774fd_ebe1_abde_5275_25554914ae62["_areturn()"]
  0a3774fd_ebe1_abde_5275_25554914ae62 -->|calls| b619821e_4fac_7e42_a6d5_e63b54816851
  style b619821e_4fac_7e42_a6d5_e63b54816851 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/agents/agent_iterator.py lines 148–171

    def make_final_outputs(
        self,
        outputs: dict[str, Any],
        run_manager: CallbackManagerForChainRun | AsyncCallbackManagerForChainRun,
    ) -> AddableDict:
        """Make final outputs for the iterator.

        Args:
            outputs: The outputs from the agent executor.
            run_manager: The run manager to use for callbacks.
        """
        # have access to intermediate steps by design in iterator,
        # so return only outputs may as well always be true.

        prepared_outputs = AddableDict(
            self.agent_executor.prep_outputs(
                self.inputs,
                outputs,
                return_only_outputs=True,
            ),
        )
        if self.include_run_info:
            prepared_outputs[RUN_KEY] = RunInfo(run_id=run_manager.run_id)
        return prepared_outputs