_prepare_output() — langchain Function Reference

Architecture documentation for the _prepare_output() function in string_run_evaluator.py from the langchain codebase.

Function python LangChainCore MessageInterface called by 2

Entity Profile

LangChainCore→ MessageInterface→ _prepare_output() — langchain Function Reference

Dependency Diagram

graph TD
  463340b6_4fd0_8a0a_5cee_c0ea5a3163a4["_prepare_output()"]
  96e174c1_4107_a88b_8d98_3f22e5d7fb20["StringRunEvaluatorChain"]
  463340b6_4fd0_8a0a_5cee_c0ea5a3163a4 -->|defined in| 96e174c1_4107_a88b_8d98_3f22e5d7fb20
  d3515eaf_6765_8d34_0615_40c3ff4f20d0["_call()"]
  d3515eaf_6765_8d34_0615_40c3ff4f20d0 -->|calls| 463340b6_4fd0_8a0a_5cee_c0ea5a3163a4
  45efc57d_2b9e_96a6_a608_68913f941b40["_acall()"]
  45efc57d_2b9e_96a6_a608_68913f941b40 -->|calls| 463340b6_4fd0_8a0a_5cee_c0ea5a3163a4
  style 463340b6_4fd0_8a0a_5cee_c0ea5a3163a4 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/smith/evaluation/string_run_evaluator.py lines 316–325

    def _prepare_output(self, output: dict[str, Any]) -> dict[str, Any]:
        evaluation_result = EvaluationResult(
            key=self.name,
            comment=output.get("reasoning"),
            **output,
        )
        if RUN_KEY in output:
            # TODO: Not currently surfaced. Update
            evaluation_result.evaluator_info[RUN_KEY] = output[RUN_KEY]
        return {"feedback": evaluation_result}