_validate_input_vars() — langchain Function Reference

Architecture documentation for the _validate_input_vars() function in eval_chain.py from the langchain codebase.

Function python LangChainCore MessageInterface called by 2

Entity Profile

LangChainCore→ MessageInterface→ _validate_input_vars() — langchain Function Reference

Dependency Diagram

graph TD
  5e40a8d3_ac36_a29a_8969_75ee97f0c328["_validate_input_vars()"]
  6b783916_2e41_8d2a_dba2_81813096b7c4["ContextQAEvalChain"]
  5e40a8d3_ac36_a29a_8969_75ee97f0c328 -->|defined in| 6b783916_2e41_8d2a_dba2_81813096b7c4
  909f249d_6333_28c0_ed05_2bfa8676c170["from_llm()"]
  909f249d_6333_28c0_ed05_2bfa8676c170 -->|calls| 5e40a8d3_ac36_a29a_8969_75ee97f0c328
  80297720_85ce_00c4_c038_befbdc6c8ea0["from_llm()"]
  80297720_85ce_00c4_c038_befbdc6c8ea0 -->|calls| 5e40a8d3_ac36_a29a_8969_75ee97f0c328
  style 5e40a8d3_ac36_a29a_8969_75ee97f0c328 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/evaluation/qa/eval_chain.py lines 242–249

    def _validate_input_vars(cls, prompt: PromptTemplate) -> None:
        expected_input_vars = {"query", "context", "result"}
        if expected_input_vars != set(prompt.input_variables):
            msg = (
                f"Input variables should be {expected_input_vars}, "
                f"but got {prompt.input_variables}"
            )
            raise ValueError(msg)