from_llm() — langchain Function Reference

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

Function python LangChainCore MessageInterface calls 2

Entity Profile

LangChainCore→ MessageInterface→ from_llm() — langchain Function Reference

Dependency Diagram

graph TD
  80297720_85ce_00c4_c038_befbdc6c8ea0["from_llm()"]
  8092ea8a_fc95_f2f7_c8e2_4595bb9d5b9e["CotQAEvalChain"]
  80297720_85ce_00c4_c038_befbdc6c8ea0 -->|defined in| 8092ea8a_fc95_f2f7_c8e2_4595bb9d5b9e
  5e40a8d3_ac36_a29a_8969_75ee97f0c328["_validate_input_vars()"]
  80297720_85ce_00c4_c038_befbdc6c8ea0 -->|calls| 5e40a8d3_ac36_a29a_8969_75ee97f0c328
  a3155b02_dbf2_ea43_042a_2d3c1404bdeb["from_llm()"]
  80297720_85ce_00c4_c038_befbdc6c8ea0 -->|calls| a3155b02_dbf2_ea43_042a_2d3c1404bdeb
  style 80297720_85ce_00c4_c038_befbdc6c8ea0 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/evaluation/qa/eval_chain.py lines 364–373

    def from_llm(
        cls,
        llm: BaseLanguageModel,
        prompt: PromptTemplate | None = None,
        **kwargs: Any,
    ) -> CotQAEvalChain:
        """Load QA Eval Chain from LLM."""
        prompt = prompt or COT_PROMPT
        cls._validate_input_vars(prompt)
        return cls(llm=llm, prompt=prompt, **kwargs)