from_llm() — langchain Function Reference

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

Function python AgentOrchestration ClassicChains

Entity Profile

AgentOrchestration→ ClassicChains→ from_llm() — langchain Function Reference

Dependency Diagram

graph TD
  610e495a_2355_f81c_2c3f_0bfb090f206d["from_llm()"]
  2ce04a9b_5637_00e2_15a2_00f9ad51f684["QAGenerationChain"]
  610e495a_2355_f81c_2c3f_0bfb090f206d -->|defined in| 2ce04a9b_5637_00e2_15a2_00f9ad51f684
  style 610e495a_2355_f81c_2c3f_0bfb090f206d fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/chains/qa_generation/base.py lines 82–100

    def from_llm(
        cls,
        llm: BaseLanguageModel,
        prompt: BasePromptTemplate | None = None,
        **kwargs: Any,
    ) -> QAGenerationChain:
        """Create a QAGenerationChain from a language model.

        Args:
            llm: a language model
            prompt: a prompt template
            **kwargs: additional arguments

        Returns:
            a QAGenerationChain class
        """
        _prompt = prompt or PROMPT_SELECTOR.get_prompt(llm)
        chain = LLMChain(llm=llm, prompt=_prompt)
        return cls(llm_chain=chain, **kwargs)