LangChain Reference home pageLangChain ReferenceLangChain Reference
  • GitHub
  • Main Docs
Deep Agents
LangChain
LangGraph
Integrations
LangSmith
  • Overview
  • MCP Adapters
    • Overview
    • Agents
    • Callbacks
    • Chains
    • Chat models
    • Embeddings
    • Evaluation
    • Globals
    • Hub
    • Memory
    • Output parsers
    • Retrievers
    • Runnables
    • LangSmith
    • Storage
    Standard Tests
    Text Splitters
    ⌘I

    LangChain Assistant

    Ask a question to get started

    Enter to send•Shift+Enter new line

    Menu

    MCP Adapters
    OverviewAgentsCallbacksChainsChat modelsEmbeddingsEvaluationGlobalsHubMemoryOutput parsersRetrieversRunnablesLangSmithStorage
    Standard Tests
    Text Splitters
    Language
    Theme
    Pythonlangchain-classicretrieversdocument_compressorschain_extractLLMChainExtractorfrom_llm
    Method●Since v1.0

    from_llm

    Initialize from LLM.

    Copy
    from_llm(
      cls,
      llm: BaseLanguageModel,
      prompt: PromptTemplate | None = None,
      get_input: Callable[[str, Document], str] | None = None,
      llm_chain_kwargs: dict | None = None
    ) -> LLMChainExtractor
    View source on GitHub