load_summarize_chain() — langchain Function Reference

Architecture documentation for the load_summarize_chain() function in chain.py from the langchain codebase.

Function python AgentOrchestration ClassicChains

Entity Profile

AgentOrchestration→ ClassicChains→ load_summarize_chain() — langchain Function Reference

Dependency Diagram

graph TD
  ea9deb82_bc8c_c2c2_6378_e4bb5f322450["load_summarize_chain()"]
  efa3839a_04cc_4e5d_7ba0_06993a200d6c["chain.py"]
  ea9deb82_bc8c_c2c2_6378_e4bb5f322450 -->|defined in| efa3839a_04cc_4e5d_7ba0_06993a200d6c
  style ea9deb82_bc8c_c2c2_6378_e4bb5f322450 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/chains/summarize/chain.py lines 196–226

def load_summarize_chain(
    llm: BaseLanguageModel,
    chain_type: str = "stuff",
    verbose: bool | None = None,  # noqa: FBT001
    **kwargs: Any,
) -> BaseCombineDocumentsChain:
    """Load summarizing chain.

    Args:
        llm: Language Model to use in the chain.
        chain_type: Type of document combining chain to use. Should be one of "stuff",
            "map_reduce", and "refine".
        verbose: Whether chains should be run in verbose mode or not. Note that this
            applies to all chains that make up the final chain.
        **kwargs: Additional keyword arguments.

    Returns:
        A chain to use for summarizing.
    """
    loader_mapping: Mapping[str, LoadingCallable] = {
        "stuff": _load_stuff_chain,
        "map_reduce": _load_map_reduce_chain,
        "refine": _load_refine_chain,
    }
    if chain_type not in loader_mapping:
        msg = (
            f"Got unsupported chain type: {chain_type}. "
            f"Should be one of {loader_mapping.keys()}"
        )
        raise ValueError(msg)
    return loader_mapping[chain_type](llm, verbose=verbose, **kwargs)