getattr() — langchain Function Reference

Architecture documentation for the __getattr__() function in __init__.py from the langchain codebase.

Function python LangChainCore LanguageModelBase calls 1

Entity Profile

LangChainCore→ LanguageModelBase→ __getattr__() — langchain Function Reference

Dependency Diagram

graph TD
  982d66a9_b1db_d53e_2a6b_dd75e1cb73ab["__getattr__()"]
  2c74953f_f09a_25b9_cd49_d2b3d6fed35a["__init__.py"]
  982d66a9_b1db_d53e_2a6b_dd75e1cb73ab -->|defined in| 2c74953f_f09a_25b9_cd49_d2b3d6fed35a
  4f9a38f1_df10_1e30_d622_27578eaf8c4f["get_type_to_cls_dict()"]
  982d66a9_b1db_d53e_2a6b_dd75e1cb73ab -->|calls| 4f9a38f1_df10_1e30_d622_27578eaf8c4f
  style 982d66a9_b1db_d53e_2a6b_dd75e1cb73ab fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/llms/__init__.py lines 530–551

def __getattr__(name: str) -> Any:
    from langchain_community import llms

    # If not in interactive env, raise warning.
    if not is_interactive_env():
        warnings.warn(
            "Importing LLMs from langchain is deprecated. Importing from "
            "langchain will no longer be supported as of langchain==0.2.0. "
            "Please import from langchain-community instead:\n\n"
            f"`from langchain_community.llms import {name}`.\n\n"
            "To install langchain-community run `pip install -U langchain-community`.",
            stacklevel=2,
            category=LangChainDeprecationWarning,
        )

    if name == "type_to_cls_dict":
        # for backwards compatibility
        type_to_cls_dict: dict[str, type[BaseLLM]] = {
            k: v() for k, v in get_type_to_cls_dict().items()
        }
        return type_to_cls_dict
    return getattr(llms, name)