_import_module() — langchain Function Reference

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

Function python LangChainCore LanguageModelBase called by 1

Entity Profile

LangChainCore→ LanguageModelBase→ _import_module() — langchain Function Reference

Dependency Diagram

graph TD
  9afc100b_d234_fc71_f9a4_299636599405["_import_module()"]
  0dc60931_4ce3_cfa4_06b1_e0f8b1869e73["base.py"]
  9afc100b_d234_fc71_f9a4_299636599405 -->|defined in| 0dc60931_4ce3_cfa4_06b1_e0f8b1869e73
  f789b310_4d83_1f92_6308_7e4a7c84255b["_get_chat_model_creator()"]
  f789b310_4d83_1f92_6308_7e4a7c84255b -->|calls| 9afc100b_d234_fc71_f9a4_299636599405
  style 9afc100b_d234_fc71_f9a4_299636599405 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain_v1/langchain/chat_models/base.py lines 99–123

def _import_module(module: str, class_name: str) -> ModuleType:
    """Import a module by name.

    Args:
        module: The fully qualified module name to import (e.g., `'langchain_openai'`).
        class_name: The name of the class being imported, used for error messages.

    Returns:
        The imported module.

    Raises:
        ImportError: If the module cannot be imported, with a message suggesting
            the pip package to install.
    """
    try:
        return importlib.import_module(module)
    except ImportError as e:
        # Extract package name from module path (e.g., "langchain_azure_ai.chat_models"
        # becomes "langchain-azure-ai")
        pkg = module.split(".", maxsplit=1)[0].replace("_", "-")
        msg = (
            f"Initializing {class_name} requires the {pkg} package. Please install it "
            f"with `pip install {pkg}`"
        )
        raise ImportError(msg) from e