init() — langchain Function Reference

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

Function python LangChainCore Runnables

Entity Profile

LangChainCore→ Runnables→ __init__() — langchain Function Reference

Dependency Diagram

graph TD
  71b6ca15_4d9b_c210_97b9_d1c7a94c9123["__init__()"]
  8e601be2_5eac_8426_f30d_f1ed37138bd8["RunnableGenerator"]
  71b6ca15_4d9b_c210_97b9_d1c7a94c9123 -->|defined in| 8e601be2_5eac_8426_f30d_f1ed37138bd8
  style 71b6ca15_4d9b_c210_97b9_d1c7a94c9123 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/langchain_core/runnables/base.py lines 4188–4228

    def __init__(
        self,
        transform: Callable[[Iterator[Input]], Iterator[Output]]
        | Callable[[AsyncIterator[Input]], AsyncIterator[Output]],
        atransform: Callable[[AsyncIterator[Input]], AsyncIterator[Output]]
        | None = None,
        *,
        name: str | None = None,
    ) -> None:
        """Initialize a `RunnableGenerator`.

        Args:
            transform: The transform function.
            atransform: The async transform function.
            name: The name of the `Runnable`.

        Raises:
            TypeError: If the transform is not a generator function.

        """
        if atransform is not None:
            self._atransform = atransform
            func_for_name: Callable = atransform

        if is_async_generator(transform):
            self._atransform = transform
            func_for_name = transform
        elif inspect.isgeneratorfunction(transform):
            self._transform = transform
            func_for_name = transform
        else:
            msg = (
                "Expected a generator function type for `transform`."
                f"Instead got an unsupported type: {type(transform)}"
            )
            raise TypeError(msg)

        try:
            self.name = name or func_for_name.__name__
        except AttributeError:
            self.name = "RunnableGenerator"