init() — langchain Function Reference

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

Function python LangChainCore MessageInterface

Entity Profile

LangChainCore→ MessageInterface→ __init__() — langchain Function Reference

Dependency Diagram

graph TD
  01e32015_213d_50ed_0d7e_96a1cc300601["__init__()"]
  670767f0_01ad_c9dd_6835_d1a9fb775005["ContextEditingMiddleware"]
  01e32015_213d_50ed_0d7e_96a1cc300601 -->|defined in| 670767f0_01ad_c9dd_6835_d1a9fb775005
  style 01e32015_213d_50ed_0d7e_96a1cc300601 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain_v1/langchain/agents/middleware/context_editing.py lines 200–218

    def __init__(
        self,
        *,
        edits: Iterable[ContextEdit] | None = None,
        token_count_method: Literal["approximate", "model"] = "approximate",  # noqa: S107
    ) -> None:
        """Initialize an instance of context editing middleware.

        Args:
            edits: Sequence of edit strategies to apply.

                Defaults to a single `ClearToolUsesEdit` mirroring Anthropic defaults.
            token_count_method: Whether to use approximate token counting
                (faster, less accurate) or exact counting implemented by the
                chat model (potentially slower, more accurate).
        """
        super().__init__()
        self.edits = list(edits or (ClearToolUsesEdit(),))
        self.token_count_method = token_count_method