Structured tool.
Run a function in an executor.
Create a Pydantic schema from a function's signature.
Check if the given class is a subclass of Pydantic BaseModel.
Check if the given class is a subclass of any of the following:
pydantic.BaseModel in Pydantic 2.xpydantic.v1.BaseModel in Pydantic 2.xAsync callback manager for tool run.
Callback manager for tool run.
Base class for all LangChain tools.
This abstract class defines the interface that all LangChain tools must implement.
Tools are components that can be called by agents to perform specific actions.
Represents an AI's request to call a tool.
Tool that can operate on any number of inputs.
Configuration for a Runnable.
Custom values
The TypedDict has total=False set intentionally to:
merge_configsvar_child_runnable_config (a ContextVar that automatically passes
config down the call stack without explicit parameter passing), where
configs are merged rather than replaced# Parent sets tags
chain.invoke(input, config={"tags": ["parent"]})
# Child automatically inherits and can add:
# ensure_config({"tags": ["child"]}) -> {"tags": ["parent", "child"]}