Tool that takes in function or coroutine directly.
Run a function in an executor.
Async 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.
Exception thrown when a tool execution error occurs.
This exception allows tools to signal errors without stopping the agent.
The error is handled according to the tool's handle_tool_error setting, and the
result is returned as an observation to the agent.
Represents an AI's request to call a tool.
Tool that takes in function or coroutine directly.
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"]}