langchain.agents.agent_iterator.AgentExecutorIterator

class langchain.agents.agent_iterator.AgentExecutorIterator(agent_executor: AgentExecutor, inputs: Any, callbacks: Callbacks = None, *, tags: Optional[list[str]] = None, include_run_info: bool = False, async_: bool = False)

Bases: BaseAgentExecutorIterator

Iterator for AgentExecutor.

Initialize the AgentExecutorIterator with the given AgentExecutor, inputs, and optional callbacks.

Methods

__init__(agent_executor, inputs[, ...])	Initialize the AgentExecutorIterator with the given AgentExecutor, inputs, and optional callbacks.
build_callback_manager()	Create and configure the callback manager based on the current callbacks and tags.
raise_stopasynciteration(output)	Raise a StopAsyncIteration exception with the given output.
raise_stopiteration(output)	Raise a StopIteration exception with the given output.
reset()	Reset the iterator to its initial state, clearing intermediate steps, iterations, and time elapsed.
update_iterations()	Increment the number of iterations and update the time elapsed.

Attributes

agent_executor
callback_manager
callbacks
color_mapping
final_outputs
inputs
name_to_tool_map
tags
run_manager
timeout_manager

build_callback_manager() → None

Create and configure the callback manager based on the current callbacks and tags.

async raise_stopasynciteration(output: Any) → NoReturn

Raise a StopAsyncIteration exception with the given output. Close the timeout context manager.

raise_stopiteration(output: Any) → NoReturn

Raise a StopIteration exception with the given output.

reset() → None

Reset the iterator to its initial state, clearing intermediate steps, iterations, and time elapsed.

update_iterations() → None

Increment the number of iterations and update the time elapsed.

property agent_executor: AgentExecutor

property callback_manager: Union[langchain.callbacks.manager.AsyncCallbackManager, langchain.callbacks.manager.CallbackManager]

property callbacks: Optional[Union[List[langchain.callbacks.base.BaseCallbackHandler], langchain.callbacks.base.BaseCallbackManager]]

property color_mapping: dict[str, str]

property final_outputs: Optional[dict[str, Any]]

property inputs: dict[str, str]

property name_to_tool_map: dict[str, langchain.tools.base.BaseTool]

run_manager: Optional[Union[langchain.callbacks.manager.AsyncCallbackManagerForChainRun, langchain.callbacks.manager.CallbackManagerForChainRun]]

property tags: Optional[List[str]]

timeout_manager: Any