langchain.agents.agent_iterator.AgentExecutorIterator

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

Iterator for AgentExecutor.

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

Attributes

agent_executor
color_mapping
inputs
name_to_tool_map
callbacks
tags
metadata
run_name
include_run_info
yield_actions

Methods

__init__(agent_executor, inputs[, ...])	Initialize the AgentExecutorIterator with the given AgentExecutor, inputs, and optional callbacks.
make_final_outputs(outputs, run_manager)
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.

__init__(agent_executor: AgentExecutor, inputs: Any, callbacks: Callbacks = None, *, tags: Optional[list[str]] = None, metadata: Optional[Dict[str, Any]] = None, run_name: Optional[str] = None, include_run_info: bool = False, yield_actions: bool = False)

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

make_final_outputs(outputs: Dict[str, Any], run_manager: Union[CallbackManagerForChainRun, AsyncCallbackManagerForChainRun]) → AddableDict

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.