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# coding: utf-8
# Copyright (c) 2025 inclusionAI.
from typing import Any, Callable
from aworld.agents.llm_agent import Agent
class LoopableAgent(Agent):
"""Support for loop agents in the swarm.
The parameters of the extension function are the agent itself, which can obtain internal information of the agent.
`stop_func` function example:
>>> def stop(agent: LoopableAgent):
>>> ...
`loop_point_finder` function example:
>>> def find(agent: LoopableAgent):
>>> ...
"""
max_run_times: int = 1
cur_run_times: int = 0
# The loop agent special the loop point (agent name)
loop_point: str = None
# Used to determine the loop point for multiple loops
loop_point_finder: Callable[..., Any] = None
# def stop(agent: LoopableAgent): ...
stop_func: Callable[..., Any] = None
@property
def goto(self):
"""The next loop point is what the loop agent wants to reach."""
if self.loop_point_finder:
return self.loop_point_finder(self)
if self.loop_point:
return self.loop_point
return self.id()
@property
def finished(self) -> bool:
"""Loop agent termination state detection, achieved loop count or termination condition."""
if self.cur_run_times >= self.max_run_times or (self.stop_func and self.stop_func(self)):
self._finished = True
return True
self._finished = False
return False
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