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from __future__ import annotations
import asyncio
from colorama import Fore
from typing import TYPE_CHECKING, List
from . import decision_maker_registry
from .base import BaseDecisionMaker
from agentverse.logging import typewriter_log
if TYPE_CHECKING:
from agentverse.agents.base import BaseAgent
from agentverse.message import Message
@decision_maker_registry.register("dynamic")
class DynamicDecisionMaker(BaseDecisionMaker):
"""
Discuss in a horizontal manner.
"""
name: str = "dynamic"
## To Do: implement dynamic
# def step(
async def astep(
self,
agents: List[BaseAgent],
manager: List[BaseAgent],
task_description: str,
previous_plan: str = "No solution yet.",
advice: str = "No advice yet.",
previous_sentence: str = "No any sentence yet.",
*args,
**kwargs,
) -> List[str]:
# Speak simultaneously
# Manger select the optimial one as the current spoken sentence
reviews = list()
for i in range(len(agents)):
review = await asyncio.gather(
*[
agent.astep(previous_plan, advice, task_description)
for agent in agents[1:]
]
)
# typewriter_log("Reviews:", Fore.YELLOW)
# typewriter_log(
# "\n".join(
# [
# f"[{review.sender_agent.role_description}]: {review.criticism}"
# for review in reviews
# ]
# ),
# Fore.YELLOW,
# )
previous_sentence = manager.step(
previous_plan, review, advice, task_description, previous_sentence
)
reviews.append(previous_sentence)
"""
reviews = await asyncio.gather(
*[
agent.astep(previous_plan, advice, task_description)
for agent in agents[1:]
]
)
"""
nonempty_reviews = []
for review in reviews:
if not review.is_agree and review.content != "":
nonempty_reviews.append(review)
agents[0].add_message_to_memory(nonempty_reviews)
result = agents[0].step(previous_plan, advice, task_description)
return [result]
def reset(self):
pass
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