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from __future__ import annotations
import asyncio
from colorama import Fore
from agentverse.logging import get_logger
import bdb
from string import Template
from typing import TYPE_CHECKING, List, Tuple
from agentverse.message import Message
from agentverse.agents import agent_registry
from agentverse.agents.base import BaseAgent
from agentverse.utils import AgentCriticism
import random
from rapidfuzz import fuzz
logger = get_logger()
@agent_registry.register("manager")
class ManagerAgent(BaseAgent):
prompt_template: str
def step(
self,
former_solution: str,
candidate_critic_opinions: List[AgentCriticism],
advice: str,
task_description: str = "",
previous_sentence: str = "",
) -> Message:
logger.debug("", self.name, Fore.MAGENTA)
prompt = self._fill_prompt_template(
former_solution,
candidate_critic_opinions,
advice,
task_description,
previous_sentence,
)
logger.debug(f"Prompt:\n{prompt}", "Manager", Fore.CYAN)
parsed_response = None
for i in range(self.max_retry):
try:
# LLM Manager
# response = self.llm.generate_response(prompt)
# parsed_response = self.output_parser.parse(response)
selected_role_description = self.llm.generate_response(prompt).content
candidate_score_list = [
fuzz.ratio(candidate.sender, selected_role_description)
for candidate in candidate_critic_opinions
]
selected_index = candidate_score_list.index(max(candidate_score_list))
candidate_critic_opinion = candidate_critic_opinions[selected_index]
# Random Manager
# parsed_response = random.choice(candidate_critic_opinions)
break
except (KeyboardInterrupt, bdb.BdbQuit):
raise
except Exception as e:
logger.error(e)
logger.warn("Retrying...")
continue
return candidate_critic_opinion
async def astep(self, env_description: str = "") -> Message:
"""Asynchronous version of step"""
pass
def _fill_prompt_template(
self,
former_solution: str,
candidate_critic_opinions: List[AgentCriticism],
advice: str,
task_description: str,
previous_sentence: str,
) -> str:
"""Fill the placeholders in the prompt template
In the role_assigner agent, three placeholders are supported:
- ${task_description}
- ${former_solution}
- ${critic_messages}
- ${advice}
- ${previous_sentence}
"""
input_arguments = {
"task_description": task_description,
"former_solution": former_solution,
"previous_sentence": previous_sentence,
"critic_opinions": "\n".join(
[
f"Role: {critic.sender}. {critic.sender_agent.role_description} said: {critic.content}"
for critic in candidate_critic_opinions
]
),
"advice": advice,
}
# manger select the proper sentence
template = Template(self.prompt_template)
return template.safe_substitute(input_arguments)
def add_message_to_memory(self, messages: List[Message]) -> None:
self.memory.add_message(messages)
def reset(self) -> None:
"""Reset the agent"""
self.memory.reset()
# TODO: reset receiver
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