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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.environments import PipelineEnvironment
from agentverse.message import SolverMessage, Message, CriticMessage
from agentverse.agents import agent_registry
from agentverse.agents.base import BaseAgent
from agentverse.utils import AgentCriticism
logger = get_logger()
@agent_registry.register("solver")
class SolverAgent(BaseAgent):
max_history: int = 3
def step(
self, former_solution: str, advice: str, task_description: str = "", **kwargs
) -> SolverMessage:
logger.debug("", self.name, Fore.MAGENTA)
# prompt = self._fill_prompt_template(
# former_solution, critic_opinions, advice, task_description
# )
prepend_prompt, append_prompt = self.get_all_prompts(
former_solution=former_solution,
task_description=task_description,
advice=advice,
role_description=self.role_description,
**kwargs,
)
history = self.memory.to_messages(self.name, start_index=-self.max_history)
parsed_response = None
for i in range(self.max_retry):
try:
response = self.llm.generate_response(
prepend_prompt, history, append_prompt
)
parsed_response = self.output_parser.parse(response)
break
except (KeyboardInterrupt, bdb.BdbQuit):
raise
except Exception as e:
logger.error(e)
logger.warn("Retrying...")
continue
if parsed_response is None:
logger.error(f"{self.name} failed to generate valid response.")
message = SolverMessage(
content=""
if parsed_response is None
else parsed_response.return_values["output"],
sender=self.name,
receiver=self.get_receiver(),
)
return message
async def astep(self, env_description: str = "") -> SolverMessage:
"""Asynchronous version of step"""
pass
def _fill_prompt_template(
self,
former_solution: str,
critic_opinions: List[AgentCriticism],
advice: str,
task_description: 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}
"""
input_arguments = {
"task_description": task_description,
"former_solution": former_solution,
"critic_opinions": "\n".join(
[
f"{critic.sender_agent.role_description} said: {critic.criticism}"
for critic in critic_opinions
]
),
"advice": advice,
}
# if discussion_mode:
# template = Template(self.prompt_template[1])
# else:
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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