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from __future__ import annotations
from colorama import Fore
# import logging
from agentverse.logging import get_logger
import bdb
from string import Template
from typing import TYPE_CHECKING, List
from agentverse.message import Message
#from . import agent_registry
#from .base import BaseAgent
from agentverse.agents import agent_registry
from agentverse.agents.base import BaseAgent
logger = get_logger()
@agent_registry.register("conversation")
class ConversationAgent(BaseAgent):
def step(self, env_description: str = "") -> Message:
prompt = self._fill_prompt_template(env_description)
parsed_response = None
for i in range(self.max_retry):
try:
response = self.llm.generate_response(prompt)
parsed_response = self.output_parser.parse(response)
break
except KeyboardInterrupt:
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 = Message(
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 = "") -> Message:
"""Asynchronous version of step"""
prompt = self._fill_prompt_template(env_description)
parsed_response = None
for i in range(self.max_retry):
try:
# if self.name == "Code Reviewer":
logger.debug(prompt, "Prompt", Fore.CYAN)
response = await self.llm.agenerate_response(prompt)
# logging.info(f"{self.name}'s request result:"
# f" {response.content}")
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 = Message(
content=""
if parsed_response is None
else parsed_response.return_values["output"],
sender=self.name,
receiver=self.get_receiver(),
)
return message
def _fill_prompt_template(self, env_description: str = "") -> str:
"""Fill the placeholders in the prompt template
In the conversation agent, three placeholders are supported:
- ${agent_name}: the name of the agent
- ${env_description}: the description of the environment
- ${role_description}: the description of the role of the agent
- ${chat_history}: the chat history of the agent
"""
input_arguments = {
"agent_name": self.name,
"env_description": env_description,
"role_description": self.role_description,
"chat_history": self.memory.to_string(add_sender_prefix=True),
}
return Template(self.prompt_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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