AgentVerse's picture
bump version to 0.1.8
01523b5
from __future__ import annotations
import json
from colorama import Fore
from agentverse.logging import get_logger
import bdb
from string import Template
from typing import TYPE_CHECKING, List, Union
from agentverse.message import Message
from agentverse.agents import agent_registry
from agentverse.agents.base import BaseAgent
from agentverse.utils import AgentCriticism
from agentverse.message import CriticMessage
logger = get_logger()
@agent_registry.register("critic")
class CriticAgent(BaseAgent):
max_history: int = 3
tools: List[dict] = []
tool_names: List[str] = []
tool_descriptions: str = ""
def __init__(self, *args, **kwargs):
tool_config_file = kwargs.pop("tool_config", "")
tools = []
tool_names = []
tool_descriptions = ""
if tool_config_file != "":
try:
with open(tool_config_file, "r") as f:
tools_dict = json.load(f)
tools = tools_dict["tools_json"]
tool_names = [t["name"] for t in tools]
tool_descriptions = "\n".join(
[f"- {t['name']}: " + t["description"] for t in tools]
)
kwargs.update('tools', tools)
kwargs.update('tool_names', tool_names)
kwargs.update('tool_descriptions', tool_descriptions)
except Exception as e:
logger.error(e)
logger.warn("Failed to load tool config file.")
super().__init__(
*args,
**kwargs,
)
def step(self, env_description: str = "") -> CriticMessage:
pass
async def astep(
self,
preliminary_solution: str,
advice: str = "No advice yet.",
task_description: str = "",
all_roles: str = "",
**kwargs,
) -> CriticMessage:
"""Asynchronous version of step"""
logger.debug("", self.name, Fore.MAGENTA)
prepend_prompt, append_prompt = self.get_all_prompts(
preliminary_solution=preliminary_solution,
advice=advice,
task_description=task_description,
role_description=self.role_description,
agent_name=self.name,
all_roles=all_roles,
# tool_names=self.tool_names,
tool_descriptions=self.tool_descriptions,
)
history = self.memory.to_messages(self.name, start_index=-self.max_history)
parsed_response: Union[AgentCriticism, None] = None
for i in range(self.max_retry):
try:
response = await self.llm.agenerate_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 = CriticMessage(
content=parsed_response.criticism if parsed_response is not None else "",
sender=self.name,
sender_agent=self,
is_agree=parsed_response.is_agree if parsed_response is not None else False,
)
return message
def _fill_prompt_template(
self, preliminary_solution: str, advice: str, task_description: str
) -> str:
"""Fill the placeholders in the prompt template
In the conversation agent, three placeholders are supported:
- ${role_description}
- ${task_description}
- ${preliminary_solution}
- ${advice}
"""
input_arguments = {
"role_description": self.role_description,
"task_description": task_description,
"preliminary_solution": preliminary_solution,
"advice": advice,
}
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