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from __future__ import annotations
import logging
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
if TYPE_CHECKING:
from agentverse.environments.base import BaseEnvironment
class PrisonerDilemaAgent(BaseAgent):
def step(
self,
environment: BaseEnvironment,
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(self, environment, response)
break
except Exception as e:
logging.error(e)
logging.warning("Retrying...")
continue
if parsed_response is None:
logging.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, environment: BaseEnvironment, 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:
response = await self.llm.agenerate_response(prompt)
parsed_response = self.output_parser.parse(self, environment, response)
break
except Exception as e:
logging.error(e)
logging.warning("Retrying...")
continue
if parsed_response is None:
logging.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
@agent_registry.register("police")
class PoliceAgent(PrisonerDilemaAgent):
interrogating_form: str
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),
}
role_argument = {
"interrogating_form": self.interrogating_form,
}
role_description = Template(self.role_description).safe_substitute(
role_argument
)
input_arguments["role_description"] = role_description
return Template(self.prompt_template).safe_substitute(input_arguments)
@agent_registry.register("prisoner")
class PrisonerAgent(PrisonerDilemaAgent):
personality: str
relationship_with_another: str
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),
}
role_argument = {
"personality": self.personality,
"relationship_with_another": self.relationship_with_another,
}
role_description = Template(self.role_description).safe_substitute(
role_argument
)
input_arguments["role_description"] = role_description
return Template(self.prompt_template).safe_substitute(input_arguments)
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