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from __future__ import annotations
from typing import TYPE_CHECKING, List, Tuple
from agentverse.agents import BaseAgent
from pydantic import BaseModel
from abc import abstractmethod
from agentverse.message import SolverMessage
from . import decision_maker_registry
class BaseDecisionMaker(BaseModel):
"""
The base class of decision making class.
"""
name: str = "base"
@abstractmethod
async def astep(
self,
agents: List[BaseAgent],
task_description: str,
previous_plan: str = "No solution yet.",
advice: str = "No advice yet.",
*args,
**kwargs,
) -> List[SolverMessage]:
pass
def reset(self):
pass
def broadcast_messages(self, agents, messages) -> None:
for agent in agents:
agent.add_message_to_memory(messages)
def p2p_messages(self, agents, messages) -> None:
agents[0].add_message_to_memory(messages)
for message in messages:
for agent in agents[1:]:
if agent.name == message.sender:
agent.add_message_to_memory(messages)
break
@decision_maker_registry.register("dummy")
class DummyDecisionMaker(BaseDecisionMaker):
name: str = "dummy"
async def astep(
self,
agents: List[BaseAgent],
task_description: str,
previous_plan: str = "No solution yet.",
advice: str = "No advice yet.",
*args,
**kwargs,
) -> List[SolverMessage]:
return [
SolverMessage(content=task_description, sender=self.name, sender_agent=self)
]
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