需求:两个智能体,智能体一和智能体二
智能体一可以写文章,然后更具智能体二的建议进行修改;
智能体二可以看智能体一的输出并且给出智能体一的内容修改建议;
解决:
MetaGPT有watch观察方法作为外部数据进行思考和action具体代码如下
智能体一的角色和action定义
            
            
              python
              
              
            
          
          import asyncio
from metagpt.actions import Action, UserRequirement
from metagpt.logs import logger
from metagpt.roles import Role
from metagpt.schema import Message
from metagpt.environment import Environment
from metagpt.const import MESSAGE_ROUTE_TO_ALL
classroom = Environment()
# 学生写诗词
class WritePoem(Action):
    name: str = "WritePoem"
    PROMPT_TEMPLATE: str = """
    Here is the historical conversation record : {msg} .
    写一篇有human提供主题的100字发言稿,只返回生成的文稿不返回其他文本。如果老师提供了关于发言稿的修改建议,根据建议修改并返回。
    language: chinese
    your poem:
    """
    async def run(self, msg: str):
        prompt = self.PROMPT_TEMPLATE.format(msg = msg)
        rsp = await self._aask(prompt)
        return rsp
# 定义学生角色 使用学生的action并且input老师的检查反馈
class Student(Role):
    name: str = "xiaoming"
    profile: str = "Student"
    def __init__(self, **kwargs):
        super().__init__(**kwargs)
        # self._init_actions([WritePoem])
        self.set_actions([WritePoem])
        self._watch([UserRequirement, ReviewPoem])
    async def _act(self) -> Message:
        logger.info(f"{self._setting}: ready to {self.rc.todo}")
        todo = self.rc.todo
        msg = self.get_memories()  # 获取所有记忆
        # logger.info(msg)
        poem_text = await WritePoem().run(msg)
        logger.info(f'student : {poem_text}')
        msg = Message(content=poem_text, role=self.profile,
                      cause_by=type(todo))
        return msg
        智能体二的角色和action定义
            
            
              python
              
              
            
          
          # 老师检查学生写的诗词
class ReviewPoem(Action):
    name: str = "ReviewPoem"
    PROMPT_TEMPLATE: str = """
    Here is the historical conversation record : {msg} .
    检查学生创作关于human提供主题的文稿,并提出修改建议。您更喜欢表达优雅 引经据典 语句通顺连贯的内容。
    language: chinese
    your comments:
    """
    async def run(self, msg: str):
        prompt = self.PROMPT_TEMPLATE.format(msg = msg)
        rsp = await self._aask(prompt)
        return rsp
# 定义老师角色并且观察也就是input学生写的诗词
class Teacher(Role):
    name: str = "laowang"
    profile: str = "Teacher"
    def __init__(self, **kwargs):
        super().__init__(**kwargs)
        # self._init_actions([ReviewPoem])
        self.set_actions([ReviewPoem])
        self._watch([WritePoem])
    async def _act(self) -> Message:
        logger.info(f"{self._setting}: ready to {self.rc.todo}")
        todo = self.rc.todo
        msg = self.get_memories()  # 获取所有记忆
        poem_text = await ReviewPoem().run(msg)
        logger.info(f'teacher : {poem_text}')
        msg = Message(content=poem_text, role=self.profile,
                      cause_by=type(todo))
        return msg
        MAIN程序入口:
            
            
              python
              
              
            
          
          async def main(topic: str, n_round=3):
    classroom.add_roles([Student(), Teacher()])
    classroom.publish_message(
        Message(role="Human", content=topic, cause_by=UserRequirement,
                send_to='' or MESSAGE_ROUTE_TO_ALL),
        peekable=False,
    )
    while n_round > 0:
        # self._save()
        n_round -= 1
        logger.debug(f"max {n_round=} left.")
        await classroom.run()
    return classroom.history
asyncio.run(main(topic='写一个关于光伏性能源的200字文稿'))
        执行结果:
