-*- coding: utf-8 -*- """An example use multiple agents to search the Internet for answers""" import time import argparse from loguru import logger from searcher_agent import SearcherAgent from answerer_agent i
基于Rowboat 快速构建多智能体(Multi-Agent)工作流 Hello folks,我是 Luga,今天我们来聊一下人工智能应用场景 - 构建高效、灵活的计算架构的多智能体工作流。 在AI 驱动的自动化浪潮中,多智能体(Multi-Agent)系统正成为企业实现高效协作和智能化转型的关键。然而,构建一个多智能体工作流往往需要复杂的开发流程和高...
基于Rowboat 快速构建多智能体(Multi-Agent)工作流 Rowboat 不仅能将我们的创意迅速转化为可运行的工作流,还通过智能化的代理协作和灵活的集成方式,为各行各业带来前所未有的效率提升。 Hello folks,我是 Luga,今天我们来聊一下人工智能应用场景 - 构建高效、灵活的计算架构的多智能体工作流。 在AI 驱动的自动化...
--use-dist开启多进程模式 # -*- coding: utf-8 -*-"""An example use multiple agents to search the Internet for answers"""import timeimport argparsefrom loguru import loggerfrom searcher_agent import SearcherAgentfrom answerer_agent import AnswererAgentimport agentscopefrom agentscope.agents.user_...
agent_list, agent_configs = builder.build(building_task, default_llm_config, coding=True) #步骤4,利用返回的agent_list和agent_configs构建群聊,并且将任务交给群聊去执行。 这就讲Agent的构建也交给AI去决策了,你需要的只是指定任务而已。 在官网的Blog还有一些其他也挺有的意思的试验性项目,例如让Agent更新...
# -*- coding: utf-8 -*- """An example of a conversation with a ReAct agent.""" import sys import io from agentscope.agents import UserAgent from agentscope.agents import ReActAgent from agentscope.service import ( bing_search, google_search, read_text_file, write_text_file, ServiceTool...
# -*- coding: utf-8 -*-"""A werewolf game implemented by agentscope.""" from functools import partial from prompt import Prompts """ check\_winning: 检查游戏是否有一方获胜 update\_alive\_players: 更新存活玩家列表 majority\_vote: 计算多数投票结果 ...
# -*- coding: utf-8 -*-""" Group chat utils."""importrefromtypingimportSequenceimportrandom defselect\_next\_one(agents:Sequence, rnd:int)->Sequence:""" Select next agent. """#顺序选择# return agents[rnd % len(agents)]#随机选择returnrandom.choice(agents) ...
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-*- coding: utf-8 -*- """ Group chat utils."" import re from typing import Sequence import random def select_next_one(agents: Sequence, rnd: int) -> Sequence: """ Select next agent. """ #顺序选择 # return agents[rnd % len(agents)] #随机选择 return random.choice(agents) def...