目录
一、什么是多智能体？
AutoGen%EF%BC%9F-toc" style="margin-left:0px;">二、什么是 AutoGen？
AutoGen-toc" style="margin-left:0px;">三、部署 AutoGen
3.1 更新 apt 软件源
3.2 安装 python 3.10
AutoGen-toc" style="margin-left:40px;">3.3 安装 AutoGen
AutoGen%20Studio-toc" style="margin-left:40px;"> 3.4 安装 AutoGen Studio
AutoGen%20Studio-toc" style="margin-left:0px;">四、运行 AutoGen Studio
五、实例展示
5.1 构建实例
5.2 运行
六、总结
在体验了华为云的 Flexus云服务器X实例 后，感受到其卓越的性能和灵活性，通过弹性伸缩服务和负载均衡，能够轻松应对市场的瞬息万变，确保业务的连续性和稳定性。数据的可靠性和安全性也得到了极大的保障，华为云数据库服务和网络安全服务的结合，让数据存储和业务运行更加安全无忧。
对于个人开发者和测试人员来说，Flexus云服务器X实例 的按需计费模式极大地降低了成本，同时提供了高可用性和可靠性，体验上可以媲美自建环境。全栈的开发测试工具链更是提升了开发效率，让创新和迭代变得更加迅速，点击这里体验~
下面就来一起体验下吧！
一、什么是多智能体？
多智能体系统是由多个智能体精妙组合而成的集合体，其核心宗旨在于将庞大且复杂的系统解构为一系列小型、高度互联、且能自主通信与协同工作的子系统，从而显著提升系统的可管理性与灵活性。这一领域的研究深入探索了智能体的认知知识、追求目标、掌握技能、规划路径，以及如何通过高效的协调机制促使它们共同行动以解决复杂问题。
AutoGen%EF%BC%9F">二、什么是 AutoGen？
AutoGen 是一个开源编程框架，用于构建 AI 代理并促进多个代理之间的协作以解决任务。AutoGen 旨在简化代理 AI 的开发和研究，就像 PyTorch 对深度学习所做的那样。它提供的功能包括能够相互交互的代理、促进使用各种大型语言模型 (LLM) 和工具使用支持、自主和人机交互工作流程以及多代理对话模式。
AutoGen">三、部署 AutoGen
3.1 更新 apt 软件源
首先，更新下云服务器的 apt 软件源，执行如下命令更新。
root@flexusx-7305:~# sudo apt update
Hit:1 http://repo.huaweicloud.com/ubuntu focal InRelease
Get:2 http://repo.huaweicloud.com/ubuntu focal-updates InRelease [128 kB]
Hit:3 http://repo.huaweicloud.com/ubuntu focal-backports InRelease
Hit:4 http://repo.huaweicloud.com/ubuntu focal-security InRelease
Ign:5 https://download.docker.com/linux/ubuntu focal InRelease
Get:6 http://repo.huaweicloud.com/ubuntu focal-updates/main amd64 Packages [3,563 kB]
Err:7 https://download.docker.com/linux/ubuntu focal Release Could not handshake: Error in the pull function. [IP: 18.155.68.38 443]
Get:8 http://repo.huaweicloud.com/ubuntu focal-updates/universe i386 Packages [807 kB]
Get:9 http://repo.huaweicloud.com/ubuntu focal-updates/universe amd64 Packages [1,231 kB]
Hit:10 https://packages.redis.io/deb focal InRelease
Reading package lists... Done执行如下命令安装 software-properties-common。
root@flexusx-7305:~# sudo apt install software-properties-common3.2 安装 python 3.10
添加 ppa:deadsnakes/ppa，如下所示。
root@flexusx-7305:~# sudo add-apt-repository ppa:deadsnakes/ppaAutoGen 需要 python 3.9 以上的版本，本文安装 python 3.10，如下所示。
root@flexusx-7305:~# sudo apt install python3.10
Reading package lists... Done
Building dependency tree
Reading state information... Done
The following packages were automatically installed and are no longer required:redis-server redis-tools
Use 'sudo apt autoremove' to remove them.
The following additional packages will be installed:libpython3.10-minimal libpython3.10-stdlib python3.10-minimal
Suggested packages:python3.10-venv binfmt-support
The following NEW packages will be installed:libpython3.10-minimal libpython3.10-stdlib python3.10 python3.10-minimal
0 upgraded, 4 newly installed, 0 to remove and 33 not upgraded.
Need to get 5,221 kB of archives.
After this operation, 20.2 MB of additional disk space will be used.
Do you want to continue? [Y/n] y
Get:1 http://ppa.launchpad.net/deadsnakes/ppa/ubuntu focal/main amd64 libpython3.10-minimal amd64 3.10.15-1+focal1 [825 kB]
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Fetched 5,221 kB in 3s (1,707 kB/s)
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Preparing to unpack .../libpython3.10-stdlib_3.10.15-1+focal1_amd64.deb ...
Unpacking libpython3.10-stdlib:amd64 (3.10.15-1+focal1) ...
Selecting previously unselected package python3.10.
Preparing to unpack .../python3.10_3.10.15-1+focal1_amd64.deb ...
Unpacking python3.10 (3.10.15-1+focal1) ...
Setting up libpython3.10-minimal:amd64 (3.10.15-1+focal1) ...
Setting up python3.10-minimal (3.10.15-1+focal1) ...
Setting up libpython3.10-stdlib:amd64 (3.10.15-1+focal1) ...
Setting up python3.10 (3.10.15-1+focal1) ...
Processing triggers for mime-support (3.64ubuntu1) ...
Processing triggers for man-db (2.9.1-1) ...
root@flexusx-7305:~#创建 python 软连接，让 /usr/bin/python 指向 /usr/bin/python3.10，如果 python3 命令不是 3.10 版本，同样也需要创建软连接，然后查看 python 版本，如下所示。
root@flexusx-7305:~# ln -s /usr/bin/python3.10 /usr/bin/python
root@flexusx-7305:~# python --version
Python 3.10.15
root@flexusx-7305:~#安装 python3.10-venv 用于创建 python 虚拟环境，如下所示。
root@flexusx-7305:~# apt install python3.10-venv
Reading package lists... Done
Building dependency tree
Reading state information... Done
The following packages were automatically installed and are no longer required:redis-server redis-tools
Use 'apt autoremove' to remove them.
The following additional packages will be installed:python3.10-distutils python3.10-lib2to3
The following NEW packages will be installed:python3.10-distutils python3.10-lib2to3 python3.10-venv
0 upgraded, 3 newly installed, 0 to remove and 33 not upgraded.
Need to get 3,243 kB of archives.
After this operation, 4,528 kB of additional disk space will be used.
Do you want to continue? [Y/n] y
Get:1 http://ppa.launchpad.net/deadsnakes/ppa/ubuntu focal/main amd64 python3.10-lib2to3 all 3.10.15-1+focal1 [126 kB]
Get:2 http://ppa.launchpad.net/deadsnakes/ppa/ubuntu focal/main amd64 python3.10-distutils all 3.10.15-1+focal1 [187 kB]
Get:3 http://ppa.launchpad.net/deadsnakes/ppa/ubuntu focal/main amd64 python3.10-venv amd64 3.10.15-1+focal1 [2,931 kB]
Fetched 3,243 kB in 4s (880 kB/s)
Selecting previously unselected package python3.10-lib2to3.
(Reading database ... 118026 files and directories currently installed.)
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Unpacking python3.10-distutils (3.10.15-1+focal1) ...
Selecting previously unselected package python3.10-venv.
Preparing to unpack .../python3.10-venv_3.10.15-1+focal1_amd64.deb ...
Unpacking python3.10-venv (3.10.15-1+focal1) ...
Setting up python3.10-lib2to3 (3.10.15-1+focal1) ...
Setting up python3.10-distutils (3.10.15-1+focal1) ...
Setting up python3.10-venv (3.10.15-1+focal1) ...创建用于部署 AutoGen 的虚拟环境，执行如下命令。
root@flexusx-7305:~# python3 -m venv autogentest
root@flexusx-7305:~# source autogentest/bin/activate
(autogentest) root@flexusx-7305:~#AutoGen">3.3 安装 AutoGen
进入环境 AutoGen，执行命令安装 AutoGen，如下所示。
(autogentest) root@flexusx-7305:~# pip install autogen
Collecting autogenDownloading autogen-0.3.0-py3-none-any.whl (345 kB)|████████████████████████████████| 345 kB 968 kB/s
Collecting openai>=1.3Using cached openai-1.45.0-py3-none-any.whl (374 kB)
Collecting dockerDownloading docker-7.1.0-py3-none-any.whl (147 kB)|████████████████████████████████| 147 kB 17.6 MB/s
Collecting diskcacheUsing cached diskcache-5.6.3-py3-none-any.whl (45 kB)
Collecting flamlUsing cached FLAML-2.2.0-py3-none-any.whl (297 kB)
Collecting termcolorUsing cached termcolor-2.4.0-py3-none-any.whl (7.7 kB)
Collecting numpy<2,>=1.17.0Using cached numpy-1.24.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.3 MB)
Collecting pydantic!=2.6.0,<3,>=1.10Using cached pydantic-2.9.1-py3-none-any.whl (434 kB)
Collecting tiktokenUsing cached tiktoken-0.7.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB)
Collecting python-dotenvUsing cached python_dotenv-1.0.1-py3-none-any.whl (19 kB)
Collecting packagingUsing cached packaging-24.1-py3-none-any.whl (53 kB)
Collecting httpx<1,>=0.23.0Using cached httpx-0.27.2-py3-none-any.whl (76 kB)
Collecting jiter<1,>=0.4.0Using cached jiter-0.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (319 kB)查看 AutoGen 版本，执行如下命令查看。
(autogentest) root@flexusx-7305:~# pip list | grep autogen
autogen 0.3.0
(autogentest) root@flexusx-7305:~#AutoGen%20Studio"> 3.4 安装 AutoGen Studio
执行 wget 命令下载 autogenstudio 包，或者执行 pip install autogenstudio，如下所示。
(autogentest) root@flexusx-7305:~# wget https://files.pythonhosted.org/packages/4c/ec/adb715c79656b18b31bfdfbc0253f7f4486b22fd7f7f3a21234bf5d0597c/autogenstudio-0.1.5-py3-none-any.whl
--2024-09-15 11:55:58-- https://files.pythonhosted.org/packages/4c/ec/adb715c79656b18b31bfdfbc0253f7f4486b22fd7f7f3a21234bf5d0597c/autogenstudio-0.1.5-py3-none-any.whl
Resolving files.pythonhosted.org (files.pythonhosted.org)... 151.101.88.223, 2a04:4e42:15::223
Connecting to files.pythonhosted.org (files.pythonhosted.org)|151.101.88.223|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 4434948 (4.2M) [application/octet-stream]
Saving to: ‘autogenstudio-0.1.5-py3-none-any.whl’autogenstudio-0.1.5-py3-none-any.whl 100%[====================================================================================================================================================>] 4.23M 6.43MB/s in 0.7s 2024-09-15 11:55:59 (6.43 MB/s) - ‘autogenstudio-0.1.5-py3-none-any.whl’ saved [4434948/4434948]pip 安装 autogenstudio，如下所示。
(autogentest) root@flexusx-7305:~# pip install autogenstudio-0.1.5-py3-none-any.whl
Processing ./autogenstudio-0.1.5-py3-none-any.whl
Collecting arxivDownloading arxiv-2.1.3-py3-none-any.whl (11 kB)
Collecting pydanticUsing cached pydantic-2.9.1-py3-none-any.whl (434 kB)
Collecting numpy<2.0.0Downloading numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 18.2/18.2 MB 49.9 MB/s eta 0:00:00
Collecting sqlmodelDownloading sqlmodel-0.0.22-py3-none-any.whl (28 kB)
Collecting fastapiDownloading fastapi-0.114.2-py3-none-any.whl (94 kB)━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 94.0/94.0 kB 864.9 kB/s eta 0:00:00
Collecting typerDownloading typer-0.12.5-py3-none-any.whl (47 kB)━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 47.3/47.3 kB 3.9 MB/s eta 0:00:00
Collecting alembicDownloading alembic-1.13.2-py3-none-any.whl (232 kB)━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 233.0/233.0 kB 3.1 MB/s eta 0:00:00
Collecting loguruDownloading loguru-0.7.2-py3-none-any.whl (62 kB)━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.5/62.5 kB 13.6 MB/s eta 0:00:00至此，所有部署工作完成。
AutoGen%20Studio">四、运行 AutoGen Studio
启动 AutoGen Studio，指定端口，如下所示。
(autogentest) root@flexusx-7305:~# autogenstudio ui --host 0.0.0.0 --port 3001
2024-09-15 14:22:26.963 | INFO | autogenstudio.utils.utils:get_db_uri:253 - Using database URI: sqlite:root/.autogenstudio/database.sqlite
2024-09-15 14:22:26.963 | INFO | autogenstudio.utils.utils:init_app_folders:288 - Initialized application data folder: /root/.autogenstudio
INFO: Started server process [153974]
INFO: Waiting for application startup.
***** App started *****
2024-09-15 14:22:27.006 | INFO | autogenstudio.database.utils:init_db_samples:148 - Database already initialized with Default and Travel Planning Workflows
INFO: Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:3001 (Press CTRL+C to quit)访问 http://服务器IP:3001，界面如下所示。
点击 Build 按钮，进入构建页面，如下所示。
下面通过展示实例测试多智能体交互。
五、实例展示
5.1 构建实例
创建 test.py 文件，复制如下代码。
import os
from autogen import AssistantAgent, UserProxyAgentllm_config = {"model": "<model name>","api_key": "<API_KEY>","base_url": "<BASE_URL>"}
assistant = AssistantAgent("assistant", llm_config=llm_config)
user_proxy = UserProxyAgent("user_proxy", llm_config=False,human_input_mode="NEVER",code_execution_config=False)# 开始对话
chat_result = user_proxy.initiate_chat(assistant,message="北京有哪些景点？",max_turns=2
)
其中，<model name> 需要替换为模型名称，<API_KEY> 为密钥，<BASE_URL> 为基础 URL，API 需要兼容 OpenAI API。
5.2 运行
执行 python test.py 运行代码，如下所示。
(autogentest) root@flexusx-7305:~# python test.py
user_proxy (to assistant):北京有哪些景点？--------------------------------------------------------------------------------
assistant (to user_proxy):北京是中国的首都，拥有丰富的历史遗产和文化景点。其中一些最著名的景点包括：* 故宫：清朝的皇宫，也是世界上最大的宫殿建筑群。
* 天安门广场： мире 最大的城市广场之一，是许多重要事件的发生地。
* 长城：世界上最长的墙，也是中国最著名的景点之一。
* juven]).
* 颐和园：清朝皇帝的夏宫，被誉为“中国园林之母”。
* 圆明园：清朝皇帝的私家园林，也是中国最大的园林之一。
* 天坛：明清两代皇帝在这里祭祀天地和祖先的场所。
* 东城区：位于北京中心的商业区，拥有众多高档购物商场和餐厅。
* 西单：北京最繁华的购物街之一。
* 北京奥林匹克公园：2008年北京奥运会的举办地，内有鸟巢等标志性建筑。--------------------------------------------------------------------------------
(autogentest) root@flexusx-7305:~#六、总结
通过深入探索并充分体验 “Flexus云服务器X实例” 后，顺利部署了AutoGen及其配套的开发环境 AutoGen Studio，并展示了其高效运行的成果。此次实践不仅突显了 Flexus云服务器X实例 在部署与应用上的便捷与高效特性，更以其丝滑无阻的操作体验，让即便是技术新手也能迅速掌握，日常运维工作因此变得前所未有的轻松与高效。对于渴望在代码管理领域实现高效与流畅体验的用户而言，Flexus云服务器X实例 无疑是一个不容错过的理想之选。立即行动，亲身体验其卓越性能与便捷管理带来的无限可能！
