目录
一、什么是多智能体？
二、什么是 AutoGen？
三、部署 AutoGen
3.1 更新 apt 软件源
3.2 安装 python 3.10
3.3 安装 AutoGen
3.4 安装 AutoGen Studio
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。
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。
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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Get:4 http://ppa.launchpad.net/deadsnakes/ppa/ubuntu focal/main amd64 python3.10 amd64 3.10.15-1+focal1 [556 kB]
Fetched 5,221 kB in 3s (1,707 kB/s)
Selecting previously unselected package libpython3.10-minimal:amd64.
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Preparing to unpack .../libpython3.10-stdlib_3.10.15-1+focal1_amd64.deb ...
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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.)
Preparing to unpack .../python3.10-lib2to3_3.10.15-1+focal1_all.deb ...
Unpacking python3.10-lib2to3 (3.10.15-1+focal1) ...
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Preparing to unpack .../python3.10-distutils_3.10.15-1+focal1_all.deb ...
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:~#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:~#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。
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！
