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云服务器 Flexus X 实例:多智能体对话框架 AutoGen 部署和实例运行

  • 2025-01-07
    海南
  • 本文字数:6706 字

    阅读完需:约 22 分钟

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-common

3.2 安装 python 3.10****

添加 ppa:deadsnakes/ppa,如下所示。


root@flexusx-7305:~# sudo add-apt-repository ppa:deadsnakes/ppa


AutoGen 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]


Get:2 http://ppa.launchpad.net/deadsnakes/ppa/ubuntu focal/main amd64 python3.10-minimal amd64 3.10.15-1+focal1 [2,077 kB]


Get:3 http://ppa.launchpad.net/deadsnakes/ppa/ubuntu focal/main amd64 libpython3.10-stdlib amd64 3.10.15-1+focal1 [1,763 kB]


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.


(Reading database ... 117364 files and directories currently installed.)


Preparing to unpack .../libpython3.10-minimal_3.10.15-1+focal1_amd64.deb ...


Unpacking libpython3.10-minimal:amd64 (3.10.15-1+focal1) ...


Selecting previously unselected package python3.10-minimal.


Preparing to unpack .../python3.10-minimal_3.10.15-1+focal1_amd64.deb ...


Unpacking python3.10-minimal (3.10.15-1+focal1) ...


Selecting previously unselected package libpython3.10-stdlib:amd64.


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.)


Preparing to unpack .../python3.10-lib2to3_3.10.15-1+focal1_all.deb ...


Unpacking python3.10-lib2to3 (3.10.15-1+focal1) ...


Selecting previously unselected package python3.10-distutils.


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 autogen


Downloading autogen-0.3.0-py3-none-any.whl (345 kB)


|████████████████████████████████| 345 kB 968 kB/s


Collecting openai>=1.3


Using cached openai-1.45.0-py3-none-any.whl (374 kB)


Collecting docker


Downloading docker-7.1.0-py3-none-any.whl (147 kB)


|████████████████████████████████| 147 kB 17.6 MB/s


Collecting diskcache


Using cached diskcache-5.6.3-py3-none-any.whl (45 kB)


Collecting flaml


Using cached FLAML-2.2.0-py3-none-any.whl (297 kB)


Collecting termcolor


Using cached termcolor-2.4.0-py3-none-any.whl (7.7 kB)


Collecting numpy<2,>=1.17.0


Using 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,>=1.10


Using cached pydantic-2.9.1-py3-none-any.whl (434 kB)


Collecting tiktoken


Using cached tiktoken-0.7.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB)


Collecting python-dotenv


Using cached python_dotenv-1.0.1-py3-none-any.whl (19 kB)


Collecting packaging


Using cached packaging-24.1-py3-none-any.whl (53 kB)


Collecting httpx<1,>=0.23.0


Using cached httpx-0.27.2-py3-none-any.whl (76 kB)


Collecting jiter<1,>=0.4.0


Using 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


--2024-09-1511:55:58--  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 arxiv


Downloading arxiv-2.1.3-py3-none-any.whl (11 kB)


Collecting pydantic


Using cached pydantic-2.9.1-py3-none-any.whl (434 kB)


Collecting numpy<2.0.0


Downloading 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 sqlmodel


Downloading sqlmodel-0.0.22-py3-none-any.whl (28 kB)


Collecting fastapi


Downloading fastapi-0.114.2-py3-none-any.whl (94 kB)94.0/94.0 kB 864.9 kB/s eta 0:00:00


Collecting typer


Downloading typer-0.12.5-py3-none-any.whl (47 kB) 47.3/47.3 kB 3.9 MB/s eta 0:00:00


Collecting alembic


Downloading alembic-1.13.2-py3-none-any.whl (232 kB)233.0/233.0 kB 3.1 MB/s eta 0:00:00


Collecting loguru


Downloading 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, UserProxyAgent


llm_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!

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