85 lines
2.8 KiB
Markdown
Executable File
85 lines
2.8 KiB
Markdown
Executable File
Ubuntu20.04 + python3.11.9 + django
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#1、安装python3.11.9
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sudo apt install build-essential zlib1g-dev libncurses5-dev libgdbm-dev libnss3-dev libssl-dev libreadline-dev libffi-dev libsqlite3-dev wget
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wget https://www.python.org/ftp/python/3.11.9/Python-3.11.9.tgz
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tar zxvf Python-3.11.9.tgz
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cd Python-3.11.9
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./configure --enable-optimizations
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make -j$(nproc)
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sudo make altinstall
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python3.11 -m ensurepip --upgrade
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wget https://bootstrap.pypa.io/get-pip.py
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python3.11 get-pip.py
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#2、安装python虚拟环境和依赖
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cd /opt/matagent
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python3.11 -m venv pyautogen
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source pyautogen/bin/activate
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#安装pyautogen
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pip install pyautogen==0.2.34
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pip install flaml[automl]
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pip install chromadb
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pip install Image
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#安装django
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pip install django
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pip install djangorestframework
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pip install requests
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#安装 websocket支持 channels+asgi
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pip install channels
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pip install asgiref # Django Channels 依赖的包
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#运行服务，支持http+websocket websocket接口： ws://192.168.42.130:8000/matagent/chat
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DJANGO_SETTINGS_MODULE=matagent.settings uvicorn matagent.asgi:application --host 0.0.0.0 --port 8000
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#安装nginx
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sudo apt-get update
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sudo apt-get install nginx
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--查看状态
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sudo systemctl status nginx
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--修改配置
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/etc/nginx/default
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nginx配置在default
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#pip install autogen-agentchat[websockets]~=0.2 fastapi uvicorn
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# 完整agent的console版本
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matagent_main.py是入口点。
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安装requirements.txt里面的pyautogen，然后运行即可。
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.coding目录不要删除，里面包含的是一个配置好的，AGENT执行python代码的环境，否则会报错。
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如果存在问题，检查.coding/pyvenv.cfg文件配置
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data目录记录了实验数据，PL和UV数据，不要删除，否则会报错。
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代码中，agent之间的状态流转逻辑通常为每个group的state_transition函数中，其中return 'auto'表示自动选择合适的agent。
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# 简单agent的ui版本
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cd ui-simple
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chainlit run --port 8989 appUI.py
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chainlit继承了pyautogen的AssistantAgent，在这个基础上实现了chainlit的接口。
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class ChainlitAssistantAgent(AssistantAgent):
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class ChainlitUserProxyAgent(UserProxyAgent):
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同时重载了两个方法以发送数据到前端。
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"""
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Wrapper for AutoGens Assistant Agent
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"""
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def send(
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self,
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message: Union[Dict, str],
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recipient: Agent,
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request_reply: Optional[bool] = None,
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silent: Optional[bool] = False,
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) -> bool:
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cl.run_sync(
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cl.Message(
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content=f'**{self.name}** Sending message to "{recipient.name}":\n\n{message}',
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author=self.name,
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).send()
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)
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super(ChainlitAssistantAgent, self).send(
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message=message,
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recipient=recipient,
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request_reply=request_reply,
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silent=silent,
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) |