ai-agent-book 精选快照(<2MB 代码与文档,来自 github.com/bojieli/ai-agent-book)
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---
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title: "Human Quickstart"
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description: ""
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icon: "rocket"
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---
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## 1. Fast setup
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<Tabs>
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<Tab title="uv">
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```bash create environment
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uv venv --python 3.12
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```
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</Tab>
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<Tab title="pip">
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```bash create environment with python >= 3.11
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python3.12 -m venv .venv
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```
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</Tab>
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</Tabs>
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<Tabs>
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<Tab title="Mac/Linux">
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```bash activate environment
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source .venv/bin/activate
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```
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</Tab>
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<Tab title="Windows">
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```bash activate environment
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.venv\Scripts\activate
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```
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</Tab>
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</Tabs>
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<Tabs>
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<Tab title="uv">
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```bash install browser-use & chromium
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uv pip install browser-use
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uvx playwright install chromium --with-deps
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```
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</Tab>
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<Tab title="pip">
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```bash install browser-use & chromium
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pip install browser-use
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pip install playwright && playwright install chromium --with-deps
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```
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</Tab>
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</Tabs>
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## 2. Choose your favorite LLM
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Create a `.env` file and add your API key. Don't have one? Start with a [free Gemini key](https://aistudio.google.com/app/u/1/apikey?pli=1).
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<Tabs>
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<Tab title="Mac/Linux">
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```bash create .env file
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touch .env
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```
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</Tab>
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<Tab title="Windows">
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```cmd create .env file
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echo. > .env
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```
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</Tab>
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</Tabs>
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<Tabs>
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<Tab title="Google">
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```bash add your key to .env file
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GEMINI_API_KEY=
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```
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</Tab>
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<Tab title="OpenAI">
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```bash add your key to .env file
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OPENAI_API_KEY=
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```
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</Tab>
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<Tab title="Anthropic">
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```bash add your key to .env file
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ANTHROPIC_API_KEY=
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```
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</Tab>
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</Tabs>
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See [Supported Models](/customize/supported-models) for more.
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## 3. Run your first agent
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<Tabs>
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<Tab title="Google">
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```python agent.py
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from browser_use import Agent, ChatGoogle
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from dotenv import load_dotenv
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import asyncio
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load_dotenv()
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async def main():
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llm = ChatGoogle(model="gemini-2.5-flash")
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task = "Find the number 1 post on Show HN"
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agent = Agent(task=task, llm=llm)
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await agent.run()
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if __name__ == "__main__":
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asyncio.run(main())
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```
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</Tab>
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<Tab title="OpenAI">
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```python agent.py
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from browser_use import Agent, ChatOpenAI
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from dotenv import load_dotenv
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import asyncio
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load_dotenv()
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async def main():
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llm = ChatOpenAI(model="gpt-4.1-mini")
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task = "Find the number 1 post on Show HN"
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agent = Agent(task=task, llm=llm)
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await agent.run()
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if __name__ == "__main__":
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asyncio.run(main())
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```
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</Tab>
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<Tab title="Anthropic">
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```python agent.py
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from browser_use import Agent, ChatAnthropic
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from dotenv import load_dotenv
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import asyncio
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load_dotenv()
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async def main():
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llm = ChatAnthropic(model='claude-sonnet-4-0', temperature=0.0)
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task = "Find the number 1 post on Show HN"
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agent = Agent(task=task, llm=llm)
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await agent.run()
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if __name__ == "__main__":
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asyncio.run(main())
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```
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</Tab>
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</Tabs>
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