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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import asyncio
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import os
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import sys
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sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
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from dotenv import load_dotenv
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load_dotenv()
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from browser_use import Agent, ChatOpenAI
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# Initialize the model
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llm = ChatOpenAI(
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model='gpt-4.1',
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temperature=0.0,
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)
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# Simple case: the model will see x_name and x_password, but never the actual values.
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# sensitive_data = {'x_name': 'my_x_name', 'x_password': 'my_x_password'}
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# Advanced case: domain-specific credentials with reusable data
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# Define a single credential set that can be reused
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company_credentials: dict[str, str] = {'telephone': '9123456789', 'email': 'user@example.com', 'name': 'John Doe'}
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# Map the same credentials to multiple domains for secure access control
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# Type annotation to satisfy pyright
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sensitive_data: dict[str, str | dict[str, str]] = {
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# 'https://example.com': company_credentials,
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# 'https://admin.example.com': company_credentials,
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# 'https://*.example-staging.com': company_credentials,
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# 'http*://test.example.com': company_credentials,
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'httpbin.org': company_credentials,
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# # You can also add domain-specific credentials
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# 'https://google.com': {'g_email': 'user@gmail.com', 'g_pass': 'google_password'}
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}
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# Update task to use one of the credentials above
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task = 'Go to https://httpbin.org/forms/post and put the secure information in the relevant fields.'
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agent = Agent(task=task, llm=llm, sensitive_data=sensitive_data)
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async def main():
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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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