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51 lines
1.7 KiB
Plaintext
51 lines
1.7 KiB
Plaintext
---
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title: "Sensitive Data"
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description: "Handle sensitive information securely by preventing the model from seeing actual passwords."
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icon: "shield"
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---
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## Handling Sensitive Data
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When working with sensitive information like passwords, you can use the `sensitive_data` parameter to prevent the model from seeing the actual values while still allowing it to reference them in its actions.
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Here's an example of how to use sensitive data:
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```python
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from dotenv import load_dotenv
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from langchain_openai import ChatOpenAI
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from browser_use import Agent
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load_dotenv()
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# Initialize the model
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llm = ChatOpenAI(
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model='gpt-4o',
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temperature=0.0,
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)
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# Define sensitive data
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# The model will only see the keys (x_name, x_password) but never the actual values
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sensitive_data = {'x_name': 'magnus', 'x_password': '12345678'}
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# Use the placeholder names in your task description
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task = 'go to x.com and login with x_name and x_password then write a post about the meaning of life'
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# Pass the sensitive data to the agent
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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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```
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In this example:
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1. The model only sees `x_name` and `x_password` as placeholders.
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2. When the model wants to use your password it outputs x_password - and we replace it with the actual value.
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3. When your password is visible on the current page, we replace it in the LLM input - so that the model never has it in its state.
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Warning: Vision models still see the image of the page - where the sensitive data might be visible.
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This approach ensures that sensitive information remains secure while still allowing the agent to perform tasks that require authentication.
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