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