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For comprehensive authentication guidance including real browser profiles, storage state, and 2FA, see the Authentication Guide.
import os
from browser_use import Agent, Browser, ChatOpenAI
os.environ['ANONYMIZED_TELEMETRY'] = "false"


company_credentials = {'x_user': 'your-real-username@email.com', 'x_pass': 'your-real-password123'}

# Option 1: Secrets available for all websites
sensitive_data = company_credentials

# Option 2: Secrets per domain with regex
# sensitive_data = {
#     'https://*.example-staging.com': company_credentials,
#     'http*://test.example.com': company_credentials,
#     'https://example.com': company_credentials,
#     'https://google.com': {'g_email': 'user@gmail.com', 'g_pass': 'google_password'},
# }


agent = Agent(
    task='Log into example.com with username x_user and password x_pass',
    sensitive_data=sensitive_data,
    use_vision=False,  #  Disable vision to prevent LLM seeing sensitive data in screenshots
    llm=ChatOpenAI(model='gpt-4.1-mini'),
)
async def main():
await agent.run()

​
How it Works

  1. Text Filtering: The LLM only sees placeholders (x_user, x_pass), we filter your sensitive data from the input text.
  2. DOM Actions: Real values are injected directly into form fields after the LLM call

​
Best Practices

  • Use Browser(allowed_domains=[...]) to restrict navigation
  • Set use_vision=False to prevent screenshot leaks
  • Use storage_state='./auth.json' for login cookies instead of passwords when possible