Speedofmastery's picture
Merge Landrun + Browser-Use + Chromium with AI agent support (without binary files)
d7b3d84
import asyncio
import os
import sys
sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
from dotenv import load_dotenv
load_dotenv()
from browser_use import Agent, ChatOpenAI
# Initialize the model
llm = ChatOpenAI(
model='gpt-4.1',
temperature=0.0,
)
# Simple case: the model will see x_name and x_password, but never the actual values.
# sensitive_data = {'x_name': 'my_x_name', 'x_password': 'my_x_password'}
# Advanced case: domain-specific credentials with reusable data
# Define a single credential set that can be reused
company_credentials: dict[str, str] = {'telephone': '9123456789', 'email': 'user@example.com', 'name': 'John Doe'}
# Map the same credentials to multiple domains for secure access control
# Type annotation to satisfy pyright
sensitive_data: dict[str, str | dict[str, str]] = {
# 'https://example.com': company_credentials,
# 'https://admin.example.com': company_credentials,
# 'https://*.example-staging.com': company_credentials,
# 'http*://test.example.com': company_credentials,
'httpbin.org': company_credentials,
# # You can also add domain-specific credentials
# 'https://google.com': {'g_email': 'user@gmail.com', 'g_pass': 'google_password'}
}
# Update task to use one of the credentials above
task = 'Go to https://httpbin.org/forms/post and put the secure information in the relevant fields.'
agent = Agent(task=task, llm=llm, sensitive_data=sensitive_data)
async def main():
await agent.run()
if __name__ == '__main__':
asyncio.run(main())