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"""Example of using sandbox execution with Browser-Use Agent
This example demonstrates how to use the @sandbox decorator to run
browser automation tasks with the Agent in a sandbox environment.
To run this example:
1. Set your BROWSER_USE_API_KEY environment variable
2. Set your LLM API key (OPENAI_API_KEY, ANTHROPIC_API_KEY, etc.)
3. Run: python examples/sandbox_execution.py
"""
import asyncio
import os
from browser_use import Browser, ChatBrowserUse, sandbox
from browser_use.agent.service import Agent
# Example with event callbacks to monitor execution
def on_browser_ready(data):
"""Callback when browser session is created"""
print('\n🌐 Browser session created!')
print(f' Session ID: {data.session_id}')
print(f' Live view: {data.live_url}')
print(' Click the link above to watch the AI agent work!\n')
@sandbox(
log_level='INFO',
on_browser_created=on_browser_ready,
# server_url='http://localhost:8080/sandbox-stream',
# cloud_profile_id='21182245-590f-4712-8888-9611651a024c',
# cloud_proxy_country_code='us',
# cloud_timeout=60,
)
async def pydantic_example(browser: Browser):
agent = Agent(
"""go and check my ip address and the location. return the result in json format""",
browser=browser,
llm=ChatBrowserUse(),
)
res = await agent.run()
return res.final_result()
async def main():
"""Run examples"""
# Check if API keys are set
if not os.getenv('BROWSER_USE_API_KEY'):
print('❌ Please set BROWSER_USE_API_KEY environment variable')
return
print('\n\n=== Search with AI Agent (with live browser view) ===')
search_result = await pydantic_example()
print('\nResults:')
print(search_result)
if __name__ == '__main__':
asyncio.run(main())
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