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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('\n๐ 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') | |
| 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('โ 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()) | |