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| """ | |
| Example: Rerunning saved agent history | |
| This example shows how to: | |
| 1. Run an agent and save its history (including initial URL navigation) | |
| 2. Load and rerun the history with a new agent instance | |
| Useful for: | |
| - Debugging agent behavior | |
| - Testing changes with consistent scenarios | |
| - Replaying successful workflows | |
| Note: Initial actions (like opening URLs from tasks) are now automatically | |
| saved to history and will be replayed during rerun, so you don't need to | |
| worry about manually specifying URLs when rerunning. | |
| """ | |
| import asyncio | |
| from pathlib import Path | |
| from browser_use import Agent | |
| from browser_use.llm.openai.chat import ChatOpenAI | |
| async def main(): | |
| # Example task to demonstrate history saving and rerunning | |
| history_file = Path('agent_history.json') | |
| task = 'Go to https://browser-use.github.io/stress-tests/challenges/ember-form.html and fill the form with example data.' | |
| llm = ChatOpenAI(model='gpt-4.1-mini') | |
| agent = Agent(task=task, llm=llm, max_actions_per_step=1) | |
| await agent.run(max_steps=5) | |
| agent.save_history(history_file) | |
| rerun_agent = Agent(task='', llm=llm) | |
| await rerun_agent.load_and_rerun(history_file) | |
| if __name__ == '__main__': | |
| asyncio.run(main()) | |