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chore: import upstream snapshot with attribution
2026-07-13 12:02:32 +08:00

44 lines
1023 B
Python

import asyncio
import os
import random
import sys
from browser_use.llm.google.chat import ChatGoogle
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from dotenv import load_dotenv
load_dotenv()
from browser_use import Agent
llm = ChatGoogle(model='gemini-3-flash-preview', temperature=1.0)
def check_is_task_stopped():
async def _internal_check_is_task_stopped() -> bool:
if random.random() < 0.1:
print('[TASK STOPPER] Task is stopped')
return True
else:
print('[TASK STOPPER] Task is not stopped')
return False
return _internal_check_is_task_stopped
task = """
Go to https://browser-use.github.io/stress-tests/challenges/wufoo-style-form.html and complete the Wufoo-style form by filling in all required fields and submitting.
"""
agent = Agent(task=task, llm=llm, flash_mode=True, register_should_stop_callback=check_is_task_stopped(), max_actions_per_step=1)
async def main():
await agent.run(max_steps=30)
if __name__ == '__main__':
asyncio.run(main())