Files
wehub-resource-sync 4cd2d4af2b
Test Browser Use CLI Install / uv pip install (macos-latest) (push) Waiting to run
Test Browser Use CLI Install / uv pip install (windows-latest) (push) Waiting to run
Test Browser Use CLI Install / uv pip install (ubuntu-latest) (push) Failing after 1s
Test Browser Use CLI Install / uvx browser-use from local wheel (push) Failing after 1s
Test Browser Use CLI Install / uvx browser-use[cli] from PyPI (push) Failing after 1s
package / pip-install-on-macos-latest-py-3.11 (push) Has been skipped
package / pip-install-on-macos-latest-py-3.13 (push) Has been skipped
package / pip-install-on-ubuntu-latest-py-3.11 (push) Has been skipped
package / pip-install-on-windows-latest-py-3.13 (push) Has been skipped
cloud_evals / trigger_cloud_eval_image_build (push) Failing after 1s
docker / build_publish_image (push) Failing after 1s
Test Browser Use CLI Install / browser-use skill sync (push) Failing after 1s
lint / code-style (push) Failing after 0s
lint / type-checker (push) Failing after 1s
package / pip-build (push) Failing after 1s
lint / syntax-errors (push) Failing after 3s
package / pip-install-on-ubuntu-latest-py-3.13 (push) Has been skipped
package / pip-install-on-windows-latest-py-3.11 (push) Has been skipped
test / ${{ matrix.test_filename }} (push) Has been skipped
test / evaluate-tasks (push) Has been skipped
test / setup-chromium (push) Failing after 2s
test / find_tests (push) Failing after 2s
chore: import upstream snapshot with attribution
2026-07-13 12:02:32 +08:00

26 lines
750 B
Python

import asyncio
from pathlib import Path
from browser_use import Agent, Browser, ChatOpenAI
# NOTE: To use this example, install imageio[ffmpeg], e.g. with uv pip install "browser-use[video]"
async def main():
browser_session = Browser(record_video_dir=Path('./tmp/recordings'))
agent = Agent(
task='Go to github.com/trending then navigate to the first trending repository and report how many commits it has.',
llm=ChatOpenAI(model='gpt-4.1-mini'),
browser_session=browser_session,
)
await agent.run(max_steps=5)
# The video will be saved automatically when the agent finishes and the session closes.
print('Agent run finished. Check the ./tmp/recordings directory for the video.')
if __name__ == '__main__':
asyncio.run(main())