Worked on the browser-use/browser-use repository to enhance the reliability and control-flow robustness of batched action processing in backend automation. Focused on Python and asynchronous programming, the work improved error handling by preserving partial results when mid-batch failures occurred, ensuring accumulated outcomes remained visible even after errors. By re-raising critical exceptions such as InterruptedError and asyncio.CancelledError within the multi_act loop, the changes maintained correct stop and pause semantics for long-running workflows. These updates aligned error signaling with existing post-processing logic, resulting in more predictable retries and easier debugging, ultimately supporting safer and more maintainable automation pipelines in production environments.