How to Debug LLM-Driven Android Automation Runs
Debugging LLM-driven Android automation can be challenging due to various failure modes. Effective debugging requires saving detailed traces of each step, including UI dumps, screenshots, and model actions. By organizing this information systematically, developers can more easily identify and resolve issues.
- ▪LLM-driven Android automation can fail due to incorrect label tapping, UI changes, or permission dialogs.
- ▪To debug effectively, it is essential to save a compact UI dump, screenshots, model actions, and logs for each step.
- ▪Common failure modes include NOT_FOUND, AMBIGUOUS, TIMEOUT, and SECURE_WINDOW, which should be categorized for better analysis.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3949216) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Elliot Gao Posted on May 26 • Originally published at handsets.dev How to Debug LLM-Driven Android Automation Runs #android #debugging #automation #ai LLM-driven Android automation fails in strange ways. The model may tap the wrong label. The screen may change between observation and action. A keyboard may cover the button. A permission dialog may appear. The app may still be loading. The UI dump may expose two identical "Continue" buttons.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).