How a model upgrade silently broke our extraction prompt (and how we caught it)
A recent upgrade from GPT-4o to GPT-4.1 caused a silent regression in a customer support ticket summarization tool. The model change led to incorrect urgency tagging due to a shift in output format, which went unnoticed during testing. To prevent such issues, implementing a robust testing suite for model outputs is recommended.
- ▪The upgrade from GPT-4o to GPT-4.1 resulted in incorrect urgency tagging for customer support tickets.
- ▪The issue arose because the output format changed without causing an error, leading to default values being used.
- ▪A comprehensive test suite is suggested to catch such silent regressions before they affect customers.
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 === 3924736) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } shaun vd Posted on May 23 • Originally published at promptfork.online How a model upgrade silently broke our extraction prompt (and how we caught it) #llm #ai #testing #devops A friend's product summarizes customer support tickets using a fine-tuned LLM prompt. It worked perfectly on GPT-4o for six months. Then OpenAI deprecated 4o, the team migrated to GPT-4.1, ran a smoke test in the playground, said "looks fine," and shipped.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
Discussion
0 commentsMore from DEV.to (Top)
