Know when AI breaks.
Monitoring for AI apps on Hugging Face. Silent crashes, stuck requests, code freezes. A clear signed report on every PR.
Hugging Face is where AI gets deployed.
Think GitHub for AI. Hugging Face hosts the model, runs your app on their GPUs, and serves it to users. That convenience is also the catch: when your app crashes inside their infrastructure, you don't find out. LookingEye is the only tool that watches at that layer.
- 1M+
- AI models hosted
- 500K+
- Live AI apps
- Free GPUs
- HF runs them all
Three ways your AI app fails that you'd never know about.
01 / 03Your app dies but looks alive
Hugging Face starts your AI app, then the GPU worker quietly crashes. Users see a spinning wheel forever. Your dashboard reports everything as fine. LookingEye catches this in seconds, and tells you exactly which requests broke.
02 / 03Compute burns, output never arrives
A request comes in, eats up your GPU time, and never produces anything. Hugging Face counts it against your quota anyway. LookingEye counts how often this happens, on which requests, and on which version of your code.
03 / 03Your new code introduces a freeze
A code change accidentally locks up under load, happens often with async Python and Gradio. You only find out after your users complain. LookingEye catches the freeze on the pull request, before it ever reaches production.
How to turn it on9 lines in your repo. Starts in “warn me” mode. Flip one switch when you're ready to enforce.
# .lookingeye.yml space: your-org/your-space runtime: zerogpu gate: advisory # advisory | required report: signed: true warning_codes: all notify: pr_comment: true
One engine. Two ways to pay.
PR-comment bot, 30 days of verdict history, Slack and email alerts. Team plan at $99/mo for multi-seat.
See Solo & TeamSigned bundles, tamper-evident log, model cards. Pegged to OMB M-26-04, effective March 2026.