Show HN: AIOpt – local-only guardrail for LLM token/cost regressions
psi0716 Tuesday, February 10, 2026
Hi HN — I built this after repeatedly seeing LLM cost regressions slip through review because nothing breaks; it’s just token drift and then a surprise bill.
AIOpt is a local-only CLI + CI gate that: - uses observed usage as a baseline (usage.jsonl/csv) - estimates candidate deltas (model/context/output/retry/traffic) - emits deterministic artifacts + SARIF for GitHub Code Scanning
No server, no uploads.
I’d really appreciate feedback on what would make this more useful in real PR review: 1) What signals/UX make token/cost regressions actionable (beyond “it’s higher”)? 2) Any must-have integrations you’d expect?
Summary
The article discusses a collaborative project called aiopt, which focuses on developing efficient artificial intelligence optimization techniques. The project aims to explore novel methods for improving the performance and scalability of AI systems.
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