AI models expire. Be Prepared.
Run it in any repo. It finds the models your code calls and flags the ones that are deprecated or retiring, with the date and the replacement.
Scanned ~/code/api-service · 6 models tracked
Install it, then run mm.
Install
Installs the mm command — a self-contained binary, no Node needed (60–120 MB, auto-detects your platform). Auto-updates in the background, signature-verified; MM_NO_AUTO_UPDATE=1 disables it.
brew install randomartifact/tap/modelstatus-cli · npm i -g @modelstatus/cli · try once with npx @modelstatus/cli statusOpen the dashboard
Run mm for the full terminal dashboard: it scans the current repo on launch, then you arrow through every model it calls, browse the registry, and see what's new — live.
Or just the check
Need it scriptable? mm status lists every model the repo calls, soonest retirement first. mm ci exits non-zero when something's on a clock — that's the one for pre-commit hooks and CI. No account.
Both pull the signed registry from cdn.llmstatus.ai once, then run offline. No account. Anonymous usage counts only — MM_NO_ANALYTICS=1 turns them off.
Run mm for the full dashboard.
Type mm to open it. Arrow through every model the repo calls, press f to fix one with a diff preview, and watch the ●◐▲✕ counts update as you go. The Here and What's New tabs read straight off the signed registry, no account, works offline.
/ search.
mm fix swaps in the replacements.
Finding dying models is half the job. One command rewrites them to the registry's replacement, in place.
- Only the id text changes. Quotes, formatting, the rest of the line: byte-identical.
- Boundary-safe:
gpt-4can't rewrite insidegpt-4oorgpt-4-tuned. - Chains through dying replacements to the first live model.
--dry-runpreviews,--jsonfor tooling. In the TUI, pressf.
The GitHub App does the same on pull requests: a failing check grows an Open fix PR button, and one click opens this — the diff in the body, the commit verified, re-checked green by the same scan.
Retiring soon
Live from the registry — it refreshes every 6 hours from models.dev, OpenRouter, and provider APIs.
On a clock
- Gemini Embedding 001 Google 2026-07-14 in 4d
- GPT-5 Chat (latest) OpenAI 2026-07-23 in 13d
- GPT-5 Codex OpenAI 2026-07-23 in 13d
- Claude Opus 4.1 Anthropic 2026-08-05 in 26d
- GPT-5.3 Chat Microsoft 2026-08-10 in 31d
- GPT-5.2 Chat Microsoft 2026-08-10 in 31d
- Amazon Nova Premier Amazon 2026-09-14 in 66d
- GPT-3.5 Turbo Instruct OpenAI 2026-09-28 in 80d
Just released
No AI provider ships a model-lifecycle feed. We do — open the radar on your phone, or subscribe: RSS · JSON · retirements only
Check it on every pull request.
Add a model-lifecycle check to every PR. Two options, and the difference is whether your source code leaves your runners.
Runs in your own CI; your source never leaves your runners, only model IDs go out. Inline PR annotations and a pass/fail gate.
One click, no workflow YAML or secrets to manage. We scan each PR on our servers (your code is sent to us; use the CI option if that's a dealbreaker) and post a Check Run plus a review comment. A button on the check opens a fix PR that swaps in the replacements.
The CLI is free. Cloud is $5 a year.
Plans cover the cloud inventory and alerts. The CLI itself is always free.
- Everything in the terminal, free, no account
- 1 project, up to 15 tracked usages
- Live model lifecycle registry
- Email + in-app retirement alerts
- Unlimited projects & usages
- Slack · Discord · SMS · webhook alerts
- CLI cloud sync + CI drift dashboard
- Custom lead times (90 / 30 / 7 / 1 day)
- Full REST API
- Everything in Pro
- All future features
- Founder support
- No renewals
Sign in and it emails you before a retirement.
A free account stores one project's inventory (up to 15 usages) and emails you before a model retires. Pro lifts the caps and adds Slack, Discord, SMS, webhooks, CI drift, and the API.
| Health | Model | Project | Env | Where used | Retires |
|---|---|---|---|---|---|
| ▲ Retiring soon | GGGemini Embedding 001 | api-service | prod | workers/classify.py:88 | 2026-07-14in 4d |
| ✕ Retired | MELlama 3.1 405B | rag-pipeline | prod | rag/legacy_index.py:12 | 2026-07-073d ago |
| ◑ Deprecating | OAOpenAI o1 | support-bot | prod | bot/agent/handler.ts:121 | 2026-10-23in 4mo |
| ● Healthy | ANClaude Opus 4.7 | api-service | prod | services/answer.go:215 | 2027-04-16in 9mo |
| ● Healthy | AMGPT-5.5 | rag-pipeline | prod | rag/extract.py:71 | — |