Look up OpenAI, Anthropic and Google model IDs and return, for each one, its retirement status, retirement date, days left and replacement. Use it before writing, changing or keeping a model ID in code, or when the user asks whether a model still works. To find the IDs inside a codebase use scan_project instead; to list everything retiring soon use upcoming_retirements. Read-only. Data comes from the providers' official deprecation pages, re-checked daily at aidriftline.com (fetched with a 4 s timeout, falling back to the copy in the package when offline). IDs not in the registry return status "unknown": no retirement is published for them, which does not prove the ID exists. Up to 100 IDs per call; extra IDs are ignored.

Scan a project folder for OpenAI, Anthropic and Google model IDs in code and config files and report the ones that are retired, retiring soon, deprecated or being re-routed, with file and line, most urgent first. Use it to audit a repository or before a release. For IDs you already know use check_models; for a time-based list use upcoming_retirements. Read-only: reads files on this machine and never changes them. Scans subfolders recursively, skips .git, node_modules, vendor, dist, build and similar folders, and files over 1 MB. Mentions in .md and .txt files are marked in_docs. Returns at most 200 findings (truncated: true when cut). Fails with an error if the path does not exist.

List OpenAI, Anthropic and Google models whose retirement or re-routing date falls in the next N days, soonest first, with replacement for each. Use it to answer "what is being retired soon?" or to plan migrations. It does not look at code: use scan_project for that, or check_models for specific IDs. Read-only. Models already past their date are not included (check_models reports those as retired). Anthropic "not before" dates are left out because those models are still active.