mirror of
https://github.com/MBombeck/HealthLog.git
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Marc-André Bombeck
5ab1fb782e
A fixed preference list goes stale at every retirement: when GPT-5.5 retired for ChatGPT sign-in on 2026-10-14, every model the shipped list named was refused and Codex answered 503 until a release changed it. The working model also sat in one slot for the whole process, so two sign-ins on different plans overwrote each other's model and the vision gate read whichever had answered last. The client now reads the models the account is offered the way the Codex CLI does (GET /backend-api/codex/models?client_version=..., same sign-in as the responses call; shape from codex-rs/protocol/src/openai_models.rs) and walks: CODEX_MODEL first; our preference order kept to what is offered; the other offered models in the list's priority order, leaving out hidden, specialist and frontier-tier entries; the rest of our order last, so the walk never holds fewer models than before. With CODEX_MODEL_FALLBACK_CHAIN set the order is the operator's and the list is not read. The list is a hint, never a gate. The read goes through safeFetch with a 5 s bound and a 4 MiB cap, is shared by concurrent requests, cached per sign-in for an hour, and a failed read waits ten minutes. Any failure leaves the static walk, one ai.codex.models_unreadable warning per sign-in reports it, and each request that builds the walk annotates a pinned codex.models.* shape. The working model, refused models and the list are kept per stored credential (a person's connection, or the operator-shared central one), bounded by TTL and a 1000-entry LRU, with a digest of the account id so a credential reconnected to another account starts empty. A model the list offered that then answers model_not_found goes to the back of that sign-in's line for six hours. When the list names a model's input modalities, the Codex vision gate reads them; otherwise the model family decides, as before. Refs #1287
1013 lines
31 KiB
JSON
1013 lines
31 KiB
JSON
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