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@github-actions github-actions released this 24 Jul 19:33

Cloud AI recognition no longer fails silently when a model runs out of output
budget — which reasoning models, increasingly common on OpenAI-compatible
services, hit routinely.

Fixed

  • Cloud AI recognition now detects a response that was cut off by the output
    token limit and says so, instead of silently writing a half-finished
    transcription into the note (or reporting the generic "returned no
    transcription"). Reasoning models made this reachable: their thinking tokens
    count against the same budget. (#10)

Changed

  • The per-page output budget for Cloud AI recognition is now 8192 tokens, up
    from 2048. It is a ceiling rather than an allocation, so unused headroom
    costs nothing; the old value left little room for models that reason before
    answering.
  • SELF_HOSTING.md documents using the Custom endpoint vendor with a hosted
    OpenAI-compatible service, with Hetzner Inference as a worked example —
    including the exact-case model name, whose absence returns a 403 that looks
    like an API-key failure.