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Add three per-user AI settings, all configured in the app (no new env vars), behind one migration (0198): - Response timeout (seconds). A per-user upstream timeout threaded onto the provider call. A local/self-hosted backend can take more than the legacy 60 s default to load a model on the first request, which timed the Coach out before the first token. Defaults to a generous ~180 s when unset; validated to 10–600 s. - True token streaming for the local OpenAI-compatible client. The client now POSTs with stream:true and parses the SSE delta chunks, emitting tokens as they arrive, with a per-idle-gap timeout instead of a whole-call ceiling and a graceful fallback to the buffered path when a server cannot stream. The Coach route runs the provider call inside the response stream behind a keepalive heartbeat so a reverse proxy no longer idle-drops the connection during model load or generation. Grounding, refusal, and sentinel-stripping still run on the complete reply before any token reaches the client. - Dedicated document-scan (Lab-OCR) provider. Off by default — the OCR path uses the main provider chain. When enabled, lab-report processing resolves a separate provider/model/key, with a hint when the chosen model is not vision-capable. The new key column is AES-256-GCM at rest and registered in the encrypted-columns registry and the rotation script. i18n: EN + DE translations for the new Settings → AI strings (other locales carry interim copies to keep locale parity green).
748 KiB
748 KiB