7 commits

Author	SHA1	Message	Date
Daniel	025290d64a	feat: retire Learning Hub ... My Resources generates better slides than Learning Hub ever did — a typed deck the model fills in, rendered by python-pptx with fit-to-slide text, figures, a vision review and themes, against Learning Hub's markdown-through-pandoc — and the articles and quizzes now live in the quiz app. Keeping a second, weaker generator and a whole CMS beside it was not earning its maintenance. Removed: three routers, the Learning Hub and Content Manager tabs, their components and frontend modules, the five database tables, the WebDAV browser, the content embedding column and its vector index. Content was exported first — every article as markdown plus a full SQL dump of all five tables — to ops-backups/learning-hub-export-*. That export is the restore path; the migration's down() can recreate the shape but never the rows, and says so. Two things this simplifies rather than merely deletes: generated_image_links existed only to record which published content an image appeared in, and it was the sole reason a generated image could be read by someone who did not make it. Images are now owner-only — the visibility rule is one WHERE clause instead of a join across two tables and a published flag. embeddings.js keeps the model discovery the admin panel uses and loses searchSimilar and generateContentEmbedding, which queried a table that no longer exists. Kept deliberately: Nextcloud connect, disconnect and export, which are how a generated note reaches a real filesystem and have nothing to do with Learning Hub; learningRetrieval, which despite its name is the clinical corpus search My Resources depends on; and the pandoc reference deck, still the fallback when the python renderer fails, moved from assets/learning to assets/deck now that the old name misleads. Tests: four Learning-Hub-only files removed, and the individual cases inside shared files that asserted its behaviour. Where a test used a Learning endpoint only as a convenient example — the account-boundary token test, the policy matrix — it now uses one that still exists, so the property it proves is unchanged. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Dv6sqaY6Vq3ChZHMem3cnU	2026-09-12 20:14:20 +02:00
Daniel	03621752e8	feat: image fallback chains for every workflow, and a library worth looking at ... **Fallbacks.** One image model meant a refusal, a rate limit or a model the gateway had since dropped ended as a missing picture. Every workflow now tries its model, then each fallback in order, stopping at the first that produces an image. Primary plus two, capped: each hop is a paid request, and a chain long enough to need a cap is long enough to surprise someone. My Resources previously had no fallback at all — only the Clinical Assistant did, and only one. That is backwards: a missing figure is most visible in a deck, where it leaves a hole in a slide. The retry rule is now a classifier that says *why*, rather than a boolean. Transient faults, a 404 for a model the gateway does not have, and a content refusal all move to the next model — a refusal because policy is a vendor decision, not a fact about the request. 401/403 stop immediately (one gateway, one set of credentials, the next model fails identically), as do 413 and any other 4xx, which are malformed everywhere. Refusals are recognised from the message: no provider sends a machine-readable reason and the status varies. Each hop re-leases the job, so a chain cannot outlive its claim and let a second worker repeat the same paid work, and the row records the model actually being paid for so a picture made by the third model is not attributed to the first. The old singular `fallback_image_model` is still read, so an existing configuration keeps working without anyone re-entering it. **Library.** Documents/Images tabs in My Resources, with a real grid: fixed aspect tiles so the rows line up whatever shape the pictures are, a source badge on the picture, two-line prompt, hover lift, shimmer skeletons while thumbnails land, and a lightbox that closes on Escape or the backdrop and restores focus. Actions are hidden on hover only behind `@media (hover:hover)` — hiding delete behind :hover would put it out of reach on touch and keyboard. Downloads go through privateImageBlob rather than a bare `<a download href>`: a mobile client's session is a bearer token an anchor cannot send, and these assets are served no-store on purpose. The gallery lives in My Resources only. Assistant images appear in it, which was the point; the assistant page does not grow a gallery of its own, and a test asserts no assistant module lists the endpoint. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Dv6sqaY6Vq3ChZHMem3cnU	2026-09-12 14:53:04 +02:00
Daniel	259b4858be	feat: an image library — every picture this account has made ... A figure outlives the deck it was drawn for: the deck gets replaced, the diagram is still good. Until now a generated image could only be seen in the resource it was made for, and there was no way to find one again or to delete it. Library → Images is a grid of every finished image the account owns, across all three workflows, newest first. GET /api/generated-images is scoped by owner_id in the statement rather than filtered after, returns only finished jobs — an unfinished one is a broken frame in a gallery — and pages by keyset, because a gallery that grows while you scroll repeats or skips rows under OFFSET. Most of this already existed. Thumbnails were already rendered at 256 and 640 by sharp and already served by ?w=, with their own checksum so the client's tamper check passes on a derived copy; hydrateImage already handles auth, the account boundary and caching. The tiles ask for the 256px preview, so thirty of them cost a few kB each rather than thirty full-size downloads, and the prompt is decrypted for the caption because it is the only human-readable label an image has. Deleting needed new work. The storage interface had no remove at all, so a delete that dropped the row would have left the object and both previews in the bucket — paid for, and still readable by anything with credentials. Storage now removes all three keys, and the bytes go before the row: a row pointing at a missing object is a broken image in a gallery, while an object without its row is only wasted space, and unreachable storage refuses the delete outright rather than reporting a success that left the picture behind. THUMB_WIDTHS now has one definition, in generatedImageStorage. Two copies drift, and the drift that matters is a width that gets written and never deleted. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Dv6sqaY6Vq3ChZHMem3cnU	2026-09-12 14:36:30 +02:00
Daniel	1270899dcb	feat: PubMed search for My Resources, and an image tool that actually fires ... PubMed joins web search as an optional source for a generated resource: a literature search on the topic, with abstracts, cited by PMID in References. Off by default, admin-enabled, with its own optional API key (NCBI raises the rate limit from 3/sec to 10/sec; it works without one). Neither search is a tool any more, and that is the point. Offering them as function calls meant the model decided whether to search, and with a prompt ending "Output ONLY Pandoc markdown" it decided not to — every time, with and without corpus grounding, no matter how the tool description was worded. Calling callAI with the tool directly produced a correct pubmed_search call, so the plumbing was never the problem. The search only ever needed the topic, and the route knows the topic before it calls the model, so both searches now run up front and their results go into the prompt as findings, exactly the way corpus excerpts do. Ticking the box now means the search happened. Verified live against deepseek-v4-flash: 30 corpus excerpts and 6 PubMed results, and a References slide carrying both the library sources and four real PMIDs (29562151, 38506440, 35721052, 28814254). Three fixes to illustration, which had never once fired: - The dispatch call had been lost in a refactor. The tool was still offered, the model still called it, and the call was dropped, so no job was ever enqueued. - imageContext was passed as a bare topic string where dispatch expects { request, history }, which made the bound request undefined. - The prompt never mentioned the tool existed while explicitly demanding only markdown — the same suppression that killed the searches. It now says an illustration is available and that calling it is not a violation of that rule. my_resources is its own image workflow rather than a reuse of learning_hub, because generated_image_links only accepts learning_hub assets, and that is exactly the barrier that keeps a private illustration out of published content. The illustration renders in the panel, rather than a toast pointing at an image history this feature does not have. Verified end to end: job queued, rendered, and the asset served to its owner as a correctly labelled subglottic-anatomy teaching diagram. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Dv6sqaY6Vq3ChZHMem3cnU	2026-09-11 16:47:08 +02:00
Daniel	2f7233f317	perf: store real image previews in MinIO, generated at creation and on demand ... Gallery tiles are 56px but were downloading the full ~280kB original. Previews are now rendered with sharp and stored beside the originals in the same MinIO bucket under a thumbs/ prefix, so nothing about credentials, lifecycle or backup changes. Measured on live assets: 216-294kB originals become 13-19kB at 256px, about 16x smaller; 640px is about 4x. Both paths, as asked: - Rendered when a job completes, so the first viewer never waits for a resize. A preview failure never unmakes a finished job. - Rendered on demand for anything that has none — the existing 26 images work immediately with no backfill required, and the result is stored for next time. Boundaries that matter more than the speed: - Only 256 and 640 are honoured. An open width parameter would let a caller drive arbitrary resizes. - Permission is checked against the ORIGINAL before a preview is served, so a preview can never widen who can see an image. - Previews carry their own SHA-256 and owner headers, because the client verifies both on every asset; sending the original's checksum would be rejected as tampering, which is that check working correctly. - Still private, no-store. The client asset pattern was widened to exactly ?w=256 and ?w=640 and nothing else. Client-side downscaling stays as the fallback when a preview cannot be produced. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_018e1PLqrKgAM9jQhFKRnbLd	2026-09-10 06:39:30 +02:00
Daniel	73955dd5f9	feat: model selection in chat (composer pill + popup image model), deterministic image dispatch when the model writes text instead of calling the tool, markdown-rendered email, OWUI stacked composer, left mobile drawer, Go back in topbar, DeepL removed, image history inside the Create image popup	2026-09-09 02:55:28 +02:00
Daniel	6be2d1375a	feat: integrate durable image jobs/private assets into current core	2026-09-07 16:53:42 +02:00