4 commits

Author	SHA1	Message	Date
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	60556aae28	config: the clinical assistant answers from 12 excerpts ... It asked for 8 while the reranker capped everything at 12, so 8 is what it ever actually received — and its answers were judged good on that. Now that the cap defers to the caller, 12 is the number worth asking for: it is what the corpus has been tuned against, and the reranker still decides which 12. Verified live: the assistant returns 12 sources. Also records PubMed as a search source of its own rather than a provider option under web search. It returns structured records — title, journal, year, PMID, abstract — so a reference can be exact instead of reconstructed from a page title, and a model should be able to reach for "the literature" distinctly from "the web". Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Dv6sqaY6Vq3ChZHMem3cnU	2026-09-11 16:13:55 +02:00
Daniel	efa84ac0e6	docs: one knob per feature, and record how many excerpts each gets ... Answering a fair question: needing two settings in two repositories to agree before one number changes is not a design anyone chose. It is two codebases each assuming it owned the decision, and the symptom was a caller asking for 30 excerpts and silently receiving 12. rerank_results computes min(reranker_top_k or limit, limit), so RERANKER_TOP_K=0 reads as "however many the caller asked for". The app setting is now the only knob. Verified: Learning asks 30 and receives 30, the assistant asks 8 and receives 8. Zero costs nothing extra — the reranker is billed on documents sent, which is candidate_limit and unchanged; top_n only decides how many come back. A real number there is now what it should always have been: an optional hard ceiling for when someone deliberately wants one, not an invisible default. docs/retrieval-tuning.md covers the per-feature budgets, why the assistant's are so much smaller than Learning's, that My Resources deliberately shares the Learning budget, how to read what actually happened from the MCP logs and the grounding field, and why raising these is not free. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Dv6sqaY6Vq3ChZHMem3cnU	2026-09-11 15:28:01 +02:00
Daniel	fac8757ce8	feat: My Resources has a menu, a library and three downloads ... The pathway existed but was reachable only by API. It now has a tab of its own next to the Learning Hub — related, not the same thing, and sitting together is how someone discovers the difference — visible to every signed-in user with no role gate in the markup. Generate a deck or an article, see everything you have made, download each as PowerPoint, Word or PDF, delete what you no longer want. The screen says "Private to you" and "Nobody else sees these", because the distinction from published Learning content is the thing a person needs to understand before typing a patient's condition into it. Downloads are fetched rather than linked: an <a href> cannot carry the Authorization header. The blob is saved under the filename the server chose and the object URL is revoked afterwards. Resource titles come from a model, so rows are built as elements and a title is only ever assigned to textContent. The e2e stack now joins danvics_convert too. It could previously reach only Postgres and Redis, so a PDF download failed there in a way production would not — which did at least prove the degradation path works: with Gotenberg unreachable the response is "PDF conversion is unavailable right now. PowerPoint and Word still work", and the other two formats download unaffected. Verified in a browser as an ordinary user: the tab appears and opens, the form swaps slide count for word count when the format changes, the library lists their own work, and pptx, docx and pdf all download with sensible filenames (36360, 13285 and 68310 bytes). Also documents retrieval sizing in docs/retrieval-tuning.md — the per-feature budgets, and RERANKER_TOP_K, which caps all of them and had until now appeared in no configuration file at all. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Dv6sqaY6Vq3ChZHMem3cnU	2026-09-11 15:00:19 +02:00