Declines self-harm and harm-to-others requests by intent while answering
toxicology; dense + BM25 search fused by RRF over aria_medical_v2 with
rerank-v5.0-fast; transient retries, Judge JSON mode, startup warm-up;
citations show printed page numbers.
Passages are numbered end to end so every claim is cited inline; follow-up
questions are resolved against the conversation; chapter bibliographies and
index pages are dropped before reranking; the answer badge reports how well
grounded an answer is rather than claiming a GRADE certainty. Dependencies
are pinned.
Fix stray markup in answers; report retrieval failures honestly
Two fixes from the recent outage and the rendering reports.
Renderer: thematic breaks (---) printed as a row of hyphens, backslash
escapes printed the backslash (\*All doses...), and <br> emitted inside
table cells printed the tag. All three now render properly, stray inline
tags are dropped while keeping their text, and characters Spectral cannot
draw — subscripts, narrow no-break space, non-breaking hyphen — are folded
to plain equivalents so no tofu boxes land mid-sentence. "eGFR <30" and
existing bold/italic/tables/citations are unaffected.
Backend: a dead vector store reported itself as "failed to reach the
language model", pointing diagnosis at a healthy dependency; it now names
the reference library. An empty retrieval raises instead of handing the
generator an empty context to answer from memory. /api/health probes the
collection and returns 503 unless it is reachable, present and non-empty,
rather than reporting "ok" through a total outage. The dev-only sample
answers can no…
Fix Groq model outage; make provider failures a distinct error state
Groq decommissioned llama-3.3-70b-versatile, which every agent shared via a
single hardcoded get_llm(). Each query returned a 404 that the API then
streamed to the browser as answer prose, so the UI decorated a provider
error with a "MODERATE CERTAINTY" evidence badge and a "grounded reply"
byline.
Model IDs are now centralised in llm/config.py, resolved per role from
ARIA_*_MODEL env vars with live defaults verified against Groq's model list
(generator openai/gpt-oss-120b, everything else openai/gpt-oss-20b). No
Space secrets are required — the defaults work as-is.
Provider failures get their own type and their own SSE `error` event that
carries no confidence, no evidence tier and no citations, and never travels
on the `token` channel the UI renders as an answer. An unreachable guardrail
no longer defaults to "in scope", and a judge that fails or returns
unparseable JSON yields confidence=null, shown as "Not adjudicated", instead
of a placeholder 0.5 on a real gauge.
A startup pref…
