The narrative read route narrowed every non-English locale to German, so a
French, Spanish, Italian or Polish account read the German narrative row and
warmed it from the German prompt body. Carry the resolved locale through
instead: the row is keyed (user, period, locale) across the full UI locale
union, and the four locales now compose the English instruction body with
their language named and the locale's own reply-language directive appended
last. The German and English prompts are unchanged apart from the version
string.
The nightly warm keeps the user's stored locale for the same reason — it has
to write the key the read route reads — and the coach and dashboard narrative
recalls read that same key. Coach memory stays de/en: it is model-facing
context, not user-facing prose, so the four locales compose and key English
rather than German.
NARRATIVE_PROMPT_VERSION 1.13.0 -> 1.14.0.
The parity test joined raw fragments, which no longer matches now that
the English output clause carries a language token; it substitutes the
expected name from a literal map instead of from the module under test.
Adds the contract test: which body each locale composes, that its own
language is named, that its own translated directive is present and
last, that no German reaches a non-German prompt, and that no two
locales collapse to the same prompt. What it cannot show - whether the
prose reads well in the four languages - is stated in the file.
getBaseSystemPrompt collapsed every non-English locale to the German
instruction body, whose output clause asks for a German assessment. A
French, Spanish, Italian or Polish reader therefore received German
prose on any surface that reached this prompt.
Those four locales now compose the English instruction body with their
language named in the output clause, and the locale's own reply-language
directive - already carried in production by the native insights and
briefing prompts - appended last. German and English compose exactly as
before, byte for byte.
Adds the shared output-language helper the remaining prompt modules
adopt, replacing the scattered en-or-else-German binaries.
Extend the dashboard's RSC server-prefetch pattern to three more route roots
so their above-the-fold content paints populated on first load instead of
flashing a shell that fills in on mount.
Each route gains a thin RSC wrapper that runs the same cached read its API
route uses, dehydrates the result under the exact client query key, and hands
it to the client leaf through a HydrationBoundary. Every wrapper fails soft to
today's client-fetch path on any error and honours the DASHBOARD_SSR_PREFETCH
kill-switch the e2e server sets.
- /insights: prefetch the dashboard snapshot — the same locale-keyed cell the
dashboard warms, resolved once server-side so the key matches by
construction. The AI briefing and the heavy analytics aggregations stay
client-lazy (the briefing must never trigger generation; a cold analytics
read would trade FCP for TTFB).
- /medications: prefetch the medications list through the shared
caches.medications cell (extracted to src/lib/medications/list-read.ts). The
list cell keeps refetchOnMount: "always" — a cross-device take/skip produces
no client mutation event, so the mount refetch is a correctness gate; the
prefetch removes the initial skeleton flash without dropping that guarantee.
- /coach: prefetch the nudge status (extracted to
src/lib/ai/coach/nudge-status.ts) so the auto-open-most-recent decision is
ready at hydrate, collapsing the one sequential waterfall. Only runs when the
Coach surface is reachable; the streaming conversation is never warmed.
Add per-route tests pinning server-key === client-key, JSON wire-shape
round-trip, and the fail-soft / module-gate paths. Repoint the source-reading
insights, take-all-due, and Coach gate-cascade tests at the client leaves.
The Coach snapshot read raw prisma.workout rows while GET /api/workouts
runs pickCanonicalWorkoutRows, so a dual-source user (e.g. Apple Watch +
Withings recording the same run) got the session double-counted in the
Coach prompt and the get_workouts MCP tool. Route the snapshot's workout
block through the same picker, keyed off the user's own sourcePriorityJson.
HRV resolves SDNN only on every MCP/coach path, so an Oura/Polar/WHOOP-only
account (RMSSD, not SDNN) saw a false empty HRV block even though the app's
HRV sub-page already unions both flavours. The coach snapshot now queries
both types; the MCP rich reads (compare_metric, get_metric_baseline,
detect_changepoints) fall back to RMSSD when the user has zero SDNN rows,
mirroring the app's primary-then-fallback rule.
Also aligns surfaces.mcp as a real gate: a metric-status id the signal
registry marks mcp:false (cardio recovery, wrist temperature, sleep score,
...) no longer resolves through the rich-read registry path, closing a
contract gap between the two registries (no data was actually exposed
before this, but a future mcp:false signal without this guard would have
leaked silently).
The remaining day-edge tz mismatch between the rollup-backed rich reads
and the user-tz coach timelines is left documented rather than patched:
the underlying rollup buckets are themselves written on UTC calendar
boundaries, so shifting only the read-side window would trade one
one-sided inconsistency for another without fixing the root cause.
The asc+take(20000) window-cap bug (fixed on the correlations route
alone) and the mixed-grain toDailyMeans bug (fixed on three of four
readers) both survived on the Coach get_correlations tool, the
per-metric assessment card, and the period narrative. Dense accounts
saw the cap drop the newest rows on the coach/card readers and drop
the CURRENT period on the narrative — backwards for a recent-window
and a current-vs-prior surface respectively; the narrative's own local
toDailyMeans twin also averaged sleep stage-segments and blended
per-sample step chunks with drained daily totals instead of summing.
Hoists the fetch + grain resolution into
fetchMeasurementWindowSeries/fetchMoodWindowSeries
(correlation-channel-series.ts) — desc+cap+resort, full column select
for buildMeasurementDailySeries's per-type grain — and routes the
route, the coach tool, the per-metric card, and the period narrative
through it, deleting every local copy.
Coach conversation history was capped at the rail's first ~20 threads and
searched only that loaded page. The rail and the standalone conversations
page now walk the caller's entire history via cursor pagination
(useInfiniteQuery + a scroll sentinel), and search runs server-side against
the conversation title (GET /api/insights/chat?q=) instead of filtering an
already-truncated client array.
Also extends the "automatic screening" info line in the metric catalog to
name the labs "what changed since your last panel" card alongside the
rhythm/breathing/health-status watchdogs it already covered — it un-mounts
the same way when there's nothing to flag and was missing from the copy.
Four data-correctness fixes in the same class as the workouts-list
ordering bug (05f80ad37):
- GET /api/measurements groupBy=day: the raw-row scan ordered oldest
first and sliced to `limit` before bucketing, so a long history never
surfaced its recent days. Reads newest-first now. The per-day sum
also ran over every source unfiltered — an Apple Health + Withings
write for the same day doubled the total. Routes through
pickCanonicalSourceRows first, matching the rollup tile's collapse.
- PR detection's cumulative-day picker summed every row on a calendar
day regardless of source (false "record" days) and bucketed on the
UTC calendar day instead of the user's timezone. Rewritten to
source-collapse before summing and bucket on the user's IANA zone,
reading through the worker's injected Prisma client so the existing
dependency-injection contract for tests stays intact.
- The correlation-discovery matrix (the insights route, the per-metric
assessment card, and the Coach's get_correlations tool — three
independent copies of the same fetch) averaged cumulative types
(steps, daylight) and sleep across mismatched grains: per-sample
chunk means blended with drained daily totals, and sleep averaged
per-stage segment durations instead of summing a night's total.
Hoisted the grain resolution into one shared
buildMeasurementDailySeries helper (source-collapsed day-sum for
cumulative types, per-night reconstruction for sleep, mean
unchanged for spot vitals) so all three surfaces agree.
Regression tests cover newest-first ordering, cross-source collapse
matching the rollup, PR no-double-count, and the shared grain helper.
Fold the ECG silo into the insights narrative without crossing the
non-diagnostic line — the app reports the recording device's own verdict
and the existence/count of recordings, never an interpretation of the trace.
- Feature snapshot: a bounded, device-verdict-only ECG descriptor (recording
count, device-verdict distribution, latest recorded-days-ago + average HR)
flows into the nightly briefing prompt. The waveform never enters the
payload; the grounding gate admits the pre-computed counts so a
device-attributed sentence stays grounded. A prompt rule (EN + DE)
constrains any mention to the device's attribution and forbids reading
morphology, measuring intervals, or emitting a verdict of the app's own.
- Pulse cross-link: a device-attributed pointer from the resting-HR / pulse
page into the ECG viewer, un-mounting when no recordings exist.
- Daily rail: an ecg_new_recording item surfaces once when a recording landed
within the last day — calm, info-level, deep-linking the viewer. Gated on
the insights module; the DTO carries no waveform.
- i18n across all six locales; non-diagnostic disclaimer copy per language.
Replace the scalar document_id discriminator on a coach conversation with a
CoachConversationDocument join table and a sticky documentScoped flag, so a
conversation can be grounded on several stored documents at once while the
prompt-injection fence stays intact across the data-model change.
The fence is re-established at both enforcement points, fail-closed:
- Client: resolveCoachSendTarget routes any turn on a fenced conversation (or a
fresh chat with staged attachments) to the new /api/insights/chat/fenced
endpoint; the fenced body is strict and never carries scope, guided-question,
or prefill hints.
- Server: the tool route fetches with documentScoped:false AND 404s when the
fetched row still carries an attachment (flag/join drift), emitting a
fence_drift audit alarm. Document text now enters an LLM prompt in exactly one
code path — the fenced pipeline — with no tools and no health snapshot; a
module-graph test pins that the tool loop is unreachable from it.
The fenced turn fences each document separately with a server-built, scrubbed
header line (title and filename are untrusted text), runs a per-document egress
consent check on the single picked provider, and grounds numerically over the
live attachment union only. Attachments are capped at five documents and 192 KB
of combined text with honest truncation.
Attach and detach ride dedicated endpoints: attaching validates the document is
owned, live, indexed, and within cap, then flips the conversation fenced (the
one legal, privilege-reducing transition, audit-logged); detaching removes the
document but never clears the flag. The document-sheet chat keeps its public
wire contract and shares the same fenced pipeline over the join.
Migration 0245 adds the join table and the flag, backfills every legacy
single-document chat into a one-attachment fenced conversation, and drops the
scalar column in the same transaction — no dual-truth window.
Asking the Coach about a document opened a separate, half-finished chat panel
that never appeared in Coach history. The bespoke drawer is gone; a document
conversation now opens the real Coach view, appears in the Coach list with a
document badge and a "Chatting about: <title>" note, and is read back through
the same history rail as any other thread.
The prompt-injection fence is unchanged and stays server-side. A document turn
is still sent through the hardened fenced endpoint (no tools, no health
snapshot, grounded in the document text only); the coach tool route continues
to fetch with documentId null, so a document-scoped conversation can never be
continued through the tool loop even from a hostile client. Only the surface
moved into the Coach; the boundary did not.
The relaxed conversation-list and detail filters drop only the documentId
predicate — userId scoping is unchanged, so a document thread is still visible
only to its owner. CoachConversationDTO gains documentId + documentTitle
(server-derived, title/filename only); no schema change (documentId exists
since 0230). OpenAPI regenerated.
Three CONFIRMED findings from the campaign's feature-wiring audit + structural
verification:
- Sleep rendered nothing in the doctor-report PDF: the sleep section is
default-on and the data layer reconstructs per-night SLEEP_DURATION rows, but
DOCTOR_REPORT_VITAL_TYPES omitted SLEEP_DURATION, so the vitals table showed
nothing (FHIR already emitted it). Added it to the allowlist with a
minutes-to-hours conversion; corrected the stale 'intentionally excluded'
comment.
- Glucose had no doctor-report section toggle — it rendered whenever the global
glucose module was on, with no report-level privacy control. The toggle
actually already existed in the UI (with i18n) but was dead because the prefs
fold dropped the key. Wired it end to end (glucose added to the prefs Zod
schema + defaults, default-on to preserve behaviour; gated the render loop +
the query). Also fixed a grouped-vs-flat prefs mis-detection: 'glucose' in
GROUPED_SECTION_KEYS would have flagged flat blobs (incl. EMPTY prefs) as
grouped and defaulted them all on. No migration (prefs is a JSON blob).
- environment fed the coach with no exclusion: MODULE_EXCLUDED_SOURCES omitted
it, so module-off still leaked audio_env/audio_headphone/audio_event/daylight/
skin_temp to the snapshot. Added, scoped exactly to the environment cluster's
five sources.
Regression test per fix.
The per-metric insight assessments opened on the current value and read as
a data readout, while the overview texts lead with the day's verdict and
land the warm, motivating tone. Diagnosis (campaign insights-copy audit +
verification): identical warm persona/contract fragments, but the
per-metric USER prompt instructed number-first while the overview
instructed verdict-first, and the opener-hint rotation was wired into
briefing/scores/Coach but never the per-metric path (so the base prompt's
'do not open with the number' clause stayed dormant there).
Rewrote the seven per-metric assessment user prompts (generic archetype +
six bespoke: BP/weight/pulse/BMI/mood/compliance + overall) verdict-first
in EN+DE — meaning first, the number right after as support; grounding,
non-diagnostic framing, no-vendor and no-markdown all preserved (only
clause order changed). Wired openerArchetypeHint into metric-status and
the bespoke generators. Factored a shared openingShape contract into
shared-contracts so overview/per-metric/scores can't drift again, with a
coverage test. Lifted the three deterministic first-paint fallbacks to
verdict-led. Prompt-contract regression tests added. No new model calls,
token budget flat.
The Local provider speaks the standard JSON wire: response_format by default,
one self-healing fallback per endpoint when a server rejects it (dialect
cached per base URL) — LiteLLM, OpenRouter, vLLM, LM Studio and plain Ollama
all work from the same form, and the form + provider docs now say so. A
gateway that shims a Claude-family model behind a synthesized tool call is
parsed from the tool-call arguments instead of yielding silently empty
insights.
The insight token budget is configurable (INSIGHTS_MAX_TOKENS, default 2500,
clamped 500-8000) and unified across all six call sites; a reply cut off
mid-JSON returns a distinct truncation error instead of a generic parse
failure. A briefing withheld by the number-grounding check now says so on the
card instead of pretending nothing was generated. The provider test button
answers 4xx with a bad_request category instead of claiming the endpoint was
unreachable.
Sleep repair follow-up: measurements carries a second full unique index — the
natural key (type, measured_at, source, sleep_stage) — so a key-format
migration could tombstone the old rows while their re-keyed replacements
collided with that index and were silently dropped (live incident: a
full-history re-sync erased a user's sleep). Planned creates now run a
natural-key rescue probe: a match, live or tombstoned, is updated in place —
fresh value, the new externalId, deletedAt cleared. A rescue-probe failure
holds the watermark so nothing is lost past the overlap.
Introduce an operator-level ChatGPT-subscription (Codex) credential that the
operator connects once and shares server-wide, plus a per-user switch to route
AI egress through it.
- Schema (migration 0235): three encrypted columns on AppSettings for the
operator's central Codex access/refresh tokens and the ChatGPT-Account-ID
claim, plus expiry/connected-at/status; a per-user useCentralCodex flag
(default false). Register the new encrypted columns in the rotation registry
and script.
- Resolution: add the admin-codex chain type; append it to a user's resolved
chain only when they opted in AND the operator connected it. Tokens refresh
server-side against the singleton row (CAS-style), same primitives as the
per-user Codex path.
- Budget: bill an admin-codex primary against the operator cost cap, not the
user plan — it drains the operator's account.
- Consent: admin-codex is server-managed external egress, gated by the existing
consent machinery (self-snapshot and document surfaces alike). No existing
consent path is weakened.
- Document order: rank admin-codex with the subscription tier (last), so the
document class stays local-first.
- UI: admin device-code connect/disconnect card (cookie-only admin routes) with
honest copy on account pooling, shared rate limits, and training-by-default;
a per-user opt-in switch shown only once the operator has connected it, off by
default, behind a one-time honesty confirm.
- i18n across all six locales; unit tests for the chain type, budget cap,
consent gate, vision capability, and document order; a mocked e2e for both
the admin connect surface and the per-user switch.
The central credential's tokens are encrypted at rest and never returned to a
non-admin API; the opt-in only takes effect once the operator has connected the
shared account.
Lab-report OCR now rasterizes a PDF to page images for any non-Anthropic
vision provider, exactly as the document vault already does — Anthropic keeps
its native PDF block, every other vision provider (codex/OAuth, OpenAI, local)
reads the rendered pages. The capability probe reports `pdfSupported` whenever
the picked provider reads PDFs natively or the server-side rasterizer is
available, so the "scan a PDF" affordance shows for a codex provider too.
Drop the dedicated document-scan (Lab-OCR) provider: labs OCR always uses the
main configured provider chain. Removes the settings card, the `aiOcr*`
resolution branch, the GET/PATCH handler fields, the OpenAPI schema fields, the
i18n keys across all locales, and the five backing `User` columns (migration
0234). The on-device tesseract fallback is untouched.
Dashboard hero: stack the overdue-dose action directly beneath the verdict
text (tight gap, left-aligned) on every viewport instead of pushing it to the
far container edge on desktop.
The document/lab-OCR vision gate excluded every `-codex` slug from the
GPT-5.x line as text-only. That is stale: the `codex/responses` wire reads
an `input_image` block on these slugs (docs/codex-protocol-spec.md plus the
current model lineup), and the 5.2-Codex line is vision-tuned. An operator
pinned to a `-codex` slug therefore resolved no vision-capable provider and
hit a 422 "No vision-capable AI provider is configured" when reading a
document with AI.
Drop the `-codex` exclusion from the gpt-5 branch so a codex-only chain
resolves a document-vision provider; keep the `-mini`/`-preview`
reasoning-slug guard. Lab-OCR on a `-codex` pin gains vision the same way.
Add the documentsAutoAiRead per-user Boolean (migration 0231, default
false) that authorises ambient AI reading of uploaded vault documents.
OFF by default keeps the vault local-first for every self-hoster.
- schema column + migration 0231_documents_auto_ai_read
- documentAutoReadEnabled(userId) read helper
- GET/PATCH /api/auth/me/documents-auto-ai-read toggle route; the ON
write mints an ai_full consent receipt for the audit trail
- the document consent gate short-circuits an external pick when the
toggle is ON; a local pick stays ungated and OFF still requires a
receipt for any external egress
Add GET /api/documents/inbound/capability (document provider order + vendor-blind
egress class), repoint the vault capability hook to it, and show a per-egress
notice in the detail sheet before a document read leaves the machine. Cover the
document provider order, the egress consent gate, and the notice with tests.
i18n x6 + OpenAPI regenerated.
Co-Authored-By: Marc-André Bombeck
The Coach self-context loader failed soft per field (undecryptable
allergies/conditions → null) with no signal, so a key-rotation gap made
the Coach generate guidance without ever seeing the user's recorded
allergies, indistinguishable from an empty profile. Keep the per-field
fail-closed posture but emit a wide-event on each swallowed decrypt and on
the DB-read guard, so a systemic failure surfaces instead of masquerading
as 'the user never wrote anything'.
Add a document-class provider resolution that demotes external/train-by-default
providers below local (local -> BYOK no-train API -> operator key -> codex last)
and a pick-based document-egress consent gate that requires an active receipt
for any external provider. Coach/insights keep the app-wide cost-first order.
Co-Authored-By: Marc-André Bombeck
P2-1-T2/T3/T4/T5/T6.
- assist.ts + [id]/suggest: one provider call proposes a { title, kind,
documentDate } filing draft over the stored original or browser-OCR text.
Runs the full extract gauntlet (module → provider → consent → rate-limit →
budget) but writes nothing — never touches the fact rail or status.
- describe.ts + [id]/summary?mode=summary|text: session-only summary or raw
transcribed text. Descriptive only, no diagnosis; persists only the budget
ledger + audit.
- content-index.ts + [id]/index: normalise → tokenise (de-accent, stopword
drop, whole-word) → HMAC-SHA256 under an HKDF-derived subkey → store the
token array plus AES-256-GCM ciphertext of the text. Vision path transcribes
via the provider (consent + budget); text path indexes posted local-OCR text
(no egress). Gated on the existing AI consent — no new per-user toggle.
- crypto.deriveSubkey: HKDF-SHA256 purpose-bound subkey off the active key.
- list search now unions title/filename ILIKE with a GIN-accelerated
whole-word content-token match; DTO gains hasContentIndex.
- usage gains assistAvailable + contentIndex { enabled, indexedCount,
totalCount }; detail gains hasContentIndex.
Thread the interpretation block into the generic per-metric assessment
path (the ~40 HealthKit metric cards). For a metric the knowledge base
covers, the prompt now carries the band table plus the server-computed
position of the current value, so the assessment names where the value
sits on the guideline scale and judges the trend by that position — the
visceral-fat 2.7 case now reads as "comfortably in the healthy band"
rather than reciting how many times it was logged.
The block is absent for uncovered metrics and for a sex-split band with
no known sex, so those cards fall back to exactly today's personal-relative
behaviour. Band edges carry no strip risk here — the generic assessment
path runs no post-generation numeric grounding gate.
Add two shared cross-surface contracts and compose them into the
assessment cards (base-system) and the comprehensive overview + daily
briefing (insight-generator):
- anti-recitation: a measurement count, a logging cadence, or page
mechanics is not an insight and may only appear when it carries a
consequence — stated as the consequence, not the count.
- interpretation-depth: say what a value MEANS, place it on its guideline
scale where one is attached, judge the trend by band position, and frame
the consequence without diagnosis; where no band exists, interpret
against the person's own baseline and say so honestly.
The cross-surface coverage guard now asserts both contracts reach the
surfaces that enforce them. The briefing's grounding and format machinery
is untouched.
Add a typed, hand-curated registry mapping metrics to guideline
interpretation bands derived strictly from the health knowledge base —
band edges, plain labels, valence, direction-of-good, and a source tag,
each entry citing the KB file + section it came from. A metric the KB
gives no numeric band for gets no entry, so its assessment stays
personal-relative rather than inventing a threshold.
The band position is computed server-side (`classifyBandPosition`, strict
upper-edge semantics + edge-hugging proximity), and `buildInterpretationBlock`
renders the table + placement into the assessment prompt so the model states
where a value sits and what the band means instead of reciting counts.
`interpretationBandEdges` exposes the edges for any numeric grounding gate.
Covers visceral fat, resting heart rate, blood oxygen, respiratory rate,
body temperature, sleep duration, waist (sex-split), waist-to-height,
pulse-wave velocity, and BMI. Tests pin every band edge against the
guideline value so a silent edit breaks a test.
The structured Allergy / FamilyHistoryEntry stores reached FHIR export
only: the doctor-report PDF shipped without the two sections every
clinical intake asks for first, and the Coach knew allergies only from
the free-text answer — a penicillin allergy recorded in the structured
records UI never reached either surface.
Doctor report: two new section toggles (allergies, familyHistory; both
default ON, same stance as labs) across the prefs schema, the export
selection, the aggregator, the PDF renderer, and the export panel. The
tables render stored fields only — substance/category/kind/severity/
reaction/status and relationship/condition/age-at-onset; the reaction
decrypts fail-soft per row and free-text notes are never read, matching
the illness-journal stance. OpenAPI regenerated for the extended
sections shape.
Coach: the about-me context block now appends the structured rows as
clearly labelled entries (authoritative over the free-text answer on
conflict); the projection is a pure composer with unit tests. New
section labels land in all six locales.
The shared formatting contract asks every narrative surface for short
blank-line paragraphs, but two field-level instructions overrode it:
the assessment OUTPUT FORMAT pinned 'flowing prose (2-4 sentences)'
and the briefing paragraph asked for 'a connected 70-160 word read' —
so both consistently arrived as one unbroken block regardless of the
contract. Both now spell out 1-3 short paragraphs separated by a
blank line written as \n\n inside the JSON string.
The shared contract banned every structure beyond 1-3 paragraphs, so
longer replies read as unformatted blocks. It now asks for short
blank-line paragraphs (2-4 on longer replies), permits a plain "- "
list when a reply genuinely enumerates three or more parallel items,
and one bold key takeaway per reply. The Coach ground rule keeps
prose-first; a list is the exception, never the default shape.
The daily-briefing number-grounding gate strips the whole dailyBriefing block
to null when it finds a restated figure it cannot trace to a pre-computed
server value. Its allow-set covered signalsOfDay plus the glucose / labs /
preventive-care / workout / grip / waist / pain aggregates, but omitted the
core vitals blocks — weight, blood pressure, pulse, body fat, mood, sleep,
activity, rate-pressure product, seasonal variation, historical comparison —
even though the briefing prompt is fed all of them.
A verdict-first briefing that restated a blood-pressure average or a resting
pulse (figures every BP-tracking user has) therefore tripped the gate on every
run: one ungrounded number strips the entire briefing while the rest of the
insight refreshes, so the surface reads as "every other text updated, only the
briefing is gone".
Admit every figure the server pre-computes for those blocks into the allow-set.
The anti-fabrication guarantee is unchanged — only server-computed numbers are
ever added, so a genuinely invented value is still flagged and stripped.
The comprehensive briefing aborted its provider call at the 120s budget
on a full-history account — a heavier reasoning model spent longer than
that before the first token, so the chain timed out, fell through to no
fallback, and the briefing rendered its greeting with an empty body.
Raise the comprehensive timeout to 180s so a slow first token no longer
clips a generation that would otherwise complete; the per-user response
timeout still overrides it for operators who need more, and the worker
cap tracks this value.
The insights alert cards computed medication compliance with the naive
`schedules.length × days` denominator, so a fully-adherent weekly
injectable read ~14% and fired a false low-compliance alert (and a paused
medication mis-fired the same way). Route the alert path through the
canonical `calculateCompliance` engine like every other compliance
surface — pause eras, schedule revisions and dose windows honoured.
Document confirm: committing a numeric observation against an existing
biomarker silently replaced the stated unit with the catalog's, with no
conversion — a stated "6.1 mmol/L" against a mg/dL marker committed
"6.1 mg/dL". Reject on a unit mismatch (fail closed) so the user
reconciles on the review screen, the same posture as the unit-required
guard.
Wire grip strength, waist (with waist-to-height) and pain into the
briefing feature set and the grounding allow-set so the clinical-depth
signals reach the daily narrative; the mental-health screeners stay
excluded by construction.
Biomarker detail: fall back to a generic description for catalog-less
markers, and keep the heading + description with a retry on the error
state. Collapse the medication External-API and Lifecycle groups by
default. Re-enable the insights scroll-to-top regression and assert the
shipped main-content reset.
Align the EN haemoglobin/haematocrit display names to British spelling.
Drop the redundant `(userId, deletedAt)` index on inbound documents — a
strict prefix of the new three-column index. Trim the dead
MedicalDisclaimer variants to the one live `dataPosture`. Move the
crisis-resources card off the retired amber tint to a calm
destructive-subtle border. Add a registry invariant asserting every
biomarker signal key resolves to a real catalog slug.
Introduce one canonical "what this is / is not, not a medical device"
statement plus a layered, calm disclaimer set, and apply it on the
surfaces that earn a context note.
- New shared `MedicalDisclaimer` component renders the copy as plain
React text (no markdown renderer, per the XSS posture). Variants:
intendedPurpose, coach, insights, labs, medications, emergency,
dataPosture.
- New `selfDescription` i18n namespace across all six locales: the
intended-purpose line, the per-surface notes, the emergency note, and
an explicit data-posture statement (self-hosted, data stays on your
instance, encrypted at rest, BYOK / local model, no third-party
analytics).
- Apply once per surface, layered not plastered: a calm standing line on
the Coach new-chat hero, one framing line in the Insights layout shell
(covers the briefing and trends), a labs note (ranges vary, only a
clinician interprets), a neutral medications note, and the data-posture
line where the provider key is configured. Mental-wellbeing keeps its
existing crisis copy; records keep their existing note.
- Extend the Coach system prompt (EN + DE) with a self-description ground
rule so the Coach answers "what are you / where does my data go"
honestly and stays non-diagnostic.
App-authored copy was already observational; the few diagnose/treat
tokens are negations, idioms, or framed as the user's own self-reported
statement, so no softening was required.
Rework the proactive Coach nudge so it reads like one human checking in on
another instead of a terse English alert.
Copy: the title is a name-led greeting that rotates day to day ("Guten
Morgen, …" / "Hey …"; the 05:15 frame makes a morning opener safe) and the
body is one calm observation plus a gentle invite — never an imperative.
Drop the verbatim quoting of the user's decrypted self-context sentence:
the focus is referenced only by presence, abstractly, and is no longer
decrypted at all. Remove the 80-char mid-word clamp; each channel composes
to a length budget instead.
Cadence: suppress the nudge when the user already talked to the Coach in
the last ~24 h. With the existing rolling frequency cap (never two in a
window) and the no-trigger-no-nudge rule, the surface stays anti-nag.
AI enrichment (opt-in via the coach prefs blob, default off): when a
provider is healthy the body is composed through the model under hard
guards — a per-user budget gate, a tight per-call timeout, a per-tick
ceiling so the sequential tick can't stall across the user base, and the
outbound safety screen on the output. Any error, timeout, budget refusal
or unsafe reply falls silently back to the deterministic template, which is
always the default and the fail-closed fallback.
Localized greetings, per-trigger bodies and the focus note across all six
locales; the prefs opt-in is surfaced in the notification settings.
The requirePublicHost egress paths now dispatch through undici's own
fetch, so the existing global fetch stubs in the AI, GeoIP, moodlog,
send, and ntfy suites no longer intercept them. Delegate undici's fetch
back to the installed global stub so each suite keeps asserting its
request shape and canned responses without exercising the network.
The daily briefing and the per-metric status assessments ignored the
per-user response-timeout setting: they hardcoded their per-surface
AI_BUDGETS default, so raising the timeout for a slow self-hosted or
local backend had no effect and the surfaces still aborted early. Only
the coach threaded the setting through.
Resolve the effective timeout from User.aiResponseTimeoutSeconds in one
shared helper and thread it onto every non-coach generation call:
- runStatusCompletion is the single chokepoint every status / reference
surface funnels through (per-metric cards, the batched assessment, the
derived assessments, the period narratives), so resolving it there
applies the setting to all of them at once — on both the upstream
call's own timeout and the outer wall-clock cap that previously clipped
a raised value at 60 s.
- The comprehensive briefing generator and the user-initiated regenerate
route thread it onto the main generation, the JSON retry, the grounding
retry, and the paragraph re-roll.
On a failed generation the briefing keeps its last good text — no cache
row is written, so the previous payload stays intact — and records a
dated, append-only failure marker (no migration; reuses the audit-log
JSON pattern). The read path compares the marker against the last
successful generation so it can tell a held briefing from a current one.
A cluster of related correctness gaps in the compliance denominator and the
insight surfaces that read it:
- Paused medications. A doctor-ordered pause flipped `active` off and stamped
`pausedAt`, but resume nulled `pausedAt`, so the interval was irrecoverable
and every paused day became a missed dose after resume — collapsing
adherence across the Health Score, the BP gate, the Coach snapshot and the
report. Persist pause intervals as durable eras (new `MedicationPauseEra`,
migration 0211), close the open era on resume, thread the eras through the
compliance context and drop slots inside a paused interval from the
denominator. Every compliance call site now fetches and passes the eras.
- Health Score eras. The Health-Score fast path was the only compliance
caller that skipped the shared schedule select and schedule revisions, so
after a schedule edit it scored past days against the current schedule
while every other surface used the historical era. Switch it to the shared
select and thread revisions (and pause eras) like the canonical path.
- Insight bucketing timezone. The per-metric status series bucketed every
user in Europe/Berlin, so a near-midnight reading landed in the wrong day
and the relative-day phrasing was off for non-Berlin self-hosters. Thread
the resolved user timezone and key off `userDayKey`.
- Correlation significance. User-facing correlations surfaced from five
paired points with strength read straight off the coefficient. Route them
through the rigorous engine (at least twenty pairs, Student-t p below 0.05)
so small-N coincidences no longer render as confident findings.
- Resting-pulse input. The mood-versus-"resting pulse" correlation fed the
raw PULSE day-mean, which folds in workout HR, under a "Resting pulse"
label. Feed `resolveRestingPulseSeries` (clean RESTING_HEART_RATE, else a
daily low-percentile proxy) so the label matches the input.
Cap and page the unbounded reads that let a multi-year tenant pull its
whole measurement history into memory on hot paths.
- extractFeatures: read newest-first with a 6000-row cap (mirrors the
Coach snapshot) and reverse to ascending, so a 365-400 day window no
longer materialises hundreds of thousands of PULSE / glucose rows per
Coach turn and nightly briefing. Full-history extremes still come from
readAllTimeExtremes, so the cap never relabels an extreme.
- Add a (userId, measuredAt) index on measurements (migration 0210) for
the type-less range scans that extractFeatures and the consolidation
passes drive; the existing (userId, type, measuredAt) cannot serve them
as a prefix.
- runConsolidation: keyset-paginate the per-(user, type) source scan on
(measuredAt, id) instead of one unbounded findMany, removing the giant
single result-set allocation that drove the boot storm. Output is
identical; covered by a paging unit test.
- Stagger the boot-time backfill enqueues with increasing startAfter
offsets so the heavy full-history loads no longer all drain in parallel
onto one tenant at startup. Non-boot callers keep their immediate send.
- Backups: replace load-all-then-stringify with paged narrow-select reads
for the weekly and off-host writers, bounding transient heap. Off-host
still includes soft-deleted rows. Covered by a serialize/restore
round-trip test.
- Drop the per-request auth.bearer.success audit insert; the wide event
already records auth_method and user_id, so the polling client no longer
drives a write + pool checkout on every request. Failure-path audit
stays.
- Coach conversation detail: cap the message include to the newest 200 so
a long thread no longer decrypts every message on each open; response
shape unchanged.
- Admin audit-log: floor the scan at the retention horizon so the listing
and its count stop sweeping open-ended over the substring filters.
Encrypt MedicationSideEffect.notes, MedicationDoseChange.note and
MedicationInventoryItem.notes with AES-256-GCM, closing the last plaintext
PHI columns left after the v1.23 note-encryption rollout. Add the three
*Encrypted Bytes columns (migration 0208), register them in the encrypted-
column rotation set, route every read/write through the note cipher, and add
a transactional fail-closed boot-time backfill for legacy rows. Plaintext
columns drop in a later release once the backfill reports zero remaining rows.
Require a fresh second factor on password change for MFA-enrolled accounts,
matching the existing step-up on MFA-disable and recovery-code regen. Redact
free-text note values from the Zod validation excerpt that can reach a wide
event.
Code-review and design follow-ups before the v1.22 cut. No behaviour change
beyond the items below.
Coach / insights:
- Coach SSE route: a non-provider error raised inside the open producer (e.g. a
DB failure persisting the reply) now records on the wide event and forwards to
GlitchTip instead of masquerading as a provider outage; it still surfaces an
error frame since the stream is open.
- Lab ↔ outcome correlations: hedge faint-tier pairs ("a faint hint, if
anything … too small to lean on") so the narrated confidence never outruns the
effect, matching the daily engine.
- Reminder sweep: mint the plan-review reminder and clear the plan's reviewDate
in one transaction so a half-applied write can't duplicate the reminder.
- Fold the two raw provider-fallback runners onto one shared chain walker.
Design / accessibility:
- Lift sub-44px tap targets to the 44px mobile floor (suggested-action card,
Coach bubble affordances), brighten the resting timestamp clock for non-text
contrast, and route the lab chart height through the shared constant.
- Replace ad-hoc arbitrary type sizes with the scale token and static size-11
icon buttons with the named icon-lg variant.
- Settings: add the missing About card-header descriptions, normalise the
low-stock numeric widths, and relax the notification-status rows from nested
cards to a divided list.
Housekeeping:
- Drop three unused exported types (and the now-orphaned source const), re-stamp
v1.21.5 comments to v1.22, and register the live-judge eval harness as a knip
entry so the script-only module resolves.
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).
Add the medication-class to target-vital map and the adherence-to-vital
storyline so the Coach can surface, association-only, when an adherence dip
lines up with a drift in the vital that medication targets. Never causal,
never a dose-change suggestion; dose questions defer to the prescriber.
Add an in-repo CUSUM / binary-segmentation changepoint detector over DAY
rollups with a high firing bar (persistence plus within-segment-spread
magnitude) so the Coach can name a dated, sustained level shift instead of a
vague "lately", and stays silent when no break clears the bar.
Surface which source recovery is read from when two sources materially
diverge, with the honest reason, instead of silently averaging.
Lay the n-of-1 experiment substrate: a nullable encrypted outcome column on
coach_plans (migration 0197), the review_due / reviewed lifecycle statuses
wired into the encrypted-column registry and rotation script, and a daily
worker that reads the experiment result back in the user's own before/after
numbers — association-only, honest-null, no cheerlead on an adverse trend,
and routing a worsened vital to the clinician. The user-visible read-back
stays behind COACH_EXPERIMENT_VERDICT until its review cases clear.
Extend the outbound dose screen to catch experiment-shaped dose changes
(halve / skip / stop a medication to test it). Add evaluation cases and unit
tests for each new surface.
Marc-André Bombeck