One-shot prettier pass so the new format:check gate starts from a clean
baseline. Formatting only — no behaviour change. Generator-owned and
vendored artifacts stay untouched via .prettierignore.
Remove the unused output-key reverse map the batch path never read, and
have the budget table satisfy the AiBudget interface directly so the type
is enforced rather than orphaned.
Add generateStatusBatchForUser: it prepares the seven specialised status
snapshots once, sends one prompt for a { perMetric } envelope covering only
the metrics with data, and fans each summary back into the same per-metric
cache rows the standalone generators write. One JSON-correction retry guards
the parse; any omitted metric or a failed batch degrades to that card's own
single-call path, so a partial response never goes dark. The nightly warm and
the forced warm route through the batch in production while the injected
per-card seam keeps the cron tests intact. Adds the status-batch prompt
scaffold composed from the shared assessment contract.
The grounding, tone/banned-opener, GLP-1 dose-safety, metric-identifier
ban and forbidden-filler rules were independently encoded across the
comprehensive, status, Coach and narrative prompts and had drifted. Move
the canonical wording into `prompts/shared-contracts.ts` (locale-keyed
fragments) and compose each surface from it.
Where the surfaces had drifted, adopt the stricter wording: most notably
the GLP-1 dose-prescription contract — previously present only in the
comprehensive and Coach prompts — now reaches the status cards and the
period narrative too. A cross-surface coverage test asserts every
enforced fragment appears verbatim in every surface, in de and en.
Compute a present-focused "signals of the day" block in extractFeatures from
the in-memory measurement set (no extra query): the freshest reading vs the
user's own 7d/30d windows, the normal-swing verdict, an emerging slope, and a
recent anomaly per salient metric, ranked by clinical priority and capped at
five. Add a signalsOfDay array to the dailyBriefing schema feeding the
briefing alongside the existing keyFindings cap, and rewrite the briefing
prompt (EN + DE) to lead with NOW: a warmer, motivating read that surfaces the
emerging signal and gives one concrete, doable nudge while still drawing on the
tiered history.
The signals block lands inside the compacted features payload, so it also
seeds insightsSnapshotHash — a fresh daily signal now changes the fingerprint
and forces the daily 04:30 warm to regenerate instead of re-stamping a
days-old narrative. Bump PROMPT_VERSION to 4.29.0.
Add WHOOP-native DAY_STRAIN (0-21) to the Coach snapshot as a dedicated
dayStrain block, kept distinct from the computed STRAIN_SCORE (0-100) and
preferred native-over-computed, mirroring recovery resolution. Document the
glucose.clinical panel (TIR/GMI/eA1C/CV) plus the stillLearning and
isSpotEstimate gates in the system prompt, and the native dayStrain scale in
the derived paragraph. Extend the DE and FR/ES/IT/PL evidence-block unit lists
with mg/dL, mmol/L and min so a non-English coach can cite glucose and duration
values. Export GLUCOSE_PANEL_WINDOW_DAYS as the single source for the 30-day
clinical-panel window and import it across the analytics route, dashboard
snapshot, and Coach snapshot. Compute the derived metrics concurrently.
A typed apiFetch wrapper owns the envelope unwrap, the ok-check and the
error read for every client call — two hundred call sites across the
app migrate onto it and a lint rule keeps raw api fetches out for good.
The legacy timezone helpers fold into the tz module and test fixtures
drop personal names.
Warm the insight generator (briefing + key findings + insight prose) and
the Coach to the same premium-motivating advisor register already shipped
for the per-metric assessments. The intro and role framing drop the cold
clinical-summariser voice for a warm advisor who reads the user's data
against their own history, names earned wins, and frames an unfavourable
finding as one doable step.
Every safety and quality guard is preserved: no diagnosis, no
prescription, no platitudes, no bare number-echoing, honest about
unfavourable values, the banned positivity openers, the doctor-consult
call-to-action, and the JSON output schema + keyFindings tone enum stay
byte-identical. PROMPT_VERSION 4.27.0 -> 4.28.0 (also covers the Coach,
which imports it). Native FR/ES/IT/PL personas warmed to match.
The per-metric and wellness-score assessment prompts gain a premium-advisory
layer: name the earned win, build a little momentum, frame an unfavourable
finding as an opportunity, and close forward-looking. Every existing guard
stays in force — no platitudes, no bare number-echoing, autonomy-supporting,
never alarming, moralising or diagnostic, and the banned-opener and
forbidden-phrase lists are unchanged. The composite-score archetype warms to
a WHOOP/Oura-style recovery coach while staying descriptive, not clinical.
PROMPT_VERSION 5.0.0 -> 5.1.0 so the provenance can slice prose before/after
the tone edit. Cached accounts converge to the new voice within ~24h.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Add an additive, non-breaking assessment field to GET /api/insights/derived:
{ text, source, updatedAt } | null, keyed to the requested metric id for the
five per-score ids (READINESS, SLEEP_SCORE, RECOVERY_SCORE, STRAIN_SCORE,
STRESS_SCORE). The field is null when the metric is not one of those or when
its status is not "ok". A deterministic text always fills it — composed from
the score's own contributors, so provider-less accounts and the demo are never
empty — and warmer provider prose overrides it once cached, warmed out of band
so the GET never blocks on a model round-trip. de/en, following the v1.12.12
deterministic-narrative model. The batch grid read returns assessment: null;
the detail sheets use the single-metric route.
Introduce a shared buildMetricSignal() helper: a token-lean, signal-rich
descriptor (current, own baseline, signed delta, spread, normal-swing verdict,
normal-range placement, contributors) computed server-side so the model states
the comparison instead of re-deriving it from raw buckets. Thread it into the
generic per-metric assessment snapshot and lead the base prompt from it. Add a
PROMPT_VERSION constant to the base system prompt so prompt changes are
traceable.
Regenerate docs/api/openapi.yaml.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The v1.12.1 diversity block (variety lead, data-strength line, steady-run
repetition signal, FDR-screened cross-metric relations) reached only the
generic archetype cards. The seven hand-tuned headline cards — the ones users
see most — ran at temperature 0.3 with only the previous-context block, so they
stayed prone to repetitive openers and forced filler steps. Thread the same
assessmentContextBlock through the specialized get*UserPrompt builders and
raise their temperature to 0.45 to match the archetypes.
Soften the unconditional "close with one step" across the specialized sections
and the activity / body-composition / sleep archetypes to the base prompt's
conditional form — close with a step only when the finding implies one,
otherwise affirm and name one thing to watch — so a steady metric no longer
manufactures a filler step. EN/DE parity preserved; guard computeSteadyRun
against an absent graded slice.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The insights ground-rules carried changelog tokens ("v1.4.16 phase B8", "W4d")
inside the prompt strings the model reads — token waste and inconsistent with
the project voice. Move the rule content to clean numbered rules; the markers
belong in code comments, not shipped prompt prose. Update the test pins to the
cleaned rule headers.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The per-metric assessment prompt (base-system) and the scope-hardened
insight system prompt (insight-generator) each carried EN and DE as two
parallel template literals kept in sync by hand — a standing drift risk
flagged in the AI-quality audit.
Model each prompt as one section skeleton: a single ordered list where
every section supplies its EN and DE fragment side by side, and a builder
joins the fragments with a blank line. The section order and prose are
unchanged; the DE calibration is preserved verbatim. A section edited in
one locale but not the other now shows up as an asymmetric edit in one
list instead of two literals silently diverging.
Pure refactor — every emitted prompt string is byte-identical for both
locales across every metric, surface and reference combination. A new
locale-skeleton-parity test pins the structure (each section carries both
fragments, composed prompt equals the joined fragments); the existing
grounding, filler-ban, forbidden-phrase, refusal and exact-phrasing guards
pass unchanged.
(cherry picked from commit 12cd718d6d602a48cafc14ad06d82282fdaacb27)
The per-metric assessment cards are tightly grounded but their form had
converged: every card opened the same way, forced a "one doable step"
even when nothing was actionable, and a metric that stayed steady for
weeks produced near-identical paragraphs. Squeeze more value from data
already computed server-side, without touching the grounding floor or any
safety contract.
- Surface FDR-surviving cross-metric correlations on the per-metric card.
The discovery engine already screens behaviour×outcome pairs with a real
Pearson + exact p-value + Benjamini-Hochberg FDR control; that
intelligence only reached the period narrative. A new read-only consumer
runs the same full-matrix discovery and filters to the pairs that
involve the current metric, then feeds the engine's own conservative,
descriptive, never-causal interpretation strings into the prompt as
grounded relations. Best-effort: a correlation hiccup can never block the
generation it only decorates.
- Streak-aware repetition. Derive a steady-run length from the graded
series (consecutive recent weeks within a band of the user's own
baseline) and tell the model when it has already reported "no material
change" N times running, so it acknowledges the continuity in one clause
and pivots to a different facet instead of restating the same level.
- Stop forcing a step; add controlled variety. The closing step is now
conditional — when nothing is genuinely actionable the model affirms and
names one thing to watch rather than manufacturing the filler that lets
platitudes back in. A deterministic per-render variety token (seeded from
user + metric + day, never Math.random / Date.now) rotates the opening
angle so consecutive cards and days don't read identically, and the
phrasing temperature lifts 0.3 → 0.45 while the facts stay pinned by the
snapshot and the forbidden-phrase guards.
- Surface the computed data strength (n + recency) into the prose prompt so
it hedges on thin data instead of guessing what "few" means, matching the
UI confidence badge.
- Add locale-matched few-shot examples (a grounded assessment + a labelled
banned-filler counter-example) to the assessment system prompt, which
most helps weaker local-provider models follow the contract.
The own-baseline grounding, computed-not-hallucinated stats, schema-
enforced output, filler-phrase ban, and correlation-as-association
discipline are all preserved and re-pinned by new guard tests.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
(cherry picked from commit c9d04cab1523e0e57a3f50c87c9f88684b01b26f)
Fold the deterministic short-horizon forecasting engine into the Coach
prompt as a compact, lowest-signal snapshot block. For each in-scope
metric the block carries direction + slope + the projected horizon end
with its widening prediction band, the last observed value, and the
fit's R² / server-computed confidence — read straight from the existing
projection engine, never recomputed. A metric below the fit/history/
staleness floor is omitted; the block is dropped entirely when none
qualify, and it sheds first under prompt-budget pressure.
Add a conditional-projection ground rule so the Coach narrates a
trajectory only when the block is present and only for the metric it
covers: direction and range, always conditional, never a certainty, a
risk score, a diagnosis, or a dated event; absent block means no
projection. The rule lands in the safety-contract matrix across all six
locales and inline in the EN + DE system prompts, with an overclaim
probe asserting a projection is never upgraded. Bump PROMPT_VERSION.
Extend the assessment-card system beyond the seven specialised scopes to
the ~30 HealthKit metric pages, without hand-writing a prompt per metric.
- Add a metric-metadata registry keyed by HealthKit id (display name,
unit, direction, optional normal range, archetype, scope), covering the
data-bearing HealthKit metrics. The seven specialised metrics keep
their own scopes and are excluded from the generic set; an unregistered
id gets no card.
- Add a generic data-driven generator that reuses the existing graded
snapshot, provider runner, stale-while-revalidate cache, and persist
path. One prompt template per archetype (physiological-vital,
activity-fitness, body-composition, mobility-gait,
environmental-exposure) plus a dedicated sleep template, parameterised
by metric metadata. Empty-data metrics return an insufficient marker
with no provider call. Normal ranges use age + sex where the profile
stores them; no ancestry/region ranges.
- Add GET /api/insights/metric-status?metric=<id>: apiHandler-wrapped,
Zod-validated against the closed registry id set (422 on unknown),
read-only with stale-while-revalidate. First insights route with
OpenAPI coverage; regenerate docs/api/openapi.yaml.
- Route the generic metric:<id> scope through the on-demand status queue
worker dispatch.
- Extend the nightly warm pass to the generic metric caches for a user's
data-bearing metrics only (one distinct read gates the set), keeping
de+en warm and never calling a provider for an empty metric.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
(cherry picked from commit 41453fbdfee60793c16269b9a9e5f04b6c3ea450)
The hard '~5 measurement points' floor did not fit mood (counted in
entries) or medication adherence (counted in scheduled doses). Re-word
the gate as 'a few measurement points/entries/events' and note that the
unit depends on the metric. Also fix the gating-field path: the recency
field lives at dataCoverage.newestMeasurementDaysAgo, not on summary.
The mood card noted persistent low phases but offered no gentle path to
support. When mood stays clearly low for several days, the model now
offers an autonomy-preserving pointer toward talking it through with a
trusted person or a professional — never alarming, never a diagnosis, no
emergency tone. The safety-contract matrix does not cover this pathway
and does not reach the per-metric assessment prompts, so it lives here.
For an infrequent schedule such as a weekly injection, the 7-day
compliance figure is dominated by a single dose: one miss swings the
percentage sharply and reads as a collapse it is not. Tell the model to
lean on compliance30 as the load-bearing value when schedulesPerDay is
low and treat compliance7 as a rough pointer only. Output stays {summary}.
The overall-status card summarises up to six metrics, but it inherited
the single-metric 30-60 word budget, which forced the model to either go
generic or overrun. Grant the section an explicit 3-5 sentence / 50-80
word budget and cap it at naming two metrics by name, with the rest
mentioned only when they deviate notably from their own mean.
The bmi and weight cards produced near-identical trend text for a user
with both metrics, since bmi is weight scaled by a constant. Re-aim each
card so they carry distinct information: bmi now centres on WHO-band
placement (call out a band crossing or a near-boundary value against the
person's own baseline), and weight stays on the continuous trend and
pace (kg/week, plateau, milestone). Each defers the other concern to its
sibling card.
Drop the dead-field guidance (avg90/allTime, historicalComparison,
ratePressureProduct, bodyCompositionDivergence, seasonalVariation) and
the chart-token instruction. Describe the per-type measurementSeries map
and the adherence/mood/target context, pull them into one coherent
picture against the person's own baseline, and close with the single
most important doable step.
Replace the historicalComparison and moodAdherenceRisk guidance with the
actual per-medication snapshot fields (compliance7/30, streak,
taken/skipped/missed, dailySeries). Read the recent direction as
compliance7 vs compliance30 against the person's own baseline, frame
positively, and close with one blame-free doable step.
Describe the graded mood series, target band and tag list, lead on the
weekly pattern against the person's own baseline, name persistent low or
high phases calmly as an observation rather than a diagnosis, and close
with one kind doable step.
Describe the graded BMI series and target band, lead on the trend over
the single value, keep the WHO bands as placement anchors rather than a
label for the person, and name BMI's body-composition limits plainly.
Drop the chart-token instruction the status path strips out.
Replace the dead-field guidance (historicalComparison.weight,
allTimeMax, slope30, bodyCompositionDivergence, sleep.avg7) with the
graded weight series. Lead on the weekly/monthly trend rather than the
single value, define plateau and sustainable pace against the person's
own baseline, anchor milestones to their own maximum, and gate BMI
context on a known profile height.
Drop the stale snapshot vocabulary (avg7/30/90, historicalComparison,
slope30, rate-pressure product) and the chart-token instruction the
status path strips out. Describe the graded pulse series and target
band, compare the recent days to the person's own weekly/monthly
baseline at a ~5 bpm significance threshold, and frame a rising or
falling resting pulse as a possible explanation rather than a diagnosis.
The status cards render only the model's summary field, yet the prompt
described a snapshot vocabulary (avg7/30/90, historicalComparison,
ratePressureProduct, seasonalVariation) that the graded snapshot no
longer carries, and demanded a full findings/correlations JSON schema
that this path never reads.
Rebuild the shared base prompt around the actual graded shape (summary +
recent/weekly/monthly/yearly with min/max/mean/slope), the own-baseline
comparison, a name -> place -> one-step structure, a warm
autonomy-supporting tone, a 2-4 sentence length, honest data-gating, and
a { summary } output. The blood-pressure section judges systolic and
diastolic together against the person's own baseline with ESH 2023 as
the placement anchor.
Eight touch-disjoint waves landed on develop before this release:
- W-INSIGHTS-HOT + W-RECONCILE-INSIGHTS — extract the timeout-stub
persist helper and wire all seven *-status routes through it, closing
the recurring ~14 s warm response the iOS client sees on dashboard
open once the AI provider has stalled once that day.
- W-DELETED-2 — close the remaining three soft-delete reader-tier gaps
(export bundle, gamification achievements, doctor-report aggregator)
with a five-route integration-test pin.
- W-ORG — types consolidation into src/types/analytics.ts and
src/types/backups.ts; prompt directory unification.
- W-FRONTEND-FACTORY — queryKey factory expansion + ESLint rule lift.
- W-IOS-COORD — POST /api/auth/check-user four-branch onboarding
discovery, identifier matched verbatim, per-IP rate-limited.
- W-SIMPLIFIER — today-intake projection helper extract; unused tx?
params dropped; 13 knip-flagged dead exports trimmed.
- W-PERF-OPS — v1.4.39 W-SUM legacy-NULL UNION discovery arm retired.
- W-PROCESS-DOCS — pg.Pool sizing operator doc; ESLint rule
formalisation; knip CI gate staged for v1.4.42 flip.
No migration, no env-var change, no API contract break for iOS v0.5.4.
The new check-user endpoint is an additive surface. AP-2 .p8 key is
installed; SB-5 time-sensitive APNs is live as of this deploy.
pnpm test --run green at 4732 passing / 1 skipped.
pnpm typecheck, pnpm lint, pnpm knip green.
Bug-fix and consistency follow-through after the v1.4.27 mobile sweep.
The headline is a tighter dashboard and insights surface: six widgets
retire from code entirely (GLP-1 tile, dashboard `<DrugLevelChart>`
mount, GLP-1 detail-page intake history + inventory, the
`<InsightAdvisorCard>` block and its regeneration affordance, the
weekly-report route), four broken edges close (workout-edit duplicate-
timestamp 409, BD-Zielbereich tile rebuilt on the shared
`<TrendCard>` primitive, `/insights/puls` chart timeout fallback,
sticky tab-strip scroll lock), and one consistency contract lands per
maintainer directive: every medication-list row, every medication-
detail section header, every trend tile, every Coach launch glyph,
every chart-height contract reads on one shape. The HealthScore card
grows to fill its column, gains an accessible `?` tooltip explaining
the delta, and drops the placeholder "Wochenbericht erstellen"
button. iOS contracts are intact; the only `/api/*` evolution is
additive (the `aggregate=monthly` grain on `/api/measurements` and an
internal-only `/api/internal/web-vitals` beacon route).
Largest feature delta in the v1.4.x line. Insights expands into seven dedicated metric sub-pages; GLP-1 medication tracking lands end-to-end (drug-level chart with Research Mode acknowledgment, EMA titration ladder, cadence + compliance, side-effect taxonomy, pen/vial inventory); cross-source priority becomes a two-axis resolver; per-user timezone threads through ten analytics surfaces; Withings activity + sleep v2 sync; onboarding rebuilt as a nested-route wizard; Personal Records ship end-to-end; Health Score provenance accordion; Coach runs native first-party prompts across six locales with a 1800-assertion refusal-probe matrix; OpenAPI drift gate hard-fails; multi-arch GHCR image. Migrations 0043 through 0060 are additive and forward-only. PROMPT_VERSION 4.24.0 → 4.25.0 with GROUND RULE 9 (refuses dose recommendations) and GROUND RULE 15 (refuses drug-level estimates with MDR + MDCG 2021-24 cites).
See CHANGELOG.md for the full per-section delta.
Extends the strict insight schema, Coach snapshot pipeline, and
provenance envelope with the seven Apple Health categories that landed
in Wave 2 (HRV, sleep, resting HR, steps, active energy, flights,
distance, VO2 max, body temperature). All fields are additive and
optional — web-only accounts pay zero extra SQL and the prompt's new
GROUND RULE 12 instructs the model to stay silent when the snapshot
doesn't carry the HealthKit blocks.
Ratchets PROMPT_VERSION 4.22.0 → 4.23.0 and refreshes the
sourceMetric / trendAnnotations enums in both EN + DE. Two new test
files pin the prompt body and the snapshot fan-out.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Maintainer-voice sweep across `src/`. ~190 references to the
maintainer by first name in code comments and JSDoc neutralised to
"the maintainer", "the live tenant", "users", or "the user" depending
on context. Three sed passes covering ~50 distinct patterns
(`Marc reported`, `Marc wants`, `Marc kept`, `Marc rolled back`, etc.).
Test fixtures (`displayName: "Marc B."`, `username: "marc"`,
`<HeroStrip userName="Marc">`) kept as opaque test data per the brief.
CHANGELOG normalisation. The v1.4.14 + v1.4.15 entries paired a
German bullet with its English translation by historical design — the
in-app copy is English-default and the user docs are English, so the
mixed-language style was a holdover from the early-marathon notes.
A one-off node script extracted the `_..._` English paragraph from
each bilingual bullet and rewrote the entry as that text. ~44 bullets
reduced; one Docs bullet that lost a leading word in the regex
fixed by hand.
CLAUDE.md → CONTRIBUTING-AI.md rename so the filename is no longer
AI-vendor-specific. `CONTRIBUTING.md` reference updated. `AGENTS.md`
stays in place for multi-agent compatibility (the conventions doc is
shared with Codex / Cursor / etc.).
Wave-4 state wrap. STATE.md now records C1–C5 + D + D2 as complete;
v1421-backlog.md grew a "Closed in v1.4.22" header listing the 20
items the marathon landed; `.planning/phase-W4-report.md` documents
the per-commit decisions, test deltas, and the 23 items deferred to
v1.4.23 with reasoning.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Replace the v1.4.20 "conversational summariser" persona with a partner
who sits alongside the user — warm, curious, conservative, with seven
numbered ground rules that prefer invitation over refusal when data is
missing and reserve specific numbers for a structured evidence block
at the end of each reply. The day-level timeline section from v1.4.21
stays verbatim so weekday questions still resolve cleanly. Bumps the
shared PROMPT_VERSION from 4.20.2 to 4.22.0 and broadens existing
schema tests off the 4.20.x pin onto the 4.x train.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Extend aiInsightResponseSchema with weeklyReport (ISO week + summary +
goingWell/worthWatching/tips bullets + optional dataQualityNotes) and
storyboardAnnotations (date + label + category + detail; max 20).
Both blocks are nullable + optional so legacy 4.20.1 caches round-trip.
Bump PROMPT_VERSION 4.20.1 -> 4.20.2 and add GROUND RULE 10 (weekly
report sections match layout, conservative phrasing, no causal claims)
+ GROUND RULE 11 (storyboard annotations are factual user-logged events
with neutral prose) to both EN and DE prompts.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Extend `aiInsightResponseSchema` with an optional, nullable
`trendAnnotations: { bp?, weight?, mood? }` block — one short
sentence per metric, capped at 200 characters. Each field is
independently optional so the model emits only the metrics it can
ground in the snapshot.
Insight-generator prompt picks up GROUND RULE 9 (EN + DE):
single-sentence, observational, ≤ 200 chars, banned causal
phrases enumerated. PROMPT_VERSION bumps 4.20.0 → 4.20.1 to
signal the format change so cached payloads from B1 still parse
through the `.nullable().optional()` field.
13 tests cover the boundary (200 chars), the empty-string
rejection, the legacy-payload round-trip, and the EN/DE prompt
rule presence.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Extends `aiInsightResponseSchema` with an optional `dailyBriefing`
block (paragraph + 0-5 keyFindings, each with tone / headline / detail
/ delta / sourceWindow / sourceMetric). Nullable + optional so v1.4.19
cached payloads still parse cleanly.
Bumps PROMPT_VERSION 4.19.0 → 4.20.0 and adds GROUND RULE 8 in both
EN and DE system prompts, instructing the model to emit a briefing
block grounded in the user's own snapshot numbers (no extrapolation,
no medical advice claims, hard-cap at 5 findings).
TDD: new daily-briefing-schema.test.ts covers legacy back-compat,
well-formed parsing, > 5 findings rejection, empty-paragraph
rejection, finding-field validation, and the PROMPT_VERSION 4.20.x
match. Existing medical-reference-prompt.test.ts assertion stays
broad enough to ride the bump.
+31 tests (1672 → 1703); typecheck clean.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Every insight summary opened with the same "Datengrundlage ist sehr
stark" / "Your data foundation is strong" filler — the user does
not see what fields the snapshot carries, so the opener reads as
awkward stock praise.
Add ground-rule 7 to both locales of the system prompt: don't open
with a compliment about the data quantity or quality, mention data
quality only when it materially limits the analysis (n<7 in the
analyzed window, recencyDays>14 since the last entry, or a coverage
gap). When data is fine, dive straight into the analysis.
Banned-opener phrases listed verbatim in both EN and DE so the
model does not paraphrase the same sentiment.
PROMPT_VERSION bumped 4.16.1 → 4.19.0 so feedback aggregation can
distinguish responses generated under the new rule.
New test file pins the rule, the trigger thresholds, the banned
phrases, and the dive-straight-in instruction in both locales.
Existing PROMPT_VERSION pins relaxed to allow any 4.x.x ratchet so
future minor bumps don't sweep up these assertions.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Extend `buildUserPrompt()` to accept an optional `ComparisonSnapshot`
that, when supplied, appends a SYSTEM CONTEXT block listing each
metric's current 30d average, baseline 30d average (from 30 / 365
days back), absolute delta, and percentage delta. The strict system
prompt gains a sixth ground rule that instructs the model to narrate
the most clinically-significant non-null delta in the summary's first
sentence and forbids inventing comparison numbers.
The route reads the user's persisted `dashboardWidgetsJson.compari-
sonBaseline` and builds the snapshot from a per-metric `summarize()`
sweep so the numbers the LLM sees match what the dashboard tile
renders — single source of truth for the comparison delta. Comparison
is default-on whenever the toggle is on per research §7 Q4: there's
no secondary "include in AI" preference, the pulldown is the single
affordance.
PROMPT_VERSION bumped 4.16.0 → 4.16.1 so the Wide-Event annotations
attribute responses to the new prompt revision.
Eight new unit tests pin: empty-comparison block render, EN/DE
locale switch, lastMonth vs lastYear language, the
"summary first sentence" instruction, and the anti-hallucination
"do NOT invent" guard.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The output-format block now advertises the new `rationale` shape
(dataWindow / comparedTo / deviation) and a fifth GROUND RULE
mandates that every rec carry one. The dataWindow MUST equal
metricSource.timeRange so the UI's mini-chart can pin to the same
window the rec was derived from — bracket-mismatch prevention is
cheaper to enforce in the prompt than to detect post-parse.
Both EN + DE prompts updated symmetrically. PROMPT_VERSION stays
at 4.16.0 since B5a already bumped it for this milestone — the
content extension is a same-version revision, not a behavioural
shape change that warrants 5.0.0.
6 new prompt-assertion tests pin the contract:
- output-format block names the three rationale fields
- enum values (last7days...allTime) mentioned for both locales
- ground rule "MUST carry a rationale" present in EN + DE
- "factual" / "sachlich" language guard against placeholders
Existing 213 AI tests still green.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Builds a SOURCES block dynamically — only references whose
applicability overlaps the metrics in the current snapshot get
listed, so a weight-only call doesn't burn tokens on ESH BP guidance.
Each line carries the id (lowercase, parser-validated), org, year,
title (locale-routed) and direct URL so the model can cite by id.
Adds a GROUND RULE that tells the model to set
`recommendation.referenceId` to the matching SOURCES id when making a
target-range or normative claim, and to leave it empty for purely
observational comparisons. The schema check from the previous commit
rejects fabricated ids — defence in depth on the prompt instruction.
Plain `getStrictInsightsSystemPrompt(locale)` stays unchanged for
back-compat with the existing assertions and any call-site that
hasn't migrated yet. The new
`buildSystemPromptWithReferences(locale, metrics)` is the path
forward.
10 unit tests pin the SOURCES-block contents, locale-routed titles,
deduplication when metrics repeat, and that the existing scope-
hardened guards (refusal pattern, citation cross-check) survive.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Recommendations now carry an optional `referenceId` that the parser
checks against the curated bundle from the previous commit. A
fabricated id ("invented-guideline-2099") fails parse so the model
cannot synthesise a citation for a guideline that does not exist —
defence in depth on top of the prompt-side instruction.
Optional in v1.4.16 so existing payloads still validate; v1.4.16
phase B5c ratchets it to required when severity >= "important". Also
bumps PROMPT_VERSION to 4.16.0 for the system-prompt update landing
in the next commit.
8 unit tests pin the accept-known / reject-fabricated / mixed-payload
behaviour and the round-trip preservation of referenceId through the
strict response schema.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Phase C1 (v1.4.15) — adds the v1.4.15 baseline scope-hardened prompt.
New file `src/lib/ai/prompts/insight-generator.ts` exports
`getStrictInsightsSystemPrompt(locale)` and a stable `PROMPT_VERSION`
tag (`4.15.0`) so future iterations ratchet the prompt without
breaking deterministic tests. The prompt's load-bearing instructions:
- Role: clinical-context summariser ONLY. Explicitly forbids
diagnosis, prescription and out-of-scope answers.
- Out-of-scope refusal pattern: when the snapshot is empty or off-
topic, the model returns a fixed JSON refusal payload (also
exported as `OUT_OF_SCOPE_REFUSAL_EN/DE` so tests can pin it
against the strict response schema).
- Zero-hallucination guard: every recommendation MUST cite a
specific snapshot field via `metricSource`; missing → omit.
- Citation cross-check: every recommendation's metricSource must
also appear in `citations[]` (enforced by the schema parser).
- Generic guideline targets only: ESH/ESC 2024 < 140/90 mmHg, AASM
≥ 7 h sleep, Saint-Maurice 2020 ≥ 8 000 steps; explicitly
forbids citing WHO as the source for a step number.
- Doctor-consult call-to-action required for every actionable
recommendation.
- JSON-only output, no markdown fences.
The prompt is NOT yet wired into `/api/insights/generate`. The route
continues to consume the rich legacy schema (`{summary, classification,
findings, correlations, dataQuality, ...}`) which the existing
`<InsightAdvisorCard />` and `<InsightsCard />` UIs render. The
integration step is scheduled for v1.4.16 alongside the UI migration —
see `docs/audit/v1416-ai-roadmap.md` (lands in the next commit of this
phase).
Tests: +18 (1005 → 1023 unit). Pin both locale variants for
diagnosis/prescription forbiddance, citation cross-check instruction,
ESH/ESC 140/90 generic guidance, doctor-consult CTA, fabricate-no-
measurements rule, and out-of-scope refusal pattern. The refusal
payloads are also fed through the wrapper to prove the model can
return them verbatim and the wrapper passes them through cleanly.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Bucket D phase 1 of the v1.4.3 polish pass — the AI insights felt
"static" because (a) findings repeated phrasing with no concrete
numbers and (b) the inline-chart machinery existed but was prompted
permissively, so the model rarely used it.
Two concrete moves, scoped to ship in this hotfix:
1. **`metric:MOOD` is now an allowlisted chart token.** Renderer in
`<InsightAdvisorCard>` branches on `tokenKind(token)` — measurement
tokens still mount `<HealthChart>`, but `metric:MOOD` mounts the
dedicated, self-fetching `<MoodChart>` instead. The mood timeline
was previously the most under-served by the AI prose because it
couldn't be charted inline; now the model can illustrate adherence-
risk and mood-drift findings with the same chart users see on the
/mood page. Drift test was updated in lockstep — the v1.4.2 guard
that asserted MOOD was excluded now asserts it's present, plus a
new guard asserts COMPLIANCE is still excluded (no self-fetching
wrapper exists yet for `<ComplianceLineChart>`; ship that in v1.5).
2. **Prompt grew an EVIDENCE CONTRACT and a forbidden-phrase list.**
The base system prompt (DE + EN both) now requires every
`findings[]` entry to put a concrete number from the snapshot in
`value` ("138/85 mmHg", "+0.4 mmol/L vs. 30d-avg") instead of
adjective prose ("slightly elevated"). Findings without a snapshot
anchor MUST be omitted — variable cardinality 0..8 explicitly
stated, sorted by salience, NO padding. The forbidden-phrase list
blocks generic boilerplate that signals ungrounded output: "achte
auf ausreichend Schlaf", "drink enough water", "regular exercise",
"consult your doctor" (except in the disclaimer field which exists
precisely for that line). The chart-token instruction flipped from
passive ("Du DARFST") to active ("Bevorzuge Tokens immer dann,
wenn …") with three explicit triggers — temporal claims, threshold
references, window comparisons — that reliably surface chart-worthy
findings.
Carved out of v1.4.3 for v1.5: telescoping multi-resolution payload
(14d daily + 10w weekly + 21mo monthly + yearly summary per QA
research 1) and the evidence-ref output schema extension (QA 2).
Both touch the prompt's input shape and would change every cache
key + token bill — they want their own phase.
Tests + typecheck green (671/671 — one new chart-tokens drift
guard).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* Revert "revert: roll source tree back to v1.4.0 to restore production"
This reverts commit e444a90b10.
* fix(v1.4.2): summaries.WEIGHT + medications array guards + healthcheck IPv4
Three production bugs surfaced after the v1.4.0 deploy stabilized:
1. `TypeError: undefined is not an object (evaluating 'E?.summaries.WEIGHT')`
on /dashboard and /insights for users without weight readings —
the optional chain stopped at `data` when it needed to also cover
`data.summaries`. Fixed: `data?.summaries?.WEIGHT` (one level deeper).
2. `TypeError: y?.filter is not a function` on /medications — the
medications query value was non-array (likely a stale
service-worker response from an older API shape). Replaced with
`Array.isArray(medications) ? medications : []` so the page is
immune to any future shape drift.
3. Healthcheck-induced 503 outage (already in 1.4.1 — included here
so 1.4.2 is the single coherent release). The docker-compose
healthcheck used `localhost` which busybox-wget resolves to IPv6
::1; Next.js standalone listens on IPv4 0.0.0.0 only. Pinned
to 127.0.0.1.
This release also includes everything from v1.4.1 (which never
published a clean GHCR tag): the per-section admin extraction, the
testcontainers integration suite, the Playwright + axe-core E2E
foundation, the moodLog SSRF fix, the central error-redaction in
WideEventBuilder + Glitchtip, the medical-citation drift fixes
(ESH 2023, Saint-Maurice attribution, steps source), and the docs
sync.
Co-Authored-By: Marc-André Bombeck <mbombeck@gmail.com>
Production at healthlog.bombeck.io has been 503-ing since the v1.4.1
deploys started landing on apps-01 (Coolify). The container boots —
Next.js prints "Ready" and the pg-boss workers run — but never
accepts HTTP on :3000, so the Docker healthcheck fails and Traefik
takes the upstream out of rotation. A manual restart, a Coolify
force-rebuild, and a docker-compose pin to the GHCR :1.4.0 multi-arch
image all failed to bring the site back up — Coolify rebuilds the
image from main HEAD on every deploy regardless of the compose
directives.
This commit resets the working tree to commit 21bd46d (v1.4.0
release). Same content that's been running for self-hosters since
yesterday's tag-and-release. The next Coolify deploy will build
from this tree and produce a healthy container.
The v1.4.1 work is NOT lost:
- PRs #144, #145, #137, #146, #147, #148, #149, #150 remain in
git history.
- Their commits are still tagged (`v1.4.1`), still on the GHCR
multi-arch image (`ghcr.io/mbombeck/healthlog:1.4.1`), still in
the GitHub Release notes.
- Self-hosters who have already pulled the v1.4.1 image keep it.
- Local development continues from main HEAD with the v1.4.1
code — the regression only surfaced under the Coolify build
flow.
Re-applying v1.4.1 to production will need a separate cycle to
reproduce the runtime failure under the Coolify build path. That
work is tracked in docs/ops/v141-followup-issues.md (added back
when the tree is reapplied) and the deploy gating in
.github/workflows/e2e.yml will catch this class of bug going
forward.
No DB migration. No env-var change. No API contract change.
Co-Authored-By: Marc-André Bombeck <mbombeck@gmail.com>
The v1.4.1 audit pass turned up one CRITICAL, two HIGH, and four
medical-citation drift findings. This commit addresses everything
that's safe to land in a hardening release; deeper architectural
fixes (idempotency-race transactional rewrite, encryption-key
fallback gate, refresh-token reuse-detection serialisation, moodLog
secret HMAC lookup column) are tracked for v1.4.2 in
docs/ops/v141-followup-issues.md.
Security
--------
CRITICAL — moodLog SSRF
src/lib/validations/moodlog.ts now refines the credentials URL
with isPublicUrl() so an authenticated user cannot store
http://169.254.169.254/ (cloud metadata) or RFC1918 hosts.
src/lib/moodlog/sync.ts re-checks isPublicUrl(baseUrl) at the
fetch site (so legacy rows stored before the credential guard are
also refused) and switches to redirect: "manual" + 3xx → fail so a
public host cannot 302 the request to an internal target with the
user's apiKey on the redirect hop. New unit test
src/lib/validations/__tests__/moodlog.test.ts asserts the guard
rejects 169.254.x.x, 10.x, 172.16.x.x, 192.168.x.x, 127.0.0.1, and
localhost.
HIGH — error-message secret leakage
New src/lib/logging/redact.ts redacts Bearer tokens (incl. our
hlk_/hlr_), Telegram bot URLs (bot<digits>:<token>), and
query-string secrets (?secret=, ?code=, ?token=, ?api_key=). The
redactor is called from WideEventBuilder.setError() — every error
reaching Loki is scrubbed once, centrally — and from the
reportToGlitchtip() call in api-handler.ts so the Glitchtip
incident UI is also protected. New unit suite covers the four
patterns plus over-redaction (Bearer's \\S+ greedily consumes
anything up to the next whitespace, which is the safer side of
the trade-off).
Truthfulness — citation drift fixes (audit found 0 hallucinations,
4 drift items)
- messages/{en,de}.json bpClassificationTitle and avg30dEsc:
"ESC/ESH 2018" → "ESH 2023". User-visible on the dashboard and
doctor-report PDF. The numeric thresholds are unchanged from
2018; the 2023 update is ESH-only since ESC withdrew from
joint authoring.
- src/lib/analytics/classifications.ts: section header,
getBpTargetsByAge() docblock, and inline comment updated to
cite ESH 2023 with the same "numerically unchanged" caveat.
- src/app/api/insights/targets/route.ts:375: source label "WHO"
→ "Saint-Maurice JAMA 2020". The AI-prompt anti-pattern guard
explicitly forbids citing WHO for a step number; this surface
was the last "WHO" mislabel in the codebase.
- Saint-Maurice "mortality plateau 8000-12000" attribution
softened to "continued dose-response benefit through ~12,000
steps/day, not a plateau" in src/lib/medical-citations.ts,
src/lib/analytics/effective-range.ts,
src/lib/analytics/classifications.ts, and both AI prompts. The
original JAMA 2020 paper shows continuing benefit (HR 0.49 at
8k vs 4k, HR 0.35 at 12k); the plateau-shaped finding belongs
to Paluch 2022 Lancet PH (PMID 35247352), not Saint-Maurice.
Quality gates
pnpm typecheck clean
pnpm test 669 / 669 (was 658; +11 from new suites)
pnpm test:integration 10 / 10 (untouched)
pnpm lint 0 errors
* feat(insights): inline charts in AI findings via allowlisted metric tokens
Lets the AI insight advisor inline a Recharts panel directly under the
prose paragraph it talks about — e.g. a finding centred on systolic BP
renders the BP chart immediately beneath itself, instead of forcing the
user to scroll back to the dashboard charts.
Tokens are routed through a server-side allowlist:
- 13 fixed strings (one per MeasurementType plus MOOD and COMPLIANCE).
- A drift test fails if a new MeasurementType is added without a token.
- The greedy `[A-Z_]+` regex caps the parse so trailing junk like
`metric:WEIGHT' onclick='alert(1)'` cleaves cleanly into the safe
metric and inert React text — there is no markdown / no eval path.
- Hallucinated tokens (`metric:NUKE`) are silently dropped.
- The visible prose is run through `stripChartTokens` so the literal
token never reaches the DOM.
Prompts (base + 7 domain prompts, EN + DE) tell the model it may embed
exactly one of the allowlisted tokens inside `summary` or a finding's
`label`/`guideline` — nothing else has any effect.
Co-Authored-By: Marc-André Bombeck <mbombeck@gmail.com>
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix(insights): drop metric:MOOD and metric:COMPLIANCE until dedicated charts exist
Review-pass M1: those two tokens routed through HealthChart, which
validates `type` against the `MeasurementType` Zod enum. MOOD and
COMPLIANCE aren't in the enum, so the request 422'd and the chart
panel rendered "no data" — silently degrading the most-promoted UX
path under prose that explicitly talked about the user's mood or
adherence.
Allowlist + every prompt now lists only the 11 tokens that actually
render a real chart. The drift test inverts the previous "must
include MOOD/COMPLIANCE" assertion to "must NOT include them",
locking the contract until dedicated MoodChart / ComplianceChart
components ship.
494 tests green, typecheck clean.
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
