Bring the new physical clinical signals onto the MCP read surface through
the existing rollup-backed reads. Grip strength, pain (0-10 NRS), waist
circumference, and waist-to-height ratio now resolve in get_metric_baseline,
compare_metric, and detect_changepoints, are discoverable through search
(present-only), and hydrate through fetch (metric:<KEY>).
These signals sit off the Coach snapshot by design, so the MCP layer owns
an explicit exposure allowlist and consumes the signal registry only for
grounding (backing measurement type, unit, population band). The PHQ-9 /
GAD-7 mental-health screeners and the environmental signals are absent from
the allowlist, so they never resolve through any read tool. The longevity
lab panel is already reachable through get_labs and the lab resource
template; no change needed there.
Add the opt-in Environment module (default off), its Settings surface (home
location search, travel overrides, backfill, with Open-Meteo attribution), the
gated API routes (overview, home, geocode, travel CRUD, backfill), the nightly
pg-boss fetch job with a lookback window plus on-demand backfill, the query
keys, six-locale strings, and the regenerated OpenAPI. The module performs an
outbound weather fetch tied to a coarse location, so it ships dark and the user
turns it on deliberately; off means no job, no row, no egress.
Register the seven environmental-exposure signals through the signal registry
as a new "environment" kind (correlation-eligible; off Coach/MCP/FHIR in v1),
and fold their daily series into the correlation engine as lagged behaviour
channels. Weather/daylight now pair against mood, sleep, and vitals through
the existing FDR / effect-size / shrinkage gates, so a thin series degrades to
absent rather than a spurious link. All env channels share one ENVIRONMENT
family so two same-day fields never lag-correlate against each other.
Add the keyless Open-Meteo client (historical archive + geocoding) routed
through safeFetch, the per-day location-resolution + fetch/upsert service
(travel override wins over home, then degrades silently), and the shared
environmental-exposure field table the registry and correlation engine both
read. The base URL is operator-overridable for a self-hosted instance; the
fetch stays server-side so a private/LAN host is not blocked.
Add the opt-in environmental-context store: per-day EnvironmentContext
observations (temperature, daylight, sunshine, precipitation, pressure,
humidity, cloud, weather code) keyed by user + day and location, plus the
manual EnvironmentTravelLocation overrides and the coarse home-location
columns on the user. Location is city-level by design; the weather model
needs no finer than ~10-25 km and no GPS track is ever stored.
Document the /api/documents/inbound/* surface in the OpenAPI registry and
regenerate the spec. Add the inbound-documents copy across all six locales,
including the non-diagnostic disclaimer and the module label/description.
Add the opt-in inboundDocuments module (off by default, like the MCP
endpoint): ingesting a clinical document egresses it to the OCR/vision
provider, so the surface ships dark and the user turns it on from the
Modules hub. The born-gated /documents page carries the prominent
non-diagnostic disclaimer (we read, we don't interpret; nothing is saved
until you approve it; only your clinician can interpret these results),
uploads a document, and walks each extracted fact: source provenance and
confidence are shown, low-confidence facts are blocked from approval until
edited, and the confirm step commits the approved facts.
Ingest an uploaded doctor report / discharge letter through the existing
dedicated OCR/vision provider rails (the v1.22 document-scan provider/key,
reused — no new provider) and transcribe structured facts into staging.
The safety line is extract, never interpret: the prompt frames the document
as untrusted data to reproduce verbatim. Diagnoses map to Condition,
measured values to Observation, medications to MedicationStatement — with
STATED status only. A code survives only when the document writes it and its
system matches the resource (SNOMED/ICD-10 for a diagnosis, LOINC for a
value, RxNorm/ATC for a medication); nothing is inferred, no value is
range-flagged, no condition is linked to a medication. Every fact carries
per-field provenance and a confidence score; a fact below the confidence
floor fails closed — it cannot be approved until the user edits it.
Routes (apiHandler + Zod + session-narrowed userId, opt-in module-gated):
- POST/GET /api/documents/inbound — upload+extract (vision or local-OCR
text), and list. The raw document is stored encrypted at rest.
- GET/DELETE /api/documents/inbound/[id] — review detail; soft-delete.
- PATCH .../facts/[factId] — correct a staged fact before approval.
- POST .../confirm — the only write path: approved facts flow into the
labs / conditions / medications stores through their normal create paths;
rejected facts are discarded; low-confidence facts are refused.
Store an uploaded doctor report / discharge letter and stage extracted
structured facts for review. Two models:
- InboundDocument: the uploaded document, raw bytes encrypted at rest via
the shared AES-256-GCM Bytes codec (content_encrypted), with queryable
metadata (kind, mime, size, status, report date).
- ExtractedFact: the review-then-confirm staging row — fact type, status,
per-field provenance, a confidence score, and a needs-review gate, plus
the FHIR-staged payload (stated codes/status only) as JSONB.
Wire content_encrypted into the encryption-key rotation registry and the
rotation script so a key drop never strands a stored document.
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 language switcher wrote the choice to localStorage, the
`healthlog-locale` cookie and `<html lang>` only — never to the user row.
Server-side background work (the proactive Coach nudge, the Telegram test
message) has no request cookie to read and falls back to `User.locale`;
with the column left null those messages went out in English regardless of
the language the user reads the app in.
Add `PUT /api/auth/me/locale` (idempotent, validated against the supported
locales) and have the i18n provider mirror the active locale onto the row —
on every switch and once on mount, so the column is backfilled for users
who set their language before this landed. Fire-and-forget: a 401 on a
public page or an offline blip never blocks the UI flip; the cookie stays
the first-paint source of truth.
DELETE /api/measurements/by-external-ids now only tombstones rows the iOS
client minted through its HealthKit ingestion path (source APPLE_HEALTH).
An externalId the app never minted — an integration- or manually-sourced
row that happens to collide on externalUUID — falls outside the predicate
and is a no-op rather than a delete. Defence-in-depth so a foreign
HealthKit sample with a colliding UUID cannot be tombstoned by the
periodic reconciliation. The delete stays user-scoped as before.
Add a route test proving a foreign-origin externalId is not deleted, and
regenerate the OpenAPI spec for the narrowed contract.
The structured lab-create path (POST /api/labs) now accepts an optional
`source` marker ("MANUAL" | "OCR"). The on-device-OCR ingestion path posts
"OCR" so a reading captured from a phone-camera lab photo records its
provenance; the raw image never touches the server on this path. Omitting
the field reads as "MANUAL", so the existing hand-entry contract is
unchanged. The value is narrowed by a closed Zod enum and assigned
field-by-field, never spread from the body. Mirrors the "OCR" source the
server-side /api/labs/ocr/commit path already stamps.
Regenerate the OpenAPI spec for the widened request body.
The PHQ-9 / GAD-7 screener totals and the physical clinical measures
(grip strength, pain NRS, waist circumference, waist-to-height) are
continuous numeric series. Register their metric:<TYPE> tokens so the
chart-token drift guard passes and the AI insight prose can reference
them through the generic chart renderer.
Add the opt-in PHQ-9 / GAD-7 questionnaire surface at /insights/mental-wellbeing:
instrument picker, 0–3 item scale, server-scored result with the validated
severity band, the verbatim Pfizer/PHQ attribution, the screening-not-diagnosis
disclaimer, and a calm crisis-resource card on a positive item-9. The surface
deliberately does NOT mount the shared Coach-launch card — mental-health item
content stays out of the AI.
- i18n: full mentalHealth block plus the six new measurement-type labels and the
longevity-marker catalogue names/descriptions across all six locales
(de/en/es/fr/it/pl). Instrument item wording uses the validated German text and
the canonical English elsewhere (re-wording invalidates the score).
- OpenAPI: regenerate the contract for /api/mental-health/assessments (response
excludes raw item answers by construction).
- Exclude the new manual / instrument types from the HealthKit-counterpart guard.
Generalise sleep debt onto the existing per-metric source-priority picker
(a new sleepDebt ladder, native-above-computed, default WHOOP > Oura > Polar >
computed) instead of assuming one provider. The rhythm read resolves the active
source off the ladder and carries it on the DTO; when the active source is our
own COMPUTED engine — every user today, since no provider ships a native
sleep-debt balance — the Sleep page explains what the figure means and that it
differs from a wearable's native number. The computed model itself is unchanged
and correct (a short rolling balance of need minus sleep, surplus-credited);
only stale comments that still referenced the old 14-night window are corrected.
Add a per-user toggle that turns off the proactive ambient example suggestions
(the daily seeded opener on the Coach hero). The flag rides the existing coach
notification-prefs blob (coach.ambientSuggestions, default on) — no schema
change — and a shared hook makes it the single source every ambient suggestion
surface consults, so the seeded opener and its fetch both stand down when off.
The weekly/monthly review card rendered an internal methodology line plus the
raw MeasurementType tokens it drew on ('Based on: WEIGHT, BLOOD_PRESSURE_SYS…'),
which read as broken and added no value. Drop the provenance caption entirely so
no enum token is ever user-facing, and hide the card whenever there is no real
generated narrative (no 'preparing' husk), consistent with the hide-when-empty
pattern. The query keeps polling in the background, so the card appears the
moment a narrative lands.
The short-horizon trajectory tile read as a wall of text with no clear value
on the metric pages. Drop it from the weight page and the shared HealthKit
metric page (the opt-in forecast slot is removed entirely, not left dead), and
delete the now-orphaned tile + fan components. The trajectory engine stays for
the Coach narrative; only the metric-page surfacing is removed.
The composer mic advertised dictation but errored on tap in environments where
the Web Speech API cannot serve. Gate the control on the API being present AND
a secure context, map the locale to a region-qualified recognition language,
and retire the button for the session on a permission refusal. When dictation
is genuinely unavailable the mic hides rather than showing a control that
errors on every tap.
The ambient example opener was stretched to the full composer width, leaving
a large empty tail that read as broken. Size it to its text instead (capped at
the full width) and guarantee a single line: the question truncates with an
ellipsis on a narrow phone rather than wrapping or forcing a horizontal scroll.
Add a new "Medical history" (Anamnese) Settings section that hosts the two
structured-record managers — allergies and family history — each a
list + add/edit sheet + delete-with-confirm built on the shared query-key
factory and the ResponsiveSheet pattern. It sits between the illness journal
and the preventive-care reminders and is always shown (not module-gated, like
Vorsorge), since these are foundational health-profile records.
The section carries a plain non-diagnostic note ("your own records, not a
medical diagnosis"). Full i18n across all six locales (de/en/es/fr/it/pl).
Emit `AllergyIntolerance` and `FamilyMemberHistory` resources in the
health-record document bundle. Vendor-blind and non-diagnostic, matching the
illness `Condition` stance: the user's own label rides `code.text` (never a
machine-guessed clinical code); only the FHIR-fixed value sets — allergy
category, clinical/verification status, the v3 RoleCode family-member concept —
carry codings. Every resource is marked patient-reported (allergy
`verificationStatus: unconfirmed` plus an explicit "not a clinical diagnosis"
note) so a clinician's viewer never reads it as an adjudicated finding.
The records are loaded owner-scoped in the export route and folded into the
fhir + package bundle formats with their own Composition sections.
Add the `/api/allergies` and `/api/family-history` endpoints (list / create /
read / update / soft-delete), each wrapped in `apiHandler` with Zod
`safeParse` + `returnAllZodIssues`. `userId` is always narrowed from the
session/Bearer — never a body field — and the Prisma `data` is built
field-by-field (no mass assignment). Creates wrap in `withIdempotency`. The
free-text reaction/note are encrypted before write and decrypted fail-soft on
read via the server-authoritative DTOs.
Register the query-key factory entries and the OpenAPI route tables (new
`Records` tag); regenerate `docs/api/openapi.yaml`.
Introduce two structured health-record tables, kept as reference records
(not time-series signals):
- `allergies` — AllergyIntolerance-style: substance + category + type +
severity + status + optional onset. The substance label stays queryable
plaintext; the free-text reaction and note are AES-256-GCM encrypted
(`reaction_encrypted` / `notes_encrypted` BYTEA).
- `family_history_entries` — one condition per relative: relationship +
condition label + optional age-at-onset; the free-text note is encrypted.
Both are owner-scoped and soft-deleted. Migrations 0215/0216 are additive
and idempotent. The three new encrypted columns are registered in
ENCRYPTED_COLUMNS and wired into the key-rotation script, so a key drop can
never silently strand them undecryptable.
Add the validated mental-health self-assessment surface, beside mood tracking
(never replacing it) and off by default:
- MentalHealthAssessment stores per-item answers in a single AES-256-GCM Bytes
blob (registered for key rotation); only the server-authoritative total,
severity band, and item-9 flag are denormalised. The total projects to a
PHQ9_SCORE / GAD7_SCORE measurement row so the trend rides existing infra
without ever exposing item content.
- Item-9 safety: any non-zero PHQ-9 self-harm answer surfaces a calm,
locale-aware crisis-resource set (DE: TelefonSeelsorge 0800 111 0 111 / 112;
international fallback) and stamps crisisShownAt. No clinical interpretation,
no AI ingestion of item content, no third-party alerting.
- API + OpenAPI: POST/GET /api/mental-health/assessments; the response excludes
raw item answers by construction. Required Pfizer/PHQ attribution lives in the
instrument module, rendered verbatim.
The screener scores are kept off the Coach snapshot and MCP surfaces, and out of
exports by default — item content never reaches the AI pipeline.
Add the clinical-signals wave's new measurement types and wire them through
the signal registry so FHIR, correlation eligibility, ingestion, and the
measurement-list surfaces derive from one definition each:
- MeasurementType: PHQ9_SCORE, GAD7_SCORE, GRIP_STRENGTH, PAIN_NRS,
WAIST_CIRCUMFERENCE, WAIST_TO_HEIGHT (+ AssessmentInstrument enum and the
MentalHealthAssessment model that backs the screener scores).
- Registry: the six measurement/score signals plus the longevity lab panel as
kind:"biomarker" entries; the FHIR golden fixture is regenerated in lockstep.
Grip-strength and waist-to-height carry a null LOINC (NEEDS-VERIFY) and emit a
local text concept until a stable code is confirmed.
- FHIR: add the survey observation category for the screener / pain signals.
- Labs: extend the biomarker catalogue with ApoB, Lp(a), fasting insulin, and
the omega-3 index; add LOINC codes for those plus GGT and hs-CRP; add a
computed HOMA-IR helper.
- Exhaustive maps updated to keep the enum coverage, category, list-meta, and
personal-record drift guards green.
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.
CIMD client resolution swallowed every fetch failure as ssrf_blocked and
/authorize logged a bare invalid event, so an unreachable metadata host
was indistinguishable from a genuine SSRF block and the consent flow
returned invalid_client with no diagnosable cause.
Split the resolution failure into ssrf_blocked (a real private-host
refusal) and fetch_failed (timeout / connect error), carrying the
concrete SafeFetchError kind and cause as a short non-secret detail.
Thread the resolution reason and detail into the authorize.invalid
annotation behind a pinned meta shape, and cache a resolved CIMD
document for up to 24h so the consent flow does not re-fetch on every
hit.
The connect-time SSRF pin returned only the first vetted address and
attached an undici@8 Agent to Node's built-in fetch. Two failures:
- A host whose first DNS record is an unreachable IPv6 (no IPv6 route on
the container / LAN / Tailscale) failed the connect instantly, because
the single-address pin discarded the working IPv4 record behind it and
Happy Eyeballs never ran.
- Node's global fetch is backed by its own pinned undici copy; handing it
an Agent built from the project's undici throws UND_ERR_INVALID_ARG on
a dispatch-handler interface mismatch.
Hand undici the full vetted survivor set and enable autoSelectFamily so
it runs RFC 8305 Happy Eyeballs across the already-vetted IPs (rebinding
stays closed: every dialable IP passed isPublicIp in the same lookup).
Drive the pinned path through undici's own fetch so the dispatcher and
the fetch engine share one undici version.
Add an end-to-end regression that drives a real localhost-bound server
through the pinned path (not a mocked fetch, which hid the coupling),
covering the IPv6-to-IPv4 fallback, streaming, timeout, and abort.
The sleep page rendered an assessment under the duration/architecture charts
and a second one under the sleep-quality scores. The quality assessment mostly
never generated — most accounts carry no wearable sleep score — so it sat at the
foot of the page as a duplicate empty card or a redundant connect-a-provider
prompt.
Drop the quality-block assessment so the duration card is the page's single
assessment; the quality block keeps its score tiles. Remove the now-unused
grounded-note fallback and its deterministic grading helper, and the orphaned
quality-assessment message keys across every locale.
The per-metric assessment card carried the Coach hand-off as a bottom-right
text button, present on only some pages. Pin it to the card header's top-right
as a single icon button (no text label) with an accessible name and a tooltip,
and wire every assessment surface to it: the bespoke slug pages
(weight, BMI, pulse, blood pressure, mood), the generic metric scaffold, the
medication-compliance card, and the biomarker detail page already on the shared
card. Each opens the Coach with a localised, auto-sent opener narrowed to that
metric's snapshot source.
The button self-gates on the Coach triple (provider mounted, operator flag,
per-user opt-out) and the card only mounts it on the populated branch, so it
never advertises a control that cannot work. The auto-sent opener now
interpolates the localised measurement name rather than a raw token.
Replace the hand-maintained MEASUREMENT_LOINC literal and the BUCKETED_TYPES
correlation list with signal-registry projections. Both reads are byte-identical
to the previous tables (guarded by the registry-invariant test), so there is no
behaviour change — only one source of truth for each.
Introduce one declarative table describing each health signal across the
surfaces it touches — DB measurement type, detail page, correlation engine,
Coach snapshot, MCP read tool, and FHIR coding — discriminated on kind
(measurement / biomarker / score). Promote the proto-registry in
metric-status-registry.ts to the canonical definition and add thin adapters
that derive the per-surface tables from it.
The registry coexists with the enum-driven code: the DB enum stays the source
of truth for persistence and the registry sits above it. An invariant test
pins every derived table byte-for-byte to the values the hand-maintained
tables carry today, so cross-surface drift fails CI.
Marc-André Bombeck