The description of a labs category lost the status rule and the
sentence that a client never rebuilds the category, the order or the
status. Both are back as they were, with one line added: a client
that shows only the members matching a filter may summarise that
subset by the same rule.
The labs list layout gains categoryOrder, a bounded allow-list of
category keys (200 entries, 64 characters each, deduplicated, malformed
values dropped on read). GET /api/labs/overview reads the caller's own
layout and answers categories already in that order, so every client
renders them as given. Listed categories come first; keys the data does
not have are ignored; a category the order does not name follows in
the default order (catalog panels, then the person's own by label, then
other). Other left at the end of the order stays last, behind any
category added later; moved anywhere else, it stays there.
Settings > Arrangement > Labs shows a category order card while
categories are on. It lists the overview's categories under their
localised labels, sends the whole order after every move, moves the
cached overview at once and refetches it. The card says how the default
order works. The OpenAPI document carries the new field.
A read that copied "(calc)" into the unit minted a marker in "g/dL (calc)" that refused the next report's "g/dL". The note is dropped at the read and ignored in the unit comparison; any other bracket still counts.
A marker minted from a text result that stated no unit kept the printed
numbers as its range, and the first numeric reading then gave the marker
its unit without touching them, so a "30 - 100" printed in ng/mL became a
window in nmol/L. Numbers stated without a unit are dimensionless: they
stay when the adopted unit is the unity "1" and otherwise give way to the
window the first number printed in its own unit, or to none.
A merge into a target without a panel now takes over the first panel
a source carries, in the order the sources were given, so the merged
marker keeps its category. The result reports it as adoptedPanel, on
a dry run as well, and the merge preview says so before the person
confirms. A target with its own panel keeps it. The ledger does not
record panels; a merge has no undo.
The integration suite also proves the clear path end to end: an
explicit null on PUT clears panel, context and both bounds.
Refs #1349
GET /api/labs/overview now answers categories and grouped next to the
markers. A marker's category is its panel: a catalog panel in any
shipped language folds to one key, any other panel becomes the
person's own category under an opaque hash key, and a marker without
a panel falls back to the catalog panel of its name. ALIAS_PANEL
places the ten analytes that have names but no seed. Each category
carries its label in the caller's language, its members, counts per
range status and one combined status (above wins over below; no
alarm tone). grouped is true only when grouping adds something.
The list renders this as given: with groupBy set to category it shows
a disclosure header per category in both views, the person's sort
applies inside each category, and groupsOpen decides which start open.
A category opened or closed by hand stays so in this browser until the
choice changes. Settings > Arrangement > Labs gets both choices. The
overview query key carries the locale, since the labels are localised.
Refs #1349
A report that prints a text result such as "SEE NOTE" with a numeric
range beside it minted the marker without bounds: the document commit,
the scan commit, the free-text lab write and the CSV import each passed
null bounds for a qualitative reading, and the CSV row reader and the
scan review payload dropped the range before that. The marker's first
number then had nothing to be judged against.
Every mint path now passes the printed window. A range that is text
itself yields no bounds, an existing marker keeps its own, a transposed
window is not minted, and the reading itself still records no window.
The scan review shows the range on a text row that mints a new marker.
Refs #1313
GET /api/biomarkers/{id}/series answers the line labSeries on
/api/timeline draws for that marker, gated on the labs module instead of
the opt-in timeline. The window rules move into resolveTimelineWindow and
the shared query rules into withWindowRules, so both routes cut the same
window and read the same loader; all starts at the marker's first reading.
Refs #1342
`planTextLayerReads` grouped whole pages into the reads the deadline
allows, with no bound on a read's size, while the text path refuses a part
past `OCR_TEXT_READ_MAX_CHARS`. A dense report in a request's three reads
went out as reads of 12 000 characters and more, which ends at the output
limit or loses rows.
`planTextLayerChunks` now cuts a page longer than one read at line
boundaries, keeps a page per read while the deadline allows that many, and
otherwise packs pages into reads of at most twice the surface's target
(8 000 characters for the lab scan, 5 000 for the document extraction).
What the reads cannot take is read from the start, and the pages left over
are reported with the pages without a text layer: `unreadPages` on the lab
scan, `extractionIncomplete` on a document.
Refs #1311
On a host whose CPU cannot run the page renderer (x64 without AVX2, arm64
musl without LSE/RCpc), every AI read of a PDF for a provider that only
takes images failed with "Scanning PDFs needs a Claude vision provider",
which says nothing about the cause. Most medical PDFs are produced
digitally and carry every word in their text layer, which pdf.js reads
without rendering.
`prepareVisionInput` now answers a text read (`mode: "text"`) when the
renderer is unavailable on this host, the provider cannot take the PDF
whole and the PDF has a usable text layer. Summary, suggest and the
background summary send that text through their existing text mode;
"Read with AI" and the index backfill write it as the local text index it
is, with no provider call; the automatic index leaves it to its local path.
`planVisionReads` does the same for the extraction and the lab scan: text
reads by page group, with anchored provenance, and the pages without a text
layer reported as `extractionIncomplete` on a document and as `unreadPages`
on a lab scan. A supplement label PDF is read from its text layer too.
A scan on such a host now answers `documents.inbound.pdfRendererUnavailable`
and `labs.ocr.pdfRendererUnavailable` (422): this server's processor cannot
run the page renderer, so a scanned PDF can only be read by a provider that
takes PDF files directly, or as photos. The `pdfNeedsAnthropic` codes are no
longer emitted, since with a working renderer every provider reads a PDF;
the recorded index outcome keeps its `pdf-needs-anthropic` value with
corrected copy.
The extraction path no longer folds a render failure of one document into
the capability error: like `prepareVisionInput` since #776 it reports
"The PDF pages couldn't be rendered for scanning." (`extractFailed`), and
the lab scan answers `labs.ocr.extractFailed`.
Hosts that render, and providers that take PDFs whole, are unchanged.
Refs #1311
A marker minted from a text result ("SEE NOTE") has an empty unit, and a
marker with a reading has its unit locked, so the first number to arrive,
a unitless ratio included, was refused against a unit nothing had chosen.
While every reading is text the unit has nothing to contradict, so the
first number sets it. A marker that already holds a number keeps its unit.
Refs #1313
- baselines: take main's entries, keep the two ru-driven line counts (coach-prose-grounding 1091, insight-generator 1115) and regenerate the function baseline.
- messages/ru.json: translate the five unit-less markers keys the release added (labs.unit.none/noneHint, labs.ocr.errorUnitMismatchNoUnit, labs.ocr.unitDiffersBadgeNoUnit, recordImport.unitlessHint) — parity is 11 159 keys again.
Dose bank
- DRUG_UNIT learns мг / мкг / мл / ЕД / МЕ, so "2,4 мг" anchors a dose again.
- The bank matches verb-first Russian word order too ("принимайте 2 таблетки",
"пропустите дозу метформина", "начните с 5 мг"), and the Cyrillic drug names
people actually see on the box; the deferral words ("спросите врача",
"как назначено") stand those shapes down.
Cyrillic-safe regexes
- \w and \b are ASCII in JavaScript: every stem in the ru bank and in
population-norms/ru.ts is [а-яё]*, and the word edges are lookarounds
(?<![а-яёa-z]), so «высокий риск» and «нормальный диапазон» match again.
- coach-prose-grounding: Russian month names in the genitive, a space as the
thousands separator in parseLocaleNumber and numFrag, and Cyrillic-safe
edges around the written-date pattern.
Registered everywhere a locale has to be
- targetLanguageName() returns "Russian", so the coach, the period narrative
and the document descriptions stop saying "write in English".
- i18n-key-tool.mjs, split-description.mjs, LOINC name normalisation (it
stripped Cyrillic, so no Russian lab name resolved), HOST_TLDS (ru/by/kz/ua),
no-key-fallbacks (32 tables), country-label, the AUDIT-C standard drink.
- docs/api/openapi.yaml regenerated.
Questionnaires
- The PHQ-9 / GAD-7 source comments no longer claim no validated Russian
version exists (Zolotareva 2023; Pfizer's official screeners).
- WHO-5 items are gender-neutral: «чувствовал(а)».
- "body fat" and "fat mass" both read «Жировая масса»; body fat is now
«Процент жировой массы», which is what the two metrics measure.
Tests
- ru in the 13 locale tables, plus mood, onboarding, instruments, clinician
view, status summary, describe screen, citation coverage and LOINC.
- i18n-no-dot-separator: the ru bundle is exempt from the dash rule (a spaced
dash is Russian punctuation, not a fragment join); the middle dot still
fails there.
- Two 800-line baselines raised by the 12 and 5 lines this change adds.
pnpm typecheck, pnpm openapi:check and the full suite (36 316 tests) pass.
A ratio (cholesterol/HDL, albumin/globulin) or an index such as INR has
no unit, and every lab write path refuses a numeric value without one.
That refusal stays: an empty unit usually means the extraction dropped
it. Instead the value is stored as the UCUM unity "1", chosen on purpose.
The unit field when a marker is defined, on a scanned report's row and
in the document review edit now carries a "No unit" checkbox that sets
"1". The CSV import takes 1 in the unit column, as the template and the
import sheet say; an empty cell is still refused, and other spellings
such as "ratio" or "-" stay the literal unit they always were.
"1" compares as a unit of its own: it matches only itself, so it is
refused under a marker kept in mg/dL and the other way round.
Refs #1313
Full Russian catalog (11,154 keys, 1:1 with en, identical nesting) and every
locale wiring point the app declares, so ru is a first-class locale instead
of an English fallback:
- messages/ru.json, project.inlang/settings.json, i18n boot script
- i18n config / load-locale, format-locale (ru-RU), date-fns ru
- labs: parse-reference-range RANGE_PROSE for Russian lab sheets
("3,5 - 5,0", "от 3,5 до 5,0", "до 5,6", "не более 5,6")
- AI: citation-coverage normative stems, coach system prompt and insights
reply footer (Russian prompts must override the hard-coded
"Respond in English"), population-norm patterns
- safety: outbound-screen Russian imperative/dose/unit/causality bank
- mental health: PHQ-9, GAD-7, WHO-5 and SCI wording
verify-message-catalogs.mjs passes for all 10 locales.
A fixed preference list goes stale at every retirement: when GPT-5.5
retired for ChatGPT sign-in on 2026-10-14, every model the shipped list
named was refused and Codex answered 503 until a release changed it. The
working model also sat in one slot for the whole process, so two sign-ins
on different plans overwrote each other's model and the vision gate read
whichever had answered last.
The client now reads the models the account is offered the way the Codex
CLI does (GET /backend-api/codex/models?client_version=..., same sign-in
as the responses call; shape from codex-rs/protocol/src/openai_models.rs)
and walks: CODEX_MODEL first; our preference order kept to what is
offered; the other offered models in the list's priority order, leaving
out hidden, specialist and frontier-tier entries; the rest of our order
last, so the walk never holds fewer models than before. With
CODEX_MODEL_FALLBACK_CHAIN set the order is the operator's and the list is
not read.
The list is a hint, never a gate. The read goes through safeFetch with a
5 s bound and a 4 MiB cap, is shared by concurrent requests, cached per
sign-in for an hour, and a failed read waits ten minutes. Any failure
leaves the static walk, one ai.codex.models_unreadable warning per sign-in
reports it, and each request that builds the walk annotates a pinned
codex.models.* shape.
The working model, refused models and the list are kept per stored
credential (a person's connection, or the operator-shared central one),
bounded by TTL and a 1000-entry LRU, with a digest of the account id so a
credential reconnected to another account starts empty. A model the list
offered that then answers model_not_found goes to the back of that
sign-in's line for six hours. When the list names a model's input
modalities, the Codex vision gate reads them; otherwise the model family
decides, as before.
Refs #1287
A read a person started now runs as interactive work of their account, and
the document jobs as background work of theirs, so the reader's queue can
order and cap them. When the reader is busy or stopped before it answered,
a lab scan, label read or document read fails with aiRuns.readerBusy (503,
nothing read or charged) instead of a misleading unreadable-file error, and
the index and summary jobs throw so the queue runs them again rather than
recording an outcome about the document.
The lab scan runs only in the background worker, which hands it the
run's deadline, but its body still took the schedule as optional and
planned a missing one without a bound: a twenty-page report as forty
model calls. Nothing calls it that way today; the signature allowed the
next caller to, and so did every read planner beneath it.
The scan and the planners (maxReadsFor, planTextReads, planVisionReads,
planInboundTextReads, planInboundReads) now require a schedule. A run
with room for every read says so with an unbounded one; a request uses
SYNCHRONOUS_READ_SCHEDULE. No route, wire or response changes.
The lab-scan read asks every provider for no reasoning. On an
OpenAI-compatible gateway or a local server that "none" is a request the
model behind it may ignore, so these wires now add the low thinking budget on
top, the same rule the file already holds for a model that always thinks:
the answer keeps its full allowance either way.
Refs #1276
Extracting lab values from a stored document still sent the whole text
in one call. A multi-page report produced more JSON than one call's
output ceiling, the answer was cut mid-fact, the parse failed twice, and
the read came back as 422 "Couldn't read the document. Try a clearer
copy." The lab scan had already learned to read the same report a page
or a part at a time, but each surface carried its own copy of the read,
so the document path never got it. It also ran under the shared 60 s
timeout, dropped every fact past 120 (or every fact when one did not
match the schema), and charged a flat reservation.
The read now lives once, in lib/documents/ocr-read.ts and ocr-plan.ts:
the per-read limits, the corrective retry, the salvage of a cut
answer's complete rows, the wire re-check and budget reservation before
each read, and the planning of a PDF a page at a time and text in parts
at line boundaries. The lab scan and the document extraction (the
extract route, its background run and the lab auto-staging) both read
through it, and the background run plans its reads on the same deadline
as a lab scan. The per-read budget moves to a shared metered budget.
The document path validates the answer fact by fact, keeps the lab
scan's row cap (400), and says why nothing came back: 422
documents.inbound.outputLimit when the reads stopped at the output
limit, 429 when the budget refused them, extractFailed only for answers
that were not the schema. A run whose reads were cut or not reached
reports `incomplete` on its result.
A guard holds the class: the output ceiling is set only in the core,
both surfaces read through runOcrReads, both runs share the deadline,
and a lab read and a document read go out under the same limits.
Refs #1257
The beyond-horizon line said the range held "for more than {years}
years, the span your readings cover", but the horizon is capped at three
years, so a ten-year history was told its readings spanned three. The
trend now says whether the cap or the span set the horizon
(`horizonCapped`), and the card words each case on its own in every
locale.
A marker whose newest reading is more than a year old is now reported
as of that reading (projection "stale"), with no exit date and no
already-outside verdict. The projection horizon is capped at the span
the readings cover, so a line is never carried further ahead than the
data reaches back. The detail read keeps the newest 2000 readings
rather than the oldest.
The biomarker detail read now carries a trend: the least-squares line
through every numeric reading of the marker (all stored in its unit), with
the slope's 95 % interval and p-value. It needs three readings over at
least a year. The line is placed against the marker's band, and an exit
date is given only when the interval excludes zero, the line is inside the
band today and reaches a bound within three years. The detail page words
it as a straight-line projection, not a forecast.
A re-check or reservation that failed itself stopped the scan as
"unavailable", and the review screen said AI had been turned off. It now
stops as stoppedBy error with its own message in every locale, and the
failure is reported as one: an error signal and the worker error
reporter. A scan that failed that way before any row answers 500
aiRuns.failed.
The overspend booked before a further read is now net of the cached
share, as the settlement books it. A reservation that names no known
owner stops the scan instead of taking the user plan's larger cap.
A page's text layer is cut at the last whole line; only a page whose
first line alone runs past the cap keeps part of it, cut at a space or
hard, rather than collapsing to the bare cut mark, and an endless line is
no longer read past the cap. The unused per-call text limit is gone. The
run result's description names every outcome a stopped scan can have.
The text layer went to the model as the authority for digits. It is not
one: a scanned PDF often carries an invisible OCR layer with its own
mistakes, a subset font can map to the wrong characters, and a crafted
PDF can carry invisible text that differs from what the reviewer sees.
The prompt now calls it a hint only, makes the image authoritative, forbids
adding a value the image does not show, and asks for a low value
confidence where the two disagree. The layer is fenced with the document
text markers, which it cannot close, and so is text mode's OCR'd text.
Each page's layer is capped while it is collected, and a read shares its
text budget out per page, cut at a line and marked, so a long first page
no longer pushes the later ones out.
A further read now first books what the reads so far cost beyond their
reservation, then its own ceiling, both against the cap of the owner the
route judged the first read by, so the counter the next read is judged
against never lags. The wire is re-checked before every read, the first
included. A re-check or reservation that itself fails stops the scan with
the pages read rather than failing it, and a scan stopped before any row
answers with the stop's reason (budget, or the wire's own refusal) instead
of an unreadable page.
The route reserved one read's budget and checked the wire once, and a
20-page report then ran up to 40 calls for many minutes on that single
admission. Every read after the first now reserves its own share of the
day's budget and asks the wire again (aiEgressRefusal) before it is sent;
when either refuses, the scan stops there, keeps the pages already read
and names the rest with stoppedBy budget or unavailable. The run settles
against everything it reserved, with the provider's reported usage net of
its cached share, and a scan that fails after several calls is charged
for them instead of refunded in full.
A rendered PDF page now goes out with its own text layer, read by pdfjs
beside the image, so a digitally produced report's digits, decimal
separators and units come from its characters rather than from a 1600 px
picture. Splitting the PDF into single-page documents would need a PDF
writer the project does not ship; the text layer needs none and helps
every provider. A scanned page has no text layer and reads as before.
Codex's cut reply keeps the text it streamed (on a non-enumerable
property, so no log or event serialises it), and its closed rows are
salvaged like every other provider's. The merge folds a reading only into
one an earlier page listed, never two rows of the same page, and the
printed range is part of the key. OCR'd text the deadline cannot split
small enough for one read is refused up front as labs.ocr.tooLarge.
A scan sent the whole report to one call under an 8000-token ceiling and
validated the reply against a 100-row envelope. A long multi-panel report
lost everything either way: the reply stopped mid-row and failed to parse,
which the person saw as "try a clearer photo", or it held more than 100
rows and the schema refused all of them. One malformed row refused the lot
as well. Reasoning models made it worse, because the call sent no
reasoning setting and OpenAI, Codex and Claude's 5 generation reason by
default against the same output allowance.
A PDF of more than one page is now rendered and read a page per call on
every provider (up to 20 pages), as many reads as the run's deadline
allows, and the pages are merged in order with a reading printed twice
listed once. A photo, a one-page PDF on a provider that reads PDFs, and
OCR'd text up to 4000 characters stay one read; longer text is split at
line boundaries. Each read carries an explicit reasoning off, so a model
that can stop reasoning does and one that cannot gets its minimum budget
on top of the answer's. A reply cut at the output limit is detected from
the finish reason (Codex's incomplete stream included), keeps the rows
that closed before the cut and is named in the result instead of retried;
when no read produced a row the run fails as labs.ocr.outputLimit. A
provider failure after the first page keeps the pages already read.
Rows are validated one by one, the row cap is 400 for the scan and the
commit, and a report past it keeps its first 400 and says how many it
had. The run settles what the provider reported it spent rather than the
fixed reservation, so a page-by-page read still counts against the day's
budget in full.
The decimal lint covered components and app only, and sentences for
people are built in src/lib too: the weekday weight correlation printed
"0.8 kg" into a German sentence, and the no-key fallback and the period
narrative's fallback spelled fractions with a full stop. Those three use
the new formatDecimal from format-locale with the reader's locale. The
rule now covers src/lib and src/hooks; text for the model, operator log
lines, SVG data, zone checks and wire values a client re-formats carry a
reasoned directive.
Output of `node scripts/strip-planning-tags.mjs --write`: 3,157 comment
lines in 1,308 files lose the work-item identifier at their head. Release
versions and issue references stay; nothing outside comment text
changes, which the script checks per file against a comment-free
printout. healthlog/no-planning-tags is enabled at error level with this
commit, so the tree it lands on is clean.
Adds messages/nl.json (AI-initial, informal je/jij register, full key
parity with en.json) and registers nl everywhere the locale list lives:
config, loaders, Intl/date-fns mapping, zod enums, OpenAPI spec, scripts,
the managed-profile picker and the notification locale guards.
Dutch follows the Korean pattern for the AI surfaces (English body plus a
Dutch reply-language footer, no safety-contract matrix) and gets its own
banks in the outbound safety screen (dose, risk, causal, continuation),
the prose-grounding and citation-coverage tables, the reference-range
prose and the no-key fallback copy, each with Dutch test fixtures.
PHQ-9 / GAD-7 / WHO-5 are not marked validated for nl yet: the Dutch
wording has not been read against the published forms, so Dutch readers
get the English items plus the existing note until it has.
The doctor report PDF printed lab values and reference ranges with one
decimal and the share page with two at most, so a PSA of 0.034 read 0.0
or 0.03 and a TSH window of 0.27 read 0.3, while the labs page kept more.
The labs page itself cut values above 1 to two decimals.
One rule now decides every recorded number (src/lib/format/recorded-number):
a stored value keeps every digit it holds, minus binary float noise, and a
value converted from the unit its report printed keeps the precision of the
printed figure. The report payload carries sourceValue for that. The labs
page, its chart and history, the PDF lab table and footnote, the share
page, the day view and the OCR review all print through it, reference
bounds included. Doses on the PDF and the share page follow the same rule.
Measurement statistics in the PDF and on the share page now share one
per-row precision: up to three significant digits but never more decimals
than recorded, so a waist-to-height ratio of 0.52 no longer reads 0.5;
glucose keeps its unit's precision.
Refs #1228
POST /api/biomarkers/{id}/merge folds markers into one in a transaction,
converting readings where the registry knows the units and refusing the
whole merge where it does not; a dry run answers the same result and
writes nothing. Aliases appear on the marker and are edited through the
marker's PUT. Scan and document review rows name the matched marker or
offer up to three, and a chosen marker is remembered as an alias. The
doctor report, FHIR and MCP group readings by marker. Aliases and the
merge ledger travel through backup and restore.
A printed name now resolves to one of the account's markers by its own
name, then by an alias of the account, then by a catalog name for the same
analyte when the reading's unit fits. The catalog gains seeds for alkaline
phosphatase and total bilirubin and a checked list of common lab shorthand
in seven languages; names that mean two analytes stay out.
The edit seed rounded every value to two decimals, so a TSH of 0.004 opened
as 0. Values at or above 1 keep the two-decimal display precision; below 1
the seed keeps three significant figures, written without exponent
notation.
The note said the factor was taken from cholecalciferol (C27H44O2). Vitamin
D3 is C27H44O; C27H44O2 is 25-hydroxyvitamin D3 (calcifediol), the form the
assay reports and the one whose molar mass gives 1 ng/mL = 2.496 nmol/L. The
factor was right; the note now says what it rests on.
The matcher stored the registry entry's key, so LDL and HDL markers were
recorded as total-cholesterol. The key now names what the marker is (the
catalog slug, or a registry-only key for an analyte with no seed), and the
registry resolves ldl and hdl to the cholesterol entry for the conversion as
before. A key already written in the old form is rewritten by the same fill
step that brings a stale key in line with its name, the first time a reading
needs it. The OpenAPI descriptions say what the key is and that it follows
the marker's name and unit.
The single-reading edit cleared sourceValue and sourceUnit whenever the body
carried a value, and the web edit sheet always sends one, so a date or note
edit erased the "converted from" hint. It is now cleared only when the value
differs from the stored one. The sheet also opened a converted reading at its
stored precision (100.90191999999999); it now starts from the value as the lab
surfaces show it and leaves an untouched value out of the request, so the
stored full-precision number is not replaced by its rounded display.
Marc-André Bombeck