The per-bucket OLS accumulators stored x on the raw epoch-day axis (x ~ 20540),
so sum_xx accumulated past ~1e10 and the square shed ~10 of a double's
significant digits before the value was ever stored. The sub-day x detail was
lost at accumulation time, which no read-side identity can recover; an
ill-conditioned window's composed slope/r2 then drifted from the live REGR_*
probe past the parity gauge.
Rebase x to a fixed origin (epoch-days of 2020-01-01) at write time so the
squared terms stay O(1e7) and exact. Slope, r2, and population sd are invariant
under the affine x-shift, so the live raw-epoch probe still parity-matches the
cross-bucket compose; composeRegression needs no formula change. The per-bucket
slope/r2 columns stay on the raw axis (shift-invariant).
Migration 0193 recomputes sum_x/sum_xy/sum_xx from measurements on the rebased
basis, one set-based update per granularity. Recompute-from-source is idempotent
and rerun-safe; it touches only rows that already carry the accumulators and
leaves pre-migration NULLs for the boot re-fold.
Un-quarantine the DST-boundary parity test: it now matches live REGR_* within
the existing 1e-9 relative bound, with the WEIGHT case still bit-identical.
The daily AI-token gate was a flat 25,000/day for every provider. That cap
exists to bound the OPERATOR's API bill, but a ChatGPT-OAuth (Codex) or BYOK
chain egresses on the USER's own plan/key and costs the operator nothing, so
gating it on the operator-cost ceiling is wrong. A single gpt-5.x reasoning
turn legitimately reports 20k-40k gross total_tokens (re-sent system prompt +
inventory + tool defs per round + hidden reasoning, summed across rounds), so
one or two turns exhausted the flat cap and locked the user out of a plan they
pay for.
Classify the chain's cost owner by its primary provider via resolveDailyCap:
an admin-openai primary (operator pays) keeps the operator-cost cap; every
user-egress primary (codex/openai/anthropic/local) gets a generous
abuse-only ceiling. Threaded into the Coach chat gate and both OCR-extract
modes.
Raise the operator-cost cap 25,000 -> 200,000 so the operator-key path also
survives a normal day of reasoning turns, keeping gross-token accounting
rather than reworking the reconcile math.
Subtract cached input tokens at reconcile: the Responses-API gross total still
includes prompt-cached input the user did not re-pay for. The codex client
already parsed cached_tokens; sum it through the tool loop and bill
total_tokens minus cached.
The budget-exceeded copy named "00:00 UTC", which reads as a wrong local
clock for any non-UTC user (Berlin midnight UTC is 01:00/02:00 local) and
drove confused "the limit resets at the wrong time" reports. Reword
dailyLimitBody across all six locales to "midnight UTC", matching the
existing errorBudget wording, so the figure is honest regardless of the
reader's timezone.
Add a discreet, on-brand action to the high-value cards (briefing,
recommendation, correlation, status/assessment, health score, period
narrative) that opens the Coach pre-scoped to the card topic with a
seeded question. The action self-gates on the operator flag and the
per-user opt-out, never tints the card, and surfaces once per card.
Make the launch context's metric scope live instead of discarding it.
A conversation opened from a metric surface now narrows its snapshot to
that metric with a data-aware seed question, and the global FAB inherits
the page's ambient scope so drilling into a metric and tapping it no
longer opens a blank chat. The scope threads through the drawer into the
first turn of a fresh conversation.
The multi-vital coincident-deviation flag (two or more vitals outside
their usual band on the same day, with the illness-explained reframe)
already reached the period narrative but never the Coach. Attach it,
fired-only, to the derived block so both Coach paths can narrate it: the
tool path via the recovery/correlations tools and the no-tools snapshot
floor. A quiet day adds no entry, keeping the snapshot noise-free.
The Daily Briefing strips any number absent from its server-computed
figures; the Coach's tool path had no equivalent, so a transcription or
paraphrase drift (a tool returns systolic 128, the reply says ~138) could
ship. Collect the numeric leaves from every present tool result this turn,
extract the numbers the reply asserts, and soft-correct any that match no
fetched figure to a neutral placeholder — annotated, non-blocking, and a
no-op on a qualitative turn or the no-tools path where there is nothing to
grade against. The bounded retrieval loop now returns the present results'
payloads so the check has an authoritative figure set.
The retrieval-tool DATA INVENTORY was built against the user's default
narration cluster (cardio/body/mood/medication), so sleep, glucose,
activity, body composition, vascular, SpO2, gait and environment series
reported absent even when the data existed — and the grounding rule then
told the model not to fetch them. Probe presence against the full source
set instead, and generate the metric-series inventory rows from the
complete source-to-section map so every series the user has rows for is
advertised. Per-tool reads still re-scope to their own domain, so the
wider probe never widens a figure read.
Add three retrieval tools whose snapshot blocks already existed but were
unreachable in tool mode:
- get_workouts: recent sessions + per-sport rollup
- get_cycle: phase / prediction / correlation (gated by cycle access)
- get_correlations: the FDR-controlled lagged cross-metric drivers plus
the coincident-deviation flag, surfaced descriptively
Also honour the caller's window in get_labs and get_illness_recovery so a
cross-metric answer no longer silently mixes horizons.
The retrospective narrative was the one model surface that omitted the
shared tone contract, so it read colder than the daily briefing beside it.
Compose the tone fragment into both prompts and warm the hand-written tone
line to name a genuine win when the period earns it, while keeping the
descriptive-never-causal and no-alarm guards intact. The cross-surface
coverage test now asserts the contract reaches this surface too.
The per-score deterministic text named the score, its standing, and the
weakest contributor, then stopped at the diagnosis. When the band is not
green and the weakest driver is behaviourally addressable (sleep, mood,
consistency, timing), append a single grounded pointer drawn from that same
contributor. Physiology-only drivers add nothing, so the text affirms and
watches rather than manufacturing a step.
The no-key and timeout fallback text carried zero reference to the user's
own readings and, on a provider timeout, rendered as hasProvider:true —
indistinguishable from a fresh assessment. Compose each fallback from the
per-metric signal the card already builds: name the current value, place it
against the user's own baseline, and close with one plain-language pointer,
in the same warm voice as the model surfaces. Degrade to the prior generic
tip only when a metric has no usable history. The timeout envelope now
reports hasProvider:false so the UI surfaces it as the computed summary it
is rather than mislabelling it as provider prose.
The course-window date field now keeps its ISO value on a hidden native
input (data-slot) and edits through a text overlay (data-testid). Fill
the overlay, then assert the committed ISO value on the hidden input.
Swap the medication scheduling, inventory, illness, vorsorge, lab-OCR
and profile-birthdate date inputs from the native field to the
DateField primitive, which paints the chosen DMY/MDY/YMD/AUTO order
over an ISO yyyy-MM-dd value. The committed value contract, min/max
bounds and aria wiring are unchanged.
Sharpen the Coach's behaviour-change reflexes from the coaching literature,
prompt-only:
- Connect the signals on a why/pattern question — consult correlations and
link them descriptively ("after short-sleep nights your next-morning HRV
tends to read lower") instead of reading metrics in isolation, always an
association worth a small experiment, never a cause.
- Confidence ruler on action turns — after naming one small step, ask how
doable it feels 0-10 and shrink it when that lands low, keeping the choice
the user's.
- Three-beat shape on data-review turns — finding, likely driver, one small
step; name the dominant contributor when citing a derived band.
- Extend the MI micro-moves with developing discrepancy and rolling with
resistance, and add an anti-persuasion check: any suggested change must
serve the user's own stated goal.
One bilingual tone-calibration example added per locale.
The shared contracts cover chronic deferral (dose, diagnosis, drug-level
to a clinician) but had no acute branch. Add a closed-list crisis clause —
chest pain, syncope, sudden severe symptoms, hypertensive-crisis readings,
suicidal ideation — that points to prompt or emergency care without
diagnosing, and keep every other turn calm and non-alarmist. It rides the
single shared-contract source so it lands on the Coach, the per-metric
status cards, the comprehensive briefing, and the period narrative; the
coverage test asserts it on all four surfaces.
Dependency-free date input that displays the value in the user's
date-format preference while editing rides the native picker behind a
calendar button. The committed value stays ISO yyyy-MM-dd, so it is a
drop-in for DateInput. Height/target-size parity, disabled/min/max/
placeholder, and progressive typed entry parsed against the order.
Accept dateFormat on the profile PATCH field-by-field, echo it from
the profile + /me reads, mirror it into the client auth user, and add
the field to the OpenAPI request/response schemas.
Add a date-order resolver + formatter mirroring the hour-cycle path:
AUTO defers to the active locale, DMY/MDY/YMD pin the field order
through a canonical Intl locale. Thread it through makeFormatters and
expose useDateFormatPreference from the i18n context, backed by the
same localStorage mirror as the time-format preference.
Mirror the time-format preference with a per-user date display
choice. AUTO follows the locale convention, DMY/MDY/YMD pin the
field order. Additive, rerun-safe migration; existing rows read AUTO.
The floor reads Date.now() inside buildComparisonSnapshotForUser, so it
lands in [before - 400d, after - 400d] relative to the test's brackets.
The prior upper bound used before - 400d, which fails when a millisecond
ticks between the bracket read and the snapshot's clock read.
Thread the request abort signal through runCoachToolLoop into each
per-round completion so a mid-generation client disconnect tears down
the upstream call instead of paying the full token cost. Completes the
no-tools-path wiring to cover the tool-retrieval path as well.
Regenerate the OpenAPI spec for the trimmed OCR-capability reason enum.
The four AI clients threw bare Errors on an empty reply (and, for Codex, on a
stream-level failure) with no httpStatus, so the provider-chain classifier saw
the same null-status shape as a genuine transport failure (ECONNRESET, DNS,
timeout) and could not tell them apart in observability. Attach a sentinel
`httpStatus: 0` plus a `kind` discriminator (`empty_response` /
`stream_failed`) on those throws. The cascade is unchanged:
`isHardProviderFailure` already treats a status <= 0 as a hard failure and
walks to the next provider — this only sharpens the logs.
The Coach SSE turn ran the provider call to completion before the stream
existed and never wired it to the request's abort signal, so a mid-generation
client disconnect still paid the full upstream token cost. Thread an optional
`signal` through CompletionParams and singleUserTurn into each client's
safeFetch (composed with the per-call timeout via AbortSignal.any), and pass
`request.signal` from the chat route's no-tools path. An early disconnect now
tears the upstream request down instead of generating into a closed
connection. Omitting the signal leaves behaviour unchanged (timeout-only).
Drop the unreachable text-only-model reason from the OCR capability
enum and its DTO type. Replace the literal NUL delimiter in the Fitbit
dedup map keys with a named constant so text tooling stops treating the
file as binary (behaviour unchanged). Correct the Coach tool-executor
docblock, which overstated cross-tool snapshot-cache sharing.
The extraction already self-scores each field; the review screen only
hinted at a shaky numeric value. Add a calm per-row low-confidence badge
when any tracked field scores below the threshold, including qualitative
rows that had no confidence cue. Informative secondary badge, no alarm
colour.
The app-logs, audit-log and host-metrics admin endpoints parsed their
query with a throwing parse(), so a bad parameter surfaced as a 500 and
a reported incident. Switch each to safeParse and return the standard
422 validation envelope, matching how body parsing is handled.
Text-mode OCR structures browser-extracted text rather than running a
vision call, so it reserved and reconciled the full vision budget even
though the spend is far lower. Add an ocrExtractText ceiling and reserve
that in text mode, and refund the reservation in full on a clean extract
failure instead of charging the reserved estimate.
A channel whose stored config cannot be decrypted or JSON-parsed is a
structurally-permanent failure, not a transient blip: the ciphertext/key
pairing and the malformed body decode the same way on every retry. Routing
it through the transient path burned the 5-failure backoff budget and ended
on the misleading `give_up_after_5_failures` reason — during a key-rotation
gap every channel hit this and auto-disabled for the wrong reason.
Classify decrypt and parse failures as hard rejects so the channel
auto-disables on first occurrence with the precise reason
(`<type>_config_decrypt_failed` / `<type>_config_parse_failed`). Genuine
transient failures (network, timeout, 5xx) keep the existing backoff path.
Reformulate composeRegression from the determinant form (n*Sxx - Sx^2)
to the mean-centered corrected-sum identities (Sxx = Sxx - Sx^2/n, ...).
Algebraically identical to the prior form and to Postgres REGR_* /
STDDEV_POP, but it subtracts the x mean at matched scale and avoids the
catastrophic cancellation the determinant form suffers on the ~1e10
epoch-day x-axis. Also read the exact stored sum_value accumulator for
the Sy term instead of reconstructing it as mean*count, dropping the
AVG-to-multiply float residual; fall back to mean*count when the column
is null.
Composition-only: no migration, no schema change. The WEIGHT live-parity
case stays bit-identical at the 1e-9 relative bound. The near-flat DST
parity seed improves by ~30x but still exceeds 1e-9, so it remains
quarantined with an updated note pointing at a window-local x-rescale as
the real fix.
The o1/o3/o4 prefix match also caught o1-mini, o1-preview and o3-mini,
which have no image input. A user pinned to one was told OCR works, then
the provider rejected the image block. Treat an o1/o3/o4 slug as
vision-capable only when it is not a -mini or -preview variant, applied
to both the OpenAI and Codex gates.
Symptom and vital points are present-days-only, so a sparse febrile
series (e.g. days 10/15/20/25) was counted as one long run and falsely
fired the sustained_fever escalation. Continue a run only when the next
matching point is the calendar day immediately after the previous one,
using the existing dayDiff helper; otherwise start a fresh run of one.
buildComparisonSnapshotForUser read a user's entire measurement history
per type with no date floor, then fed each series to summarize(). The
snapshot only consumes avg30 / avg30LastMonth / avg30LastYear, and the
widest of those reaches into the [365, 395)-day window (ageMs < 395 days
in meanOfWindow), so nothing older than 395 days can change a result.
Add a 400-day measuredAt.gte lower bound to every per-type read in both
copies of the builder — the page-blocking POST /api/insights/generate
handler and the shared comprehensive-generate path the nightly
pregenerate cron drives. The fan-out runs all seven snapshot types via
Promise.all, so on multi-year accounts the unbounded scan was tens of
thousands of rows per type. 400 days keeps a 5-day floor over the
strict-less-than 395-day reach.
Marc-André Bombeck