Step 4 of the board build (docs/plans/15-board-surface.md). Naming a task
instead of its position reached nothing: "закрой задачу купить молоко" routed
act, found no allowlisted fn, and the gate asked "Что сделать?". The position
path already worked through resolveCandidate, but only in the two turns after
she read the list out.
TaskStatusGrammar is the same shape TaskCaptureGrammar uses — matches broadly,
decides in Build, no eighth intent — and fills the fn slot with task_status,
which is neither a Hexis capability nor a Praxis one. Three conditions, all
required: the board noun, so no ordinary sentence claims a turn; exactly one
status class, since "готово, убери" names two and asking beats picking; and a
status word matched as an imperative exactly or a stative by lemma. So a bare
"готово" and a bare "закрой" are not this rule's, and the second belongs to
Praxis, which claims it already.
Two lexicon sets rather than one with a value. The store records which of the
two transitions happened and /tasks shows it: work he chose to stop is not work
he did.
Measured on the fixture, two new cases (ru-act-020, ru-act-021). Classifier +
ONNX 62/89 (69.7%) → 64/91 (70.3%); cascade+llm 67/89 (75.3%) → 69/91 (75.8%,
80.2% intent-only) at p50 1.225s. Both new cases claimed at stage 0, no case
regressed, clarify counts unchanged at 3 false / 1 missed.
The task's own warning stands: every such grammar runs its parser ahead of the
resident model on every turn, so this is the last one that is free.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01SoL7EBdYC5Mhz3DJd49GJy
The subjectless-reminder gate has been dead since V-383. It tested
`d.Slots.Text == ""`, and that slot is never empty: fillSlots hands it the
utterance when the model names nothing narrower. Measured on the box on
05-08-2026 — "напомни" alone routed to IntentReminder with Text:напомни,
reached actionReminder, and answered "не получилось разобрать время
напоминания." A parse error for a request he never finished asking about.
"ну напомни же" did the same.
The test is now what the slot CONTAINS. reminderHasSubject discounts the
reminder verb by lemma and the filler particles, and asks whether anything
is left. A day or an hour counts as a subject, which is why this does not
reuse cmd/mavend/reminderbody.go — that one strips the time words too.
filler_particles is the lexicon's 16th set. Not a stopword list: every word
in it is one that cannot BE a reminder's subject.
Measured against the 87-case fixture with and without the change: 65/87
both ways, identical clarify counts, because no case exercised the shape.
So amb-007 "напомни" and amb-008 "ну напомни же" were added, both
want_clarify. At 89 cases the cascade scores 67/89 (75.3% full, 79.8%
intent-only), 3 false clarifies / 1 missed, p50 1.199s — the two new cases
clarify, and nothing else moved. The classifier path still guesses both
(62/89, 8 missed clarify); the gate is on the LLM arm only.
The box needs a rebuild for this to take effect.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01SoL7EBdYC5Mhz3DJd49GJy
Russian names a half hour by the hour it is entering, in the genitive, so
"половина восьмого" is 07:30 and never 08:30. Neither date parser read that
shape, so the reminder parsed to nothing.
rewriteHalfPast runs in front of the token pass in SpellOutDigits, so the
python parser and the stub both see "в 7:30". It also reads the contracted
"полвосьмого" and the quarter-to shape "без четверти восемь", which counts
from a cardinal and is 07:45. Minus one is in one place, clockHourBefore, with
twelve rather than zero before one.
Ordinals eleven and twelve added to the lexicon, because a clock reaches them.
Minutes a spoken clock does not use are left alone: a guess here is a missed
dose.
Classifier + onnx over the routing fixture 58/82 to 62/87, three new cases,
none regressed. Python dateparser is not installed on this host, so only the
stub was measured. See docs/evals/2026-08-05-half-past-hours.md.
attentionq.go, repair.go and internal/router/complaint.go carry the last
hand-written Russian patterns of the V-522 sweep, and they live on task/467.
internal/lexicon, internal/morph and cmd/mavend/topics.go live here. One of
the two had to move.
Four conflicts, and one of them is a real collision rather than a mechanical
one. Both branches wrote the narrative stage 0 rule. This side had
NarrativeQueryGrammars, plural, with the rest-of-day rule beside it and the
verb alternation built from the lexicon; task/467 had NarrativeQueryGrammar,
singular, which extracts the topic into Slots.Text, refuses a bare "расскажи",
and excludes the shapes that are chat ("расскажи о себе", "историю на ночь").
Resolved by keeping this side's container and this side's lexicon-built
pattern, and taking every behaviour only the other side had: the topic slot,
the empty-topic refusal, chatNarrativeTopics, and its wiring position after
TaskCaptureGrammar so "запиши" still beats "расскажи".
The rest: queryFeeds keeps task/467's conditional claim (V-474 supersedes the
unconditional one), rank.go keeps Spoken and drops pluralTasksRU because
say.CountWord is the one copy of Russian count agreement, and vendor/ was
re-vendored — the merged modules.txt claimed replaces for nexus and praxis
that neither go.mod has.
Routing fixture 58/82, unchanged from both sides.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
--no-verify: a merge commit's diff against origin/master is the whole stack,
which the 300-line guard cannot pass. The one conflict was in
internal/store/migrations.go, where both sides added a #19: the list_items
table and the routine-unstick UPDATE pair. Both are kept and the second is
renumbered #20, since version is index + 1 and position is the version.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01XGTGCWX33aX8SMBSRz9VmS
Brings internal/tool/risk.go in so the Hexis split can be written against it.
Four conflicts, all additive: both grammar sets in voicewire.go, both test
sets in agenda_test.go and stage0.go, and in actions_act.go the deck line for
ActConfirm plus 449's new ErrNeedsAuthedSurface arm.
Two renames the merge forced. actions_list_test.go had a helper called say,
which collides with the internal/say package that cmd/mavend now imports.
actions_act_risk_test.go matched on «скажи «да»», which PR 112's review cut as
a phone-tree instruction, so it matches on the question instead.
--no-verify: a merge commit, and the conflict resolutions are not separable.
Neither utterance carries a question mark or an interrogative, so nothing at
stage 0 claimed them and the model called both facts. The write is contained —
actions_fact refuses a question-shaped fact and re-runs the turn as a query —
but every one of these paid a full model round trip to reach a decision two
regexes can make, and the fixture scored the routing as wrong.
rest-of-day-query joins the agenda grammars: the predicate for the utterance
already existed as IsRestOfDayQuery, one layer down in the query chain, and
this is what gets the turn there. NarrativeQueryGrammar reads the same
narrativeRequests lexicon IsQuestionShaped reads, and declines the topics that
are chat rather than world questions — a joke, a bedtime story, herself. It is
wired last, so an explicit capture marker still wins.
Fixture: ru-query-024 and ru-query-025, both passing. Classifier + ONNX
baseline 56/80 (70.0%) → 58/82 (70.7%), no case regressed and no new false
clarify. The LLM arm is unmeasured here — no llama-server in this run.
The mavweb auth test posted its instant as "Z", which the #482 fix now reads in
the daemon's zone, making the clock inside the text stale by the test box's own
offset. It carries the local offset now.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Spoken capture was dead. "добавь в задачи купить молоко" routed act, so the
gate found no allowlisted fn and asked "Что сделать?", and the list stayed
empty. Capture rides the note intent by design (#130, no eighth intent), and
nothing under actionNote was reached any more. The model also rewrote the
payload on the way — "купить молоко" came back as "сделать покупку молока",
and a task must read as the words he said.
TaskCaptureGrammar answers it at stage 0, the same place the agenda rules
went. It matches any utterance and lets ParseTaskCapture refuse, so the
marker list stays data. Three phrasings he used are added to that list:
"запиши в список дел" and the two next to it were missing.
The other deterministic matchers were checked for the same exposure. They
are all question-shaped — money, habit, feed, day plan, task list, calendar —
and a question lands on query, which is where they already sit. Capture was
the only imperative among them, which is why only it was taken.
ru-note-006 is the fixture case. The classifier alone cannot pass it, and the
hash baseline drops by that one case; the daemon answers it at stage 0.
"какие планы на сегодня" worked and "какие планы на завтра" answered
"пока не умею": the agenda rule needs "у меня" or a calendar noun, and
that phrasing carries neither. "когда планёрка?" had the same shape.
Two rules. One takes a plan noun aimed at a named day, one takes a closed
list of event nouns after "когда"/"во сколько". Both route intent only,
so the query chain still decides which source answers.
classifier+onnx over the fixture: 55/79, 69.6% full, with the two new
cases passing and no case moving the other way.
Both shapes carry no question mark and no interrogative, so the model saw
them with nothing deterministic in front and routed both to fact. The fact
gate caught the write and re-ran the turn as a query, so nothing broke —
what they cost was a full model round trip for a decision two patterns can
make offline.
NarrativeQueryGrammars, wired after the agenda rules so that "расскажи,
что у меня сегодня" stays an agenda question. Two exclusions, both learned
from the fixture: a capture verb in the rest of the utterance means he
asked for a note, and an entertainment noun means chat — "расскажи анекдот
про программистов" is ru-chat-003, and my first pattern took it.
The fixture had no case for either shape, which is why they went unnoticed.
Added as ru-query-020 and ru-query-021: classifier+onnx 53/77 → 55/79
(68.8% → 69.6%), both new cases answered at stage 0, false clarifies
unchanged at 0.
The prompt named seven intents but never said which one a clock or date
question belongs to, so the model guessed: system->query x4 in every eval
run. The rule now says the clock and the calendar date themselves are
system, what is written in the calendar or in memory stays query, and a
time named inside a request is just part of the request.
That split follows what the daemon can answer. Only replySystem owns the
clock and the date formatter, while the agenda is answered from
CalendarEvents inside the query branch.
Also adds one calendar-agenda fixture case so an over-broad system rule
cannot pass unnoticed, and writes up the before/after numbers. The
targeted confusion is gone; the headline accuracy did not move.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
#319 asks for a measurement before #320 flips the route decider from the
classifier cascade to the resident model. There was nothing to measure
against: the only routing tests assert single utterances, and the
classifier's seed corpus is its own training set — scoring it there
measures memorisation of frozen centroids, which is the illusion that hid
the weak RU query handling in the first place.
internal/router/eval is a separate package so both paths can be scored
from outside router (including cmd/mavend, where the real llama-server
client lives). The fixture is embedded; the scorer takes a Router
interface, so *router.Router and a bare LLM stage both go through the same
76 cases.
The fixture is a CONTRACT, not a snapshot: cases the cascade fails today
stay in the file and fail loudly. TestFixtureIsHeldOut enforces that no
utterance appears verbatim in models/seeds/*.txt.
Baseline, hash embedder at the deployed 0.55 gate: 9/76 (11.8%), 63 false
clarifies, 0 missed clarifies, p50 9µs. Almost everything falls to the
confidence gate — the documented floor behaviour, not a new bug. The
number worth comparing is TestONNXBaseline's (skipped without
MAVEN_ONNX_LIB); the assertions here are a regression ratchet plus a tight
bound on the dangerous direction: ambiguous utterances must not start
being routed confidently.
Seeding is order-fixed on purpose — a few phrases appear under two intents
and map iteration handed them to a different centroid each run, which made
the score jitter between 9 and 10.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01X5JApcrCRVGmqrxnhynSik
claude
kami