"напомни в 11:00 позвонить маме" answered "Когда?" about an hour he had
just said. ReminderGrammar builds its slots by hand and the router ran no
extraction over a stage-0 decision, so HasTime was false however plainly
the hour was spoken; missingFor read the silence as absence.
The fix runs the stage-2 extractor over every stage-0 decision, filling
only the slots the grammar left empty. A matched value always wins: the
rule read a literal pattern, the extractor guesses. This is the same hole
the LLM path already had, so fillSlots and the new stage-0 call share one
fillMatchedSlots.
Enabled for all ten grammars rather than a chosen few, because for every
intent but reminder it is inert. Extract fills Time for a reminder, Fn for
an act and Key for a fact, and nothing at all for query, system, note or
chat — which is what the clock, agenda, feed, list, task, Praxis-adjacent
and narrative rules emit. The two act rules, wakeword-act and the Praxis
ones, already carry an Fn or they do not match, so the matcher has nothing
left to fill. Measured rather than asserted: benchmarked at 20000x, a
stage-0 query is 3.7µs against 3.9µs before and a clock or act rule is
0.7µs either way, both inside the noise. The reminder rule is the one that
gains, and its date parse is not new spend — actionReminder was already
running exactly that parse one layer down, and now skips it.
Slots.Text is deliberately not filled. Extract sets it to the raw
utterance, and a grammar that left it empty meant it: agendaQueryBuild
hands the query chain the sentence itself, and narrativeQueryBuild's Text
is the topic.
Fixture unchanged at 64/91 (70.3%) on TestONNXBaseline, no case regressed,
no new false clarify. What moved is the line the fixture calls "slots
deferred to daemon": 6 to 0.
Verified on homesrv: "напомни в 11:00 позвонить маме" now answers
"хорошо, напомню сегодня в 11:00."
- Add LLMRouter: grammar-constrained LFM call for intent classification
after stage-0, before classifier cascade. Errors fall through gracefully.
- Add IntentChat: conversational intent with no store side-effect, routed
through LLM -> phraser chat endpoint.
- Extract slots for Chat: no structured slots, full utterance is payload.
- Extend stage-0 grammars to fire through Cyrillic wake-word spellings
(Мэйвен/Мейвен/Майвен/etc.) produced by Russian STT model.
- StripWakeToken helper strips leading wake in any script so time/date
grammars still match when wake is present.
- Add classifier examples for chat utterances (EN + RU).
- Wire LLMRouter into Router.Config; optional, nil-safe.
claude
kami