The clarify store was keyed per reach in V-466. The dialogue session was not:
five call sites read and wrote the constant voiceDialogueID, so anaphora,
history and the ordinal candidate list were one slot for the whole daemon.
The candidate list is the half that cost something. She recites tasks at the
mic, he types "первую сделал" on /chat, and it closes the second task he heard
out loud on a surface that never showed him a list. Now every one of those
sites reads dialogueIDOf(ctx), which handleText and the voice path already set.
resolveCandidate also wrote resolved_by "tap:voice" for every pick, including a
typed one. It takes the turn's source now. A row that lies about where it came
from is worse than no row.
Anaphora across surfaces was the other reading — one continuous conversation
with her, any surface. Rejected: a phone open while he talks is the case this
box hits, and two clients sharing one slot trample each other.
Every clarify turn said one sentence per gap, and a re-ask repeated it word
for word. A question he already failed to answer is the worst one to ask
again unchanged: the second wording is what tells him which part she missed.
clarifytemplates.go holds three wordings per slot, picked by attempt rather
than at random — short first, then naming the gap, then spelling it out with
an example. Past the end she keeps the most explicit one instead of wrapping
back to the short question he has already not answered.
The intents with nothing identifiable to ask about (note, query, chat,
system) kept the stub's single "не совсем поняла — можешь переформулировать?",
which is the line he hears whenever she misses him completely. Four wordings
now, picked by a hash of the utterance so one question asked twice reads the
same and two different misses do not.
Still no model call on this path: the resident model would wander, and this
text has to be right every time. No schema_version either, unlike the nudge
templates — these are Go constants, so no file can drift out of step with the
code that reads it. The persona test already in clarify_test.go covers the
new lines.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
The clarify store had one key for the whole daemon, so a question asked in
the web chat and never answered captured the next three utterances from any
source — telegram, or the mic — and answered them against a request the
speaker never made.
The reach now supplies a conversation id on the IPC Chat call, and the
daemon carries it on the context the way it already carries the correlation
id, so the six clarify call sites read it instead of a constant. The mic has
no id of its own and keeps the key it had, so voice behaves exactly as
before. mavweb has no per-browser session, so every tab is one conversation:
right for a single-owner box, and still distinct from telegram and the mic.
Dialogue sessions stay global on purpose — they are what she remembers about
him, not what she is waiting for from one channel.
rememberTurn runs after followUpMerge, which has already inherited a
Text slot from the previous same-intent turn, so the fill-if-empty rule
pinned the first topic of a run of query turns and never released it.
"во сколько у меня встреча", then "какие у меня планы", then "а завтра?"
continued the meeting — two turns stale.
Overwrite for system and query, where Text is a topic and not a payload.
A continuation is the exception and keeps what it inherited: its own
utterance is the ellipsis, and the topic it carries is the real one.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TrVSBKe3RFDF4fGYKWYQnX
Deployed check: "какой сегодня день" then "а завтра?" answered "пока не
умею". The intent was inherited correctly, but replySystem keyword-matches
the utterance, and "а завтра?" contains no topic word — that is the whole
nature of an ellipsis.
So the topic travels with the session. rememberTurn keeps the raw utterance
in Slots.Text for system and query turns that have no Text slot of their
own (a stage-0 grammar fills none), and replySystem matches keywords
against utterance + Slots.Text. Dates keep parsing from the utterance
alone, which is the part the ellipsis actually restates.
Only system and query: everywhere else Text is a payload and must stay
exactly what the router put in it.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TrVSBKe3RFDF4fGYKWYQnX
wantedSlots says a reminder needs both a subject and a time, but askClarify
parks only the first gap, because she asks about one thing per turn. When both
were missing the second gap was never revisited. "напомни" with no subject and
no time asked "О чём напомнить?", accepted "позвонить маме", then handed
applyAction a reminder with no time, which answered "не получилось разобрать
время напоминания." That is a parse error for a question she never asked.
A filled gap now re-enters the clarify loop for whatever wantedSlots still
names, one question per turn as before, spending the same attempt budget so the
exchange stays bounded. The answered subject is also folded into the raw
utterance, because actionReminder stores the utterance as the payload and a
reminder clarified out of a bare "напомни" would otherwise fire saying nothing.
Found in review of #50.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TrVSBKe3RFDF4fGYKWYQnX
Wording fixes from the review of the clarify + phrasing PRs.
- "На когда напомнить?" → "Когда?". After she has just been asked something,
the long form is the phrasing of a form field, not of a person.
- A reminder now wants a subject as well as a time. "напомни в 11" had a time
and nothing to say at 11, and she asked nothing at all — she now asks
"О чём напомнить?". Subject first, since a reminder with no subject is not
worth setting.
- The expiry notice is five phrasings picked at random instead of one fixed
sentence. It is the line he hears every time he walks off mid-request, so it
is the line that repeats most.
- The nudge prompt's ban on "обращения" is now "ласковые обращения". It was
meant to forbid "милый"/"дорогой", not his name — "Ками, ноутбук на трёх
процентах" is how she talks, and the eval's cringe check already only flags
pet names.
- The nudge example no longer claims she plugged the laptop in. She has no
hands and no smart plug; an example where she acts teaches the model to
invent actions Maven never took.
- replySystem: "тепло" → "спокойно и без официальных формулировок". A one-word
mood instruction a 1.7B can't act on, replaced with the behaviour meant.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
An unclear answer used to end the request on the spot. Now she re-asks the same
question while attempts remain, and when they run out she says
"Прости, я не поняла. Скажи, пожалуйста, по-другому." — silence would leave him
thinking it was handled. Same reply when the missing slot has no question to
ask, and as a floor in finishClarified so an empty reply can never ship.
Tests: three questions allowed, the fourth gives up out loud, the cap is
configurable, and a restated time is the one that lands.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
On a clarify decision with one identifiable gap she now asks instead of saying
"не поняла", and parks the request. The next utterance is parsed as the answer
with the router's own extractor and the completed decision runs through
applyAction like any other — so a clarified act still needs the allowlist and
still hits the destructive confirm gate. An answer that does not fill the gap
drops the request; she never asks twice. Also pulls the session-store block
that HandlePushToTalk and handleText both had into rememberTurn, since the
clarify path needed a third copy.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
A table per intent (reminder needs a time, fact needs a key, act needs a fn)
plus one fixed Russian question per slot. Templates, not model output: a 0.8B
would wander and a question that rewords itself is harder to answer. Note,
query, chat and system get no question — for those a clarify decision keeps
the canned reply rather than inventing a question for noise.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
claude
kami