The hand-written table understood "какая погода в X" for six values of X.
Ask about Kazan or Tbilisi and the city was dropped silently and answered for
the default location — a correct-sounding answer about the wrong place.
The table is gone. internal/weather already calls Open-Meteo's geocoding
endpoint on every lookup, so the place he named goes straight there and any
place it knows is a place he can ask about. He speaks the prepositional case,
so locationCandidates reverses the two endings that cover most of it: a final
"е" is a nominative "а" or nothing, a final "и" is a soft sign. A wrong
candidate finds no city; it never invents one.
A place the geocoder does not have now reads as "не знаю такого города"
rather than as a provider outage or, worse, as the default city's weather.
ErrLocationUnknown is what carries that apart.
"в" followed by a room or a day word is still the default location. Those
questions are answered by the house sensors and the calendar, not by
Open-Meteo, and they must not be read as a city.
The table was write-only. Rows were recorded and nothing could show them, so
the tests for #368 and #370 had to reach past the store into store.DB — if a
test can only see it that way, so can nobody else. A durable record nobody
reads answers no question, and why Maven went quiet is supposed to be a query.
ListDeliveryAttempts returns recent rows newest first, filtered by status.
Status is the filter worth having because the two real questions are "what got
dropped" and "what is still pending", and neither is answerable by reading the
whole list on a busy day. It reaches mavweb over IPC as DeliveryAttempts.
The section goes on /notifications, which already answers "what did she send",
rather than on a page of its own. Shared ui.css, the nav partial, the table in
div.scroll. A failed outbox read leaves a log line and still renders the nudge
list, because half the page beats none of it.
Every case is scored over its own notes plus the whole filler set, and the
two stores disagree about a repeated id: sqlite upserts on it, the in-memory
store appends. So one collision makes a case score differently on the two
backends, and it reads as an embedder or gate difference — the one thing this
harness exists to measure. It was dodged by hand during #373 by renaming two
ids.
The check sits in Load rather than in TestLoadFixture, so it covers every
caller of the fixture and not only the one that remembers to look.
Item carried only Key, FactKey and Label, so every checklist entry was
implicitly required and behaviour 1 of #280 could not hold at all. It was not
thin config — there was no field to set.
Item.Optional, `"optional": true` in the routine config, default false, so a
routine written before today behaves exactly as it did. Due now fires on a
missing required item and not on an optional one, and the optional stragglers
still travel in Missing so the one message per day per routine can name them
after the required ones, in softer words.
Evidence, the window and the day plan treat both kinds alike. A missing
optional item is still missing — it just does not earn a nudge, because a
checklist where everything is mandatory is one he learns to ignore.
The seed path was relative to the working directory, which is cmd/mavend
under `go test`. Every open failed, and the three scenarios replayed a whole
scripted day against a classifier holding zero examples. They passed. A green
simulator was proving something other than the routing the box runs, and a
regression in the seed set could not have surfaced there.
seedPath walks up to five levels to find models/seeds, so the daemon started
from the repo root behaves exactly as before and a test started anywhere
inside the tree finds the same files. All three scenarios still pass with 339
seeds loaded, so the outcome was not resting on the empty classifier.
The new test asserts the count rather than logging it. A silent zero is the
failure that hid here.
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.
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.
Detect had no floor on the interval. Four events minutes apart give gaps
near 0.002 days, every one of them inside the ±50% band, so it proposed a
routine and PhraseRoutine called it "каждый день".
UNIQUE(action, object) makes that unrecoverable: dismissing the bogus
proposal burns the pair, and the real routine behind it can never be
proposed again. It also made hand-QA unsafe — seeding a pattern with four
chat turns poisoned the pair being tested.
The floor is two hours against the median, not a day, because meals, water
and breaks are genuine several-times-a-day habits.
CheckFeminine flagged "ты заплатил за домен" as a masculine self-reference.
The second pass reads a masculine past-tense verb before "тебе", "тебя" or
"за" as her speaking with the pronoun dropped, and it checked neither the
subject nor what "за" pointed at. He is male, so a verb governed by "ты"
must be masculine, and "за домен" is a price rather than a favour.
The talk fixture was under-reporting by a point whenever a reply addressed
him in the past tense, which is common.
safeKey kept ASCII only, so "Встреча с Аней" and "Обед с мамой" both
reduced to "--" and shared one key on one day. The second event of the
day overwrote the first, silently, and his calendar is Russian.
Letters and digits in any script now pass. Migration #18 deletes the rows
written under the old rule instead of rewriting them: a calendar fact is
derived, the next poll writes the day again, and a stale row reads as an
extra meeting.
"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.
Slots.Text was the raw utterance for every intent, so a reminder could not
have an empty subject. StillMissing never reported SlotText, the question
"О чём напомнить?" was unaskable, and the branch in PendingQuestion.Answer
that fills a text slot could only overwrite the whole request.
The LLM path now keeps the model's own text, empty included, and the gate
turns a subjectless reminder into a question. The classifier path is
unchanged: it has no subject parser, so the utterance is the only signal it
has.
llama-server aborts inside its own static teardown on SIGTERM — the
handler calls exit(), stream_session_manager's destructor throws, and the
process dies "signal: aborted (core dumped)". mavgpud sends that signal on
every eviction, so a routine yield wrote a multi-gigabyte core into
systemd-coredump and logged the same line a real crash would.
LimitCORE=0 in the unit stops the disk cost. A yielding flag, set by stop
and cleared by start, makes the log distinguish the two: only an exit we
did not ask for is still reported as an exit.
Not filed upstream. Searched ggml-org/llama.cpp for
"ggml_uncaught_exception" with SIGTERM and for stream_session_manager and
found nothing matching, so the issue still wants writing — by someone with
an account on that tracker, which is why it is not in this commit.
Nine reply cases and a fourth column in the talk report. The reply path is a
separate object from the phraser in the daemon, so Pair joins a Talker and a
Confirmer for a run that covers everything Maven says.
Cases carry intent/key/value because the replier is phrased from the decision the
router resolved, not from the raw utterance. Three of them are baits the other
paths cannot produce: a masculine verb about himself that she must not copy onto
herself, a polite plural input that must still come back на ты, and an unresolved
note that invites a question a confirmation is not allowed to ask.
Not scored against a model here — this box has no llama-server, and the baseline
test is opt-in on MAVEN_LLM_URL.
The prompt, the call and the output parsing now live in internal/phraser. What is
left here is the one thing the daemon adds: a clarify, a model error and an
unusable generation all answer from voice.StubReplier, so a turn never breaks on
the model. The duplicated stripThink and parseResponseMood copies are gone;
capture.go uses phraser.StripThink.
llmReplier lived in cmd/mavend, so the confirmation he hears after every fact,
note and reminder was the one phrasing path nothing could import or score.
Replier owns the prompt, the call and the parsing, and returns its errors instead
of hiding them — a dead model shows up as an error rather than as bad phrasing.
It has no stub fallback of its own; the daemon keeps that. StripThink is exported
for the daemon's own model callers.
#496 asked to skip the veto when the question and the hit are in
different scripts, so an English question stops losing a Russian note.
Measured first: the fixture has no cross-language case, and en-hard-024
is an English question against an English note. Both proposed fixes are
no-ops.
What the veto actually does on the fixture, with the real embedder: it
costs en-hard-024 and buys ru-silent-029. Pass count is 22/32 either
way; false recall is 0/5 with it and 1/5 without. The two cases are one
lexical class, so no rule cheap enough for RecallAllowed separates them.
Accepts the loss and pins both sides in a test.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
The forwarded log named the cause in one line: the prompt cache limit
defaults to 8192 MiB. llama-server saves the full KV state of every idle
slot it evicts, 112 kiB per token, so RSS climbed about 170MB per
distinct prompt until the deployed server held 7.9GB for a 1.1GB model.
Measured on homesrv today, uncapped versus `--cache-ram 512`: RSS
plateaus at 932MB from the fourth distinct prompt instead of climbing.
The task's leading guess was wrong. `-ngl 99` costs almost no RSS,
because RADV keeps device memory outside the process. Numbers and method
in docs/evals/2026-08-03-llama-prompt-cache.md.
`-c 4096` is untouched. The knob is `phraser.cache_ram_mib`, unset means
512, negative passes no flag for a llama-server too old to know it.
The deploy still runs the old image, so the box keeps its 8 GiB default
until mavend is rebuilt.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
mavend scraped the child's stderr for the listen line and threw every
other line away, and never piped its stdout at all. Nothing about the
resident model's memory was diagnosable from a running box: no buffer
sizes, no KV-cache layout, no offload lines, no prompt-cache limit.
Both streams now share one pipe and every line lands in mavend's log
with a `llama:` prefix. The last 12 startup lines are also kept and go
into the error when the server dies before it listens, because bare
"EOF" never named which allocation it choked on.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
"что я говорил про бэкапы?" is his data by definition, and nothing outside the
box has ever heard him say anything. The boundary matched possession words only,
so the question walked past it into SearXNG and came back answered out of a Habr
article about somebody else's backups.
A speech-verb marker class was written first and dropped. Russian gives every
verb a dozen surface forms and the "как я говорил, ..." preamble list has no end,
so each form the lexicon missed was one more question reaching the world, and a
missing verb looks exactly like no bug.
The boundary now embeds two frozen seed sets and scores the turn's own query
vector, already computed upstream, against both. Nearest side wins. The
possession markers stay as the offline floor for a handler with no embedder.
19/19 held-out utterances correct against multilingual-e5-small; see
docs/evals/2026-08-03-personal-boundary.md. The live probe on the deployed box is
not done.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Automatic rather than a flag, unlike -reembed: only voice-tapped facts are in
this index, so it is tens of embeddings rather than thousands of notes. And
waiting for an operator to know the repair exists is the failure being fixed.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Every write-path fix leaves the rows already stored wrong, and a box in that
state looks fine: recall answers with the wrong text and nothing logs an error.
That is how the original poison survived four restarts.
RepairFactVectors resolves each fact vector against the fact it names,
re-embeds the ones whose text is stale, and deletes the voided, superseded and
orphaned ones. Marker-guarded and idempotent, so it runs once per box and a run
that dies partway is simply redone.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
queryMemory returns a fact's stored text verbatim, so the text the write path
indexed is what he hears. It was the utterance, which made recall of any
voice-tapped fact answer with the sentence he said: go_version = 1.20 was
indexed as "какая последняя версия языка Go?", and that question came back.
FactRecallText renders the fact instead, and the utterance stays in meta as
provenance. Correcting a value now drops the key's vectors the way voiding one
does, since the superseded value was still answering.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
queryMemory and queryNotes both gate on score alone, so both needed it. The
eval keeps its own copy of bestRecall — package main is not importable — and a
fixture that measures a weaker gate than the daemon runs flatters it, so the copy
moves in step and its test pins the new rule.
Measured on the held-out recall fixture with the real embedder: 17/32 cases pass
→ 22/32, false recall 1/5 → 0/5, answered after gate 18/27 → 17/27. The one true
recall lost is en-hard-024, an English question against a Russian note, where no
lexical test can help.
The score gate cannot separate the right note from an unrelated one: the
held-out fixture puts the right note at 0.791-0.890 and the must-be-silent cases
at 0.795-0.835, so a note about his slow network answered 'почему небо синее?'.
RecallAllowed adds a topic veto, and applies it only to a question that mentions
nothing of his. That restriction is the whole design: demanding a shared word of
every recall silenced four true recalls on the fixture to kill one false one,
because recall exists to find the note whose words he no longer remembers. A
question about his own life keeps the embedder as its only judge.
IntentFact used to persist whatever the model invented for a question-shaped
utterance, at confidence 1.00, and index it for recall under the question's own
text. Two such rows then claimed seven unrelated world questions and silently
disabled world answering.
A question now goes down the query chain, which is what he asked for. The second
half is confidence: a value grounded in what he said stays 1.00, a value the model
supplied for words he never said drops to 0.60 and says so in the log. Same
reasoning as 'LLM output is not authorization' on the act path.
The predicate a fact write needs before it trusts a routing decision. Tokenized,
not substring: 'что' inside 'чтобы' is not a question. Capture verbs win over
every question signal, because 'запиши что я пил воду' contains an interrogative
and is still a capture.
Revert voided the fact row and left the vector, so recall kept serving the
voided fact's utterance and the documented repair reported success on a box that
stayed broken. There was no way to repair a poisoned box at all.
DeletePrefix covers every vector for the key, earlier rows included: their values
are superseded, and a superseded value has no business claiming a turn. It is
best-effort — the audit trail is already committed, and a fact that is voided but
still recallable beats a void that failed.
claude
kami