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>
The 60s wait for llama-server's listen line was hardcoded, so the last arm of
the startup race could not be tested without waiting a real minute, and a box
where a cold 1.7B loads off spinning disk had no way to raise it.
Config.StartupTimeout, defaulted to 60s. The test drives the arm at 200ms
against a fake server that never listens, and asserts the child is killed and
reaped — that arm leaks a llama-server still loading a model otherwise.
startLlamaProc 90.9% → 96.0%, package 76.9% → 77.6%.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
A relay that posts its instant as `2026-08-02T09:00:00Z` handed the wall clock
inside the text that same zone, so «созвон в 14:30» was built as 14:30 UTC and
read back as 18:30 on this UTC+4 box. Every ambient event landed late by the
deploy's own offset, and correct on a UTC box, which is why no test caught it.
Posted is an instant and carries a zone. The clock reading is a wall clock and
carries none, so it resolves against the daemon's zone now. The tests pin
time.Local to +04 in TestMain, so the four hours show up on a UTC runner too.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Stub and LLM paths both read loop.DownServices, so the message can never name
a service the predicate did not fire on. Two down at once are both named — he
needs the blast radius.
A rule over a key set that only exists at read time cannot declare its keys
at wiring time. Kuma has one monitor per service and the names live in the
gauge, so the rule declares a prefix and the gatherer resolves the family per
tick.
ServiceDownRule now fires on any monitor reading down, names it through
DownServices, and is edge-triggered: a service that stays down is one nudge,
not one per tick with cooldown as the only brake.
The checks stay in the eval package and the daemon calls three of them:
feminine, address, and a new leaked-reasoning test. No retry — it doubles
the latency on the turn that is already going badly, and on the nudge path
the moment has passed. A failure falls back to the deterministic floor and
is logged with the whole rejected text and counted by check name.
hisgender is deliberately not run: the simulator showed it rejecting
"записала, что ты выпил воды", which is her own correct self-reference.
The capture half landed with the grammar in 87d1761. This is the exposure
the task asked to check for: IsTaskListQuery is a deterministic lookup that
only runs once the turn is already a query, so a phrasing the model calls
system never reaches it. The eval fixture was also missing both grammars,
which is only worth having while it is the daemon's grammar set.
Session.Candidates holds what she offered, in the order she offered it, and
SetCandidates attaches it in place so the turn already remembered keeps its
slots. tasks.Spoken is the list FormatRU actually named, so an ordinal and
the spoken order cannot drift apart.
CorrectMisroute has been in the router since it was written with no caller
outside a test. repair.go is the half that reads the words: a marker saying
she was wrong plus the intent it should have been, with the negated half
skipped, and it teaches the classifier and redoes the request under the
corrected intent.
piper reads a Russian sentence with a Russian voice, and a Latin service id
inside it comes out spelled, mangled or read as if it were a Russian word:
"Vikunja", "SearXNG", "homesrv". The lever available is the text, so the
dictionary maps a name to how it should be spelled for the voice to say it,
and mavttsd applies it at the last edge before piper — every caller's text
passes through that one point, and nothing upstream has to know how a name
sounds.
Data, not code. deploy/tts-lexicon.json ships 29 names; adding one needs a
restart of mavttsd and no rebuild of the daemon that produced the text. Off
unless -lexicon is set, like every other optional capability, and a path that
is set and unreadable stops startup — saying names wrong in silence is the
failure it exists to remove.
Two details worth keeping: the alternation is sorted longest-first, or "Home
Assistant" reads as "Хоум Assistant"; and the boundaries are written out
rather than left to \b, which is ASCII-only and never fires next to a
Cyrillic letter.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
The querySources order predates the 2026-08-02 ruling that live search leads.
An unconfigured feeds source claimed every news question and answered with a
configuration status, so "что происходит сейчас в новостях про искусственный
интеллект?" never reached the search sitting one source below. It now claims
only when neither SearXNG nor the ZIMs are configured, which is the case the
"не читаю ленты" line was written for — general knowledge would otherwise
invent a bulletin.
The calendar matches on a day word alone and sits above the weather, so
"какая сегодня погода в Москве?" answered "на 02.08.2026 ничего нет." It now
steps aside on weather wording, the same bail-out queryHome already does.
"что нового в лентах?" routed system and answered "пока не умею", while the
same question worded with "новостях" worked. FeedQueryGrammar routes it to
query at stage 0, requiring an ask word and a feed noun so the bare greeting
"что нового?" stays a greeting. Wired in the eval too, since the fixture is
only worth anything while its grammar set is the daemon's.
Also: the claiming source is now logged. /trace is the nudge-rule trace and
carries no query-source field, so a wrong answer could not be told apart from
a wrongly-ordered chain.
Kiwix having no live coverage is filed separately as V-508 — it is a decision
about search quality, not an ordering fix.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
"напомни мне позвонить маме в семь вечера" answered "не получилось разобрать
время напоминания", while "в 19:00" set the reminder. Reminders arrive through
speech, and speech says the hour in words, so this was the ordinary case
failing and the typed one working.
SpellOutDigits rewrites a spoken number as digits, but only when a time word
stands beside it — "в три часа" becomes "в 3 часа" and "купить три яблока" is
left alone. Both parsers see it: dateparser already rewrites "7 вечера" to
"7 pm" and never saw a digit to rewrite, and the stub floor now reads the
qualifier itself.
"сеть какая-то медленная" and "интернет не работает" were written as `self`
rows at confidence 1.00. Recall reads a self row back later as if it were
still true, and that is the class of row that outranked live search in #470 —
so a slow afternoon becomes a standing belief about his network.
IsTransientComplaint is the same shape as IsQuestionShaped: deterministic,
offline, and off by default in the two cases where losing a real capture would
cost more than keeping a complaint. An explicit "запомни ..." wins, because he
asked. A first-person marker wins, because "я сломал руку" is durable and the
test is meant for sentences about things.
She answers the turn as chat instead of storing it. actionChat now has the
same nil-phraser floor the other model callers have.
The second defect filed here — a reply body of literally "{" — was closed by
the errBrokenJSON path in V-397 and needs nothing further.
The decision, not a behaviour change: ClarifyStore stays in memory, and she
does not announce the loss either.
The TTL and the attempt count measure a pause in one conversation. A restart
is a gap of unknown length, so a restored question is either dead already or
lying about its age, and the request behind it is one he has likely given up
on. Announcing it would mean storing a marker that outlives the thing it
describes, to say one sentence in the rare window where he speaks within 90s
of a restart. His next words route fresh, which is right either way.
Written down in docs/design.md, pinned at both ends by a comment, and held by
a test that builds a second handler over the same store.
Routines accepted before Vikunja #366 carry accepted_ts NULL and a live
reminder row. The tick loop reads accepted_ts to decide when a routine is
next due, so those rows have been silent since the fix landed, while the
reminder they still point at keeps firing on its own schedule.
Migration #19 cancels that reminder first, then dates the acceptance from
created_ts and lets the reminder id go. Order matters: the second update
clears the id the first one needs.
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.
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.
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.
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>
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.
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.
Owner's correction. It is the same host CLAUDE.md already calls workpc, and
two names for one machine read as two machines. The dated eval file keeps the
old name: a measurement is never edited after the day it was taken.
The middle outcome is the whole task: a workstation that is configured and
asleep produces a gap, and the resident model is never asked. The parity
test compares the bytes PhraseWorld sends the workstation against the bytes
PhraseQuery sends the resident model, so the fixtures and the daemon cannot
measure two different prompts.
The nudge tests cover the silent half from both sides, including the
temperature, which is how the workstation would otherwise change how she
sounds without anyone deciding to.
The naming half of the degradation rule in docs/offload.md. PhraseWorld has
three outcomes: no workstation configured means the resident model answers
exactly as today, a workstation that is taking work answers, and one that is
asleep returns ErrNoWorldModel so the caller can say so. Naming a gap
requires a gap — on a box that never had a second model, refusing every
world question would remove a capability he has now.
Both prompts move into knowledgePrompt and evidencePrompt, shared by
PhraseQuery and PhraseWorld, because prompt parity across two models stops
holding the moment there are two copies of a prompt.
The silent half comes with it: chatWithSystem and chatWithMessages prefer
the workstation when it will take work, at the same 0.7 the resident
transport samples at, and say nothing when it will not. That covers the
digestion worker's nudge and reminder phrasing without touching tick.go.
Only Available and CompleteRemote are in the Remote interface. Pair.Complete
has its own floor and the phraser already owns one; two floors under a
single call is one too many.
The phraser's own transport has always sampled at 0.7 and this client has
always been greedy. Routing a phrasing call through the client must not
change how it decodes, so Req carries the temperature and 0 — the zero
value, and what every existing caller wanted — is still greedy.
Seven cases. The load-bearing ones are the constraint from 483: an
unconfigured deploy never probes and always reaches the floor, a busy
card degrades silently with the remote untouched, and a remote that dies
between probes still completes the turn and corrects the cached answer on
its way out.
CompleteRemote is pinned not to fall back, because a named gap that
quietly became a 1.7B guess is the failure this whole split exists to
prevent. And 1000 Available calls are pinned to make zero probes.
Pair holds both models and decides which answers. A prober asks the
remote whether it will take work and caches the answer, so a request
reads an atomic bool rather than paying for a health check. Routing sits
at p50 825ms on the hot path and must never wait on a machine that may be
asleep.
The two methods are the two halves of the degradation rule in
docs/offload.md. Complete falls back silently, for routing, replies and
nudge phrasing, where the big model is only better. CompleteRemote
returns ErrRemoteUnavailable instead, for a world question, where the
1.7B does not answer worse but invents.
A nil remote is the unconfigured deploy: nothing probes, everything goes
to the floor, and the box behaves exactly as it does today.
Five hardcoded transports, three in internal/ipc and two in
internal/worker, all now go through the seam address. The unix perms
logic moved into netaddr, so the two copies of parentDir and the umask
dance are gone.
peerCaller already returned ok=false for a non-unix conn, so the
SO_PEERCRED path degrades correctly on tcp with no change.
Six cases. The load-bearing one is the first: every deploy in the tree
writes a bare path, and it must keep meaning a unix socket with no
handshake in front of the payload.
The rest cover the tcp seam: a good token round-trips, a wrong one comes
back ErrUnauthorized, a stranger that speaks HTTP at the port is dropped
while the listener stays up for the next peer, and a tokenless tcp bind
fails rather than serving his turns to anyone who connects.
claude