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Maven/CLAUDE.md
claude 229890abd7 Measure E4B on phrasing, the half nobody had scored (V-668)
The 2026-08-09 model swap was measured on routing the same day and E4B lost
four destination cases. Phrasing was not measured, and phrasing is the half the
owner hears.

E4B scores nudges 15/15 and the talk fixture 29/36 at p50 516ms, against the
resident model's 25/36 at p50 2.97s on the same 36 cases. lang, feminine and
address are all 36/36, where the resident model loses three on address. Every
failure is ontopic and none is a parse error.

29/36 is one case off the ceiling. The temperature sweep of 2026-08-05 found
two reply cases that fail at every temperature and named a defect in the reply
path, capping the fixture at 30/36. Both are in E4B's failure list. So the swap
costs nothing on phrasing.

One defect no check catches: in chat E4B writes "Я записала несколько идей!"
when nothing was stored. A claim to have saved something is a claim about state.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_013ptwopxyo3Z2kwFckHkLvN
2026-08-09 12:07:13 +04:00

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# CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Maven is a self-hosted, privacy-first voice assistant (Russian + English). Go daemons
talking over unix sockets; one resident small model for routing + phrasing; whisper.cpp STT, piper TTS.
Deploy target is a Ryzen laptop (homesrv) with Vulkan offload to the Vega iGPU (`n_gpu_layers: 99`,
compose passes `/dev/dri` + the render gid) — the resident model stays ≤1.7B either way.
**Resident model:** currently **Qwen3-1.7B** (`UD-Q4_K_XL`), stock — not yet the CPT'd one.
It replaced Qwen3.5-0.8B on 2026-07-31 because it measured better on both fixtures we have:
67.5% vs 59.7% intent-only on the 77-case RU routing fixture, and 20/27 vs 11-17/27 on the
talk fixture. See `docs/evals/2026-07-31-model-bakeoff.md`. It is a Thinking variant, so `n_ctx` is 4096
— reasoning tokens need the room, and 4096 is what the scores above were measured at.
The **target** is still the locally CPT'd **Qwen3-1.7B** (Vikunja #122, training in flight).
Stock already speaks good Russian; what it gets wrong is the persona — it writes `я рад`,
masculine, where Maven needs `рада`. That is what the CPT is for.
**Do not bother with sub-500M models.** LFM2.5-230M and 350M were measured on 2026-07-31 and
both are unusable in Russian: the 350M routes at 5.2% (worse than guessing) and answers
"столица Франции?" with the invented non-word "Сторзит"; the 230M replies to Russian in
Spanish. Their strong published IFEval/BFCL numbers are English-only. Model files live in
`/mnt/hdd1/llms`, bind-mounted to `/opt/maven/models/llm` — which **shadows** the repo's
`models/llm/`, so the LFM2.5 gguf sitting there is not loaded by anything. Swapping the resident
model is a one-line change to `phraser.model_path` in `deploy/mavend.json`.
See `docs/rearchitecture.md` for the target architecture, `docs/design.md` for the folded design spec, and
`AGENTS.md` for local-preview + model-download recipes.
**Model work is moving to the workstation** (owner's call, 2026-08-02). homesrv cannot grow a
GPU and the workstation has 16GB of VRAM. So the resident model, STT and TTS become preferred
remotes with a floor on homesrv. The workstation is never assumed up. Fall back silently when
it would only do the job better. Name the gap when the 1.7B cannot do it at all. The embedder
stays on homesrv permanently, because it backs that floor. It is multilingual-e5-small,
quantized and asymmetric — `EmbedQuery` and `EmbedPassage` apply the `query:`/`passage:`
prefixes it was trained with, and calling plain `Embed` on a note is a bug. It replaced
MiniLM and bought ten points of recall@1 and 2.5× the speed; see
`docs/evals/2026-08-04-recall-e5-small.md`. Read `docs/offload.md` before
touching a daemon seam or adding a model caller. Vikunja #483 is the umbrella, #484 to #487
are the work.
Both halves are wired as of 2026-08-03. Routing and replies prefer the workstation silently
through `modelSeam`; nudge and reminder phrasing prefer it silently inside the phraser. A
world question goes through `LLMPhraser.PhraseWorld` and names the gap when the card is not
free — `worldGap` in `cmd/mavend/worldmodel.go`, which the owner hears instead of an invented
answer. A box with no `workstation` block behaves exactly as it did before the seam: naming
a gap requires a gap. The offload table in `docs/offload.md` says which caller is which.
**Speech-to-text moved on 2026-08-09** (V-486). `sttSeam` in `cmd/mavend/voicewire.go`
builds an `stt.Pair` beside `modelSeam`, preferring CrisperWhisper 2.0 turbo on workpc
with mavsttd as the floor. It takes only the silent half of the rule. A worse
transcript is still a turn, so `stt.Pair` has no `TranscribeRemote`. The fallback is
never spoken. CW2 turbo scores **10.4% WER in Russian against 27.5%** for the `ggml-small.bin`
mavsttd loads, over 200 Golos clips
(`docs/evals/2026-08-09-crisperwhisper2-russian-wer.md`). It runs in Intended mode, not
Verbatim, though that corpus cannot separate the two.
**whisper.cpp cannot load CW2 at all.** It reads its language count off the vocabulary
size, and CW2's 51897 tokens shift seven special token ids. So it is not a second
endpoint on mavgpud. It is its own transformers service on port 8081
(`deploy/cw2/serve.py`), which Maven reaches directly. `stt.HTTPTranscriber`
posts raw PCM to it with a bearer token, because audio is the most sensitive thing that
crosses this seam. The switch is `workstation.stt` in
`deploy/mavend.json`, and deleting the block sends every utterance to mavsttd.
**mavgpud runs that service as a second child.** That is not an optimisation. CW2 is a
ROCm process on the same card, so it registers on the KFD like any contender. Under its own
systemd unit it made mavgpud evict llama-server every few seconds. That took the
gemma-4-12b arm down for eight minutes on 2026-08-09 before anyone noticed. The card needs
one owner. Any GPU service added beside this daemon has the same defect, so add it to
`cmd/mavgpud` and not to systemd. CW2 is on the yield clock and not the idle one. At 1.6GB
it denies the card to nobody, and unloading it would only send the next voice turn to the
homesrv floor.
Text-to-speech has not moved and piper on homesrv is still the only synthesizer.
## Build & test
CGO daemons (`mavend`, `mavsttd`, `mavttsd`, `mavenclient`) need the vendored toolchain
and libs wired through the Makefile — **do not** call `go build` on them bare, use `make`:
```sh
make build # all 11 binaries
make build-web # single daemon (pure-Go ones: web/waked/poll/caldav build without CGO)
make test # go test -race across ./internal/... ./cmd/... with CGO env set
```
Run one package or one test with `make t`. **Do not hand-write the CGO preamble.**
Past sessions pasted it about 390 times. That is where the shell-quoting failures
came from. This box runs zsh, so an unquoted `-run Test*` or `--include=*.go`
dies on "no matches found" before `go` is ever reached.
```sh
make t PKG=./internal/router/
make t PKG=./cmd/mavend/ RUN=TestSimulator
make t PKG=./internal/router/eval/ RUN='TestONNX' V=1 # V=1 for -v, RACE=0 to drop -race
```
`t` carries `-race`, so a green `make t` cannot turn red under `make test`. It carries
`-count=1`, so a cached PASS from before your edit is never mistaken for a result.
It also sets `MAVEN_ONNX_LIB`, which the hand-written recipe did not. The four
`TestONNX*` measurements self-skip when that variable is unset. The run still prints
`ok`. So every targeted eval done the old way reported the hash ratchet while reading
as a real embedder score.
Pure-Go packages (`router`, `memory`, `mavweb`, …) also run under a plain `go test ./pkg/`,
but `make t` works everywhere and is one thing to remember.
## The daemons (`cmd/`)
| Binary | Role |
|---|---|
| `mavend` | **Core.** Router, phraser, memory, reminders, digestion tick. Owns the DB + IPC socket. |
| `mavweb` | HTTP UI + PWA (`/dash`, `/history`, `/trace`, `/notifications`, `/tools`); WebAuthn auth. Connects to mavend's socket. |
| `mavsttd` | Speech-to-text (whisper.cpp, CGO). |
| `mavttsd` | Text-to-speech (piper subprocess). |
| `mavwaked` | Wake-word / VAD gate. **Not on homesrv** — see below. |
| `mavenclient` | Voice loop client (mic → stt → core → tts). **Not on homesrv** — see below. |
| `mavpoll` | Environment poller: netdata alarms, uptime-kuma, zenmoney, wireguard presence. Writes facts, sends nothing. Telegram is `internal/delivery/telegramsink`, not this. |
| `mavcaldav` | CalDAV calendar sync. |
| `mavmaild` | Mail reader (IMAP, read-only). Holds the IMAP password; core never sees it. |
| `mavgpud` | GPU supervisor. **Runs on workpc, not homesrv** — own unit, `deploy/mavgpud.service`. Keeps llama-server loaded while the card is free (V-488). Maven never asks it for anything, it reads `/health` through `llm.Pair`. |
| `mavupdate` | Not a daemon. Operator CLI a human runs on the box to deploy a new build. |
Two more binaries have no Makefile target and are built with `go run` or `go build` when
they are needed. Neither is deployed.
| Binary | Role |
|---|---|
| `mavseal` | Recovery tool. Encrypts a live tmpfs working copy back to the ciphertext file when mavend was killed before `defer st.Close()` sealed it. |
| `labelgen` | Runs the stage 0 grammars over utterances and prints JSONL, the training data for the routing heads (V-546). |
Daemons are wired socket-to-socket, not linked. `internal/ipc` is the client/server wire
protocol; the config in `deploy/mavend.json` (with `${VAR}` env expansion from gitignored
`deploy/telegram.env`) sets socket paths, model paths, and the phraser/embedder blocks.
**`docker-compose.yml` runs five: `mavend`, `mavsttd`, `mavttsd`, `mavweb`, `mavpoll`.**
Count against compose, not against the table. Four of the nine daemons are absent, and each
absence has a different reason.
`mavmaild` and `mavcaldav` are commented out in compose, each with the reason written
beside it: the first needs a mail account, the second a CalDAV account, and this box has
neither. `mavcaldav` used to appear nowhere at all, which was an oversight; it became a
recorded decision on 07-08-2026 (V-644). Two things ride on that absence and the block
names them. Agenda questions route to `IntentQuery` at stage 0 (V-498) and the `calendar`
query source then reads a table nobody writes. And `loop.State.CalendarBusy` is fed by the
same facts, so the gate's "do not nag mid-meeting" is permanently false. Its password is
read from a file (`-pass-file`, and `-render-pass-file` for the render collection), never
taken as a flag value, which is the rule `mavpoll` and `mavmaild` follow too.
**`mavwaked` and `mavenclient` are absent by decision, not oversight** (Vikunja #463,
`docs/plans/17-where-the-voice-loop-runs.md`).
homesrv has a microphone — it is a laptop — but it is in the wrong room, so a wake-word
daemon there listens to nobody. They belong on a client machine where the owner is standing.
**That machine is workpc** (owner's correction, 2026-08-05). This section used to say no
such machine existed, which was written when the workstation was only a model host. It is
where he sits most of the day and it has the microphone. `ipc.Dial` already takes
`tcp://host:port?token=...` through the netaddr seam, so the two daemons need deploying,
not building. V-515 is that deployment.
Until they are deployed, **the wake word and the VAD gate are covered by unit tests and by
nothing else**, and push-to-talk through `/dash` is what QA actually covers. Note that
deploying them does not by itself prove a wake word: `mavwaked` gates on energy and has no
keyword model (V-487), so the loop runs open until that lands.
## The ecosystem: Nexus, Praxis, Hexis
Maven is one of four services. It owns conversation and personal memory. It does not
own identity, operational state, or execution. Full contract in
`docs/ecosystem.md`.
```text
Nexus identifies. Praxis observes. Hexis acts. Maven understands and coordinates.
```
| Service | Owns | Maven's client | Configured at |
|---|---|---|---|
| **Nexus** | Canonical entity ids, names, aliases, relationships. Projects, services, devices, people, pets, places. | `nexusClient` in `cmd/mavend/ecosystem.go`, `POST /api/v1/resolve` | `nexus.url` (`http://nexus:9740`) |
| **Praxis** | Operational attention and item lifecycle. What needs looking at, what changed, what is still unresolved. | `praxisClient`, the HTTP tools API under `/api/v1/tools/` | `praxis.url` (`http://praxis:8989`) |
| **Hexis** | The capability registry and the only path to executing anything. | vendored `github.com/kami/hexis/pkg/client` | `hexis.url` (`http://hexis:9741`) |
All three are `nil` unless configured, and every one of them degrades on its own.
An outage means a named gap in the answer, never a broken turn and never a guess.
Rules that are not negotiable:
- **No component reads another component's database.** Praxis attention comes over
HTTP, never from its SQLite file.
- **Identity lives in Nexus.** Do not invent a local fact key for something Nexus
resolves. `actionFact` already sets `Subject`, and `cmd/mavend/factenrichment.go`
resolves it in the background against Nexus.
- **Free text never reaches a mutating Hexis call.** Resolve to a canonical entity id
first. Ambiguous resolution asks the owner, it does not pick.
- **LLM output is not authorization.** Confirmation binds capability id, target
entity, arguments, requester and expiry. See `cmd/mavend/confirm.go`.
- **Praxis lifecycle words mean different things.** Surfaced is not acknowledged,
acknowledged is not resolved, execution success is not recovery. Reading an item
aloud calls `Surface`, never `Acknowledge`.
- **No automatic attention-to-action path.** Digestion may summarise Praxis. It may
not call Hexis.
Every cross-service call carries a correlation id minted once per action
(`withCorrelationID`), a contract version header, and `X-Requested-By: maven`.
## Routing — read this before touching the router
`internal/router/` has TWO layered engines. **The LLM router is now the default and it is
on in deploy** — this section used to say it was wired `nil`, which stopped being true on
2026-07-31.
- **LLM router (the intended design, docs/rearchitecture.md):** the resident Qwen3-1.7B (`llmrouter.go`)
emits GBNF-constrained structured JSON, and the SAME model phrases replies. Embedder is
demoted from a routing gate to a RAG hint. Wired at `voice.go:214` via
`pickLLMRouter(cfg.Voice.UseLLMRouter(), llmClient)`; the flag is `voice.llm_router`
(`config.go`), `DefaultLLMRouter` is **on**, and `deploy/mavend.json` sets it `true`.
- **Classifier cascade (the failure floor, not dead code):** `classifier.go` +
`embedder.go` nearest-neighbour over frozen seed phrases. It runs when the LLM router is
off, when there is no llama-server to talk to (`pickLLMRouter` logs that and degrades),
and on any per-turn LLM error. Do not delete it — routing by seed similarity is the known
cause of weak RU query handling, but a turn must never break on the model.
Cascade order: `stage0.go` exact-match fast-path → LLM router (when non-nil) → classifier
fallback. Any LLM error falls through to the classifier so a turn never breaks on the model.
**A stage-0 decision is slot-extracted too, since 06-08-2026** (V-572). `fillMatchedSlots`
in `router.go` runs the stage-2 extractor over whatever a grammar built and fills only the
slots it left empty — a matched value always wins, because the rule read a literal pattern
and the extractor guesses. It did not run before, so `ReminderGrammar` handed the daemon
`HasTime: false` for "напомни в 11:00 позвонить маме" and `missingFor` read the silence as
absence and asked "Когда?". It applies to every grammar and is inert for all but the
reminder: `Extract` fills Time, Fn and Key and nothing else, and the query, clock, agenda,
feed, list, task and narrative rules all emit intents with no such slot. Benchmarked at
20000x, a stage-0 query costs 3.7µs against 3.9µs before. **`Slots.Text` is deliberately not
filled** — a grammar that left it empty meant it, and `agendaQueryBuild` hands the query
chain the utterance itself. Fixture unchanged at 64/91, with "slots deferred to daemon"
6 → 0.
Measured on the 77-case RU fixture. **Re-measured 2026-08-02: the classifier scores 68.8%
full accuracy at p50 16.6µs**, not the 36.8% at p50 31ms that stood here from
`docs/evals/2026-07-31-model-bakeoff.md`. That older figure predates the stage 0 rules and the
seed additions, both of which now score inside the classifier baseline. Qwen3-1.7B scores
77.9% intent-only / 72.7% through the cascade. So the router buys about 4 points of accuracy,
not a doubling, and the trade is worth re-arguing rather than assuming. **The ≈2.7s figure
that stood here until 2026-08-02 was contention, not the model.** See `docs/evals/2026-07-31-routing.md` line 61, which measures the LLM router at
p50 825ms / p95 1.2s / max 3.0s and the full cascade at p50 0.80-1.04s. Do not plan latency
work off the bakeoff table.
**Re-measured 2026-08-05 on the fixture as it now stands, 91 cases** (V-320 item 2,
`docs/evals/2026-08-05-routing-resident-model.md`): cascade + resident model scores
**75.8% full / 80.2% intent-only at p50 1.19s / p95 1.65s**. That is a new baseline and not
a movement, because 14 cases were added since the 77-case number above. The model alone
scores 37.4% full against 61.5% intent-only, and the gap is slots rather than routing: it
routes `reminder` and leaves the time to the daemon, which is what the contract asks. To
re-run it, start a **second** llama-server on a fixed host port — the resident one binds
`--port 0` inside the container and no host process can reach it.
**The numbers above are the homesrv floor, not the ceiling.** With the workstation up, routing
completes through `llm.Pair` against the model mavgpud holds, which is better than the resident
model and about 2.5× faster. gemma-4-12b scored **84.4% full / 93.5% intent-only at p50 329ms**
(`docs/evals/2026-08-02-workstation-gemma4-12b.md`, Vikunja #485). The workstation is never
assumed up, so both sets of numbers are live. Judge a
routing change against the classifier and the resident model, since those are what always answer.
**The workstation runs gemma-4-E4B since 2026-08-09** (owner's call), and it is a
step down measured the same day (`docs/evals/2026-08-09-e4b-vs-12b-routing.md`).
Against a same-session 12B control it scores **83.3% full / 89.6% intent-only,
destination 19/33 against 23/33, at p50 294ms against 344ms**. So it costs four
destination cases and buys 50ms. Read destination as the finding: it names nothing
where the 12B names `recall` or `calendar`, which is safe but walks the whole chain.
It also has no MTP and cannot be given any here. The only `gemma4-assistant`
draft on disk is trained against the 12B's hidden states.
**Phrasing was the unmeasured half and it is measured now**
(`docs/evals/2026-08-09-e4b-phrasing.md`). E4B scores nudges 15/15 and the
36-case talk fixture **29/36 at p50 516ms**, against the resident model's 25/36
at p50 2.97s. Persona is clean: `lang`, `feminine` and `address` are all 36/36,
where the resident model loses three on `address`. Every failure is `ontopic`
and none is a parse error. The 2026-08-05 temperature sweep put this fixture's
ceiling at 30/36, because two reply cases fail at every temperature (V-537), and
both are in E4B's failure list. So the swap costs nothing here. One defect no
check catches: in chat E4B claims "Я записала несколько идей!" when nothing was
stored, which is a wrong claim about state.
**The intended third engine is not a generative model** (owner's call, 05-08-2026, V-546,
`docs/plans/18-routing-heads-on-e5-small.md`). Routing has a bounded output space, so it is
classification, and the 118M multilingual-e5-small is already resident. Three heads on one
forward pass: intent, mood, and BIO slot tags. Roughly 5e15 FLOPs to train, so 10 to 30
minutes on the workstation. A 100M decoder from scratch is 10 to 20 GPU hours. Two things
it buys that a decoder cannot. No grammar is needed, because a softmax cannot emit a value
that does not exist. And max softmax is a calibratable confidence, where `Confidence: 1.0`
was a hardcode. **Fine-tune a copy of the weights.** The resident embedder backs memory
recall. Training it in place couples routing accuracy to recall@1, with nothing in the
suite to name the trade.
**Two of those heads are trained as of 08-08-2026, and they are not the three
above** (V-661, `docs/evals/2026-08-08-routing-heads-two-head.md`). Intent and
destination share one masked mean pool. Destination scores a mean **80.8%** over
three seeds, best **29/33 (87.9%)**. The classifier cascade scores 12/33 and the
cascade with gemma-4-12b scores 24/33, so a 118M encoder beats the 12B teacher it
was distilled from. Read the best run as one seed and not a headline, because one
case is 3 points on a fixture this small.
Recall is 15/15 and world is 5/5. Intent is 93.6% mean over three seeds. That is
**not** comparable to the 76.0% and 84.4% those two arms scored: a softmax has no
clarify class, so the head's fixture is the 88 cases carrying an intent.
**A fourth head asks instead of guessing, same day** (V-661,
`docs/evals/2026-08-08-clarify-head-four-head.md`). Clarify is not a value
of intent, so a softmax cannot emit it. It is a second question over the
same pooled vector: can Maven act on this at all. That is why the head's
fixture was 88 cases and not 96. Over three seeds it catches **7.0 of the 8
`want_clarify` cases and produces 2.3 false clarifies of 88**. The cascade
today misses 1 and produces 2, so this is parity with no rules in front of
it. Accuracy is the wrong number here and a head that never asks scores
91.7%. Confidence is the other half. Max softmax over the intent head reads
**0.851 where it is right against 0.604 where it is wrong**, ranking right
above wrong in 83.4% of pairs. `Confidence: 1.0` was a hardcode, and this
replaces it with a signal. The two are not the same signal: one says which
intent is unclear, the other says the utterance carries too little to act
on. **The fourth head is not free the way the third was.** Intent,
destination and slot F1 each move down one to four points, inside the seed
spread. `поужинал` is a false clarify on every seed, which is the same
defect `thinSingleToken` was narrowed for on 2026-08-01.
The corpus for it is generated, because every existing row is answerable by
construction. **The router-prompt agreement filter cannot work here**, since
`routeGrammar` has no clarify value and a generated line always agrees with
itself. A gemma judge replaces it. The first judge called 24 of 40
answerable rows underspecified, because it judged against a generic
assistant rather than against Maven's contract.
**Mood is cut, not deferred.** The enum describes her own reply state, not the
speaker's emotion, and no dataset maps onto it.
**A third head landed the same day** (`docs/evals/2026-08-08-slot-head-three-head.md`).
BIO slot tags had no Maven-domain corpus, which was true of found corpora and
false of made ones. `label_slots.py` distils spans out of gemma-4-12b under a
GBNF closed over Maven's own five slots. A span survives only when it is a
literal substring of the utterance, so the agreement filter costs no second
call. 2178 spans over 1702 rows, 37 dropped, nothing unparsed. Three heads score
intent **92.8%**, destination **82.8%** and slot span F1 **72.4%** over three
seeds. The slot head is free: both other numbers move less than their own seed
spread. Epoch selection reads the intent dev slice alone. Slot F1 is still
climbing when it stops, which costs about 4 points.
The MASSIVE warm-start of step 2 is worth nothing here. Stock e5-small ties it on
intent and leads by a third of a case on destination. Nothing argues for keeping
that step.
The floor was a corpus defect and it is fixed. The first 120 floor rows carried
one sentence shape, so the head named a destination where the fixture says walk
the chain. Rotating six shapes took the floor 3/7 to 6/7 and destination 75.8% to
80.8%. What is left is calendar at 3/6 on every seed, which training cannot move:
the possessive agenda rules claim those cases at stage 0 and name nothing, so no
label reaches the head. That is the same trade V-660 flagged and it wants the
owner's call.
**The heads run in Go and route every turn, since 08-08-2026** (V-664,
`docs/evals/2026-08-08-routing-heads-in-go.md`). This section used to say
nothing of it ran. `RouterHeads` in `internal/router/heads.go` loads
`router_heads.onnx` and reads intent, destination and clarify off one forward
pass. It is stage 0b: after the grammars, **before** the resident model, and the
classifier is still behind both. Through the cascade it scores intent **96.9%**
and destination **75.8%** at p50 27.9ms. That beats the gemma-4-12b cascade,
84.4% and 72.7%, at a twelfth of its 329ms. The workstation stays the better
phraser and is no longer the better router.
Three rules around it. The **clarify head decides first**, before the intent
threshold. It answers a different question. A thin utterance scores low
intent by construction, so gating it cost 6 of 8 ambiguous cases. The
**destination head is read on `IntentQuery` only**, since no other intent
reaches `queryWalk`. And `headsThreshold` is 0.6, the measured knee: every value
to 0.85 drops right answers and keeps the same two wrong ones.
`voice.embedder.heads_path` is the whole switch. Empty, missing or unloadable
means the heads are nil and the cascade is byte-for-byte what shipped before
them. **It must never be pointed at `model_path`.** The resident e5-small must
not be replaced by the fine-tuned copy. Recall depends on that file scoring
what it scored.
**The hand-written tokenizer read every long word backwards** until this task
(`encodeWord`, `onnxembedder.go`). It cost recall@1 7.4 points and recall@3 11.1.
Nothing caught it because seeds and queries were mangled the same way, so cosine
survived. The heads found it. They are trained through transformers and read
through this. The embedder id now carries a tokenizer revision
(`@384/tok2`), so fixing the tokenizer triggers `ReembedAll` the way swapping the
model file does. Bump `tokenizerRev` on any change to what it emits.
`Confidence: 1.0` used to be hardcoded in `llmrouter.go`, so the LLM
path could never ask for clarification (6/6 refusal cases missed on the fixture) — Vikunja
#359. Fixed 31-07-2026 with structural signal (single-token utterance, keyless fact, act with
no allowlisted fn) feeding the same stage-3 gate the classifier path already had — see
`gateLLMDecision` in `router.go`. Note the second half of that bug: the LLM branch never
consulted `r.threshold` at all, so a correct low confidence would have been discarded anyway.
Re-measured on the fixture after the fix: **missed clarify 6/6 → 1**, at the cost of 3 false
clarifies and 2.6pt of full accuracy (72.7% → 70.1%, intent-only 67.5% → 74.0%). Two of the
three false clarifies are acts the model mis-routed and the gate caught — asking beats wrongly
executing, so the fixture and the daemon disagree about what is correct there. The third,
`"поужинал"`, was a real defect: the single-token rule was an English intuition and does not
transfer to Russian, where one word is routinely a whole sentence.
Narrowed 01-08-2026. `thinSingleToken` (`internal/router/singletoken.go`) still thins a bare
one-word nominal — "вода", "бэкап" — but spares two classes: a closed lexicon of social and
control singles ("привет", "спасибо", "стоп", "yes"), and any token carrying a Russian verb
ending (past tense, 2nd person, reflexive), because a verb already contains its subject. Both
tests are offline and cost nothing. Re-measured: **false clarifies 3 → 2, intent-only 74.0% →
75.3%, full accuracy unchanged at 70.1%, missed clarify still 1.** The two remaining false
clarifies are the act-with-no-allowlisted-fn arm of the gate, not this rule.
Agenda questions taken off the model, 01-08-2026. `AgendaQueryGrammars` (`stage0.go`, wired
after the clock rules in `buildRouter`) routes "что у меня сегодня", "во сколько у меня
встреча" and anything naming a calendar to `IntentQuery` at stage 0. They were going to
`IntentSystem`, where `replySystem` has no agenda arm and answered "пока не умею" — the
fixture had said `query` since ru-query-019 was written. Measured: **full accuracy 70.1% →
72.7%, intent-only 75.3% → 77.9%, calendar 0/2 → 2/2**, clarify counts unchanged. Note that
Go's `\b` is ASCII-only and never fires after a Cyrillic letter; the pattern needs an
explicit `(\s|[?!.]|$)`.
Two more shapes taken off the model, 04-08-2026 (V-498). `rest-of-day-query` inside
`AgendaQueryGrammars` claims "что дальше?" / "what's next", and `NarrativeQueryGrammar`
(`stage0.go`, wired **last** in `buildRouter`, after the capture marker) claims "расскажи про
X", "объясни X", "опиши X". Neither carries a question mark or an interrogative, so the model
called both `IntentFact`; the write was caught downstream by `IsQuestionShaped`, so this was a
latency and fixture defect, not a correctness one. The narrative rule reads the same
`narrativeRequests` lexicon `IsQuestionShaped` reads, and declines `chatNarrativeTopics` — a
joke, a bedtime story, herself — because the query chain has no source that answers those.
New fixture cases ru-query-024 and ru-query-025. Classifier + ONNX baseline **56/80 (70.0%) →
58/82 (70.7%)**, no case regressed, no new false clarify. The LLM arm was not measured (no
llama-server in that run), so judge it again before quoting a cascade number.
Praxis taken off the model, 05-08-2026 (V-516). `PraxisGrammars()`
(`internal/router/praxis.go`, wired in `buildRouter` before the capture marker because
"отметь" is a capture verb) fills `Slots.Fn` with a Praxis capability name.
**These grammars are the only path to Praxis, not a faster one.** Measured
2026-08-05 with the resident model as router (V-517,
`docs/evals/2026-08-05-reach-llm-router.md`): the model alone reaches Praxis
**0/12**, the same as the classifier alone, because nothing in the router
prompt names a Praxis capability and there is no string for it to write.
Through the cascade it is 11/12. Deleting these rules costs every point. Praxis reach
was **0/12 and structurally so**: `handlePraxisAct` compares `Slots.Fn` to a capability
alias, and that slot is filled from the deployment's enabled tool names, which no Praxis
alias is on. Measured **16/30 → 27/30 overall, praxis 0/12 → 11/12, lifecycle 0/5 → 5/5**
(`docs/evals/2026-08-05-praxis-reach.md`). Two rules to know before editing: a **stative**
lifecycle word ("готово", "принято") needs an item named beside it, while a bare
**imperative** ("закрывай") may ask which one. The bare arm additionally requires that
the sentence name no object of its own, or "закрой шторы в комнате" goes to Praxis instead
of the house. A demonstrative ("отметь это как сделанное") resolves against
`h.surfacedItems` only when exactly one item was spoken. Otherwise the turn goes back to
the cascade rather than transitioning the wrong item.
**Who claimed a turn is now recorded, and so is who did not** (V-564, umbrella
V-558). Arbitration between the claimants on the utterance stream is order,
hardcoded in the pre-route resolver ladder, in `buildRouter` and in
`querySources`. `internal/decision` records one `Record` per turn: every
claimant, what it would have made the turn, the score it reported, and whether
it won, declined, lost on score, was thinned by a gate or was **never asked**.
The record rides the context, the same seam `querysource.go` uses, so a claim
site cannot change a route and a context with no record costs nothing. It is
installed in `runTurn`, so the mic, telegram and the web all leave the same
trail. Storage is a 25-turn in-memory ring on the handler (`decision.Ring`),
read over `ipc.TurnDecisions` and rendered as the second table on `/trace`.
**It also persists, since 06-08-2026, and that reverses what this section used to
say** (V-629, `docs/plans/21-persisting-the-routing-trace.md`). The old rule was
that nothing persists, because a turn record is read minutes later or never. The
owner reversed it: the routing heads (V-546) cannot be fitted or calibrated
without real utterances, and 9 of the 31 modes in `internal/modes` have no seed
example at all. The ring did not move. It is still what `/trace` reads and still
what a test with no store gets. `cmd/mavend/routingtrace.go` is a second sink
beside it, writing `routing_traces` (migration #23). The utterance is stored in
clear, because a 384-dimension vector of a short sentence is substantially
recoverable and storing vectors instead would be a privacy claim we cannot
support. What makes it safe is the same thing that makes the fact store safe.
Retention is 14 days, enforced on write and again on start, so a box that goes
quiet does not keep every row. Nothing reads it outward, and the rule
that his notes and facts are never search input covers this table. `Store.Wipe`
deletes it with everything else. A correction (V-630) is promoted out into a
seed-shaped row in `routing_labels` (migration #24) and kept, because a label is
not a transcript. The transcript still expires. The gesture that writes one is
two buttons beside the reply on `/chat`, reached over `ipc.CorrectTurn` and the
trace id that now rides back on `ipc.ChatReply`. A turn marked wrong with no
target is a usable negative, so naming the intent is never required. The target
is one of the seven intents and never free text. **All three reaches offer it as
of 06-08-2026**, and this section used to say only `/chat` did. Voice is the
`repair` rung, which has read spoken corrections since V-455 and now writes the
durable label beside the classifier seed it always wrote; a spoken negative with
no target is its own rung, `repair-negative` (V-636, `docs/plans/22-correcting-a-turn.md`).
Telegram is an inline keyboard under the reply, and it needed the chat to become
readable first — **telegram is no longer outbound only** (V-637,
`docs/plans/23-inbound-telegram.md`). The poller is dark unless the `telegram`
block says `intake`, it long-polls because the box takes no inbound connections,
it accepts `chat_id` and no other sender, and it drops whatever queued while the
daemon was down. It reaches the daemon through `ipc.CoreAPI` alone, so a chat
turn takes the path `POST /api/chat` takes. Note that the turn source is still
`tap:text` for both, so provenance cannot tell a chat turn from a typed one.
Adding a rung to the ladder
in `runTurn` means adding its name to `preRouteLadder` in
`cmd/mavend/decisiontrace.go`, or that rung is silently missing from the record.
**A route now says where the answer lives, not only that the turn is a question**
(V-655, 07-08-2026). `query` was a shrug. The cascade sorted an utterance into one of
seven intents, with stage 0, the resident model and the classifier behind it. Then
`IntentQuery` handed the turn to `querySources` in the daemon. That is twenty-two branches
deciding by seed similarity in a fixed order. It has no fixture and no accuracy
number, no model arm and no floor. `Decision.Source` (`internal/router/source.go`) is
the second half of the route. Twelve destinations, not twenty-two. The three recall
passes plus `fact-by-key` are one destination from outside. So are search, Kiwix and
the URL reader.
**`SourceUnknown` is a real value and it is the floor.** Nothing named a destination,
so the daemon walks the whole chain. That is byte-for-byte what shipped before the
field existed. The classifier arm names nothing, so a box whose model is down routes
queries exactly as it did.
`queryWalk` in `cmd/mavend/actions_query.go` takes sources **out** and moves none.
That is the safety argument and it is not negotiable. The table's order is
load-bearing. Every comment on it argues a reason between two sources, and above all
it carries "the owner's data first, then the world". Naming `SourceWorld` does not
send the turn outside on its own. His notes and his facts still run first, because
they look rather than guess.
**The personal boundary is the one exception and it is deliberate.** It guesses,
so naming `SourceWorld` drops it. That is what stops it answering "кто такой
Линус Торвальдс?" with "не нашла у тебя такой записи", which it did on
2026-08-07. `TestNamingRecallKeepsTheBoundary` pins the other half: naming
`SourceRecall` keeps the boundary in front of the world.
**Only a stage 0 grammar may drop it** (owner's call, 09-08-2026, V-666). The
question of who is allowed to was open until then. Three deciders name a
destination and two of them infer it: the routing heads and the resident model.
An inferred `SourceWorld` on a question about him would reach SearXNG, and that
widens what is asked rather than costing a local answer. So `Decision.SourceAnchored`
carries the provenance. It is a field and not `Stage == 0`. Stage 0 also means
confidence 1.0 and an anchored claim band, and one of those could stop implying
the others. `queryWalk` reads it for the source marked `boundary: true` and for
no other. So every other guesser still comes off the turn, whoever named the
destination. `TestOnlyAGrammarMayDropTheBoundary` pins both directions.
`definitionQueryPattern` claims "кто такой X", so the 2026-08-07 case is still
anchored and still answered.
What comes out is only the sources that **guess**. Those decide a turn is theirs by
cosine against frozen seeds, then answer whatever they claimed. They hold no table
that could come back empty. Weather is the pure case and has no local data at
all. It was measured on the box on 2026-08-07
(`docs/evals/2026-08-07-week-of-usage.md` section 4). It answered both "что такое
TCP?" and "сколько будет 17 на 23?" with "для какого города?". The feed answered "какой у меня любимый язык?" with kernel headlines.
The personal boundary answered "кто такой Линус Торвальдс?" with "не нашла у тебя
такой записи". A source that guesses is marked `guesses: true` in the table. One that
looks is not, and it is always asked.
Stage 0 fills the destination where a rule already knows it. `WorldQueryGrammars()`
(`internal/router/worldquery.go`) claims "что такое X" and "сколько будет 17 на 23".
It is wired after the agenda rules and **before** the feed and list rules.
"что такое лента" is a definition question, and the feed rule would take it on the
noun alone.
`calendar-query` and `event-time-query` name the calendar. The possessive agenda rules
deliberately do not. "что у меня в списке покупок" matches `agenda-query`, and naming
the calendar there would take the list source off the turn.
Fixture unchanged at **69/91 classifier+ONNX**, measured both sides. That is the
expected result, because it scores intent and no case here changes intent.
**The destination has its own fixture and its own number as of 08-08-2026**
(V-659, `docs/evals/2026-08-08-destination-fixture.md`). This section used to say
it had neither. `want_source` on `eval.Case` is a pointer, because the destination
has three states and a bare string has two. Absent is every intent but query,
which never reaches `queryWalk`. Present and empty is the `SourceUnknown`
contract: name nothing and walk the chain. Present and named is a destination the
route must produce. Thirty-three of ninety-six cases carry one.
A destination miss does **not** fail the case. It lands in `Outcome.SourceReason`
and never in `Reasons`, so `Accuracy` and `IntentAccuracy` mean what they meant
and `SourceAccuracy` is a second number over the labelled cases only. Intent and
destination are two decisions, and one number hides which one moved. A route that
lost its intent scores no destination hit, or a clarify would satisfy an empty
label for free.
Measured classifier+ONNX: intent **73/96 (76.0%)**, destination **12/33 (36.4%)**.
The split is the finding. World is 5/5, because a stage 0 rule names it. The
`SourceUnknown` floor is 5/7. Calendar is 2/6, because the possessive agenda
rules deliberately do not name it. And **recall is 0/15, because nothing
anywhere names it**. Those turns are still answered, since the chain walks
recall early. Recall is the number the fourth head has to move.
Seven cases assert the floor and five of them are homelab operations. They
cluster because `SourceRecall`, `SourceNetwork` and `SourceAttention` overlap on
every question about the box. The other two are `ru-query-005` and
`ru-query-014`. No query source reads the reminder store, and a deadline could
sit in tasks, the calendar or Praxis. `mavpoll` writes its netdata and uptime-kuma
observations into the fact store recall reads. That is a finding about the enum,
not a gap in the labelling. The owner confirmed all seven floor labels on
08-08-2026, so they are a decision rather than an agent's guess.
`baselineGrammars` in `eval_test.go` mirrors `buildRouter` and had drifted:
`WorldQueryGrammars` was wired into the daemon by V-655 and not into the mirror,
so the fixture scored a grammar set nobody runs. Fixed by V-659, worth 3 points of
destination and nothing else. Check that function when adding a grammar.
**The model arm landed the same day** (V-660,
`docs/evals/2026-08-08-destination-model-arm.md`). `routeGrammar` carries a
`source` rule closed over `router.Sources` plus the empty floor, so the model
cannot emit a destination that does not exist. The prompt lists the twelve in
Russian and says `""` is a normal answer to give often. `LLMRouter.Route` reads it
back through `ValidSource` and on `IntentQuery` alone. Against gemma-4-12b on the
workstation the cascade scores destination **24/33 (72.7%)** with intent unmoved
at 84.4%, and **recall goes 0/15 to 14/15**. The resident Qwen3-1.7B is
unmeasured, because it binds `--port 0` inside the container.
**Stage 0 now costs four destination points.** It did not before. The four cases
the cascade loses and the model alone wins are all calendar. The possessive
agenda rules claim them first and name nothing on purpose. That caution was free
while nothing downstream could name anything either. It is not free now, and the
fix is the owner's call rather than a quiet edit.
The last arm is V-546. Intent, mood and BIO slot tags were already three heads on
one forward pass of the resident e5-small. Destination is a fourth head on the
same pass, and 72.7% from a 12B teacher is the label source for training it.
## LLM output contract
All phrasing paths emit `{"response":"...","mood":"..."}`, with fallback to plain text when
the model skips the JSON. **One parser, `parseResponseMood` in
`internal/phraser/parse.go`**, and every path reaches it: the six `LLMPhraser` methods,
`PhraseWorld`, and `Replier.PhraseReply`, which `cmd/mavend/replier_llm.go` wraps — that file
holds the stub fallback and no parsing of its own. The legacy `{"body","summary"}` fallback
was deleted on 2026-08-06 (V-397): it was the contract before `{"response","mood"}` replaced
it, no prompt asks for that shape, the GBNF cannot emit it, and no test covered it.
Mood is a fixed enum. Router prompt is a separate contract:
`[{"intent":<enum>, key?, value?, text?, verb?}, ...]`, 7 intents (`fact, reminder,
note, query, act, chat, system`). `llm/check_prompt_parity.py` in the training
workspace enforces that the Go and relabelling prompts remain identical.
## Russian patterns — three mechanisms, no fourth
Hand-written Russian stem patterns were swept out on 2026-08-04 (owner's call: not a
pattern, and the resident model cannot be asked per turn either). A regex whose output is a
fact or a route is the defect; a regex over structured input — HTML, MIME, JSON, a URL, an
argv list — is not. Before writing a Russian word list, pick one of these:
- **`internal/lexicon`** — closed classes, in `lexicon_ru_v1.json`. Interrogatives,
capture verbs, reminder verbs, cardinals, day offsets, parts of day, weekdays, months,
spoken hours. Editing a word is a data change, and there is exactly one copy: months used
to live in three files. Cardinals carry the oblique forms, because a spoken time declines
and `в семь` / `к семи` are one hour.
- **`internal/morph`** — grammar, from the vendored golem Russian dictionary. `IsVerbForm`
and `SameWord`. Note that lemma matching is BROADER than stem-plus-one-ending, so a verb
slot that means the imperative must be matched exactly — `говори` and `говорил` are one
lemma and only one of them is a command (`cmd/mavend/quiet_toggle.go`).
- **`cmd/mavend/topics.go` and the embedder** — open sets, where the question is what a
turn is ABOUT. Frozen seeds per subject plus a real `other` class, scored against the
turn's own query vector. Same shape as the personal boundary in `personalboundary.go`,
with one difference: a topic must clear the runner-up by `topicMargin`, because a false
claim here spends a network scan rather than one honest "не знаю". The old keyword tests
stay as the offline floor and may remain narrow, since they are no longer the only answer.
- **The ecosystem trio** — when the answer is not in the utterance at all. Identity is
Nexus's, never a local pattern.
Seeds are scoring data. Editing one moves a recogniser and must be re-measured against the
`TestONNX*` tests, not eyeballed.
## Non-goals (hard constraints)
Not a nag, not autonomous. Maven's persona is **feminine** — Russian
self-reference must use feminine forms — `рада`, not `рад`; `поняла`, not `понял`. The owner
is male and is addressed informally: "ты", singular, never "вы"/"ваш" and never "он"/"его"
(she talks TO the owner, not about the owner). Pet names ("милый", "дорогой") are forbidden; the name
("Ками") is not. The eval enforces this: `CheckAddress`, `CheckFeminine` and `CheckCringe` in
`internal/phraser/eval/checks.go`, scored by `make eval-phrasing`.
**"Never phones home" is DEPRECATED** (owner's call, 2026-07-31). It used to be a hard
constraint and it is not one any more: a 0.8B — and a 1.7B — does not know enough to answer
world questions, so she needs to read external sources. What replaces it:
- **No telemetry, no cloud model, no third-party account.** That part never changes. Nothing
about Maven is reported to anyone, and inference stays on the box.
- **The owner's data first, then the world.** Every source that reads the owner's facts, notes, calendar,
tasks or house runs before anything outside, and the personal boundary sits between them.
Reading beats recalling for a small model.
- **In the world, live search leads and the ZIMs are the fallback** (owner's call,
2026-08-02). A self-hosted SearXNG (`search` block) answers first; the Kiwix ZIMs on
homesrv answer when the search is empty, unreachable, or the line is down.
**Verified with the line down on 2026-08-05** (V-508,
`docs/evals/2026-08-05-kiwix-offline-fallback.md`): a stopped SearXNG costs nothing,
the ZIM answers in the same turn budget. A blackholed host cost 8 seconds the owner waited
through. So the connect phase alone is capped at `dialTimeout` (1.5s), while a slow
instance that did connect keeps the full 8. **A Russian question reads
`wikipedia_ru_all_maxi_2026-02` verbatim** through `kiwix.book_ru`. The RU→EN rewriter
is the workaround for an English book and is skipped there. Kiwix catalog names come
from the filename, not the `<name>` field.
**That verbatim path sent the whole sentence to a keyword engine until 09-08-2026**
(V-668, `docs/evals/2026-08-09-kiwix-topic-retrieval.md`). Kiwix ranks by keyword
overlap, so the question words outrank the one word naming the article. "что такое TCP"
returned "Перехват TCP-соединения". "кто написал Войну и мир" returned an episode of
Doctor Who. `kiwix.Topic` drops the narrative request, the interrogative and a verb
behind one. `kiwix.TitlePath` tries the exact article first, since a ZIM is addressable
by title and a wrong title is a 404. Five of eight questions reach the right article
where they did not, one was already right, and nothing regressed. The title needs its
leading capital, so `TitleCandidates` tries the spoken form and then the capitalized
one. **"столица Франции" is answered by a title redirect to Париж**, which is the case
the 2026-08-05 measurement named as unreachable by any lexical signal. Both apply on the
verbatim path alone. The rewriter already reduces a question, and reducing twice takes
the topic off its input.
`Response.Empty()` is the whole gate and there is no quality threshold in front of it:
the three signals one could read were measured on 2026-08-05 and none of them separate a
real question from an invented one. Token overlap would cost "столица Франции" its
answer, because the answer is Париж and that word is not in the question. See
`docs/evals/2026-08-05-search-quality-signals.md` (V-539). **The embedder is not a
fourth signal**, measured 2026-08-09 (V-668). Query-to-passage cosine scores 0.79 to
0.91 on answerable questions and 0.75 to 0.84 on unanswerable ones, and the sets
overlap. The wrong TCP article scored 0.8653, above five of six unanswerable rows. It
measures topic and not whether the passage answers, so no threshold splits them. **Which query source claimed
a turn is readable on `/chat`** as a badge beside the reply, carried on
`ipc.ChatReply.Source` and noted by `noteQuerySource` in `cmd/mavend/querysource.go`. It
rides the context, so `handleText` keeps the one string signature the mic, telegram and
the web share.
- **External search is allowed and off unless configured**, like the weather and telegram
capabilities. The code default is still off. `deploy/mavend.json` now ships a `search`
block (owner's call, 2026-08-02), so it is on for this box and deleting the block turns
it off again.
- **The owner's notes and facts are never search input.** Looking up why the sky is blue and
sending the owner's stored personal notes to an upstream engine are different acts. Only the utterance goes
out, never the persona block, history, or matched notes.
## Web UI conventions
Server-rendered pages share `cmd/mavweb/static/ui.css` (served at `/ui.css`) and the shell
partial in `cmd/mavweb/shell.html`: a page opens with `{{template "shellTop" "<page-key>"}}`
and closes with `{{template "shellBottom"}}`, and the key marks the active sidebar link.
Every page is its own embedded `.html` file next to `main.go` — no page markup lives in Go,
and the sidebar is data (`sidebarSections`, `pageIcon`) the template renders. No
per-page `<style>` beyond true one-offs. Wrap every table in `<div class=scroll>` so wide
data pans on a phone. Local preview + headless screenshot recipe is in `AGENTS.md`.
## Vikunja
This repo is project **Maven** (ID 2) in Vikunja. MCP: `http://localhost:9100/mcp` (or
`http://192.168.1.104:9100/mcp` from workpc). Feature/bug/deploy tasks go there.
Vikunja is the durable task store. A task holds the goal, the constraints and the
assumption ledger. Work without a task id is work nobody can resume, so a session that
has no id asks for one before it starts.
The MCP tool schemas are deferred, so load the four you actually use in ONE call at the
start of a session rather than one lookup per first use:
```text
ToolSearch("select:mcp__vikunja__list_tasks,mcp__vikunja__get_task_details,mcp__vikunja__create_task,mcp__vikunja__update_task")
```
**Close a finished task with `done: true` and nothing else** (owner's call, 07-08-2026).
Do not write a completion summary into the description on the way out. It is lost anyway,
and the durable record is the commit messages and the merged PR. Note that `update_task`
carrying a `description` resets `done` to false, which is why a write-up ever took two
calls.
## Session workflow
`~/.local/bin/task` owns the branch, the commit identity and the PR. One task, one
session, one PR.
```sh
task start <vikunja-id> # branch off origin/master, write TASK.md, fetch review comments
task pr # push, open or refresh the PR, label Vikunja, notify
task comments # re-pull this branch's review comments into .task/
```
Around that, `/pickup` opens a session and `/wrap` closes it. Wrap at roughly half
context rather than letting the session compact.
Five stores, and each one owns something the others must not hold:
| Store | Holds | Lifetime |
|---|---|---|
| Vikunja task | goal, constraints, assumption ledger, status | durable |
| `CLAUDE.md`, `AGENTS.md` | what an agent must know before touching code | durable |
| `docs/` | design, measurements, decisions | durable |
| `TASK.md` | the brief for this branch, written by `task start`, immutable | one branch |
| `HANDOFF.md` | only what the next agent needs to resume | one session |
`TASK.md` and `.task/` are excluded through `.git/info/exclude`. `HANDOFF.md` is
gitignored and injected at session start. If a line in the handoff would still matter
next week, it is in the wrong file.
Docs are tiered by path, so staleness is visible from the filename. Files directly under
`docs/` are living and carry a `Last verified: <date> @ <sha>` line. Files under
`docs/evals/` are dated measurements and are never edited after the day, so a newer
number is a new file. Files under `docs/archive/` are dead and read by nobody by default.
## Git guards
Two hooks in `.githooks/`, tracked, wired with `core.hooksPath`. Fresh clone:
```sh
git config core.hooksPath .githooks
```
- `pre-commit` refuses master, and refuses more than 300 changed lines in non-markdown
files. Markdown is exempt and may land as one batch.
- `commit-msg` requires the subject to end with `(V-<id>)`. `V-` and not `#`, because
Gitea autolinks `#123` to a Gitea issue, which is the wrong tracker.
Two more guards live outside the repo, in `~/.claude/hooks/`. `diff-budget.sh` blocks
further edits past 600 changed lines on a `task/` branch. `prose_lint_hook.py` checks
prose on every write. Both measure against `origin/master`, so a local master that is
ahead of the remote makes the diff budget read high.
`--no-verify` exists. Using it means saying why in the commit body.