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Author SHA1 Message Date
kami 9a3bcd7c46 Merge the thinking-off measurement 2026-07-31 13:31:31 +04:00
kami 04c1088088 Measure thinking off on routing properly — it does not win (#376)
The 67.1% "thinking off" column in ROUTING-EVAL-31-07-2026.md was an
artefact. It came from a hand-rolled HTTP client in the eval test that
did not send repeat_penalty, so it differed from the reference run on two
axes and the penalty was the one that mattered.

Re-scored back to back on an idle box with everything else held equal:
thinking off is identical to thinking on, case for case, same confusion
matrix, same three unparseable replies. A direct probe of the running
llama-server shows enable_thinking, thinking and reasoning_budget are all
ignored for this model on this build, so there was nothing to turn off.

No defaults changed. The misleading third configuration is removed from
internal/router/eval so its table cannot be quoted again.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
2026-07-31 13:30:22 +04:00
kami 07c191d8b8 Merge dialogue session persistence 2026-07-31 13:21:03 +04:00
kami c668310b3e Persist the dialogue session so a restart keeps the conversation
Vikunja #363. The follow-up session was a plain in-memory map, so any
mavend restart dropped the thread. It now mirrors to a small TTL-pruned
sqlite table and is loaded on startup; expired sessions are deleted on
load, not revived. Clarify's pending question is untouched.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
2026-07-31 13:20:30 +04:00
kami 1bd2acdc2a Do not exempt Russian words that are both noun and verb 2026-07-31 12:55:45 +04:00
kami 15e5dd8eaa Merge the second-person gender check 2026-07-31 12:54:48 +04:00
kami 10cf6f525c Check that nudges do not address the owner in the feminine
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
2026-07-31 12:54:18 +04:00
kami e2210f6844 Merge the clarify-expiry notice 2026-07-31 12:52:36 +04:00
kami 214a4032cf Tell him when an expired clarify question is dropped
Vikunja #382. A parked clarifying question past its TTL was discarded
silently on read; now she says the old request is gone and the newly
spoken words are still routed as a fresh utterance.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
2026-07-31 12:51:47 +04:00
kami dc70a5a7ab Show clarify_max_attempts in the deployed config
The default is 3 either way. Writing it out means you can see the knob
without reading the Go.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
2026-07-31 12:34:28 +04:00
kami 06aded6ab0 Merge commit 'd2be98e' into overnight-jul31
# Conflicts:
#	cmd/mavend/clarify.go
#	cmd/mavend/clarify_test.go
#	cmd/mavend/voice.go
#	internal/config/config.go
2026-07-31 12:34:00 +04:00
kami d2be98ee2a Say out loud when she gives up instead of dropping the request
An unclear answer used to end the request on the spot. Now she re-asks the same
question while attempts remain, and when they run out she says
"Прости, я не поняла. Скажи, пожалуйста, по-другому." — silence would leave him
thinking it was handled. Same reply when the missing slot has no question to
ask, and as a floor in finishClarified so an empty reply can never ship.

Tests: three questions allowed, the fourth gives up out loud, the cap is
configurable, and a restated time is the one that lands.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
2026-07-31 12:31:55 +04:00
kami 62d320f93a Let her ask three times, and let a restated answer win
MaxAttempts was 1, justified as "not a nag". Wrong reading: "not a nag" is about
interrupting unprompted, and a clarifying question is part of a conversation he
started. Now three, configurable via voice.clarify_max_attempts (default 3).
Three, because after that the likely problem is she misheard the whole request,
not one slot.

Answer used to keep the parked value, so "в три" then "нет, в пять" threw the
five away. Now a value the answer carries wins for the slot she asked about.
Only for the clarify answer — a correction in a fresh turn is followUpMerge.

The eight-field chained assertion in the Answer test is one DeepEqual now, so a
new field in Slots is covered without touching the test.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
2026-07-31 12:31:46 +04:00
kami 796e6af3cf Merge commit '74a7088' into overnight-jul31 2026-07-31 12:24:20 +04:00
kami 74a70880a8 Write up the phrasing eval: 0/15 to 13/15, and what the number hides
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
2026-07-31 12:23:54 +04:00
kami a40bc559d5 Fix the nudge phrasing prompt: stop teaching the model to echo the example
The system prompt showed the JSON contract as {"response": "..."} and the
user prompt repeated it. A 0.8B copies whatever sits in the response slot, so
7 of 15 nudges came back as literally "...".

Changes, all prompt-side — the {"response","mood"} contract is unchanged:
- nudge system prompt is Russian, feminine self-reference, with filled-in
  examples on topics that never appear as rules, so copying them is visible
- rule names get a Russian gloss and a required keyword, named last in the
  prompt where a small model weights it hardest
- durations render in Russian, not English
- the no-parse fallback says something Russian instead of "water — care",
  which was going straight to a Russian piper voice
- same "..." placeholder removed from replier_llm.go

Scored on internal/phraser/eval: 0/15 -> 13/15.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
2026-07-31 12:23:03 +04:00
kami 1db0fcfcd0 Merge commit '4ca68d2' into overnight-jul31 2026-07-31 12:07:38 +04:00
kami 4ca68d2f3f Bake off LFM2.5 against Qwen3.5-0.8B on the RU routing fixture
Vikunja #278 / #250. Keep Qwen: LFM2.5-1.2B loses 8 points of intent
accuracy, all of it Russian, and runs 2.4x slower.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
2026-07-31 12:07:06 +04:00
kami 5a1d465db5 Merge commit '4383844' into overnight-jul31
# Conflicts:
#	deploy/mavend.json
#	internal/config/config.go
2026-07-31 11:52:21 +04:00
kami 43838445ab Write up the margin gate results
Third section: why the absolute gate could not separate the two
distributions, the delta sweep, and the before/after. Marks next-steps
item 3 done.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
2026-07-31 11:51:21 +04:00
kami 11831c6ace Gate recall on the margin over the runner-up, not just the score
The e5 embedder puts every cosine in one narrow band (0.79-0.89), so the
absolute query_min_score gate cannot tell a real hit from a made-up
question: any value under the band answers everything, any value above it
answers nothing. False recall was 5/5.

New gate asks whether one note is clearly the best instead: top1 - top2 >
delta. New query_min_margin config knob, default 0.008, read off the sweep
in the recall harness. The absolute floor stays as a second check.

On the recall fixture with e5: answered 72% -> 68%, false recall 5/5 -> 1/5.

Vikunja #359

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
2026-07-31 11:50:39 +04:00
kami 93c1a41d4a Route with the resident model by default
The two things that made this unsafe are fixed: the router can now
refuse, and slot extraction runs on its decisions.

On the held-out fixture it gets 63.2% of intents right against the
classifier's 50.0%, with no route errors. It costs about a second a
turn instead of 30ms.

The flag is a pointer now, so leaving it out of the config means on
and only writing false turns it off.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
2026-07-31 11:47:57 +04:00
kami bce5ed210c Merge branch 'worktree-agent-a76ce40c73601d90d' into overnight-jul31 2026-07-31 11:44:32 +04:00
kami c31f0d1001 Extract slots for LLM router decisions too
An LLM-routed reminder came back with no parsed time and an act with no
fn, because only the classifier path ran the extractor. Now the router
runs the same extraction after an LLM decision and fills only the empty
slots. No time in the utterance still means no time.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
2026-07-31 11:44:06 +04:00
kami 0b3b8d0a9e Test the clarify round-trip end to end at the daemon level
Covers: a reminder with no time is asked about and completes on the answer; the
same for a fact; an answer past the TTL falls through as a fresh utterance; a
second unclear answer drops the request with no second question; a clarified act
off the allowlist neither runs nor gets enabled; a clarified destructive act
still parks a confirm; noise keeps the canned reply. No model, no network.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
2026-07-31 02:31:07 +04:00
kami fe0e654ab1 Ask the question, then act on the answer
On a clarify decision with one identifiable gap she now asks instead of saying
"не поняла", and parks the request. The next utterance is parsed as the answer
with the router's own extractor and the completed decision runs through
applyAction like any other — so a clarified act still needs the allowlist and
still hits the destructive confirm gate. An answer that does not fill the gap
drops the request; she never asks twice. Also pulls the session-store block
that HandlePushToTalk and handleText both had into rememberTurn, since the
clarify path needed a third copy.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
2026-07-31 02:31:07 +04:00
kami a54ebac0cb Work out which slot is missing and phrase one short question
A table per intent (reminder needs a time, fact needs a key, act needs a fn)
plus one fixed Russian question per slot. Templates, not model output: a 0.8B
would wander and a question that rewords itself is harder to answer. Note,
query, chat and system get no question — for those a clarify decision keeps
the canned reply rather than inventing a question for noise.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
2026-07-31 02:31:07 +04:00
30 changed files with 1699 additions and 301 deletions
+101
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# Resident model bake-off — 31-07-2026
**Recommendation: keep Qwen3.5-0.8B.** LFM2.5-1.2B is worse at routing (52.6% vs 60.5%
intent accuracy), and the loss is almost entirely Russian (18/61 vs 22/61 RU, while EN is a
wash). It is also 2.4× slower. The Thinking variant is far worse again.
Settles Vikunja **#278 / #250**.
- Same fixture and scorer as `ROUTING-EVAL-31-07-2026.md`: `internal/router/eval/`
(`ru_routing_v1.json`, 76 held-out cases).
- Reproduce: `MAVEN_LLM_URL=http://127.0.0.1:<port> make eval-router`
(`TestLLMRouterBaseline`). Note: there is no `make eval-models` target.
- All three models served by the same `llama-server` flags — `-c 2048 -ngl 99 -t 6`, only
`-m` and `--port` differ. One server at a time on an otherwise idle box, so latencies are
real and not contention.
- Measured on top of the router prompt fix (`origin/overnight/router-prompt` merged in), so
the Qwen column is directly comparable to the numbers already recorded.
## Results
`llm-only` — the model alone. This is the column that measures the model.
| | Qwen3.5-0.8B | LFM2.5-1.2B Instruct | LFM2.5-1.2B Thinking |
|---|---|---|---|
| **intent-only accuracy** | **60.5%** | 52.6% | 36.8% |
| full accuracy (intent+slots+gate) | **36.8%** | 32.9% | 21.1% |
| **RU** | **22/61** | 18/61 | 10/61 |
| EN | 6/15 | **7/15** | 6/15 |
| route errors | 0 | 0 | 0 |
| **p50 / p95 latency** | **1.05s / 1.71s** | 2.47s / 3.62s | 2.42s / 3.24s |
| missed clarify | 6 / 6 | 6 / 6 | 6 / 6 |
`cascade+llm` — stage-0 → model → classifier floor, what #320 would actually ship. Same
ordering.
| | Qwen3.5-0.8B | LFM2.5-1.2B Instruct | LFM2.5-1.2B Thinking |
|---|---|---|---|
| intent-only accuracy | **61.8%** | 55.3% | 38.2% |
| full accuracy | **46.1%** | 42.1% | 30.3% |
| RU / EN | **27/61** / 8/15 | 23/61 / **9/15** | 15/61 / 8/15 |
| route errors | 0 | 0 | 0 |
| p50 / p95 latency | **1.28s / 1.94s** | 2.18s / 2.72s | 2.27s / 3.19s |
Full logs: the three runs are archived in the session scratchpad
(`qwen08.txt`, `lfm-instruct.txt`, `lfm-thinking.txt`).
## Russian-specific failures — the owner's worry is confirmed
LFM2.5's Russian loss is not spread out. It has one large, specific failure: **it hears
almost any Russian imperative or short phrase as `reminder`.**
- `перезапусти докер` → reminder (want act)
- `включи вытяжку` → reminder (want act)
- `закрой жалюзи` → reminder (want act)
- `заметка: продлить домен в августе` → reminder (want note)
- `запиши что кран на кухне снова капает` → reminder (want note)
- `доброе утро` → reminder (want chat)
- `спасибо тебе` → reminder (want note/chat)
- `переходи в тихий режим` → reminder (want system)
That is `note→reminder ×4`, `act→reminder ×4`, `chat→reminder ×2` in one run. Qwen's
equivalent failure axis is `query→fact ×8`, which is a narrower and already-understood bug.
Two more Russian-side problems worth naming:
1. **Fact keys come back empty or wrong in Russian.** `воды попил наконец`, `поужинал`,
`поспал часов пять` and `отметь что я позавтракал овсянкой` all returned an empty key.
`сходил в душ` and `отдохнул минут двадцать` both returned `water`. Qwen does not do this.
2. **It leaked German.** `slept about seven hours` produced the fact key
`"7 Stunden geschlafen"`. Grammar-valid, semantically garbage — a sign the multilingual
mix is not anchored where Maven needs it.
The claimed tool-calling advantage did not show up here. `act` is the closest thing this
fixture has to a tool call, and LFM2.5 got it wrong more often than Qwen, mostly by calling
it a reminder. It also produced no `fn` slot on any act, same as Qwen.
## The Thinking variant
Not viable. 36.8% intent accuracy, 10/61 Russian, and no latency saving over Instruct — the
thinking trace costs time without buying accuracy on a short enum classification. With the
`enable_thinking=false` diagnostic it collapsed further to 28.9% with 2 route errors
(`query→reminder ×12`). Do not pursue.
## Notes
- Nothing crashed, nothing ignored the GBNF grammar, and no model produced unparseable JSON
in the shippable configurations. Zero route errors for both Instruct and Thinking in
`llm-only` and `cascade+llm`. The problem with LFM2.5 is what it decides, not whether it
can emit the contract.
- The `6 / 6` missed clarify is unchanged across all three models. No model fixes the missing
refusal lane — that is `Confidence: 1.0` hardcoded in `llmrouter.go` (Vikunja #359), not a
model property.
- The report labels every configuration `(0.8B)`; that string is hardcoded in the test, not a
reflection of which gguf was loaded. Model identity was confirmed per run via `/v1/models`.
- No Go code was changed for this measurement, and no bug was found that needed one.
## What this does not settle
Routing only. LFM2.5 might still phrase better, and phrasing is the resident model's other
job — that needs its own fixture. But routing is the load-bearing path and Maven is
Russian-first, so on the evidence here the switch is not worth making.
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# Phrasing evaluation — 31-07-2026
How Maven words a nudge, measured instead of argued. Counterpart to
`ROUTING-EVAL-31-07-2026.md`.
- Fixture + scorer: `internal/phraser/eval/` (`nudges_v1.json`, 15 cases; `eval.go`, `checks.go`)
- Reproduce: `MAVEN_LLM_URL=http://127.0.0.1:18099 make eval-phrasing`
- Model: Qwen3.5-0.8B Q4_K_M, the resident model. Not swapped.
- Commit: `a40bc55` (prompt fix)
Every check is a string or length test a human can read and disagree with. No model
grades another model here.
## Result
| | before | after |
|---|---|---|
| **cases passing every check** | **0/15** | **13/15** |
| mood in enum | 6/15 | 15/15 |
| Russian | 2/15 | 14/15 |
| length (≤120 chars, ≤16 words) | 13/15 | 15/15 |
| feminine self-reference | 15/15 | 15/15 |
| no cringe | 13/15 | 15/15 |
| on topic | 6/15 | 13/15 |
| p50 latency | 11.4s | 11.4s |
Latency did not move and is not good. 11s to word one nudge on this box.
## The bug reproduced
Yes, exactly as reported. 7 of 15 messages were the literal string `"..."`, and one was
`"full voice message"`. Both are text copied straight out of the prompt.
The system prompt said:
```
Respond ONLY with valid JSON: {"response": "full voice message", "mood": "neutral"}
```
and the user prompt said:
```
Respond as JSON: {"response": "...", "mood": "..."}
```
A 0.8B does not read `"..."` as "put your answer here". It reads it as the answer. The
prompt was a worked example whose worked part was blank, so the model filled the slot by
copying. This is the whole of finding 1.
## What else was wrong
Four separate faults, all prompt-side:
1. **Placeholder echo** (7 cases) — above.
2. **Wrong language** (13/15 failed the language check). The prompt was entirely English
and said "in the user's language (Russian or English)". The model picked English. It is
never English: the nudge is spoken by a Russian piper voice.
3. **Rule names are English identifiers.** `netdata_critical`, `service_down`, `break` went
into the prompt raw. The model cannot nudge about a topic it has not been told in words,
so 9/15 were off topic. The daemon knows what its own rules mean; now it says so.
4. **Mood invented** (`"warm"`, twice). The enum was listed in a parenthesis at the end of
an English sentence. Now it is its own line: "ровно одно из: neutral, happy, thinking,
tired, confused."
Plus two non-prompt faults the run exposed:
- **The no-parse fallback was English.** When the model returned nothing usable, the body
became `fmt.Sprintf("%s — %s", rule, sev)``"water — care"` — and that string went to
a Russian TTS. Now it falls back to plain Russian.
- **Durations were English.** `humanDur` returns "3 hours"; it was landing verbatim inside
Russian sentences. Nudges now use a Russian formatter.
## Three iterations, and what each taught
| | score | change |
|---|---|---|
| baseline | 0/15 | — |
| iter 1 | 2/15 | Russian prompt, filled-in examples, Russian durations |
| iter 2 | 11/15 | required keyword per rule, one example instead of five, Russian fallback |
| iter 3 | **13/15** | examples moved to topics that are not rules |
The interesting step is 1 → 2. Fixing the placeholder did not fix the disease, it moved it:
the model stopped copying `"..."` and started copying my first example instead. Five nudges
in a row came back as `"Ты не пил воду три часа. Налей стакан."` regardless of the rule.
**A small model copies the nearest concrete text in its prompt.** That is one failure mode
with two symptoms. The fix that stuck was making the examples about laundry and a laptop
battery — topics no rule ever produces, so copying them is visible in the score rather than
invisibly passing the water cases.
## Do not oversell 13/15
Seven of the thirteen passes are the **deterministic fallback**, not the model:
`"Напоминаю: таблетки."`, `"Сервис не отвечает."`, `"Критический алярм: проверь диск."`,
`"Ты давно не пил воду."`. Those are strings this commit added to Go. The model returned
nothing parseable and the fallback scored.
So the honest reading is roughly **6/15 from the model, 7/15 from a fallback, 2/15 failing**.
The prompt fix is real — `"..."` is nearly gone and the language and mood checks are clean —
but a large part of the jump is that failure now degrades into Russian instead of into
`"water — care"`. That is a genuine improvement for the operator and a weak one for the model.
The two remaining failures: one `"..."` recurrence (`routine-stretch`) and one meal nudge
that never says food.
## Broken, found, not fixed
1. ~~**`checkFeminine` only catches half the constraint.**~~ **Fixed** (#381). It scanned for
masculine self-reference only, so three messages that addressed the *owner* in the feminine
("ты давно не отдыхал**а**") scored clean. There is now a second check, `hisgender`: a
feminine past-tense verb (-ла/-лась) in a sentence addressed to him ("ты", "тебе", "твой")
fails, unless the verb is hers ("я заметила", "напомнила тебе"). It is a suffix rule, not a
parser — see the comment in `checks.go` for what it misses. A fresh 15-case run after adding
it scored **12/15** with `hisgender` 15/15; the model did not repeat the feminine address in
that sample, and the check is pinned by unit tests on the recorded bad strings instead.
2. **Grammar is not checked at all, and it is bad.** `"Он не ел 11 дней"` (it was 11 hours),
`"Сонуждились 7 дней"` (not a word), `"Они забыли воду"` (wrong person entirely). Every
one of these passes all six checks. The fixture measures properties, not fluency, and at
0.8B fluency is the binding constraint.
3. **Unit confusion.** The model turns hours into days about a third of the time. The
prompt now says "11 ч"; it reads it as days.
4. **11s p50.** Unchanged and untouched here. A nudge the model takes eleven seconds to
word has missed its moment. Worth its own task.
5. **The keyword hint is close to teaching to the test.** `ruleKeywords` names the word the
on-topic check looks for. It is defensible — the daemon genuinely knows its rule topics
and the model genuinely cannot infer them from `netdata_critical` — but the on-topic
number is softer than the others because of it.
## Next steps
1. ~~**Add a second-person gender check**~~ — done, `hisgender` in `checks.go` (#381).
2. **Decide whether the fallback should count as a pass.** Right now `Score` cannot tell a
model answer from a fallback. Either mark fallback bodies in `PhrasedNudge` or count them
in their own column. Without that, any future prompt change can score well by failing
more.
3. **Attack the 11s.** Nudge phrasing is short and non-interactive; thinking off is the first
thing to try, as it was for routing (#376).
4. **Re-measure when #122 lands.** The CPT'd Qwen3-1.7B is the target. 13/15 with seven
fallbacks is the floor it has to beat, and the fluency problems above are the ones a
bigger, Russian-trained checkpoint should actually fix.
+85 -2
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@@ -143,14 +143,97 @@ the vector memory table was written by the old model, so after this deploy they
against a new query. A live database needs every note and fact re-embedded before recall works at
all. Filed as its own task.
## Margin gate — 31-07-2026, third run
Next-steps item 3, done. The absolute gate is replaced by a **margin gate**: answer only when the
top hit beats the runner-up by more than delta (`top1 top2 > δ`). Same fixture, same e5 embedder,
same store as the run above. `internal/memory/gate.go` holds the check; both read paths call it
(`cmd/mavend/recall.go` and the notes-RAG branch in `voice.go`). New knob `voice.query_min_margin`
in `deploy/mavend.json`, default 0.008.
### Why the absolute gate could not work, in one line of data
The harness now prints the margin distributions, and they barely overlap where the raw scores
overlap completely:
| | top-1 score | margin (top1 top2) |
|---|---|---|
| right note first (n=18) | min 0.810, median 0.862, max 0.890 | min 0.001, median 0.029, max 0.053 |
| must stay silent (n=5) | min 0.795, median 0.815, max 0.835 | min 0.000, median 0.002, **max 0.019** |
Four of the five must-be-silent cases have a margin at or under 0.002 — when there is nothing to
recall, e5 finds several notes equally close and no clear winner. That is the signal the absolute
score throws away.
### The delta sweep
Absolute gate held at 0.55 throughout.
```
delta 0.000: answered 18/25 (72%) false recall 5/5
delta 0.002: answered 17/25 (68%) false recall 3/5
delta 0.005: answered 17/25 (68%) false recall 2/5
delta 0.008: answered 17/25 (68%) false recall 1/5 <- chosen
delta 0.010: answered 15/25 (60%) false recall 1/5
delta 0.012: answered 14/25 (56%) false recall 1/5
delta 0.015: answered 12/25 (48%) false recall 1/5
delta 0.020: answered 11/25 (44%) false recall 0/5
delta 0.025: answered 9/25 (36%) false recall 0/5
delta 0.030: answered 8/25 (32%) false recall 0/5
delta 0.040: answered 4/25 (16%) false recall 0/5
delta 0.050: answered 2/25 ( 8%) false recall 0/5
delta 0.060: answered 0/25 ( 0%) false recall 0/5
```
### Chosen: δ = 0.008
It is the best point on the frontier, not a taste call. **0.008 dominates 0.010, 0.012 and 0.015
outright** — same 1/5 false recall, 8 to 20 points more real recall. Everything below it buys recall
back only by admitting more false recalls (0.005 → 2/5, 0.002 → 3/5). The next real improvement is
0.020 at 0/5 false, and it costs 24 points of recall to get there.
The brief's bar was "recall above 60% with false recall at 1/5 or better". 0.008 clears it with room:
68% and 1/5.
### Before / after
| | absolute gate 0.55 (previous) | margin gate δ=0.008 |
|---|---|---|
| recall@1 (ranking, ungated) | 72.0% (18/25) | 72.0% (18/25) — unchanged, the gate does not rank |
| **answered after the gate** | 72.0% (18/25) | **68.0% (17/25)** |
| **false recall** | **5/5 (100%)** | **1/5 (20%)** |
| fixture cases passed | 18/30 | **21/30** |
Four false recalls removed for one real answer. That is the trade the spec asks for — she is not a
guesser-of-truth. The one survivor is `en-pref-025` ("should i be offered wine"), which recalls a
filler note at 0.796 with a 0.019 margin: the widest silent-case margin in the fixture, and it sits
inside the real-recall range, so no delta removes it without taking real answers with it.
### Does the absolute cutoff still earn its keep? Marginally — kept
On this fixture with e5 it is a **no-op**: the lowest right-note score is 0.791, so 0.55 rejects
nothing the margin does not already reject. It is kept for two reasons, neither glamorous. It still
does real work for the hash embedder (its own sweep shows answers dropping from 16% to 0% between
0.30 and 0.50), and it is the only thing standing between the user and a reply built from a store
where everything is far away but one row happens to be a little less far — a near-empty database, or
the stale-vector case below. Cheap insurance, no measured cost. If a later embedder makes it bite,
the sweep is one command.
### Caveat on the numbers
Five must-be-silent cases is a thin basis for a 4-point decision. 1/5 and 2/5 differ by one case.
The shape of the frontier is trustworthy — margins separate, absolute scores do not — but δ=0.008
itself should be re-read off a bigger fixture (next-steps item 6) before anyone defends the third
decimal.
## Next steps — ordered by value-to-risk; nothing here is a decision
1. **Swap the embedder to `multilingual-e5-small` with `query:`/`passage:` prefixes.** One config
change plus a prefix in `onnxembedder.go`, re-measurable in one command.
2. **Re-run `make eval-recall`, then set the gate from the sweep** — not before. Any
`query_min_score` picked against today's embedder describes a model on its way out.
3. **Replace the absolute-score gate with a margin gate** (`top1 top2 > δ`) — as the routing eval
concluded, absolute cosine cannot see a flat distribution.
3. ~~**Replace the absolute-score gate with a margin gate**~~ — done, see the section above.
δ=0.008, false recall 5/5 → 1/5.
4. **Delete or repair the dead `memStore` branch** at `voice.go:776` — search before the gate,
gate it separately, or restrict it to facts and say so.
5. **Add a mild time decay to ranking** — the newest statement of a preference is the true one.
+59 -10
View File
@@ -66,15 +66,64 @@ Three things this run settles:
`запиши что…` phrasings toward fact, and that suspicion stands — all five `ru-note-*`
cases now land on fact. Tracked as Vikunja #375.
**Thinking off is the best configuration measured so far**, on both accuracy and latency
(Vikunja #376). That is worth understanding before flipping: routing is a short
classification into a fixed enum with grammar-constrained output, so there is little to
reason about, and the thinking trace mostly gives a small model room to talk itself out of
the right answer. Phrasing is a different job and needs measuring separately.
The `thinking off` column above read as the best configuration measured so far (Vikunja #376).
**It was wrong** — see the controlled re-run below. Ignore that column.
Still `6 / 6` missed clarify — the router has no way to say "I don't know" (Vikunja #359).
That is unchanged by anything here.
## Thinking off — 31-07-2026, controlled re-run (Vikunja #376)
The "thinking off wins by 6 points" observation above **does not hold**. It was a measurement
artefact, and the earlier table's `thinking off` column should be ignored.
The thinking-off variant was scored by a hand-rolled HTTP client living in the test file
instead of `llm.Client`. That copy did not send `repeat_penalty`, which the real router does
send (`routeRepeatPenalty = 1.15`). So the two columns differed on two axes at once, and the
one that mattered was the penalty, not the thinking mode.
Re-measured with everything else held equal — same fixture, same prompt, same grammar, same
sampling, same idle box, the three configurations run back to back and never concurrently:
| | llm-only, thinking on | llm-only, thinking off | cascade+llm |
|---|---|---|---|
| intent-only accuracy | 59.2% (45/76) | 59.2% (45/76) | 61.8% (47/76) |
| full accuracy (intent+slots+gate) | 38.2% (29/76) | 38.2% (29/76) | 57.9% (44/76) |
| route errors | 3 | 3 | 0 |
| grammar violations | 3 (all 3 route errors) | 3 (same 3 cases) | 0 |
| missed clarify | 5 / 6 | 5 / 6 | 5 / 6 |
| p50 latency | 836ms | 920ms | 810ms |
| p95 latency | 1.41s | 2.00s | 1.31s |
Thinking off is not just a tie on the headline numbers — it is identical case for case, with
the same confusion matrix and the same three unparseable replies. The latency difference is
run-to-run noise on one box, and it points the wrong way here.
The reason is simpler than any accuracy argument: **this llama-server build ignores the
request-level thinking switch for this model.** Probed directly against the running server
with `chat_template_kwargs.enable_thinking = false`, `chat_template_kwargs.thinking = false`
and top-level `reasoning_budget = 0` — all three return a byte-identical answer with the
thinking trace still in `reasoning_content`, and the server reports the prompt prefix as
cached, meaning the rendered template did not change. There was never anything being turned
off, which is also why the numbers match exactly.
Nothing was defaulted. `internal/llm` still has no `chat_template_kwargs` field, `VoiceConfig`
has no thinking flag, and `deploy/mavend.json` is unchanged. The misleading third
configuration is removed from `internal/router/eval` so the table it produced cannot be quoted
again.
Two caveats worth saying out loud:
- **The fixture is 76 cases.** A 6-point difference on 76 cases is roughly 4-5 cases and would
not have been worth trusting even if it had reproduced. This one was exactly 0 cases, which
is a much easier call.
- **This is one server build and one checkpoint** (`b9351`, Qwen3.5-0.8B Q4_K_M). If the
#122 checkpoint or a newer llama.cpp does honour the switch, the question reopens — but it
reopens as an unmeasured question, not as a 6-point win.
Phrasing was **not** measured. Whether thinking helps there is still open, and now also blocked
on the same "can we even turn it off" question.
## Findings
### 1. The resident model does route better — 50.0% vs 36.8%
@@ -145,11 +194,11 @@ Note the grammar's `string ::= "\"" ([^"\\] | "\\" .)* "\""` is unbounded, so no
### 7. Two hypotheses tested and closed
- **Thinking mode is a non-issue.** Qwen3.5's template defaults `thinking = 1`, so
grammar-constrained JSON lands in `reasoning_content` with `content` empty —
`llm.Client`'s fallback handles it. A `thinking off` run scored *identically* (18/76,
48.7%, same p50). `internal/llm` deliberately does **not** grow a `chat_template_kwargs`
field.
- **Thinking mode is a non-issue.** Confirmed twice now, the second time properly — see the
controlled re-run section. Grammar-constrained JSON lands in `reasoning_content` with
`content` empty and `llm.Client`'s fallback handles it; the request-level switch does
nothing on this build. `internal/llm` deliberately does **not** grow a
`chat_template_kwargs` field.
- **Runaway array repetition does not reproduce.** An isolated smoke test with a stripped
grammar emitted `{"intent":"reminder"}` until `MaxTokens`; under the real `routeSystem`
prompt the few-shot examples anchor it to one object. 2 errors in 76, not 76.
+78 -17
View File
@@ -40,9 +40,44 @@ var clarifyQuestions = map[dialogue.Slot]string{
dialogue.SlotFn: "Что сделать?",
}
// clarifyDropped — she asked once, the answer still did not fill the gap, so
// the request is gone. Said plainly, once, with no second question.
const clarifyDropped = "Не разобрала — скажи целиком, пожалуйста."
// clarifyGaveUp — she is out of questions and still does not have the slot. She
// says so out loud: dropping the request in silence would leave him thinking it
// landed. Feminine self-reference ("поняла"), as everywhere.
const clarifyGaveUp = "Прости, я не поняла. Скажи, пожалуйста, по-другому."
// clarifyExpired — his answer came after the TTL, so the parked request is
// already gone. Same tone as clarifyGaveUp, different reason: too much time
// passed, not "I did not understand". Feminine self-reference ("ждала",
// "отпустила"); he is addressed with a plain imperative.
const clarifyExpired = "Прости, я слишком долго ждала ответа и отпустила прошлую просьбу. Если она ещё нужна, скажи заново."
// clarifyExpiredNotice returns that line when a parked question had just timed
// out, and "" when nothing was parked. Call it right after
// resolveClarifyAnswer: a live question is answered there, an expired one is
// only reported here — the words themselves still go on to be routed fresh.
func (h *reactiveHandler) clarifyExpiredNotice() string {
if h.clarifyStore == nil {
return ""
}
if !h.clarifyStore.TakeExpired(voiceDialogueID, h.now()) {
return ""
}
log.Printf("voice: clarify — parked question expired, telling him and routing the words fresh")
return clarifyExpired
}
// withNotice glues the expiry notice in front of this turn's reply. One turn
// carries one reply on the wire, so the notice cannot be a message of its own —
// but neither the notice nor the fresh answer may be dropped.
func withNotice(notice, reply string) string {
if notice == "" {
return reply
}
if reply == "" {
return notice
}
return notice + " " + reply
}
// missingFor returns the slots a decision still needs, most important first.
// Empty ⇒ there is nothing identifiable to ask about.
@@ -79,13 +114,14 @@ func (h *reactiveHandler) askClarify(dec router.Decision) (string, bool) {
return "", false
}
h.clarifyStore.Put(voiceDialogueID, &dialogue.PendingQuestion{
Intent: dialogue.Intent(dec.Intent),
Slots: toDialogueSlots(dec.Slots),
Missing: []dialogue.Slot{slot},
Utterance: dec.Utterance,
Asked: h.now(),
TTL: clarifyTTL,
Attempts: 1, // asked once; MaxAttempts is 1, so there is no second ask
Intent: dialogue.Intent(dec.Intent),
Slots: toDialogueSlots(dec.Slots),
Missing: []dialogue.Slot{slot},
Utterance: dec.Utterance,
Asked: h.now(),
TTL: clarifyTTL,
Attempts: 1, // this ask
MaxAttempts: h.clarifyMaxAttempts,
})
log.Printf("voice: clarify — asked about %s for intent=%s", slot, dec.Intent)
return question, true
@@ -97,8 +133,9 @@ func (h *reactiveHandler) askClarify(dec router.Decision) (string, bool) {
// resolveConfirm and checked in the same place.
//
// The answer is parsed with the same extractor the router uses, for the intent
// she parked — no second parser. If it still does not fill the gap the request
// is dropped: she does not ask again.
// she parked — no second parser. If it still does not fill the gap she asks
// again, up to MaxAttempts; after that she says out loud that she did not
// understand. She never drops the request in silence.
func (h *reactiveHandler) resolveClarifyAnswer(ctx context.Context, text string) (string, bool) {
if h.clarifyStore == nil {
return "", false
@@ -107,17 +144,14 @@ func (h *reactiveHandler) resolveClarifyAnswer(ctx context.Context, text string)
if q == nil {
return "", false
}
// One shot either way: the question is consumed whether or not the answer
// works, so a failed answer can't leave the question armed.
h.clarifyStore.Delete(voiceDialogueID)
intent := router.Intent(q.Intent)
answer := h.extractor.Extract(ctx, intent, text, h.now())
merged := q.Answer(text, toDialogueSlots(answer))
if len(dialogue.StillMissing(q.Missing, merged)) > 0 {
log.Printf("voice: clarify — answer %q did not fill %v, dropping", text, q.Missing)
return clarifyDropped, true
return h.reaskOrGiveUp(q, merged, text), true
}
h.clarifyStore.Delete(voiceDialogueID)
// Rebuild the decision as if it had routed cleanly, then run it down the
// normal path. Clarify is deliberately false and the intent is unchanged:
@@ -133,6 +167,29 @@ func (h *reactiveHandler) resolveClarifyAnswer(ctx context.Context, text string)
return h.finishClarified(ctx, dec), true
}
// reaskOrGiveUp handles an answer that left the gap open: ask the same question
// again while she has attempts left, otherwise say she did not understand and
// let the request go. Never returns "" — a mute give-up reads as "done".
func (h *reactiveHandler) reaskOrGiveUp(q *dialogue.PendingQuestion, merged dialogue.Slots, text string) string {
question := ""
if len(q.Missing) > 0 {
question = clarifyQuestions[q.Missing[0]]
}
if question == "" || !q.CanAsk() {
h.clarifyStore.Delete(voiceDialogueID)
log.Printf("voice: clarify — gave up on %v after %d question(s), answer was %q", q.Missing, q.Attempts, text)
return clarifyGaveUp
}
// Re-park with whatever the answer DID give, the clock restarted and one
// more question spent.
q.Slots = merged
q.Attempts++
q.Asked = h.now()
h.clarifyStore.Put(voiceDialogueID, q)
log.Printf("voice: clarify — answer %q did not fill %v, asking again (attempt %d)", text, q.Missing, q.Attempts)
return question
}
// finishClarified runs a completed decision through the same steps a freshly
// routed one takes: remember the turn, act, then phrase.
func (h *reactiveHandler) finishClarified(ctx context.Context, dec router.Decision) string {
@@ -146,6 +203,10 @@ func (h *reactiveHandler) finishClarified(ctx context.Context, dec router.Decisi
if reply == "" {
reply = h.replier.Reply(dec)
}
if reply == "" {
// Belt: an empty reply here would be a silent drop.
reply = clarifyGaveUp
}
return reply
}
+102 -11
View File
@@ -86,7 +86,7 @@ func TestClarifyReminderCompletesOnAnswer(t *testing.T) {
if !handled {
t.Fatal("the answer to an open question must be consumed as an answer")
}
if reply == clarifyDropped {
if reply == clarifyGaveUp {
t.Fatalf("a good answer must not drop the request: %q", reply)
}
@@ -111,7 +111,7 @@ func TestClarifyFactCompletesOnAnswer(t *testing.T) {
if _, asked := h.askClarify(clarifyDec(router.IntentFact, router.Slots{Text: "запиши"}, "запиши")); !asked {
t.Fatal("a fact with no key should be asked about")
}
if reply, handled := h.resolveClarifyAnswer(ctx, "пил воду"); !handled || reply == clarifyDropped {
if reply, handled := h.resolveClarifyAnswer(ctx, "пил воду"); !handled || reply == clarifyGaveUp {
t.Fatalf("answer should complete the fact, handled=%v reply=%q", handled, reply)
}
if fact, err := st.LatestFact(ctx, "water"); err != nil || fact.Key != "water" {
@@ -137,26 +137,87 @@ func TestClarifyAnswerAfterTTLIsANewRequest(t *testing.T) {
}
}
// TestClarifyUnclearAnswerDropsWithoutAskingAgain — MaxAttempts is 1.
func TestClarifyUnclearAnswerDropsWithoutAskingAgain(t *testing.T) {
// TestClarifyAsksThreeTimesThenSaysSo — three questions are allowed, the fourth
// is not, and running out is SPOKEN. Silence would read as "handled".
func TestClarifyAsksThreeTimesThenSaysSo(t *testing.T) {
ctx := context.Background()
h, st, _ := newClarifyHandler(t)
if _, asked := h.askClarify(clarifyDec(router.IntentReminder, router.Slots{Text: "напомни"}, "напомни")); !asked {
t.Fatal("expected a question")
t.Fatal("expected a first question")
}
// Two more unclear answers ⇒ two more questions (3 asks in total).
for i := 2; i <= 3; i++ {
reply, handled := h.resolveClarifyAnswer(ctx, "ну не знаю")
if !handled {
t.Fatalf("answer %d must be consumed as an answer", i)
}
if reply != "На когда напомнить?" {
t.Fatalf("attempt %d should ask again, got %q", i, reply)
}
if h.clarifyStore.Get(voiceDialogueID, h.now()) == nil {
t.Fatalf("attempt %d must leave the question armed", i)
}
}
reply, handled := h.resolveClarifyAnswer(ctx, "ну не знаю")
if !handled || reply != clarifyDropped {
t.Fatalf("an unclear answer should drop the request, handled=%v reply=%q", handled, reply)
if !handled || reply != clarifyGaveUp {
t.Fatalf("the fourth try must give up out loud, handled=%v reply=%q", handled, reply)
}
if strings.Contains(reply, "?") {
t.Fatalf("she must not ask a second question: %q", reply)
if reply == "" || strings.Contains(reply, "?") {
t.Fatalf("giving up must be spoken and must not be another question: %q", reply)
}
if h.clarifyStore.Get(voiceDialogueID, h.now()) != nil {
t.Fatal("a dropped request must leave no armed question")
t.Fatal("a given-up request must leave no armed question")
}
if reminders, err := st.DueReminders(ctx, h.now().Add(48*time.Hour)); err != nil || len(reminders) != 0 {
t.Fatalf("a dropped request must not create anything: reminders=%v err=%v", reminders, err)
t.Fatalf("a given-up request must not create anything: reminders=%v err=%v", reminders, err)
}
}
// TestClarifyMaxAttemptsIsConfigurable — one question when the config says one.
func TestClarifyMaxAttemptsIsConfigurable(t *testing.T) {
ctx := context.Background()
h, _, _ := newClarifyHandler(t)
h.clarifyMaxAttempts = 1
if _, asked := h.askClarify(clarifyDec(router.IntentReminder, router.Slots{Text: "напомни"}, "напомни")); !asked {
t.Fatal("expected a question")
}
if reply, handled := h.resolveClarifyAnswer(ctx, "ну не знаю"); !handled || reply != clarifyGaveUp {
t.Fatalf("with max 1 she must give up at once, handled=%v reply=%q", handled, reply)
}
}
// TestClarifyRestatedAnswerWins — «в 11:00», then «нет, в 15:00». The second
// value is the one that lands.
func TestClarifyRestatedAnswerWins(t *testing.T) {
ctx := context.Background()
h, st, _ := newClarifyHandler(t)
if _, asked := h.askClarify(clarifyDec(router.IntentReminder, router.Slots{Text: "напомни позвонить маме"}, "напомни позвонить маме")); !asked {
t.Fatal("expected a question")
}
// First answer parses, but re-park it by hand as if she had asked again:
// what matters here is that Answer prefers the newer value over the parked
// one, which is the case the daemon hits on a re-ask.
q := h.clarifyStore.Get(voiceDialogueID, h.now())
if q == nil {
t.Fatal("expected an armed question")
}
first := h.extractor.Extract(ctx, router.IntentReminder, "в 11:00", h.now())
q.Slots = q.Answer("в 11:00", toDialogueSlots(first))
if reply, handled := h.resolveClarifyAnswer(ctx, "нет, в 15:00"); !handled || reply == clarifyGaveUp {
t.Fatalf("the restated answer should complete the request, handled=%v reply=%q", handled, reply)
}
reminders, err := st.DueReminders(ctx, h.now().Add(48*time.Hour))
if err != nil || len(reminders) != 1 {
t.Fatalf("expected one reminder: %v err=%v", reminders, err)
}
want := h.extractor.Extract(ctx, router.IntentReminder, "в 15:00", h.now())
if !reminders[0].FireTs.Equal(want.Time) {
t.Fatalf("reminder at %v, want the restated %v", reminders[0].FireTs, want.Time)
}
}
@@ -228,6 +289,36 @@ func TestNoQuestionWhenNothingIsMissing(t *testing.T) {
}
}
// TestClarifyExpiryIsAnnouncedAndWordsStillRoute — his answer lands after the
// TTL: she must say the old request is gone AND still answer the new words.
func TestClarifyExpiryIsAnnouncedAndWordsStillRoute(t *testing.T) {
ctx := context.Background()
h, _, now := newClarifyHandler(t)
emb := router.NewHashEmbedder(1024)
h.embedder = emb
h.router = buildRouter(emb, h.matcher, 0.55, nil)
if _, asked := h.askClarify(clarifyDec(router.IntentReminder, router.Slots{Text: "напомни"}, "напомни")); !asked {
t.Fatal("expected a question")
}
*now = now.Add(clarifyTTL + time.Second)
reply := h.handleText(ctx, "как дела")
if !strings.HasPrefix(reply, clarifyExpired) {
t.Fatalf("expired question must be announced first, got %q", reply)
}
if strings.TrimSpace(strings.TrimPrefix(reply, clarifyExpired)) == "" {
t.Fatalf("the new words must still be answered, got only the notice: %q", reply)
}
if h.clarifyStore.Get(voiceDialogueID, h.now()) != nil {
t.Fatal("the expired question must be gone")
}
// The notice is said once, not on every later utterance.
if reply := h.handleText(ctx, "как дела"); strings.Contains(reply, clarifyExpired) {
t.Fatalf("notice repeated on a later turn: %q", reply)
}
}
// TestNoPendingQuestionFallsThrough — with nothing parked, an utterance routes
// normally.
func TestNoPendingQuestionFallsThrough(t *testing.T) {
+5 -8
View File
@@ -8,16 +8,13 @@ import "github.com/kami/maven/internal/memory"
// that can answer "when did I last …?" from a captured fact). A note hit here
// is redundant with the notes-RAG path — by design; the two indexes can diverge
// once the backend is swapped for a persistent/external store. ok=false when
// there's no hit above the threshold or the hit carries no text.
func bestRecall(results []memory.Result, min float64) (string, bool) {
if len(results) == 0 {
// the hit fails the confidence gate (see memory.Confident: an absolute floor
// plus a margin over the runner-up) or carries no text.
func bestRecall(results []memory.Result, minScore, minMargin float64) (string, bool) {
if !memory.Confident(results, minScore, minMargin) {
return "", false
}
top := results[0]
if top.Score < min {
return "", false
}
text := top.Meta["text"]
text := results[0].Meta["text"]
if text == "" {
return "", false
}
+17 -4
View File
@@ -8,23 +8,24 @@ import (
func TestBestRecall(t *testing.T) {
const min = 0.55
const margin = 0.008
t.Run("empty results", func(t *testing.T) {
if _, ok := bestRecall(nil, min); ok {
if _, ok := bestRecall(nil, min, margin); ok {
t.Error("empty results returned ok")
}
})
t.Run("top below threshold", func(t *testing.T) {
res := []memory.Result{{Score: 0.4, Meta: map[string]string{"text": "выпил воды"}}}
if _, ok := bestRecall(res, min); ok {
if _, ok := bestRecall(res, min, margin); ok {
t.Error("below-threshold hit returned ok")
}
})
t.Run("hit without text meta", func(t *testing.T) {
res := []memory.Result{{Score: 0.9, Meta: map[string]string{"type": "fact"}}}
if _, ok := bestRecall(res, min); ok {
if _, ok := bestRecall(res, min, margin); ok {
t.Error("textless hit returned ok")
}
})
@@ -34,7 +35,7 @@ func TestBestRecall(t *testing.T) {
{Score: 0.82, Meta: map[string]string{"text": "выпил воды в три часа", "type": "fact"}},
{Score: 0.60, Meta: map[string]string{"text": "другое"}},
}
got, ok := bestRecall(res, min)
got, ok := bestRecall(res, min, margin)
if !ok {
t.Fatal("clearing hit not returned")
}
@@ -42,4 +43,16 @@ func TestBestRecall(t *testing.T) {
t.Errorf("wrong text: %q", got)
}
})
// The runner-up is almost as close, so the embedder cannot tell the two
// notes apart. Silence beats reading back a coin flip.
t.Run("runner-up too close", func(t *testing.T) {
res := []memory.Result{
{Score: 0.860, Meta: map[string]string{"text": "выпил воды в три часа"}},
{Score: 0.858, Meta: map[string]string{"text": "другое"}},
}
if _, ok := bestRecall(res, min, margin); ok {
t.Error("thin-margin hit returned ok")
}
})
}
+3 -1
View File
@@ -29,7 +29,9 @@ func newLLMReplier(c completer) *llmReplier {
return &llmReplier{c: c, stub: voice.NewStubReplier()}
}
const replySystem = `Ты — Maven, домашняя ассистентка (о себе — в женском роде). Подтверди действие РОВНО ОДНИМ коротким предложением (≤120 символов), тепло и по-русски. Не задавай вопросов, не повторяй слова, не добавляй ничего после точки. Respond ONLY with valid JSON: {"response": "...", "mood": "neutral"}.`
const replySystem = `Ты — Maven, домашняя ассистентка (о себе — в женском роде). Подтверди действие РОВНО ОДНИМ коротким предложением (≤120 символов), тепло и по-русски. Не задавай вопросов, не повторяй слова, не добавляй ничего после точки. Отвечай ТОЛЬКО одним объектом JSON с полями "response" (текст) и "mood" (ровно одно из: neutral, happy, thinking, tired, confused).
Пример: {"response": "Записала, что ты выпил стакан воды.", "mood": "neutral"}
Никогда не пиши "..." в поле response.`
func (r *llmReplier) Reply(d router.Decision) string {
if d.Clarify {
+66 -30
View File
@@ -206,11 +206,11 @@ func wireVoice(cfg *config.Config, coreAPI ipc.CoreAPI, phr phraser.Phraser, mem
if threshold <= 0 {
threshold = config.DefaultRouterThreshold
}
// Both routing paths are weak on held-out utterances — the classifier gets
// 36.8% of intents right, the resident model 50.0% and much slower. Off by
// default (see config.VoiceConfig.LLMRouter); the classifier always stays
// wired as the fallback, so a model error never breaks a turn.
rtr := buildRouter(emb, matcher, threshold, pickLLMRouter(cfg.Voice.LLMRouter, llmClient))
// The resident model routes by default: 63.2% of held-out intents right
// against the classifier's 50.0%, at about 1s a turn instead of 30ms (see
// config.VoiceConfig.LLMRouter). The classifier always stays wired as the
// fallback, so a model error never breaks a turn.
rtr := buildRouter(emb, matcher, threshold, pickLLMRouter(cfg.Voice.UseLLMRouter(), llmClient))
// ----- sessions registry (shared with voicesink) -----
sessions := voice.NewSessions()
@@ -227,7 +227,18 @@ func wireVoice(cfg *config.Config, coreAPI ipc.CoreAPI, phr phraser.Phraser, mem
}
// ----- dialogue (multi-turn slot carry-over; 2-min follow-up window) -----
dialogueSessions := dialogue.NewSessionStore(2 * time.Minute)
// Store-backed when the daemon passes a store, so a restart mid-conversation
// keeps the thread (Vikunja #363). Sessions past their TTL are dropped on
// load, never revived. Clarify's parked question stays in memory only.
var dialogueSessions *dialogue.SessionStore
if dataStore != nil {
dialogueSessions = dialogue.NewPersistentSessionStore(2*time.Minute, dataStore)
if err := dialogueSessions.Load(context.Background(), time.Now()); err != nil {
log.Printf("dialogue: load saved sessions: %v", err)
}
} else {
dialogueSessions = dialogue.NewSessionStore(2 * time.Minute)
}
clarifyStore := dialogue.NewClarifyStore(clarifyTTL)
timeParser := router.NewPythonDateParser()
@@ -255,10 +266,13 @@ func wireVoice(cfg *config.Config, coreAPI ipc.CoreAPI, phr phraser.Phraser, mem
dataStore: dataStore,
dialogueSessions: dialogueSessions,
clarifyStore: clarifyStore,
extractor: router.Extractor{Time: timeParser, Acts: matcher, Facts: router.DefaultFactParser{}},
queryMinScore: cfg.Voice.QueryMinScore,
timeParser: timeParser,
ecosystem: eco,
// 0 here (unset config) ⇒ the dialogue default.
clarifyMaxAttempts: cfg.Voice.ClarifyMaxAttempts,
extractor: router.Extractor{Time: timeParser, Acts: matcher, Facts: router.DefaultFactParser{}},
queryMinScore: cfg.Voice.QueryMinScore,
queryMinMargin: cfg.Voice.QueryMinMargin,
timeParser: timeParser,
ecosystem: eco,
}
// ----- the server (TCP listener) -----
@@ -300,6 +314,9 @@ type reactiveHandler struct {
// load-bearing math (same posture as the presence thresholds). Set by
// wireVoice from VoiceConfig; default 0.55.
queryMinScore float64
// queryMinMargin — the second half of that gate: how far the top hit must
// beat the runner-up. 0 ⇒ margin off.
queryMinMargin float64
// timeParser — used as a fallback for stage-0 reminder grammar matches
// (where the extractor didn't run). Shared with the router's extractor.
@@ -314,6 +331,10 @@ type reactiveHandler struct {
// clarify.go). nil ⇒ she falls back to the canned "не поняла" reply.
clarifyStore *dialogue.ClarifyStore
// clarifyMaxAttempts — questions per request before she gives up out loud.
// 0 ⇒ dialogue.DefaultMaxAttempts (3). Set from VoiceConfig.
clarifyMaxAttempts int
// extractor parses the answer to an open question, with the same parsers
// the router's own stage-2 uses.
extractor router.Extractor
@@ -392,9 +413,17 @@ func (h *reactiveHandler) HandlePushToTalk(ctx context.Context, req voice.PushTo
return h.reply(ctx, reply, nil)
}
// 1b2. clarify answer — if she asked a question last turn, this utterance is
// its answer, not a fresh command. After the confirm check: a y/n gate is
// armed by her own prompt and is the narrower claim on the utterance.
// 1b2. expired clarify — a question was parked but its TTL ran out, so the
// request behind it is gone. Say that out loud (see clarify.go) and carry
// on: these words are still routed as a fresh utterance below, with the
// notice glued in front of whatever the fresh routing answers. Checked
// BEFORE the answer path: reading a parked question drops an expired one.
expiredNotice := h.clarifyExpiredNotice()
// 1b3. clarify answer — if she asked a live question last turn, this
// utterance is its answer, not a fresh command. After the confirm check: a
// y/n gate is armed by her own prompt and is the narrower claim on the
// utterance.
if reply, handled := h.resolveClarifyAnswer(ctx, text); handled {
return h.reply(ctx, reply, nil)
}
@@ -404,7 +433,7 @@ func (h *reactiveHandler) HandlePushToTalk(ctx context.Context, req voice.PushTo
// unreliably (it's a command, not a free-form query), so we match it
// before routing. Same pattern as the confirm turn above.
if reply, handled := h.resolveQuietToggle(ctx, text); handled {
return h.reply(ctx, reply, nil)
return h.reply(ctx, withNotice(expiredNotice, reply), nil)
}
// 2. router — classify the utterance.
@@ -413,10 +442,10 @@ func (h *reactiveHandler) HandlePushToTalk(ctx context.Context, req voice.PushTo
// ErrNoIntents ⇒ classifier unseeded (cold boot). reply with a
// "still warming up" rather than a wire error.
if errors.Is(err, router.ErrNoIntents) {
return h.reply(ctx, "я ещё не понимаю свободную речь — скоро научусь.", nil)
return h.reply(ctx, withNotice(expiredNotice, "я ещё не понимаю свободную речь — скоро научусь."), nil)
}
log.Printf("voice: router error: %v", err)
return h.reply(ctx, "не получилось разобрать команду.", nil)
return h.reply(ctx, withNotice(expiredNotice, "не получилось разобрать команду."), nil)
}
// 2b. dialogue — fill this turn's missing slots from a prior same-intent
@@ -437,7 +466,7 @@ func (h *reactiveHandler) HandlePushToTalk(ctx context.Context, req voice.PushTo
// stands.
if dec.Clarify {
if question, asked := h.askClarify(dec); asked {
return h.reply(ctx, question, nil)
return h.reply(ctx, withNotice(expiredNotice, question), nil)
}
}
@@ -453,7 +482,7 @@ func (h *reactiveHandler) HandlePushToTalk(ctx context.Context, req voice.PushTo
// 5. tts — synthesise the reply text; return to the voice server which
// ships it back on the conn.
return h.reply(ctx, replyText, nil)
return h.reply(ctx, withNotice(expiredNotice, replyText), nil)
}
// handleText — the core reactive path without stt/tts: confirm check →
@@ -468,7 +497,9 @@ func (h *reactiveHandler) handleText(ctx context.Context, text string) string {
return reply
}
// 1b2. clarify answer — same check as HandlePushToTalk.
// 1b2/1b3. expired clarify then clarify answer — same order and reasons as
// HandlePushToTalk.
expiredNotice := h.clarifyExpiredNotice()
if reply, handled := h.resolveClarifyAnswer(ctx, text); handled {
return reply
}
@@ -477,10 +508,10 @@ func (h *reactiveHandler) handleText(ctx context.Context, text string) string {
dec, err := h.router.Route(ctx, text, h.now())
if err != nil {
if errors.Is(err, router.ErrNoIntents) {
return "я ещё не понимаю свободную речь — скоро научусь."
return withNotice(expiredNotice, "я ещё не понимаю свободную речь — скоро научусь.")
}
log.Printf("voice: handleText router error: %v", err)
return "не получилось разобрать команду."
return withNotice(expiredNotice, "не получилось разобрать команду.")
}
log.Printf("voice: route result: intent=%s slots=%+v", dec.Intent, dec.Slots)
@@ -497,7 +528,7 @@ func (h *reactiveHandler) handleText(ctx context.Context, text string) string {
// 2c. clarify — same as HandlePushToTalk: ask about the one missing thing.
if dec.Clarify {
if question, asked := h.askClarify(dec); asked {
return question
return withNotice(expiredNotice, question)
}
}
@@ -509,7 +540,7 @@ func (h *reactiveHandler) handleText(ctx context.Context, text string) string {
if replyText == "" {
replyText = h.replier.Reply(dec)
}
return replyText
return withNotice(expiredNotice, replyText)
}
// applyAction — executes the router's Decision. Intent-by-intent:
@@ -760,18 +791,23 @@ func (h *reactiveHandler) applyAction(ctx context.Context, dec router.Decision)
log.Printf("voice: query notes: %v", err)
return "не получилось найти ответ."
}
// Confidence gate: below threshold, say "I don't know" rather than read
// back the least-unrelated note — a confident wrong recall is worse than
// a gap (spec's "not a guesser-of-truth"). Same instinct as the loop's
// since(key)==null → don't fire. Tuned for the ONNX embedder; the Hash
// floor scores lexically and may rarely clear it.
if len(notes) == 0 || notes[0].Score < h.queryMinScore {
// Confidence gate: below it, say "I don't know" rather than read back
// the least-unrelated note — a confident wrong recall is worse than a
// gap (spec's "not a guesser-of-truth"). Same instinct as the loop's
// since(key)==null → don't fire. Two parts: an absolute cosine floor,
// and a margin over the runner-up, which is the part that works with
// the e5 embedder's narrow score band. See memory.Confident.
noteScores := make([]float64, len(notes))
for i, n := range notes {
noteScores[i] = n.Score
}
if !memory.ConfidentScores(noteScores, h.queryMinScore, h.queryMinMargin) {
// Long-term memory recall (notes + facts) before general knowledge:
// the notes table can't answer fact questions, but the memory store
// indexes both. Only runs when notes-RAG already gave up → additive.
if h.memStore != nil {
if hits, herr := h.memStore.Search(ctx, vec, 3); herr == nil {
if text, ok := bestRecall(hits, h.queryMinScore); ok {
if text, ok := bestRecall(hits, h.queryMinScore, h.queryMinMargin); ok {
return text
}
}
+4 -1
View File
@@ -40,7 +40,10 @@
"tokenizer_path": "/opt/maven/models/embedder/multilingual-e5-small/tokenizer.json",
"lib_path": "/opt/maven/lib/libonnxruntime.so"
},
"llm_router": false,
"llm_router": true,
"query_min_score": 0.55,
"query_min_margin": 0.008,
"clarify_max_attempts": 3,
"tool_timeout": "30s",
"tools": [
{ "name": "status", "cmd": ["systemctl", "status"], "scope": "homelab", "destructive": false },
+63 -11
View File
@@ -258,18 +258,25 @@ type VoiceConfig struct {
RouterThreshold float64 `json:"router_threshold,omitempty"`
// LLMRouter — route with the resident model instead of the embedding
// classifier. Measured on the held-out fixture (ROUTING-EVAL-31-07-2026.md)
// the model gets 50.0% of intents right against the classifier's 36.8%, but
// it costs about 800ms per turn instead of 30ms.
// classifier. On by default since Vikunja #320.
//
// TODO: the default stays false until this lands.
// Extractor.Extract never runs on an LLM decision, so acts arrive with no
// Fn and reminders with no Time. Turning this on today makes routing more
// accurate and less safe.
// Measured on the held-out fixture (ROUTING-EVAL-31-07-2026.md): 63.2% of
// intents right against the classifier's 50.0%, and no route errors. It
// costs about 1s per turn instead of 30ms.
//
// The router can now refuse: it answers "unknown" when it cannot route, and
// the turn drops to the classifier and its clarify gate (Vikunja #359).
LLMRouter bool `json:"llm_router,omitempty"`
// It is safe to leave on. The model can refuse it answers "unknown" when
// it cannot route, and the turn drops to the classifier and its clarify
// gate. Any LLM error does the same, so a turn never breaks on the model.
// Slot extraction runs on LLM decisions too, so acts get their Fn and
// reminders their Time.
//
// Set it false to go back to the classifier, e.g. on a box with no
// llama-server or when 1s a turn is too slow.
//
// It is a pointer so that "missing from the file" and "explicitly false"
// are different things: missing means on, false means off. Read it with
// UseLLMRouter(), not directly.
LLMRouter *bool `json:"llm_router,omitempty"`
// QueryMinScore — the note-recall confidence gate. Top cosine below this
// ⇒ "I don't know" instead of a guess. Tuned for the ONNX embedder (0.55);
@@ -277,6 +284,18 @@ type VoiceConfig struct {
// default if unset.
QueryMinScore float64 `json:"query_min_score,omitempty"`
// QueryMinMargin — the second half of the recall gate: the top hit must
// beat the runner-up by more than this. The absolute score above cannot do
// the job on its own, because the e5 embedder puts every cosine in one
// narrow high band, so a made-up question scores as high as a real one.
// The margin asks whether one note is clearly the best instead.
// Negative ⇒ off. 0 ⇒ the default below.
QueryMinMargin float64 `json:"query_min_margin,omitempty"`
// ClarifyMaxAttempts — how many clarifying questions she may ask about one
// request before she gives up and says she did not understand. Default 3.
ClarifyMaxAttempts int `json:"clarify_max_attempts,omitempty"`
// Persona — optional prompt prefix that tunes maven's character. Prepended
// to every LLM system prompt (nudge phrasing, note queries, general
// knowledge). Empty string ⇒ current hardcoded persona (feminine-gendered
@@ -404,7 +423,16 @@ const (
DefaultAutotuneInterval = 10 * time.Minute
DefaultRouterThreshold = 0.55
DefaultQueryMinScore = 0.55
DefaultToolTimeout = 30 * time.Second
// Read off the margin sweep in internal/memory/recalleval on the e5
// embedder: 0.008 answers 68% of real questions (down from 72%) and cuts
// false recall from 5/5 to 1/5. Every larger delta costs real recall
// without removing that last one until 0.020, which drops recall to 44%.
DefaultQueryMinMargin = 0.008
// DefaultClarifyMaxAttempts — see dialogue.DefaultMaxAttempts.
DefaultClarifyMaxAttempts = 3
DefaultToolTimeout = 30 * time.Second
// DefaultLLMRouter — route with the resident model unless told otherwise.
DefaultLLMRouter = true
DefaultFactEnrichmentInterval = 30 * time.Second
)
@@ -486,9 +514,24 @@ func (c *Config) applyDefaults() {
if c.Voice.QueryMinScore <= 0 {
c.Voice.QueryMinScore = DefaultQueryMinScore
}
// Unset ⇒ default. Negative is how you turn the margin off on purpose,
// so it is clamped to 0 rather than replaced by the default.
switch {
case c.Voice.QueryMinMargin == 0:
c.Voice.QueryMinMargin = DefaultQueryMinMargin
case c.Voice.QueryMinMargin < 0:
c.Voice.QueryMinMargin = 0
}
if c.Voice.ClarifyMaxAttempts <= 0 {
c.Voice.ClarifyMaxAttempts = DefaultClarifyMaxAttempts
}
if c.Voice.ToolTimeout <= 0 {
c.Voice.ToolTimeout = Duration(DefaultToolTimeout)
}
if c.Voice.LLMRouter == nil {
on := DefaultLLMRouter
c.Voice.LLMRouter = &on
}
}
// routines: default severity to care-class (1) — the safe floor: a
@@ -507,6 +550,15 @@ func (c *Config) applyDefaults() {
}
}
// UseLLMRouter reports whether to route with the resident model. Unset means
// on; only an explicit false in the config turns it off.
func (v *VoiceConfig) UseLLMRouter() bool {
if v == nil || v.LLMRouter == nil {
return DefaultLLMRouter
}
return *v.LLMRouter
}
func (c *Config) validate() error {
if c.Phraser != nil {
if c.Phraser.ModelPath == "" {
+16 -4
View File
@@ -171,14 +171,26 @@ func TestWeatherConfigNilOK(t *testing.T) {
}
}
func TestLLMRouterDefaultsOff(t *testing.T) {
func TestLLMRouterDefaultsOn(t *testing.T) {
p := writeConfig(t, `{"voice":{"enabled":true,"bind":"127.0.0.1:9100"}}`)
c, err := Load(p)
if err != nil {
t.Fatalf("Load: %v", err)
}
if c.Voice.LLMRouter {
t.Error("voice.llm_router absent should mean false")
if !c.Voice.UseLLMRouter() {
t.Error("voice.llm_router absent should mean on")
}
}
// Missing and explicitly false must not mean the same thing.
func TestLLMRouterExplicitFalseTurnsItOff(t *testing.T) {
p := writeConfig(t, `{"voice":{"enabled":true,"bind":"127.0.0.1:9100","llm_router":false}}`)
c, err := Load(p)
if err != nil {
t.Fatalf("Load: %v", err)
}
if c.Voice.UseLLMRouter() {
t.Error("voice.llm_router false should turn it off")
}
}
@@ -188,7 +200,7 @@ func TestLLMRouterRead(t *testing.T) {
if err != nil {
t.Fatalf("Load: %v", err)
}
if !c.Voice.LLMRouter {
if !c.Voice.UseLLMRouter() {
t.Error("voice.llm_router true was not read")
}
}
+53 -31
View File
@@ -17,10 +17,11 @@ const (
SlotText Slot = "text" // Slots.Text
)
// MaxAttempts is 1 because Maven is not a nag (DESIGN.md § Non-goals). She asks
// one clarifying question. If the answer still leaves the slot empty she drops
// the request instead of asking again.
const MaxAttempts = 1
// DefaultMaxAttempts — how many questions she may ask about one request.
// Three, because after three tries the likely problem is that she misheard the
// whole request, not one slot — so another question about that slot won't help.
// Configurable: voice.clarify_max_attempts.
const DefaultMaxAttempts = 3
// PendingQuestion is what Maven holds while she waits for an answer to an open
// question. Unlike the yes/no confirms in cmd/mavend/voice.go, the answer here
@@ -32,7 +33,17 @@ type PendingQuestion struct {
Utterance string // the user's original raw words
Asked time.Time
TTL time.Duration
Attempts int // questions already asked; capped by MaxAttempts
Attempts int // questions already asked
// MaxAttempts caps Attempts. 0 ⇒ DefaultMaxAttempts.
MaxAttempts int
}
// maxAttempts is MaxAttempts with the default filled in.
func (q *PendingQuestion) maxAttempts() int {
if q.MaxAttempts <= 0 {
return DefaultMaxAttempts
}
return q.MaxAttempts
}
func (q *PendingQuestion) IsExpired(now time.Time) bool {
@@ -41,12 +52,9 @@ func (q *PendingQuestion) IsExpired(now time.Time) bool {
// CanAsk reports whether Maven may ask another question about this request.
func (q *PendingQuestion) CanAsk() bool {
return q.Attempts < MaxAttempts
return q.Attempts < q.maxAttempts()
}
// TODO: the daemon will phrase the question text from Missing (one short ru
// question per Slot, feminine self-reference) and speak it here.
// ClarifyStore holds the parked questions. Same shape and locking as
// SessionStore: keyed by dialogue id, expired entries dropped on read.
type ClarifyStore struct {
@@ -67,8 +75,7 @@ func NewClarifyStore(defaultTTL time.Duration) *ClarifyStore {
}
}
// TODO: the daemon will Put a question here when Decision.Clarify fires, in
// place of the flat "не разобрала" reply (cmd/mavend/voice.go).
// Put parks a question. Called on a clarify decision (cmd/mavend/clarify.go).
func (s *ClarifyStore) Put(id string, q *PendingQuestion) {
if q.TTL <= 0 {
q.TTL = s.defaultTTL
@@ -78,8 +85,7 @@ func (s *ClarifyStore) Put(id string, q *PendingQuestion) {
s.mu.Unlock()
}
// TODO: the daemon will Get on the next turn, parse that turn into Slots, call
// Answer, and Delete — the open-question twin of resolveConfirm.
// Get returns the live parked question, or nil when there is none.
func (s *ClarifyStore) Get(id string, now time.Time) *PendingQuestion {
s.mu.RLock()
q, ok := s.questions[id]
@@ -94,6 +100,21 @@ func (s *ClarifyStore) Get(id string, now time.Time) *PendingQuestion {
return q
}
// TakeExpired reports whether a question was parked here but its TTL ran out,
// and drops it. Get drops such a question silently, which leaves the user
// thinking his request is still alive — the caller uses this to tell him it is
// gone before treating his words as a fresh utterance.
func (s *ClarifyStore) TakeExpired(id string, now time.Time) bool {
s.mu.Lock()
defer s.mu.Unlock()
q, ok := s.questions[id]
if !ok || !q.IsExpired(now) {
return false
}
delete(s.questions, id)
return true
}
func (s *ClarifyStore) Delete(id string) {
s.mu.Lock()
delete(s.questions, id)
@@ -101,44 +122,45 @@ func (s *ClarifyStore) Delete(id string) {
}
// Answer merges the slots parsed from the user's answer into the parked ones.
// Only the slots listed in Missing are filled, and an already filled slot is
// never overwritten — the answer completes the original request, it does not
// restate it. Parsing the answer text into `answer` is the caller's job; this
// package must stay free of internal/router.
// Only the slots listed in Missing are touched. Within those, a value the answer
// carries WINS over what was parked: she asked about this slot, so «нет, в пять»
// after «в три» must replace the time, not be thrown away.
//
// This is the clarify answer only. A correction in a fresh turn ("вообще-то
// перенеси на пять") is a different code path (followUpMerge) — not here.
//
// Parsing the answer text into `answer` is the caller's job; this package must
// stay free of internal/router.
func (q *PendingQuestion) Answer(text string, answer Slots) Slots {
out := q.Slots
for _, slot := range q.Missing {
switch slot {
case SlotTime:
if !out.HasTime && answer.HasTime {
if answer.HasTime {
out.Time = answer.Time
out.HasTime = true
}
case SlotKey:
if !out.HasKey && answer.HasKey {
if answer.HasKey {
out.Key = answer.Key
out.HasKey = true
}
case SlotValue:
if out.Value == "" && answer.Value != "" {
if answer.Value != "" {
out.Value = answer.Value
}
case SlotFn:
if !out.HasFn && answer.HasFn {
if answer.HasFn {
out.Fn = answer.Fn
out.HasFn = true
if len(out.Args) == 0 {
out.Args = append([]string(nil), answer.Args...)
}
out.Args = append([]string(nil), answer.Args...)
}
case SlotText:
if out.Text == "" {
if answer.Text != "" {
out.Text = answer.Text
} else {
// No parse for a text slot — the raw answer IS the text.
out.Text = text
}
if answer.Text != "" {
out.Text = answer.Text
} else if out.Text == "" {
// No parse for a text slot — the raw answer IS the text.
out.Text = text
}
}
}
+48 -26
View File
@@ -1,6 +1,7 @@
package dialogue
import (
"reflect"
"testing"
"time"
)
@@ -59,6 +60,28 @@ func TestClarifyStoreGetPutDelete(t *testing.T) {
}
}
// TestClarifyStoreTakeExpired — TakeExpired reports (and drops) only a question
// whose TTL ran out.
func TestClarifyStoreTakeExpired(t *testing.T) {
s := NewClarifyStore(time.Minute)
if s.TakeExpired("voice", base) {
t.Fatal("nothing parked ⇒ nothing expired")
}
s.Put("voice", &PendingQuestion{Missing: []Slot{SlotTime}, Asked: base, TTL: time.Minute})
if s.TakeExpired("voice", base.Add(30*time.Second)) {
t.Fatal("a live question must not report as expired")
}
if s.Get("voice", base.Add(30*time.Second)) == nil {
t.Fatal("a live question must survive TakeExpired")
}
if !s.TakeExpired("voice", base.Add(2*time.Minute)) {
t.Fatal("a stale question must report as expired")
}
if s.TakeExpired("voice", base.Add(2*time.Minute)) {
t.Fatal("TakeExpired must drop the question, so the second call is false")
}
}
func TestNewClarifyStoreDefaultTTL(t *testing.T) {
s := NewClarifyStore(0)
q := &PendingQuestion{Asked: base}
@@ -89,12 +112,13 @@ func TestAnswerFillsOnlyMissingSlots(t *testing.T) {
want: Slots{Text: "напомни позвонить", Time: answerTime, HasTime: true},
},
{
name: "does not overwrite a filled time",
// He restated it: «нет, в пять». The new value wins.
name: "a restated time overwrites the parked one",
parked: Slots{Time: other, HasTime: true},
missing: []Slot{SlotTime},
text: "в три",
text: "нет, в три",
answer: Slots{Time: answerTime, HasTime: true},
want: Slots{Time: other, HasTime: true},
want: Slots{Time: answerTime, HasTime: true},
},
{
name: "ignores slots that were not missing",
@@ -121,12 +145,12 @@ func TestAnswerFillsOnlyMissingSlots(t *testing.T) {
want: Slots{Fn: "restart", Args: []string{"nginx"}, HasFn: true},
},
{
name: "keeps existing args when fn was already known",
name: "a restated fn replaces the fn and its args",
parked: Slots{Fn: "restart", Args: []string{"nginx"}, HasFn: true},
missing: []Slot{SlotFn},
text: "останови postgres",
answer: Slots{Fn: "stop", Args: []string{"postgres"}, HasFn: true},
want: Slots{Fn: "restart", Args: []string{"nginx"}, HasFn: true},
want: Slots{Fn: "stop", Args: []string{"postgres"}, HasFn: true},
},
{
name: "raw answer becomes the text when nothing was parsed",
@@ -157,36 +181,34 @@ func TestAnswerFillsOnlyMissingSlots(t *testing.T) {
for _, tc := range cases {
t.Run(tc.name, func(t *testing.T) {
q := &PendingQuestion{Slots: tc.parked, Missing: tc.missing, Asked: base}
got := q.Answer(tc.text, tc.answer)
if got.Time != tc.want.Time || got.HasTime != tc.want.HasTime ||
got.Key != tc.want.Key || got.HasKey != tc.want.HasKey ||
got.Value != tc.want.Value || got.Text != tc.want.Text ||
got.Fn != tc.want.Fn || got.HasFn != tc.want.HasFn {
// Whole-struct compare: a new field in Slots is covered for free.
if got := q.Answer(tc.text, tc.answer); !reflect.DeepEqual(got, tc.want) {
t.Fatalf("Answer = %+v, want %+v", got, tc.want)
}
if len(got.Args) != len(tc.want.Args) {
t.Fatalf("Args = %v, want %v", got.Args, tc.want.Args)
}
for i := range got.Args {
if got.Args[i] != tc.want.Args[i] {
t.Fatalf("Args = %v, want %v", got.Args, tc.want.Args)
}
}
})
}
}
func TestCanAskCapsAtOneQuestion(t *testing.T) {
if MaxAttempts != 1 {
t.Fatalf("MaxAttempts = %d, want 1 (Maven asks once, she is not a nag)", MaxAttempts)
func TestCanAskAllowsThreeQuestionsByDefault(t *testing.T) {
if DefaultMaxAttempts != 3 {
t.Fatalf("DefaultMaxAttempts = %d, want 3", DefaultMaxAttempts)
}
q := &PendingQuestion{Asked: base}
if !q.CanAsk() {
t.Fatal("a fresh question should be askable")
q := &PendingQuestion{Asked: base} // MaxAttempts unset ⇒ the default
for i := 0; i < 3; i++ {
if !q.CanAsk() {
t.Fatalf("question %d should be allowed", i+1)
}
q.Attempts++
}
q.Attempts = MaxAttempts
if q.CanAsk() {
t.Fatal("the question should not be asked twice")
t.Fatal("a fourth question must not be allowed")
}
}
func TestCanAskHonoursConfiguredMax(t *testing.T) {
q := &PendingQuestion{Asked: base, MaxAttempts: 1, Attempts: 1}
if q.CanAsk() {
t.Fatal("MaxAttempts 1 means one question only")
}
}
+74
View File
@@ -1,8 +1,12 @@
package dialogue
import (
"context"
"encoding/json"
"sync"
"time"
"github.com/kami/maven/internal/store"
)
type Intent string
@@ -50,10 +54,22 @@ func (s *Session) IsExpired(now time.Time) bool {
return now.After(s.Timestamp.Add(s.TTL))
}
// SessionPersister — the bit of the store the session needs, as an interface
// so tests can swap it out. Data is an opaque blob: the store never looks
// inside, we encode the session as JSON here.
type SessionPersister interface {
SaveDialogueSession(ctx context.Context, id string, data []byte, ts time.Time, ttl time.Duration) error
DeleteDialogueSession(ctx context.Context, id string) error
LoadDialogueSessions(ctx context.Context, now time.Time) ([]store.DialogueSessionRow, error)
}
// SessionStore keeps the live sessions in a map (the fast path) and mirrors
// every write to the persister, so a daemon restart can load them back.
type SessionStore struct {
mu sync.RWMutex
sessions map[string]*Session
defaultTTL time.Duration
persist SessionPersister // may be nil: memory only (tests, no-store paths)
}
func NewSessionStore(defaultTTL time.Duration) *SessionStore {
@@ -66,6 +82,43 @@ func NewSessionStore(defaultTTL time.Duration) *SessionStore {
}
}
// NewPersistentSessionStore — same store, but writes also go to the DB.
// Call Load once after this to bring back sessions from a previous run.
func NewPersistentSessionStore(defaultTTL time.Duration, p SessionPersister) *SessionStore {
s := NewSessionStore(defaultTTL)
s.persist = p
return s
}
// Load — read the saved sessions back into memory. Anything past its TTL is
// dropped (and deleted from the DB by the store), never revived.
func (s *SessionStore) Load(ctx context.Context, now time.Time) error {
if s.persist == nil {
return nil
}
rows, err := s.persist.LoadDialogueSessions(ctx, now)
if err != nil {
return err
}
s.mu.Lock()
defer s.mu.Unlock()
for _, r := range rows {
var sess Session
if err := json.Unmarshal(r.Data, &sess); err != nil {
// A blob we can't read is not worth failing a startup over.
continue
}
if sess.TTL <= 0 {
sess.TTL = r.TTL
}
if sess.IsExpired(now) {
continue
}
s.sessions[r.ID] = &sess
}
return nil
}
func (s *SessionStore) Get(id string, now time.Time) *Session {
s.mu.RLock()
sess, ok := s.sessions[id]
@@ -87,12 +140,33 @@ func (s *SessionStore) Put(id string, sess *Session) {
s.mu.Lock()
s.sessions[id] = sess
s.mu.Unlock()
s.save(id, sess)
}
func (s *SessionStore) Delete(id string) {
s.mu.Lock()
delete(s.sessions, id)
s.mu.Unlock()
if s.persist != nil {
_ = s.persist.DeleteDialogueSession(context.Background(), id)
}
}
// save — mirror one session to the DB. Best effort: memory already has it, so
// a write error costs us the restart safety net, not the current turn.
func (s *SessionStore) save(id string, sess *Session) {
if s.persist == nil {
return
}
data, err := json.Marshal(sess)
if err != nil {
return
}
ts := sess.Timestamp
if ts.IsZero() {
ts = time.Now()
}
_ = s.persist.SaveDialogueSession(context.Background(), id, data, ts, sess.TTL)
}
func InheritSlots(prev, cur Slots) Slots {
+118
View File
@@ -0,0 +1,118 @@
package dialogue
import (
"context"
"path/filepath"
"testing"
"time"
"github.com/kami/maven/internal/store"
)
// openStore — a store on disk, so a second handle can reopen the same file.
func openStore(t *testing.T, path string) *store.Store {
t.Helper()
s, err := store.Open(context.Background(), path)
if err != nil {
t.Fatalf("open store: %v", err)
}
t.Cleanup(func() { _ = s.Close() })
return s
}
// A session written before a restart comes back and still merges a follow-up.
func TestSessionSurvivesRestart(t *testing.T) {
ctx := context.Background()
path := filepath.Join(t.TempDir(), "maven_test.db")
now := time.Now().UTC().Truncate(time.Millisecond)
first := openStore(t, path)
before := NewPersistentSessionStore(2*time.Minute, first)
before.Put("voice", &Session{
Intent: IntentReminder,
Slots: Slots{Text: "полить цветы", Time: now.Add(time.Hour), HasTime: true},
Timestamp: now,
TTL: 2 * time.Minute,
})
if err := first.Close(); err != nil {
t.Fatalf("close: %v", err)
}
// fresh handle, fresh in-memory map — as after a daemon restart
after := openStore(t, path)
reloaded := NewPersistentSessionStore(2*time.Minute, after)
if err := reloaded.Load(ctx, now.Add(10*time.Second)); err != nil {
t.Fatalf("Load: %v", err)
}
sess := reloaded.Get("voice", now.Add(10*time.Second))
if sess == nil {
t.Fatal("session did not survive the restart")
}
if sess.Intent != IntentReminder {
t.Fatalf("intent = %q, want reminder", sess.Intent)
}
// the follow-up carries no text of its own; it must inherit the old one
merged := InheritSlots(sess.Slots, Slots{Time: now.Add(2 * time.Hour), HasTime: true})
if merged.Text != "полить цветы" {
t.Fatalf("merged text = %q, want the earlier turn's text", merged.Text)
}
if !merged.Time.Equal(now.Add(2 * time.Hour)) {
t.Fatalf("merged time = %v, want the follow-up's time", merged.Time)
}
}
// A session past its TTL is dead: a restart must not bring it back.
func TestExpiredSessionNotResurrected(t *testing.T) {
ctx := context.Background()
path := filepath.Join(t.TempDir(), "maven_test.db")
now := time.Now().UTC().Truncate(time.Millisecond)
first := openStore(t, path)
before := NewPersistentSessionStore(2*time.Minute, first)
before.Put("voice", &Session{
Intent: IntentReminder,
Slots: Slots{Text: "полить цветы"},
Timestamp: now,
TTL: time.Minute,
})
if err := first.Close(); err != nil {
t.Fatalf("close: %v", err)
}
after := openStore(t, path)
reloaded := NewPersistentSessionStore(2*time.Minute, after)
later := now.Add(5 * time.Minute) // well past the 1-min TTL
if err := reloaded.Load(ctx, later); err != nil {
t.Fatalf("Load: %v", err)
}
if sess := reloaded.Get("voice", later); sess != nil {
t.Fatalf("expired session came back: %+v", sess)
}
// and it is gone from the DB too, not just from memory
rows, err := after.LoadDialogueSessions(ctx, later)
if err != nil {
t.Fatalf("LoadDialogueSessions: %v", err)
}
if len(rows) != 0 {
t.Fatalf("expired row still in the DB: %+v", rows)
}
}
// Delete removes the row as well, so an ended conversation stays ended.
func TestDeleteRemovesPersistedSession(t *testing.T) {
ctx := context.Background()
path := filepath.Join(t.TempDir(), "maven_test.db")
now := time.Now().UTC().Truncate(time.Millisecond)
s := openStore(t, path)
ss := NewPersistentSessionStore(2*time.Minute, s)
ss.Put("voice", &Session{Intent: IntentChat, Timestamp: now, TTL: time.Minute})
ss.Delete("voice")
rows, err := s.LoadDialogueSessions(ctx, now)
if err != nil {
t.Fatalf("LoadDialogueSessions: %v", err)
}
if len(rows) != 0 {
t.Fatalf("row survived Delete: %+v", rows)
}
}
+38
View File
@@ -0,0 +1,38 @@
package memory
// Confidence gate for a recall. Two checks, both must pass before Maven says a
// note back:
//
// - minScore — an absolute cosine floor.
// - minMargin — the top hit must beat the runner-up by more than this.
//
// The margin is the one that carries the weight. The e5 embedder packs every
// score into a narrow high band (0.79-0.89 on the recall fixture), so an
// absolute floor cannot tell a real hit from a confident-looking miss: every
// value under the band admits everything, every value above it answers nothing.
// A margin asks a different question — "is this note clearly the best one, or
// is the whole shelf equally close?" — and a made-up question has no clear best.
//
// With one hit and no runner-up there is nothing to compare, so only the floor
// applies.
// ConfidentScores reports whether the top score clears both gates. scores must
// be sorted highest first. minMargin <= 0 turns the margin check off.
func ConfidentScores(scores []float64, minScore, minMargin float64) bool {
if len(scores) == 0 || scores[0] < minScore {
return false
}
if minMargin > 0 && len(scores) > 1 && scores[0]-scores[1] <= minMargin {
return false
}
return true
}
// Confident is ConfidentScores for search results.
func Confident(results []Result, minScore, minMargin float64) bool {
scores := make([]float64, len(results))
for i, r := range results {
scores[i] = r.Score
}
return ConfidentScores(scores, minScore, minMargin)
}
+45
View File
@@ -0,0 +1,45 @@
package memory
import "testing"
func TestConfidentScores(t *testing.T) {
cases := []struct {
name string
scores []float64
minScore float64
minMargin float64
want bool
}{
{"no hits", nil, 0.55, 0.008, false},
{"below the floor", []float64{0.40, 0.10}, 0.55, 0.008, false},
{"clear winner", []float64{0.86, 0.70}, 0.55, 0.008, true},
{"runner-up too close", []float64{0.860, 0.858}, 0.55, 0.008, false},
// The rule is "beats the runner-up by MORE than delta". Not testing an
// exactly-equal margin: no pair of these decimals subtracts to exactly
// 0.008 in binary float, so such a test would pin rounding, not the rule.
{"margin just under delta", []float64{0.8079, 0.8}, 0.55, 0.008, false},
{"margin just over delta", []float64{0.8081, 0.8}, 0.55, 0.008, true},
// One hit: nothing to compare against, so only the floor applies.
{"single hit clears", []float64{0.86}, 0.55, 0.008, true},
{"single hit below floor", []float64{0.10}, 0.55, 0.008, false},
// Margin off — the old absolute-only behaviour.
{"margin off admits a tie", []float64{0.86, 0.86}, 0.55, 0, true},
}
for _, c := range cases {
t.Run(c.name, func(t *testing.T) {
if got := ConfidentScores(c.scores, c.minScore, c.minMargin); got != c.want {
t.Errorf("got %v, want %v", got, c.want)
}
})
}
}
func TestConfidentReadsResultScores(t *testing.T) {
res := []Result{{ID: "a", Score: 0.86}, {ID: "b", Score: 0.858}}
if Confident(res, 0.55, 0.008) {
t.Error("thin margin passed the gate")
}
if !Confident(res, 0.55, 0) {
t.Error("margin off should fall back to the floor alone")
}
}
+42 -19
View File
@@ -177,6 +177,8 @@ type Outcome struct {
Tied bool
TopID string
TopScor float64
// Margin — top1 top2. 0 when fewer than two hits came back.
Margin float64
Reasons []string
}
@@ -184,8 +186,10 @@ type Outcome struct {
// ranks first but is silenced by query_min_score is a threshold problem, and a
// note that never ranks first is an embedder problem. Those are different fixes.
type Report struct {
Name string
MinScore float64
Name string
MinScore float64
// MinMargin — how far the top hit must beat the runner-up. 0 ⇒ off.
MinMargin float64
Total int
Answerable int
Rank1 int
@@ -212,9 +216,14 @@ type Report struct {
// where the right note ranked first, and for the no-answer cases. The gap
// between these two distributions is what a defensible query_min_score
// would have to sit inside; if they overlap, no threshold separates them.
CorrectTop []float64
NoAnswerTop []float64
P50, P95, Max time.Duration
CorrectTop []float64
NoAnswerTop []float64
// CorrectMargin / NoAnswerMargin — the same two groups, but top1 top2
// instead of top1. This is the pair the margin gate has to separate, and
// unlike the absolute scores it is what the sweep reads.
CorrectMargin []float64
NoAnswerMargin []float64
P50, P95, Max time.Duration
}
// TagStat — passed/total for one slice of the fixture.
@@ -245,13 +254,14 @@ func ratio(n, d int) float64 {
// the run on an embed or search error: an erroring case scores as a miss and is
// counted in Errors, because "the embedder was down" and "the embedder was
// wrong" are different numbers.
func Score(ctx context.Context, name string, emb router.Embedder, newStore NewStore, minScore float64, f Fixture) (Report, error) {
func Score(ctx context.Context, name string, emb router.Embedder, newStore NewStore, minScore, minMargin float64, f Fixture) (Report, error) {
rep := Report{
Name: name,
MinScore: minScore,
Total: len(f.Cases),
ByTag: map[string]TagStat{},
ByLang: map[string]TagStat{},
Name: name,
MinScore: minScore,
MinMargin: minMargin,
Total: len(f.Cases),
ByTag: map[string]TagStat{},
ByLang: map[string]TagStat{},
}
lat := make([]time.Duration, 0, len(f.Cases))
@@ -261,7 +271,7 @@ func Score(ctx context.Context, name string, emb router.Embedder, newStore NewSt
} else {
rep.NoAnswer++
}
o, err := scoreCase(ctx, emb, newStore, minScore, c, f.Filler)
o, err := scoreCase(ctx, emb, newStore, minScore, minMargin, c, f.Filler)
if err != nil {
return Report{}, err
}
@@ -285,6 +295,11 @@ func Score(ctx context.Context, name string, emb router.Embedder, newStore NewSt
} else if !o.Rank1 {
rep.WrongTop++
}
if o.Rank1 {
// Margins are collected on rank, not on the gate, so the
// distribution does not move as the sweep changes the gate.
rep.CorrectMargin = append(rep.CorrectMargin, o.Margin)
}
if o.Rank1 && o.Recalled != "" {
rep.CorrectTop = append(rep.CorrectTop, o.TopScor)
}
@@ -293,6 +308,7 @@ func Score(ctx context.Context, name string, emb router.Embedder, newStore NewSt
rep.FalseRecall++
}
rep.NoAnswerTop = append(rep.NoAnswerTop, o.TopScor)
rep.NoAnswerMargin = append(rep.NoAnswerMargin, o.Margin)
}
if o.Pass {
@@ -307,6 +323,8 @@ func Score(ctx context.Context, name string, emb router.Embedder, newStore NewSt
sort.Float64s(rep.CorrectTop)
sort.Float64s(rep.NoAnswerTop)
sort.Float64s(rep.CorrectMargin)
sort.Float64s(rep.NoAnswerMargin)
sort.Slice(lat, func(i, j int) bool { return lat[i] < lat[j] })
rep.P50, rep.P95 = percentile(lat, 0.50), percentile(lat, 0.95)
if len(lat) > 0 {
@@ -318,7 +336,7 @@ func Score(ctx context.Context, name string, emb router.Embedder, newStore NewSt
// scoreCase inserts the case's notes into a fresh store, then runs the read
// path the daemon runs. The returned error is fatal (the harness is broken);
// an embedder or store failure on the query lands in Outcome.Err instead.
func scoreCase(ctx context.Context, emb router.Embedder, newStore NewStore, minScore float64, c Case, filler []StoredNote) (Outcome, error) {
func scoreCase(ctx context.Context, emb router.Embedder, newStore NewStore, minScore, minMargin float64, c Case, filler []StoredNote) (Outcome, error) {
st, release, err := newStore()
if err != nil {
return Outcome{}, fmt.Errorf("%s: new store: %w", c.ID, err)
@@ -357,7 +375,10 @@ func scoreCase(ctx context.Context, emb router.Embedder, newStore NewStore, minS
if len(hits) > 0 {
o.TopID, o.TopScor = hits[0].ID, hits[0].Score
o.Recalled = bestRecall(hits, minScore)
if len(hits) > 1 {
o.Margin = hits[0].Score - hits[1].Score
}
o.Recalled = bestRecall(hits, minScore, minMargin)
}
for i, h := range hits {
if h.ID != c.Want {
@@ -378,14 +399,14 @@ func scoreCase(ctx context.Context, emb router.Embedder, newStore NewStore, minS
switch {
case !c.Answerable():
if o.Recalled != "" {
o.Reasons = append(o.Reasons, fmt.Sprintf("false recall: %q at %.3f, want silence", o.TopID, o.TopScor))
o.Reasons = append(o.Reasons, fmt.Sprintf("false recall: %q at %.3f (margin %.3f), want silence", o.TopID, o.TopScor, o.Margin))
}
case o.Tied:
o.Reasons = append(o.Reasons, fmt.Sprintf("tie at %.3f — the right note is on top only by sort order", o.TopScor))
case !o.Rank1:
o.Reasons = append(o.Reasons, fmt.Sprintf("top hit %q (%.3f), want %q%s", o.TopID, o.TopScor, c.Want, rankNote(o.Rank3)))
case o.Recalled == "":
o.Reasons = append(o.Reasons, fmt.Sprintf("right note ranked first but scored %.3f < gate %.2f — daemon says \"не знаю\"", o.TopScor, minScore))
o.Reasons = append(o.Reasons, fmt.Sprintf("right note ranked first at %.3f (margin %.3f) but the gate silenced it — daemon says \"не знаю\"", o.TopScor, o.Margin))
}
o.Pass = len(o.Reasons) == 0
return o, nil
@@ -401,8 +422,8 @@ func rankNote(inTop3 bool) string {
// bestRecall mirrors cmd/mavend/recall.go — the gate the daemon actually
// applies to a memory hit. Duplicated rather than imported because package main
// is not importable; recalleval_test.go asserts the two agree in behaviour.
func bestRecall(results []memory.Result, min float64) string {
if len(results) == 0 || results[0].Score < min {
func bestRecall(results []memory.Result, minScore, minMargin float64) string {
if !memory.Confident(results, minScore, minMargin) {
return ""
}
return results[0].Meta["text"]
@@ -437,7 +458,7 @@ func percentile(sorted []time.Duration, p float64) time.Duration {
// the slices that name where the path is weak.
func (r Report) String() string {
var b strings.Builder
fmt.Fprintf(&b, "%s: %d/%d cases pass (gate %.2f)\n", r.Name, r.Passed, r.Total, r.MinScore)
fmt.Fprintf(&b, "%s: %d/%d cases pass (gate %.2f, margin %.3f)\n", r.Name, r.Passed, r.Total, r.MinScore, r.MinMargin)
fmt.Fprintf(&b, " recall@1 %.1f%% (%d/%d) recall@3 %.1f%% (%d/%d) answered after gate %.1f%% (%d/%d)\n",
100*r.Recall1(), r.Rank1, r.Answerable,
100*r.Recall3(), r.Rank3, r.Answerable,
@@ -448,6 +469,8 @@ func (r Report) String() string {
100*r.FalseRecallRate(), r.FalseRecall, r.NoAnswer)
fmt.Fprintf(&b, " top-1 score, right note first: %s\n", spread(r.CorrectTop))
fmt.Fprintf(&b, " top-1 score, must be silent: %s\n", spread(r.NoAnswerTop))
fmt.Fprintf(&b, " margin top1-top2, right note first: %s\n", spread(r.CorrectMargin))
fmt.Fprintf(&b, " margin top1-top2, must be silent: %s\n", spread(r.NoAnswerMargin))
fmt.Fprintf(&b, " latency: p50 %s p95 %s max %s\n", r.P50, r.P95, r.Max)
fmt.Fprintf(&b, " by lang: %s\n", renderStats(r.ByLang))
fmt.Fprintf(&b, " by tag: %s\n", renderStats(r.ByTag))
+50 -11
View File
@@ -142,21 +142,40 @@ func words(s string) []string {
// cmd/mavend/recall.go (package main is not importable). This pins the copy to
// the original's three rules: no hits, below the gate, or no text ⇒ silence.
func TestBestRecallMatchesDaemon(t *testing.T) {
if got := bestRecall(nil, 0.55); got != "" {
if got := bestRecall(nil, 0.55, 0); got != "" {
t.Errorf("no hits: got %q, want silence", got)
}
low := []memory.Result{{ID: "a", Score: 0.4, Meta: map[string]string{"text": "чай"}}}
if got := bestRecall(low, 0.55); got != "" {
if got := bestRecall(low, 0.55, 0); got != "" {
t.Errorf("below gate: got %q, want silence", got)
}
noText := []memory.Result{{ID: "a", Score: 0.9, Meta: map[string]string{}}}
if got := bestRecall(noText, 0.55); got != "" {
if got := bestRecall(noText, 0.55, 0); got != "" {
t.Errorf("no text: got %q, want silence", got)
}
ok := []memory.Result{{ID: "a", Score: 0.9, Meta: map[string]string{"text": "чай"}}}
if got := bestRecall(ok, 0.55); got != "чай" {
if got := bestRecall(ok, 0.55, 0); got != "чай" {
t.Errorf("above gate: got %q, want %q", got, "чай")
}
// Margin: a close runner-up means the embedder cannot tell the two apart,
// so Maven stays silent even though both clear the absolute floor.
close := []memory.Result{
{ID: "a", Score: 0.86, Meta: map[string]string{"text": "чай"}},
{ID: "b", Score: 0.85, Meta: map[string]string{"text": "кофе"}},
}
if got := bestRecall(close, 0.55, 0.03); got != "" {
t.Errorf("thin margin: got %q, want silence", got)
}
if got := bestRecall(close, 0.55, 0); got != "чай" {
t.Errorf("margin off: got %q, want %q", got, "чай")
}
clear := []memory.Result{
{ID: "a", Score: 0.86, Meta: map[string]string{"text": "чай"}},
{ID: "b", Score: 0.70, Meta: map[string]string{"text": "кофе"}},
}
if got := bestRecall(clear, 0.55, 0.03); got != "чай" {
t.Errorf("wide margin: got %q, want %q", got, "чай")
}
}
// TestHashRecallBaseline — the CI ratchet. HashEmbedder, so it needs no model
@@ -171,7 +190,7 @@ func TestHashRecallBaseline(t *testing.T) {
t.Fatalf("Load: %v", err)
}
rep, err := Score(context.Background(), "recall+hash", router.NewHashEmbedder(hashDim), InMemory,
config.DefaultQueryMinScore, f)
config.DefaultQueryMinScore, config.DefaultQueryMinMargin, f)
if err != nil {
t.Fatalf("Score: %v", err)
}
@@ -201,11 +220,11 @@ func TestPersistentStoreScoresTheSame(t *testing.T) {
t.Fatalf("Load: %v", err)
}
emb := router.NewHashEmbedder(hashDim)
inMem, err := Score(context.Background(), "recall+hash+memory", emb, InMemory, config.DefaultQueryMinScore, f)
inMem, err := Score(context.Background(), "recall+hash+memory", emb, InMemory, config.DefaultQueryMinScore, config.DefaultQueryMinMargin, f)
if err != nil {
t.Fatalf("Score in-memory: %v", err)
}
persistent, err := Score(context.Background(), "recall+hash+sqlite", emb, sqliteStores(t), config.DefaultQueryMinScore, f)
persistent, err := Score(context.Background(), "recall+hash+sqlite", emb, sqliteStores(t), config.DefaultQueryMinScore, config.DefaultQueryMinMargin, f)
if err != nil {
t.Fatalf("Score sqlite: %v", err)
}
@@ -263,14 +282,16 @@ func TestONNXRecall(t *testing.T) {
if err != nil {
t.Fatalf("Load: %v", err)
}
rep, err := Score(context.Background(), "recall+onnx", emb, InMemory, config.DefaultQueryMinScore, f)
rep, err := Score(context.Background(), "recall+onnx", emb, InMemory, config.DefaultQueryMinScore, config.DefaultQueryMinMargin, f)
if err != nil {
t.Fatalf("Score: %v", err)
}
t.Log("\n" + rep.String() + rep.Failures())
// Cached for the sweep only: the headline run above must pay the real
// Cached for the sweeps only: the headline run above must pay the real
// embedder cost so its latency numbers mean something.
t.Log("\ngate sweep:\n" + sweep(t, Cache(emb), f))
cached := Cache(emb)
t.Log("\ngate sweep (margin off):\n" + sweep(t, cached, f))
t.Log("\nmargin sweep (gate 0.55):\n" + marginSweep(t, cached, f))
}
// sweep scores the fixture at a range of gates and renders one line each. Two
@@ -281,7 +302,7 @@ func sweep(t *testing.T, emb router.Embedder, f Fixture) string {
t.Helper()
var b strings.Builder
for _, gate := range []float64{0.0, 0.30, 0.40, 0.50, 0.55, 0.60, 0.70, 0.80, 0.90} {
rep, err := Score(context.Background(), "sweep", emb, InMemory, gate, f)
rep, err := Score(context.Background(), "sweep", emb, InMemory, gate, 0, f)
if err != nil {
t.Fatalf("sweep at %.2f: %v", gate, err)
}
@@ -290,3 +311,21 @@ func sweep(t *testing.T, emb router.Embedder, f Fixture) string {
}
return b.String()
}
// marginSweep is the same idea for the margin gate (top1 top2 > delta), with
// the absolute gate held at its default. The absolute score cannot separate a
// real hit from a made-up question under e5 — every score lands in one narrow
// band — so this sweep is the one that picks a number.
func marginSweep(t *testing.T, emb router.Embedder, f Fixture) string {
t.Helper()
var b strings.Builder
for _, d := range []float64{0, 0.002, 0.005, 0.008, 0.01, 0.012, 0.015, 0.02, 0.025, 0.03, 0.04, 0.05, 0.06} {
rep, err := Score(context.Background(), "margin sweep", emb, InMemory, config.DefaultQueryMinScore, d, f)
if err != nil {
t.Fatalf("margin sweep at %.3f: %v", d, err)
}
fmt.Fprintf(&b, " delta %.3f: answered %d/%d (%.0f%%) false recall %d/%d\n",
d, rep.Rank1-rep.Gated, rep.Answerable, 100*rep.Answered(), rep.FalseRecall, rep.NoAnswer)
}
return b.String()
}
+127 -1
View File
@@ -17,10 +17,14 @@ const (
CheckFeminine = "feminine" // her self-reference is feminine (hard constraint)
CheckCringe = "cringe" // DESIGN.md § Non-goals, "not a relationship"
CheckOnTopic = "ontopic" // says the thing the rule is about
// CheckHisGender — the other half of the persona rule: SHE is feminine, HE
// is male. "ты давно не отдыхала" addresses the operator as a woman.
CheckHisGender = "hisgender"
)
// CheckNames — report order.
var CheckNames = []string{CheckMood, CheckLang, CheckLength, CheckFeminine, CheckCringe, CheckOnTopic}
var CheckNames = []string{CheckMood, CheckLang, CheckLength, CheckFeminine, CheckHisGender, CheckCringe, CheckOnTopic}
// Result — one check on one message.
type Result struct {
@@ -52,6 +56,7 @@ func RunChecks(c Case, body, mood string) []Result {
checkLang(body),
checkLength(body),
checkFeminine(body),
checkHisGender(body),
checkCringe(body),
checkOnTopic(c, body),
}
@@ -176,6 +181,127 @@ func checkFeminine(body string) Result {
return Result{CheckFeminine, true, ""}
}
// --- he is male ----------------------------------------------------------
//
// The mirror of checkFeminine, and the failure it was written for: the model
// wrote "ты давно не отдыхала", which addresses the operator as a woman. That
// scored clean, because checkFeminine only ever looks at how SHE speaks about
// herself.
//
// How it works: Russian past tense is gendered by suffix, -л (m) / -ла (f). So
// this looks for feminine past-tense words in a sentence that also talks TO him
// ("ты", "тебя", "тебе", "твой", …). A feminine verb that belongs to her ("я
// заметила", "напомнила тебе") is skipped — that one is correct.
//
// Honest about the limits: this is a suffix rule, not a parser.
// - False positives: a feminine noun can be the subject in the same sentence
// ("зарядка была утром, ты её пропустил"). The guard below skips a verb whose
// previous word looks like a feminine noun, which helps but will not always
// be right.
// - False negatives: gender also shows up outside the past tense (short
// adjectives, "сама"), and none of that is checked here.
//
// That is acceptable for an eval check. It is a signal to read the message, not
// a grammar verdict, and every hit prints the word it tripped on so a human can
// disagree.
// hisMarkers — words that mean the sentence is addressed to him.
var hisMarkers = map[string]bool{
"ты": true, "тебя": true, "тебе": true, "тобой": true, "тобою": true,
"твой": true, "твоя": true, "твоё": true, "твое": true, "твои": true, "твою": true,
}
// notFeminineVerb — ordinary words ending in "-ла" that are not verbs. Small on
// purpose: it only has to cover words a nudge might actually use.
//
// Words that are both a noun and a verb are deliberately NOT here. "села",
// "мыла" and "стекла" are nouns on paper, but in a nudge they are almost always
// verbs ("ты села", "ты мыла"), and listing them would make the check miss the
// exact thing it is for. Missing a real hit is worse than one false alarm.
var notFeminineVerb = map[string]bool{
"школа": true, "скала": true, "игла": true, "метла": true, "смола": true,
"дела": true, "тела": true, "масла": true, "весла": true,
"зола": true, "пчела": true, "числа": true,
}
// femininePast reports whether a word looks like a feminine past-tense verb:
// "отдыхала", "поела", "выспалась".
func femininePast(w string) bool {
if len([]rune(w)) < 3 || notFeminineVerb[w] {
return false
}
return strings.HasSuffix(w, "ла") || strings.HasSuffix(w, "лась")
}
// looksFeminineNoun — a crude guard against "зарядка была": a word right before
// the verb that ends in "а"/"я" and is not itself a verb is probably the subject.
func looksFeminineNoun(w string) bool {
if femininePast(w) || len([]rune(w)) < 3 {
return false
}
return strings.HasSuffix(w, "а") || strings.HasSuffix(w, "я")
}
// sentenceRE splits on sentence-ending punctuation, so a feminine verb in one
// sentence is not blamed on a "ты" in the next.
var sentenceRE = regexp.MustCompile(`[.!?;…]+`)
func checkHisGender(body string) Result {
for _, sentence := range sentenceRE.Split(strings.ToLower(body), -1) {
words := wordRE.FindAllString(sentence, -1)
addressed := false
for _, w := range words {
if hisMarkers[w] {
addressed = true
}
}
if !addressed {
continue
}
for i, w := range words {
if !femininePast(w) || hersNotHis(words, i) {
continue
}
if i > 0 && looksFeminineNoun(prevWord(words, i)) {
continue
}
return Result{CheckHisGender, false,
fmt.Sprintf("feminine %q addressed to him — he is male", w)}
}
}
return Result{CheckHisGender, true, ""}
}
// hersNotHis — the verb is Maven's own if "я" comes shortly before it, or if the
// thing she did was done to him ("напомнила тебе", "проверила за тебя").
func hersNotHis(words []string, i int) bool {
for j := i - 1; j >= 0 && j >= i-3; j-- {
if words[j] == "я" {
return true
}
}
if i+1 < len(words) {
switch words[i+1] {
case "тебе", "тебя", "за", "тобой":
return true
}
}
return false
}
// prevWord — the word before i, skipping "не" and punctuation, so "не отдыхала"
// still sees the subject.
func prevWord(words []string, i int) string {
for j := i - 1; j >= 0; j-- {
w := words[j]
if w == "не" || w == "ни" || !unicode.Is(unicode.Cyrillic, []rune(w)[0]) {
continue
}
return w
}
return ""
}
// --- the cringe checks ---------------------------------------------------
//
// "Think Jarvis without the cringe part". DESIGN.md § Non-goals: "Not a
+1 -1
View File
@@ -281,7 +281,7 @@ func (r Report) String() string {
fmt.Fprintf(&b, "%s: %d/%d cases pass every check (%.1f%%), %d errors\n",
r.Name, r.Passed, r.Total, 100*r.Accuracy(), r.Errors)
for _, name := range CheckNames {
fmt.Fprintf(&b, " %-9s %d/%d\n", name, r.ByCheck[name], r.Total)
fmt.Fprintf(&b, " %-10s %d/%d\n", name, r.ByCheck[name], r.Total)
}
fmt.Fprintf(&b, " latency: p50 %s p95 %s max %s\n", r.P50, r.P95, r.Max)
fmt.Fprintf(&b, " by rule: %s\n", renderStats(r.ByRule))
+13 -4
View File
@@ -72,10 +72,11 @@ func TestStubBaseline(t *testing.T) {
// ceiling ("you've been at your desk for 4 hours without a break — step
// away for a bit." is 76 chars but 16 words). Left failing rather than
// raising the ceiling to hide it.
CheckLength: 12,
CheckFeminine: 15,
CheckCringe: 15,
CheckOnTopic: 12,
CheckLength: 12,
CheckFeminine: 15,
CheckHisGender: 15,
CheckCringe: 15,
CheckOnTopic: 12,
}
for name, floor := range floors {
if rep.ByCheck[name] < floor {
@@ -104,6 +105,14 @@ func TestChecksCatchWhatTheyClaim(t *testing.T) {
{"masculine predicative", "я должен сказать: попей воды.", CheckFeminine},
// The other direction: HE is male, so second-person masculine is right.
{"second person masculine ok", "ты не пил воду четыре часа.", ""},
// The real observed failure: she addressed him as a woman.
{"feminine second person", "ты давно не отдыхала — попей воды.", CheckHisGender},
{"feminine second person no dash", "ты пила воду четыре часа назад.", CheckHisGender},
// Her own feminine verb next to "ты" is correct and must not be flagged.
{"her feminine verb near ты", "я заметила, что ты не пил воду.", ""},
{"her feminine verb about him", "напомнила тебе про воду.", ""},
// A feminine noun subject in the same sentence is not him.
{"feminine noun subject ok", "зарядка была утром, ты её пропустил, попей воды.", ""},
{"feminine self ok", "я заметила: воды не было четыре часа.", ""},
{"pet name", "милый, попей воды.", CheckCringe},
{"emoji", "попей воды 💧", CheckCringe},
+136 -13
View File
@@ -184,7 +184,10 @@ func (p *LLMPhraser) PhraseNudge(ctx context.Context, c loop.Candidate) (deliver
body, _ = parsePhrase(resp)
}
if body == "" {
body = fmt.Sprintf("%s — %s", c.Rule.Name, sevLabel(c.Severity))
// The model said nothing usable. Say it in Russian anyway — this text
// goes straight to a Russian piper voice, so the old "water — care"
// fallback was unspeakable.
body = fallbackNudge(c)
}
if mood == "" {
mood = "neutral"
@@ -428,8 +431,33 @@ func (p *LLMPhraser) chatWithSystem(ctx context.Context, system, user string, ma
return stripThink(content), nil
}
// nudgeSystem — the phrasing contract for nudges.
//
// Written as filled-in examples, not as a schema with "..." in it. A 0.8B
// copies whatever sits in the response slot, so a literal placeholder there
// teaches it to answer with the placeholder. Measured: 7/15 nudges came back
// as "..." before this. See PHRASING-EVAL-31-07-2026.md.
//
// Russian only, feminine self-reference, second person masculine (the owner is
// a man). One short sentence — the nudge is spoken aloud.
const nudgeSystem = `Ты Maven, домашняя ассистентка. О себе говоришь в женском роде ("я проверила", "я записала"). Владелец мужчина, обращайся к нему в мужском роде ("ты пил", "ты забыл").
Пиши ОДНО короткое напоминание по-русски: не больше 120 символов и не больше 16 слов. Только по делу.
Запрещено: обращения ("дорогой", "милый"), эмодзи, извинения ("прости", "извини"), вопросы о самочувствии, похвала, больше одного восклицательного знака, английские слова кроме имён сервисов.
Отвечай ТОЛЬКО одним объектом JSON с полями "response" и "mood".
"response" сам текст напоминания.
"mood" ровно одно из: neutral, happy, thinking, tired, confused.
Так выглядит правильный ответ по форме. Темы здесь посторонние их в запросе не будет:
{"response": "Стиральная машина закончила. Развесь бельё.", "mood": "neutral"}
{"response": "Ноутбук на трёх процентах. Я поставила его на зарядку.", "mood": "confused"}
Это примеры ФОРМЫ, а не темы. Пиши только про ту ситуацию, которую тебе дали в запросе. Не копируй примеры и никогда не пиши "..." в поле response.`
func (p *LLMPhraser) systemPrompt() string {
base := `You are maven, a self-hosted personal assistant. Generate brief, natural nudge messages in the user's language (Russian or English). Respond ONLY with valid JSON: {"response": "full voice message", "mood": "neutral"}. "response" is what the user hears; "mood" reflects maven's tone (neutral/happy/thinking/tired/confused).`
base := nudgeSystem
if p.cfg.Persona != "" {
base = p.cfg.Persona + "\n\n" + base
}
@@ -446,22 +474,117 @@ func (p *LLMPhraser) querySystemPrompt() string {
return base
}
// ruleTopics — Russian gloss for each built-in rule name. The rule names are
// English identifiers; a 0.8B asked to nudge about "netdata_critical" writes
// about nothing. The daemon knows what its own rules mean, so it says so.
var ruleTopics = map[string]string{
"water": "он давно не пил воду",
"meal": "он давно не ел",
"break": "он давно без перерыва, пора встать и размяться",
"service_down": "сервис не отвечает, лежит",
"netdata_critical": "критический алярм в netdata, проблема с диском или местом",
}
// ruleKeywords — the word the message must contain. The 0.8B drifts to
// whatever topic it saw last unless the required word is named outright.
var ruleKeywords = map[string]string{
"water": "воду",
"meal": "поешь",
"break": "перерыв",
"service_down": "сервис",
"netdata_critical": "диск",
}
// ruleTopic turns a rule name into a Russian description of the situation.
// "routine:зарядка" and "morning:утро" carry their own Russian suffix.
func ruleTopic(rule string) string {
if t, ok := ruleTopics[rule]; ok {
return t
}
if i := strings.IndexByte(rule, ':'); i > 0 && i+1 < len(rule) {
switch rule[:i] {
case "morning":
return "утро, пора начать день: " + rule[i+1:]
default:
return "пора сделать по распорядку: " + rule[i+1:]
}
}
return rule
}
// ruleKeyword — the word the nudge must contain, or "" when the rule name's
// own Russian suffix already is that word.
func ruleKeyword(rule string) string {
if k, ok := ruleKeywords[rule]; ok {
return k
}
if i := strings.IndexByte(rule, ':'); i > 0 && i+1 < len(rule) {
return rule[i+1:]
}
return ""
}
// ruDur — duration in Russian. humanDur is English and its output was landing
// verbatim in the message.
func ruDur(d time.Duration) string {
if d < 0 {
d = 0
}
h, m := int(d.Hours()), int(d.Minutes())%60
switch {
case h >= 2:
return fmt.Sprintf("%d ч", h)
case h == 1 && m >= 30:
return "полтора часа"
case h == 1:
return "час"
default:
return fmt.Sprintf("%d мин", m)
}
}
// fallbackNudge — plain Russian for when the model returns nothing parseable.
var fallbackNudges = map[string]string{
"water": "Ты давно не пил воду.",
"meal": "Ты давно не ел, поешь.",
"break": "Пора сделать перерыв.",
"service_down": "Сервис не отвечает.",
"netdata_critical": "Критический алярм: проверь диск.",
}
func fallbackNudge(c loop.Candidate) string {
if s, ok := fallbackNudges[c.Rule.Name]; ok {
return s
}
if kw := ruleKeyword(c.Rule.Name); kw != "" {
return "Напоминаю: " + kw + "."
}
return "Напоминаю о деле."
}
func buildNudgePrompt(c loop.Candidate) string {
var ctxParts []string
ctxParts = append(ctxParts, fmt.Sprintf("Rule: %s", c.Rule.Name))
ctxParts = append(ctxParts, fmt.Sprintf("Severity: %s", sevLabel(c.Severity)))
ctxParts = append(ctxParts, "Ситуация: "+ruleTopic(c.Rule.Name))
if f, ok := c.State.Facts[c.Rule.Name]; ok && f.Key != "" && f.Key != c.Rule.Name {
ctxParts = append(ctxParts, "Что именно: "+f.Key)
}
if d, ok := c.State.Since(c.Rule.Name); ok {
ctxParts = append(ctxParts, fmt.Sprintf("Duration since last event: %s", humanDur(d)))
ctxParts = append(ctxParts, "Прошло: "+ruDur(d))
}
switch sevLabel(c.Severity) {
case "alarm":
ctxParts = append(ctxParts, "Срочно, скажи прямо.")
case "ops":
ctxParts = append(ctxParts, "Это про сервер, не про здоровье.")
}
tail := "Напиши напоминание про эту ситуацию. Одно предложение, по-русски, в JSON."
if kw := ruleKeyword(c.Rule.Name); kw != "" {
// Last line on purpose: a 0.8B weights the end of the prompt hardest,
// and without the required word it drifts back to the examples.
tail += " Ответ ДОЛЖЕН содержать слово «" + kw + "»."
}
return fmt.Sprintf(
`Generate a nudge message. Context:
%s
Respond as JSON: {"response": "...", "mood": "..."}`,
strings.Join(ctxParts, "\n"),
)
return strings.Join(ctxParts, "\n") + "\n\n" + tail
}
type responseMood struct {
+14 -96
View File
@@ -1,11 +1,8 @@
package eval
import (
"bytes"
"context"
"encoding/json"
"fmt"
"net/http"
"os"
"strings"
"testing"
@@ -29,13 +26,20 @@ import (
// a bake-off across checkpoints (#278, #250) produces tables you can tell
// apart. Point the variable at one server at a time.
//
// Three configurations, because "the LLM router" is ambiguous and the three
// numbers answer different questions:
// Two configurations, because "the LLM router" is ambiguous and the two numbers
// answer different questions:
//
// llm-only — the model alone. Measures the prompt + grammar contract.
// cascade+llm — what #320 would actually ship: stage-0 grammar, then the
// model, then the classifier as the failure floor.
// llm-no-thinking — diagnostic only, not a shippable path (see below).
// llm-only — the model alone. Measures the prompt + grammar contract.
// cascade+llm — what #320 would actually ship: stage-0 grammar, then the
// model, then the classifier as the failure floor.
//
// There used to be a third, "thinking off", which looked 6 points better. It is
// gone: it was measured with a hand-rolled HTTP client that quietly dropped
// repeat_penalty, so the gap was the missing penalty and not the thinking mode.
// Re-measured with everything else held equal, thinking off scores exactly the
// same, case for case — and a direct probe shows this llama-server build ignores
// enable_thinking / reasoning_budget for this model anyway, so there was nothing
// to turn off. Full write-up in ROUTING-EVAL-31-07-2026.md (Vikunja #376).
func TestLLMRouterBaseline(t *testing.T) {
base := os.Getenv("MAVEN_LLM_URL")
if base == "" {
@@ -96,104 +100,18 @@ func TestLLMRouterBaseline(t *testing.T) {
}
t.Log("\n" + repCascade.String() + repCascade.Failures())
// llm-no-thinking: same prompt and grammar with the chat template's
// thinking mode off. Qwen3.5's template defaults thinking=1, so under a
// grammar the constrained JSON lands in reasoning_content with content
// empty — llm.Client's ReasoningContent fallback is what makes the router
// work at all today, by accident rather than design.
//
// MEASURED 2026-07-31: this variant scores identically to as-deployed
// (18/76, 48.7% intent-only, 2 errors, same p50). Thinking mode is a
// non-issue under a grammar — llama.cpp constrains the same token stream
// either way. Kept so the question stays answered instead of being
// re-asked, and so internal/llm does NOT grow a chat_template_kwargs field
// for a problem that does not exist.
repNoThink, err := Score(ctx, "llm-only ("+model+", thinking off) [diagnostic]",
RouterFunc(func(ctx context.Context, u string, now time.Time) (router.Decision, error) {
d, ok, err := router.NewLLMRouter(&noThinkCompleter{base: base, http: &http.Client{Timeout: 60 * time.Second}}).Route(ctx, u, now)
if err != nil {
return d, err
}
if !ok {
return d, fmt.Errorf("llm router declined without an error")
}
return d, nil
}), f)
if err != nil {
t.Fatalf("Score no-thinking: %v", err)
}
t.Log("\n" + repNoThink.String() + repNoThink.Failures())
// Reports rather than asserts — the numbers are inputs to the #320
// decision, and an assertion here would be this test inventing the bar.
// The one thing worth failing on is a harness fault: if every single case
// errors, the run measured infrastructure, not routing, and the report
// must not be mistaken for a score.
for _, rep := range []Report{repLLM, repCascade, repNoThink} {
for _, rep := range []Report{repLLM, repCascade} {
if rep.Errors == rep.Total {
t.Errorf("%s: all %d cases errored — harness fault, not a measurement", rep.Name, rep.Total)
}
}
}
// noThinkCompleter — llm.Client with chat_template_kwargs.enable_thinking
// false. A test-local copy rather than a change to internal/llm: whether the
// daemon should send it is the open question, and answering it here by adding
// the field would prejudge #320.
type noThinkCompleter struct {
base string
http *http.Client
}
func (c *noThinkCompleter) Complete(ctx context.Context, r llm.Req) (string, error) {
payload := map[string]any{
"messages": []map[string]string{
{"role": "system", "content": r.System},
{"role": "user", "content": r.User},
},
"max_tokens": r.MaxTokens,
"temperature": 0,
"grammar": r.Grammar,
"chat_template_kwargs": map[string]any{"enable_thinking": false},
}
b, err := json.Marshal(payload)
if err != nil {
return "", err
}
req, err := http.NewRequestWithContext(ctx, "POST", c.base+"/v1/chat/completions", bytes.NewReader(b))
if err != nil {
return "", err
}
req.Header.Set("Content-Type", "application/json")
resp, err := c.http.Do(req)
if err != nil {
return "", err
}
defer resp.Body.Close()
if resp.StatusCode != 200 {
return "", fmt.Errorf("status %d", resp.StatusCode)
}
var out struct {
Choices []struct {
Message struct {
Content string `json:"content"`
ReasoningContent string `json:"reasoning_content"`
} `json:"message"`
} `json:"choices"`
}
if err := json.NewDecoder(resp.Body).Decode(&out); err != nil {
return "", err
}
if len(out.Choices) == 0 {
return "", fmt.Errorf("no choices")
}
m := out.Choices[0].Message
if m.Content != "" {
return m.Content, nil
}
return m.ReasoningContent, nil
}
func ping(ctx context.Context, c *llm.Client) error {
ctx, cancel := context.WithTimeout(ctx, 90*time.Second)
defer cancel()
+84
View File
@@ -175,3 +175,87 @@ func TestLLMRouterLLMError(t *testing.T) {
t.Fatal("want ok=false, err!=nil on llm error")
}
}
// --- slot extraction on top of an LLM decision --------------------------------
// newLLMTestRouter — a router whose route always comes from the mock model.
func newLLMTestRouter(t *testing.T, out string) *Router {
t.Helper()
c := NewClassifier(NewHashEmbedder(1024))
seedClassifier(t, c)
acts := DefaultActMatcher{Fns: []string{"restart", "stop", "run", "backup"}}
return New(Config{
Classifier: c,
Extractor: Extractor{Time: StubDateTimeParser{}, Acts: acts, Facts: DefaultFactParser{}},
Threshold: 0.4,
LLM: NewLLMRouter(mockLLM{out: out}),
})
}
// The model cannot produce a fire time, so without extraction every LLM-routed
// reminder was dropped as "no time".
func TestLLMDecisionGetsReminderTime(t *testing.T) {
r := newLLMTestRouter(t, `{"intent":"reminder","text":"позвонить маме"}`)
d, err := r.Route(context.Background(), "напомни позвонить маме через 2 часа", refNow())
if err != nil {
t.Fatalf("route: %v", err)
}
if d.Intent != IntentReminder {
t.Fatalf("want reminder, got %v", d.Intent)
}
if !d.Slots.HasTime || !d.Slots.Time.Equal(refNow().Add(2*time.Hour)) {
t.Fatalf("want time now+2h, got %+v", d.Slots)
}
if d.Slots.Text != "позвонить маме" {
t.Fatalf("extraction overwrote the model's text: %q", d.Slots.Text)
}
}
// No time in the utterance ⇒ no time in the slots. Do not invent one; the
// daemon says it could not read the time.
func TestLLMReminderWithoutTimeStaysEmpty(t *testing.T) {
r := newLLMTestRouter(t, `{"intent":"reminder","text":"позвонить маме"}`)
d, err := r.Route(context.Background(), "напомни позвонить маме", refNow())
if err != nil {
t.Fatalf("route: %v", err)
}
if d.Slots.HasTime {
t.Fatalf("invented a time: %v", d.Slots.Time)
}
}
// An act decision arrived with no Fn, so the tool never ran.
func TestLLMDecisionGetsActFn(t *testing.T) {
r := newLLMTestRouter(t, `{"intent":"act","verb":"restart nginx"}`)
d, err := r.Route(context.Background(), "слушай, restart nginx пожалуйста", refNow())
if err != nil {
t.Fatalf("route: %v", err)
}
if !d.Slots.HasFn || d.Slots.Fn != "restart" || len(d.Slots.Args) != 1 || d.Slots.Args[0] != "nginx" {
t.Fatalf("want fn=restart args=[nginx], got %+v", d.Slots)
}
}
// The model's own slots win; extraction only fills gaps.
func TestLLMSlotsWinOverExtraction(t *testing.T) {
r := newLLMTestRouter(t, `{"intent":"fact","key":"hydration","value":"выпил"}`)
d, err := r.Route(context.Background(), "я выпил воду", refNow())
if err != nil {
t.Fatalf("route: %v", err)
}
if d.Slots.Key != "hydration" {
t.Fatalf("extraction overwrote the model's key: %q", d.Slots.Key)
}
}
// A fact the model left keyless still gets one from the parser.
func TestLLMFactGetsKeyFromParser(t *testing.T) {
r := newLLMTestRouter(t, `{"intent":"fact","text":"я выпил воду"}`)
d, err := r.Route(context.Background(), "я выпил воду", refNow())
if err != nil {
t.Fatalf("route: %v", err)
}
if !d.Slots.HasKey || d.Slots.Key != "water" {
t.Fatalf("want key=water, got %+v", d.Slots)
}
}
+34
View File
@@ -88,6 +88,7 @@ func (r *Router) Route(ctx context.Context, utterance string, now time.Time) (De
if r.llm != nil {
if d, ok, err := r.llm.Route(ctx, utterance, now); err == nil && ok {
d.Utterance = utterance
r.fillSlots(ctx, &d, now)
return d, nil
} else if err != nil {
log.Printf("router: llm route fell back to classifier: %v", err)
@@ -118,6 +119,39 @@ func (r *Router) Route(ctx context.Context, utterance string, now time.Time) (De
return d, nil
}
// fillSlots — run stage-2 extraction on an LLM decision and fill only the slots
// the model left empty. The LLM wins where it answered: it saw the sentence, the
// parsers are keyword tables. Extraction covers what the model cannot produce at
// all — a parsed reminder time and an allowlist fn.
//
// If a reminder still has no time, leave it missing. The daemon then says it
// could not read the time; inventing one would set a wrong alarm.
func (r *Router) fillSlots(ctx context.Context, d *Decision, now time.Time) {
ex := r.extractor.Extract(ctx, d.Intent, d.Utterance, now)
if !d.Slots.HasTime && ex.HasTime {
d.Slots.Time, d.Slots.HasTime = ex.Time, ex.HasTime
}
if !d.Slots.HasKey && ex.HasKey {
d.Slots.Key, d.Slots.Value, d.Slots.HasKey = ex.Key, ex.Value, ex.HasKey
}
if !d.Slots.HasFn && ex.HasFn {
d.Slots.Fn, d.Slots.Args, d.Slots.HasFn = ex.Fn, ex.Args, ex.HasFn
}
// For an act the model returns the verb in Text ("restart nginx"), which is
// often cleaner than the raw utterance ("maven, could you restart nginx").
// Try it too when the utterance did not match the allowlist.
if d.Intent == IntentAct && !d.Slots.HasFn && r.extractor.Acts != nil &&
d.Slots.Text != "" && d.Slots.Text != d.Utterance {
if fn, args, ok := r.extractor.Acts.Match(d.Slots.Text); ok {
d.Slots.Fn, d.Slots.Args, d.Slots.HasFn = fn, args, true
}
}
if d.Slots.Text == "" {
d.Slots.Text = ex.Text
}
// Stage stays 1: it says who decided the route, and that was the LLM.
}
// CorrectMisroute — the user corrected a bad classification. Appends a new
// example for the corrected intent (append-only — grows the classifier, no
// retrain). Same shape as nudges.outcome tuning cooldowns: more reliable over
+74
View File
@@ -0,0 +1,74 @@
package store
import (
"context"
"fmt"
"time"
)
// DialogueSessionRow — one saved follow-up session. Data is the session
// encoded by the dialogue package; the store does not look inside it.
type DialogueSessionRow struct {
ID string
Data []byte
Ts time.Time
TTL time.Duration
Expires time.Time
}
// SaveDialogueSession — write (or replace) the session for one dialogue id.
// One row per id: a newer turn overwrites the older state.
func (s *Store) SaveDialogueSession(ctx context.Context, id string, data []byte, ts time.Time, ttl time.Duration) error {
expires := ts.Add(ttl)
_, err := s.db.ExecContext(ctx, `
INSERT INTO dialogue_sessions (id, data, ts, ttl_ms, expires_ts) VALUES (?, ?, ?, ?, ?)
ON CONFLICT(id) DO UPDATE SET data = excluded.data,
ts = excluded.ts,
ttl_ms = excluded.ttl_ms,
expires_ts = excluded.expires_ts`,
id, data, ts.UnixMilli(), ttl.Milliseconds(), expires.UnixMilli())
if err != nil {
return fmt.Errorf("save dialogue session: %w", err)
}
return nil
}
// DeleteDialogueSession — drop one session (ended, or expired).
func (s *Store) DeleteDialogueSession(ctx context.Context, id string) error {
if _, err := s.db.ExecContext(ctx, `DELETE FROM dialogue_sessions WHERE id = ?`, id); err != nil {
return fmt.Errorf("delete dialogue session: %w", err)
}
return nil
}
// LoadDialogueSessions — return the sessions still alive at `now` and delete
// the ones that already ran out. An expired session is dead: it never comes
// back after a restart.
func (s *Store) LoadDialogueSessions(ctx context.Context, now time.Time) ([]DialogueSessionRow, error) {
if _, err := s.db.ExecContext(ctx,
`DELETE FROM dialogue_sessions WHERE expires_ts <= ?`, now.UnixMilli()); err != nil {
return nil, fmt.Errorf("prune dialogue sessions: %w", err)
}
rows, err := s.db.QueryContext(ctx,
`SELECT id, data, ts, ttl_ms, expires_ts FROM dialogue_sessions ORDER BY id`)
if err != nil {
return nil, fmt.Errorf("load dialogue sessions: %w", err)
}
defer rows.Close()
var out []DialogueSessionRow
for rows.Next() {
var r DialogueSessionRow
var tsMilli, ttlMilli, expMilli int64
if err := rows.Scan(&r.ID, &r.Data, &tsMilli, &ttlMilli, &expMilli); err != nil {
return nil, fmt.Errorf("scan dialogue session: %w", err)
}
r.Ts = time.UnixMilli(tsMilli).UTC()
r.TTL = time.Duration(ttlMilli) * time.Millisecond
r.Expires = time.UnixMilli(expMilli).UTC()
out = append(out, r)
}
if err := rows.Err(); err != nil {
return nil, fmt.Errorf("load dialogue sessions: %w", err)
}
return out, nil
}
+9
View File
@@ -74,6 +74,15 @@ ALTER TABLE reminders ADD COLUMN next_fire_ts INTEGER;`, // #2
`CREATE INDEX IF NOT EXISTS idx_nudges_snoozed ON nudges (outcome_ts) WHERE outcome = 'snoozed';`, // #8 — SnoozedUntil runs every tick; keep it off a full scan (Vikunja #364)
`ALTER TABLE proposed_routines ADD COLUMN accepted_ts INTEGER;
ALTER TABLE proposed_routines ADD COLUMN last_fired_ts INTEGER;`, // #9 — accepted routines keep firing (Vikunja #366): the tick loop needs to know when a routine was accepted and when it last nudged
`CREATE TABLE IF NOT EXISTS dialogue_sessions (
id TEXT PRIMARY KEY,
data BLOB NOT NULL,
ts INTEGER NOT NULL,
ttl_ms INTEGER NOT NULL,
expires_ts INTEGER NOT NULL
);
CREATE INDEX IF NOT EXISTS idx_dialogue_sessions_expires ON dialogue_sessions (expires_ts);`, // #10 — the follow-up session survives a restart (Vikunja #363); small, TTL-pruned table, not a history log
}
// migrate applies every migration with a number greater than the DB's current