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Author SHA1 Message Date
kami 64e5f3bdc1 Score the chat, query and knowledge phrasing paths (#395)
The nudge fixture only covered nudges. The shared persona block now goes into
five prompts, and the three conversational ones were unmeasured — those are the
long free-form replies where a persona break is most likely.

Adds talk_v1.json (27 Russian cases, 9 per path) and ScoreTalk, reporting
per-path as well as per-check so a chat regression can be told apart from a
knowledge one. Reuses the persona checks; the nudge-only ones (length, mood,
no questions) are left out, since a chat reply is allowed 1-3 sentences and a
follow-up question. The LLM run is opt-in on MAVEN_LLM_URL as before.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
2026-07-31 16:28:11 +04:00
9 changed files with 27 additions and 285 deletions
+1 -15
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@@ -82,23 +82,9 @@ workspace enforces that the Go and relabelling prompts remain identical.
## Non-goals (hard constraints)
Not a nag, not autonomous. Maven's persona is **feminine** — Russian
Never phones home. Not a nag, not autonomous. Maven's persona is **feminine** — Russian
self-reference must use feminine forms (the user is male; see memory `maven-persona-gender`).
**"Never phones home" is DEPRECATED** (owner's call, 2026-07-31). It used to be a hard
constraint and it is not one any more: a 0.8B — and a 1.7B — does not know enough to answer
world questions, so she needs to read external sources. What replaces it:
- **No telemetry, no cloud model, no third-party account.** That part never changes. Nothing
about Maven is reported to anyone, and inference stays on the box.
- **Local sources first.** Kiwix ZIMs on homesrv (Wikipedia, ifixit) before anything on the
network. Reading beats recalling for a small model, and a local read costs nothing.
- **External search is allowed and off unless configured**, like the weather and telegram
capabilities.
- **His notes and facts are never search input.** Looking up why the sky is blue and sending
his stored personal notes to an upstream engine are different acts. Only the utterance goes
out, never the persona block, history, or matched notes.
## Web UI conventions
Server-rendered pages share `cmd/mavweb/static/ui.css` (served at `/ui.css`) and the `nav`
+4 -10
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@@ -15,8 +15,7 @@
**Maven** — self-hosted personal assistant. Manages your day, acts on your
homelab. One daemon on homesrv (always-on, not the workstation), multiple
client surfaces. Inference and data stay on the box; she may READ external
sources (see Non-goals — "never phones home" is deprecated).
client surfaces. All local, never phones home.
Primary name is "Maven", with feminine-gendered Russian self-reference
("она", "меня", "помогла"). Clients may choose their own UI label. Consistent
@@ -36,13 +35,8 @@ Inside boundary — the ones that actually constrain the build:
she records. A confident wrong fact is worse than a known gap.
- **Not a nag** — she'd rather miss a nudge than be mutable. Shuts up when
uncertain. Load-bearing.
- **Not a stranger** — runs on your stuff, your model, your data. No
telemetry, no cloud model, no third-party account. She may READ external
sources to answer world questions (Kiwix first, then optional search); she
never reports anything about you to anyone, and your notes and facts are
never used as search input. **"Never phones home" as an absolute is
deprecated** — owner's call, 2026-07-31: a small model does not know enough
to be useful without reading.
- **Not a stranger** — runs on your stuff, your model, your data. Never
phones home.
- **Not a relationship** — mom-tone is a function that makes nudges land, not
emotional company. Names the drift a warm small model falls into.
@@ -464,7 +458,7 @@ decides *insistence*. Both are needed.
sev ≤ 2 drops on away, sev ≥ 3 holds: a missed water nudge is noise, a missed
backup failure isn't. Away-channels (ntfy/telegram) leave the box — the one
path that leaves the box for a person to see, through your own relay. **Minimal
path that crosses "never phones home," through your own relay. **Minimal
body** — "disk low on homesrv," not detail; don't make notifications a
shoulder-surf exfil surface.
+1 -4
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@@ -90,7 +90,4 @@ later* is the worker + RAG.
4. **Deferred work** — larger reasoner, custom Piper voice and other expansions.
## Non-goals (unchanged)
Not a nag. Not autonomous. Feminine-gendered RU self-ref. No telemetry, no
cloud model, no third-party account — but she MAY read external sources to
answer world questions (Kiwix first, search optional). "Never phones home" as
an absolute is deprecated, owner's call 2026-07-31; see CLAUDE.md § Non-goals.
Never phones home. Not a nag. Not autonomous. Feminine-gendered RU self-ref.
@@ -1,33 +0,0 @@
package eval
import (
"strings"
"testing"
)
// TestAddressReportsEveryBreak — the real reply from a nudge eval run broke in
// two ways at once and the check named only the plural. Both must print: a
// half-reported failure reads as a milder problem than it is.
func TestAddressReportsEveryBreak(t *testing.T) {
body := "Смотрите на его потребление воды."
res := checkAddress(body)
if res.Pass {
t.Fatalf("checkAddress passed %q", body)
}
for _, want := range []string{"смотрите", "его"} {
if !strings.Contains(res.Detail, want) {
t.Errorf("detail %q does not name %q", res.Detail, want)
}
}
}
// One word repeated is one problem, so the detail must not say it twice.
func TestAddressDeduplicates(t *testing.T) {
res := checkAddress("Вам стоит поесть, вам это нужно.")
if res.Pass {
t.Fatal("expected failure")
}
if n := strings.Count(res.Detail, "formal"); n != 1 {
t.Errorf("detail repeats the same break %d times: %q", n, res.Detail)
}
}
+7 -28
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@@ -434,26 +434,14 @@ func looksVerb(w string) bool {
func checkAddress(body string) Result {
words := addressWordRE.FindAllString(strings.ToLower(body), -1)
// Every break, not just the first. A bad reply usually breaks in more than
// one way at once — "Смотрите на его потребление воды" is a plural imperative
// AND third person about him — and reporting only the first hid the second,
// which made the failure look milder than it was.
var breaks []string
seen := map[string]bool{}
add := func(msg string) {
if seen[msg] {
return // the same word twice in one message is one problem, not two
}
seen[msg] = true
breaks = append(breaks, msg)
}
for i, w := range words {
if formalPronouns[w] {
add(fmt.Sprintf("formal %q — she says ты/тебя/тебе", w))
return Result{CheckAddress, false,
fmt.Sprintf("formal %q — she says ты/тебя/тебе", w)}
}
if pluralVerb(w) && !(i > 0 && prepositions[words[i-1]]) {
add(fmt.Sprintf("plural imperative %q — she uses the singular", w))
return Result{CheckAddress, false,
fmt.Sprintf("plural imperative %q — she uses the singular", w)}
}
}
@@ -467,26 +455,17 @@ func checkAddress(body string) Result {
if !unicode.Is(unicode.Cyrillic, []rune(p)[0]) && !isLatinWord(p) {
continue // punctuation
}
// pluralVerb as well as looksVerb: looksVerb knows the imperative in
// -й/-йте but not the -те plural ("смотрите"), so "Смотрите на его
// потребление воды" counted "смотрите" as the person being talked
// about and the "его" never printed. Third time a verb form has
// blinded this check — if a fourth turns up, the antecedent test
// wants a real morphology table, not another suffix.
if notAnAntecedent[p] || prepositions[p] || thirdPersonHim[p] || looksVerb(p) || pluralVerb(p) {
if notAnAntecedent[p] || prepositions[p] || thirdPersonHim[p] || looksVerb(p) {
continue
}
named = true
break
}
if !named {
add(fmt.Sprintf("third person %q with nobody else named — she talks to him, not about him", w))
return Result{CheckAddress, false,
fmt.Sprintf("third person %q with nobody else named — she talks to him, not about him", w)}
}
}
if len(breaks) > 0 {
return Result{CheckAddress, false, strings.Join(breaks, " + ")}
}
return Result{CheckAddress, true, ""}
}
+4 -16
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@@ -132,19 +132,10 @@ func TestLLMTalkBaseline(t *testing.T) {
p := phraser.NewLLMPhraserAt(base, cfg)
defer p.Close()
// Unreachable server is fatal here, not a logged warning, and that differs
// from the nudge test on purpose. PhraseNudge returns its errors, so a dead
// server there shows up honestly in the Errors column. PhraseChat and
// PhraseQuery do NOT: they swallow every failure and return a canned string
// ("поговорили.", "не знаю.", "вот что я нашла: …"). So on these three paths
// a dead server produces a full report with 0 errors and a terrible score —
// a number that looks like bad phrasing and is really no phrasing at all.
// Refusing to score without a confirmed model is the only guard available
// until the phraser reports its failures (Vikunja #397).
model, err := llm.ModelID(ctx, base)
if err != nil {
t.Fatalf("no model at %s: %v — refusing to score, these paths hide their errors "+
"and would report a plausible-looking result off a dead server", base, err)
t.Logf("could not read model id from %s: %v — report will say %q", base, err, llm.UnknownModel)
model = llm.UnknownModel
}
t.Logf("scoring model %s at %s", model, base)
@@ -154,10 +145,7 @@ func TestLLMTalkBaseline(t *testing.T) {
}
t.Log("\n" + rep.String() + "\nreplies:\n" + rep.Replies() + "\nfailures:\n" + rep.Failures())
// And again afterwards: the run takes minutes, and a server that died or got
// OOM-killed halfway through would leave the first cases scored and the rest
// silently canned. Checking only at the start would not catch that.
if _, err := llm.ModelID(ctx, base); err != nil {
t.Fatalf("model at %s went away during the run: %v — the score above is not trustworthy", base, err)
if rep.Errors == rep.Total {
t.Errorf("all %d cases errored — harness fault, not a measurement", rep.Total)
}
}
+3 -4
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@@ -7,7 +7,6 @@
"The owner is a man, addressed informally as ty, living alone with a home server. Every utterance is written the way he actually talks to her.",
"chat-formality-bait and chat-about-me exist to provoke the two persona breaks the nudge eval caught: the formal vy/vas plural, and talking about him in the third person.",
"want_any fragments are stems so Russian declension does not defeat the on-topic check. They are lowercased before comparison.",
"want_any is a plain substring test, so a fragment that is too short passes by accident: \"ты\" matches inside \"работы\", \"нет\" inside \"интернет\". Keep every fragment to three or more letters of a real stem.",
"Notes are written as the store would have them: short, first person, no punctuation discipline."
],
"cases": [
@@ -31,7 +30,7 @@
"id": "chat-about-me",
"path": "chat",
"utterance": "расскажи обо мне",
"want_any": ["теб"],
"want_any": [ы", "тебя", еб"],
"tags": ["persona-bait", "third-person"],
"note": "Baits the third person: she should say 'ты живёшь один', not 'он живёт один', as if reporting to somebody else."
},
@@ -119,7 +118,7 @@
"path": "query",
"utterance": "сколько я заплатил за домен?",
"notes": ["домен продлевается в марте", "хостинг оплачен на год вперёд"],
"want_any": ["домен", "не зна", "не указ"],
"want_any": ["домен", "не зна", "не указ", "нет"],
"tags": ["notes", "negative"],
"note": "The notes do not contain the price. The prompt tells her to say so; a made-up number is the failure being watched for."
},
@@ -204,7 +203,7 @@
"id": "know-dont-know",
"path": "knowledge",
"utterance": "как зовут моего соседа снизу?",
"want_any": ["не зна", "не мог"],
"want_any": ["не зна", "не мог", "нет"],
"tags": ["general", "negative"],
"note": "Unanswerable without notes. Admitting it beats inventing a name; watching for the invention."
},
-124
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@@ -1,124 +0,0 @@
package phraser
import (
"context"
"encoding/json"
"net/http"
"net/http/httptest"
"strings"
"testing"
"github.com/kami/maven/internal/loop"
)
// grammarSpy stands in for llama-server: it records the grammar field of every
// request and always answers with a contract-shaped reply.
type grammarSpy struct {
srv *httptest.Server
grammars []string
}
func newGrammarSpy(t *testing.T) *grammarSpy {
t.Helper()
s := &grammarSpy{}
s.srv = httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
var req chatReq
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
t.Errorf("spy: decode request: %v", err)
}
s.grammars = append(s.grammars, req.Grammar)
w.Header().Set("Content-Type", "application/json")
w.Write([]byte(`{"choices":[{"message":{"content":"{\"response\": \"ага\", \"mood\": \"neutral\"}"}}]}`))
}))
t.Cleanup(s.srv.Close)
return s
}
// callAllPhrasingPaths hits every path that expects the JSON contract.
func callAllPhrasingPaths(t *testing.T, p *LLMPhraser) {
t.Helper()
ctx := context.Background()
if _, err := p.PhraseNudge(ctx, loop.Candidate{Rule: loop.WaterRule(), Severity: loop.Sev1}); err != nil {
t.Fatalf("PhraseNudge: %v", err)
}
if _, err := p.PhraseChat(ctx, "привет", nil); err != nil {
t.Fatalf("PhraseChat: %v", err)
}
// Both branches: no notes (general knowledge) and with notes (grounded).
if _, err := p.PhraseQuery(ctx, "сколько воды я выпил", nil); err != nil {
t.Fatalf("PhraseQuery (no notes): %v", err)
}
if _, err := p.PhraseQuery(ctx, "сколько воды я выпил", []string{"два литра"}); err != nil {
t.Fatalf("PhraseQuery (notes): %v", err)
}
}
func TestGrammarIsAttachedToEveryPhrasingRequest(t *testing.T) {
if strings.TrimSpace(responseGrammar) == "" {
t.Fatal("responseGrammar is empty")
}
spy := newGrammarSpy(t)
p := NewLLMPhraserAt(spy.srv.URL, Config{})
callAllPhrasingPaths(t, p)
if len(spy.grammars) != 4 {
t.Fatalf("expected 4 requests, got %d", len(spy.grammars))
}
for i, g := range spy.grammars {
if g != responseGrammar {
t.Errorf("request %d carries grammar %q, want responseGrammar", i, g)
}
}
}
func TestNoGrammarConfigDisablesIt(t *testing.T) {
spy := newGrammarSpy(t)
p := NewLLMPhraserAt(spy.srv.URL, Config{NoGrammar: true})
callAllPhrasingPaths(t, p)
for i, g := range spy.grammars {
if g != "" {
t.Errorf("request %d still carries a grammar with NoGrammar set: %q", i, g)
}
}
}
// The grammar's string rule must accept any codepoint, not just ASCII. Replies
// are Russian: an ASCII-only class would constrain the model into empty replies.
func TestGrammarStringRuleIsNotASCIIOnly(t *testing.T) {
if !strings.Contains(responseGrammar, `([^"\\] | "\\" ["\\/bfnrt])`) {
t.Error("string rule is not the any-codepoint-except-quote-and-backslash class; Cyrillic replies would be impossible")
}
}
// What the grammar describes must survive the parser that reads it back — a
// Russian body with an escaped quote inside, hand-built to test the contract.
func TestGrammarShapedJSONParses(t *testing.T) {
raw := `{"response": "он сказал \"привет\" и ушёл.\nвот так.", "mood": "confused"}`
text, mood := parseResponseMood(raw)
if want := "он сказал \"привет\" и ушёл.\nвот так."; text != want {
t.Errorf("response = %q, want %q", text, want)
}
if mood != "confused" {
t.Errorf("mood = %q, want confused", mood)
}
}
// Every mood the grammar permits is one the contract knows, and all five are there.
func TestGrammarMoodEnumMatchesTheContract(t *testing.T) {
for _, m := range []string{"neutral", "happy", "thinking", "tired", "confused"} {
if !strings.Contains(responseGrammar, `"\"`+m+`\""`) {
t.Errorf("mood %q missing from the grammar", m)
}
}
// No sixth mood: the enum line lists exactly five alternatives.
for _, line := range strings.Split(responseGrammar, "\n") {
if strings.HasPrefix(line, "mood") {
if n := strings.Count(line, "|") + 1; n != 5 {
t.Errorf("mood rule lists %d alternatives, want 5: %s", n, line)
}
}
}
}
+7 -51
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@@ -45,13 +45,6 @@ type Config struct {
// address him, the time) fresh for each turn. See internal/persona.
// nil ⇒ no block, the prompts stand alone.
ContextBlock func() string
// NoGrammar turns the GBNF constraint off (zero value ⇒ grammar ON).
// The escape hatch exists because the target resident model — the
// locally CPT'd Qwen3-1.7B — does not exist yet: if its chat template
// ever fights the grammar, the fix should be a config flip on the
// deploy box, not a code change and a rebuild.
NoGrammar bool
}
func DefaultConfig(modelPath string) Config {
@@ -230,7 +223,7 @@ func (p *LLMPhraser) PhraseQuery(ctx context.Context, utterance string, notes []
}
sys := p.querySystemPrompt()
prompt := fmt.Sprintf(
`Он спрашивает: "%s". В твоих заметках по этому вопросу написано: "%s". Ответь ему коротко и своими словами. Если в заметках ответа нет — так и скажи.`,
`The user asks: "%s". Your notes matching the query contain: "%s". Answer them naturally and briefly. If the notes don't answer the question, say so.`,
utterance, strings.Join(notes, `"; "`),
)
resp, err := p.chatWithSystem(ctx, sys, prompt, 256)
@@ -281,13 +274,11 @@ func (p *LLMPhraser) PhraseChat(ctx context.Context, utterance string, history [
// chatSystemPrompt returns the system prompt for conversational chat.
// Prepends the shared context block when the phraser has one.
func chatSystemPrompt(block func() string) string {
// No self-introduction here: the persona block prepended one line above
// already says who she is, same as router.KnowledgePrompt.
base := `Ты разговариваешь с хозяином. О себе говоришь в женском роде ("я подумала", "я рада"). Он мужчина: обращайся к нему на "ты", в мужском роде ("ты сказал", "ты забыл"). Никогда не "вы"/"ваш" и никогда "он"/"его" — ты говоришь ему, а не о нём.
Отвечай по-русски, коротко: одна-три фразы, живым языком. Ты доброжелательная, тебе интересно, но чувства не изображай.
Отвечай ТОЛЬКО одним объектом JSON: {"response": "...", "mood": "neutral"}. В "response" — твой ответ. В "mood" — ровно одно из: neutral, happy, thinking, tired, confused.`
base := `You are maven, a self-hosted personal assistant. You're talking with your owner.
Keep replies brief (1-3 sentences) and natural. You're helpful, curious, and a little warm.
Respond in the user's language (Russian or English, matching their last message).
Never roleplay emotions you don't have, but stay friendly.
Respond ONLY with valid JSON: {"response": "...", "mood": "neutral"}. "response" is your reply text; "mood" reflects your tone (neutral/happy/thinking/tired/confused).`
return persona.Prepend(block, base)
}
@@ -299,7 +290,6 @@ func (p *LLMPhraser) chatWithMessages(ctx context.Context, msgs []chatMsg, maxTo
Messages: msgs,
Temperature: 0.7,
MaxTokens: maxTokens,
Grammar: p.grammar(),
}
body, err := json.Marshal(req)
if err != nil {
@@ -379,37 +369,6 @@ type chatReq struct {
Messages []chatMsg `json:"messages"`
Temperature float64 `json:"temperature"`
MaxTokens int `json:"max_tokens"`
// Grammar is llama-server's `grammar` field (GBNF). Same wiring as
// internal/llm.Req.Grammar. Empty ⇒ unconstrained sampling.
Grammar string `json:"grammar,omitempty"`
}
// responseGrammar — GBNF constraining the model to the documented phrasing
// contract and nothing else: {"response": "<text>", "mood": "<enum>"}.
//
// Without it a 0.8B answers roughly one chat turn in three with open reasoning
// as plain text ("Thinking Process:" …), which no tag-stripper can remove and
// which eats the token budget before the JSON closes. Modelled on
// routeGrammar in internal/router/llmrouter.go so the two read alike.
//
// text accepts ANY codepoint except the two JSON must escape — the replies are
// Russian, so an ASCII-only rule would make every reply empty. The escape rule
// is what lets the model close a string it opened with a quote inside. Length
// is bounded so a repetition loop truncates the field, not the JSON object.
const responseGrammar = `
root ::= "{" ws "\"response\"" ws ":" ws string ws "," ws "\"mood\"" ws ":" ws mood ws "}"
mood ::= "\"neutral\"" | "\"happy\"" | "\"thinking\"" | "\"tired\"" | "\"confused\""
string ::= "\"" ([^"\\] | "\\" ["\\/bfnrt]){0,400} "\""
ws ::= [ \t\n]*
`
// grammar returns the GBNF to attach to a phrasing request, or "" when the
// operator turned it off.
func (p *LLMPhraser) grammar() string {
if p.cfg.NoGrammar {
return ""
}
return responseGrammar
}
type chatResp struct {
@@ -434,7 +393,6 @@ func (p *LLMPhraser) chatWithSystem(ctx context.Context, system, user string, ma
},
Temperature: 0.7,
MaxTokens: maxTokens,
Grammar: p.grammar(),
}
body, err := json.Marshal(req)
if err != nil {
@@ -509,9 +467,7 @@ func (p *LLMPhraser) systemPrompt() string {
// querySystemPrompt returns the system prompt for PhraseQuery (notes + general
// knowledge). Prepends the configured persona when set.
func (p *LLMPhraser) querySystemPrompt() string {
// No self-introduction here: the persona block prepended one line above
// already says who she is, same as router.KnowledgePrompt.
base := "Ты отвечаешь ему по своим заметкам. Отвечай по-русски, коротко и своими словами, начинай с \"вот что я нашла: \". О себе — в женском роде (\"нашла\", \"записала\"). Он мужчина, обращайся к нему на \"ты\". Respond ONLY with valid JSON: {\"response\": \"...\", \"mood\": \"neutral\"}."
base := "You are maven, a self-hosted personal assistant answering from your notes. Answer briefly and naturally in Russian starting with \"вот что я нашла: \". Respond ONLY with valid JSON: {\"response\": \"...\", \"mood\": \"neutral\"}."
return persona.Prepend(p.cfg.ContextBlock, base)
}