Files
Maven/cmd/mavend/replier_llm.go
T
kami b9a24334ea Say it the way she'd actually say it
Wording fixes from the review of the clarify + phrasing PRs.

- "На когда напомнить?" → "Когда?". After she has just been asked something,
  the long form is the phrasing of a form field, not of a person.
- A reminder now wants a subject as well as a time. "напомни в 11" had a time
  and nothing to say at 11, and she asked nothing at all — she now asks
  "О чём напомнить?". Subject first, since a reminder with no subject is not
  worth setting.
- The expiry notice is five phrasings picked at random instead of one fixed
  sentence. It is the line he hears every time he walks off mid-request, so it
  is the line that repeats most.
- The nudge prompt's ban on "обращения" is now "ласковые обращения". It was
  meant to forbid "милый"/"дорогой", not his name — "Ками, ноутбук на трёх
  процентах" is how she talks, and the eval's cringe check already only flags
  pet names.
- The nudge example no longer claims she plugged the laptop in. She has no
  hands and no smart plug; an example where she acts teaches the model to
  invent actions Maven never took.
- replySystem: "тепло" → "спокойно и без официальных формулировок". A one-word
  mood instruction a 1.7B can't act on, replaced with the behaviour meant.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CGeSZxh1DCtRxmFVSYVGvJ
2026-07-31 21:52:12 +04:00

122 lines
4.3 KiB
Go

package main
import (
"context"
"encoding/json"
"strings"
"time"
"github.com/kami/maven/internal/llm"
"github.com/kami/maven/internal/persona"
"github.com/kami/maven/internal/router"
"github.com/kami/maven/internal/voice"
)
// completer is the LLM seam for the replier (subset of router.Completer).
// *llm.Client satisfies it.
type completer interface {
Complete(ctx context.Context, r llm.Req) (string, error)
}
// llmReplier phrases reactive confirmations with the resident model
// (Qwen3-1.7B). Stub is the
// floor on any error (offline-safe). Maven speaks as "she", feminine RU.
type llmReplier struct {
c completer
stub *voice.StubReplier
// block renders the shared context block per turn (who he is, the time).
// nil ⇒ the prompt stands alone.
block func() string
}
func newLLMReplier(c completer, block func() string) *llmReplier {
return &llmReplier{c: c, stub: voice.NewStubReplier(), block: block}
}
const replySystem = `Ты — Maven, домашняя ассистентка (о себе — в женском роде). Владелец — мужчина, говоришь с ним на "ты", в единственном числе; никогда не "вы"/"ваш" и не "он"/"его". Подтверди действие РОВНО ОДНИМ коротким предложением (≤120 символов), по-русски, спокойно и без официальных формулировок. 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 {
return r.stub.Reply(d)
}
ctx, cancel := context.WithTimeout(context.Background(), 60*time.Second)
defer cancel()
out, err := r.c.Complete(ctx, llm.Req{
System: persona.Prepend(r.block, replySystem),
User: replyContext(d),
MaxTokens: 512,
RepeatPenalty: 1.3,
})
if err != nil {
return r.stub.Reply(d)
}
out = stripThink(out)
if response, _ := parseResponseMood(out); response != "" {
return response
}
// fallback: try plain-text parsing
if out = firstSentence(out); out != "" {
return out
}
return r.stub.Reply(d)
}
// firstSentence trims the model's output to a single clean confirmation: first
// line, first sentence, whitespace-normalized — the last-line defense against a
// small model that rambles past the first period despite the prompt + stop.
// stripThink removes the <think> block that Thinking-variant models emit.
func stripThink(s string) string {
if i := strings.LastIndex(s, "</think>"); i >= 0 {
s = strings.TrimSpace(s[i+8:])
}
return s
}
func firstSentence(s string) string {
s = strings.TrimSpace(s)
if i := strings.IndexByte(s, '\n'); i >= 0 {
s = s[:i]
}
// keep up to and including the first sentence-ending punctuation.
if i := strings.IndexAny(s, ".!?"); i >= 0 {
s = s[:i+1]
}
return strings.TrimSpace(s)
}
// parseResponseMood extracts {"response","mood"} from LLM output, tolerant
// of thinking tokens and extra text before/after the JSON block.
func parseResponseMood(raw string) (response, mood string) {
cleaned := strings.TrimSpace(raw)
start := strings.Index(cleaned, "{")
end := strings.LastIndex(cleaned, "}")
if start < 0 || end < 0 || end <= start {
return "", ""
}
var parsed struct {
Response string `json:"response"`
Mood string `json:"mood"`
}
if err := json.Unmarshal([]byte(cleaned[start:end+1]), &parsed); err != nil {
return "", ""
}
return parsed.Response, parsed.Mood
}
// replyContext renders the decision into a compact RU description for the model.
func replyContext(d router.Decision) string {
switch d.Intent {
case router.IntentFact:
return "записала факт: " + d.Slots.Key + " " + d.Slots.Value
case router.IntentNote:
return "сохранила заметку: " + d.Slots.Text
case router.IntentReminder:
return "поставила напоминание: " + d.Slots.Text
default:
return string(d.Intent) + ": " + d.Slots.Text
}
}