b1bed4d5ca
[03-Developer] #260 in-app tool calling (Gemma 4 multi-turn)
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ADR-0005 in-process tool runtime — 6 tools (catalog 2 + tracker 2 +
habit 2), ToolDispatcher with JSON-schema validation + modal ConfirmGate
for destructive ops, multi-turn LlmChatSession abstraction wired to
flutter_gemma 0.16.5 (ToolChoice.auto), ChatSessionController with
MAX_TURNS=4 safety + 8-turn history hint, ChatScreen entry behind AI
opt-in. R3/R7/R8 enforced inside handlers. 41 new tests (envelope,
catalog/tracker/habit tools, dispatcher, controller loop) — 151 total
passing.
Refs #260
2026-06-15 10:42:43 +09:00
1b90f58585
[06-Reviewer] #218 sticky cache 수정 + reference doc nit 3건
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코드 결함 1건 + 문서 정확성 nit 3건. 사용자 동작에 영향 있는 건 (1)
번만, 나머지는 문서 정정.
(1) _LazyLlmService._delegate sticky cache 수정 (main.dart)
- 기존: 첫 호출 시점에 잡힌 delegate (Mock vs Gemma) 가 앱 재시작까지
유지 — 옵트인 OFF 상태에서 첫 suggestFrame 호출 → Mock 잡힘 → 사용자
옵트인 ON + 다운로드 완료 후에도 같은 Mock 만 반환 (사용자는 AI 가
켜진 줄 알고 mock 응답 받음).
- 수정: 매 _resolve() 호출마다 checkAvailability 재평가. 캐시는
(Gemma↔Mock 종류) + (Gemma 의 modelPath) 모두 일치할 때만 재사용 →
state 변화 시 자동 교체. flutter_gemma installModel 자체가
idempotent 라 반복 resolve 비용 무시 가능.
(2) reference doc nit 3건 — 04-QA round 2 가 08-Documenter 로 인계한
nit 를 Reviewer 가 직접 정정:
- L184: "device_info_plus 로 systemFeatures / totalMem 조회" → 실
구현은 MethodChannel `life_helper/device_caps`. device_info_plus
는 deps 에 있지만 4GB 임계 측정엔 미사용 (isLowRamDevice 는 ~1GB).
- L186: F1 후속 이슈 번호 "#222 등" → "#219 별도 이슈".
- L191: follow-up 매핑 — 임의 "#219 ProGuard rules 정제" 항목 제거.
Planner OOS 기준 #219=F1 unload, #220=F2 purge, #221=AC10 corpus,
#222=production keystore 로 정정.
검증: flutter analyze 무이슈, flutter test 88/88 통과.
Refs #218
2026-06-12 16:09:09 +09:00
9a9eb2abd5
[Developer] #218 Real Gemma 4 E2B integration via flutter_gemma 0.16.5
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Implements the OQ-1 follow-up to #215 v0.2.0: replace the placeholder
GemmaLlmService stub with a real flutter_gemma 0.16.5 backend driving
Gemma 4 E2B (litert-community/gemma-4-E2B-it-litert-lm, 2.41GB).
Highlights:
- GemmaLlmService.load → FlutterGemma.initialize + installModel.fromFile +
getActiveModel; idempotent + FileSystemException on missing file.
- generateStructured uses Gemma 4 native function calling via
createChat(tools: [Tool(...)], toolChoice: required). Stream parsed by
collectFunctionCall — first FCR wins, ParallelFCR first-call wins,
TextResponse/ThinkingResponse skipped, errors sanitized to prevent
prompt leakage.
- main.dart wires _LazyLlmService adapter that resolves to GemmaLlmService
when ModelLifecycle reports ready, MockLlmService otherwise.
- ai_providers.dart pins real model URL + SHA-256 (181938...39a63c).
- F2 hardening: ModelLifecycle.purge wraps each delete + meta remove in
try/catch so a single OS-level flake cannot block opt-out.
- Android: INTERNET / FOREGROUND_SERVICE / POST_NOTIFICATIONS permissions
+ R8 proguard-rules.pro keeping MediaPipe / LiteRT / TFLite / protobuf
JNI entry points (release builds otherwise crash on first inference).
Design-First: fn-gemma_llm_service.md updated to v2 — §C
(_appendSchemaInstruction) deprecated after reading flutter_gemma
0.16.5 source (Gemma 4 SDK injects tool declarations via template;
prompt-side append would double-wrap).
Tests:
- 10 new unit tests for collectFunctionCall covering all 8 fn-spec
cases + 2 ParallelFunctionCallResponse paths.
- All 81 existing tests still pass.
- flutter analyze: 0 issues.
Refs #218
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-06-12 15:18:08 +09:00
6ab4c0da7d
[Developer] #215 AI frame-suggest vertical slice (mock LlmService)
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설계서대로 구현. flutter_gemma 실제 통합은 OQ-1 (모델 URL+SHA) 확정 후.
v1은 LlmService 추상 + ModelLifecycle (다운로드/SHA/purge) + Riverpod
providers + 다이얼로그 + Settings 화면까지. main.dart 가 MockLlmService 를
override 해 모든 경로가 graceful (suggest 결과는 빈 리스트).
추가:
- lib/data/ai/{llm_service,gemma_llm_service,model_lifecycle}.dart
- lib/domain/ai/{frame_candidate,few_shot_builder,parse_response,suggest_frame}.dart
- lib/state/ai_providers.dart (aiSettings + modelAvailability + frameSuggestions)
- lib/ui/screens/settings_screen.dart (opt-in 토글 + 모델 상태 표시)
- lib/ui/widgets/frame_suggestion_dialog.dart (후보 3개 카드 + 다시 시도)
- HabitCreateScreen: "AI 제안" 버튼 (opt-in + ready 일 때만 노출)
- MetaDao.remove(key) 추가 (purge 용)
테스트 31개 신규 추가 (총 62개 통과):
- test/domain/ai/{suggest_frame, few_shot_builder, parse_response}_test.dart
- test/data/ai/model_lifecycle_test.dart (download/SHA/purge/availability)
flutter analyze 0 issue, flutter build apk --debug 통과.
Refs #215
2026-06-12 12:08:25 +09:00
8fe6a8f378
[Developer] #204 Phase 1 MVP — Flutter app skeleton complete
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- Drift 21 tables (8 catalog + 11 user + habit_dose_variants + meta_kv)
with R1~R10 CHECK constraints and 19 indexes
- 8 hand-crafted seed JSON catalogs in app/assets/seed/
(refs 84, protocols 34, methodologies 21, frame_patterns 30,
reward_menu_items 30, break_protocols 8, common_frames 5, diet_patterns 5)
- 6 domain functions: recommend_variant, compute_streak,
validate_frame_level, active_habit_quota, weekly_minimum_ratio,
seed_importer (transactional, idempotent)
- 4 vertical-slice Riverpod screens: HabitList, HabitCreate, CheckIn, Streak
- 31 unit tests passing; flutter analyze clean
- OQ-5 streak semantics: missing entry ≠ explicit blank
(missing = end of history; only TrackerValue.blank triggers Never-miss-twice)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-06-12 10:33:03 +09:00
