chore(release): v0.3.1 — Cut F (멀티모달 vision AI)

- F24 promoted ( v0.3.1 Cut F — Ollama vision 모델 capability detection + AiWorker integration)
- version 0.3.0 → 0.3.1 (semver patch — 새 기능, 기존 영향 X)
- 단위 679 → 710 (+31): VisionDetect 9 + SettingsService 4 + visionPrompt 2 + LocalOllamaProvider vision 3 + AiWorker vision 3 + IPC 5 + UI 4 + ImportService helper fix 5 (Cut E gap)
- typecheck 0 errors
- 자동 fallback (caption→text) + 'skipped' enum deferred v0.3.2+
This commit is contained in:
altair823
2026-05-10 05:02:10 +09:00
parent 7468217460
commit 7b536409a8
3 changed files with 6 additions and 6 deletions

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@@ -1787,9 +1787,9 @@ app.on('activate', () => {
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## F24. 이미지 멀티모달 AI 분석 (🌱 raw — v0.2.8/v0.3 후보, capability gated)
## F24. 이미지 멀티모달 AI 분석 (✅ promoted v0.3.1 Cut F)
**진행 상태:** 🌱 raw — Ollama vision 모델 (llava / llama3.2-vision / gemma3-multimodal 등) 활용. 사용자 표현: "가능할 경우만 하면 될 것 같다" — capability detection + opt-in 명시.
**진행 상태:** ✅ promoted v0.3.1 Cut F — Ollama vision 모델 (gemma3 family default) 활용. capability detection (app launch + manual refresh) + Configure UI dropdown + AiWorker vision integration (5MB cap + base64 변환). 자동 fallback (caption → text) + 'skipped' enum deferred v0.3.2+. 단위 679 → 710. dogfood: vision 결과 정확도 + 한국어 token 정확도 검증.
**발견:** 2026-05-09 v0.2.7 release 후 본인 dogfood. F22 (이미지 렌더링) + F23 (Ollama-less 모드) 와 강하게 연관.