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[**이슈**](https://github.com/claudianus/kakaotalk-chat-analyzer/issues)\n\n```bash\nnpx kcachat@latest\n```\n\n[Node.js 22+](https://nodejs.org/) · 설치 없이 `npx` · CSV 경로 생략 가능 · [`--local`](#업로드-없이-내-pc에만)\n\n<table>\n  <tr>\n    <td align=\"center\" width=\"25%\"><strong>Wrapped</strong><br><img src=\"docs/assets/demo/wrapped.png\" alt=\"Wrapped 요약\" width=\"100%\" /></td>\n    <td align=\"center\" width=\"25%\"><strong>Story Deck</strong><br><img src=\"docs/assets/demo/archetype.png\" alt=\"방 아키타입\" width=\"100%\" /></td>\n    <td align=\"center\" width=\"25%\"><strong>① 핵심 숫자</strong><br><img src=\"docs/assets/demo/facts.png\" alt=\"핵심 지표\" width=\"100%\" /></td>\n    <td align=\"center\" width=\"25%\"><strong>차트</strong><br><img src=\"docs/assets/demo/charts-viz.png\" alt=\"차트\" width=\"100%\" /></td>\n  </tr>\n</table>\n\n<p><sub><a href=\"https://claudianus.github.io/kakaotalk-chat-analyzer/#demo\">리포트 미리보기 전체</a> (13장 · 탭하면 크게 보기)</sub></p>\n\n</div>\n\n---\n\n## 목차\n\n**처음 쓰는 분**\n\n- [3분 안에 시작하기](#3분-안에-시작하기)\n- [리포트에서 볼 수 있는 것](#리포트에서-볼-수-있는-것)\n- [개인정보·공유 전에](#개인정보공유-전에)\n- [자주 묻는 질문](#자주-묻는-질문)\n\n**더 쓰고 싶을 때**\n\n- [옵션·고급](#옵션고급)\n- [최근 업데이트](#최근-업데이트)\n\n**개발자**\n\n- [개발·기여](#개발기여)\n- [문서 사이트 (GitHub Pages)](#문서-사이트-github-pages)\n\n---\n\n## 3분 안에 시작하기\n\n### 1. 카카오톡에서 CSV 보내기\n\n1. PC 카카오톡에서 채팅방 열기  \n2. **더보기(≡)** → **대화 보내기** → **CSV 보내기**\n\n파일명은 보통 `KakaoTalk_Chat_…` 형태입니다. **원문이 들어 있는 파일**이므로 다른 사람에게 보내기 전에 내용을 확인하세요.\n\n### 2. 터미널에서 한 줄 실행\n\n[Node.js 22+](https://nodejs.org/)가 설치되어 있어야 합니다.\n\n**공유 링크까지 (기본)** — 저장 폴더에서 **가장 최근** CSV를 자동으로 고릅니다:\n\n```bash\nnpx kcachat@latest\n```\n\n**내 PC에만 저장** (인터넷 업로드 없음):\n\n```bash\nnpx kcachat@latest --local\n```\n\n| OS | 자동으로 찾는 폴더 |\n|----|-------------------|\n| **Windows** | `문서\\카카오톡 받은 파일` (없으면 `문서\\카카오톡` → `다운로드`) |\n| **Mac** | `다운로드` (Downloads) |\n\n다른 폴더를 쓰려면: `KCA_CSV_DIR=~/Desktop npx kcachat@latest`\n\n### 3. 링크 열기\n\n터미널에 나온 **URL**을 브라우저에서 열면 Wrapped·차트·키워드가 있는 리포트를 볼 수 있습니다.\n\n- **최초 1회**는 한국어 분석 모델 다운로드로 **1~3분** 걸릴 수 있습니다.  \n- 이미 올린 예전 링크는 **다시 실행·업로드**해야 UI가 바뀝니다.\n\n### 파일을 직접 고르고 싶을 때\n\n```bash\nnpx kcachat@latest latest --list      # 후보 목록\nnpx kcachat@latest latest --pick 1    # 두 번째로 최근 파일\nnpx kcachat@latest \"C:\\경로\\KakaoTalk_Chat_....csv\"\n```\n\n> 카카오 **공식 앱이 아닙니다.** 보내기 CSV 형식이 바뀌면 동작이 깨질 수 있으니 중요한 대화는 백업해 두세요.\n\n---\n\n## 리포트에서 볼 수 있는 것\n\n브라우저만 있으면 되는 **단일 HTML**입니다. **대화 원문은 파일에 넣지 않습니다.** 상단 **섹션 메뉴**로 ⓪~⑥ 구역을 바로 이동할 수 있으며, 모든 콘텐츠는 **v3 통합 카드 시스템**으로 일관되게 배치됩니다.\n\n| 구역 | 내용 |\n|------|------|\n| **⓪ Wrapped** | 한 장면 요약, 챕터·활동 그리드 |\n| **LLM Story Deck** | 방 아키타입(특성 칩), 시즌 에피소드, 캐릭터 카드, 올해의 순간·**관계 드라마**·**키워드 시대**·**그날의 방**·방 밈 등 (통계·키워드만 로컬 LLM에 전달, **원문 미전송**) |\n| **① 핵심 숫자** | 총 메시지·참여자 히어로 + 핵심 **13칸** 지표 (`더 많은 지표` 접기) — 질문 수·독백 비중·대화 세션·최고 활동일·고유 도메인 **신규** |\n| **② 방 이야기** | 규칙/LLM 서사, 인사이트·샵검색·상호작용·주제 제안·**이 날의 핫토픽** (일별 키워드 3개 + 요약) |\n| **③ 분위기·리듬** | 지니·화자 전환·말풍선 맵 등 패턴 지표 |\n| **④ 인터랙티브 차트** | 워드클우드, 요일·시간대, **주제 맵**(graph·키워드·임베딩 3레인), **응답 관계 네트워크**, **감정 롤러코스터**, **토픽 트랜드** |\n| **⑤ 표·막대** | 키워드 순위(빈도/특이어), 참여자 랭킹 (기본 **10명 + 더보기 토글**, 이름 **마스킹**) |\n| **⑥ 용어** | 지표 설명 · 테마 라이트 / 다크 / 시스템 |\n| **모바일** | 390px에서도 축 레이블 겹침 없이 최적화 (시간대 간격·월별 축약·도메인 말줄임표) |\n\nLLM이 RAM 부족 등으로 스킵되어도 **규칙 기반 서사**로 리포트는 완성됩니다. 사이드 카드·`#kca-provenance`에서 **LLM 사용 여부**를 확인할 수 있습니다.\n\n공유 링크(BrewPage 등)로 열어도 되고, `--local`로 만든 `index.html`을 더블클릭해도 됩니다.\n\n---\n\n## 개인정보·공유 전에\n\n- 메시지 **본문은 리포트 HTML에 저장하지 않습니다** (집계에만 사용).\n- 참여자 이름은 기본적으로 **앞·뒤만 남기고 가운데 마스킹**합니다.\n- URL은 **도메인**만 집계합니다.\n- 그래도 **키워드·통계**만으로 방 분위기가 드러날 수 있습니다. 링크를 보내기 전에 한 번 훑어 보세요.\n- `--local`을 쓰면 기본적으로 **외부 업로드 없이** 내 PC에만 저장합니다.\n\n---\n\n## 자주 묻는 질문\n\n**Q. Node.js가 없어요.**  \n→ [nodejs.org](https://nodejs.org/)에서 LTS(22+) 설치 후 터미널을 다시 엽니다.\n\n**Q. CSV를 못 찾는다고 해요.**  \n→ 위 [OS별 폴더](#2-터미널에서-한-줄-실행)에 파일이 있는지 확인하거나, 경로를 직접 넣으세요.\n\n**Q. 첫 실행이 너무 느려요.**  \n→ Kiwi 한국어 모델을 **처음 한 번** 받는 중입니다. 이후에는 훨씬 빨라집니다.\n\n**Q. 친구에게 링크만내면 되나요?**  \n→ 네. 다만 통계·키워드가 방 성격을 드러낼 수 있으니 공유 범위는 스스로 판단하세요.\n\n**Q. 예전에 만든 링크 UI가 옛날이에요.**  \n→ 그 링크는 업로드 당시 HTML이 고정됩니다. CSV로 **다시 실행**해 새 링크를 받으세요.\n\n**Q. `kcachat`와 `kakaotalk-chat-analyzer` 차이?**  \n→ 같은 프로그램입니다. `kcachat`는 짧은 `npx` 이름입니다.\n\n---\n\n## 옵션·고급\n\n<details>\n<summary><strong>CLI 전체 옵션 (펼치기)</strong></summary>\n\n```bash\n# 기본: HTML 생성 후 BrewPage 업로드\nkca ./KakaoTalk_Chat_....csv\n\n# 업로드 없이 로컬만\nkca ./chat.csv --local -o ./report\n\n# 업로드 생략(드라이런)\nkca ./chat.csv --dry-run\n\n# 다른 호스트\nkca ./chat.csv --host tempfile --ttl 30\n\n# 보내기 구조 점검(원문 출력 없음)\nkca inspect ./chat.csv\n\n# 진행률 끄기 / 프로파일\nkca ./chat.csv --no-progress\nkca ./chat.csv --profile --no-worker\n\n# 날짜 필터\nkca ./chat.csv --since 2025-01-01\n\nkca --help\n```\n\n업로드가 실패해도 **로컬 `index.html`은 남습니다.**\n\n</details>\n\n<details>\n<summary><strong>분석 preset·기능 (0.18+)</strong></summary>\n\n| preset | 용도 | 90k 메시지 목표 | 시맨틱 | 감정 | LLM |\n|--------|------|-----------------|--------|------|-----|\n| `speed` | RAM·시간 최소 | ~3분 | 끔 | 끔 | 자동( RAM 허용 시 최대 Qwen3.5 ) |\n| `balanced` | 기본 권장 | ~5분 | KorSTS / RAM≥16GB·번들 없으면 embed | NSMC | 자동( RAM 허용 시 최대 Qwen3.5 ) |\n| `quality` | 한국어·서사 | ~6분 | KoELECTRA embed (번들 ONNX) | NSMC | 자동( 최소 2B, RAM 허용 시 최대 ) |\n| `ultra` | 품질 최대(32GB+) | ~9분 | embed + 임베딩 1500~1800건 | NSMC + 독성 ML | 자동( 최소 4B ) |\n| `custom` | 기능 직접 지정 | — | env/플래그 | env | 자동( `KCA_LLM=0` 만 끔 ) |\n\n```bash\nkca capabilities                    # RAM·추천 preset\nkca ./chat.csv --preset balanced\nkca ./chat.csv --preset quality --local\nkca ./chat.csv --preset ultra --local\nkca llm pull                        # RAM 기준 자동 최대 Qwen3.5 GGUF\nkca llm pull 4B                     # 수동 size (없으면 분석 시 자동 다운로드)\nKCA_LLM_BACKEND=ollama kca ./chat.csv --preset custom\n```\n\n환경 변수: `KCA_PRESET`, `KCA_SEMANTIC_MODEL`(Hub id 오버라이드), `KCA_PREFER_BUNDLED_SEMANTIC`(기본 on), `KCA_NO_KURE_DOWNLOAD`(quality/ultra KURE zip lazy 끔), `KCA_SENTIMENT_MODEL`, `KCA_LLM`(기본 on, `0`만 끔), `KCA_LLM_MODEL`(0.8B|2B|4B|9B), `KCA_LLM_BACKEND`, `KCA_LLM_GPU`(`auto`|`metal`|`none`, macOS Metal 호환), `KCA_LLM_GRAMMAR`(기본 on, `0`=prompt-only), `KCA_LLM_MIN_FREE_GB`(LLM 재시도 free RAM 하한, 기본 1.5), `KCA_OLLAMA_MODEL`, `KCA_LLM_MOCK`, `KCA_ONNX_GPU`, `KCA_EMBED_BATCH`, `KCA_SENTIMENT_BATCH`, `KCA_KIWI_WORKERS`, `KCA_NO_KIWI_WORKERS`, `KCA_PROFILE_PHASES`, `KCA_BENCH_CSV`, `KCA_KEYWORD_SUMMARY_TOP`, `KCA_SHOP_SEARCH_TOP`, `KCA_NO_ML_AUTO_INSTALL`, `KCA_SKIP_ML_POSTINSTALL`. (macOS 26 Metal tensor 이슈 시 `GGML_METAL_TENSOR_DISABLE=1` — `auto`에서 기본 설정)\n\n**ML ONNX:** `npm install`·첫 분석 시 `kakaotalk-chat-analyzer-models`(감정 NSMC·KoELECTRA 임베딩) 자동 설치. **quality/ultra**·RAM≥14GB면 **KURE-v1**(~2.1GB)·독성 ONNX도 첫 필요 시 GitHub Release에서 **자동 다운로드**(`~/.cache/kakaotalk-chat-analyzer/ml-models`). 수동 export 불필요. 끄기: `KCA_NO_KURE_DOWNLOAD=1`, `KCA_NO_TOXICITY_DOWNLOAD=1`. zip 미배포 시 KURE는 KoELECTRA embed로 폴백.\n\n**속도(품질 유지):** 대용량 CSV는 Kiwi worker pool(`KCA_KIWI_WORKERS`, RAM≥8GB 기본 2–4)·시맨틱/감정을 키워드 패스와 겹쳐 실행. `KCA_PROFILE_PHASES=1`로 단계별 ms. quality에서 GPU 가속: `onnxruntime-node` 설치 후 `KCA_ONNX_GPU=metal`(macOS)·`cuda`(Linux)·`dml`(Windows).\n\n**키워드:** 요약은 `KCA_KEYWORD_SUMMARY_TOP`(기본 12)·**빈도 순**; ④ 차트에서 **빈도/특이어** 탭 전환. 전체 ~120개는 집계 상한.\n\n**주제 맵:** graph(공기 군집)·keyword(상위 키워드 시드)·semantic(임베딩 클러스터) 3레인 RRF 병합 — 대용량 방에서 의미 테마 최대 12장. `KCA_TOPIC_MAX`, `KCA_TOPIC_MIN_THEMES`.\n\n**LLM (자동, `KCA_LLM=0` 제외):** RAM이 허용하는 최대 Qwen3.5(0.8B→9B)로 주제 제목·서사 + Story Deck(방 아키타입·올해의 순간·에피소드·관계 드라마·밈·공유 문구 등, 원문 미전송). node-llama-cpp **JSON Schema grammar**로 출력 형식을 강제(기본 on). LLM 실패 시에도 리포트는 규칙 기반 서사로 완성.\n\n**LLM 문제 해결:** 0.20+ 부터 GGUF 추론은 **자식 프로세스**에서 실행되어 Metal/GGUF 네이티브 크래시(SIGSEGV)가 나도 리포트는 규칙 서사로 **끝까지 완료**됩니다. 크래시 시 CPU·소형 모델로 자동 재시도합니다. free RAM이 매우 낮으면(`KCA_LLM_MIN_FREE_GB` 미만) JSON 재시도만 skip. LLM을 끄려면 `KCA_LLM=0 npx kcachat --local`. 고급: `KCA_LLM_GPU=none`(CPU 고정), `KCA_LLM_MODEL=0.8B`, `KCA_LLM_IN_PROCESS=1`(디버그·비권장). JSON만 끄려면 `KCA_LLM_GRAMMAR=0`.\n\n</details>\n\n<details>\n<summary><strong>성능·키워드·벤치 (개발·파워유저)</strong></summary>\n\n- **스트리밍 파싱**: 대용량 CSV도 RAM에 통째로 올리지 않음  \n- **진행률**: 기본 ON (`--no-progress`로 끔)  \n- **시맨틱 키워드**: 한국어 방 기본 ON (`--no-semantic-keywords`로 끔)  \n- CSV 옆 **`.kca-glossary.txt`**(한 줄에 한 단어) → Kiwi 사용자 사전 반영  \n\n```bash\nnpx kcachat@latest \"./chat.csv\" --profile --no-worker\nnpm run bench:stream -- 100000   # 저장소 클론 후\nnpm run bench:preset             # speed/balanced SLA 스모크\nKCA_BENCH_COMPARE=1 npm run bench:semantic\n```\n\n</details>\n\n**버전 고정:** `npx kakaotalk-chat-analyzer@0.20.0` · 최신은 `kcachat@latest`가 매번 본체를 받습니다. 리포트 사이드 카드·`#kca-provenance`로 실제 생성 버전을 확인할 수 있습니다.\n\n**로컬 개발:**\n\n```bash\ngit clone https://github.com/claudianus/kakaotalk-chat-analyzer.git\ncd kakaotalk-chat-analyzer && npm install && npm run build && npm test\n```\n\n---\n\n## 최근 업데이트\n\n| 버전 | 요약 |\n|------|------|\n| **0.24.84** | **캐릭터·역할·네트워크 UX** — 아키타입·역할 중복 차단·AI 슬롭 필터 · 응답 네트워크 노드/엣지 농도·굵기 계층 복원 |\n| **0.24.83** | **Shot Frame QA 루프** — 최근 스냅샷·이모지/높임법 섹션 분리 · 키워드 막대·모바일 높이 캡 · deck-nav 여백 · `report-shot-audit` 스크립트 |\n| **0.24.82** | **Shot Frame 레이아웃** — 섹션(카드)당 한 화면 스크린샷 친화 · 클러스터 제거·1열 스택 · 차트·리스트 높이 캡 · 데이터 패널 분리 |\n| **0.24.81** | **높임법 분석 UX** — 존칭·반말·판별불가 100% 스택 막대·범례·비율 설명으로 직관성 개선 |\n| **0.24.80** | **감정 롤러코스터·카운트 막대 정렬** — SVG 비율 왜곡(`preserveAspectRatio`)·점 색상 수정 · 도메인·샵검색 등 `bar-row` 그리드 정렬 |\n| **0.24.79** | **가로 막대 일괄 수정** — `display:block` 누락 보강(키워드·토픽·핫토픽 등) · 중첩 `data-observe`로 fill이 `opacity:0`이던 문제(첨부유형·샵검색·도메인 등) |\n| **0.24.78** | **샵검색·카운트 막대 수정** — `renderCountBars` `.bar-fill`에 `display:block` 추가 (샵검색 키워드 등 빈 막대) |\n| **0.24.77** | **참여자·응답속도 막대 수정** — `누가 얼마나 말하나`·`누가 빨리 답하나` 가로 막대가 빈 트랙으로 보이던 CSS(`display:block`) 수정 |\n| **0.24.76** | **차트 가독성** — 워드클라우드 HTML 노이즈 필터·막대 기본 · 스파크라인 막대 폴백 · 네트워크 노드·엣지 강화 |\n| **0.24.75** | **LLM 규칙 fallback·차트 수정** — 하네스 전멸 시 아키타입·불릿 강제 적용 · 워드클라우드 boilerplate 필터·바 폴백 · 감정 100% 중립 빈 상태 |\n| **0.24.74** | **리포트 UX Phase 2** — 전체 vs 최근7일 비교표 · 중복 지표 정리(핵심숫자/인사이트) · 최근7일 참여자 TOP10 · LLM AI 슬롭 검증·하네스 강화 |\n| **0.24.73** | **리포트 UX 밀도·최근 집중** — QHD 폭 상한(1440px) · 기술 지표(재현성·파싱 경고 등) 제거 · 상세정보 접기 · 지금 이 방(24h·7d) · 캐릭터/역할 TOP10 · 한국어 라벨 정리 |\n| **0.24.72** | **리포트 마크다운 렌더 수정** — LLM `**강조**`가 볼드로 표시 · 마스킹 닉네임(`김*철`)과 마크다운 `**` 충돌 방지 · 서사·핫토픽·기억 순간 등 렌더 경로 통일 |\n| **0.24.71** | **SLM 추론 엔진 개선** — JSON 스키마 티어링(minimal/compact/full) · system/user 프롬프트 분리 · 동적 few-shot·출력 skeleton · 모델별 structured 샘플링 |\n| **0.24.70** | **LLM 하네스 Phase 2** — 실패 원인(parse/검증/추론)을 repair 프롬프트 `[수정 지시]`로 피드백 · ajv+jsonrepair 파싱 · maxTokens 2048 · harness 매트릭스·bench 확장 |\n| **0.24.66** | **키워드 중력 추가** — 단어 등장 후 10분 이내 후속 메시지 수로 대화 끌어당김 측정 · 공기 키워드 시각화 · deck-nav 연결 |\n| **0.24.65** | **데이터 기반 Innovation Deck 3종 추가** — 응답 지문(누가 얼마나 빨리 답하는가) · 질문-응답 지도(Q&A 토폴로지) · 급증 핵심 항체(급증일 참여자·키워드·평소 대비) · aggregator 단위 테스트 |\n| **0.24.64** | **리포트 Innovation Deck 품질 개선** — 응답 케미스트리 중복 쌍 제거 · 방 밈/반복 문구 URL 도메인 링크화 · 감정 날씨 점수 기반 5단계 세분화 · CSS 마이크로 개선 |\n| **0.24.63** | **리포트 Innovation Deck 10종 완성** — 히어로 리듬 카드·감정 날씨 스트립·응답 케미스트리·활동·휴식 리듬·방 밈 & 반복 문화 추가 · deck-nav 확장 · 반응형 시각 QA |\n| **0.24.62** | **리포트 Innovation Deck 5종 확장** — 감정 롤러코스터·대화 리듬 & 침묵 지도·참여자 역학·시간대 지문·토픽 플로우 추가 · CSS 마이크로 시각화 · deck-nav 빠른 이동 연결 |\n| **0.24.61** | **리포트 레이아웃 통합** — 기억에 남는 순간·이벤트 스파인 2열 배치 · 참여자 역할 최대 12명+선정 기준 · 말풍선 맵 크기=메시지 건수 · 분위기·리듬·네트워크 차트 정돈 |\n| **0.24.60** | **리포트 UX·존칭 인사이트 개선** — 차트/핫토픽/말풍선 맵 레이아웃 밀도 조정 · provenance/접힘 UI 단순화 · 존칭 판별 표본 수 표시 |\n| **0.24.59** | **리포트 품질 하드닝** — 담화표지/구어 filler 키워드 노출 차단 · LLM 하네스 검증·폴백 provenance · Downloads CSV 품질 matrix/HTML 감사 자동화 |\n| **0.24.58** | **스마트 토픽 트렌드** — 대화 보관 기간에 따라 일간·주간·월간 키워드 차트를 자동 선택 · 대형 화면 리포트 폭 조정 |\n| **0.24.57** | **프리미엄 리포트 리바이벌** — 대형 리포트 레이아웃 붕괴 수정 · full-width 분석 섹션 · 차트 empty state · 결정적 샘플링/시맨틱 라벨 정렬 · viewport QA 강화 |\n| **0.24.2** | **macOS LLM 크래시 수정** — Metal 우선 사용으로 리포트 LLM 서사 네이티브 크래시(Metal/GGUF) 해결 · `kcachat` 0.1.78 |\n| **0.24.1** | **리포트 인사이트 품질 강화** — 대화 근거 기반 핫토픽·기억나는 순간·LLM 서사 품질 게이트 · `kcachat` 0.1.78 |\n| **0.23.0** | **v3 통합 카드 시스템** — 리포트 레이아웃 전면 재설계 · 12개 CSS 토큰 · 5계층 카드 시스템 · OLED 글라스 6종 확장 · 히어로 재설계 · #s-charts 구조화 · 헤딩 계층 정비 · 컬러 토큰화 |\n| **0.22.6** | **프리미엄 리디자인** — 랜딩 페이지·리포트 CSS 전면 개편 · **글라스 2.0** 테마 · **벤토 그리드** 기능 카드 · **인터랙티브 마우스 트래킹** · 접근성 개선 (**focus-visible**, 대비 강화, reduced motion) · light theme 보완 |\n| **0.22.3** | **5개 신규 지표**(질문·독백·세션·피크일·도메인) · **3개 LLM 섹션 활성화**(관계·시대·그날) · **소셜 네트워크 그래프** · **감정 롤러코스터** · **토픽 트랜드** · 참여자 **10명+더보기** · 모바일 **ECharts 최적화** · 네비 번호 연속성 · `insightBullets` 버그 수정 |\n| **0.22.2** | **JSON 필드명 노출** 버그 수정·LLM 출력 필터링 강화·리포트 렌더링 품질 개선 |\n| **0.22.1** | **LLM JSON Grammar Constraint** 핫픽스(Child Process)·**템플릿 잔여물 필터링**·**Few-shot 프롬프트**·리포트 출력 품질 개선 |\n| **0.22.0** | **IBM Granite 97M multilingual R2** 임베딩·**kcELECTRA-toxic-detector** 독성 모델·transformers.js **v4 마이그레이션**·`@huggingface/transformers`·`dtype` API·ONNX 번들 캐시 무결성 검증 |\n| **0.21.3** | macOS **inactive memory 완화**·48GB+ **ultra 자동**·분석 예산 600s·로컬 번들 **HF Hub 폰백 차단**·모델 루트 병합·HF token 이중 전략 |\n| **0.21.2** | KURE ONNX **ml-models-v0.2.1** 우선 다운로드(API→pinned)·models **0.2.1** lock — v0.2.0 404 수정 |\n| **0.21.1** | **KURE·독성 ONNX** 첫 사용 시 Release **자동 다운로드**(CI 업로드)·GitHub API 폴백 URL |\n| **0.21.0** | **`ultra` preset**·quality/ultra **KURE-v1** 로컬 ONNX lazy(Release zip)·KoELECTRA embed 폴백·preset별 시맨틱·독성 ML on(ultra) |\n| **0.20.0** | **LLM child 프로세스 격리** — Metal/GGUF SIGSEGV도 리포트 완료·CPU·소형 모델 자동 재시도·post-ML free RAM GPU 정책 |\n| **0.19.12** | **LLM Story Deck**(아키타입·에피소드·캐릭터·올해의 순간·관계 드라마·방 밈·공유 문구)·**슬림 ① 핵심 숫자**·중복 차트·규칙 페르소나 제거·섹션 ⓪~⑥ 내비 |\n| **0.19.11** | `llm_retry` 예산을 실제 재시도 모델 크기에 맞춤 |\n| **0.19.10** | LLM 재시도 RAM gate·JSON 벤치·테스트 보강 |\n| **0.19.9** | JSON Schema grammar·OOM 방어 — LLM 실패해도 리포트 완성 |\n| **0.19.8** | SLA cap 기준 LLM 예산 skip 완화 |\n| **0.19.7** | 가용 RAM 모델 선택·타임아웃 분리·JSON 재시도 |\n| **0.19.6** | macOS Metal 폴백·로드 시점 RAM 기준 Qwen 선택 |\n| **0.19.5** | KoELECTRA NSMC·embed ONNX npm 번들 자동 설치·독성 lazy zip·Hub 폴백 정리 |\n| **0.19.4** | Qwen3.5 RAM greedy 자동 선택·모든 preset LLM on |\n| **0.18.2** | 주제 맵 3레인(graph·키워드·임베딩) 병합·테마 6~12·LLM `topicProposals` |\n| **0.18.1** | 키워드 빈도/특이어 dual-view·샵검색 통계·dyad 셀 숫자·LLM 인사이트 필드 |\n| **0.18.0** | preset(speed/balanced/quality)·5분 예산 skip·LLM 서사·KLUE 감정·dual-lane 툴팁·CI Playwright |\n| **0.17.2** | `kca llm pull`·provenance `llmUsed`·분석 예산 라우터 |\n| **0.16.6** | 글자 수 랭킹·비속어 패턴 통계·transformers 감정 분석(자동/선택) |\n| **0.16.5** | 상호작용 히트맵: 말 많은 사람 축 상단·지연 로드·로딩 스켈레톤 |\n| **0.16.4** | 대용량 방 키워드: minDf 스케일·메시지 수 우선 정렬·시맨틱은 BM25 후보만 보강 |\n| **0.16.3** | 기본 **품질 우선** 프로필(메인 스레드·시맨틱 샘플 확대·RRF 완화·임베딩 주제). 가속은 `--worker` / `--fast` |\n| **0.16.1** | Windows 기본 CSV 폴더 `문서\\카카오톡 받은 파일` |\n| **0.16.0** | 경로 생략·`latest --list/--pick`·진행률 추정·세션 gap |\n| **0.15.0** | 모바일 참여자 카드·키워드 RRF·오픈채팅 인사이트 |\n| **0.13.8** | burst·주제맵·벤치 UI |\n| **0.13.3** | 리포트에 `kca` 버전(provenance) 표시 |\n\n이전 버전: [Releases](https://github.com/claudianus/kakaotalk-chat-analyzer/releases)\n\n---\n\n## 개발·기여\n\n```bash\nnpm install && npm run build && npm test\n```\n\n유용한 스크립트: `report:qa` · `report:screenshots` · `docs:capture-demo` · `bench:stream`\n\n이슈·PR 환영합니다. 민감한 CSV·토큰은 이슈에 첨부하지 마세요.\n\n**아키텍처 (요약):** CSV 스트림 → 집계(본문 비보관) → 단일 HTML → [선택] BrewPage 등 업로드.\n\n---\n\n## 문서 사이트 (GitHub Pages)\n\n- **공개 URL:** [https://claudianus.github.io/kakaotalk-chat-analyzer/](https://claudianus.github.io/kakaotalk-chat-analyzer/)\n- [`docs/index.html`](docs/index.html) — 시작 명령·OS별 폴더·짧은 팁\n- `main`에 `docs/` 푸시 시 Actions가 배포 · pill 버전: `node scripts/sync-docs-version.mjs`\n\n---\n\n## 라이선스\n\n[MIT License](./LICENSE)\n\n<div align=\"center\">\n\n**Made with care for safer chat analytics** · [@claudianus](https://github.com/claudianus)\n\n</div>\n","readmeFilename":"README.md"}