infra: migrate application from Mac mini to GPU server

- Integrate ollama + ai-gateway into root docker-compose.yml
  (NVIDIA GPU runtime, single compose for all services)
- Change NAS mount from SMB (NAS_SMB_PATH) to NFS (NAS_NFS_PATH)
  Default: /mnt/nas/Document_Server (fstab registered on GPU server)
- Update config.yaml AI endpoints:
  primary → Mac mini MLX via Tailscale (100.76.254.116:8800)
  fallback/embedding/vision/rerank → ollama (same Docker network)
  gateway → ai-gateway (same Docker network)
- Update credentials.env.example (remove GPU_SERVER_IP, add NFS path)
- Mark gpu-server/docker-compose.yml as deprecated
- Update CLAUDE.md network diagram and AI model config
- Update architecture.md, deploy.md, devlog.md for GPU server as main
- Caddyfile: auto_https off, HTTP only (TLS at upstream proxy)
- Caddy port: 127.0.0.1:8080:80 (localhost only)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

CLAUDE.md

@@ -27,25 +27,26 @@ Mac mini M4 Pro를 애플리케이션 서버, Synology NAS를 파일 저장소,
 ## 네트워크 환경
 
 ```
-Mac mini M4 Pro (애플리케이션 서버):
-  - Docker Compose: FastAPI(:8000), PostgreSQL(:5432), kordoc(:3100), Caddy(:80,:443)
-  - MLX Server: http://localhost:8800/v1/chat/completions (Qwen3.5-35B-A3B)
-  - 외부 접근: pkm.hyungi.net (Caddy 프록시)
+GPU 서버 (RTX 4070 Ti Super, Ubuntu, 메인 서버):
+  - Docker Compose: FastAPI(:8000), PostgreSQL(:5432), kordoc(:3100),
+    Caddy(:8080 HTTP only), Ollama(:11434), AI Gateway(:8081), frontend(:3000)
+  - NFS 마운트: /mnt/nas/Document_Server → NAS /volume4/Document_Server
+  - 외부 접근: document.hyungi.net (앞단 프록시 → Caddy)
+  - 로컬 IP: 192.168.1.186
+
+Mac mini M4 Pro (AI 서버):
+  - MLX Server: http://100.76.254.116:8800/v1/chat/completions (Qwen3.5-35B-A3B)
+  - Tailscale IP: 100.76.254.116
 
 Synology NAS (DS1525+):
   - 도메인: ds1525.hyungi.net
   - Tailscale IP: 100.101.79.37
   - 포트: 15001
   - 파일 원본: /volume4/Document_Server/PKM/
+  - NFS export → GPU 서버
   - Synology Office: 문서 편집/미리보기
   - Synology Calendar: CalDAV 태스크 관리 (OmniFocus 대체)
   - MailPlus: IMAP(993) + SMTP(465)
-
-GPU 서버 (RTX 4070 Ti Super):
-  - AI Gateway: http://gpu-server:8080 (모델 라우팅, 폴백, 비용 제어)
-  - nomic-embed-text: 벡터 임베딩
-  - Qwen2.5-VL-7B: 이미지/도면 OCR
-  - bge-reranker-v2-m3: RAG 리랭킹
 ```
 
 ## 인증 정보
@@ -57,22 +58,22 @@ GPU 서버 (RTX 4070 Ti Super):
 ## AI 모델 구성
 
 ```
-Primary (Mac mini MLX, 상시, 무료):
+Primary (Mac mini MLX, Tailscale 경유, 상시, 무료):
   mlx-community/Qwen3.5-35B-A3B-4bit — 분류, 태그, 요약
-  → http://localhost:8800/v1/chat/completions
+  → http://100.76.254.116:8800/v1/chat/completions
 
-Fallback (GPU Ollama, MLX 장애 시):
+Fallback (GPU Ollama, 같은 Docker 네트워크, MLX 장애 시):
   qwen3.5:35b-a3b
-  → http://gpu-server:11434/v1/chat/completions
+  → http://ollama:11434/v1/chat/completions
 
 Premium (Claude API, 종량제, 수동 트리거만):
   claude-sonnet — 복잡한 분석, 장문 처리
   → 일일 한도 $5, require_explicit_trigger: true
 
-Embedding (GPU 서버 전용):
-  nomic-embed-text → 벡터 임베딩
-  Qwen2.5-VL-7B → 이미지/도면 OCR
-  bge-reranker-v2-m3 → RAG 리랭킹
+Embedding (GPU Ollama, 같은 Docker 네트워크):
+  nomic-embed-text → 벡터 임베딩 → http://ollama:11434/api/embeddings
+  Qwen2.5-VL-7B → 이미지/도면 OCR → http://ollama:11434/api/generate
+  bge-reranker-v2-m3 → RAG 리랭킹 → http://ollama:11434/api/rerank
 ```
 
 ## 프로젝트 구조
@@ -120,21 +121,16 @@ hyungi_Document_Server/
 ## 개발/배포 워크플로우
 
 ```
-MacBook Pro (개발) → Gitea push → 서버에서 pull
+MacBook Pro (개발) → Gitea push → GPU 서버에서 pull
 
 개발:
   cd ~/Documents/code/hyungi_Document_Server/
   # 코드 작성 → git commit & push
 
-Mac mini 배포:
+GPU 서버 배포 (메인):
   cd ~/Documents/code/hyungi_Document_Server/
   git pull
   docker compose up -d
-
-GPU 서버 배포:
-  cd ~/Documents/code/hyungi_Document_Server/gpu-server/
-  git pull
-  docker compose up -d
 ```
 
 ## v1 코드 참조