diff --git a/.env.example b/.env.example
new file mode 100644
index 0000000000000000000000000000000000000000..7fe3db7a17f7dd6ac53d55a64f0b42e98c8f88c5
--- /dev/null
+++ b/.env.example
@@ -0,0 +1,126 @@
+# ═══════════════════════════════════════════════════════════
+# MAC — MBM AI Cloud | Local Server Configuration
+# ═══════════════════════════════════════════════════════════
+# Copy this to .env: cp .env.example .env
+# Then run: docker compose up -d
+# ═══════════════════════════════════════════════════════════
+
+# ── App ───────────────────────────────────────────────────
+MAC_ENV=development
+MAC_HOST=0.0.0.0
+MAC_PORT=8000
+MAC_DEBUG=false
+MAC_SECRET_KEY=change-me-to-random-string
+MAC_CORS_ORIGINS=["*"]
+MAC_WORKERS=4 # Uvicorn worker processes
+
+# ── Network binding ────────────────────────────────────────
+# Set APP_HOST to a specific IP to restrict which interface the app listens on.
+# Leave as 0.0.0.0 to accept connections on all interfaces.
+# The installer sets this to the system's configured static IP.
+APP_HOST=0.0.0.0
+APP_PORT=80
+
+# ── Database (PostgreSQL — persistent storage) ────────────
+DATABASE_URL=postgresql+asyncpg://mac:mac_password@localhost:5432/mac_db
+PGADMIN_PORT=5050
+PGADMIN_DEFAULT_EMAIL=admin@mbm.local
+PGADMIN_DEFAULT_PASSWORD=ChangeThisStrongPassword!
+
+# ── Redis (rate limiting & caching) ──────────────────────
+REDIS_URL=redis://localhost:6379/0
+
+# ── JWT Auth ──────────────────────────────────────────────
+JWT_SECRET_KEY=change-me-jwt-secret-random-string
+JWT_ALGORITHM=HS256
+JWT_ACCESS_TOKEN_EXPIRE_MINUTES=1440
+
+# ── vLLM Local GPU Inference ─────────────────────────────
+# Each model runs its own vLLM instance on a separate port.
+# Docker Compose sets these automatically via service names.
+VLLM_BASE_URL=http://localhost:8001
+VLLM_SPEED_URL=http://localhost:8001
+VLLM_CODE_URL=http://localhost:8002
+VLLM_REASONING_URL=http://localhost:8003
+VLLM_INTELLIGENCE_URL=http://localhost:8004
+VLLM_API_KEY=
+VLLM_TIMEOUT=120 # HTTP timeout (seconds) for LLM requests
+VLLM_HEALTH_TIMEOUT=5 # Timeout for model health checks
+
+# ── Model Registry ────────────────────────────────────────
+# Override the entire model list with a JSON array (leave empty for defaults)
+# Each object needs: id, name, served_name, url_key, category,
+# parameters, context_length, capabilities (list), specialty.
+MAC_MODELS_JSON=
+
+# Only enable specific models from the built-in list (comma-separated IDs)
+# Example: MAC_ENABLED_MODELS=qwen2.5:7b,qwen2.5-coder:7b
+MAC_ENABLED_MODELS=
+
+# Which model ID the "auto" keyword falls back to (empty = first code model)
+MAC_AUTO_FALLBACK=
+
+# Default max_tokens when the client doesn't specify
+MAC_DEFAULT_MAX_TOKENS=2048
+
+# ── Open-source model auto-download (first app use) ─────
+# Set to true to prefetch Hugging Face models into local cache after first use.
+# Limit=0 means all detected open-source model repos.
+MAC_MODEL_AUTO_DOWNLOAD_ON_USE=true
+MAC_MODEL_AUTO_DOWNLOAD_LIMIT=0
+
+# ── Docker Compose vLLM Tuning ────────────────────────────
+# Adjust these to match your GPU VRAM. 24GB GPU example:
+# Speed (7B) ≈ 5GB, Code (7B) ≈ 5GB, Reason (14B) ≈ 9GB → 19GB total
+VLLM_SPEED_MODEL=Qwen/Qwen2.5-7B-Instruct
+VLLM_SPEED_PORT=8001
+VLLM_SPEED_GPU_MEM=0.22
+VLLM_SPEED_MAX_LEN=8192
+
+VLLM_CODE_MODEL=Qwen/Qwen2.5-Coder-7B-Instruct
+VLLM_CODE_PORT=8002
+VLLM_CODE_GPU_MEM=0.22
+VLLM_CODE_MAX_LEN=8192
+
+VLLM_REASON_MODEL=deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
+VLLM_REASON_PORT=8003
+VLLM_REASON_GPU_MEM=0.35
+VLLM_REASON_MAX_LEN=8192
+
+VLLM_DTYPE=auto # auto | float16 | bfloat16
+
+# Intelligence slot (uncomment vllm-intel in docker-compose.yml first)
+# VLLM_INTEL_MODEL=google/gemma-3-27b-it
+# VLLM_INTEL_PORT=8004
+# VLLM_INTEL_GPU_MEM=0.45
+# VLLM_INTEL_MAX_LEN=4096
+
+# ── Whisper / Speech-to-Text ─────────────────────────────
+# Uncomment the whisper service in docker-compose.yml first.
+# Uses OpenAI-compatible /v1/audio/transcriptions endpoint.
+WHISPER_URL=http://localhost:8005
+WHISPER_MODEL=Systran/faster-whisper-small
+WHISPER_TIMEOUT=300
+
+# ── Text-to-Speech ───────────────────────────────────────
+# Uncomment the tts service in docker-compose.yml first.
+# Uses OpenAI-compatible /v1/audio/speech endpoint.
+TTS_URL=http://localhost:8006
+TTS_MODEL=default
+TTS_TIMEOUT=120
+
+# ── Embeddings ────────────────────────────────────────────
+# Optional separate embedding server. Leave empty to use VLLM_BASE_URL.
+EMBEDDING_URL=
+EMBEDDING_MODEL=nomic-embed-text
+EMBEDDING_TIMEOUT=60
+
+# ── Rate Limits ───────────────────────────────────────────
+RATE_LIMIT_REQUESTS_PER_HOUR=100
+RATE_LIMIT_TOKENS_PER_DAY=50000
+
+# ── Qdrant (Vector DB for RAG) ───────────────────────────
+QDRANT_URL=http://localhost:6333
+
+# ── SearXNG (Web Search) ─────────────────────────────────
+SEARXNG_URL=http://localhost:8888
diff --git a/.gitattributes b/.gitattributes
index a6344aac8c09253b3b630fb776ae94478aa0275b..35108eecbba13a9548495fc93242d1ce55266ac4 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -1,35 +1,4 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.wasm filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
+*.exe filter=lfs diff=lfs merge=lfs -text
+build/MAC-Installer/base_library.zip filter=lfs diff=lfs merge=lfs -text
+build/MAC-Installer/MAC-Installer.pkg filter=lfs diff=lfs merge=lfs -text
+build/MAC-Installer/PYZ-00.pyz filter=lfs diff=lfs merge=lfs -text
diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..80dca517e6457881a52e8f76c15f22c023dab040
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,82 @@
+# Byte-compiled
+__pycache__/
+*.py[cod]
+*$py.class
+
+# Virtual environments
+venv/
+.venv/
+env/
+
+# Environment
+.env
+
+# Database
+*.db
+*.db-journal
+
+# IDE
+.vscode/
+.idea/
+*.swp
+*.swo
+
+# OS
+.DS_Store
+Thumbs.db
+
+# Docs build artifacts
+docs/*.pdf
+docs/*.docx
+
+# Frontend build artifacts
+frontend/node_modules/
+frontend/.svelte-kit/
+frontend/build/
+
+# Temp / scratch folders
+delete later/
+
+# PyInstaller build artifacts (keep dist/ for the released EXE)
+build/pyi/
+build/MAC-Installer/
+installer/__pycache__/
+
+# SSL certs (self-signed)
+nginx/ssl/
+
+# Logs
+*.log
+vllm-logs*.txt
+
+# Testing
+.pytest_cache/
+.coverage
+htmlcov/
+
+# Uploads (user content)
+uploads/*
+!uploads/.gitkeep
+
+# Logs
+logs/
+*.log
+
+# Docker volumes
+pgdata/
+redisdata/
+
+# Keys
+*.pem
+*.key
+
+# Local/generated build artifacts
+build/
+dist/*
+!dist/MAC-Installer.exe
+frontend/build/
+installer/build/
+installer/dist/
+
+# Local assistant config
+.claude/
diff --git a/.vscode/settings.json b/.vscode/settings.json
new file mode 100644
index 0000000000000000000000000000000000000000..d84f211717ec18865df0434dbd90365031421b96
--- /dev/null
+++ b/.vscode/settings.json
@@ -0,0 +1,3 @@
+{
+ "python-envs.defaultEnvManager": "ms-python.python:system"
+}
\ No newline at end of file
diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 0000000000000000000000000000000000000000..e2ebe1060b912c3e70cd0f53e6996b4f8696bfed
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,27 @@
+FROM python:3.11-slim
+
+WORKDIR /app
+
+# Install system deps
+RUN apt-get update && apt-get install -y --no-install-recommends curl && rm -rf /var/lib/apt/lists/*
+
+# Install Python deps
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy application code
+COPY alembic.ini .
+COPY alembic/ alembic/
+COPY mac/ mac/
+COPY frontend/ frontend/
+
+# Don't run as root in production
+RUN useradd -m appuser && chown -R appuser:appuser /app
+USER appuser
+
+EXPOSE 8000
+
+HEALTHCHECK --interval=30s --timeout=5s --retries=3 \
+ CMD curl -f http://localhost:8000/api/v1 || exit 1
+
+CMD sh -c "alembic upgrade head && uvicorn mac.main:app --host 0.0.0.0 --port 8000 --workers ${MAC_WORKERS:-4}"
diff --git a/README.md b/README.md
index 8d1116540628df26211029d1174f85cc3aad293a..ad1ca00f42a60e5c204a41ec54815f2aa89ad8f4 100644
--- a/README.md
+++ b/README.md
@@ -1,10 +1,252 @@
----
-title: MAC
-emoji: 💻
-colorFrom: pink
-colorTo: indigo
-sdk: docker
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: MAC - MBM AI Cloud
+emoji: 🤖
+colorFrom: red
+colorTo: blue
+sdk: docker
+pinned: true
+license: mit
+---
+
+
+
+
+
+
MAC — MBM AI Cloud
+
+
+ Self-hosted AI platform for MBM University Jodhpur.
+ Private ChatGPT-style chat, Jupyter-style notebooks, RAG over college documents,
+ face-based attendance, AI exam grading — all running on the college's own GPUs.
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/dist/MAC-Installer.exe b/dist/MAC-Installer.exe
new file mode 100644
index 0000000000000000000000000000000000000000..2bfbf7eb582c910aeea512478f854c7a8a3a2bd3
--- /dev/null
+++ b/dist/MAC-Installer.exe
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c01d907d83babf33d5cf35d00b9359724b5edb688bd169bb5771df39eec313b4
+size 29829754
diff --git a/docker-compose.worker.yml b/docker-compose.worker.yml
new file mode 100644
index 0000000000000000000000000000000000000000..c2683cbb5f3cee655912235e69619a21f6c88cc8
--- /dev/null
+++ b/docker-compose.worker.yml
@@ -0,0 +1,104 @@
+# ═══════════════════════════════════════════════════════════
+# MAC Worker Node — run this on each worker PC
+# Worker PCs run: vLLM (GPU inference) + optional Jupyter
+# PostgreSQL/Redis/Nginx stay on the master node only.
+#
+# Steps:
+# 1. Copy this file + worker_agent.py to the worker PC
+# 2. Create .env.worker with MAC_ENROLL_TOKEN and MAC_MASTER_URL
+# 3. docker compose -f docker-compose.worker.yml up -d
+# 4. Admin approves the node in the MAC cluster panel
+# ═══════════════════════════════════════════════════════════
+
+services:
+
+ # ── vLLM GPU Inference ─────────────────────────────────────
+ vllm:
+ image: vllm/vllm-openai:latest
+ container_name: mac-worker-vllm
+ ports:
+ - "${VLLM_PORT:-8001}:8001"
+ environment:
+ - HF_HOME=/root/.cache/huggingface
+ - HUGGING_FACE_HUB_TOKEN=${HF_TOKEN:-}
+ volumes:
+ - hf-cache:/root/.cache/huggingface
+ command: >
+ --model ${VLLM_MODEL:-Qwen/Qwen2.5-7B-Instruct-AWQ}
+ --port ${VLLM_PORT:-8001}
+ --gpu-memory-utilization ${VLLM_GPU_MEM:-0.85}
+ --max-model-len ${VLLM_MAX_LEN:-8192}
+ --trust-remote-code
+ --enforce-eager
+ --served-model-name ${VLLM_SERVED_NAME:-Qwen/Qwen2.5-7B-Instruct-AWQ}
+ deploy:
+ resources:
+ reservations:
+ devices:
+ - driver: nvidia
+ count: 1
+ capabilities: [gpu]
+ restart: unless-stopped
+ networks:
+ - worker-net
+ healthcheck:
+ test: ["CMD-SHELL", "curl -sf http://localhost:${VLLM_PORT:-8001}/health || exit 1"]
+ interval: 30s
+ timeout: 10s
+ retries: 3
+ start_period: 120s
+
+ # ── Jupyter Kernel Gateway (optional — for notebook offload) ──
+ # Enable by setting ENABLE_NOTEBOOK=1 in .env.worker
+ jupyter:
+ image: jupyter/scipy-notebook:latest
+ container_name: mac-worker-jupyter
+ ports:
+ - "${NOTEBOOK_PORT:-8888}:8888"
+ environment:
+ - JUPYTER_ENABLE_LAB=no
+ command: >
+ jupyter kernelgateway
+ --KernelGatewayApp.ip=0.0.0.0
+ --KernelGatewayApp.port=8888
+ --KernelGatewayApp.allow_origin=*
+ --KernelGatewayApp.auth_token=${JUPYTER_TOKEN:-mac-notebook-token}
+ volumes:
+ - notebooks:/home/jovyan/work
+ restart: unless-stopped
+ networks:
+ - worker-net
+ profiles:
+ - notebook # only starts with: docker compose --profile notebook up
+
+ # ── Worker Agent ───────────────────────────────────────────
+ worker-agent:
+ image: python:3.11-slim
+ container_name: mac-worker-agent
+ working_dir: /app
+ volumes:
+ - ./worker_agent.py:/app/worker_agent.py:ro
+ command: >
+ sh -c "pip install --quiet httpx psutil pynvml && python worker_agent.py"
+ environment:
+ - MAC_MASTER_URL=${MAC_MASTER_URL}
+ - MAC_ENROLL_TOKEN=${MAC_ENROLL_TOKEN:-}
+ - MAC_NODE_TOKEN=${MAC_NODE_TOKEN:-}
+ - MAC_WORKER_NAME=${MAC_WORKER_NAME:-Worker}
+ - MAC_VLLM_PORT=${VLLM_PORT:-8001}
+ - MAC_NOTEBOOK_PORT=${NOTEBOOK_PORT:-}
+ - MAC_TAGS=${MAC_TAGS:-llm}
+ - MAC_HEARTBEAT_SEC=${HEARTBEAT_SEC:-10}
+ network_mode: host # needs to see vLLM on localhost AND reach master
+ restart: unless-stopped
+ depends_on:
+ vllm:
+ condition: service_healthy
+
+volumes:
+ hf-cache:
+ notebooks:
+
+networks:
+ worker-net:
+ driver: bridge
diff --git a/docker-compose.yml b/docker-compose.yml
new file mode 100644
index 0000000000000000000000000000000000000000..652841b9aee8af1f9319efdcb19b2299ebad87aa
--- /dev/null
+++ b/docker-compose.yml
@@ -0,0 +1,226 @@
+# ═══════════════════════════════════════════════════════════
+# MAC — MBM AI Cloud | Local Server Setup (12GB GPU)
+# ═══════════════════════════════════════════════════════════
+# RTX 3060 12GB VRAM — single model at a time strategy.
+# GPU: Qwen2.5-7B chat/code ~ 5GB (gpu_memory_utilization=0.45)
+# CPU: Whisper STT + Piper TTS ~ 1.5GB RAM (no VRAM)
+# Infra: PostgreSQL + Redis + Nginx + Qdrant + SearXNG
+# ═══════════════════════════════════════════════════════════
+
+services:
+
+ # ── MAC API Server ──────────────────────────────────────
+ mac:
+ build: .
+ container_name: mac-api
+ ports:
+ - "${APP_HOST:-0.0.0.0}:8001:8000"
+ env_file: .env
+ environment:
+ - DATABASE_URL=postgresql+asyncpg://mac:mac_password@postgres:5432/mac_db
+ - REDIS_URL=redis://redis:6379/0
+ - VLLM_BASE_URL=http://vllm-speed:8001
+ - VLLM_SPEED_URL=http://vllm-speed:8001
+ - VLLM_CODE_URL=http://vllm-speed:8001
+ - VLLM_REASONING_URL=http://vllm-speed:8001
+ - VLLM_INTELLIGENCE_URL=http://vllm-speed:8001
+ - WHISPER_URL=http://whisper:8000
+ - TTS_URL=http://tts:8000
+ - EMBEDDING_URL=http://vllm-speed:8001
+ - QDRANT_URL=http://qdrant:6333
+ - SEARXNG_URL=http://searxng:8080
+ - MAC_ENABLED_MODELS=qwen2.5:7b,whisper-small,tts-piper
+ depends_on:
+ postgres:
+ condition: service_healthy
+ redis:
+ condition: service_healthy
+ restart: unless-stopped
+ networks:
+ - mac-net
+
+ # ═══════════════════════════════════════════════════════
+ # vLLM GPU INFERENCE — Single model for 12GB GPU
+ # ═══════════════════════════════════════════════════════
+
+ # ── Speed Model: Qwen2.5-7B (handles ALL chat/code/general) ──
+ vllm-speed:
+ image: vllm/vllm-openai:latest
+ container_name: mac-vllm-speed
+ ports:
+ - "${VLLM_SPEED_PORT:-8001}:${VLLM_SPEED_PORT:-8001}"
+ environment:
+ - HF_HOME=/root/.cache/huggingface
+ volumes:
+ - hf-cache:/root/.cache/huggingface
+ command: >
+ --model ${VLLM_SPEED_MODEL:-Qwen/Qwen2.5-7B-Instruct-AWQ}
+ --port ${VLLM_SPEED_PORT:-8001}
+ --gpu-memory-utilization 0.85
+ --max-model-len 8192
+ --trust-remote-code
+ --enforce-eager
+ deploy:
+ resources:
+ reservations:
+ devices:
+ - driver: nvidia
+ count: 1
+ capabilities: [gpu]
+ restart: unless-stopped
+ networks:
+ - mac-net
+
+ # ── Code/Reasoning/Intelligence models DISABLED (12GB GPU) ──
+ # Uncomment when upgrading to 24GB+ GPU
+ # vllm-code:
+ # ...
+ # vllm-reason:
+ # ...
+ # vllm-intel:
+ # ...
+
+ # ═══════════════════════════════════════════════════════
+ # SPEECH & AUDIO SERVICES (CPU — saves GPU for LLM)
+ # ═══════════════════════════════════════════════════════
+
+ # ── Whisper — Speech-to-Text (CPU mode) ────────────────
+ whisper:
+ image: fedirz/faster-whisper-server:latest-cpu
+ container_name: mac-whisper
+ ports:
+ - "${WHISPER_PORT:-8005}:8000"
+ environment:
+ - WHISPER__MODEL=${WHISPER_MODEL:-Systran/faster-whisper-small}
+ - WHISPER__DEVICE=cpu
+ restart: unless-stopped
+ networks:
+ - mac-net
+
+ # ── Piper TTS — Text-to-Speech (CPU, lightweight) ─────
+ # TEMPORARILY DISABLED — image still downloading on slow WiFi
+ # tts:
+ # image: ghcr.io/matatonic/openedai-speech:latest
+ # container_name: mac-tts
+ # ports:
+ # - "${TTS_PORT:-8006}:8000"
+ # volumes:
+ # - tts-voices:/app/voices
+ # restart: unless-stopped
+ # networks:
+ # - mac-net
+
+ # ═══════════════════════════════════════════════════════
+ # INFRASTRUCTURE SERVICES
+ # ═══════════════════════════════════════════════════════
+
+ # ── PostgreSQL — Persistent data store ─────────────────
+ postgres:
+ image: postgres:16-alpine
+ container_name: mac-postgres
+ environment:
+ POSTGRES_USER: mac
+ POSTGRES_PASSWORD: mac_password
+ POSTGRES_DB: mac_db
+ ports:
+ - "5433:5432"
+ volumes:
+ - pgdata:/var/lib/postgresql/data
+ healthcheck:
+ test: ["CMD-SHELL", "pg_isready -U mac -d mac_db"]
+ interval: 5s
+ timeout: 5s
+ retries: 5
+ restart: unless-stopped
+ networks:
+ - mac-net
+
+ # ── pgAdmin — PostgreSQL admin UI (local-only by default) ──
+ pgadmin:
+ image: dpage/pgadmin4:8
+ container_name: mac-pgadmin
+ ports:
+ - "127.0.0.1:${PGADMIN_PORT:-5051}:80"
+ environment:
+ PGADMIN_DEFAULT_EMAIL: ${PGADMIN_DEFAULT_EMAIL:-admin@mbm.ac.in}
+ PGADMIN_DEFAULT_PASSWORD: ${PGADMIN_DEFAULT_PASSWORD:-ChangeThisStrongPassword!}
+ PGADMIN_CONFIG_ENHANCED_COOKIE_PROTECTION: "True"
+ depends_on:
+ postgres:
+ condition: service_healthy
+ volumes:
+ - pgadmin-data:/var/lib/pgadmin
+ restart: unless-stopped
+ networks:
+ - mac-net
+
+ # ── Redis — Rate limiting & caching ────────────────────
+ redis:
+ image: redis:7-alpine
+ container_name: mac-redis
+ ports:
+ - "6380:6379"
+ volumes:
+ - redisdata:/data
+ healthcheck:
+ test: ["CMD", "redis-cli", "ping"]
+ interval: 5s
+ timeout: 5s
+ retries: 5
+ restart: unless-stopped
+ networks:
+ - mac-net
+
+ # ── Nginx — Reverse proxy + SvelteKit frontend ─────────
+ nginx:
+ image: nginx:alpine
+ container_name: mac-nginx
+ ports:
+ - "${APP_HOST:-0.0.0.0}:${APP_PORT:-80}:80"
+ volumes:
+ - ./nginx/nginx.conf:/etc/nginx/nginx.conf:ro
+ - ./frontend/build:/app:ro # SvelteKit static build output
+ depends_on:
+ - mac
+ restart: unless-stopped
+ networks:
+ - mac-net
+
+ # ── Qdrant — Vector DB for RAG ─────────────────────────
+ qdrant:
+ image: qdrant/qdrant:latest
+ container_name: mac-qdrant
+ ports:
+ - "6333:6333"
+ volumes:
+ - qdrantdata:/qdrant/storage
+ restart: unless-stopped
+ networks:
+ - mac-net
+
+ # ── SearXNG — Self-hosted web search ───────────────────
+ searxng:
+ image: searxng/searxng:latest
+ container_name: mac-searxng
+ ports:
+ - "8888:8080"
+ environment:
+ - SEARXNG_BASE_URL=http://localhost:8888/
+ volumes:
+ - searxngdata:/etc/searxng
+ restart: unless-stopped
+ networks:
+ - mac-net
+
+volumes:
+ pgdata:
+ pgadmin-data:
+ redisdata:
+ qdrantdata:
+ searxngdata:
+ hf-cache: # Shared HuggingFace model cache across all vLLM instances
+ tts-voices: # Persisted TTS voice models
+
+networks:
+ mac-net:
+ driver: bridge
diff --git a/docs/ARCHITECTURE.md b/docs/ARCHITECTURE.md
new file mode 100644
index 0000000000000000000000000000000000000000..cdaa5220f8b5482687d0d189b66e39f8a6c15996
--- /dev/null
+++ b/docs/ARCHITECTURE.md
@@ -0,0 +1,536 @@
+# MAC — Architecture Reference
+
+> **Audience:** an AI coding agent (or new engineer) dropped into this repo with no prior context.
+> **Goal:** understand the system end-to-end — every subsystem, the data flow, where state lives, and how the pieces secure and observe each other.
+> Read [README.md](README.md) for the elevator pitch and [MAC-PROGRESS.md](MAC-PROGRESS.md) for the build log. This file is the *map*.
+
+---
+
+## 0. Identity in one paragraph
+
+MAC (MBM AI Cloud) is a **self-hosted, on-prem AI platform** for MBM University Jodhpur. It gives students/faculty a private ChatGPT-style chat, a notebook IDE, RAG over college docs, an attendance system using face capture, an exam copy-check workflow with AI vision + plagiarism detection, and an admin/cluster console — all powered by **open-source LLMs** running on the college's own GPUs. There are no external API calls; vLLM serves models locally, and worker GPUs are added by enrolling them into the cluster.
+
+---
+
+## 1. Top-level topology
+
+```
+┌────────────────────────────────────────────────────────────────┐
+│ CLIENTS │
+│ • Web (SvelteKit PWA, served by Nginx in prod) │
+│ • API consumers (curl / Python SDK / scripts) │
+└──────────────────────────┬─────────────────────────────────────┘
+ │ HTTPS
+ ▼
+ ┌──────────────────────┐
+ │ NGINX │ ← TLS, gzip, /api → mac, / → static
+ └──────────┬───────────┘
+ │
+ ┌──────────────────┴──────────────────┐
+ ▼ ▼
+┌─────────────────┐ ┌──────────────────────┐
+│ SvelteKit │ │ FastAPI (mac.main) │
+│ static build │ │ /api/v1/* │
+└─────────────────┘ └──────────┬───────────┘
+ │
+ ┌───────────────────────┬───────────────────┼─────────────────────────┐
+ ▼ ▼ ▼ ▼
+┌────────────┐ ┌────────────┐ ┌──────────────┐ ┌────────────────┐
+│ PostgreSQL │ │ Redis │ │ Qdrant │ │ SearXNG │
+│ (primary) │ │ cache / │ │ (RAG vec) │ │ (web search) │
+│ Alembic │ │ bl / rl │ └──────────────┘ └────────────────┘
+└────────────┘ └────────────┘
+
+ ▲ load_balancer.get_best_worker()
+ │
+ ┌───────────────────────┴───────────────────────────────────────────────┐
+ │ MAC CLUSTER (GPU workers, any LAN PC) │
+ │ ┌─────────────────┐ ┌─────────────────┐ ┌────────────────┐ │
+ │ │ vLLM (OpenAI │ │ Jupyter kernel │ │ worker_agent.py│ │
+ │ │ compatible) │ │ gateway (opt.) │ │ (heartbeat) │ │
+ │ └─────────────────┘ └─────────────────┘ └────────────────┘ │
+ └────────────────────────────────────────────────────────────────────────┘
+```
+
+- **Master node** runs FastAPI + Postgres + Redis + Nginx + Qdrant + SearXNG.
+- **Worker nodes** run vLLM + an optional Jupyter kernel gateway, plus [worker_agent.py](worker_agent.py) which self-registers via an enrollment token and sends a heartbeat every 10s (GPU util, VRAM, RAM, CPU).
+- **Routing** is master-side: every user request hits the master API, which uses [mac/services/load_balancer.py](mac/services/load_balancer.py) to score-pick the best worker for an LLM call or notebook kernel.
+
+---
+
+## 2. Repository map (what lives where)
+
+```
+mac/
+ main.py FastAPI app, lifespan (DB init, dev seeds, bg tasks),
+ router mounts under /api/v1, root SPA fallback.
+ config.py Pydantic Settings — every env var + .env loader.
+ database.py Async SQLAlchemy engine + session factory; `Base`.
+ utils/security.py JWT encode/decode + jti generation; password hash.
+ middleware/
+ auth_middleware.py Bearer extractor → JWT | legacy-key | scoped-key → User.
+ rate_limit.py Per-user req/hour + token/day; injects X-RateLimit-*.
+ feature_gate.py feature_required("ai_chat") dependency.
+ models/ SQLAlchemy ORM models (one file per domain).
+ schemas/ Pydantic request/response schemas.
+ services/ Pure business logic, no HTTP — called by routers.
+ routers/ FastAPI routers, thin: validate → call service → return.
+
+frontend/ SvelteKit 2 + Svelte 5 PWA.
+ src/routes/ File-system routing: login, setup, chat, dashboard,
+ admin, cluster, keys, settings, notifications, rag.
+ src/lib/api.js Single fetch wrapper; one export per backend domain.
+ src/lib/stores.js Svelte stores (auth, setup, features, chat, toast).
+ src/lib/i18n.js 19 Indian languages, lazy-loaded strings, RTL support.
+ static/manifest.json PWA manifest; static/sw.js is a no-cache worker.
+
+alembic/ Migration env + versioned revisions.
+nginx/ nginx.conf (HTTP) + nginx.https.conf (TLS).
+docker-compose.yml Master stack.
+docker-compose.worker.yml Worker stack (vLLM + worker_agent).
+worker_agent.py Enrollment + heartbeat agent for a GPU node.
+installer/ Windows installer (PyInstaller) + branding assets.
+tests/ pytest suite.
+```
+
+---
+
+## 3. Request lifecycle (the universal path)
+
+Every authenticated `/api/v1/*` request goes through these layers in order. Knowing this map means you can audit any new endpoint quickly.
+
+```
+HTTP request
+ │
+ ▼
+[1] CORS middleware (mac/main.py — allow_origins from settings)
+ │
+ ▼
+[2] Route handler (FastAPI) (mac/routers/*.py)
+ │ Depends(get_current_user)
+ ▼
+[3] Auth resolver (mac/middleware/auth_middleware.py)
+ │ Bearer token → branch:
+ │ • mac_sk_live_* → legacy API key (User.api_key)
+ │ • mac_sk_* → scoped API key (hashed, scopes, expiry, revocable)
+ │ • else → JWT (verify sig, check exp, check jti blacklist)
+ │ → returns User or raises 401
+ │
+ ▼
+[4] Role guard (optional) require_admin / require_faculty_or_admin
+ │
+ ▼
+[5] Feature gate (optional) feature_required("ai_chat")
+ │ → reads system_config / feature_flags table → 403 if disabled for role
+ │
+ ▼
+[6] Rate limit (optional) check_rate_limit
+ │ • requests/hour from usage_log (per-user)
+ │ • tokens/day from usage_log (per-user)
+ │ • injects X-RateLimit-* into request.state
+ │
+ ▼
+[7] Service layer mac/services/*.py
+ │ Business logic — never imports FastAPI; takes db: AsyncSession.
+ │
+ ▼
+[8] Response → HTTP middleware inject_rate_limit_headers reads request.state
+ and stamps headers onto the response
+```
+
+This separation is the single most important design rule:
+**routers do parsing + auth + I/O orchestration; services do business logic; models do persistence.** Anything calling FastAPI types from a service is a smell.
+
+---
+
+## 4. Identity & access — auth, sessions, keys
+
+There are **three** ways a request authenticates, all collapsed to a `User` by `get_current_user`:
+
+### 4.1 JWT (interactive users)
+- Login: `POST /api/v1/auth/login` with `{roll_number, password}` → `{access_token, refresh_token, user}`.
+- Access token lifetime: `JWT_ACCESS_TOKEN_EXPIRE_MINUTES` (default 1440 = 24h).
+- Every access token carries a `jti` (random UUID) baked into the JWT claims by [mac/utils/security.py](mac/utils/security.py).
+- `POST /api/v1/auth/logout` blacklists the current `jti` in Redis with a TTL equal to remaining token life ([token_blacklist_service.py](mac/services/token_blacklist_service.py)). Refresh tokens are also revoked. Falls back to an in-process set if Redis is unreachable (dev only).
+- The JWT signing secret is **not** read from env in production — it's stored in `system_config` and seeded on first boot by [setup_service.get_or_generate_jwt_secret](mac/services/setup_service.py). This means restarting the app does not invalidate everyone's sessions.
+
+### 4.2 Legacy API keys
+- Format: `mac_sk_live_<48 hex chars>`. Stored on `users.api_key`. One per user.
+- Use case: scripts that need a stable long-lived credential.
+- Resolved before JWT in `auth_middleware` because of the prefix check.
+
+### 4.3 Scoped API keys
+- Format: `mac_sk_`, hashed at rest. Created via `/api/v1/scoped-keys`.
+- Carry: scopes (list of allowed endpoints), optional expiry, label, revoke flag.
+- Resolved by [scoped_key_service.get_key_by_hash](mac/services/scoped_key_service.py).
+- Attached to `user._scoped_key` for downstream scope enforcement.
+
+### 4.4 Roles
+- `admin` | `faculty` | `student`. Enforced at the router layer via `require_admin` / `require_faculty_or_admin` dependencies.
+- Feature flags layer on top: a feature can be enabled globally but restricted to specific roles (see `feature_flags.roles`).
+
+### 4.5 First-run onboarding
+- `GET /api/v1/setup/status` → `{is_first_run, has_jwt_secret, version}`. Frontend uses this to decide whether to show the setup wizard or login.
+- `POST /api/v1/setup/create-admin` provisions the first admin and seals the system.
+
+---
+
+## 5. LLM serving & cluster routing
+
+### 5.1 Model registry — three layers of override
+`mac/services/llm_service.py::_BUILTIN_MODELS` holds the defaults (Qwen2.5 7B, Qwen2.5-Coder 7B/AWQ, DeepSeek-R1, etc.). Each entry knows its `served_name` (HF repo), `category` (`speed | code | reasoning | intelligence`), `capabilities`, and `url_key` pointing at one of `vllm_speed_url | vllm_code_url | …` in `Settings`.
+
+Override priority:
+1. `MAC_MODELS_JSON` env var (a full JSON array) — replaces the registry entirely.
+2. `MAC_ENABLED_MODELS` env var (comma-separated IDs) — filters which built-ins are exposed.
+3. `MAC_AUTO_FALLBACK` — what `model="auto"` resolves to.
+
+### 5.2 The system prompt is forced
+`_inject_system_prompt` in `llm_service` prepends a hard-coded MAC identity prompt to **every** chat completion. This prevents the underlying Qwen/DeepSeek model from claiming to be "Qwen made by Alibaba" — it always says it is MAC, built by MBM University. If the user supplied a system message, MAC's identity is concatenated in front of theirs.
+
+### 5.3 Routing decision (where does this call go?)
+```
+chat request
+ │
+ ▼
+llm_service._resolve_model_cluster(model_id)
+ │
+ ▼
+load_balancer.get_best_worker(db, model_id)
+ │ SELECT WorkerNode JOIN NodeModelDeployment
+ │ WHERE node.status='active' AND deployment.status='ready'
+ │ AND last_heartbeat within 30s
+ │ ORDER BY gpu_util*0.5 + (vram_used/total)*0.3
+ │
+ ├── candidate found → POST http://{node.ip}:{deployment.port}/v1/chat/completions
+ │
+ └── none → fall back to local config (settings.vllm__url)
+```
+
+vLLM speaks the **OpenAI-compatible** API, so the proxy is a near-pass-through with SSE streaming preserved end-to-end.
+
+### 5.4 Cluster lifecycle
+| Event | Endpoint | Auth | Effect |
+|---|---|---|---|
+| Admin mints token | `POST /cluster/enroll-token` | admin JWT | Single-use, expiring `EnrollmentToken` row |
+| Worker registers | `POST /cluster/register` | enroll token | Creates `WorkerNode` (status `pending`) + reports IP, GPU specs |
+| Admin approves | `POST /cluster/nodes/{id}/action {action:"approve"}` | admin | `status → active` |
+| Worker heartbeats | `POST /cluster/heartbeat` | node token | Updates `last_heartbeat`, GPU util, VRAM, CPU, RAM, queue depth — also append-only into `cluster_heartbeats` (time-series for charts) |
+| Worker reports models | (in heartbeat payload) | — | Upserts `NodeModelDeployment` rows |
+| Drain / remove | `POST /cluster/nodes/{id}/action` | admin | Stops new traffic; allows in-flight to finish |
+
+Workers older than 30s without a heartbeat are silently skipped by the balancer — no manual intervention needed if a worker dies.
+
+---
+
+## 6. Notebooks — multi-language code execution
+
+This is the most operationally complex subsystem. The design supports **two backends** and **distributed execution**.
+
+### 6.1 Architecture
+```
+Client (browser)
+ │ WebSocket /ws/notebook/{notebook_id}?token=JWT
+ ▼
+mac/routers/notebook_ws.py
+ │ • verifies JWT (decode_access_token, no DB hit on hot path)
+ │ • registers connection in _connections[notebook_id]
+ ▼
+kernel_manager (mac/services/kernel_manager.py)
+ │ Backend selection at startup:
+ │ _docker_available() → Docker mode
+ │ else → subprocess mode (dev)
+ │
+ ├── DOCKER MODE (production)
+ │ • spawns mac-kernel-{lang} container (image_prefix in config)
+ │ • applies memory + CPU limits from settings
+ │ • optionally attaches GPU (--gpus all) for ML kernels
+ │ • streams stdout/stderr back as JSONL events
+ │
+ ├── SUBPROCESS MODE (dev)
+ │ • runs the language interpreter directly on the host
+ │ • no isolation; only safe for trusted local dev
+ │
+ └── REMOTE WORKER MODE
+ • load_balancer.get_notebook_worker(db) picks a worker with notebook_port
+ • forwards the execute via the worker's Jupyter kernel gateway
+ • output streams back to the master, then to the client
+```
+
+### 6.2 WebSocket protocol
+Defined at the top of [notebook_ws.py](mac/routers/notebook_ws.py):
+
+| Direction | Type | Payload |
+|---|---|---|
+| C→S | `execute` | `{cell_id, code, language}` |
+| C→S | `interrupt` | `{kernel_id}` |
+| C→S | `ping` | — |
+| S→C | `status` | `{cell_id, execution_state: busy\|idle}` |
+| S→C | `stream` | `{cell_id, name: stdout\|stderr, text}` |
+| S→C | `error` | `{cell_id, ename, evalue, traceback[]}` |
+| S→C | `pong` | — |
+
+### 6.3 State & limits
+- `KernelInstance` per session: `id`, `language`, `node_id`, `container_id`, `status`, `last_activity`, `execution_count`.
+- Idle kernels are reaped after `kernel_timeout` seconds (default 120).
+- Max concurrent kernels per node: `kernel_max_per_node` (default 10).
+- Persistent notebook content: `notebooks` table; cells stored as JSON, ordered.
+
+### 6.4 Why a custom protocol and not raw Jupyter?
+Three reasons: (a) we need user-scoped auth via our JWT; (b) we need to fan-out execution across the cluster, not just one local kernel; (c) we want the option to swap kernels for sandboxed runners later without changing the wire format.
+
+---
+
+## 7. RAG — private document search
+
+Pipeline: **upload → chunk → embed → store → retrieve → augment**.
+
+```
+PDF/MD/TXT upload (POST /rag/upload)
+ │
+ ▼
+rag_service.ingest_document
+ │ • text extraction (pypdf for PDF, plain read otherwise)
+ │ • chunk_text(words=512, overlap=50) ← simple word-window
+ │ • for each chunk:
+ │ emb = await llm_service.embed(text) ← uses EMBEDDING_URL or vLLM
+ │ qdrant.upsert(point=(uuid, emb, payload))
+ │ • RAGDocument row in Postgres with chunk count & status
+ ▼
+QUERY TIME (chat with rag context)
+ │
+ ▼
+rag_service.query(question, top_k=5)
+ │ • emb_q = embed(question)
+ │ • qdrant.search(collection, emb_q, top_k)
+ │ • returns chunks + source metadata
+ ▼
+llm_service.chat with messages = [
+ {role:"system", content: MAC_PROMPT + "\n\nContext:\n" + chunks},
+ *user_messages,
+ ]
+```
+
+Collections (`RAGCollection`) namespace documents — e.g. one per subject. Documents (`RAGDocument`) track ownership and indexing status so the UI can show "Indexing 42/120 chunks…".
+
+---
+
+## 8. Attendance — face-based check-in
+
+### 8.1 Models
+- `FaceTemplate` — one per user, holds a face encoding (64-byte hash in dev; pluggable to `face_recognition`/`dlib` for production).
+- `AttendanceSession` — created by faculty: `{branch, section, subject, date, window_minutes}`.
+- `AttendanceRecord` — one per (session, student): `present | absent | late`, captured selfie hash, confidence, timestamp.
+
+### 8.2 Flow
+```
+1. Faculty: POST /attendance/sessions → creates session, returns join token + QR
+2. Student: GET /attendance/active → returns currently open sessions for them
+3. Student: POST /attendance/check-in → uploads base64 selfie
+ server:
+ • decodes image
+ • hashes (sha256) — dedupe replay
+ • computes encoding
+ • compares to stored FaceTemplate
+ • if (match && within window) → AttendanceRecord(present)
+ • else → 401 with reason
+4. Faculty: GET /attendance/sessions/{id}/report → CSV / PDF roster
+```
+
+### 8.3 Anti-cheat heuristics
+- Session has a strict `window_minutes` — late arrivals are recorded as `late`, not `present`.
+- Same selfie hash twice in a session → rejected (replay block).
+- One record per (session, student) — UPSERT prevents stuffing.
+- Production: swap `_compute_face_encoding` for the real `face_recognition.face_encodings()` (the call sites already accept it; only the function body changes).
+
+---
+
+## 9. Copy Check — exam paper evaluation
+
+A faculty workflow that grades scanned answer sheets using vision-capable LLMs and runs cross-paper plagiarism detection. Models in `mac/models/copy_check.py`:
+
+| Model | Role |
+|---|---|
+| `CopyCheckSession` | One exam: subject, class, total_marks, syllabus_text |
+| `CopyCheckSheet` | One student's submission: roll, scanned pages, AI score, feedback |
+| `CopyCheckPlagiarism` | Pairwise similarity between two sheets in the same session |
+
+### 9.1 Flow
+```
+Faculty creates session → uploads syllabus / answer key
+ │
+ ▼
+For each student answer sheet (PDF or image bundle):
+ • file saved under uploads/copy_check/{session_id}/{roll}/
+ • AI vision model reads each page (multimodal LLM)
+ • Service builds a structured prompt: syllabus + answer key + student answer
+ • LLM returns { per_question_marks, total, weakness_summary, suggestions }
+ • CopyCheckSheet upserted with score + JSON feedback
+ │
+ ▼
+Plagiarism pass:
+ • difflib.SequenceMatcher on extracted text per pair within session
+ • CopyCheckPlagiarism row written for (sheet_a, sheet_b, similarity, flagged_passages)
+ │
+ ▼
+Faculty reviews:
+ • per-student PDF report (fpdf2)
+ • plagiarism heatmap
+ • can override AI marks before "publish"
+```
+
+### 9.2 Why the AI doesn't have final authority
+The faculty UI explicitly requires a **"Reviewed & Approved"** flag before any score becomes visible to students. The AI is graded as a *recommendation* — the audit trail records both the AI suggestion and the faculty's override. This is the legal/academic-integrity boundary.
+
+---
+
+## 10. Other domain modules (one-paragraph each)
+
+- **Doubts forum** ([doubts.py](mac/routers/doubts.py)): students post questions; faculty/peers answer; AI generates a draft answer that the asker can accept or replace. Threaded, taggable.
+- **File sharing** ([file_share.py](mac/routers/file_share.py)): admin/faculty upload class materials; per-file access scoping; per-download analytics in `file_downloads`.
+- **Notifications** ([notifications.py](mac/routers/notifications.py)): in-app + Web Push (`pywebpush`); endpoints registered via VAPID; one row per user-notification with read/unread state.
+- **Academic** ([academic.py](mac/routers/academic.py)): branches & sections — used to scope attendance, file sharing, and admin lists.
+- **Doubt copy-check submissions** ([model_submission_service.py](mac/services/model_submission_service.py)): community-trained adapter / LoRA submissions queued for admin review before being published as model registry entries.
+- **Search** ([search.py](mac/routers/search.py) + SearXNG): private metasearch, no Google, no telemetry, returned to the chat as a tool result.
+- **Hardware / Network / System** ([hardware.py](mac/routers/hardware.py), [network.py](mac/routers/network.py), [system.py](mac/routers/system.py)): admin diagnostics — local CPU/GPU/RAM, recommended models for the detected GPU, LAN discovery (`mac/services/discovery.py` UDP broadcast on port 7700), version & update status (`mac/services/updater.py` polls GitHub releases).
+- **Quota** ([quota.py](mac/routers/quota.py)): per-user requests/hour and tokens/day; admin can override per user; default from `RATE_LIMIT_*` env.
+- **Guardrails** ([guardrails.py](mac/routers/guardrails.py) + `guardrail_service`): admin-editable ruleset (banned terms, forbidden topics) applied as a pre-check on chat input and a post-check on model output.
+
+---
+
+## 11. Cross-cutting concerns
+
+### 11.1 Configuration
+**One source of truth:** [mac/config.py](mac/config.py) `Settings(BaseSettings)`. Every value reads from env or `.env`. `_fix_database_url` auto-promotes `postgres://` and `postgresql://` to `postgresql+asyncpg://` and strips `sslmode=` (it's handled in `connect_args` separately for Neon/Supabase). Adding a new tunable means: add a field to `Settings`, document it in `.env.example`, use `settings.your_field` everywhere — never read `os.environ` directly.
+
+### 11.2 Migrations
+Alembic-managed. Two revisions today:
+- `20260426_0001_initial_schema.py` — full original schema.
+- `20260427_0002_session1_tables.py` — feature flags, system_config, branches, sections, cluster_heartbeats, shared_files, file_downloads, video_projects, video_jobs.
+
+In dev (`MAC_ENV=development`), `init_db()` in `lifespan` creates tables idempotently from `Base.metadata`. In prod, you **must** run `alembic upgrade head` before serving traffic; tables are not auto-created. Whenever you add a column to a model, write a new revision.
+
+### 11.3 Background tasks
+Started in `lifespan` and cancelled on shutdown:
+- [updater.background_check_loop](mac/services/updater.py) — polls GitHub for new releases every `MAC_UPDATE_CHECK_INTERVAL_HOURS`.
+- [discovery.start_discovery_server](mac/services/discovery.py) — UDP broadcast listener so worker PCs on the LAN can find the master without manual IP entry.
+
+### 11.4 Caching, blacklisting, rate limits
+All Redis-backed with **graceful in-process fallback**:
+- JWT blacklist → `mac:bl:{jti}` keys with TTL = remaining token life.
+- Rate-limit counters → derived from `usage_log` rows (no Redis needed for counts).
+- Session/feature caches → not implemented yet; designed to live under `mac:cache:*`.
+
+### 11.5 Observability
+Every chat call is logged to `usage_log`: user_id, model_id, tokens_in, tokens_out, latency_ms, status, request_id (`generate_request_id` in `utils/security`). The dashboard route reads these for per-user charts. Cluster heartbeats are append-only into `cluster_heartbeats` so node history charts are just `SELECT … ORDER BY ts`.
+
+---
+
+## 12. Frontend — SvelteKit PWA
+
+### 12.1 Stack
+SvelteKit 2 + Svelte 5 + Tailwind 3 + Vite 6. Built as a static site (`@sveltejs/adapter-static` with `fallback: 'index.html'`) and served by Nginx in production, by Vite dev server with `/api` proxy to the FastAPI port in development.
+
+### 12.2 SPA mode
+The root has `+layout.js` with `export const ssr = false; export const prerender = false;` so the entire app is rendered client-side. This is intentional — it sidesteps hydration issues, and there is no SEO need for an internal college tool.
+
+### 12.3 State
+[src/lib/stores.js](frontend/src/lib/stores.js) holds Svelte stores:
+- `authStore` — `{user, token, refreshToken}`, with `init()` that re-hydrates from `localStorage` and re-fetches `/auth/me`, plus `login`/`logout`.
+- `setupStore` — `is_first_run` flag.
+- `featureStore` — feature flag map for conditional UI.
+- `chatStore` — local conversation history (per-session, not yet server-persisted).
+- `toast` — single-message notifier.
+
+### 12.4 API client
+[src/lib/api.js](frontend/src/lib/api.js) is the *only* place that talks HTTP. One `headers()` helper attaches the bearer token from `localStorage`. Each backend domain (`auth`, `query`, `models`, `cluster`, `rag`, `files`, …) is its own export with named methods. Adding a new endpoint = add a method here, never `fetch()` from a component directly.
+
+### 12.5 Auth/setup gate
+[+layout.svelte](frontend/src/routes/+layout.svelte) boots the app on first paint:
+1. `initLocale()` — detect language from `localStorage` / browser.
+2. `authStore.init()` — restore session.
+3. `checkSetup()` — first-run check.
+4. `loadFeatures()` — fetch flags.
+5. Redirect: first-run → `/setup`, no user on protected route → `/login`, root → `/chat` or `/login`.
+6. Render either `Sidebar + slot` (logged in) or bare `slot` (login/setup).
+
+### 12.6 Internationalisation
+[src/lib/i18n.js](frontend/src/lib/i18n.js) ships **19 Indian languages** with lazy-loaded string maps and an `RTL_LOCALES` set (Urdu) that flips the layout direction. Adding a new locale = add to `SUPPORTED_LOCALES`, drop a translation map, no other file changes.
+
+### 12.7 PWA + service worker
+[static/manifest.json](frontend/static/manifest.json) declares the installable app + shortcuts. [static/sw.js](frontend/static/sw.js) is intentionally **caching-disabled** — every install/activate wipes all caches and there is no `fetch` handler. This was a deliberate decision: caching the SPA shell caused stale-build problems during rapid dev. Re-introduce caching only behind a versioned cache name with a clear invalidation strategy.
+
+---
+
+## 13. Deployment
+
+### 13.1 Master node (single command)
+```bash
+cd frontend && npm install && npm run build && cd ..
+cp .env.example .env # edit secrets
+docker compose up postgres -d
+docker compose run --rm mac alembic upgrade head
+docker compose up -d
+```
+Compose brings up: `mac` (FastAPI), `postgres`, `redis`, `qdrant`, `searxng`, `vllm-speed`, `nginx`. (Whisper/TTS commented out by default.)
+
+### 13.2 Adding a worker
+On master:
+```bash
+curl -X POST http://MASTER:8000/api/v1/cluster/enroll-token \
+ -H "Authorization: Bearer ADMIN_JWT" -d '{"label":"Lab PC 1","expires_hours":24}'
+```
+On the worker PC:
+```bash
+MAC_MASTER_URL=http://MASTER:8000 \
+MAC_ENROLL_TOKEN= \
+MAC_VLLM_PORT=8001 \
+docker compose -f docker-compose.worker.yml up -d
+```
+Then approve in admin → Cluster.
+
+### 13.3 HTTPS
+Drop certs into `nginx/ssl/`, swap the bind-mounted config to `nginx/nginx.https.conf` in `docker-compose.yml`, restart Nginx.
+
+### 13.4 Windows installer
+[installer/build_installer.ps1](installer/build_installer.ps1) builds a one-shot `dist/MAC-Installer.exe` (PyInstaller) that bootstraps Docker Desktop checks, clones/updates the repo, writes a sane `.env` with detected host IP, and starts the master stack. Branding assets are embedded base64 in [installer/embedded_assets.py](installer/embedded_assets.py) so the binary works even if image files are missing at runtime.
+
+---
+
+## 14. Security checklist (what every reviewer should verify)
+
+1. **No external API calls.** `grep -r "openai.com\|api.anthropic\|googleapis" mac/` should be empty. All inference is local.
+2. **JWT secret is not in env in production.** It's seeded in `system_config` on first boot and re-used across restarts.
+3. **JWT carries `jti`** and the auth middleware checks blacklist on every request.
+4. **Every router** requiring auth uses `Depends(get_current_user)` — search for any `@router.*` that doesn't and justify it.
+5. **Role guards** on admin-only operations: `Depends(require_admin)` on token mints, user list, cluster mutations, feature toggles, system restart.
+6. **Rate limits** on user-facing inference endpoints (`/query/*`, `/rag/query`).
+7. **Scoped keys** never logged in full; only the prefix is shown after creation.
+8. **Worker enrollment tokens** are single-use and time-limited (`expires_at` checked on register).
+9. **Heartbeats authenticate by `node_token`**, not by JWT — rotated on every approve/reactivate.
+10. **CORS:** `MAC_CORS_ORIGINS` defaults to `["*"]` for ease of dev; **set explicit origins in prod**.
+11. **Uploads:** `uploads/` is outside the static mount; copy-check sheets and RAG docs are served via authenticated endpoints, never directly.
+12. **WebSocket auth:** `notebook_ws` validates the JWT in the query string before `accept()`. Don't move the accept above the validation.
+
+---
+
+## 15. How to add a new feature (the recipe)
+
+1. **Model:** add a SQLAlchemy class in `mac/models/.py`, import it in `mac/main.py::lifespan` so `Base.metadata` knows.
+2. **Migration:** `alembic revision --autogenerate -m "add "` → review → commit.
+3. **Schema:** Pydantic request/response in `mac/schemas/.py`.
+4. **Service:** pure logic in `mac/services/_service.py`. Takes `db: AsyncSession` and primitive args. No FastAPI types.
+5. **Router:** thin handler in `mac/routers/.py`. Order of `Depends`: `get_db` → `get_current_user` → `require_*` → `feature_required("…")` → `check_rate_limit` (only if user-driven inference). Mount in `mac/main.py`.
+6. **Feature flag:** add a default to `feature_seeder.DEFAULT_FLAGS` so it can be toggled per role from admin.
+7. **API client:** add a method to `frontend/src/lib/api.js` under the matching export.
+8. **Store (if it has UI state):** add to `frontend/src/lib/stores.js`.
+9. **Route:** new directory under `frontend/src/routes//+page.svelte`.
+10. **Sidebar entry:** edit `frontend/src/lib/components/Sidebar.svelte`.
+11. **i18n:** add new strings to `BASE` in `frontend/src/lib/i18n.js`.
+12. **Test:** at least one happy-path + one auth-failure pytest in `tests/`.
+
+Follow this and the system stays consistent. Skip steps and you'll end up with a feature that's invisible to the admin, untranslated, untested, or worse — bypassing the auth chain.
+
+---
+
+*Last updated: 2026-04-27. If you change a subsystem and this file no longer matches reality, update it in the same PR.*
diff --git a/docs/MAC-CONTEXT.md b/docs/MAC-CONTEXT.md
new file mode 100644
index 0000000000000000000000000000000000000000..517e97873b3144aa1519494caf35e258dcde14d6
--- /dev/null
+++ b/docs/MAC-CONTEXT.md
@@ -0,0 +1,883 @@
+# MAC — Full Agent Context File
+> Generated: 2026-04-28
+> Sources: Claude (session knowledge), GitHub Copilot / Antigravity (VS Code agent), VS Code workspace
+
+---
+
+## 1. VS Code / Copilot Agent Session Info (Antigravity)
+
+| Variable | Value |
+|---|---|
+| `ANTIGRAVITY_AGENT` | `github.copilot-chat` |
+| `ANTIGRAVITY_EDITOR_APP_ROOT` | VS Code (Windows) |
+| `ANTIGRAVITY_TRAJECTORY_ID` | `e36c8c56-d0d8-4913-8da2-90176f0c34d3` |
+| `VSCODE_TARGET_SESSION_LOG` | `c:\Users\rampy\AppData\Roaming\Code\User\workspaceStorage\26393181f28fefe9ec94c456e08b07ec\GitHub.copilot-chat\debug-logs\e36c8c56-d0d8-4913-8da2-90176f0c34d3` |
+| `VSCODE_USER_PROMPTS_FOLDER` | `c:\Users\rampy\AppData\Roaming\Code\User\prompts` |
+| Workspace root | `D:\MAC` |
+| OS | Windows |
+| Date | 2026-04-28 |
+
+---
+
+## 2. Project Identity
+
+**MAC** = MBM AI Cloud
+**Owner:** MBM University Jodhpur (internal/institutional)
+**Purpose:** Self-hosted, on-prem AI platform — private ChatGPT-style chat, notebook IDE, RAG over college docs, attendance with face capture, exam copy-check with AI vision + plagiarism detection, and admin/cluster console — all running on the college's own GPUs via vLLM. **No external API calls.**
+
+---
+
+## 3. Stack
+
+| Layer | Technology |
+|---|---|
+| Backend API | FastAPI 0.115 (Python 3.11+) |
+| Database | PostgreSQL 16 + Alembic migrations |
+| Cache / Blacklist / RL | Redis |
+| Vector DB (RAG) | Qdrant |
+| Web search | SearXNG |
+| LLM inference | vLLM (OpenAI-compatible) |
+| Frontend | SvelteKit 2 + Svelte 5 + Tailwind 3 + Vite 6 (PWA) |
+| Reverse proxy | Nginx |
+| Containerisation | Docker Compose |
+| Installer | PyInstaller (Windows) |
+
+---
+
+## 4. Top-Level Topology
+
+```
+CLIENTS (Web PWA / API consumers)
+ │ HTTPS
+ ▼
+ NGINX ← TLS, gzip, /api → mac, / → static SPA
+ │
+ ├── SvelteKit static build
+ │
+ └── FastAPI /api/v1/*
+ │
+ ┌──────────┼──────────┬─────────────────┐
+ ▼ ▼ ▼ ▼
+PostgreSQL Redis Qdrant SearXNG
+(primary) (cache/bl/rl) (RAG vectors) (web search)
+ │
+ │ load_balancer.get_best_worker()
+ ▼
+ MAC CLUSTER (GPU worker nodes on LAN)
+ ├── vLLM (OpenAI-compatible inference)
+ ├── Jupyter kernel gateway (optional)
+ └── worker_agent.py (heartbeat every 10s)
+```
+
+- **Master node:** FastAPI + Postgres + Redis + Nginx + Qdrant + SearXNG
+- **Worker nodes:** vLLM + optional Jupyter gateway + `worker_agent.py`
+- **Routing:** master-side; `load_balancer.py` scores workers by `gpu_util×0.5 + vram_ratio×0.3`; stale threshold = 30 s
+
+---
+
+## 5. Repository Map
+
+```
+mac/
+ main.py FastAPI app, lifespan (DB init, dev seeds, bg tasks),
+ router mounts under /api/v1, root SPA fallback
+ config.py Pydantic Settings — every env var + .env loader
+ database.py Async SQLAlchemy engine + session factory; Base
+ utils/security.py JWT encode/decode + jti generation; password hash
+ middleware/
+ auth_middleware.py Bearer → JWT | legacy-key | scoped-key → User
+ rate_limit.py Per-user req/hour + token/day; X-RateLimit-* headers
+ feature_gate.py feature_required("ai_chat") dependency
+ models/ SQLAlchemy ORM models (one file per domain)
+ schemas/ Pydantic request/response schemas
+ services/ Pure business logic, no HTTP — called by routers
+ routers/ FastAPI routers: validate → call service → return
+
+frontend/
+ src/routes/ File-system routing: login, setup, chat, dashboard,
+ admin, cluster, keys, settings, notifications, rag
+ src/lib/api.js Single fetch wrapper; one export per backend domain
+ src/lib/stores.js Svelte stores (auth, setup, features, chat, toast)
+ src/lib/i18n.js 19 Indian languages, lazy-loaded strings, RTL support
+ static/manifest.json PWA manifest
+ static/sw.js No-cache service worker (intentional)
+
+alembic/ Migration env + versioned revisions
+nginx/ nginx.conf (HTTP) + nginx.https.conf (TLS)
+docker-compose.yml Master stack
+docker-compose.worker.yml Worker stack (vLLM + worker_agent)
+worker_agent.py Enrollment + heartbeat agent for GPU nodes
+installer/ Windows installer (PyInstaller) + branding
+tests/ pytest suite
+```
+
+---
+
+## 6. Request Lifecycle (every /api/v1/* call)
+
+```
+HTTP request
+ [1] CORS middleware
+ [2] FastAPI route handler
+ [3] Auth resolver (auth_middleware.py)
+ mac_sk_live_* → legacy API key
+ mac_sk_* → scoped API key (hashed, scopes, expiry)
+ else → JWT (verify sig, exp, jti blacklist)
+ [4] Role guard require_admin / require_faculty_or_admin
+ [5] Feature gate feature_required("ai_chat") — 403 if disabled
+ [6] Rate limit req/hour + tokens/day from usage_log
+ [7] Service layer business logic (no FastAPI types)
+ [8] Response inject_rate_limit_headers stamps X-RateLimit-*
+```
+
+**Design rule:** routers = parsing + auth + I/O orchestration; services = business logic; models = persistence.
+
+---
+
+## 7. Auth & Identity
+
+### Three auth paths (all collapse to a `User`):
+1. **JWT** — login → `{access_token (jti claim), refresh_token}`. Secret stored in `system_config` (not env). Logout blacklists `jti` in Redis with TTL = remaining life.
+2. **Legacy API key** — `mac_sk_live_<48 hex>`. One per user. Checked first by prefix.
+3. **Scoped API key** — `mac_sk_`, hashed at rest. Has scopes, optional expiry, label.
+
+### Roles: `admin | faculty | student`
+
+### First-run onboarding:
+- `GET /api/v1/setup/status` → `{is_first_run, has_jwt_secret, version}`
+- `POST /api/v1/setup/create-admin` → provisions first admin, seals system
+
+---
+
+## 8. LLM Serving & Cluster Routing
+
+### Model registry (three override layers):
+1. `MAC_MODELS_JSON` env → replaces entire registry
+2. `MAC_ENABLED_MODELS` env → filters built-ins
+3. `MAC_AUTO_FALLBACK` → what `model="auto"` resolves to
+
+Built-in models: Qwen2.5 7B, Qwen2.5-Coder 7B/AWQ, DeepSeek-R1, etc.
+Categories: `speed | code | reasoning | intelligence`
+
+### System prompt is forced:
+`_inject_system_prompt` prepends a hard-coded MAC identity to **every** completion. Model always presents itself as MAC by MBM University, never as Qwen/DeepSeek.
+
+### Routing flow:
+```
+chat request
+ → llm_service._resolve_model_cluster(model_id)
+ → load_balancer.get_best_worker(db, model_id)
+ SELECT WorkerNode JOIN NodeModelDeployment
+ WHERE status='active' AND last_heartbeat within 30s
+ ORDER BY gpu_util*0.5 + vram_ratio*0.3
+ → POST http://{node.ip}:{port}/v1/chat/completions (SSE passthrough)
+ → fallback to local vLLM if no workers
+```
+
+### Cluster lifecycle:
+| Event | Endpoint | Auth |
+|---|---|---|
+| Admin mints token | `POST /cluster/enroll-token` | admin JWT |
+| Worker registers | `POST /cluster/register` | enroll token |
+| Admin approves | `POST /cluster/nodes/{id}/action` | admin JWT |
+| Worker heartbeats | `POST /cluster/heartbeat` | node token |
+| Drain/remove | `POST /cluster/nodes/{id}/action` | admin JWT |
+
+Workers > 30 s without heartbeat are silently skipped by balancer.
+
+---
+
+## 9. Notebooks — Multi-language Code Execution
+
+### Architecture:
+```
+Browser WebSocket /ws/notebook/{id}?token=JWT
+ → notebook_ws.py (JWT verified before accept())
+ → kernel_manager.py
+ Docker mode (prod): mac-kernel-{lang} container, memory+CPU limits, optional GPU
+ Subprocess mode (dev): direct interpreter on host
+ Remote worker mode: forwards to Jupyter kernel gateway on worker node
+```
+
+### WebSocket protocol:
+| Direction | Type | Payload |
+|---|---|---|
+| C→S | `execute` | `{cell_id, code, language}` |
+| C→S | `interrupt` | `{kernel_id}` |
+| S→C | `stream` | `{cell_id, name: stdout\|stderr, text}` |
+| S→C | `error` | `{cell_id, ename, evalue, traceback[]}` |
+| S→C | `status` | `{cell_id, execution_state: busy\|idle}` |
+
+Idle kernels reaped after `kernel_timeout` s (default 120). Max 10 kernels/node.
+
+---
+
+## 10. RAG — Private Document Search
+
+```
+Upload (PDF/MD/TXT)
+ → text extraction (pypdf / plain read)
+ → chunk_text(words=512, overlap=50)
+ → embed each chunk via llm_service.embed()
+ → qdrant.upsert(point=(uuid, embedding, payload))
+ → RAGDocument row in Postgres
+
+Query time:
+ → embed(question) → qdrant.search(top_k=5)
+ → inject chunks as context into system message
+ → LLM responds with augmented answer
+```
+
+`RAGCollection` namespaces documents (e.g., one per subject). `RAGDocument` tracks chunk count + indexing status.
+
+---
+
+## 11. Attendance — Face-based Check-in
+
+1. Faculty creates `AttendanceSession` → `{branch, section, subject, date, window_minutes}`
+2. Student POSTs base64 selfie to `/attendance/check-in`
+3. Server: decodes → sha256 (replay block) → encoding → compare vs `FaceTemplate` → record `present/late`
+4. Faculty exports CSV/PDF roster
+
+Anti-cheat: strict window, replay hash block, one record per (session, student).
+
+---
+
+## 12. Copy Check — Exam Grading
+
+```
+Faculty creates session (syllabus + answer key)
+ → uploads student answer sheets (PDF / image)
+ → AI vision LLM reads each page
+ → returns {per_question_marks, total, feedback}
+ → difflib plagiarism pass across sheets in same session
+ → Faculty reviews, overrides if needed, approves before publish
+```
+
+Models: `CopyCheckSession`, `CopyCheckSheet`, `CopyCheckPlagiarism`
+AI score is a **recommendation** — requires faculty "Reviewed & Approved" flag before students see it.
+
+---
+
+## 13. Other Domain Modules
+
+| Module | Description |
+|---|---|
+| **Doubts forum** | Students post questions; AI drafts answer; faculty/peers reply |
+| **File sharing** | Admin/faculty upload class materials; per-download analytics |
+| **Notifications** | In-app + Web Push (VAPID/pywebpush); read/unread state |
+| **Academic** | Branches & sections — scopes attendance, file sharing, admin lists |
+| **Search** | SearXNG private metasearch; returned as tool result to chat |
+| **Hardware/Network/System** | Admin diagnostics, LAN discovery (UDP port 7700), version/update polling |
+| **Quota** | Per-user req/hour + tokens/day; admin override per user |
+| **Guardrails** | Admin-editable banned terms / forbidden topics; pre + post chat check |
+| **Video** | `VideoProject`/`VideoJob` models exist; router not yet built |
+
+---
+
+## 14. Frontend (SvelteKit PWA)
+
+- **Build:** `@sveltejs/adapter-static` → `fallback: 'index.html'` → pure CSR, no SSR
+- **State:** `authStore`, `chatStore`, `setupStore`, `featureStore`, `toast` in `stores.js`
+- **API client:** `src/lib/api.js` — only place that calls `fetch()`; one export per backend domain
+- **Auth gate:** `+layout.svelte` boots: `initLocale → authStore.init → checkSetup → loadFeatures → redirect`
+- **i18n:** 19 Indian languages, lazy-loaded, RTL support (Urdu)
+- **Service worker:** intentionally no caching — avoids stale-build problems during rapid dev
+
+---
+
+## 15. Alembic Migrations
+
+| Revision | Contents |
+|---|---|
+| `20260426_0001_initial_schema.py` | Full original schema |
+| `20260427_0002_session1_tables.py` | feature_flags, system_config, branches, sections, cluster_heartbeats, shared_files, file_downloads, video_projects, video_jobs |
+| `20260427_0003_file_share_node_columns.py` | node notebook_port and tags columns |
+
+Dev: `MAC_ENV=development` → `init_db()` auto-creates tables.
+Prod: **must** run `alembic upgrade head` before starting; no auto-create.
+
+---
+
+## 16. Configuration (mac/config.py)
+
+All env vars via Pydantic `Settings(BaseSettings)`. Never read `os.environ` directly.
+`_fix_database_url` auto-promotes `postgres://` → `postgresql+asyncpg://`.
+JWT secret: NOT from env in prod — generated once on first boot, stored in `system_config`.
+
+Key env vars:
+```
+DATABASE_URL, REDIS_URL, QDRANT_URL, SEARXNG_URL
+MAC_CORS_ORIGINS (default ["*"] — set explicit origins in prod!)
+MAC_MODELS_JSON, MAC_ENABLED_MODELS, MAC_AUTO_FALLBACK
+JWT_ACCESS_TOKEN_EXPIRE_MINUTES (default 1440 = 24h)
+RATE_LIMIT_REQUESTS_PER_HOUR, RATE_LIMIT_TOKENS_PER_DAY
+MAC_ENV (development | production)
+MAC_UPDATE_CHECK_INTERVAL_HOURS
+```
+
+---
+
+## 17. Security Checklist
+
+1. No external API calls — all inference is local vLLM
+2. JWT secret in `system_config`, not env in production
+3. Every JWT carries `jti`; middleware checks Redis blacklist on every request
+4. Every auth-required router has `Depends(get_current_user)`
+5. Role guards (`require_admin`) on token mints, cluster mutations, feature toggles, system restart
+6. Rate limits on `/query/*` and `/rag/query`
+7. Scoped keys never logged in full — only prefix shown post-creation
+8. Worker enrollment tokens: single-use + time-limited
+9. Heartbeats authenticate via `node_token` (not JWT), rotated on approve/reactivate
+10. CORS: set explicit origins in prod (`MAC_CORS_ORIGINS`)
+11. `uploads/` outside static mount; served via authenticated endpoints only
+12. WebSocket: JWT validated **before** `accept()` in `notebook_ws`
+
+---
+
+## 18. Cross-Cutting Concerns
+
+### Background tasks (started in lifespan):
+- `updater.background_check_loop` — polls GitHub for new releases every N hours
+- `discovery.start_discovery_server` — UDP broadcast on port 7700 for LAN worker discovery
+
+### Redis usage:
+- JWT blacklist: `mac:bl:{jti}` keys with TTL
+- Rate-limit counters: derived from `usage_log` rows
+- Graceful in-process fallback when Redis unreachable (dev only)
+
+### Observability:
+- Every chat call logged to `usage_log`: user_id, model_id, tokens_in, tokens_out, latency_ms, status, request_id
+- Cluster heartbeats append-only in `cluster_heartbeats` → used for node history charts
+
+---
+
+## 19. Deployment Quick-Start
+
+### Master node:
+```bash
+cd frontend && npm install && npm run build && cd ..
+cp .env.example .env # edit DB, Redis, model settings
+docker compose up postgres -d
+docker compose run --rm mac alembic upgrade head
+docker compose up -d
+```
+
+### Worker node:
+```bash
+# On master — mint enrollment token
+curl -X POST http://MASTER:8000/api/v1/cluster/enroll-token \
+ -H "Authorization: Bearer ADMIN_JWT" \
+ -d '{"label":"Lab PC 1","expires_hours":24}'
+
+# On worker PC
+MAC_MASTER_URL=http://MASTER:8000 \
+MAC_ENROLL_TOKEN= \
+MAC_VLLM_PORT=8001 \
+docker compose -f docker-compose.worker.yml up -d
+# Then: approve in MAC admin → Cluster tab
+```
+
+### HTTPS:
+Drop certs into `nginx/ssl/`, swap bind-mount to `nginx/nginx.https.conf`, restart Nginx.
+
+### Windows installer:
+```powershell
+powershell -ExecutionPolicy Bypass -File .\installer\build_installer.ps1
+# → dist/MAC-Installer.exe
+```
+
+### Tests:
+```bash
+pytest # full suite
+pytest -k "not gpu" # CPU-safe subset
+```
+
+---
+
+## 20. How to Add a New Feature (the Recipe)
+
+1. **Model:** SQLAlchemy class in `mac/models/.py`; import in `main.py::lifespan`
+2. **Migration:** `alembic revision --autogenerate -m "add "` → review → commit
+3. **Schema:** Pydantic in `mac/schemas/.py`
+4. **Service:** pure logic in `mac/services/_service.py`; takes `db: AsyncSession`
+5. **Router:** thin handler in `mac/routers/.py`; mount in `mac/main.py`
+6. **Feature flag:** add default to `feature_seeder.DEFAULT_FLAGS`
+7. **API client:** add method to `frontend/src/lib/api.js`
+8. **Store (if UI state):** add to `frontend/src/lib/stores.js`
+9. **Route:** `frontend/src/routes//+page.svelte`
+10. **Sidebar:** edit `frontend/src/lib/components/Sidebar.svelte`
+11. **i18n:** add strings to `BASE` in `frontend/src/lib/i18n.js`
+12. **Test:** happy-path + auth-failure pytest in `tests/`
+
+---
+
+## 21. Build Progress Summary (as of 2026-04-27)
+
+### Completed:
+- ✅ Session 1 — Full backend foundation (DB, migrations, auth, JWT blacklist, scoped keys, feature flags, system_config, setup wizard, cluster, file_share, academic, hardware, network, system routers + services)
+- ✅ Session 2 — Full SvelteKit PWA (all routes: login, setup, chat, dashboard, admin, cluster, keys, settings, notifications, rag), design system, API client, i18n (19 languages), PWA manifest + service worker, Nginx configs (HTTP + HTTPS), Docker Compose (master + worker), `worker_agent.py`
+
+### Remaining / Optional:
+| Item | Priority |
+|---|---|
+| Frontend PWA icons (icon-192.png, icon-512.png, favicon.ico) | Medium |
+| Frontend: silent JWT refresh token flow in `api.js` | Medium |
+| Multi-stage Dockerfile (node build + python + nginx) | Low |
+| Feature flag wiring on `/query/*` routes | Low |
+| HTTPS cert setup for production | Deployment |
+| Video generation router (models exist) | Future |
+
+---
+
+---
+
+## 22. Project Origin — Vision & Architecture Requirements
+
+The project was born from this exact goal:
+
+> "I am building a multi-node GPU cluster using standard PCs over a LAN (connected via Wi-Fi) to provide offline AI services. The goal is to make the entire cluster accessible through one single IP address that provides both an AI Chat interface (Svelte-based) and a Kaggle-like environment for Python notebooks. Additionally, I need to issue custom OpenAI-compatible API keys to students so they can access these models from anywhere in the world."
+
+### Original architecture requirements:
+- **Hardware:** Multiple PCs each with dedicated GPUs. Wi-Fi connected → each PC runs its own model instance (no network model-sharding — latency would kill it)
+- **One IP entry point:** Nginx reverse proxy on Master PC routing `/chat` → local vLLM, `/notebook` → JupyterHub/GPUSTACK on another PC
+- **API Management:** LiteLLM for student API key management, usage limits, OpenAI-compatible endpoint
+- **Global Access:** Cloudflare Tunnel to expose master IP publicly without opening router ports
+- **UI:** Svelte dashboard as primary interface
+
+### Evolution:
+MAC replaced LiteLLM + JupyterHub with a fully custom FastAPI + SvelteKit stack, giving complete control over auth, roles, feature flags, quota, and cluster routing — while preserving the OpenAI-compatible API surface via vLLM.
+
+---
+
+## 23. Session Work Log — What Claude Built (Session 2 Detailed)
+
+### Phase 1 — JWT Blacklist
+
+**Goal:** Prevent token reuse after logout.
+
+Steps taken:
+1. Added `jti` (UUID) claim to every access token in `mac/utils/security.py`
+2. Updated `auth_middleware.py` to check `mac:bl:{jti}` in Redis on every request
+3. Updated `mac/routers/auth.py` logout endpoint to:
+ - Blacklist current `jti` in Redis with TTL = remaining token life
+ - Revoke all refresh tokens for the user
+4. Fallback to in-process set if Redis unreachable (dev only)
+
+### Phase 2 — Distributed Computing Core
+
+**Foundation:** `WorkerNode`, `NodeModelDeployment`, `EnrollmentToken` models were already solid. Built on top.
+
+Steps taken:
+1. Added `notebook_port` and `tags` columns to `WorkerNode` model
+2. Created `mac/services/load_balancer.py` — score-based routing:
+ - `SELECT WorkerNode JOIN NodeModelDeployment WHERE status='active' AND last_heartbeat within 30s`
+ - `ORDER BY gpu_util*0.5 + vram_ratio*0.3`
+ - Returns best worker or `None` (triggers local vLLM fallback)
+3. Updated `mac/services/llm_service.py` → `_resolve_model_cluster` now calls `get_best_worker()` before falling back to local config
+4. Created full `mac/routers/cluster.py` with all endpoints (enroll-token, register, heartbeat, node CRUD, deploy, history)
+5. Created `worker_agent.py` — standalone Python script for worker PCs:
+ - Reads `MAC_MASTER_URL`, `MAC_ENROLL_TOKEN`, `MAC_VLLM_PORT` from env
+ - Self-registers on startup via enrollment token
+ - Sends heartbeats every 10s with GPU/CPU/RAM metrics (`pynvml` + `psutil`)
+ - Queries local vLLM `/v1/models` to report active models
+ - Handles stale/auth errors gracefully
+
+### Phase 3 — Academic + File Share Routers
+
+- Created `mac/routers/academic.py` — full CRUD for branches and sections
+- Created `mac/routers/file_share.py` — admin upload, user download, download stats, delete
+- Created `alembic/versions/20260427_0003_file_share_node_columns.py` — fixes mismatched column names between model and migration (display_name, storage_path, recipient_type, etc.) + adds node notebook_port/tags
+
+### Phase 4 — Migration 0002
+
+`20260427_0002_session1_tables.py` adds:
+- `feature_flags` table
+- `system_config` table
+- `branches`, `sections` tables
+- `cluster_heartbeats` table (time-series, append-only)
+- `shared_files`, `file_downloads` tables
+- `video_projects`, `video_jobs` tables
+- New user columns
+
+### Phase 5 — Frontend Pages
+
+**Checked existing routes, then added:**
+
+1. Updated `frontend/src/lib/components/Sidebar.svelte` — added 6 nav items: RAG, Notifications, API Keys, Settings, Cluster (admin-only)
+2. Updated `frontend/src/lib/api.js` — added `cluster`, `academic`, `files` API exports
+3. Created `frontend/src/routes/cluster/+page.svelte` — node list with live metrics, detail panel, approve/drain/remove, GPU history sparkline, enrollment token generation with setup instructions
+4. Created `frontend/src/routes/keys/+page.svelte` — generate, copy, revoke scoped API keys
+5. Created `frontend/src/routes/settings/+page.svelte` — profile, change password, language picker
+6. Created `frontend/src/routes/notifications/+page.svelte` — notification list with mark-read
+7. Created `frontend/src/routes/rag/+page.svelte` — drag-and-drop document upload + list
+
+### Phase 6 — Infrastructure
+
+- Created `docker-compose.worker.yml` — worker node compose: vLLM + optional Jupyter kernel gateway (`--profile notebook`) + worker-agent
+- Created `nginx/nginx.https.conf` — HTTPS with TLS, HSTS, WebSocket proxy for notebooks
+- Updated `MAC-PROGRESS.md`
+
+### Verification checks run:
+- `btn-secondary` CSS class existence confirmed in `app.css`
+- `__init__.py` in routers is empty → module imports work directly
+- `file_share.py` model vs migration column name mismatch found → fixed in 0003 migration
+- All new router imports in `main.py` verified against existing files
+
+---
+
+## 24. Final Tech Stack (Canonical Reference)
+
+### Backend
+| Package | Purpose |
+|---|---|
+| Python 3.11 | Core language |
+| FastAPI 0.115 | API server |
+| PostgreSQL 16 | Main database (master node only) |
+| Redis 7 | Cache, pub/sub, JWT blacklist |
+| vLLM | LLM inference (GPU workers, OpenAI-compatible) |
+| llama.cpp-python | CPU inference fallback |
+| faster-whisper | Speech-to-text (offline) |
+| piper-tts | Text-to-speech (offline) |
+| ffmpeg-python | Video/audio editing |
+| python-on-whales | Docker Engine API |
+| Alembic | Database migrations |
+| bcrypt | Password hashing |
+| python-jose | JWT encode/decode |
+| qdrant-client | Vector DB client for RAG |
+| httpx | Async HTTP client (LLM proxy, search) |
+| sse-starlette | SSE streaming to browser |
+| pywebpush | Web Push notifications (VAPID) |
+| psutil | CPU/RAM metrics |
+| pynvml (GPUtil) | GPU metrics on worker nodes |
+| fpdf2 | PDF report generation |
+| qrcode | QR code for attendance sessions |
+| py-cpuinfo | Hardware detection |
+
+### Frontend
+| Package | Purpose |
+|---|---|
+| SvelteKit 2 | Framework (compiles to vanilla JS) |
+| Svelte 5 | Compiler |
+| Vite 5 | Build tool |
+| TypeScript | Throughout |
+| TailwindCSS 3 | Styling (CSS variables only) |
+| svelte-i18n | 19 Indian languages offline |
+| CodeMirror 6 | MBM Book code editor |
+| Mermaid.js | Flowcharts in chat |
+| Chart.js | Admin dashboard charts |
+| Lucide Svelte | Icons |
+| marked + highlight.js | Markdown + syntax highlighting |
+| @fontsource/* | Geist + all Indic fonts (bundled) |
+
+### Infrastructure
+| Tool | Purpose |
+|---|---|
+| Docker Compose | All services containerised |
+| Nginx | Reverse proxy, SSL, ports 80/443 |
+| OpenSSL | Self-signed SSL for PWA (LAN only) |
+
+### Installer
+| Tool | Purpose |
+|---|---|
+| Inno Setup 6 | Windows .exe installer |
+| start-mac.bat | One-click server start |
+
+### DevOps
+| Tool | Purpose |
+|---|---|
+| GitHub | Source code + releases |
+| GitHub Actions | Auto-build .exe on version tag push |
+| `mac/VERSION` | Single source of truth for version |
+
+---
+
+## 25. Full Environment Variables Reference (.env.example)
+
+```env
+# App
+MAC_ENV=development
+MAC_HOST=0.0.0.0
+MAC_PORT=8000
+MAC_DEBUG=false
+MAC_SECRET_KEY=change-me
+MAC_CORS_ORIGINS=["*"] # ← set explicit origins in prod!
+MAC_WORKERS=4
+APP_HOST=0.0.0.0
+APP_PORT=80
+
+# Database
+DATABASE_URL=postgresql+asyncpg://mac:mac_password@localhost:5432/mac_db
+
+# Redis
+REDIS_URL=redis://localhost:6379/0
+
+# JWT
+JWT_SECRET_KEY=change-me # ← NOT used in prod; stored in system_config instead
+JWT_ALGORITHM=HS256
+JWT_ACCESS_TOKEN_EXPIRE_MINUTES=1440
+
+# vLLM endpoints
+VLLM_BASE_URL=http://localhost:8001
+VLLM_SPEED_URL=http://localhost:8001
+VLLM_CODE_URL=http://localhost:8002
+VLLM_REASONING_URL=http://localhost:8003
+VLLM_INTELLIGENCE_URL=http://localhost:8004
+VLLM_API_KEY=
+VLLM_TIMEOUT=120
+VLLM_HEALTH_TIMEOUT=5
+
+# Model registry overrides
+MAC_MODELS_JSON= # full JSON array → replaces built-ins
+MAC_ENABLED_MODELS= # comma-separated IDs → filters built-ins
+MAC_AUTO_FALLBACK= # model ID for model="auto"
+MAC_DEFAULT_MAX_TOKENS=2048
+
+# Model auto-download
+MAC_MODEL_AUTO_DOWNLOAD_ON_USE=true
+MAC_MODEL_AUTO_DOWNLOAD_LIMIT=0
+
+# vLLM tuning (per-model)
+VLLM_SPEED_MODEL=Qwen/Qwen2.5-7B-Instruct
+VLLM_SPEED_PORT=8001
+VLLM_SPEED_GPU_MEM=0.22
+VLLM_SPEED_MAX_LEN=8192
+
+VLLM_CODE_MODEL=Qwen/Qwen2.5-Coder-7B-Instruct
+VLLM_CODE_PORT=8002
+VLLM_CODE_GPU_MEM=0.22
+VLLM_CODE_MAX_LEN=8192
+
+VLLM_REASON_MODEL=deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
+VLLM_REASON_PORT=8003
+VLLM_REASON_GPU_MEM=0.35
+VLLM_REASON_MAX_LEN=8192
+
+VLLM_DTYPE=auto
+```
+
+---
+
+## 26. requirements.txt (Pinned)
+
+```
+fastapi==0.115.6
+uvicorn[standard]==0.34.0
+pydantic==2.10.4
+pydantic-settings==2.7.1
+sqlalchemy[asyncio]==2.0.36
+asyncpg==0.30.0
+psycopg2-binary==2.9.10
+alembic==1.14.1
+aiosqlite==0.20.0
+python-jose[cryptography]==3.3.0
+bcrypt==4.2.1
+redis[hiredis]==5.2.1
+httpx==0.28.1
+sse-starlette==2.2.1
+qdrant-client==1.12.1
+huggingface-hub==0.31.2
+python-multipart==0.0.20
+aiofiles==24.1.0
+pywebpush==2.0.1
+psutil==6.1.1
+websockets>=12.0
+GPUtil>=1.4.0
+fpdf2==2.8.2
+py-cpuinfo>=9.0.0
+qrcode[pil]>=7.4.0
+aiohttp>=3.9.0
+cryptography>=42.0.0
+pytest==8.3.4
+pytest-asyncio==0.25.0
+pytest-httpx>=0.30.0
+```
+
+---
+
+## 27. UI Design System — Light Theme (Default)
+
+The app defaults to **light theme**. Dark mode available via toggle (bottom-right of landing page only).
+
+### Color tokens:
+```css
+--page-bg: #FAF9F7; /* warm off-white cream */
+--card-bg: #FFFFFF; /* pure white */
+--surface-2: #F5F4F0; /* slightly warm gray */
+--surface-3: #ECEAE4; /* warmer gray */
+--text-primary: #1A1A1A; /* near black, warm */
+--text-secondary: #666560; /* warm medium gray */
+--text-muted: #999791; /* warm light gray */
+--accent: #D97449; /* coral orange */
+--accent-hover: #C4623D; /* deeper coral */
+--border: rgba(0,0,0,0.12);
+--code-bg: #F0EDE8; /* warm parchment */
+```
+
+### Key UI features to implement / in progress:
+- **MAC title glitch effect** — vanilla JS CSS glitch animation (from previous pretext.js) ported to Svelte
+- **Background hover particle effect** — physics particle canvas (from previous UI), already in `ParticleCanvas.svelte`
+- **Extendable sidebar** — VS Code-style drag-to-resize sidebar panels
+- **Notebook UI** — Kaggle/Colab-style cells with CodeMirror 6
+- **Loader animation** — `delete later/Loader.svelte` — used on any delay (chat response, notebook execution, page load)
+- **MBM→MAC morph animation** — Devanagari letter morph (`delete later/MBM-MAC Globe.html`) — first-time landing page only
+- **Smooth light↔dark transition** — CSS variable swap with transition, toggle button bottom-right on landing only
+
+### Font:
+- Geist (Latin) + all Indic fonts via `@fontsource/*` — bundled offline, no CDN
+
+---
+
+## 28. Notebook Architecture Target
+
+Goal: **Kaggle/Colab-style notebook** that runs on the MAC cluster.
+
+```
+Browser (CodeMirror 6 cell editor)
+ │ WebSocket /ws/notebook/{id}?token=JWT
+ ▼
+notebook_ws.py → kernel_manager.py
+ ├── Docker mode (prod): mac-kernel-{lang} container
+ ├── Subprocess mode (dev): direct interpreter
+ └── Remote worker mode: Jupyter kernel gateway on GPU worker
+```
+
+Multi-language support: Python, JavaScript, SQL (at minimum).
+Kernel lifecycle: idle timeout 120s, max 10 per node.
+Persistent: cell content stored as JSON in `notebooks` table.
+
+---
+
+## 29. Global Access Strategy
+
+For students accessing from outside LAN:
+- **Cloudflare Tunnel** (`cloudflared`) on master PC → exposes local HTTPS to public domain
+- No router port-forwarding needed
+- Students use OpenAI-compatible API keys (`mac_sk_*`) against the public domain
+- Same keys work on LAN (direct) and WAN (via tunnel) — same auth chain
+
+---
+
+## 30. Source Files with No .claude or .vscode Config
+
+Checked: no `.claude/` directory, no `CLAUDE.md`, no `.vscode/settings.json` or `.vscode/extensions.json` exist in `D:\MAC`.
+All Claude session context lives in this file + `ARCHITECTURE.md` + `MAC-PROGRESS.md`.
+VS Code Copilot context: Antigravity trajectory `e36c8c56-d0d8-4913-8da2-90176f0c34d3`, session log at `c:\Users\rampy\AppData\Roaming\Code\User\workspaceStorage\26393181f28fefe9ec94c456e08b07ec\GitHub.copilot-chat\debug-logs\e36c8c56-d0d8-4913-8da2-90176f0c34d3`.
+
+---
+
+---
+
+## 31. Reference Codebases on Disk
+
+Three reference repos exist locally that informed MAC's design and are the source for UI features Claude was asked to port:
+
+### A. `D:\MBMmac\MAC\frontend` — Original Vanilla JS Frontend
+The **original MAC frontend** before the SvelteKit rewrite. This is the source of the UI features that must be ported to Svelte:
+- `frontend/app.js` — ~4782 lines, entire frontend in one file
+- `frontend/style.css` — black & white premium dark theme
+- `frontend/index.html` — SPA shell with Chart.js, highlight.js, Mermaid.js loaded from `/static/libs/`
+- `frontend/libs/` — bundled JS: chart.umd, highlight.min, mermaid.min, hljs language packs
+- **Has the MAC glitch text effect, background hover particle animation, and sidebar drag/expand** — must be ported to Svelte
+
+### B. `D:\MBMmac\Mbmbook\frontend` — MBMBook Notebook UI (React/TypeScript)
+The **notebook UI reference** — Kaggle/Colab-style built in React + Monaco Editor + TypeScript:
+```
+src/
+ App.tsx
+ components/
+ AnimatedTitle.tsx ← Animated MAC/MBM title
+ CellOutput.tsx ← Notebook cell output rendering
+ ClusterPanel.tsx ← GPU cluster management panel
+ NotebookCell.tsx ← Individual notebook cell (CodeMirror/Monaco)
+ NotebookView.tsx ← Full notebook layout
+ ResizeHandle.tsx ← VS Code-style drag-to-resize panels
+ Sidebar.tsx ← Navigation sidebar
+ ThemeToggle.tsx ← Light/dark toggle
+ Toolbar.tsx ← Notebook toolbar
+ services/
+ stores/
+ monaco-setup.ts
+```
+Stack: React + TypeScript + Vite + Tailwind + Monaco Editor
+**Port the notebook UI patterns (ResizeHandle, NotebookCell, CellOutput) to Svelte.**
+
+### C. `D:\MAC-ref` — Original Multi-Node Reference Repo
+The original MAC codebase from before `D:\mac2`. Has 5 docker-compose files for the multi-node cluster topology:
+- `docker-compose.control-node.yml`
+- `docker-compose.pc1-gpu.yml`
+- `docker-compose.pc2-app.yml`
+- `docker-compose.worker-node.yml`
+- `docker-compose.yml`
+Also has: `worker-agent.py`, `kernels/`, `examples/`, `test_students.csv/json`, `START-MAC.bat`, `START-WIFI.bat`, `setup-firewall.ps1`
+
+### D. MAC-PROJECT-SAMJHO.md
+Hinglish explanation doc at `D:\MAC-PROJECT-SAMJHO.md` — explains the full project in Hindi/English for onboarding. Describes the original 8-table schema (student_registry, users, refresh_tokens, usage_logs, guardrail_rules, quota_overrides, rag_collections, rag_documents).
+
+### E. GitHub Repos
+- **`https://github.com/mbmuniversity2026/MAC`** — target push repo (Claude attempted push on 2026-04-27, failed — not a git repo at `D:\mac2` at that time)
+- **`https://github.com/Mebeingmealways/MAC/tree/main/frontend`** — another reference frontend Claude was asked to draw inspiration from
+
+---
+
+## 32. Full Session Timeline (Claude Desktop Sessions)
+
+| Date | Session File | cwd | Key Work |
+|---|---|---|---|
+| 2026-04-26 | `D--mac2/4e4ab358` | `D:\mac2` | Session 1 plan: backend foundation, cleanup of old vanilla JS frontend, Alembic wiring, feature flags, hardware/network/system/setup services — see `gleaming-purring-mitten.md` plan |
+| 2026-04-26–27 | `D--mac2/833b6073` | `D:\mac2` | Session 1 execution continued; context ran out; push to GitHub attempted (failed — not a git repo) |
+| 2026-04-27 08:28 | `d--MAC/8b8be9aa` (5.7MB) | `D:\mac2` | Session 2: JWT blacklist, cluster, all frontend pages; blank screen bug appeared; SW cache issues; theme change requested; MBMBook reference fetched; model switched to claude-sonnet-4-6 |
+| 2026-04-27 14:43 | `d--MAC/969becc6` | `D:\mac2` | Short session, opened MAC-KNOWLEDGE-BASE.md |
+| 2026-04-27 16:52 | `d--MAC/91e087de` (1.5MB) | `D:\mac2` | Frontend blank screen still broken; user asked for ARCHITECTURE.md prompt; model switched to claude-opus-4-7 |
+| 2026-04-27 19:54 | `d--MAC/877da497` (1MB) | `D:\mac2` | Debugging frontend hosting: wrong IP served wrong code; LAN IP = `192.168.1.34`; login working |
+| 2026-04-27 20:12 | `d--MAC/8b8be9aa` (5.7MB) | `D:\mac2` | Continuation: blank screen fixed; CSS theme applied; frontend inspected from `D:\hey\MAC\frontend` (now `D:\MBMmac\MAC\frontend`) |
+| 2026-04-27 21:52 | `d--MAC/7b593b21` (1.5MB) | `D:\mac2` | Requested ARCHITECTURE.md write-up |
+| 2026-04-27 22:29 | `d--MAC/1fe8755d` | `D:\mac2` | Admin login working (`abhisek.cse@mbm.ac.in / Admin@1234`); asked to add more sidebar items and apply `D:\hey\MAC\frontend` glitch effects |
+| 2026-04-28 09:58 | `d--MAC/beae7ebc` (2.6MB) | `D:\MAC` | TODAY: Wrong code on LAN; language switcher broken; codebase in `D:\MAC` now; MAC-CONTEXT.md created |
+
+---
+
+## 33. Known Bugs Encountered & Status
+
+| Bug | Root Cause | Status |
+|---|---|---|
+| Blank screen on frontend load | SvelteKit SSR hydration issue + `export const ssr = false` not applied | Fixed: added `+layout.js` with `ssr=false, prerender=false` |
+| Stale build served after rebuild | Service worker caching old `index.html` and `_app/` chunks | Fixed: SW now wipes all caches on install/activate, no fetch handler |
+| Wrong code on LAN IP (`192.168.1.34`) | Docker serving a different container/port | Investigated; correct project is `D:\MAC` not `D:\mac2` |
+| Language switcher not working | i18n locale strings not loading / locale change not triggering reactive update | In progress |
+| Login page not advancing past splash | Particle canvas blocking click events or slow authStore.init() | Fixed: layout guard redirects on init completion |
+| `mac_sk_live_*` vs `mac_sk_*` prefix | Legacy key check order in auth_middleware | Resolved: legacy checked first |
+
+---
+
+## 34. Dev Credentials & Local Network
+
+| | Value |
+|---|---|
+| Admin email | `abhisek.cse@mbm.ac.in` |
+| Admin password | `Admin@1234` |
+| LAN IP | `192.168.1.34` |
+| Frontend URL | `http://192.168.1.34` (port 80 via Nginx) |
+| API URL | `http://192.168.1.34:8000` or `http://192.168.1.34/api/v1` |
+| API docs | `http://192.168.1.34:8000/docs` |
+
+Default seeded dev accounts (to create via setup or seed script):
+- Admin: roll `ADMIN001`, role `admin`
+- Faculty: roll `FAC001`, role `faculty`
+- Student: roll `STU001`, role `student`
+
+---
+
+## 35. Repo History — `D:\mac2` → `D:\MAC`
+
+The codebase started at `D:\mac2`. At some point it was copied/moved to `D:\MAC`. Both directories exist:
+- `D:\mac2` — old working directory (Claude sessions before 2026-04-28 used this)
+- `D:\MAC` — current canonical location (all work from 2026-04-28 onward)
+- `D:\MAC-ref` — older reference snapshot (pre-SvelteKit, vanilla JS frontend)
+- `D:\MBMmac\MAC` — another older snapshot (same as MAC-ref structure)
+
+When continuing work, always use `D:\MAC` as the project root.
+
+---
+
+*Context compiled from: ARCHITECTURE.md, MAC-PROGRESS.md, README.md, .env.example, requirements.txt, workspace structure, full Claude session timeline (all 11 sessions), plan file `gleaming-purring-mitten.md`, MAC-PROJECT-SAMJHO.md, reference codebases at D:\MBMmac\MAC, D:\MBMmac\Mbmbook, D:\MAC-ref, VS Code Copilot session (Antigravity trajectory `e36c8c56-d0d8-4913-8da2-90176f0c34d3`)*
diff --git a/docs/MAC-PROGRESS.md b/docs/MAC-PROGRESS.md
new file mode 100644
index 0000000000000000000000000000000000000000..ab83e943a4193e1c599e68fece094e6a4d05c43d
--- /dev/null
+++ b/docs/MAC-PROGRESS.md
@@ -0,0 +1,202 @@
+# MAC — MBM AI Cloud · Build Progress
+
+**Project:** Self-hosted AI inference platform for MBM University Jodhpur
+**Stack:** FastAPI · SvelteKit · PostgreSQL · Redis · vLLM · Nginx · Docker
+**Repo:** `D:\mac2` (push to `github.com/mbmuniversity2026/MAC`)
+
+---
+
+## ✅ Completed
+
+### Session 1 — Backend Foundation
+
+#### Database / Migrations
+- Alembic wired — `alembic/env.py` imports all models
+- `20260426_0001_initial_schema.py` — full initial schema capture
+- `20260427_0002_session1_tables.py` — feature_flags, system_config, branches, sections, cluster_heartbeats, shared_files, file_downloads, video_projects, video_jobs + user columns
+
+#### New Models (`mac/models/`)
+| File | Tables |
+|------|--------|
+| `feature_flag.py` | `FeatureFlag` |
+| `academic.py` | `Branch`, `Section` |
+| `cluster.py` | `ClusterNode`, `ClusterHeartbeat` |
+| `file_share.py` | `SharedFile`, `FileDownload` |
+| `video.py` | `VideoProject`, `VideoJob` |
+| `system_config.py` | `SystemConfig` |
+
+#### New Routers (`mac/routers/`)
+| File | Endpoints |
+|------|-----------|
+| `features.py` | GET /features/status, PATCH /admin/features/{key} |
+| `hardware.py` | GET /hardware/local, /hardware/recommendations |
+| `network.py` | GET /network/local-ip, /network/discover |
+| `system.py` | GET /system/version, /system/update-status, POST /admin/system/restart |
+| `setup.py` | GET /setup/status, POST /setup/create-admin, GET /setup/recovery |
+
+#### New Services (`mac/services/`)
+- `feature_seeder.py` — seeds default flags on startup
+- `setup_service.py` — JWT secret management via system_config
+- `token_blacklist_service.py` — JWT blacklist via Redis (TTL-matched)
+
+#### Security Improvements
+- JWT `jti` claim added to all access tokens (`mac/utils/security.py`)
+- `auth_middleware.py` checks blacklist on every request
+- Logout blacklists current access token + revokes refresh tokens
+
+---
+
+### Session 2 — SvelteKit Frontend
+
+**Full PWA frontend at `frontend/`:**
+
+| File | Description |
+|------|-------------|
+| `src/app.html` | PWA shell, Google Fonts, SW registration |
+| `src/app.css` | Full design system — dark theme, mac-blue palette, all component classes |
+| `src/lib/api.js` | Complete API client (auth, query, models, usage, quota, keys, features, hardware, network, system, users, guardrails, rag, notifications, cluster, academic, files) |
+| `src/lib/stores.js` | authStore, chatStore, setupStore, featureStore, toast, sidebarOpen |
+| `src/lib/i18n.js` | 19 Indian languages with lazy loading + RTL support |
+| `src/lib/components/ParticleCanvas.svelte` | Physics particle animation (login/splash) |
+| `src/lib/components/Sidebar.svelte` | Navigation sidebar with all routes |
+| `src/lib/components/Toast.svelte` | Toast notification component |
+| `src/lib/components/ChatMessage.svelte` | Chat bubble with markdown rendering |
+| `src/routes/+layout.svelte` | Auth guard, setup check, shell layout |
+| `src/routes/+page.svelte` | Landing / redirect |
+| `src/routes/login/+page.svelte` | Animated login page with particle canvas |
+| `src/routes/setup/+page.svelte` | First-run admin setup wizard |
+| `src/routes/chat/+page.svelte` | SSE streaming chat with model picker |
+| `src/routes/dashboard/+page.svelte` | Activity heatmap, quota rings, model distribution |
+| `src/routes/admin/+page.svelte` | Admin panel: Users, Models, Features, Hardware, System tabs |
+| `src/routes/cluster/+page.svelte` | Cluster management: node list, detail, actions, history chart, enrollment tokens |
+| `src/routes/keys/+page.svelte` | API key management (generate, copy, revoke) |
+| `src/routes/settings/+page.svelte` | Profile, change password, language picker |
+| `src/routes/notifications/+page.svelte` | Notification list with mark-read |
+| `src/routes/rag/+page.svelte` | RAG document upload (drag-and-drop) + list |
+
+**Static assets:**
+- `static/manifest.json` — PWA manifest with shortcuts
+- `static/sw.js` — Service worker (cache-first shell, network-first API, SSE passthrough)
+
+**Infrastructure:**
+- `nginx/nginx.conf` — HTTP server (production)
+- `nginx/nginx.https.conf` — HTTPS server with TLS, HSTS, WebSocket proxy
+- `docker-compose.yml` — Master node: MAC API + vLLM + Postgres + Redis + Nginx + Qdrant + SearXNG
+- `docker-compose.worker.yml` — Worker node: vLLM + optional Jupyter + worker-agent
+
+---
+
+### Session 2 — Distributed Cluster Backend
+
+#### Cluster Architecture
+```
+Master node (this machine)
+ ├── MAC API (FastAPI) — receives all user requests
+ ├── PostgreSQL — DB (master-only)
+ ├── Redis — cache, rate limiting, JWT blacklist
+ ├── Nginx — reverse proxy + frontend
+ ├── Qdrant — vector DB for RAG
+ └── SearXNG — web search
+
+Worker nodes (any PC on same network)
+ ├── vLLM — GPU inference (OpenAI-compatible)
+ ├── Jupyter kernel gateway — notebook execution (optional)
+ └── worker_agent.py — heartbeat + registration agent
+```
+
+#### Cluster Services
+- `mac/services/load_balancer.py` — score-based routing: `gpu_util×0.5 + vram_ratio×0.3`, 30s stale threshold
+- `mac/services/llm_service.py` — updated `_resolve_model_cluster` to use load balancer before local vLLM
+- `mac/models/node.py` — `WorkerNode` + `NodeModelDeployment` + `EnrollmentToken`; added `notebook_port`, `tags`
+- `mac/models/cluster.py` — `ClusterHeartbeat` time-series
+
+#### Cluster Router (`mac/routers/cluster.py`)
+| Endpoint | Description |
+|----------|-------------|
+| `POST /cluster/enroll-token` | Admin generates one-time enrollment token |
+| `GET /cluster/enroll-tokens` | List all tokens |
+| `POST /cluster/register` | Worker self-registers (no JWT — uses enrollment token) |
+| `POST /cluster/heartbeat` | Worker sends heartbeat every 10s |
+| `GET /cluster/nodes` | List all nodes with live health |
+| `GET /cluster/nodes/{id}` | Node detail with deployments |
+| `POST /cluster/nodes/{id}/action` | approve / drain / reactivate / remove |
+| `POST /cluster/nodes/{id}/deploy` | Register vLLM deployment on node |
+| `DELETE /cluster/nodes/{id}/deploy/{dep_id}` | Remove deployment |
+| `GET /cluster/nodes/{id}/history` | Heartbeat time-series (for charts) |
+
+#### Worker Agent (`worker_agent.py`)
+Standalone Python script for worker PCs:
+- Reads `MAC_MASTER_URL`, `MAC_ENROLL_TOKEN`, `MAC_VLLM_PORT`, etc. from env
+- Self-registers on startup via enrollment token
+- Sends heartbeats every 10s with GPU/CPU/RAM metrics (via `pynvml` + `psutil`)
+- Queries local vLLM `/v1/models` to report active models
+- Handles stale/auth errors gracefully
+
+#### Other New Routers
+| File | Endpoints |
+|------|-----------|
+| `mac/routers/academic.py` | CRUD for branches and sections |
+| `mac/routers/file_share.py` | Admin upload, user download, stats |
+
+---
+
+## 🔲 Remaining / Optional
+
+| Item | Priority | Notes |
+|------|----------|-------|
+| Frontend PWA icons | Medium | `static/icon-192.png`, `static/icon-512.png`, `static/favicon.ico` — need actual PNG files |
+| Frontend: refresh token flow | Medium | Silent JWT refresh in `api.js` before expiry |
+| Multi-stage Dockerfile | Low | Stage 1: node build frontend; Stage 2: python + nginx |
+| Feature flag wiring | Low | `feature_required("ai_chat")` on `/query/*`, etc. |
+| HTTPS cert setup | Deployment | Use `nginx.https.conf` + Let's Encrypt / self-signed |
+| `alembic/versions/0003` | When schema changes | Node notebook_port and tags columns |
+| Video generation service | Future | `VideoProject` / `VideoJob` models exist, router not yet created |
+
+---
+
+## Deployment Quick-Start
+
+### Master node
+```bash
+# 1. Build frontend
+cd frontend && npm install && npm run build && cd ..
+
+# 2. Configure environment
+cp .env.example .env # edit DB, Redis, model settings
+
+# 3. Run DB migrations
+docker compose up postgres -d
+docker compose run --rm mac alembic upgrade head
+
+# 4. Start all services
+docker compose up -d
+```
+
+### Adding a worker node
+```bash
+# On the master — generate enrollment token
+curl -X POST http://MASTER_IP:8000/api/v1/cluster/enroll-token \
+ -H "Authorization: Bearer ADMIN_JWT" \
+ -d '{"label":"Lab PC 1","expires_hours":24}'
+
+# On the worker PC
+MAC_MASTER_URL=http://MASTER_IP:8000 \
+MAC_ENROLL_TOKEN= \
+MAC_VLLM_PORT=8001 \
+docker compose -f docker-compose.worker.yml up -d
+
+# Then approve the node in MAC admin panel → Cluster tab
+```
+
+### HTTPS (production)
+```bash
+# Place certs in nginx/ssl/
+# Swap nginx config:
+# In docker-compose.yml, change:
+# volumes: ./nginx/nginx.conf → ./nginx/nginx.https.conf
+# Then restart nginx
+```
+
+---
+
+*Last updated: 2026-04-27 — Session 2 complete*
diff --git a/frontend/build.sh b/frontend/build.sh
new file mode 100644
index 0000000000000000000000000000000000000000..d24ed52ccd4d172f19b3691be55a3d06371c52c3
--- /dev/null
+++ b/frontend/build.sh
@@ -0,0 +1,15 @@
+#!/usr/bin/env bash
+# Build SvelteKit frontend for production.
+# Output goes to frontend/build/ — Nginx mounts this directory.
+set -e
+
+cd "$(dirname "$0")"
+
+echo "Installing dependencies…"
+npm install
+
+echo "Building SvelteKit app…"
+npm run build
+
+echo "Build complete → frontend/build/"
+ls -lh build/
diff --git a/frontend/build/_app/env.js b/frontend/build/_app/env.js
new file mode 100644
index 0000000000000000000000000000000000000000..f5427da6b8aff07b5685528dab1d03caec5e682f
--- /dev/null
+++ b/frontend/build/_app/env.js
@@ -0,0 +1 @@
+export const env={}
\ No newline at end of file
diff --git a/frontend/build/_app/immutable/assets/0.DBvVKUFC.css b/frontend/build/_app/immutable/assets/0.DBvVKUFC.css
new file mode 100644
index 0000000000000000000000000000000000000000..c88317aa9886b64266835b04b06e3db90b494ce6
--- /dev/null
+++ b/frontend/build/_app/immutable/assets/0.DBvVKUFC.css
@@ -0,0 +1 @@
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diff --git a/frontend/build/_app/immutable/assets/12.BQVrdhQn.css b/frontend/build/_app/immutable/assets/12.BQVrdhQn.css
new file mode 100644
index 0000000000000000000000000000000000000000..609158ecae412399b28adc21116bc27f3235f6a3
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+++ b/frontend/build/_app/immutable/assets/12.BQVrdhQn.css
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diff --git a/frontend/build/_app/immutable/assets/13.M6eN8M_c.css b/frontend/build/_app/immutable/assets/13.M6eN8M_c.css
new file mode 100644
index 0000000000000000000000000000000000000000..7ac861e6bcaa8209ccc84c98fb15604b9a27a007
--- /dev/null
+++ b/frontend/build/_app/immutable/assets/13.M6eN8M_c.css
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diff --git a/frontend/build/_app/immutable/assets/5.Bb_sFVPM.css b/frontend/build/_app/immutable/assets/5.Bb_sFVPM.css
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diff --git a/frontend/build/_app/immutable/chunks/BRcwu1Xf.js b/frontend/build/_app/immutable/chunks/BRcwu1Xf.js
new file mode 100644
index 0000000000000000000000000000000000000000..ef5877913dac0947394ef9c80c7c004ba0de1b42
--- /dev/null
+++ b/frontend/build/_app/immutable/chunks/BRcwu1Xf.js
@@ -0,0 +1 @@
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index 0000000000000000000000000000000000000000..3c814204a8e428e99c76bf85db07b456f836cead
--- /dev/null
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index 0000000000000000000000000000000000000000..487328a90e6fc218b9f289fb74ecc93ce6d2b5ee
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--- /dev/null
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+import{al as S,f as T,am as x,u as E,C as O,an as Y,a8 as k}from"./CPYeCQyA.js";function n(r,f){return r===f||(r==null?void 0:r[k])===f}function C(r={},f,i,A){var p=S.r,h=O;return T(()=>{var s,t;return x(()=>{s=t,t=[],E(()=>{r!==i(...t)&&(f(r,...t),s&&n(i(...s),r)&&f(null,...s))})}),()=>{let a=h;for(;a!==p&&a.parent!==null&&a.parent.f&Y;)a=a.parent;const w=()=>{t&&n(i(...t),r)&&f(null,...t)},c=a.teardown;a.teardown=()=>{w(),c==null||c()}}}),r}export{C as b};
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+%cThe \`${e}\` attribute on \`${t}\` changed its value between server and client renders. The client value, \`${n}\`, will be ignored in favour of the server value
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index 0000000000000000000000000000000000000000..2add9d05f8a649fb81bb639377219a5012abe21e
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index 0000000000000000000000000000000000000000..f4c7c8997c59b6ef81bd541310ec1f0823aed5c0
--- /dev/null
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diff --git a/frontend/build/_app/immutable/chunks/bi-kDXkt.js b/frontend/build/_app/immutable/chunks/bi-kDXkt.js
new file mode 100644
index 0000000000000000000000000000000000000000..e74fe3ac80b83500bb1a27e93020ba4d5c34982e
--- /dev/null
+++ b/frontend/build/_app/immutable/chunks/bi-kDXkt.js
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new file mode 100644
index 0000000000000000000000000000000000000000..d75a9978cdc7a0e662585d768a8a26c7f0980396
--- /dev/null
+++ b/frontend/build/_app/immutable/chunks/w6MJq1hy.js
@@ -0,0 +1 @@
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diff --git a/frontend/build/_app/immutable/entry/app.Dh61UCpC.js b/frontend/build/_app/immutable/entry/app.Dh61UCpC.js
new file mode 100644
index 0000000000000000000000000000000000000000..edbbe0b03d7501b604d22b687fc4e188f16c5e68
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+++ b/frontend/build/_app/immutable/entry/app.Dh61UCpC.js
@@ -0,0 +1,2 @@
+const __vite__mapDeps=(i,m=__vite__mapDeps,d=(m.f||(m.f=["../nodes/0.BPpsyDaV.js","../chunks/CPYeCQyA.js","../chunks/w6MJq1hy.js","../chunks/DmxDsgrj.js","../chunks/C9ELQ_b7.js","../chunks/CISzQ7XW.js","../chunks/Dn3K5EfF.js","../chunks/BjvCllst.js","../chunks/IZLUbDXh.js","../chunks/B8pdRQVM.js","../chunks/CfhDQzvw.js","../chunks/BOGzIfIj.js","../chunks/BprE2qdV.js","../chunks/BRcwu1Xf.js","../chunks/Ctk_UN2T.js","../chunks/BcWCHg3k.js","../chunks/CVLLvaPT.js","../chunks/DBG6RdyR.js","../chunks/CQuU2lik.js","../chunks/DqZx4L8N.js","../assets/Loader.CSywfDIO.css","../assets/0.DBvVKUFC.css","../nodes/1.BK0JRZmv.js","../nodes/2.DUmrFhSg.js","../assets/2.DfxUCL9T.css","../nodes/3.DVUxjl9R.js","../chunks/BkDXvb8s.js","../nodes/4.CcHarFL-.js","../chunks/bi-kDXkt.js","../nodes/5.C9HZ504C.js","../chunks/BT_qo9Cc.js","../chunks/CBwNur1x.js","../assets/5.Bb_sFVPM.css","../nodes/6.D2MIQddZ.js","../nodes/7.DUlmMya7.js","../nodes/8.C5alKB8I.js","../assets/8.D2JiE0Gd.css","../nodes/9.Bhug6cOw.js","../nodes/10.C-Ql76eA.js","../nodes/11.C3siALJ-.js","../nodes/12.doYkzRCF.js","../chunks/Ckn9-j-z.js","../assets/12.BQVrdhQn.css","../nodes/13.BDJBRkxh.js","../assets/13.M6eN8M_c.css","../nodes/14.D5WERYdC.js","../nodes/15.BTojYlu9.js","../nodes/16.DNXqfzvM.js","../nodes/17.C8xFNzgq.js"])))=>i.map(i=>d[i]);
+import{_ as t}from"../chunks/DmxDsgrj.js";import{r as l}from"../chunks/DmxDsgrj.js";const m={},p=[()=>t(()=>import("../nodes/0.BPpsyDaV.js"),__vite__mapDeps([0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21]),import.meta.url),()=>t(()=>import("../nodes/1.BK0JRZmv.js"),__vite__mapDeps([22,1,11,3,4,5,6,7,8,9,12]),import.meta.url),()=>t(()=>import("../nodes/2.DUmrFhSg.js"),__vite__mapDeps([23,1,2,3,4,5,6,7,8,9,11,12,14,17,19,16,20,24]),import.meta.url),()=>t(()=>import("../nodes/3.DVUxjl9R.js"),__vite__mapDeps([25,1,2,9,6,26,14,4,11,3,5,7,8,12,10,16]),import.meta.url),()=>t(()=>import("../nodes/4.CcHarFL-.js"),__vite__mapDeps([27,1,2,9,6,26,16,14,4,28,7,12,5]),import.meta.url),()=>t(()=>import("../nodes/5.C9HZ504C.js"),__vite__mapDeps([29,1,2,9,6,26,16,14,4,28,30,7,12,5,13,15,8,31,19,17,20,32]),import.meta.url),()=>t(()=>import("../nodes/6.D2MIQddZ.js"),__vite__mapDeps([33,1,2,9,6,16,14,4,17,28,30,12,5,11,3,7,8]),import.meta.url),()=>t(()=>import("../nodes/7.DUlmMya7.js"),__vite__mapDeps([34,1,2,9,6,26,16,14,4,28,11,3,5,7,8,12]),import.meta.url),()=>t(()=>import("../nodes/8.C5alKB8I.js"),__vite__mapDeps([35,1,2,9,6,26,16,14,4,17,13,31,36]),import.meta.url),()=>t(()=>import("../nodes/9.Bhug6cOw.js"),__vite__mapDeps([37,1,2,9,6,26,16,14,4,28,30]),import.meta.url),()=>t(()=>import("../nodes/10.C-Ql76eA.js"),__vite__mapDeps([38,1,2,9,6,26,16,28]),import.meta.url),()=>t(()=>import("../nodes/11.C3siALJ-.js"),__vite__mapDeps([39,1,2,6,16,28]),import.meta.url),()=>t(()=>import("../nodes/12.doYkzRCF.js"),__vite__mapDeps([40,1,2,9,6,26,16,14,4,17,28,7,18,41,11,3,5,8,12,13,42]),import.meta.url),()=>t(()=>import("../nodes/13.BDJBRkxh.js"),__vite__mapDeps([43,1,2,6,15,26,16,14,4,17,28,30,18,41,12,5,19,8,9,20,44]),import.meta.url),()=>t(()=>import("../nodes/14.D5WERYdC.js"),__vite__mapDeps([45,1,2,6,14,4]),import.meta.url),()=>t(()=>import("../nodes/15.BTojYlu9.js"),__vite__mapDeps([46,1,2,6,14,4,7,18]),import.meta.url),()=>t(()=>import("../nodes/16.DNXqfzvM.js"),__vite__mapDeps([47,1,2,9,16,14,4,28,13]),import.meta.url),()=>t(()=>import("../nodes/17.C8xFNzgq.js"),__vite__mapDeps([48,1,2,9,6,26,16,28,11,3,4,5,7,8,12,13]),import.meta.url)],a=[],u={"/":[2],"/admin":[3],"/attendance":[4],"/chat":[5],"/cluster":[6],"/copy-check":[7],"/dashboard":[8],"/doubts":[9],"/files":[10],"/keys":[11],"/login":[12],"/notebooks":[13],"/notifications":[14],"/rag":[15],"/settings":[16],"/setup":[17]},_={handleError:(({error:r})=>{console.error(r)}),reroute:(()=>{}),transport:{}},e=Object.fromEntries(Object.entries(_.transport).map(([r,o])=>[r,o.decode])),E=Object.fromEntries(Object.entries(_.transport).map(([r,o])=>[r,o.encode])),s=!1,d=(r,o)=>e[r](o);export{d as decode,e as decoders,u as dictionary,E as encoders,s as hash,_ as hooks,m as matchers,p as nodes,l as root,a as server_loads};
diff --git a/frontend/build/_app/immutable/entry/start.CWG_lSFq.js b/frontend/build/_app/immutable/entry/start.CWG_lSFq.js
new file mode 100644
index 0000000000000000000000000000000000000000..69ac59e481623e907d317cbf8ef01a81b5e1cb07
--- /dev/null
+++ b/frontend/build/_app/immutable/entry/start.CWG_lSFq.js
@@ -0,0 +1 @@
+import{l as o,a as r}from"../chunks/BOGzIfIj.js";export{o as load_css,r as start};
diff --git a/frontend/build/_app/immutable/nodes/0.BPpsyDaV.js b/frontend/build/_app/immutable/nodes/0.BPpsyDaV.js
new file mode 100644
index 0000000000000000000000000000000000000000..3e64216bf2365e33ebd8c1d6f2ab4c8840adfd60
--- /dev/null
+++ b/frontend/build/_app/immutable/nodes/0.BPpsyDaV.js
@@ -0,0 +1,8 @@
+import{K as at,k as c,r as i,s as p,t as W,w as ae,u as z,i as q,c as u,j as w,p as he,l as P,n as b,g as e,b as $e,e as R,d as ue,m as j,v as re,q as Se,as as rt}from"../chunks/CPYeCQyA.js";import{i as Be,e as Ce,d as ze,b as nt,a as de,H as it,I as lt,J as ct,K as vt,L as dt,t as ht,A as ut}from"../chunks/w6MJq1hy.js";import{b as ve}from"../chunks/DmxDsgrj.js";import{a as F,s as Le}from"../chunks/B8pdRQVM.js";import{i as I}from"../chunks/Dn3K5EfF.js";import{a as Oe}from"../chunks/CfhDQzvw.js";import{p as Q,s as gt}from"../chunks/IZLUbDXh.js";import{s as pt,g as V}from"../chunks/BOGzIfIj.js";import{g as ft}from"../chunks/CISzQ7XW.js";import{t as xt,i as wt}from"../chunks/BRcwu1Xf.js";import{s as J}from"../chunks/Ctk_UN2T.js";import{h as Ae}from"../chunks/BcWCHg3k.js";import{s as se}from"../chunks/CVLLvaPT.js";import{s as Ee}from"../chunks/DBG6RdyR.js";import{b as He}from"../chunks/BjvCllst.js";import{p as yt}from"../chunks/CQuU2lik.js";import{o as Te}from"../chunks/BprE2qdV.js";import{L as mt}from"../chunks/DqZx4L8N.js";const kt=!1,_t=!1,vo=Object.freeze(Object.defineProperty({__proto__:null,prerender:_t,ssr:kt},Symbol.toStringTag,{value:"Module"})),Pe=()=>{const f=ve?pt:ft("__svelte__");return{page:{subscribe:f.page.subscribe},navigating:{subscribe:f.navigating.subscribe},updated:f.updated}},Re={subscribe(f){return(at?bt("page"):Pe().page).subscribe(f)}};function bt(f){try{return Pe()[f]}catch{throw new Error(`Cannot subscribe to '${f}' store on the server outside of a Svelte component, as it is bound to the current request via component context. This prevents state from leaking between users.For more information, see https://svelte.dev/docs/kit/state-management#avoid-shared-state-on-the-server`)}}var Mt=w('
'),Ut=w(" ",1);function ho(f,y){he(y,!1);const x=()=>F(Re,"$page",r),o=()=>F(de,"$authStore",r),D=()=>F(vt,"$toast",r),[r,$]=Le(),l=j(),m=j(),S=j(),L=["/login","/setup"];let B=j(!1);P(()=>x(),()=>{b(l,x().url.pathname)}),P(()=>e(l),()=>{b(m,L.some(d=>e(l).startsWith(d)))}),P(()=>(o(),e(m)),()=>{b(S,o().user&&!e(m))}),P(()=>(o(),e(m),V),()=>{ve&&o().initialized&&!o().user&&!e(m)&&V("/login")}),P(()=>(o(),e(l),V),()=>{ve&&o().initialized&&e(l)==="/"&&V(o().user?"/chat":"/login")}),P(()=>(e(B),V),()=>{ve&&!e(B)&&(b(B,!0),(async()=>{wt();try{await de.init()}catch{}try{await dt()}catch{}try{await ht()}catch{}const d=rt(ut),n=window.location.pathname;d.is_first_run&&!n.startsWith("/setup")&&V("/setup")})())}),$e(),Be();var H=Ut(),X=re(H);{var g=d=>{var n=qt(),t=c(n);Pt(t,{});var _=p(t,2);Et(_,{});var O=p(_,2),E=c(O);Oe(E,y,"default",{}),i(O),i(n),u(d,n)},v=d=>{var n=Se(),t=re(n);Oe(t,y,"default",{}),u(d,n)};I(X,d=>{e(S)?d(g):d(v,-1)})}var T=p(X,2);{var M=d=>{At(d,gt(D))};I(T,d=>{D()&&d(M)})}var k=p(T,2);Wt(k,{}),u(f,H),ue(),$()}export{ho as component,vo as universal};
diff --git a/frontend/build/_app/immutable/nodes/1.BK0JRZmv.js b/frontend/build/_app/immutable/nodes/1.BK0JRZmv.js
new file mode 100644
index 0000000000000000000000000000000000000000..568645138971dd0398869f4f6d8c8a64a7bc3a7d
--- /dev/null
+++ b/frontend/build/_app/immutable/nodes/1.BK0JRZmv.js
@@ -0,0 +1 @@
+import{K as n,p as v,v as _,t as l,c as x,d as b,j as k,k as p,r as u,s as $,i}from"../chunks/CPYeCQyA.js";import{s as w,p as c}from"../chunks/BOGzIfIj.js";import{g as E}from"../chunks/CISzQ7XW.js";import{b as q}from"../chunks/DmxDsgrj.js";const y={get error(){return c.error},get status(){return c.status}};w.updated.check;function r(){return E("__request__")}function g(t){try{return r()}catch{throw new Error(`Can only read '${t}' on the server during rendering (not in e.g. \`load\` functions), as it is bound to the current request via component context. This prevents state from leaking between users. For more information, see https://svelte.dev/docs/kit/state-management#avoid-shared-state-on-the-server`)}}const C={get error(){return(n?g("page.error"):r()).page.error},get status(){return(n?g("page.status"):r()).page.status}},m=q?y:C;var j=k("
",1);function V(t,h){v(h,!0);var s=j(),e=_(s),d=p(e,!0);u(e);var a=$(e,2),f=p(a,!0);u(a),l(()=>{var o;i(d,m.status),i(f,(o=m.error)==null?void 0:o.message)}),x(t,s),b()}export{V as component};
diff --git a/frontend/build/_app/immutable/nodes/10.C-Ql76eA.js b/frontend/build/_app/immutable/nodes/10.C-Ql76eA.js
new file mode 100644
index 0000000000000000000000000000000000000000..ebcebe8d336228e9cb7165f9c92d8ff779502245
--- /dev/null
+++ b/frontend/build/_app/immutable/nodes/10.C-Ql76eA.js
@@ -0,0 +1 @@
+import{p as Z,c as d,d as tt,f as et,j as v,$ as at,s as i,k as l,g as e,r as o,m as h,n,e as D,q as st,v as rt,t as it,i as q}from"../chunks/CPYeCQyA.js";import{i as lt,b as ot,e as nt,j as $,d as dt,s as p}from"../chunks/w6MJq1hy.js";import{s as ct,a as pt}from"../chunks/B8pdRQVM.js";import{i as j}from"../chunks/Dn3K5EfF.js";import{h as vt}from"../chunks/BkDXvb8s.js";import{r as B,s as mt}from"../chunks/CVLLvaPT.js";import{b as K}from"../chunks/bi-kDXkt.js";var ft=v('
');function Dt(L,N){Z(N,!1);const M=()=>pt(ot,"$isFacultyOrAdmin",S),[S,E]=ct();let m=h([]),k=h(!0),g=h(null),f=h(""),b=h("");async function G(){n(k,!0);try{const t=await $.list();n(m,t.files||t.items||t||[])}catch(t){p(t.message,"error")}finally{n(k,!1)}}async function H(){if(!e(g))return p("Choose a file","error");const t=new FormData;t.append("file",e(g)),e(f)&&t.append("title",e(f)),e(b)&&t.append("department",e(b));try{await $.upload(t),n(g,null),n(f,""),await G(),p("File uploaded","success")}catch(a){p(a.message,"error")}}async function I(t){if(confirm("Delete this file?"))try{await $.deleteFile(t),n(m,e(m).filter(a=>a.id!==t)),p("File deleted","success")}catch(a){p(a.message,"error")}}lt();var A=gt();vt("5hf2uo",t=>{et(()=>{at.title="Files - MAC"})});var O=i(l(A),2);{var J=t=>{var a=ft(),y=i(l(a),2),u=l(y);B(u);var s=i(u,2);B(s);var c=i(s,2),_=i(c,2);o(y),o(a),K(u,()=>e(f),r=>n(f,r)),K(s,()=>e(b),r=>n(b,r)),D("change",c,r=>{var w;return n(g,(w=r.currentTarget.files)==null?void 0:w[0])}),D("click",_,H),d(t,a)};j(O,t=>{M()&&t(J)})}var T=i(O,2),P=l(T);{var Q=t=>{var a=ut();d(t,a)},R=t=>{var a=_t();d(t,a)},V=t=>{var a=st(),y=rt(a);nt(y,1,()=>e(m),dt,(u,s)=>{var c=ht(),_=l(c),r=l(_),w=l(r,!0);o(r);var z=i(r,2),W=l(z);o(z),o(_);var C=i(_,2),U=l(C),X=i(U,2);{var Y=x=>{var F=xt();D("click",F,()=>I(e(s).id)),d(x,F)};j(X,x=>{M()&&x(Y)})}o(C),o(c),it((x,F)=>{q(w,e(s).title||e(s).filename||e(s).name),q(W,`${(e(s).department||"All departments")??""} - ${x??""}`),mt(U,"href",F)},[()=>e(s).size_bytes?Math.round(e(s).size_bytes/1024)+" KB":"file",()=>$.download(e(s).id)]),d(u,c)}),d(t,a)};j(P,t=>{e(k)?t(Q):e(m).length===0?t(R,1):t(V,-1)})}o(T),o(A),d(L,A),tt(),E()}export{Dt as component};
diff --git a/frontend/build/_app/immutable/nodes/11.C3siALJ-.js b/frontend/build/_app/immutable/nodes/11.C3siALJ-.js
new file mode 100644
index 0000000000000000000000000000000000000000..f27d8a920811ab2f20e52f7cbc97e491638baf58
--- /dev/null
+++ b/frontend/build/_app/immutable/nodes/11.C3siALJ-.js
@@ -0,0 +1,4 @@
+import{p as le,t as $,g as t,e as h,c as p,d as ce,k as o,s as i,n,j as x,m as g,r,x as de,i as u}from"../chunks/CPYeCQyA.js";import{i as ve,k as H,s as l,e as pe}from"../chunks/w6MJq1hy.js";import{i as B}from"../chunks/Dn3K5EfF.js";import{r as ue}from"../chunks/CVLLvaPT.js";import{b as xe}from"../chunks/bi-kDXkt.js";var fe=x('
Loading…
'),me=x('
No API keys yet. Generate one above.
'),ge=x(''),ye=x('
'),_e=x(''),be=x('
API Keys
Use these keys to access MAC API from scripts, notebooks, or external tools.
Generate new key
The full key is shown only once — copy it immediately after creation.
Usage example
');function Ce(E,O){var J;le(O,!1);let c=g([]),k=g(!0),f=g(!1),y=g(""),w=g(null);async function S(){n(k,!0);try{n(c,await H.list())}catch(e){l(e.message,"error")}finally{n(k,!1)}}async function L(){if(!t(f)){n(f,!0);try{const e=await H.generate(t(y)||"My key");l("API key generated","success"),n(y,""),await S(),e!=null&&e.api_key&&(await navigator.clipboard.writeText(e.api_key),l("Key copied to clipboard","success"))}catch(e){l(e.message,"error")}finally{n(f,!1)}}}async function Y(e){if(confirm(`Revoke key "${e.label}"? This cannot be undone.`))try{await H.revoke(e.id),l("Key revoked","success"),n(c,t(c).filter(a=>a.id!==e.id))}catch(a){l(a.message,"error")}}async function F(e,a){try{await navigator.clipboard.writeText(e),n(w,a),setTimeout(()=>n(w,null),2e3)}catch{l("Copy failed","error")}}function Q(e){return e?e.slice(0,8)+"••••••••••••••••"+e.slice(-4):"—"}function N(e){if(!e)return"—";const a=Date.now()-new Date(e).getTime(),d=Math.floor(a/864e5);if(d>0)return`${d}d ago`;const s=Math.floor(a/36e5);return s>0?`${s}h ago`:"Just now"}ve();var T=be(),A=i(o(T),2),j=i(o(A),2),_=o(j);ue(_);var b=i(_,2),V=o(b,!0);r(b),r(j),de(2),r(A);var C=i(A,2),K=o(C),W=o(K);r(K);var X=i(K,2);{var Z=e=>{var a=fe();p(e,a)},ee=e=>{var a=me();p(e,a)},te=e=>{var a=_e();pe(a,5,()=>t(c),d=>d.id,(d,s)=>{var I=ye(),M=o(I),G=o(M),re=o(G,!0);r(G);var P=i(G,2),se=o(P,!0);r(P);var R=i(P,2),oe=o(R);r(R),r(M);var q=i(M,2),z=o(q);{var ie=m=>{var v=ge(),U=o(v,!0);r(v),$(()=>u(U,t(w)===t(s).id?"✓ Copied":"Copy")),h("click",v,()=>F(t(s).api_key,t(s).id)),p(m,v)};B(z,m=>{t(s).api_key&&m(ie)})}var ne=i(z,2);r(q),r(I),$((m,v,U)=>{u(re,t(s).label||"Unlabelled"),u(se,m),u(oe,`Created ${v??""}${U??""}`)},[()=>Q(t(s).api_key||t(s).key_prefix),()=>N(t(s).created_at),()=>t(s).last_used_at?" · Used "+N(t(s).last_used_at):""]),h("click",ne,()=>Y(t(s))),p(d,I)}),r(a),p(e,a)};B(X,e=>{t(k)?e(Z):t(c).length===0?e(ee,1):e(te,-1)})}r(C);var D=i(C,2),ae=i(o(D),2);ae.textContent=`curl ${((J=window==null?void 0:window.location)==null?void 0:J.origin)??"http://localhost:8000"??""}/api/v1/query/chat \\
+ -H "Authorization: Bearer mac_sk_your_key_here" \\
+ -H "Content-Type: application/json" \\
+ -d '${JSON.stringify({messages:[{role:"user",content:"Hello"}],model:"auto"})??""}'`,r(D),r(T),$(()=>{b.disabled=t(f),u(V,t(f)?"Generating…":"+ Generate"),u(W,`Your keys (${t(c).length??""})`)}),xe(_,()=>t(y),e=>n(y,e)),h("keydown",_,e=>e.key==="Enter"&&L()),h("click",b,L),p(E,T),ce()}export{Ce as component};
diff --git a/frontend/build/_app/immutable/nodes/12.doYkzRCF.js b/frontend/build/_app/immutable/nodes/12.doYkzRCF.js
new file mode 100644
index 0000000000000000000000000000000000000000..d92a7d414d3105dfbe1ce039e4a77f1724f6ed92
--- /dev/null
+++ b/frontend/build/_app/immutable/nodes/12.doYkzRCF.js
@@ -0,0 +1 @@
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diff --git a/frontend/build/_app/immutable/nodes/13.BDJBRkxh.js b/frontend/build/_app/immutable/nodes/13.BDJBRkxh.js
new file mode 100644
index 0000000000000000000000000000000000000000..9fba9e2272ab46c755f69feb0039388524524ccf
--- /dev/null
+++ b/frontend/build/_app/immutable/nodes/13.BDJBRkxh.js
@@ -0,0 +1 @@
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diff --git a/frontend/build/_app/immutable/nodes/16.DNXqfzvM.js b/frontend/build/_app/immutable/nodes/16.DNXqfzvM.js
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+++ b/frontend/build/_app/immutable/nodes/16.DNXqfzvM.js
@@ -0,0 +1,2 @@
+import{p as is,t as G,g as a,e as H,c as I,d as ls,s as t,n as i,j as J,k as e,m as p,r as s,i as o}from"../chunks/CPYeCQyA.js";import{i as ds,e as ns,d as os,s as v,l as cs}from"../chunks/w6MJq1hy.js";import{s as ps}from"../chunks/B8pdRQVM.js";import{r as j}from"../chunks/CVLLvaPT.js";import{s as vs}from"../chunks/Ctk_UN2T.js";import{b as S}from"../chunks/bi-kDXkt.js";import{S as ms,s as us}from"../chunks/BRcwu1Xf.js";var bs=J(''),xs=J('
Settings
Account preferences and security settings.
Profile
Name
Roll / Email
Role
Department
Change password
Language / भाषा
');function Ls(K,Q){is(Q,!1);const[fs,V]=ps();let u=p(null),m=p(""),d=p(""),b=p(""),x=p(!1),$=p("en");async function W(){if(!a(m)||!a(d)){v("Fill in all password fields","error");return}if(a(d)!==a(b)){v("Passwords do not match","error");return}if(a(d).length<8){v("Password must be at least 8 characters","error");return}i(x,!0);try{await cs.changePassword(a(m),a(d)),v("Password changed successfully","success"),i(m,""),i(d,""),i(b,"")}catch(r){v(r.message,"error")}finally{i(x,!1)}}function X(r){us(r),i($,r),v("Language updated","success")}ds();var g=xs(),_=t(e(g),2),R=t(e(_),2),y=e(R),E=t(e(y),2),Y=e(E,!0);s(E),s(y);var w=t(y,2),N=t(e(w),2),Z=e(N,!0);s(N),s(w);var h=t(w,2),A=t(e(h),2),ss=e(A,!0);s(A),s(h);var D=t(h,2),O=t(e(D),2),as=e(O,!0);s(O),s(D),s(R),s(_);var k=t(_,2),T=t(e(k),2),P=e(T),z=t(e(P),2);j(z),s(P);var L=t(P,2),F=t(e(L),2);j(F),s(L);var C=t(L,2),M=t(e(C),2);j(M),s(C);var f=t(C,2),es=e(f,!0);s(f),s(T),s(k);var U=t(k,2),q=t(e(U),2);ns(q,5,()=>ms,os,(r,n)=>{var l=bs(),c=e(l),ts=e(c,!0);s(c);var B=t(c,2),rs=e(B,!0);s(B),s(l),G(()=>{vs(l,1,`px-3 py-2 rounded-lg text-sm border transition-colors
+ ${a($)===a(n).code?"border-mac-500 bg-mac-900/40 text-mac-300":"border-dark-500 bg-dark-700 text-gray-400 hover:border-dark-400"}`),o(ts,a(n).nativeName),o(rs,a(n).name)}),H("click",l,()=>X(a(n).code)),I(r,l)}),s(q),s(U),s(g),G(()=>{var r,n,l,c;o(Y,((r=a(u))==null?void 0:r.name)??"—"),o(Z,((n=a(u))==null?void 0:n.roll_number)??"—"),o(ss,((l=a(u))==null?void 0:l.role)??"—"),o(as,((c=a(u))==null?void 0:c.department)??"—"),f.disabled=a(x),o(es,a(x)?"Saving…":"Change password")}),S(z,()=>a(m),r=>i(m,r)),S(F,()=>a(d),r=>i(d,r)),S(M,()=>a(b),r=>i(b,r)),H("click",f,W),I(K,g),ls(),V()}export{Ls as component};
diff --git a/frontend/build/_app/immutable/nodes/17.C8xFNzgq.js b/frontend/build/_app/immutable/nodes/17.C8xFNzgq.js
new file mode 100644
index 0000000000000000000000000000000000000000..d40bbd5af9f1fbf4874fb1966f0a536000f81c82
--- /dev/null
+++ b/frontend/build/_app/immutable/nodes/17.C8xFNzgq.js
@@ -0,0 +1 @@
+import{p as at,c as x,d as rt,j as _,g as a,n as i,m as p,f as pt,$ as ut,k as e,s as r,r as t,x as tt,t as D,i as n,e as W,aE as mt,aD as ft}from"../chunks/CPYeCQyA.js";import{i as st,e as bt,d as xt,z as _t,A as gt,a as ht}from"../chunks/w6MJq1hy.js";import{s as yt,a as wt}from"../chunks/B8pdRQVM.js";import{i as et}from"../chunks/Dn3K5EfF.js";import{h as kt}from"../chunks/BkDXvb8s.js";import{r as E}from"../chunks/CVLLvaPT.js";import{b as K}from"../chunks/bi-kDXkt.js";import{g as $t}from"../chunks/BOGzIfIj.js";import{t as At}from"../chunks/BRcwu1Xf.js";import{b as jt}from"../chunks/BjvCllst.js";import{o as Pt}from"../chunks/BprE2qdV.js";var St=_('');function Ct(N,T){at(T,!1);let d=p(),U;Pt(()=>{cancelAnimationFrame(U)}),st();var z=St();jt(z,u=>i(d,u),()=>a(d)),x(N,z),rt()}var Ft=_('
'),Dt=_(`
M
Let's create the first admin account to get started.
`),zt=_('
'),Gt=_('
Create Admin Account
'),It=_('
✓
Redirecting to your dashboard…
'),Lt=_('
');function Ot(N,T){at(T,!1);const d=()=>wt(At,"$t",U),[U,z]=yt();let u=p(1),G=p(""),I=p(""),g=p(""),q=p(""),h=p(""),L=p(!1);async function it(){if(i(h,""),a(g)!==a(q)){i(h,"Passwords do not match");return}if(a(g).length<8){i(h,"Password must be at least 8 characters");return}i(L,!0);try{const s=await _t.createAdmin(a(G),a(I),a(g));localStorage.setItem("mac_token",s.access_token),gt.set({is_first_run:!1,checked:!0}),i(u,3),await ht.init(),setTimeout(()=>$t("/chat"),1800)}catch(s){i(h,s.message||"Failed to create admin account")}finally{i(L,!1)}}st();var H=Lt();kt("g40i6i",s=>{pt(()=>{ut.title="Setup — MAC"})});var X=e(H);Ct(X,{});var Y=r(X,4),Z=e(Y),lt=e(Z);{var dt=s=>{var o=Dt(),v=r(e(o),2),m=e(v,!0);t(v);var c=r(v,2),J=e(c,!0);tt(2),t(c);var y=r(c,2);bt(y,4,()=>[["🔒","Private","All data stays on campus"],["⚡","Fast","Local GPU inference"],["🆓","Free","No per-token billing"]],xt,(f,j)=>{var w=mt(()=>ft(j,3));let P=()=>a(w)[0],S=()=>a(w)[1],O=()=>a(w)[2];var k=Ft(),b=e(k),M=e(b,!0);t(b);var $=r(b,2),Q=e($,!0);t($);var C=r($,2),R=e(C,!0);t(C),t(k),D(()=>{n(M,P()),n(Q,S()),n(R,O())}),x(f,k)}),t(y);var A=r(y,2);t(o),D((f,j)=>{n(m,f),n(J,j)},[()=>d()("setup.title"),()=>d()("setup.subtitle")]),W("click",A,()=>i(u,2)),x(s,o)},ot=s=>{var o=Gt(),v=r(e(o),2),m=e(v),c=e(m),J=e(c,!0);t(c);var y=r(c,2);E(y),t(m);var A=r(m,2),f=e(A),j=e(f,!0);t(f);var w=r(f,2);E(w),t(A);var P=r(A,2),S=e(P),O=e(S,!0);t(S);var k=r(S,2);E(k),t(P);var b=r(P,2),M=r(e(b),2);E(M),t(b);var $=r(b,2);{var Q=l=>{var F=zt(),V=e(F,!0);t(F),D(()=>n(V,a(h))),x(l,F)};et($,l=>{a(h)&&l(Q)})}var C=r($,2),R=e(C),B=r(R,2),vt=e(B,!0);t(B),t(C),t(v),t(o),D((l,F,V,ct)=>{n(J,l),n(j,F),n(O,V),B.disabled=a(L)||!a(G)||!a(I)||!a(g),n(vt,ct)},[()=>d()("setup.name"),()=>d()("setup.email"),()=>d()("setup.password"),()=>a(L)?d()("setup.creating"):d()("setup.create")]),K(y,()=>a(G),l=>i(G,l)),K(w,()=>a(I),l=>i(I,l)),K(k,()=>a(g),l=>i(g,l)),K(M,()=>a(q),l=>i(q,l)),W("click",R,()=>i(u,1)),W("click",B,it),x(s,o)},nt=s=>{var o=It(),v=r(e(o),2),m=e(v,!0);t(v),tt(4),t(o),D(c=>n(m,c),[()=>d()("setup.success")]),x(s,o)};et(lt,s=>{a(u)===1?s(dt):a(u)===2?s(ot,1):s(nt,-1)})}t(Z),t(Y),t(H),x(N,H),rt(),z()}export{Ot as component};
diff --git a/frontend/build/_app/immutable/nodes/2.DUmrFhSg.js b/frontend/build/_app/immutable/nodes/2.DUmrFhSg.js
new file mode 100644
index 0000000000000000000000000000000000000000..e16001dd1bc68f56130ede4389d1ad2a50fc2bfa
--- /dev/null
+++ b/frontend/build/_app/immutable/nodes/2.DUmrFhSg.js
@@ -0,0 +1 @@
+import{p as D,k,g as s,s as y,n as i,r as w,t as j,e as q,c as f,d as S,m as c,j as g,l as x,b as z,q as C,v as E,as as M}from"../chunks/CPYeCQyA.js";import{i as A,a as T}from"../chunks/w6MJq1hy.js";import{b as U}from"../chunks/DmxDsgrj.js";import{i as F}from"../chunks/Dn3K5EfF.js";import{g as I}from"../chunks/BOGzIfIj.js";import{s as B}from"../chunks/Ctk_UN2T.js";import{s as G}from"../chunks/DBG6RdyR.js";import{b as H}from"../chunks/BjvCllst.js";import{c as J}from"../chunks/BprE2qdV.js";import{L as K}from"../chunks/DqZx4L8N.js";var N=g(''),O=g('
');function P(p,d){D(d,!1);const o=J();let t=c(),l=c("loading"),r=c(1),m;function _(){cancelAnimationFrame(m);try{localStorage.setItem("mac_intro_seen","1")}catch{}i(r,0),setTimeout(()=>o("done"),300)}A();var a=O();let v;var e=k(a);{var h=n=>{var u=N(),$=k(u);K($,{size:80,color:"#D97449"}),w(u),f(n,u)};F(e,n=>{s(l)==="loading"&&n(h)})}var b=y(e,2);H(b,n=>i(t,n),()=>s(t));var L=y(b,2);w(a),j(()=>{v=B(a,1,"morph-overlay svelte-5m2nwc",null,v,{hidden:s(r)<=0}),G(a,`opacity: ${s(r)??""}`)}),q("click",L,_),f(p,a),S()}var Q=g('');function oe(p,d){D(d,!1);let o=c(!1),t=c(!1);function l(){M(T).user?I("/chat"):I("/login")}function r(){i(o,!1),l()}x(()=>s(t),()=>{U&&!s(t)&&(i(t,!0),localStorage.getItem("mac_intro_seen")?l():i(o,!0))}),z(),A();var m=C(),_=E(m);{var a=e=>{P(e,{$$events:{done:r}})},v=e=>{var h=Q();f(e,h)};F(_,e=>{s(o)?e(a):e(v,-1)})}f(p,m),S()}export{oe as component};
diff --git a/frontend/build/_app/immutable/nodes/3.DVUxjl9R.js b/frontend/build/_app/immutable/nodes/3.DVUxjl9R.js
new file mode 100644
index 0000000000000000000000000000000000000000..8280dc531264157f4782cb0b45de2e8c615db759
--- /dev/null
+++ b/frontend/build/_app/immutable/nodes/3.DVUxjl9R.js
@@ -0,0 +1 @@
+import{p as Pt,k as r,r as s,t as $,g as t,u as i,i as x,c,s as o,w as wt,Z as Jt,d as qt,j as u,l as Rt,b as Xt,f as ta,$ as aa,e as Y,m as A,n as _,aD as ft,aE as $t,v as bt,y as Mt}from"../chunks/CPYeCQyA.js";import{i as Dt,e as O,d as z,m as ea,u as et,q as sa,o as St,k as ra,p as oa,t as Ut,v as jt,n as Ct,w as ia,x as ht,s as D,y as la}from"../chunks/w6MJq1hy.js";import{s as da,a as ca}from"../chunks/B8pdRQVM.js";import{i as lt}from"../chunks/Dn3K5EfF.js";import{h as va}from"../chunks/BkDXvb8s.js";import{s as dt}from"../chunks/Ctk_UN2T.js";import"../chunks/BOGzIfIj.js";import{s as na,a as ua}from"../chunks/CfhDQzvw.js";import{s as _a}from"../chunks/CVLLvaPT.js";import{p as Ft}from"../chunks/IZLUbDXh.js";var pa=u('
',2);function wt(ge,fe){Ie(fe,!1);const Q=()=>ue(Qe,"$authStore",Y),X=()=>ue(Xe,"$isFacultyOrAdmin",Y),[Y,be]=et();let F=m([]),c=m(null),U=m(null),W=m(!0),S=null,p=m(),N=m("Lecture Attendance"),y=m(""),P=m(""),R=m(new Date().toISOString().slice(0,10));st(Z);async function T(){d(W,!0);try{const[t,a,x]=await Promise.all([l.sessions({page:1,per_page:50}),l.settings().catch(()=>null),l.faceStatus().catch(()=>null)]);d(F,t.sessions||[]),d(c,a),d(U,x)}catch(t){v(t.message,"error")}finally{d(W,!1)}}async function he(){try{await l.createSession({title:e(N),department:e(y),subject:e(P),session_date:e(R)}),await T(),v("Attendance session opened","success")}catch(t){v(t.message,"error")}}async function ye(t){try{await l.closeSession(t),await T(),v("Session closed","success")}catch(a){v(a.message,"error")}}async function xe(){Z();try{S=await navigator.mediaDevices.getUserMedia({video:{facingMode:"user"},audio:!1}),Ge(p,e(p).srcObject=S)}catch(t){v(t.message||"Camera unavailable","error")}}function Z(){S&&S.getTracks().forEach(t=>t.stop()),S=null}function ee(){if(!e(p)||!e(p).videoWidth)throw new Error("Camera is not ready");const t=document.createElement("canvas");return t.width=e(p).videoWidth,t.height=e(p).videoHeight,t.getContext("2d").drawImage(e(p),0,0),t.toDataURL("image/jpeg",.85)}async function we(){try{const t=ee();await l.registerFace(t),await T(),v("Face registered","success")}catch(t){v(t.message,"error")}}async function Se(t){try{const a=ee();await l.mark(t,a),v("Attendance marked","success")}catch(a){v(a.message,"error")}}qe(()=>(e(y),Q()),()=>{var t;d(y,e(y)||((t=Q().user)==null?void 0:t.department)||"CSE")}),He(),Ke();var I=vt();tt("12uchig",t=>{ze(()=>{Be.title="Attendance - MAC"})});var q=i(I),H=i(q),te=r(i(H),2),$e=i(te);n(te),n(H);var V=r(H,2),ke=i(V,!0);n(V),n(q);var ae=r(q,2),z=i(ae),B=i(z),G=r(i(B),2);G.muted=!0,at(G,t=>d(p,t),()=>e(p));var J=r(G,2),se=i(J),Ce=r(se,2);n(J);var re=r(J,2),je=i(re);n(re),n(B);var Ae=r(B,2);{var De=t=>{var a=rt(),x=r(i(a),2),$=i(x);L($);var s=r($,2);L(s);var f=r(s,2);L(f);var b=r(f,2);L(b);var k=r(b,2);n(x),n(a),M($,()=>e(N),u=>d(N,u)),M(s,()=>e(y),u=>d(y,u)),M(f,()=>e(P),u=>d(P,u)),M(b,()=>e(R),u=>d(R,u)),A("click",k,he),_(t,a)};D(Ae,t=>{X()&&t(De)})}n(z);var ie=r(z,2),Fe=i(ie);{var Oe=t=>{var a=it();_(t,a)},Ee=t=>{var a=nt();_(t,a)},Le=t=>{var a=Je(),x=ve(a);Ye(x,1,()=>e(F),Ze,($,s)=>{var f=lt(),b=i(f),k=i(b),u=i(k,!0);n(k);var ne=r(k,2),Me=i(ne);n(ne),n(b);var oe=r(b,2),O=i(oe),Ue=i(O,!0);n(O);var ce=r(O,2);{var We=h=>{var C=ot();A("click",C,()=>Se(e(s).id)),_(h,C)};D(ce,h=>{e(s),o(()=>e(s).is_open)&&h(We)})}var Ne=r(ce,2);{var Pe=h=>{var C=dt(),de=ve(C),le=r(de,2),Re=r(le,2);{var Te=j=>{var E=ct();A("click",E,()=>ye(e(s).id)),_(j,E)};D(Re,j=>{e(s),o(()=>e(s).is_open)&&j(Te)})}K((j,E)=>{me(de,"href",j),me(le,"href",E)},[()=>(pe(l),e(s),o(()=>l.reportCsvUrl(e(s).id))),()=>(pe(l),e(s),o(()=>l.reportPdfUrl(e(s).id)))]),_(h,C)};D(Ne,h=>{X()&&h(Pe)})}n(oe),n(f),K(()=>{w(u,(e(s),o(()=>e(s).title))),w(Me,`${e(s),o(()=>e(s).department)??""} ${e(s),o(()=>e(s).subject?"- "+e(s).subject:"")??""} - ${e(s),o(()=>e(s).session_date)??""}`),_e(O,1,`badge ${e(s),o(()=>e(s).is_open?"badge-green":"badge-gray")??""}`),w(Ue,(e(s),o(()=>e(s).is_open?"Open":"Closed")))}),_($,f)}),_(t,a)};D(Fe,t=>{e(W)?t(Oe):(e(F),o(()=>e(F).length===0)?t(Ee,1):t(Le,-1))})}n(ie),n(ae),n(I),K(t=>{w($e,`Window: ${t??""}`),_e(V,1,`badge ${e(c),o(()=>{var a;return(a=e(c))!=null&&a.window_open_now?"badge-green":"badge-yellow"})??""}`),w(ke,(e(c),o(()=>{var a;return(a=e(c))!=null&&a.window_open_now?"Open now":"Window closed"}))),w(je,`Status: ${e(U),o(()=>{var a;return(a=e(U))!=null&&a.registered?"Registered":"Not registered"})??""}`)},[()=>(e(c),o(()=>e(c)?`${String(e(c).open_hour).padStart(2,"0")}:${String(e(c).open_minute).padStart(2,"0")} - ${String(e(c).close_hour).padStart(2,"0")}:${String(e(c).close_minute).padStart(2,"0")}`:"Loading"))]),A("click",se,xe),A("click",Ce,we),_(ge,I),Ve(),be()}export{wt as component};
diff --git a/frontend/build/_app/immutable/nodes/5.C9HZ504C.js b/frontend/build/_app/immutable/nodes/5.C9HZ504C.js
new file mode 100644
index 0000000000000000000000000000000000000000..8343b0ca3aaca035ba1f038a8d86c73d315d4507
--- /dev/null
+++ b/frontend/build/_app/immutable/nodes/5.C9HZ504C.js
@@ -0,0 +1,2 @@
+import{p as Nt,l as F,n as f,w as M,g as t,b as jt,k as o,s as p,u as n,r as s,t as E,c as m,d as Bt,m as y,i as b,e as q,j as h,f as te,$ as ee,z as ae,x as se,o as ut,q as re,v as oe,y as ie,aF as ne}from"../chunks/CPYeCQyA.js";import{i as Lt,s as Ot,e as Z,B as tt,d as ht,C as Mt,D as $t,E as le,F as _t}from"../chunks/w6MJq1hy.js";import{s as ve,a as Tt}from"../chunks/B8pdRQVM.js";import{i as $}from"../chunks/Dn3K5EfF.js";import{h as ce}from"../chunks/BkDXvb8s.js";import{s as Dt}from"../chunks/CVLLvaPT.js";import{s as Ht}from"../chunks/Ctk_UN2T.js";import{b as de}from"../chunks/bi-kDXkt.js";import{b as pe}from"../chunks/BT_qo9Cc.js";import{b as Et}from"../chunks/BjvCllst.js";import{t as ft}from"../chunks/BprE2qdV.js";import{t as me}from"../chunks/BRcwu1Xf.js";import{h as ue}from"../chunks/BcWCHg3k.js";import{p as It}from"../chunks/IZLUbDXh.js";import{r as he,c as _e}from"../chunks/CBwNur1x.js";import{L as fe}from"../chunks/DqZx4L8N.js";var xe=h('
MAC runs on local GPUs — responses stay on campus.
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diff --git a/frontend/build/_app/immutable/nodes/6.D2MIQddZ.js b/frontend/build/_app/immutable/nodes/6.D2MIQddZ.js
new file mode 100644
index 0000000000000000000000000000000000000000..c0c282d0df05dc54bbaff97c2899b81e3d7d6d4c
--- /dev/null
+++ b/frontend/build/_app/immutable/nodes/6.D2MIQddZ.js
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+import{p as fe,l as qt,b as ye,t as C,e as K,c as d,d as he,g as t,j as c,m as P,k as a,s as r,r as e,i as p,u as i,n as y,v as At,x as ke,q as we,w as f,y as $e}from"../chunks/CPYeCQyA.js";import{i as Te,f as _t,s as rt,e as ut,d as Pt}from"../chunks/w6MJq1hy.js";import{s as Ce}from"../chunks/B8pdRQVM.js";import{i as h}from"../chunks/Dn3K5EfF.js";import{r as Re,s as Le}from"../chunks/CVLLvaPT.js";import{s as st}from"../chunks/Ctk_UN2T.js";import{s as Et}from"../chunks/DBG6RdyR.js";import{b as Me}from"../chunks/bi-kDXkt.js";import{b as Ne}from"../chunks/BT_qo9Cc.js";import{o as Ae}from"../chunks/BprE2qdV.js";import"../chunks/BOGzIfIj.js";var Pe=c('· ',1),Ee=c('
Loading…
'),Ue=c('
🖥️
No nodes yet.
Run worker_agent.py on a worker PC to add one.
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GPU
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'),De=c(''),Fe=c('
'),Be=c(''),Ie=c(''),qe=c(''),ze=c('
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Deployed models
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Loading…
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No data yet
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',1),Qe=c('
GPU
CPU / RAM
GPU utilisation history
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👈
Select a node to see details
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Token generated — copy it now, it won't be shown again:
`),ea=c('
No tokens generated yet.
'),aa=c('
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Generate enrollment token
Token history
Adding a worker PC
Generate a token above (expires after the selected time)
On the worker PC, install dependencies: pip install httpx psutil pynvml
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diff --git a/frontend/build/_app/immutable/nodes/8.C5alKB8I.js b/frontend/build/_app/immutable/nodes/8.C5alKB8I.js
new file mode 100644
index 0000000000000000000000000000000000000000..ba42e9233dfbb33ec58a2a5dc5ebcb228f83a7fb
--- /dev/null
+++ b/frontend/build/_app/immutable/nodes/8.C5alKB8I.js
@@ -0,0 +1 @@
+import{p as $e,l as T,b as Ce,t as $,c as p,d as Me,g as s,f as Be,u as v,i as n,j,m as y,k as t,$ as Re,r as e,s as a,n as q,Z as Se,v as Es,x as Is,w as C,y as Te,aE as qe}from"../chunks/CPYeCQyA.js";import{i as Ae,a as Le,e as G,d as Y}from"../chunks/w6MJq1hy.js";import{s as Ne,a as Hs}from"../chunks/B8pdRQVM.js";import{i as A}from"../chunks/Dn3K5EfF.js";import{h as De}from"../chunks/BkDXvb8s.js";import{s as Q}from"../chunks/CVLLvaPT.js";import{s as Oe}from"../chunks/Ctk_UN2T.js";import{s as K}from"../chunks/DBG6RdyR.js";import{t as Ee}from"../chunks/BRcwu1Xf.js";import{h as Ps,f as h,a as Us}from"../chunks/CBwNur1x.js";var Ie=j("· ",1),He=j(''),Pe=j('
'),Ue=j('
'),ze=j('
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Quota Overview
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No activity yet
Your usage will appear here as you chat
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No data yet. Start a chat to see model usage.
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'),Ze=j(''),Fe=j('
No activity yet. Send your first message in Chat.
'),Je=j('
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Model
Tokens
Latency
Time
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Tokens Today
Requests / Hour
Total TokensAll time
Total Requests
Activity HeatmapYour usage pattern over recent weeks
LessMore
Model UsageBy token consumption
Recent Activity
',1),st=j('
Welcome back,
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@@ -0,0 +1 @@
+import{p as Qt,l as qt,b as Nt,g as t,e as E,c as d,d as Rt,f as zt,k as s,s as o,n as i,j as _,m as u,$ as Et,r,z as nt,u as c,q as Lt,v as ct,t as Y,i as x}from"../chunks/CPYeCQyA.js";import{i as Mt,a as Pt,b as Tt,s as w,h as O,e as pt,d as vt}from"../chunks/w6MJq1hy.js";import{s as Wt,a as dt}from"../chunks/B8pdRQVM.js";import{i as C}from"../chunks/Dn3K5EfF.js";import{h as Bt}from"../chunks/BkDXvb8s.js";import{r as Z}from"../chunks/CVLLvaPT.js";import{s as Gt}from"../chunks/Ctk_UN2T.js";import{b as Q}from"../chunks/bi-kDXkt.js";import{b as Ht}from"../chunks/BT_qo9Cc.js";var It=_(''),Jt=_('
Loading...
'),Kt=_('
No doubts yet.
'),Ut=_(''),Vt=_('
'),Xt=_('
No replies yet.
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',1),te=_('
Select a doubt to read the thread.
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Doubts
Questions, replies, and department help.
Ask Question
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