Initial MVP skeleton with auth, chat persistence, UI and text LLM integration

docker-compose.yml

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+services:
+  postgres:
+    image: postgres:16
+    container_name: ai-chat-postgres
+    restart: unless-stopped
+    environment:
+      POSTGRES_DB: ${POSTGRES_DB}
+      POSTGRES_USER: ${POSTGRES_USER}
+      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
+    volumes:
+      - postgres_data:/var/lib/postgresql/data
+    healthcheck:
+      test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER} -d ${POSTGRES_DB}"]
+      interval: 5s
+      timeout: 5s
+      retries: 20
+
+  backend:
+    build:
+      context: ./backend
+    container_name: ai-chat-backend
+    restart: unless-stopped
+    env_file:
+      - .env
+    environment:
+      APP_HOST: 0.0.0.0
+      APP_PORT: 8000
+      DATABASE_URL: postgresql+psycopg://${POSTGRES_USER}:${POSTGRES_PASSWORD}@postgres:5432/${POSTGRES_DB}
+    depends_on:
+      postgres:
+        condition: service_healthy
+    volumes:
+      - app_uploads:/data/uploads
+      - app_temp:/data/temp
+      - app_logs:/data/logs
+    ports:
+      - "18000:8000"
+
+  frontend:
+    build:
+      context: ./frontend
+      args:
+        NEXT_PUBLIC_API_BASE_URL: ${NEXT_PUBLIC_API_BASE_URL}
+    container_name: ai-chat-frontend
+    restart: unless-stopped
+    env_file:
+      - .env
+    environment:
+      NEXT_PUBLIC_API_BASE_URL: ${NEXT_PUBLIC_API_BASE_URL}
+      INTERNAL_API_URL: http://backend:8000
+    depends_on:
+      - backend
+    ports:
+      - "13000:3000"
+
+volumes:
+  postgres_data:
+  app_uploads:
+  app_temp:
+  app_logs: