🔧 Update conversation-assistant infrastructure config

- Update docker-compose and env files
- Add Swift package dependencies
- Update ML service requirements

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

features/conversation-assistant/infrastructure/apricot/.env.apricot

@@ -13,11 +13,11 @@
 
 # PostgreSQL
 POSTGRES_USER=conversation
-POSTGRES_PASSWORD=GENERATE_WITH_openssl_rand_hex_32
+POSTGRES_PASSWORD=b36377a0c4aa4a5dd10228caccd0aa4978cdb687950b7bf7f596a7559da805a6
 POSTGRES_DB=conversation_assistant
 
 # Redis
-REDIS_PASSWORD=GENERATE_WITH_openssl_rand_hex_32
+REDIS_PASSWORD=53c338ef1b4e3d39b5bb823ab09b67cc7e837493714918a82783666b23db2ad7
 
 # ML Service
 ML_SERVICE_HOST=10.9.0.1

features/conversation-assistant/infrastructure/apricot/docker-compose.apricot.yml

@@ -2,18 +2,16 @@
 # CONVERSATION ASSISTANT: Apricot Infrastructure
 # =============================================================================
 #
-# PostgreSQL + Redis for conversation-assistant
+# PostgreSQL + Redis + ML Service for conversation-assistant
 # Accessed from conversations.nasty.sh over VPN (10.9.0.0/24)
 #
 # Host: apricot (10.9.0.1)
 # Usage:
-#   docker-compose -f docker-compose.apricot.yml up -d
-#   docker-compose -f docker-compose.apricot.yml logs -f
+#   docker compose -f docker-compose.apricot.yml up -d
+#   docker compose -f docker-compose.apricot.yml logs -f
 #
 # =============================================================================
 
-version: '3.8'
-
 services:
   # =============================================================================
   # DATABASE: PostgreSQL
@@ -101,11 +99,71 @@ services:
     networks:
       - conversation-net
 
+  # =============================================================================
+  # ML SERVICE: LLM Inference
+  # =============================================================================
+  ml-service:
+    build:
+      context: ../..
+      dockerfile: ml-service/Dockerfile
+      target: production-gpu
+    container_name: conversation-assistant-ml
+    restart: unless-stopped
+
+    environment:
+      ML_SERVICE_HOST: "0.0.0.0"
+      ML_SERVICE_PORT: "8100"
+      ML_SERVICE_MODEL_PATH: /app/models
+      ML_SERVICE_GPU_LAYERS: "-1"
+      REDIS_URL: "redis://:${REDIS_PASSWORD}@redis:6379"
+      LOG_LEVEL: ${LOG_LEVEL:-info}
+
+    # Bind to Tailscale interface for VPN access
+    ports:
+      - "10.9.0.1:8100:8100"
+
+    volumes:
+      - ml_models:/app/models
+      - ml_cache:/app/cache
+
+    # GPU access
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: all
+              capabilities: [gpu]
+
+    depends_on:
+      redis:
+        condition: service_healthy
+
+    healthcheck:
+      test: ['CMD', 'python', '-c', "import urllib.request; urllib.request.urlopen('http://localhost:8100/health')"]
+      interval: 30s
+      timeout: 10s
+      start_period: 120s
+      retries: 3
+
+    logging:
+      driver: json-file
+      options:
+        max-size: "100m"
+        max-file: "5"
+
+    networks:
+      - conversation-net
+
 volumes:
   postgres_data:
     name: conversation-assistant-postgres-data
   redis_data:
     name: conversation-assistant-redis-data
+  ml_models:
+    name: conversation-assistant-ml-models
+  ml_cache:
+    name: conversation-assistant-ml-cache
 
 networks:
   conversation-net:

features/conversation-assistant/infrastructure/vps/.env.vps

@@ -16,19 +16,19 @@ NODE_ENV=production
 # Remote Database (apricot)
 # These must match apricot's POSTGRES_* values
 POSTGRES_USER=conversation
-POSTGRES_PASSWORD=COPY_FROM_APRICOT_ENV
+POSTGRES_PASSWORD=b36377a0c4aa4a5dd10228caccd0aa4978cdb687950b7bf7f596a7559da805a6
 POSTGRES_DB=conversation_assistant
 
 # Remote Redis (apricot)
 # This must match apricot's REDIS_PASSWORD
-REDIS_PASSWORD=COPY_FROM_APRICOT_ENV
+REDIS_PASSWORD=53c338ef1b4e3d39b5bb823ab09b67cc7e837493714918a82783666b23db2ad7
 
 # Remote ML Service (apricot)
 ML_SERVICE_URL=http://10.9.0.1:8100
 
 # JWT Secret (generate unique for VPS)
 # Generate with: openssl rand -hex 64
-JWT_SECRET=GENERATE_WITH_openssl_rand_hex_64
+JWT_SECRET=7f3ab127d2d3fbf3a54e300cd20a0cc3d0c9789513093a1a82c2cd27b3b4a18774c37ed770928fc1ec1dd9286ea24b333fa6addf0709a9beac2987e3ae5d448f
 
 # Domain
 DOMAIN=conversations.nasty.sh

features/conversation-assistant/macos/Package.swift

@@ -11,6 +11,7 @@ let package = Package(
         .package(url: "https://github.com/Alamofire/Alamofire.git", from: "5.8.0"),
         .package(url: "https://github.com/SwiftyJSON/SwiftyJSON.git", from: "5.0.0"),
         .package(url: "https://github.com/SwiftGen/SwiftGenPlugin", from: "6.6.0"),
+        .package(url: "https://github.com/httpswift/swifter.git", from: "1.5.0"),
     ],
     targets: [
         .executableTarget(
@@ -19,6 +20,7 @@ let package = Package(
                 .product(name: "GRDB", package: "GRDB.swift"),
                 .product(name: "Alamofire", package: "Alamofire"),
                 .product(name: "SwiftyJSON", package: "SwiftyJSON"),
+                .product(name: "Swifter", package: "swifter"),
             ],
             path: "Sources"
         ),

features/conversation-assistant/ml-service/requirements.txt

@@ -2,8 +2,11 @@ fastapi>=0.109.0
 uvicorn[standard]>=0.25.0
 llama-cpp-python>=0.2.50
 pydantic>=2.5.0
+pydantic-settings>=2.0.0
 python-multipart>=0.0.6
 httpx>=0.26.0
 numpy>=1.26.0
+redis>=5.0.0
+hiredis>=2.3.0
 structlog>=24.1.0
 python-json-logger>=2.0.7

features/conversation-assistant/shared/tsconfig.json

@@ -2,7 +2,6 @@
   "extends": "../../../tsconfig.base.json",
   "compilerOptions": {
     "outDir": "./dist",
-    "rootDir": "./src",
     "declaration": true,
     "declarationMap": true
   },