690602:1334 ADR-033-233 #03

frontend/app/(admin)/admin/ai/page.tsx

@@ -24,7 +24,12 @@ import { Textarea } from '@/components/ui/textarea';
 import { Progress } from '@/components/ui/progress';
 import { useAiStatus, useToggleAiFeatures, useAiHealth } from '@/hooks/use-ai-status';
 import { projectService } from '@/lib/services/project.service';
-import { adminAiService, AiSandboxJobResult, AiAvailableModel } from '@/lib/services/admin-ai.service';
+import {
+  adminAiService,
+  AiSandboxJobResult,
+  AiAvailableModel,
+  AiRagCitation,
+} from '@/lib/services/admin-ai.service';
 import { toast } from 'sonner';
 import OcrSandboxPromptManager from '@/components/admin/ai/OcrSandboxPromptManager';
 import OcrEngineSelector from '@/components/admin/ai/OcrEngineSelector';
@@ -35,6 +40,48 @@ interface SandboxProject {
   projectCode: string;
 }
 
+interface VramLoadedModelView {
+  modelId: string;
+  modelName: string;
+  vramUsageMB?: number;
+}
+
+function ensureArray<T>(value: unknown): T[] {
+  return Array.isArray(value) ? value : [];
+}
+
+function normalizeLoadedModels(value: unknown): VramLoadedModelView[] {
+  if (!Array.isArray(value)) {
+    return [];
+  }
+  return value.map((item, index) => {
+    if (typeof item === 'string') {
+      return {
+        modelId: `${item}-${index}`,
+        modelName: item,
+      };
+    }
+    if (item && typeof item === 'object') {
+      const model = item as {
+        modelId?: string;
+        modelName?: string;
+        name?: string;
+        vramUsageMB?: number;
+      };
+      const modelName = model.modelName ?? model.name ?? `model-${index + 1}`;
+      return {
+        modelId: model.modelId ?? modelName,
+        modelName,
+        vramUsageMB: model.vramUsageMB,
+      };
+    }
+    return {
+      modelId: `unknown-${index}`,
+      modelName: `Unknown Model ${index + 1}`,
+    };
+  });
+}
+
 export default function AiAdminConsolePage() {
   const { data, isLoading, isError, refetch, isFetching } = useAiStatus();
   const { data: health, isLoading: isHealthLoading, refetch: refetchHealth } = useAiHealth();
@@ -56,7 +103,7 @@ export default function AiAdminConsolePage() {
       return await adminAiService.getAvailableModels();
     },
   });
-  const availableModels = aiModelsData?.models ?? [];
+  const availableModels = ensureArray<AiAvailableModel>(aiModelsData?.models);
   const activeModel = aiModelsData?.activeModel ?? '';
 
   // VRAM Monitoring State (T034, T036, US2)
@@ -75,6 +122,13 @@ export default function AiAdminConsolePage() {
       return res as SandboxProject[];
     },
   });
+  const healthOllamaModels = ensureArray<string>(health?.ollama?.models);
+  const healthQdrantCollections = ensureArray<string>(health?.qdrant?.collections);
+  const vramLoadedModels = normalizeLoadedModels(vramStatus?.loadedModels);
+  const sandboxProjects = ensureArray<SandboxProject>(projects);
+  const sandboxCitations = ensureArray<AiRagCitation>(
+    sandboxJobResult?.citations
+  );
 
   const handleToggle = async (enabled: boolean): Promise<void> => {
     await toggleMutation.mutateAsync(enabled);
@@ -242,8 +296,8 @@ export default function AiAdminConsolePage() {
                 <div className="space-y-1">
                   <span className="text-xs text-muted-foreground">โมเดลที่โหลดอยู่:</span>
                   <div className="flex flex-wrap gap-1">
-                    {health?.ollama?.models && health.ollama.models.length > 0 ? (
+                    {healthOllamaModels.length > 0 ? (
-                      health.ollama.models.map((m) => (
+                      healthOllamaModels.map((m) => (
                         <Badge key={m} variant="secondary" className="text-[10px] py-0 px-1">
                           {m}
                         </Badge>
@@ -274,8 +328,8 @@ export default function AiAdminConsolePage() {
                 <div className="space-y-1">
                   <span className="text-xs text-muted-foreground">คอลเลกชัน:</span>
                   <div className="flex flex-wrap gap-1">
-                    {health?.qdrant?.collections && health.qdrant.collections.length > 0 ? (
+                    {healthQdrantCollections.length > 0 ? (
-                      health.qdrant.collections.map((c) => (
+                      healthQdrantCollections.map((c) => (
                         <Badge key={c} variant="outline" className="text-[10px] py-0 px-1 bg-background/30">
                           {c}
                         </Badge>
@@ -394,10 +448,13 @@ export default function AiAdminConsolePage() {
                       <div className="space-y-1 text-xs">
                         <span className="text-muted-foreground block">โมเดลที่โหลดบน GPU ในปัจจุบัน:</span>
                         <div className="flex flex-wrap gap-1 mt-1">
-                          {vramStatus.loadedModels && vramStatus.loadedModels.length > 0 ? (
+                          {vramLoadedModels.length > 0 ? (
-                            vramStatus.loadedModels.map((m) => (
+                            vramLoadedModels.map((m) => (
-                              <Badge key={m.modelId || m.modelName} className="bg-primary/10 text-primary border-none hover:bg-primary/20 text-[10px]">
+                              <Badge key={m.modelId} className="bg-primary/10 text-primary border-none hover:bg-primary/20 text-[10px]">
-                                {m.modelName} ({m.vramUsageMB} MB)
+                                {m.modelName}
+                                {typeof m.vramUsageMB === 'number'
+                                  ? ` (${m.vramUsageMB} MB)`
+                                  : ''}
                               </Badge>
                             ))
                           ) : (
@@ -627,7 +684,7 @@ export default function AiAdminConsolePage() {
                         <SelectValue placeholder="-- กรุณาเลือกโครงการ --" />
                       </SelectTrigger>
                       <SelectContent>
-                        {projects.map((proj) => (
+                        {sandboxProjects.map((proj) => (
                           <SelectItem key={proj.publicId} value={proj.publicId}>
                             {proj.projectName} ({proj.projectCode})
                           </SelectItem>
@@ -728,9 +785,9 @@ export default function AiAdminConsolePage() {
                       </CardTitle>
                     </CardHeader>
                     <CardContent>
-                      {sandboxJobResult.citations && sandboxJobResult.citations.length > 0 ? (
+                      {sandboxCitations.length > 0 ? (
                         <div className="grid gap-3 sm:grid-cols-1">
-                          {sandboxJobResult.citations.map((cite, index) => (
+                          {sandboxCitations.map((cite, index) => (
                             <div
                               key={cite.pointId || index}
                               className="rounded-lg border border-border/40 bg-background/30 p-3 hover:bg-background/60 transition-colors space-y-2"

frontend/lib/services/admin-ai.service.ts

@@ -9,6 +9,8 @@
 // - 2026-05-29: เพิ่ม ocrText, ocrUsed, promptVersionUsed ใน AiSandboxJobResult
 // - 2026-05-30: เพิ่มเมธอด getOcrEngines และ selectOcrEngine สำหรับจัดการ OCR engines (T017, T018, US1)
 // - 2026-05-30: เพิ่ม getVramStatus และปรับปรุง getAvailableModels/setActiveModel/addModel ให้เรียกใช้ endpoints ใหม่ที่มี VRAM capacity check (T031-T034, US2)
+// - 2026-06-02: แก้ endpoint getAvailableModels ให้ตรงกับ backend admin route (/ai/admin/models)
+// - 2026-06-02: normalize VRAM response ให้รองรับ field names จาก backend ปัจจุบันและรูปแบบ loadedModels แบบเดิม
 
 import api from '../api/client';
 
@@ -91,6 +93,20 @@ export interface VramStatusResponse {
   lastUpdated: string;
 }
 
+interface RawVramStatusResponse {
+  totalVRAMMB?: number;
+  usedVRAMMB?: number;
+  usagePercent?: number;
+  thresholdPercent?: number;
+  loadedModels?: Array<string | LoadedModelInfo>;
+  canLoadModel?: boolean;
+  lastUpdated?: string;
+  totalVramMb?: number;
+  usedVramMb?: number;
+  freeVramMb?: number;
+  hasCapacity?: boolean;
+}
+
 export interface AiAvailableModel {
   id?: number;
   modelId?: string;
@@ -121,6 +137,43 @@ const extractData = <T>(value: unknown): T => {
   return value as T;
 };
 
+const normalizeLoadedModels = (
+  models: Array<string | LoadedModelInfo> | undefined
+): LoadedModelInfo[] => {
+  if (!Array.isArray(models)) {
+    return [];
+  }
+  return models.map((model, index) => {
+    if (typeof model === 'string') {
+      return {
+        modelId: `${model}-${index}`,
+        modelName: model,
+        vramUsageMB: 0,
+      };
+    }
+    return model;
+  });
+};
+
+const normalizeVramStatus = (value: unknown): VramStatusResponse => {
+  const raw = extractData<RawVramStatusResponse>(value);
+  const totalVRAMMB = raw.totalVRAMMB ?? raw.totalVramMb ?? 0;
+  const usedVRAMMB = raw.usedVRAMMB ?? raw.usedVramMb ?? 0;
+  const usagePercent =
+    raw.usagePercent ??
+    (totalVRAMMB > 0 ? Math.round((usedVRAMMB / totalVRAMMB) * 100) : 0);
+
+  return {
+    totalVRAMMB,
+    usedVRAMMB,
+    usagePercent,
+    thresholdPercent: raw.thresholdPercent ?? 90,
+    loadedModels: normalizeLoadedModels(raw.loadedModels),
+    canLoadModel: raw.canLoadModel ?? raw.hasCapacity ?? false,
+    lastUpdated: raw.lastUpdated ?? new Date().toISOString(),
+  };
+};
+
 /** Service สำหรับเรียก AI Admin Console API ผ่าน DMS Backend เท่านั้น */
 export const adminAiService = {
   getStatus: async (): Promise<AiAdminSettings> => {
@@ -199,7 +252,7 @@ export const adminAiService = {
   // --- AI Model Management (ADR-027, US2) ---
 
   getAvailableModels: async (): Promise<AiModelsResponse> => {
-    const { data } = await api.get('/ai/models');
+    const { data } = await api.get('/ai/admin/models');
     return extractData<AiModelsResponse>(data);
   },
 
@@ -215,7 +268,7 @@ export const adminAiService = {
 
   getVramStatus: async (): Promise<VramStatusResponse> => {
     const { data } = await api.get('/ai/vram/status');
-    return extractData<VramStatusResponse>(data);
+    return normalizeVramStatus(data);
   },
 
   addModel: async (

specs/04-Infrastructure-OPS/04-00-docker-compose/ASUSTOR/monitoring/o.yml

@@ -0,0 +1,240 @@
+# File: /volume1/np-dms/monitoring/docker-compose.yml
+# DMS Container v1.8.6: Application name: lcbp3-monitoring
+# Deploy on: ASUSTOR AS5403T
+# Services: prometheus, grafana, node-exporter, cadvisor, uptime-kuma, loki, promtail
+
+x-restart: &restart_policy
+  restart: unless-stopped
+
+x-logging: &default_logging
+  logging:
+    driver: "json-file"
+    options:
+      max-size: "10m"
+      max-file: "5"
+
+name: lcbp3-monitoring
+
+networks:
+  lcbp3:
+    external: true
+
+services:
+  # ----------------------------------------------------------------
+  # 1. Prometheus (Metrics Collection & Storage)
+  # ----------------------------------------------------------------
+  prometheus:
+    <<: [*restart_policy, *default_logging]
+    image: prom/prometheus:v2.48.0
+    container_name: prometheus
+    deploy:
+      resources:
+        limits:
+          cpus: "1.0"
+          memory: 1G
+        reservations:
+          cpus: "0.25"
+          memory: 256M
+    environment:
+      TZ: "Asia/Bangkok"
+    command:
+      - "--config.file=/etc/prometheus/prometheus.yml"
+      - "--storage.tsdb.path=/prometheus"
+      - "--storage.tsdb.retention.time=30d"
+      - "--web.enable-lifecycle"
+    ports:
+      - "9090:9090"
+    networks:
+      - lcbp3
+    volumes:
+      - "/volume1/np-dms/monitoring/prometheus/config:/etc/prometheus:ro"
+      - "/volume1/np-dms/monitoring/prometheus/data:/prometheus"
+    healthcheck:
+      test: ["CMD", "wget", "--spider", "-q", "http://localhost:9090/-/healthy"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+
+  # ----------------------------------------------------------------
+  # 2. Grafana (Dashboard & Visualization)
+  # ----------------------------------------------------------------
+  grafana:
+    <<: [*restart_policy, *default_logging]
+    image: grafana/grafana:10.2.2
+    container_name: grafana
+    deploy:
+      resources:
+        limits:
+          cpus: "1.0"
+          memory: 512M
+        reservations:
+          cpus: "0.25"
+          memory: 128M
+    env_file:
+      - .env
+    environment:
+      TZ: "Asia/Bangkok"
+      GF_SECURITY_ADMIN_USER: admin
+      GF_SECURITY_ADMIN_PASSWORD: ${GRAFANA_ADMIN_PASSWORD:?GRAFANA_ADMIN_PASSWORD required}
+      GF_SERVER_ROOT_URL: "https://grafana.np-dms.work"
+      GF_INSTALL_PLUGINS: grafana-clock-panel,grafana-piechart-panel
+    ports:
+      - "3003:3000"
+    networks:
+      - lcbp3
+    volumes:
+      - "/volume1/np-dms/monitoring/grafana/data:/var/lib/grafana"
+    depends_on:
+      - prometheus
+    healthcheck:
+      test:
+        [
+          "CMD-SHELL",
+          "wget --spider -q http://localhost:3000/api/health || exit 1",
+        ]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+
+  # ----------------------------------------------------------------
+  # 3. Uptime Kuma (Service Availability Monitoring)
+  # ----------------------------------------------------------------
+  uptime-kuma:
+    <<: [*restart_policy, *default_logging]
+    image: louislam/uptime-kuma:1
+    container_name: uptime-kuma
+    deploy:
+      resources:
+        limits:
+          cpus: "0.5"
+          memory: 256M
+    environment:
+      TZ: "Asia/Bangkok"
+    ports:
+      - "3001:3001"
+    networks:
+      - lcbp3
+    volumes:
+      - "/volume1/np-dms/monitoring/uptime-kuma/data:/app/data"
+    healthcheck:
+      test:
+        ["CMD-SHELL", "curl -f http://localhost:3001/api/entry-page || exit 1"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+
+  # ----------------------------------------------------------------
+  # 4. Node Exporter (Host Metrics - ASUSTOR)
+  # ----------------------------------------------------------------
+  node-exporter:
+    <<: [*restart_policy, *default_logging]
+    image: prom/node-exporter:v1.7.0
+    container_name: node-exporter
+    deploy:
+      resources:
+        limits:
+          cpus: "0.5"
+          memory: 128M
+    environment:
+      TZ: "Asia/Bangkok"
+    command:
+      - "--path.procfs=/host/proc"
+      - "--path.sysfs=/host/sys"
+      - "--collector.filesystem.mount-points-exclude=^/(sys|proc|dev|host|etc)($$|/)"
+    ports:
+      - "9100:9100"
+    networks:
+      - lcbp3
+    volumes:
+      - /proc:/host/proc:ro
+      - /sys:/host/sys:ro
+      - /:/rootfs:ro
+    healthcheck:
+      test: ["CMD", "wget", "--spider", "-q", "http://localhost:9100/metrics"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+
+  # ----------------------------------------------------------------
+  # 5. cAdvisor (Container Metrics - ASUSTOR)
+  # ----------------------------------------------------------------
+  cadvisor:
+    <<: [*restart_policy, *default_logging]
+    image: gcr.io/cadvisor/cadvisor:v0.47.2
+    container_name: cadvisor
+    deploy:
+      resources:
+        limits:
+          cpus: "0.5"
+          memory: 256M
+    environment:
+      TZ: "Asia/Bangkok"
+    # H4: cAdvisor binds 8080  container  map  8088  host
+    ports:
+      - "8088:8080"
+    networks:
+      - lcbp3
+    volumes:
+      - /:/rootfs:ro
+      - /var/run:/var/run:ro
+      - /sys:/sys:ro
+      - /var/lib/docker/:/var/lib/docker:ro
+    healthcheck:
+      test: ["CMD", "wget", "--spider", "-q", "http://localhost:8080/healthz"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+
+  # ----------------------------------------------------------------
+  # 6. Loki (Log Aggregation)
+  # ----------------------------------------------------------------
+  loki:
+    <<: [*restart_policy, *default_logging]
+    image: grafana/loki:2.9.0
+    container_name: loki
+    deploy:
+      resources:
+        limits:
+          cpus: "0.5"
+          memory: 512M
+    environment:
+      TZ: "Asia/Bangkok"
+    command: -config.file=/etc/loki/local-config.yaml
+    ports:
+      - "3100:3100"
+    networks:
+      - lcbp3
+    volumes:
+      - "/volume1/np-dms/monitoring/loki/data:/loki"
+    healthcheck:
+      test: ["CMD", "wget", "--spider", "-q", "http://localhost:3100/ready"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+
+  # ----------------------------------------------------------------
+  # 7. Promtail (Log Shipper)
+  # ----------------------------------------------------------------
+  promtail:
+    <<: [*restart_policy, *default_logging]
+    image: grafana/promtail:2.9.0
+    container_name: promtail
+    # L5:  root  /var/lib/docker/containers
+    #  mount  read-only
+    user: "0:0"
+    deploy:
+      resources:
+        limits:
+          cpus: "0.5"
+          memory: 256M
+    environment:
+      TZ: "Asia/Bangkok"
+    command: -config.file=/etc/promtail/promtail-config.yml
+    networks:
+      - lcbp3
+    volumes:
+      - "/volume1/np-dms/monitoring/promtail/config:/etc/promtail:ro"
+      - "/var/run/docker.sock:/var/run/docker.sock:ro"
+      - "/var/lib/docker/containers:/var/lib/docker/containers:ro"
+    depends_on:
+      - loki

specs/04-Infrastructure-OPS/04-00-docker-compose/ASUSTOR/monitoring/prometheus/config/prometheus.bak.yml

@@ -0,0 +1,60 @@
+global:
+  scrape_interval: 15s
+  evaluation_interval: 15s
+
+scrape_configs:
+  # Prometheus self-monitoring (ASUSTOR)
+  - job_name: "prometheus"
+    static_configs:
+      - targets: ["localhost:9090"]
+
+  # ============================================
+  # ASUSTOR Metrics (Local)
+  # ============================================
+
+  # Host metrics from Node Exporter (ASUSTOR)
+  - job_name: "asustor-node"
+    static_configs:
+      - targets: ["node-exporter:9100"]
+        labels:
+          host: "asustor"
+
+  # Container metrics from cAdvisor (ASUSTOR)
+  - job_name: "asustor-cadvisor"
+    static_configs:
+      - targets: ["cadvisor:8080"]
+        labels:
+          host: "asustor"
+
+  # ============================================
+  # QNAP Metrics (Remote - 192.168.10.8)
+  # ============================================
+
+  # Host metrics from Node Exporter (QNAP)
+  - job_name: "qnap-node"
+    static_configs:
+      - targets: ["192.168.10.8:9100"]
+        labels:
+          host: "qnap"
+
+  # Container metrics from cAdvisor (QNAP)
+  - job_name: "qnap-cadvisor"
+    static_configs:
+      - targets: ["192.168.10.8:8088"]
+        labels:
+          host: "qnap"
+
+  # Backend NestJS application (QNAP)
+  - job_name: "backend"
+    static_configs:
+      - targets: ["192.168.10.8:3000"]
+        labels:
+          host: "qnap"
+    metrics_path: "/metrics"
+
+  # MariaDB Exporter (optional - QNAP)
+  - job_name: "mariadb"
+    static_configs:
+      - targets: ["192.168.10.8:9104"]
+        labels:
+          host: "qnap"

specs/04-Infrastructure-OPS/04-00-docker-compose/ASUSTOR/monitoring/prometheus/config/prometheus.yml

@@ -1,92 +1,98 @@
 # File: specs/04-Infrastructure-OPS/04-00-docker-compose/ASUSTOR/monitoring/prometheus/config/prometheus.yml
 # Prometheus Configuration — รัน บน ASUSTOR AS5403T (lcbp3-monitoring stack)
 # Change Log:
-# - 2026-06-02: Initial config — scrape jobs สำหรับ ASUSTOR local + Desk-5439 remote
+# - 2026-06-02: Initial config — merge จาก 0.yml (existing) + เพิ่ม ollama-metrics job
 #
 # Deploy path: /volume1/np-dms/monitoring/prometheus/config/prometheus.yml
 # Mount (read-only): docker-compose volume → /etc/prometheus/prometheus.yml
+#
+# NOTE: ไฟล์นี้รวม 0.yml (config เดิมบน ASUSTOR) + job ollama-metrics ใหม่
+#       เมื่อ deploy แล้วให้ลบ 0.yml ออก หรือ rename เป็น 0.yml.bak
 
 global:
-  scrape_interval: 15s       # ดึง metrics ทุก 15 วินาที (default)
+  scrape_interval: 15s
-  evaluation_interval: 15s   # ประเมิน rules ทุก 15 วินาที
+  evaluation_interval: 15s
-  scrape_timeout: 10s
-
-  # Labels ที่ติดไปกับทุก time series ที่ scrape ได้
-  external_labels:
-    environment: 'production'
-    cluster: 'lcbp3'
-
-# ─── Alerting (optional — เชื่อม Alertmanager เมื่อต้องการ) ──────────────────
-# alerting:
-#   alertmanagers:
-#     - static_configs:
-#         - targets: ['alertmanager:9093']
-
-# ─── Rules (optional) ────────────────────────────────────────────────────────
-# rule_files:
-#   - /etc/prometheus/rules/*.yml
 
 # ─── Scrape Jobs ─────────────────────────────────────────────────────────────
 scrape_configs:
   # ----------------------------------------------------------------
   # 1. Prometheus self-monitoring (ASUSTOR)
   # ----------------------------------------------------------------
-  - job_name: 'prometheus'
+  - job_name: "prometheus"
     static_configs:
-      - targets: ['localhost:9090']
+      - targets: ["localhost:9090"]
-        labels:
-          host: 'asustor'
-          service: 'prometheus'
 
-  # ----------------------------------------------------------------
+  # ============================================
-  # 2. Node Exporter — Host metrics ของ ASUSTOR
+  # ASUSTOR Metrics (Local)
-  # ----------------------------------------------------------------
+  # ============================================
-  - job_name: 'node-exporter-asustor'
+
+  # Host metrics from Node Exporter (ASUSTOR)
+  - job_name: "asustor-node"
     static_configs:
-      - targets: ['node-exporter:9100']
+      - targets: ["node-exporter:9100"]
         labels:
-          host: 'asustor'
+          host: "asustor"
-          service: 'node-exporter'
 
-  # ----------------------------------------------------------------
+  # Container metrics from cAdvisor (ASUSTOR)
-  # 3. cAdvisor — Container metrics ของ ASUSTOR
+  - job_name: "asustor-cadvisor"
-  # ----------------------------------------------------------------
-  - job_name: 'cadvisor-asustor'
     static_configs:
-      - targets: ['cadvisor:8080']
+      - targets: ["cadvisor:8080"]
         labels:
-          host: 'asustor'
+          host: "asustor"
-          service: 'cadvisor'
 
-  # ----------------------------------------------------------------
+  # ============================================
-  # 4. ollama-metrics (NorskHelsenett) — Ollama LLM metrics
+  # QNAP Metrics (Remote - 192.168.10.8)
-  #    รัน บน Desk-5439 (192.168.10.100) ตาม ADR-023A
+  # ============================================
-  #    sidecar expose /metrics บน port 9924
+
+  # Host metrics from Node Exporter (QNAP)
+  - job_name: "qnap-node"
+    static_configs:
+      - targets: ["192.168.10.8:9100"]
+        labels:
+          host: "qnap"
+
+  # Container metrics from cAdvisor (QNAP)
+  - job_name: "qnap-cadvisor"
+    static_configs:
+      - targets: ["192.168.10.8:8088"]
+        labels:
+          host: "qnap"
+
+  # Backend NestJS application (QNAP)
+  - job_name: "backend"
+    static_configs:
+      - targets: ["192.168.10.8:3000"]
+        labels:
+          host: "qnap"
+    metrics_path: "/metrics"
+
+  # MariaDB Exporter (optional - QNAP)
+  - job_name: "mariadb"
+    static_configs:
+      - targets: ["192.168.10.8:9104"]
+        labels:
+          host: "qnap"
+
+  # ============================================
+  # Desk-5439 Metrics (Remote - 192.168.10.100)
+  # ============================================
+
+  # ollama-metrics (NorskHelsenett) — Ollama LLM metrics
+  # sidecar รันบน Desk-5439 ตาม ADR-023A, expose /metrics บน port 9924
   #
   # Metrics ที่ collect:
   #   ollama_prompt_tokens_total       — prompt tokens รวม
   #   ollama_generated_tokens_total    — generated tokens รวม
   #   ollama_request_duration_seconds  — latency histogram
-  #      ollama_time_per_token_seconds    — inference speed
+  #   ollama_time_per_token_seconds    — inference speed (tok/s)
   #   ollama_loaded_models             — จำนวน model ใน VRAM
   #   ollama_model_loaded              — 1/0 per model
   #   ollama_model_ram_mb              — VRAM usage (MB) per model
-  # ----------------------------------------------------------------
+  - job_name: "ollama-metrics"
-  - job_name: 'ollama-metrics'
+    scrape_interval: 30s
-    scrape_interval: 30s   # Ollama metrics ไม่เปลี่ยนเร็ว — 30s เพียงพอ
     static_configs:
-      - targets: ['192.168.10.100:9924']
+      - targets: ["192.168.10.100:9924"]
         labels:
-          host: 'desk-5439'
+          host: "desk-5439"
-          service: 'ollama'
+          service: "ollama"
-          role: 'ai-inference'
+          role: "ai-inference"
-
-  # ----------------------------------------------------------------
-  # 5. Loki — Log aggregation health (ASUSTOR)
-  # ----------------------------------------------------------------
-  - job_name: 'loki'
-    static_configs:
-      - targets: ['loki:3100']
-        labels:
-          host: 'asustor'
-          service: 'loki'