update

test/helpers/docker.ts

@@ -7,6 +7,7 @@ const PROJECT_CONTAINERS = [
   'paddleocr-vl-cpu-test',
   'paddleocr-vl-full-test',
   'minicpm-test',
+  'nanonets-test',
 ];
 
 // Image configurations
@@ -74,6 +75,19 @@ export const IMAGES = {
     healthEndpoint: 'http://localhost:8000/health',
     healthTimeout: 600000, // 10 minutes for model loading (vLLM + PP-DocLayoutV2)
   } as IImageConfig,
+
+  // Nanonets-OCR-s - Document OCR optimized VLM (Qwen2.5-VL-3B fine-tuned)
+  nanonetsOcr: {
+    name: 'nanonets-ocr',
+    dockerfile: 'Dockerfile_nanonets_ocr',
+    buildContext: '.',
+    containerName: 'nanonets-test',
+    ports: ['8000:8000'],
+    volumes: ['ht-huggingface-cache:/root/.cache/huggingface'],
+    gpus: true,
+    healthEndpoint: 'http://localhost:8000/health',
+    healthTimeout: 300000, // 5 minutes for model loading
+  } as IImageConfig,
 };
 
 /**
@@ -383,3 +397,14 @@ export async function ensureQwen3Vl(): Promise<boolean> {
   // Then ensure Qwen3-VL 8B is pulled
   return ensureOllamaModel('qwen3-vl:8b');
 }
+
+/**
+ * Ensure Nanonets-OCR-s service is running (via vLLM)
+ * Document OCR optimized VLM based on Qwen2.5-VL-3B
+ */
+export async function ensureNanonetsOcr(): Promise<boolean> {
+  if (!isGpuAvailable()) {
+    console.log('[Docker] WARNING: Nanonets-OCR-s requires GPU, but none detected');
+  }
+  return ensureService(IMAGES.nanonetsOcr);
+}