fix: aggregate WeChat multi-image batches

tkmind-proxy-vision.test.mjs

@@ -83,6 +83,42 @@ test('buildVisionPayload marks one billable image analysis when vision succeeds'
   );
 });
 
+test('buildVisionPayload sends all current-turn images to Qwen in order', async () => {
+  const imageUrls = [
+    'https://m.tkmind.cn/MindSpace/user-1/public/wechat-mp/first.jpg',
+    'https://m.tkmind.cn/MindSpace/user-1/public/wechat-mp/second.jpg',
+  ];
+  let analyzedImages = [];
+  const result = await buildVisionPayload({
+    userId: 'user-1',
+    publishLayout: { publicUrl: 'https://m.tkmind.cn/MindSpace/user-1' },
+    userMessage: {
+      content: [{ type: 'text', text: '请结合两张图片生成页面' }],
+      metadata: { imageUrls },
+    },
+    fetchImpl: async () =>
+      new Response(Buffer.from('fake-image'), {
+        status: 200,
+        headers: { 'Content-Type': 'image/jpeg' },
+      }),
+    llmProviderService: {
+      analyzeImagesWithVision: async (images) => {
+        analyzedImages = images;
+        return '第一张是宝塔，第二张是晚霞。';
+      },
+    },
+  });
+
+  assert.equal(analyzedImages.length, 2);
+  assert.deepEqual(analyzedImages.map((item) => item.rawUrl), imageUrls);
+  assert.deepEqual(result?.userMessage?.metadata?.imageUrls, [
+    '/MindSpace/user-1/public/wechat-mp/first.jpg',
+    '/MindSpace/user-1/public/wechat-mp/second.jpg',
+  ]);
+  assert.match(result?.userMessage?.content?.[0]?.text ?? '', /本轮用户仅上传 2 张图片/);
+  assert.match(result?.userMessage?.content?.[0]?.text ?? '', /图片2/);
+});
+
 test('buildVisionPayload does not mark billable usage when vision analysis fails', async () => {
   const result = await buildVisionPayload({
     userId: 'user-1',