ai

routes/ai.js

@@ -150,7 +150,7 @@ router.post('/recognize-product', async (ctx) => {
 
     const imageUrl = `data:image/jpeg;base64,${imageBase64}`;
 
-    console.log('Calling Qwen API with image...');
+    console.log('Calling Qwen Omni API with image...');
     const response = await fetch(AI_API_URL, {
       method: 'POST',
       headers: {
@@ -158,7 +158,7 @@ router.post('/recognize-product', async (ctx) => {
         'Content-Type': 'application/json'
       },
       body: JSON.stringify({
-        model: 'qwen3.7-max-2026-05-20',
+        model: 'qwen3.5-omni-flash',
         messages: [
           {
             role: 'user',
@@ -176,17 +176,20 @@ router.post('/recognize-product', async (ctx) => {
             ]
           }
         ],
+        modalities: ['text'],
         temperature: 0.3,
-        max_tokens: 500
+        max_tokens: 500,
+        stream: true,
+        stream_options: { include_usage: true }
       }),
       timeout: 60000
     });
 
-    console.log('Qwen VL response status:', response.status);
+    console.log('Qwen Omni response status:', response.status);
 
     if (!response.ok) {
       const errorText = await response.text();
-      console.error('Qwen VL API Error:', response.status, errorText);
+      console.error('Qwen Omni API Error:', response.status, errorText);
 
       let errorMsg = 'AI 服务调用失败';
       if (response.status === 401) {
@@ -209,9 +212,26 @@ router.post('/recognize-product', async (ctx) => {
       return;
     }
 
-    const data = await response.json();
-    console.log('Qwen response data:', JSON.stringify(data, null, 2));
-    const aiResponse = data.choices?.[0]?.message?.content;
+    // 解析 SSE 流式响应
+    const text = await response.text();
+    const lines = text.split('\n');
+    let aiResponse = '';
+
+    for (const line of lines) {
+      if (line.startsWith('data: ')) {
+        const dataStr = line.slice(6).trim();
+        if (dataStr === '[DONE]') break;
+        try {
+          const parsed = JSON.parse(dataStr);
+          const content = parsed.choices?.[0]?.delta?.content;
+          if (content) {
+            aiResponse += content;
+          }
+        } catch (e) {
+          // 跳过解析失败的行
+        }
+      }
+    }
 
     if (!aiResponse) {
       ctx.status = 500;
@@ -222,8 +242,22 @@ router.post('/recognize-product', async (ctx) => {
       return;
     }
 
+    // 尝试提取 JSON（可能被 markdown 代码块包裹）
+    let jsonStr = aiResponse;
+    const mdMatch = aiResponse.match(/```(?:json)?\s*([\s\S]*?)```/);
+    if (mdMatch) {
+      jsonStr = mdMatch[1].trim();
+    } else {
       const jsonMatch = aiResponse.match(/\{[\s\S]*\}/);
-    if (!jsonMatch) {
+      if (jsonMatch) {
+        jsonStr = jsonMatch[0];
+      }
+    }
+
+    let productInfo;
+    try {
+      productInfo = JSON.parse(jsonStr);
+    } catch (e) {
       ctx.status = 500;
       ctx.body = {
         code: 500,
@@ -232,8 +266,6 @@ router.post('/recognize-product', async (ctx) => {
       return;
     }
 
-    const productInfo = JSON.parse(jsonMatch[0]);
-
     ctx.body = {
       code: 200,
       message: '识别成功',