fix: 复用现有 Qwen VL 模型调用方式

app/api/pick-object/route.ts

@@ -1,6 +1,7 @@
 import { NextResponse } from "next/server";
-import { db } from "@/lib/db";
-import { aiProvider } from "@/lib/db/schema";
+import { generateText } from "ai";
+import { getEnabledAiModelsWithProvider } from "@/lib/db/queries";
+import { getLanguageModelById } from "@/lib/ai/dynamic-provider";
 
 export const runtime = "nodejs";
 export const maxDuration = 30;
@@ -13,7 +14,7 @@ const POSITION_OPTIONS = [
 ] as const;
 
 interface PickObjectRequest {
-  imageUrl: string;         // 图片 URL（不再使用 Base64）
+  imageUrl: string;         // 图片 URL
   clickX: number;           // 点击位置 X (0-1)
   clickY: number;           // 点击位置 Y (0-1)
 }
@@ -52,17 +53,28 @@ export async function POST(request: Request) {
       }, { status: 400 });
     }
     
-    // 获取 Qwen-VL 配置 - 使用原生 SQL 查询
-    const providers = await db.select().from(aiProvider);
-    const qwenProvider = providers.find(p => p.providerId === 'qwen');
+    // 获取 Qwen VL 模型（复用现有逻辑）
+    const allModels = await getEnabledAiModelsWithProvider();
+    const qwenModel = allModels.find(
+      (m) => m.provider.type === "alibaba" && m.model.supportsVision
+    );
     
-    console.log('[PickObject] 找到 providers:', providers.length, '个');
-    console.log('[PickObject] Qwen provider:', qwenProvider ? '已找到' : '未找到');
-    
-    if (!qwenProvider || !qwenProvider.isEnabled || !qwenProvider.apiKey) {
+    if (!qwenModel) {
+      console.log("[PickObject] No Qwen VL model found");
       return NextResponse.json({
         success: false,
-        error: 'Qwen 服务未配置或未启用',
+        error: 'Qwen VL 模型未配置',
+      }, { status: 500 });
+    }
+    
+    console.log('[PickObject] 使用模型:', qwenModel.model.modelId, qwenModel.model.displayName);
+    
+    const model = await getLanguageModelById(qwenModel.model.id);
+    if (!model) {
+      console.log("[PickObject] Failed to get language model");
+      return NextResponse.json({
+        success: false,
+        error: '无法加载模型',
       }, { status: 500 });
     }
     
@@ -89,56 +101,33 @@ ${POSITION_OPTIONS.join('、')}
 【boundingBox】相对坐标 0-1，精确到小数点后2位
 `.trim();
 
-    const apiUrl = `${qwenProvider.apiBaseUrl || 'https://dashscope.aliyuncs.com/compatible-mode/v1'}/chat/completions`;
-    console.log('[PickObject] 调用 Qwen API:', apiUrl);
+    console.log('[PickObject] 调用 Qwen VL 模型...');
 
-    // 调用 Qwen-VL API（使用图片 URL）
-    const response = await fetch(apiUrl, {
-      method: 'POST',
-      headers: {
-        'Content-Type': 'application/json',
-        'Authorization': `Bearer ${qwenProvider.apiKey}`,
-      },
-      body: JSON.stringify({
-        model: 'qwen-vl-max',
-        messages: [
-          {
-            role: 'user',
-            content: [
-              {
-                type: 'image_url',
-                image_url: {
-                  url: imageUrl, // 直接使用图片 URL
-                },
-              },
-              {
-                type: 'text',
-                text: prompt,
-              },
-            ],
-          },
-        ],
-        max_tokens: 200,
-      }),
-    });
+    // 调用 Qwen VL 模型（复用现有的 generateText）
+    const { text: responseText } = await generateText({
+      model,
+      messages: [
+        {
+          role: 'user',
+          content: [
+            {
+              type: 'image',
+              image: imageUrl, // 直接使用图片 URL
+            },
+            {
+              type: 'text',
+              text: prompt,
+            },
+          ],
+        },
+      ],
+      temperature: 0.1,
+      maxTokens: 300,
+    } as any);
     
-    console.log('[PickObject] Qwen API 响应状态:', response.status);
+    console.log('[PickObject] Qwen 返回内容:', responseText?.substring(0, 200));
     
-    if (!response.ok) {
-      const errorText = await response.text();
-      console.error('[PickObject] Qwen API error:', errorText);
-      return NextResponse.json({
-        success: false,
-        error: `AI 识别服务错误: ${response.status}`,
-      }, { status: 500 });
-    }
-    
-    const data = await response.json();
-    const content = data.choices?.[0]?.message?.content;
-    
-    console.log('[PickObject] Qwen 返回内容:', content?.substring(0, 200));
-    
-    if (!content) {
+    if (!responseText) {
       return NextResponse.json({
         success: false,
         error: 'AI 未返回结果',
@@ -149,7 +138,7 @@ ${POSITION_OPTIONS.join('、')}
     let result: PickObjectResult;
     try {
       // 尝试从返回内容中提取 JSON
-      const jsonMatch = content.match(/\{[\s\S]*\}/);
+      const jsonMatch = responseText.match(/\{[\s\S]*\}/);
       if (!jsonMatch) {
         throw new Error('未找到 JSON');
       }
@@ -190,7 +179,7 @@ ${POSITION_OPTIONS.join('、')}
       }
       
     } catch (parseError) {
-      console.error('[PickObject] JSON parse error:', parseError, 'Content:', content);
+      console.error('[PickObject] JSON parse error:', parseError, 'Content:', responseText);
       
       // 返回默认结果
       const posX = clickX < 0.33 ? '左' : clickX > 0.66 ? '右' : '中央';