feat: 添加GLM-4.5V和DashScope模型支持，优化饮食分析服务的API调用

.env.glm.example

@@ -0,0 +1,24 @@
+# GLM-4.5V Configuration Example
+# Copy this to your .env file and update with your actual API key
+
+# AI Vision Provider - set to 'glm' to use GLM-4.5V, 'dashscope' for Qwen (default)
+AI_VISION_PROVIDER=glm
+
+# GLM-4.5V API Configuration
+GLM_API_KEY=your_glm_api_key_here
+GLM_BASE_URL=https://open.bigmodel.cn/api/paas/v4
+
+# GLM Model Names
+GLM_MODEL=glm-4-flash
+GLM_VISION_MODEL=glm-4v-plus
+
+# Alternative: Use GLM-4.5V models (if available)
+# GLM_MODEL=glm-4.5
+# GLM_VISION_MODEL=glm-4.5v
+
+# DashScope Configuration (fallback/default)
+# Keep these for fallback or if you want to switch between providers
+DASHSCOPE_API_KEY=your_dashscope_api_key_here
+DASHSCOPE_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
+DASHSCOPE_MODEL=qwen-flash  
+DASHSCOPE_VISION_MODEL=qwen-vl-max

src/ai-coach/services/diet-analysis.service.ts

@@ -57,6 +57,10 @@ export interface FoodRecognitionResult {
 /**
  * 饮食分析服务
  * 负责处理饮食相关的AI分析、营养评估和上下文构建
+ * 
+ * 支持多种AI模型：
+ * - GLM-4.5V (智谱AI) - 设置 AI_VISION_PROVIDER=glm
+ * - Qwen VL (阿里云DashScope) - 设置 AI_VISION_PROVIDER=dashscope (默认)
  */
 @Injectable()
 export class DietAnalysisService {
@@ -64,11 +68,29 @@ export class DietAnalysisService {
   private readonly client: OpenAI;
   private readonly visionModel: string;
   private readonly model: string;
+  private readonly apiProvider: string;
 
   constructor(
     private readonly configService: ConfigService,
     private readonly dietRecordsService: DietRecordsService,
   ) {
+    // Support both GLM-4.5V and DashScope (Qwen) models
+    this.apiProvider = this.configService.get<string>('AI_VISION_PROVIDER') || 'dashscope';
+    
+    if (this.apiProvider === 'glm') {
+      // GLM-4.5V Configuration
+      const glmApiKey = this.configService.get<string>('GLM_API_KEY');
+      const glmBaseURL = this.configService.get<string>('GLM_BASE_URL') || 'https://open.bigmodel.cn/api/paas/v4';
+      
+      this.client = new OpenAI({
+        apiKey: glmApiKey,
+        baseURL: glmBaseURL,
+      });
+      
+      this.model = this.configService.get<string>('GLM_MODEL') || 'glm-4-flash';
+      this.visionModel = this.configService.get<string>('GLM_VISION_MODEL') || 'glm-4v-plus';
+    } else {
+      // DashScope Configuration (default)
       const dashScopeApiKey = this.configService.get<string>('DASHSCOPE_API_KEY') || 'sk-e3ff4494c2f1463a8910d5b3d05d3143';
       const baseURL = this.configService.get<string>('DASHSCOPE_BASE_URL') || 'https://dashscope.aliyuncs.com/compatible-mode/v1';
 
@@ -80,6 +102,78 @@ export class DietAnalysisService {
       this.model = this.configService.get<string>('DASHSCOPE_MODEL') || 'qwen-flash';
       this.visionModel = this.configService.get<string>('DASHSCOPE_VISION_MODEL') || 'qwen-vl-max';
     }
+  }
+
+  /**
+   * 制作视觉模型API调用 - 兼容GLM-4.5V和DashScope
+   * @param prompt 提示文本
+   * @param imageUrls 图片URL数组
+   * @returns API响应
+   */
+  private async makeVisionApiCall(prompt: string, imageUrls: string[]) {
+    const baseParams = {
+      model: this.visionModel,
+      temperature: 0.3,
+      response_format: { type: 'json_object' } as any,
+    };
+
+    if (this.apiProvider === 'glm') {
+      // GLM-4.5V format
+      return await this.client.chat.completions.create({
+        ...baseParams,
+        messages: [
+          {
+            role: 'user',
+            content: [
+              { type: 'text', text: prompt },
+              ...imageUrls.map((imageUrl) => ({
+                type: 'image_url',
+                image_url: { url: imageUrl }
+              } as any)),
+            ] as any,
+          },
+        ],
+      } as any);
+    } else {
+      // DashScope format (default)
+      return await this.client.chat.completions.create({
+        ...baseParams,
+        messages: [
+          {
+            role: 'user',
+            content: [
+              { type: 'text', text: prompt },
+              ...imageUrls.map((imageUrl) => ({ type: 'image_url', image_url: { url: imageUrl } as any })),
+            ] as any,
+          },
+        ],
+      });
+    }
+  }
+
+  /**
+   * 制作文本模型API调用 - 兼容GLM-4.5和DashScope
+   * @param prompt 提示文本
+   * @param userText 用户文本
+   * @returns API响应
+   */
+  private async makeTextApiCall(prompt: string, userText: string) {
+    const baseParams = {
+      model: this.model,
+      temperature: 0.3,
+      response_format: { type: 'json_object' } as any,
+    };
+
+    return await this.client.chat.completions.create({
+      ...baseParams,
+      messages: [
+        {
+          role: 'user',
+          content: `${prompt}\n\n用户描述：${userText}`
+        }
+      ],
+    });
+  }
 
   /**
    * 食物识别用于用户确认 - 新的确认流程
@@ -93,20 +187,7 @@ export class DietAnalysisService {
 
       const prompt = this.buildFoodRecognitionPrompt(suggestedMealType);
 
-      const completion = await this.client.chat.completions.create({
-        model: this.visionModel,
-        messages: [
-          {
-            role: 'user',
-            content: [
-              { type: 'text', text: prompt },
-              ...imageUrls.map((imageUrl) => ({ type: 'image_url', image_url: { url: imageUrl } as any })),
-            ] as any,
-          },
-        ],
-        temperature: 0.3,
-        response_format: { type: 'json_object' } as any,
-      });
+      const completion = await this.makeVisionApiCall(prompt, imageUrls);
 
       const rawResult = completion.choices?.[0]?.message?.content || '{}';
       this.logger.log(`Food recognition result: ${rawResult}`);
@@ -136,20 +217,7 @@ export class DietAnalysisService {
 
       const prompt = this.buildDietAnalysisPrompt(suggestedMealType);
 
-      const completion = await this.client.chat.completions.create({
-        model: this.visionModel,
-        messages: [
-          {
-            role: 'user',
-            content: [
-              { type: 'text', text: prompt },
-              ...imageUrls.map((imageUrl) => ({ type: 'image_url', image_url: { url: imageUrl } as any })),
-            ] as any,
-          },
-        ],
-        temperature: 0.3,
-        response_format: { type: 'json_object' } as any,
-      });
+      const completion = await this.makeVisionApiCall(prompt, imageUrls);
 
       const rawResult = completion.choices?.[0]?.message?.content || '{}';
       this.logger.log(`Enhanced diet analysis result: ${rawResult}`);
@@ -177,17 +245,7 @@ export class DietAnalysisService {
 
       const prompt = this.buildTextDietAnalysisPrompt(suggestedMealType);
 
-      const completion = await this.client.chat.completions.create({
-        model: this.model,
-        messages: [
-          {
-            role: 'user',
-            content: `${prompt}\n\n用户描述：${userText}`
-          }
-        ],
-        temperature: 0.3,
-        response_format: { type: 'json_object' } as any,
-      });
+      const completion = await this.makeTextApiCall(prompt, userText);
 
       const rawResult = completion.choices?.[0]?.message?.content || '{}';
       this.logger.log(`Text diet analysis result: ${rawResult}`);