feat(ai): 集成阿里云DashScope AI模型支持

- 新增DashScope AI配置项，支持qwen-plus模型
- 添加AIResponse数据模型用于流式响应
- 实现普通对话和流式对话两个接口
- 引入spring-ai-alibaba-starter-dashscope依赖
- 更新OpenAIController移除无用导入
- 在pom.xml中添加spring-ai-alibaba-bom管理依赖版本

pom.xml

@@ -50,6 +50,11 @@
             <groupId>org.springframework.ai</groupId>
             <artifactId>spring-ai-starter-model-openai</artifactId>
         </dependency>
+        <!-- 阿里云AI -->
+        <dependency>
+            <groupId>com.alibaba.cloud.ai</groupId>
+            <artifactId>spring-ai-alibaba-starter-dashscope</artifactId>
+        </dependency>
 
 
 
@@ -79,6 +84,13 @@
                 <type>pom</type>
                 <scope>import</scope>
             </dependency>
+            <dependency>
+                <groupId>com.alibaba.cloud.ai</groupId>
+                <artifactId>spring-ai-alibaba-bom</artifactId>
+                <version>1.0.0.4</version>
+                <type>pom</type>
+                <scope>import</scope>
+            </dependency>
         </dependencies>
     </dependencyManagement>
 

src/main/java/com/hanserwei/airobot/controller/DashscopeAIController.java

@@ -0,0 +1,59 @@
+package com.hanserwei.airobot.controller;
+
+import com.alibaba.cloud.ai.dashscope.chat.DashScopeChatModel;
+import com.hanserwei.airobot.model.AIResponse;
+import jakarta.annotation.Resource;
+import org.springframework.ai.chat.client.ChatClient;
+import org.springframework.ai.chat.model.Generation;
+import org.springframework.http.MediaType;
+import org.springframework.web.bind.annotation.GetMapping;
+import org.springframework.web.bind.annotation.RequestMapping;
+import org.springframework.web.bind.annotation.RequestParam;
+import org.springframework.web.bind.annotation.RestController;
+import reactor.core.publisher.Flux;
+
+@RestController
+@RequestMapping("/v6/ai")
+public class DashscopeAIController {
+
+    @Resource
+    private DashScopeChatModel dashScopeChatModel;
+
+    /**
+     * 普通对话
+     *
+     * @param message 对话输入内容
+     * @return 对话结果
+     */
+    @GetMapping("/generate")
+    public String generate(@RequestParam(value = "message", defaultValue = "你是谁？") String message) {
+        // 一次性返回结果
+        ChatClient chatClient = ChatClient.builder(dashScopeChatModel).build();
+        return chatClient.prompt()
+                .user(message)
+                .call()
+                .content();
+    }
+
+    /**
+     * 流式对话
+     *
+     * @param message 对话输入内容
+     * @return 对话结果
+     */
+    @GetMapping(value = "/generateStream", produces = MediaType.TEXT_EVENT_STREAM_VALUE)
+    public Flux<AIResponse> generateStream(@RequestParam(value = "message", defaultValue = "你是谁？") String message) {
+        ChatClient chatClient = ChatClient.builder(dashScopeChatModel).build();
+        return chatClient.prompt()
+                .user(message)
+                .stream()
+                .chatResponse()
+                .mapNotNull(
+                        chatResponse -> {
+                            Generation generation = chatResponse.getResult();
+                            String text = generation.getOutput().getText();
+                            return AIResponse.builder().v(text).build();
+                        }
+                );
+    }
+}

src/main/java/com/hanserwei/airobot/controller/OpenAIController.java

@@ -12,8 +12,6 @@ import org.springframework.web.bind.annotation.RequestParam;
 import org.springframework.web.bind.annotation.RestController;
 import reactor.core.publisher.Flux;
 
-import java.util.Objects;
-
 @RestController
 @RequestMapping("/v5/ai")
 public class OpenAIController {

src/main/java/com/hanserwei/airobot/model/AIResponse.java

@@ -0,0 +1,15 @@
+package com.hanserwei.airobot.model;
+
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+@Data
+@Builder
+@AllArgsConstructor
+@NoArgsConstructor
+public class AIResponse {
+    // 流式响应内容
+    private String v;
+}

src/main/resources/application.yml

@@ -30,6 +30,12 @@ spring:
         options:
           model: gpt-4o # 模型名称
           temperature: 0.7 # 温度值
+    dashscope:
+      api-key: ENC(cMgcKZkFllyE88DIbGwLKot9Vg02co+gsmY8L8o4/o3UjhcmqO4lJzFU35Sx0n+qFG8pDL0wBjoWrT8X6BuRw9vNlQhY1LgRWHaF9S1zzyM=)
+      chat:
+        options:
+          model: qwen-plus
+          temperature: 0.7
 
 jasypt:
   encryptor: