DeepSeek国内大模型一哥的屁股都没坐热， 阿里又来了个qwq-32b。但是没关系， 如果你用spring-ai(或者Spring Cloud Alibaba AI)改个配置即可适配（温馨提醒：qwq-32b和deepseek-r1一样不支持function-call）
Spring Cloud Alibaba AI
Spring Cloud Alibaba AI是阿里专门用于给java程序员接入百炼平台大模型的springboot-stater。 基于 Spring AI 而来， 和SpringAi同步更新。
快速体验
创建 SCA AI 应用
在 pom.xml 中引入如下依赖配置：
<dependency>
<groupId>com.alibaba.cloud</groupId>
<artifactId>spring-cloud-starter-alibaba-ai</artifactId>
</dependency>
<dependencyManagement>
<dependencies>
<dependency>
<groupId>com.alibaba.cloud</groupId>
<artifactId>spring-cloud-alibaba-dependencies</artifactId>
<version>${spring.cloud.alibaba.version}</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
<!-- 因为 Spring AI 还没有正式发布到 maven 仓库，所以需要添加此配置项 目前 maven 仓库为假的。
issue：https://github.com/spring-projects/spring-ai/issues/537
-->
<repositories>
<repository>
<id>spring-milestones</id>
<name>Spring Milestones</name>
<url>https://repo.spring.io/milestone</url>
<snapshots>
<enabled>false</enabled>
</snapshots>
</repository>
<repository>
<id>spring-snapshots</id>
<name>Spring Snapshots</name>
<url>https://repo.spring.io/snapshot</url>
<releases>
<enabled>false</enabled>
</releases>
</repository>
</repositories>api-key 配置
获取API Key
- 鼠标悬停于页面右上角的
- 在左侧导航栏，选择全部API-KEY或我的API-KEY，然后创建（图中位置①）或查看（图中位置②）API Key。
当然也可以通过 application.yml配置项配置：
为了把api-key不暴露在代码中，${ALI_AI_KEY} 读取的环境变量：
spring:
ai:
dashscope:
api-key: ${ALI_AI_KEY}
model: qwq-32b
聊天对话体验
public class ChatService {
// 聊天客户端
private final ChatClient chatClient;
// stream 流式客户端
private final StreamingChatClient streamingChatClient;
@Autowired
public ChatService(ChatClient chatClient, StreamingChatClient streamingChatClient) {
this.chatClient = chatClient;
this.streamingChatClient = streamingChatClient;
}
@Override
public String normalCompletion(String message) {
Prompt prompt = new Prompt(new UserMessage(message));
return chatClient.call(prompt).getResult().getOutput().getContent();
}
@Override
public Map<String, String> streamCompletion(String message) {
StringBuilder fullContent = new StringBuilder();
streamingChatClient.stream(new Prompt(message))
.flatMap(chatResponse -> Flux.fromIterable(chatResponse.getResults()))
.map(content -> content.getOutput().getContent())
.doOnNext(fullContent::append)
.last()
.map(lastContent -> Map.of(message, fullContent.toString()))
.block();
return Map.of(message, fullContent.toString());
}
}之后，创建 controller 接口调用 service 服务：
@Autowired
private ChatService chatService;
@GetMapping("/example")
public String completion(
@RequestParam(value = "message", defaultValue = "Tell me a joke")
String message
) {
return chatService.completion(message);
}
@GetMapping("/stream")
public Map<String, String> streamCompletion(
@RequestParam(value = "message", defaultValue = "请告诉我西红柿炖牛腩怎么做？")
String message
) {
return chatService.streamCompletion(message);
}下面进行接口测试：
文生图体验
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package com.alibaba.cloud.ai.example.model;
import java.io.IOException;
import java.io.InputStream;
import java.net.URL;
import jakarta.servlet.http.HttpServletResponse;
import org.springframework.ai.image.ImageModel;
import org.springframework.ai.image.ImageOptions;
import org.springframework.ai.image.ImageOptionsBuilder;
import org.springframework.ai.image.ImagePrompt;
import org.springframework.ai.image.ImageResponse;
import org.springframework.http.MediaType;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
@RestController
@RequestMapping("/ai")
public class ImageModelController {
private final ImageModel imageModel;
ImageModelController(ImageModel imageModel) {
this.imageModel = imageModel;
}
@GetMapping("/image/{input}")
public void image(@PathVariable("input") String input, HttpServletResponse response) {
ImageOptions options = ImageOptionsBuilder.builder()
.model("wanx-v1")
.build();
ImagePrompt imagePrompt = new ImagePrompt(input, options);
ImageResponse imageResponse = imageModel.call(imagePrompt);
String imageUrl = imageResponse.getResult().getOutput().getUrl();
try {
URL url = new URL(imageUrl);
InputStream in = url.openStream();
response.setHeader("Content-Type", MediaType.IMAGE_PNG_VALUE);
response.getOutputStream().write(in.readAllBytes());
response.getOutputStream().flush();
} catch (IOException e) {
response.setStatus(HttpServletResponse.SC_INTERNAL_SERVER_ERROR);
}
}
}
接口调用体验：
Terminal window
http://localhost:8080/ai/image/美女
点击地址我们可以看到如下生成的美女图片：
更多配置项可以参考：https://help.aliyun.com/zh/dashscope/developer-reference/api-details。
示例代码：https://gitee.com/xscodeit/spring-cloud-alibaba-ai-example
