Spring-Ai-Alibaba [03] multiple-llm-client-demo

概述

本文是 Spring AI Alibaba 框架学习系列第三篇，介绍 项目中如何使用多个模型？
当前 Demo 中，同时使用千问、DeepSeek两个模型。

代码上传至 Gitee：https://gitee.com/xbjct/spring-ai-alibaba-demo

开发环境

• 基础框架: Spring Boot 3.5.14
• AI 框架: Spring AI 1.1.2 + Spring AI Alibaba 1.1.2.2
• 大模型: 阿里云通义千问 (qwen-plus)
• 构建工具: Maven 3.9.11
• JDK 版本: 21.0.10

项目结构

pom.xml 文件

<projectxmlns="http://maven.apache.org/POM/4.0.0"xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"><modelVersion>4.0.0</modelVersion><parent><groupId>com.junjiu.spring.ai.alibaba.demo</groupId><artifactId>Spring-AI-Alibaba-Demo</artifactId><version>1.0-SNAPSHOT</version></parent><artifactId>03-multiple-llm-client-demo</artifactId><packaging>jar</packaging><description>实现多个 LLM 模型，并使用不同的模型进行对话</description><name>03-multiple-llm-client-demo</name><url>http://maven.apache.org</url><properties><project.build.sourceEncoding>UTF-8</project.build.sourceEncoding></properties></project>

config 配置类

packagecom.junjiu.spring.ai.alibaba.demo.config;importcom.alibaba.cloud.ai.dashscope.api.DashScopeApi;importcom.alibaba.cloud.ai.dashscope.chat.DashScopeChatModel;importcom.alibaba.cloud.ai.dashscope.chat.DashScopeChatOptions;importorg.springframework.ai.chat.client.ChatClient;importorg.springframework.ai.chat.model.ChatModel;importorg.springframework.beans.factory.annotation.Value;importorg.springframework.context.annotation.Bean;importorg.springframework.context.annotation.Configuration;/** * program: Spring-AI-Alibaba-Demo * ClassName: LLMConfig * description: * * @author: 君九 * @create: 2026-05-22 22:02 * @version: 1.0 **/@ConfigurationpublicclassLLMConfig{privatefinalStringDEEP_SEEK_MODEL="deepseek-v4-pro";privatefinalStringQWEN_MODEL="qwen3.7-max";@Value("${spring.ai.dashscope.base-url}")privateStringbaseUrl;@Value("${spring.ai.dashscope.api-key}")privateStringapiKey;/** * 创建 ChatModel 模型对象，并注入到 Spring 容器中。 * @return */@BeanpublicChatModelqwenChatModel(){returnDashScopeChatModel.builder().dashScopeApi(DashScopeApi.builder().baseUrl(baseUrl).apiKey(apiKey).build()).defaultOptions(DashScopeChatOptions.builder().model(QWEN_MODEL).build()).build();}@Bean(name="qwenChatClient")publicChatClientqwenChatClient(){returnChatClient.create(qwenChatModel());}/** * 创建 ChatModel 模型对象，并注入到 Spring 容器中。 * @return */@BeanpublicChatModeldeepSeekChatModel(){returnDashScopeChatModel.builder().dashScopeApi(DashScopeApi.builder().baseUrl(baseUrl).apiKey(apiKey).build()).defaultOptions(DashScopeChatOptions.builder().model(DEEP_SEEK_MODEL).build()).build();}@Bean(name="deepSeekChatClient")publicChatClientdeepSeekChatClient(){returnChatClient.create(deepSeekChatModel());}}

控制层

package com.junjiu.spring.ai.alibaba.demo.controller; import jakarta.annotation.Resource; import org.springframework.ai.chat.client.ChatClient; 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; /** * program: Spring-AI-Alibaba-Demo * ClassName: HelloController * description: * * @author: 君九 * @create: 2026-05-22 22:13 * @version: 1.0 **/ @RestController @RequestMapping("/hello") public class HelloController { @Resource(name = "qwenChatClient") private ChatClient qwenChatClient; @Resource(name = "deepSeekChatClient") private ChatClient deepSeekChatClient; /** * 调用 qwen 模型 * @param message * @return */ @GetMapping("/qwen") public String qwen(@RequestParam(name = "message", defaultValue = "你是谁？") String message) { return qwenChatClient.prompt() .user(message) .call() .content(); } /** * 调用 deepseek 模型 * @param message * @return */ @GetMapping("/deepSeek") public String deepSeek(@RequestParam(name = "message", defaultValue = "你是谁？") String message) { return deepSeekChatClient.prompt() .user(message) .call() .content(); } }

启动类

packagecom.junjiu.spring.ai.alibaba.demo;importorg.springframework.boot.SpringApplication;importorg.springframework.boot.autoconfigure.SpringBootApplication;importorg.springframework.boot.context.event.ApplicationReadyEvent;importorg.springframework.context.ApplicationListener;importorg.springframework.core.env.Environment;/** * program: Spring-AI-Alibaba-Demo * ClassName: MultipleLLMApplication * description: * * @author: 君九 * @create: 2026-05-22 21:29 * @version: 1.0 **/@SpringBootApplicationpublicclassMultipleLLMApplication{publicstaticvoidmain(String[]args){SpringApplication.run(MultipleLLMApplication.class,args);}publicApplicationListener<ApplicationReadyEvent>readyEventApplicationListener(Environmentenv){returnevent->{System.out.println("\n🎉========================================🎉");System.out.println("✅ Application is ready!");System.out.println("AIALI_API_KEY="+System.getenv("AIALI_API_KEY"));System.out.println("🎉========================================🎉\n");};}}

验证

打开浏览器访问：

千问模型

http://localhost:5826/hello/qwen

DeepSeek 模型

http://localhost:5826/hello/deepSeek

代码上传至 Gitee：https://gitee.com/xbjct/spring-ai-alibaba-demo

若有转载，请标明出处：https://blog.csdn.net/CharlesYuangc/article/details/161324362