Spring AI Alibaba集成阿里云百炼大模型

1.准备工作

1. 开发环境：JDK17+、SpringBoot3.x+

2.引入maven依赖

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="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>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>3.2.8</version>
    </parent>

    <groupId>com.linging</groupId>
    <artifactId>spring-ai-alibaba</artifactId>
    <version>1.0-SNAPSHOT</version>

    <properties>
        <maven.compiler.source>17</maven.compiler.source>
        <maven.compiler.target>17</maven.compiler.target>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    </properties>

    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>
        <dependency>
            <groupId>com.alibaba.cloud.ai</groupId>
            <artifactId>spring-ai-alibaba-starter</artifactId>
            <version>1.0.0-M5.1</version>
        </dependency>

    </dependencies>

</project>

3.application.yml

spring:
  ai:
    dashscope:
      agent:
      api-key: xxx # 百炼API Key
      workspace-id: xxx # 业务空间ID，可选，未配置时使用主账号空间
      chat:
        options:
          model: deepseek-r1   #指定模型

4.调用

4.1.配置

@Configuration
public class SpringAIConfig {

    @Bean
    public ChatClient chatClient(DashScopeChatModel dashScopeChatModel){
        return ChatClient.builder(dashScopeChatModel).build();
    }
}

4.2.使用

@RestController
@RequestMapping("/ai")
public class ChatClientController {

    @Resource
    private ChatClient chatClient;

    // 非流式调用
    @GetMapping("/bailian/chat/call")
    public String call(@RequestParam(value = "message") String message) {
        return chatClient.prompt()
                .user(message)
                .call()
                .content();
    }

    // 流式调用
    @GetMapping(value = "/bailian/chat/stream", produces = "text/html;charset=utf-8")
    public Flux<String> stream(@RequestParam(value = "message") String message) {
        return chatClient.prompt()
                .user(message)
                .stream()
                .content();
    }
}