1.环境要求
- JDK 17+
- Maven 3.8+
- 选择你的 LLM 提供商并获取 API-KEY(如阿里云百炼的 DashScope)
添加链接描述

2. 创建父工程
2.1. 父工程SpringAIAlibaba

2.2. 父工程pom
xml
<?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>
<groupId>com.hf.hong</groupId>
<artifactId>SpringAIAlibaba-v1</artifactId>
<version>1.0-SNAPSHOT</version>
<packaging>pom</packaging>
<name>SpringAIAlibaba-Maven父工程POM配置</name>
<modules>
<module>SAA-01HelloWorld</module>
</modules>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<maven.compiler.source>21</maven.compiler.source>
<maven.compiler.target>21</maven.compiler.target>
<java.version>21</java.version>
<!-- Spring Boot 新建2025.9-->
<spring-boot.version>3.5.5</spring-boot.version>
<!-- Spring AI 新建2025.9-->
<spring-ai.version>1.0.0</spring-ai.version>
<!-- Spring AI Alibaba 新建2025.9-->
<SpringAIAlibaba.version>1.0.0.2</SpringAIAlibaba.version>
</properties>
<dependencyManagement>
<dependencies>
<!-- Spring Boot -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-dependencies</artifactId>
<version>${spring-boot.version}</version>
<type>pom</type>
<scope>import</scope>
</dependency>
<!-- Spring AI Alibaba -->
<dependency>
<groupId>com.alibaba.cloud.ai</groupId>
<artifactId>spring-ai-alibaba-bom</artifactId>
<version>${SpringAIAlibaba.version}</version>
<type>pom</type>
<scope>import</scope>
</dependency>
<!-- Spring AI -->
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-bom</artifactId>
<version>${spring-ai.version}</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
<build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
<version>${spring-boot.version}</version>
</plugin>
</plugins>
</build>
<repositories>
<repository>
<id>spring-milestones</id>
<name>Spring Milestones</name>
<url>https://repo.spring.io/milestone</url>
<snapshots>
<enabled>false</enabled>
</snapshots>
</repository>
</repositories>
</project>
2.3. 版本说明
版本请参考官方说明添加链接描述

版本兼容关系添加链接描述

3.入门代码HelloWorld
3.1. SAA-01HelloWorld

3.2.pom文件
xml
<?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>com.hf.hong</groupId>
<artifactId>SpringAIAlibaba-v1</artifactId>
<version>1.0-SNAPSHOT</version>
</parent>
<artifactId>SAA-01HelloWorld</artifactId>
<properties>
<maven.compiler.source>21</maven.compiler.source>
<maven.compiler.target>21</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>
<!-- 引入 springai alibaba DashScope 模型适配的 Starter -->
<dependency>
<groupId>com.alibaba.cloud.ai</groupId>
<artifactId>spring-ai-alibaba-starter-dashscope</artifactId>
</dependency>
<!--lombok-->
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
<!--hutool-->
<dependency>
<groupId>cn.hutool</groupId>
<artifactId>hutool-all</artifactId>
<version>5.8.22</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>3.11.0</version>
<configuration>
<compilerArgs>
<arg>-parameters</arg>
</compilerArgs>
<source>21</source>
<target>21</target>
</configuration>
</plugin>
</plugins>
</build>
<repositories>
<repository>
<id>spring-milestones</id>
<name>Spring Milestones</name>
<url>https://repo.spring.io/milestone</url>
<snapshots>
<enabled>false</enabled>
</snapshots>
</repository>
</repositories>
</project>
3.3.pom说明
核心组件模型服务灵积(DashScope)添加链接描述

添加链接描述

3.4.配置文件
application.properties
java
server.port=8001
#大模型对话中文乱码UTF8编码处理
server.servlet.encoding.enabled=true
server.servlet.encoding.force=true
server.servlet.encoding.charset=UTF-8
spring.application.name=SAA-01HelloWorld
# ====SpringAIAlibaba Config=============
spring.ai.dashscope.api-key=sk-70cde7c5236f4cd7a57092c987c31eae
spring.ai.dashscope.base-url=https://dashscope.aliyuncs.com/compatible-mode/v1
spring.ai.dashscope.chat.options.model=qwen-plus
将spring.ai.dashscope.api-key写入本机配置aliQwen-api

修改配置文件

3.5. 大模型配置类编写
java
package com.hf.hong.config;
import com.alibaba.cloud.ai.dashscope.api.DashScopeApi;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
/**
* 通义千问-Plus配置类
*/
@Configuration
public class SaaLLMConfig {
@Value("${spring.ai.dashscope.api-key}")
private String apiKey;
@Bean
public DashScopeApi dashScopeApi()
{
return DashScopeApi.builder().apiKey(apiKey).build();
}
}
3.6. 对话模型Chat Model
对话模型(Chat Model)接收一系列消息(Message)作为输入,与模型 LLM 服务进行交互,并接收返回的聊天消息(Chat Message)作为输出。相比于普通的程序输入,模型的输入与输出消息(Message)不止支持纯字符文本,还支持包括语音、图片、视频等作为输入输出。同时,在 Spring AI Alibaba 中,消息中还支持包含不同的角色,帮助底层模型区分来自模型、用户和系统指令等的不同消息。
Spring AI Alibaba 复用了 Spring AI 抽象的 Model API,并与通义系列大模型服务进行适配(如通义千问、通义万相等),目前支持纯文本聊天、文生图、文生语音、语音转文本等
添加链接描述

3.7. HelloController
java
package com.hf.hong.controller;
import jakarta.annotation.Resource;
import org.springframework.ai.chat.model.ChatModel;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import reactor.core.publisher.Flux;
@RestController
public class HelloController {
@Resource //阿里云百炼
private ChatModel dashScopeChatModel;
/**
* http://localhost:8001/hello/dochat
* 通用调用
* @param msg
* @return
*/
@GetMapping("/hello/dochat")
public String doChat(@RequestParam(name = "msg",defaultValue = "你是谁") String msg)
{
String result = dashScopeChatModel.call(msg);
System.out.println("响应:" + result);
return result;
}
/**
* http://localhost:8001/hello/streamchat
* 流式调用
* @param msg
* @return
*/
@GetMapping("/hello/streamchat")
public Flux<String> streamChat(@RequestParam(name = "msg",defaultValue = "你是谁") String msg)
{
return dashScopeChatModel.stream(msg);
}
}
3.8. 测试


