目录
一、创建好Springboot项目
（一）、创建简单的springboot项目
要使用springboot的3.4.2版本，jdk使用17
我的项目名为testAi
pom文件内容如下
<?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>org.example</groupId>
<artifactId>testAi</artifactId>
<version>1.0-SNAPSHOT</version>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>3.4.2</version>
<relativePath/>
</parent>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<jdk>17</jdk>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
<version>1.18.20</version>
</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-jar-plugin</artifactId>
<version>2.4</version>
<configuration>
<excludes>
<exclude>*</exclude>
</excludes>
</configuration>
</plugin>
</plugins>
<resources>
<resource>
<directory>src/main/resources</directory>
</resource>
</resources>
</build>
</project>（二）创建一个简单的接口
（三）使用postman调用该接口进行测试
二、注册“阿里云百炼”平台
（一）没有账户的先在阿里云百炼注册
地址：百炼控制台
（二）创建api-key
按下列四步创建出一个api-key
（三）获取api-key
点击查看，然后可获取apiKey
（四）获取模型名称
点击模型广场，然后选择DeepSeek，最后在筛选结果点击“查看详情”
然后选择“deepseek-r1”
（三）项目集成Ai模型
（一）pom文件加入依赖
<dependency>
<groupId>com.alibaba.cloud.ai</groupId>
<artifactId>spring-ai-alibaba-starter</artifactId>
<version>1.0.0-M3.3</version>
</dependency>
------------------------------------------------------
<dependencyManagement>
<dependencies>
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-bom</artifactId>
<version>1.0.0-M3</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
<repositories>
<repository>
<id>spring-milestone-repo</id>
<url>https://repo.spring.io/milestone</url>
</repository>
</repositories>（二）controller代码更改
package org.example.controller;
import org.example.api.req.CallAiReq;
import org.springframework.ai.chat.client.ChatClient;
import org.springframework.ai.chat.client.advisor.AbstractChatMemoryAdvisor;
import org.springframework.ai.chat.client.advisor.PromptChatMemoryAdvisor;
import org.springframework.ai.chat.memory.ChatMemory;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import reactor.core.publisher.Flux;
@RestController
public class CallAiController {
ChatClient chatClient;
public CallAiController(ChatClient.Builder chatClientBuilder, ChatMemory chatMemory){
this.chatClient = chatClientBuilder
.defaultAdvisors(new PromptChatMemoryAdvisor(chatMemory))
.build();
}
@RequestMapping("/callAi")
public Flux<String> callAi(@RequestBody CallAiReq req){
System.out.println("入参=" + req.getMessage());
Flux<String> content = chatClient
.prompt()
.user(req.getMessage())
.advisors(a -> a.param(AbstractChatMemoryAdvisor.CHAT_MEMORY_RETRIEVE_SIZE_KEY, 100))
.stream()
.content();
return content;
}
}
（三）启动类加入ChatMemory Bean
package org.example;
import org.springframework.ai.chat.memory.ChatMemory;
import org.springframework.ai.chat.memory.InMemoryChatMemory;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.context.annotation.Bean;
@SpringBootApplication
public class TestAiApplication {
public static void main(String[] args) {
SpringApplication.run(TestAiApplication.class, args);
}
@Bean
public ChatMemory chatMemory(){
return new InMemoryChatMemory();
}
}（四）yml添加配置apiKey和模型名称
根据第二步中的（三）和（四）获取的apiKey和模型名称加入配置文件中
server:
port: 8100
spring:
ai:
dashscope:
api-key: sk-**************************38（替换自己的）
chat:
options:
model: deepseek-r1
这块代码是有前面对话的记忆
结束！