Springboot项目集成Ai模型（阿里云百炼-DeepSeek）

崔lc

已于 2025-06-09 22:59:36 修改

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分类专栏： springboot Ai模型文章标签： spring boot java 后端 ai

于 2025-06-09 22:41:52 首次发布

本文链接：https://blog.youkuaiyun.com/weixin_38423249/article/details/148541694

springboot 同时被 2 个专栏收录

2 篇文章

订阅专栏

Ai模型

1 篇文章

订阅专栏

一、创建好Springboot项目

（一）、创建简单的springboot项目

（二）创建一个简单的接口

（三）使用postman调用该接口进行测试

（三）启动类加入ChatMemory Bean

（四）yml添加配置apiKey和模型名称

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