常州工厂网站建设鸣蝉智能建站

目录

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

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

（二）创建api-key

（三）获取api-key

（四）获取模型名称

（三）项目集成Ai模型

（一）pom文件加入依赖

（二）controller代码更改

（三）启动类加入ChatMemory   Bean

（四）yml添加配置apiKey和模型名称

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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);}@Beanpublic 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: 8100spring: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！