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做新房什么网站好,做医药商城网站的公司吗,链接缩短在线生成器,网络舆情监测平台Spring AI是AI工程师的一个应用框架，它提供了一个友好的API和开发AI应用的抽象，旨在简化AI应用的开发工序，例如开发一款基于ChatGPT的对话应用程序。通过使用Spring Ai使我们更简单直接使用chatgpt 1.创建项目 jdk17 引入依赖 2.依赖配置 …

Spring AI是AI工程师的一个应用框架，它提供了一个友好的API和开发AI应用的抽象，旨在简化AI应用的开发工序，例如开发一款基于ChatGPT的对话应用程序。通过使用Spring Ai使我们更简单直接使用chatgpt

1.创建项目

jdk17

引入依赖

2.依赖配置

配置spring仓库

    <repositories><repository><id>spring-milestones</id><name>Spring Milestones</name><url>https://repo.spring.io/milestone</url><snapshots><enabled>false</enabled></snapshots></repository><repository><id>spring-snapshots</id><name>Spring Snapshots</name><url>https://repo.spring.io/snapshot</url><releases><enabled>false</enabled></releases></repository></repositories>

整个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 https://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>3.2.5</version><relativePath/> <!-- lookup parent from repository --></parent><groupId>com.example</groupId><artifactId>springai-test</artifactId><version>0.0.1-SNAPSHOT</version><name>springai-test</name><description>Demo project for Spring Boot</description><properties><java.version>17</java.version><spring-ai.version>0.8.1</spring-ai.version></properties><dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-web</artifactId></dependency><dependency><groupId>org.springframework.ai</groupId><artifactId>spring-ai-openai-spring-boot-starter</artifactId><version>0.8.1</version>
<!--            <scope>system</scope>-->
<!--            <systemPath>${project.basedir}/src/main/resources/lib/spring-ai-core-0.8.1.jar</systemPath>--></dependency><dependency><groupId>org.projectlombok</groupId><artifactId>lombok</artifactId><optional>true</optional></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-test</artifactId><scope>test</scope></dependency><dependency><groupId>org.springframework.ai</groupId><artifactId>spring-ai-openai</artifactId><version>0.8.1</version></dependency></dependencies><dependencyManagement><dependencies><dependency><groupId>org.springframework.ai</groupId><artifactId>spring-ai-bom</artifactId><version>${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><configuration><excludes><exclude><groupId>org.projectlombok</groupId><artifactId>lombok</artifactId></exclude></excludes>
<!--                    <includeSystemScope>true</includeSystemScope>--></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><repository><id>spring-snapshots</id><name>Spring Snapshots</name><url>https://repo.spring.io/snapshot</url><releases><enabled>false</enabled></releases></repository></repositories></project>

因为阿里仓库暂时还没有对应的spring-ai-openai-spring-boot-
starter 依赖,所以Maven的仓库源需要使用Maven默认的仓库
源,在Maven的settings.xml中进行修改即可

<mirror><id>maven-default-http-blocker</id><mirrorOf>external:http:*</mirrorOf><name>Pseudo repository to mirror external repositories 	initially using HTTP .</name><url>http://0.0.0.0/</url><blocked>true</blocked>
</mirror>

如果依赖还没引入成功，可以下载jar包，地址repo.spring.io

将jar包安装至本地仓库后使用pom文件直接引入

mvn install:install-file -Dfile=你的jar包路径/你的jar包名字 -DgroupId=org.springframework.ai -DartifactId=spring-ai-openai-spring-boot-starter -Dversion=0.8.1 -Dpackaging=jar

3.代码编写

application.properties

spring.application.name=demo
server.port=8080spring.ai.openai.api-key=你的api-key
#最好找一个中转url,不然得配置代理
spring.ai.openai.base-url=http://api.openai.com
spring.ai.openai.chat.options.model=gpt-3.5-turbo

controller

一个直接返回结果，一个流式返回

package com.example.demo;import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.ai.chat.ChatResponse;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.prompt.Prompt;import org.springframework.ai.openai.OpenAiChatClient;
import org.springframework.beans.factory.annotation.Autowired;
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;import java.util.Map;@RestController
public class ChatController {//日志打印private final static Logger Log =LoggerFactory.getLogger(ChatController.class);//注入OpenAiChatClient@Autowiredprivate OpenAiChatClient chatClient;@GetMapping("/ai/generate")public Map generate(@RequestParam(value = "message", defaultValue = "给我讲个笑话") String message) {Log.info("发送的消息是:{}", message);String result = chatClient.call(message);Log.info("返回的消息是:{}", result);return Map.of("generation", result);}@GetMapping(value = "/ai/generateStream", produces = "text/event-stream")public Flux<ChatResponse> generateStream(@RequestParam(value = "message", defaultValue = "给我讲个笑话") String message) {Log.info("发送的消息是:{}", message);Prompt prompt = new Prompt(new UserMessage(message));System.out.println(chatClient.stream(prompt));return chatClient.stream(prompt);}
}