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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=8080 spring.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 @Autowired private 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); } } 4.运行结果
最后附上代码
https://github.com/smx1024/springai-demo
