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
