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