2024版本idea集成SpringBoot + Ai 手写一个chatgpt 【推荐】-编程知识

题目：SpringBoot + OpenAi

在这里获取key和url：获取免费key
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base-url为这两个：

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话不多说直接来！

一、简介

Spring AI 是 AI 工程的应用框架。其目标是将 Spring 生态系统设计原则（如可移植性和模块化设计）应用于 AI，并推广使用 POJO 作为 AI 领域应用程序的构建块。

跨 AI 提供商的可移植 API 支持，适用于聊天、文本到图像和嵌入模型。支持同步和流 API 选项。还支持下拉以访问特定于模型的功能

二、Ai聊天程序代码

1、创建项目工程

在父工程下面创建新的模块

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勾选上依赖然后创建

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具体的依赖如下

<?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 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>3.2.4</version><relativePath/> <!-- lookup parent from repository --></parent><!-- Generated by https://start.springboot.io --><!-- 优质的 spring/boot/data/security/cloud 框架中文文档尽在 => https://springdoc.cn --><groupId>com.ysl</groupId><artifactId>SpringAi</artifactId><version>0.0.1-SNAPSHOT</version><packaging>pom</packaging><name>SpringAi</name><description>SpringAi</description><modules><module>spring-ai-01-chat</module></modules><properties><java.version>17</java.version>
<!--        快照版本--><spring-ai.version>1.0.0-SNAPSHOT</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></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-devtools</artifactId><scope>runtime</scope><optional>true</optional></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></dependencies>
<!--    相当于继承一个父项目：spring-ai-bom--><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><image><builder>paketobuildpacks/builder-jammy-base:latest</builder></image><excludes><exclude><groupId>org.projectlombok</groupId><artifactId>lombok</artifactId></exclude></excludes></configuration></plugin></plugins></build><!--~配置本项目的仓库：因maven中心仓库还设有更新spring ai的jar包--><repositories><repository>
<!--            里程碑版本releases的仓库，改成快照版本的snapshot--><id>spring-snapshot</id><name>Spring Snapshots</name><url>https://repo.spring.io/snapshot</url><releases><enabled>false</enabled></releases></repository></repositories></project>

编写yml配置

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openai有自动配置类OpenAiAutoConfiguration

其中有聊天客户端，图片客户端…等（看下面源码）

//聊天客户端
@Bean@ConditionalOnMissingBean@ConditionalOnProperty(prefix = OpenAiChatProperties.CONFIG_PREFIX, name = "enabled", havingValue = "true",matchIfMissing = true)public OpenAiChatClient openAiChatClient(OpenAiConnectionProperties commonProperties,OpenAiChatProperties chatProperties, RestClient.Builder restClientBuilder,List<FunctionCallback> toolFunctionCallbacks, FunctionCallbackContext functionCallbackContext,RetryTemplate retryTemplate, ResponseErrorHandler responseErrorHandler) {var openAiApi = openAiApi(chatProperties.getBaseUrl(), commonProperties.getBaseUrl(),chatProperties.getApiKey(), commonProperties.getApiKey(), restClientBuilder, responseErrorHandler);if (!CollectionUtils.isEmpty(toolFunctionCallbacks)) {chatProperties.getOptions().getFunctionCallbacks().addAll(toolFunctionCallbacks);}return new OpenAiChatClient(openAiApi, chatProperties.getOptions(), functionCallbackContext, retryTemplate);}

//图片客户端
@Bean@ConditionalOnMissingBean@ConditionalOnProperty(prefix = OpenAiImageProperties.CONFIG_PREFIX, name = "enabled", havingValue = "true",matchIfMissing = true)public OpenAiImageClient openAiImageClient(OpenAiConnectionProperties commonProperties,OpenAiImageProperties imageProperties, RestClient.Builder restClientBuilder, RetryTemplate retryTemplate,ResponseErrorHandler responseErrorHandler) {String apiKey = StringUtils.hasText(imageProperties.getApiKey()) ? imageProperties.getApiKey(): commonProperties.getApiKey();String baseUrl = StringUtils.hasText(imageProperties.getBaseUrl()) ? imageProperties.getBaseUrl(): commonProperties.getBaseUrl();Assert.hasText(apiKey, "OpenAI API key must be set");Assert.hasText(baseUrl, "OpenAI base URL must be set");var openAiImageApi = new OpenAiImageApi(baseUrl, apiKey, restClientBuilder, responseErrorHandler);return new OpenAiImageClient(openAiImageApi, imageProperties.getOptions(), retryTemplate);}

二、一个简单的示例

1、直接写一个Controller层就可以

package com.ysl.controller;import jakarta.annotation.Resource;
import org.springframework.ai.chat.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.openai.OpenAiChatClient;
import org.springframework.ai.openai.OpenAiChatOptions;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import reactor.core.publisher.Flux;/**
* @Author Ysl
* @Date 2024/5/11
* @name SpringAi
**/
@RestController
public class ChatController {/*** OpenAi自动装配，可以直接注入使用*/@Resourceprivate OpenAiChatClient openAiChatClient;/*** 调用OpenAi的接口,call方法为同步的api* @param msg 你要问的问题* @return*/@RequestMapping ("/ai/chat")public String chat(@RequestParam("msg") String msg) {String call = openAiChatClient.call(msg);return call;}/*** 调用OpenAi的接口* @param msg 你要问的问题* @return  Object--json对象*/@RequestMapping ("/ai/chat1")public Object chat1(@RequestParam("msg") String msg) {ChatResponse response = openAiChatClient.call(new Prompt(msg));return response;
//        return response.getResult().getOutput().getContent();//只拿到内容}/*** 调用OpenAi的接口* @param msg 你要问的问题* @return*/@RequestMapping ("/ai/chat3")public String chat3(@RequestParam("msg") String msg) {//可选参数在yml配置，同时在代码中也配置，那么会以代码为准ChatResponse response = openAiChatClient.call(new Prompt(msg, OpenAiChatOptions.builder()
//                .withModel("gpt-4")//使用的模型.withTemperature(0.3F)//温度越高回答越慢，温度越低回答越快.build()));return response.getResult().getOutput().getContent();}/*** 调用OpenAi的接口 stream是流式的api* @param msg 你要问的问题* @return*/@RequestMapping ("/ai/chat4")public Object chat4(@RequestParam("msg") String msg) {//可选参数在yml配置，同时在代码中也配置，那么会以代码为准Flux<ChatResponse> flux = openAiChatClient.stream(new Prompt(msg, OpenAiChatOptions.builder()
//                .withModel("gpt-3.5")//使用的模型.withTemperature(0.3F)//温度越高回答越慢，温度越低回答越快.build()));flux.toStream().forEach(chatResponse ->{System.out.println(chatResponse.getResult().getOutput().getContent());});return flux.collectList();//数据的序列}
}