2024版本idea集成SpringBoot + Ai 手写一个chatgpt 【推荐】

2024-05-12 07:52:04
开发
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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：

在这里插入图片描述
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
     */
    @Resource
    private 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
    }
}

2、直接在浏览器访问

http://localhost:8080/ai/chat?msg=24年经济形势
http://localhost:8080/ai/chat1?msg=24年经济形势
http://localhost:8080/ai/chat3?msg=java怎么学

OpenAi聊天客户端就写到这里，接下来是图片客户端。

原文地址:https://blog.csdn.net/qq_53438100/article/details/138705571 本文来自互联网用户投稿，该文观点仅代表作者本人，不代表本站立场。本站仅提供信息存储空间服务，不拥有所有权，不承担相关法律责任。如若转载，请注明出处：https://www.suanlizi.com/kf/1789443385900273664.html 如若内容造成侵权/违法违规/事实不符，请联系《酸梨子》网邮箱：1419361763@qq.com进行投诉反馈，一经查实，立即删除！

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