spring boot 嵌入chatGPT步骤

一、需要良好的网络
二、需要在OpenAI官网https://openai.com/注册用户，并获取一个api-key，sk开头的
验证是否可用网站：http://tools.lbbit.top/check_key_valid/
三、spring boot 配置文件

openai.proxyHost=127.0.0.1
openai.proxyPort=7890
openai.keys=sk-xxxxxxxxxx
openai.proxy=https://xxxxxxx/

四、新建配置类AiServiceFactory

import com.fasterxml.jackson.databind.ObjectMapper;
import com.theokanning.openai.client.OpenAiApi;
import com.theokanning.openai.service.OpenAiService;
import okhttp3.OkHttpClient;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Component;
import retrofit2.Retrofit;import java.net.InetSocketAddress;
import java.net.Proxy;
import java.time.Duration;@Component
public class AiServiceFactory {@Value("${openai.proxyHost}")private String proxyHost;/*** 代理端口*/@Value("${openai.proxyPort}")private Integer proxyPort;/*** openai apikey*/@Value("${openai.keys}")private String token;@Value("${openai.proxy}")private String proxyIp;private static final Duration DEFAULT_TIMEOUT = Duration.ofSeconds(10L);public OpenAiService createService() {ObjectMapper mapper = OpenAiService.defaultObjectMapper();// 设置代理Proxy proxy = new Proxy(Proxy.Type.HTTP, new InetSocketAddress(proxyHost, proxyPort));OkHttpClient client = OpenAiService.defaultClient(token, DEFAULT_TIMEOUT).newBuilder().proxy(proxy).build();Retrofit retrofit = OpenAiService.defaultRetrofit(client, mapper).newBuilder().baseUrl(proxyIp).build();return new OpenAiService(retrofit.create(OpenAiApi.class), client.dispatcher().executorService());}
}

如果需要中转站代理的话，该类里面的方法如下

public OpenAiService createService() {ObjectMapper mapper = OpenAiService.defaultObjectMapper();// 设置代理
//        Proxy proxy = new Proxy(Proxy.Type.HTTP, new InetSocketAddress(proxyHost, proxyPort));
//        Proxy proxy = new Proxy(Proxy.Type.HTTP, new InetSocketAddress(proxyIp, 8080));OkHttpClient client = OpenAiService.defaultClient(token, DEFAULT_TIMEOUT).newBuilder()
//                .proxy(proxy).build();Retrofit retrofit = OpenAiService.defaultRetrofit(client, mapper).newBuilder().baseUrl(proxyIp).build();//代理服务器，中转站return new OpenAiService(retrofit.create(OpenAiApi.class), client.dispatcher().executorService());}

五、测试控制器，当然也可以写进service层

package com.example.springbootest3_2.controller;import com.example.springbootest3_2.config.AiServiceFactory;
import com.theokanning.openai.completion.chat.*;
import com.theokanning.openai.service.OpenAiService;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RestController;import javax.annotation.Resource;
import java.io.UnsupportedEncodingException;
import java.net.URLDecoder;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;@RestController
public class OpenAiController {@Resourceprivate AiServiceFactory aiServiceFactory;@PostMapping("/testChat")public String testChat(@RequestBody Map<String,String> params) throws UnsupportedEncodingException {OpenAiService service = aiServiceFactory.createService();final List<ChatMessage> messages = new ArrayList<>();final ChatMessage systemMessage = new ChatMessage(ChatMessageRole.USER.value(),URLDecoder.decode(params.get("contents"),"UTF-8"));messages.add(systemMessage);ChatCompletionRequest chatCompletionRequest = ChatCompletionRequest.builder().model("gpt-3.5-turbo").messages(messages).temperature(0.5)
//                .n(1)
//                .maxTokens(50)
//                .logitBias(new HashMap<>()).build();ChatCompletionResult chatCompletionResult=service.createChatCompletion(chatCompletionRequest);List<ChatCompletionChoice> compList=chatCompletionResult.getChoices();StringBuilder sb = new StringBuilder();for (ChatCompletionChoice comp : compList) {sb.append(comp.getMessage().getContent());}return sb.toString();}}