ChatGPT OpenAI接口调用示例

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最近为公司做了一个ChatGPT工具，这里展示一下OpenAI接口的调用

前提条件

访问OpenAI官网（国内需要翻墙）的账号，需要sk
地址：https://platform.openai

依赖

使用开源工具调用OpenAI接口，依赖如下：

        <dependency>
            <groupId>com.unfbx</groupId>
            <artifactId>chatgpt-java</artifactId>
            <version>1.1.2-beta0</version>
        </dependency>

代码示例

import cn.hutool.core.collection.CollUtil;
import cn.hutool.core.map.MapUtil;

import com.unfbx.chatgpt.OpenAiClient;
import com.unfbx.chatgpt.entity.chat.ChatChoice;
import com.unfbx.chatgpt.entity.chat.ChatCompletion;
import com.unfbx.chatgpt.entity.chat.ChatCompletionResponse;
import com.unfbx.chatgpt.entity.chat.Message;
import com.unfbx.chatgpt.function.KeyRandomStrategy;
import com.unfbx.chatgpt.interceptor.OpenAILogger;
import com.unfbx.chatgpt.interceptor.OpenAiResponseInterceptor;
import com.unfbx.chatgpt.utils.TikTokensUtil;
import lombok.extern.slf4j.Slf4j;
import okhttp3.*;
import okhttp3.logging.HttpLoggingInterceptor;

import java.io.IOException;
import java.net.InetSocketAddress;
import java.net.Proxy;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
import java.util.Map;
import java.util.concurrent.TimeUnit;

/**
 * 请求OpenAI接口示例
 */
@Slf4j
public class OpenAIDemo {

    public static void main(String[] args) {
        getOpenAiResult("你好");
    }

    private static OpenAiResult getOpenAiResult(String questionContent) {
        OpenAiClient openAiClient = builderOpenAiClient();
        //聊天模型：gpt-3.5
        Message message = Message.builder().role(Message.Role.USER).content(questionContent).build();
        ChatCompletion chatCompletion = ChatCompletion
            .builder()
            .messages(Collections.singletonList(message))
            .model(ChatCompletion.Model.GPT_3_5_TURBO_0613.getName()) //指定模型
            .build();
        ChatCompletionResponse chatCompletionResponse = openAiClient.chatCompletion(chatCompletion);
        List<ChatChoice> choices = chatCompletionResponse.getChoices();
        //获取请求的tokens数量
        long tokens = chatCompletion.tokens();
        //这种方式也可以
//        long tokens = TikTokensUtil.tokens(chatCompletion.getModel(),messages);
        log.info("Message集合文本：【{}】", questionContent);
        log.info("本地计算的请求的tokens数{}", tokens);
        log.info("本地计算的返回的tokens数{}", TikTokensUtil.tokens(chatCompletion.getModel(), chatCompletionResponse.getChoices().get(0).getMessage().getContent()));
        log.info("Open AI 官方计算的总的tokens数{}", chatCompletionResponse.getUsage().getTotalTokens());
        log.info("Open AI 官方计算的请求的tokens数{}", chatCompletionResponse.getUsage().getPromptTokens());
        log.info("Open AI 官方计算的返回的tokens数{}", chatCompletionResponse.getUsage().getCompletionTokens());
        OpenAiResult result = new OpenAiResult();
        result.setChatCompletion(chatCompletion)
            .setChatCompletionResponse(chatCompletionResponse)
            .setLocalToken(tokens)
            .setCompletionTokens(chatCompletionResponse.getUsage().getCompletionTokens())
            .setTotalTokens(chatCompletionResponse.getUsage().getTotalTokens())
            .setPromptTokens(chatCompletionResponse.getUsage().getPromptTokens());
        if (CollUtil.isNotEmpty(choices)) {
            result.setContent(choices.get(0).getMessage().getContent());
            log.info("Open AI 官方计算的返回的结果{}", result.getContent());
        }
        return result;
    }

    private static OpenAiClient builderOpenAiClient() {
        Map<String, String> proxyUser = setProxyUser();
        //可以为null
        Proxy proxy = new Proxy(Proxy.Type.HTTP,
            new InetSocketAddress(proxyUser.get("PROXY_HOST"), Integer.valueOf(proxyUser.get("PROXY_PORT"))));
        //设置socks代理服务器ip端口
        Authenticator proxyAuthenticator = new Authenticator() {
            @Override
            public Request authenticate(Route route, Response response) throws IOException {
                String credential = Credentials.basic(proxyUser.get("PROXY_USERNAME"), proxyUser.get("PROXY_PASSWORD"));
                return response.request().newBuilder()
                    .header("Proxy-Authorization", credential)
                    .build();
            }
        };

        HttpLoggingInterceptor httpLoggingInterceptor = new HttpLoggingInterceptor(new OpenAILogger());
        //！！！！千万别再生产或者测试环境打开BODY级别日志！！！！
        //！！！生产或者测试环境建议设置为这三种级别：NONE,BASIC,HEADERS,！！！
        httpLoggingInterceptor.setLevel(HttpLoggingInterceptor.Level.HEADERS);
        OkHttpClient okHttpClient = new OkHttpClient
            .Builder()
            .proxy(proxy)
            .proxyAuthenticator(proxyAuthenticator)
            .addInterceptor(httpLoggingInterceptor)
            .addInterceptor(new OpenAiResponseInterceptor())
            .connectTimeout(60, TimeUnit.SECONDS)
            .writeTimeout(60, TimeUnit.SECONDS)
            .readTimeout(60, TimeUnit.SECONDS)
            .build();
        OpenAiClient openAiClient = OpenAiClient.builder()
            //支持多key传入，请求时候随机选择 openAiSk
            .apiKey(Arrays.asList("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"))
//            .apiKey(Arrays.asList("sk-########"))
            //自定义key的获取策略：默认KeyRandomStrategy
            .keyStrategy(new KeyRandomStrategy())
            .okHttpClient(okHttpClient)
            //自己做了代理就传代理地址
//                .apiHost("https://自己代理的服务器地址/")
            .build();

        return openAiClient;
    }

/**
*因为国内不能直接访问OpenAI接口，必须通过翻墙工具访问
*/
    private static Map<String, String> setProxyUser() {
        Map<String, String> proxyUser = MapUtil.newHashMap();
        proxyUser.put("PROXY_USERNAME", "****");
        proxyUser.put("PROXY_PASSWORD", "****");
        proxyUser.put("PROXY_HOST", "****");
        proxyUser.put("PROXY_PORT", "****");
        return proxyUser;
    }
}

import com.unfbx.chatgpt.entity.chat.ChatCompletion;
import com.unfbx.chatgpt.entity.chat.ChatCompletionResponse;
import lombok.Data;
import lombok.experimental.Accessors;


@Data
@Accessors(chain = true)
public class OpenAiResult {

    /**
     * 本地接口请求信息
     */
    private ChatCompletion chatCompletion;


    /**
     * OpenAI接口返回信息对象
     */
    private ChatCompletionResponse chatCompletionResponse;

    /**
     * 本地请求计算的token
     */
    private long localToken;
    /**
     * OpenAI接口返回信息
     */
    private String content;

    /**
     * 官方计算的请求的tokens数
     */
    private long promptTokens;
    /**
     * 官方计算的返回的tokens数{
     */
    private long completionTokens;

    /**
     * 官方计算的总的tokens数
     */
    private long totalTokens;
}

调用结果

本文标签： 示例 接口 ChatGpt OpenAI