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Java版GPT的StreamClient
- 可作为其他编程语言的参考
- 注意: 下面包名中的 xxx 可以换成自己的
- 代码基于java，来源于网络，可修改成其他编程语言实现
- 参考前文: https://blog.csdn.net/Tyro_java/article/details/134748994
1 ）核心代码结构设计
- src
- main
- java
- com.xxx.gpt.client
- listener
- AbstractStreamListener.java
- ConsoleStreamListener.java
- ChatGPTStreamClient.java
- …
- listener
- com.xxx.gpt.client
- java
- test
- java
- com.xxx.gpt.client.test
- StreamClientTest.java
- …
- com.xxx.gpt.client.test
- java
- main
2 ）相关程序如下
- 前文，通过我们开发的Client能够正常的和 Open AI 进行交互，能够去调用GPT的API
- 通过API将我们的 message 请求发送给GPT并且正常的接收到了GPT对我们的返回
- 在前面我们去浏览 GPT 它的API的时候，我们发现它是支持流式访问的
- 我们可以开发一个Stream的Client，能够支持流式的接收GPT的响应
- 流式的Client在很多场景下也是非常有必要的
- 首先需要去先创建一个listener，去流式的接收GPT的返回, 我们实现一个 AbstractStreamListener 类 和 ConsoleStreamListener 类
- 需要继承于 EventSourceListener, 内部添加几个方法
- onOpen
- onEvent, 可以获取到流失的输入，这个是重点
- onClosed
- onFailure
AbstractStreamListener.java
package com.xxx.gpt.client.listener;import cn.hutool.core.util.StrUtil;
import com.alibaba.fastjson.JSON;
import com.xxx.gpt.client.entity.ChatChoice;
import com.xxx.gpt.client.entity.ChatCompletionResponse;
import com.xxx.gpt.client.entity.Message;
import lombok.Getter;
import lombok.Setter;
import lombok.SneakyThrows;
import lombok.extern.slf4j.Slf4j;
import okhttp3.Response;
import okhttp3.sse.EventSource;
import okhttp3.sse.EventSourceListener;import java.util.List;
import java.util.Objects;
import java.util.function.Consumer;@Slf4j
public abstract class AbstractStreamListener extends EventSourceListener {protected String lastMessage = "";/*** Called when all new message are received.** @param message the new message*/@Setter@Getterprotected Consumer<String> onComplate = s -> {};/*** Called when a new message is received.* 收到消息 单个字** @param message the new message*/public abstract void onMsg(String message);/*** Called when an error occurs.* 出错时调用** @param throwable the throwable that caused the error* @param response the response associated with the error, if any*/public abstract void onError(Throwable throwable, String response);@Overridepublic void onOpen(EventSource eventSource, Response response) {// do nothing}@Overridepublic void onClosed(EventSource eventSource) {// do nothing}@Overridepublic void onEvent(EventSource eventSource, String id, String type, String data) {if (data.equals("[DONE]")) {onComplate.accept(lastMessage);return;}// 将数据反序列化为 GPT的 responseChatCompletionResponse response = JSON.parseObject(data, ChatCompletionResponse.class);// 获取GPT的返回，读取JsonList<ChatChoice> choices = response.getChoices();// 为空则 returnif (choices == null || choices.isEmpty()) {return;}// 获取流式信息Message delta = choices.get(0).getDelta();String text = delta.getContent();if (text != null) {lastMessage += text;onMsg(text);}}@SneakyThrows@Overridepublic void onFailure(EventSource eventSource, Throwable throwable, Response response) {try {log.error("Stream connection error: {}", throwable);String responseText = "";if (Objects.nonNull(response)) {responseText = response.body().string();}log.error("response：{}", responseText);String forbiddenText = "Your access was terminated due to violation of our policies";if (StrUtil.contains(responseText, forbiddenText)) {log.error("Chat session has been terminated due to policy violation");log.error("检测到号被封了");}String overloadedText = "That model is currently overloaded with other requests.";if (StrUtil.contains(responseText, overloadedText)) {log.error("检测到官方超载了，赶紧优化你的代码，做重试吧");}this.onError(throwable, responseText);} catch (Exception e) {log.warn("onFailure error:{}", e);// do nothing} finally {eventSource.cancel();}}
}
ConsoleStreamListener.java
package com.xxx.gpt.client.listener;import lombok.extern.slf4j.Slf4j;@Slf4j
public class ConsoleStreamListener extends AbstractStreamListener {@Overridepublic void onMsg(String message) {System.out.print(message);}@Overridepublic void onError(Throwable throwable, String response) {}
}
- 再创建一个 ChatGPTStreamClient 类
- 添加如下相关属性
- 添加 init 方法
- 完成 streamChatCompletion 方法
ChatGPTStreamClient.java
package com.xxx.gpt.client;import cn.hutool.core.util.RandomUtil;
import cn.hutool.http.ContentType;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.xxx.gpt.client.entity.ChatCompletion;
import com.xxx.gpt.client.entity.Message;
import lombok.AllArgsConstructor;
import lombok.Builder;
import lombok.Data;
import lombok.NoArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import okhttp3.MediaType;
import okhttp3.OkHttpClient;
import okhttp3.Request;
import okhttp3.RequestBody;
import okhttp3.sse.EventSource;
import okhttp3.sse.EventSourceListener;
import okhttp3.sse.EventSources;import java.net.Proxy;
import java.util.List;
import java.util.Objects;
import java.util.concurrent.TimeUnit;@Slf4j
@Data
@Builder
@NoArgsConstructor
@AllArgsConstructor
public class ChatGPTStreamClient {private String apiKey;private List<String> apiKeyList;private OkHttpClient okHttpClient;/*** 连接超时*/@Builder.Defaultprivate long timeout = 90;/*** 网络代理*/@Builder.Defaultprivate Proxy proxy = Proxy.NO_PROXY;/*** 反向代理*/@Builder.Defaultprivate String apiHost = ChatApi.CHAT_GPT_API_HOST;/*** 初始化*/public ChatGPTStreamClient init() {OkHttpClient.Builder client = new OkHttpClient.Builder();client.connectTimeout(timeout, TimeUnit.SECONDS);client.writeTimeout(timeout, TimeUnit.SECONDS);client.readTimeout(timeout, TimeUnit.SECONDS);if (Objects.nonNull(proxy)) {client.proxy(proxy);}okHttpClient = client.build();return this;}/*** 流式输出*/public void streamChatCompletion(ChatCompletion chatCompletion,EventSourceListener eventSourceListener) {chatCompletion.setStream(true);try {EventSource.Factory factory = EventSources.createFactory(okHttpClient);ObjectMapper mapper = new ObjectMapper();String requestBody = mapper.writeValueAsString(chatCompletion);String key = apiKey;if (apiKeyList != null && !apiKeyList.isEmpty()) {key = RandomUtil.randomEle(apiKeyList);}Request request = new Request.Builder().url(apiHost + "v1/chat/completions").post(RequestBody.create(MediaType.parse(ContentType.JSON.getValue()),requestBody)).header("Authorization", "Bearer " + key).build();factory.newEventSource(request, eventSourceListener);} catch (Exception e) {log.error("请求出错：{}", e);}}/*** 流式输出*/public void streamChatCompletion(List<Message> messages,EventSourceListener eventSourceListener) {ChatCompletion chatCompletion = ChatCompletion.builder().messages(messages).stream(true).build();streamChatCompletion(chatCompletion, eventSourceListener);}
}
再添加一个测试方法 StreamClientTest.java
package com.xxx.gpt.client.test;import com.xxx.gpt.client.ChatGPTStreamClient;
import com.xxx.gpt.client.entity.ChatCompletion;
import com.xxx.gpt.client.entity.Message;
import com.xxx.gpt.client.listener.ConsoleStreamListener;
import com.xxx.gpt.client.util.Proxys;
import org.junit.Before;
import org.junit.Test;import java.net.Proxy;
import java.util.Arrays;
import java.util.concurrent.CountDownLatch;public class StreamClientTest {private ChatGPTStreamClient chatGPTStreamClient;@Beforepublic void before() {Proxy proxy = Proxys.http("127.0.0.1", 7890);chatGPTStreamClient = ChatGPTStreamClient.builder().apiKey("sk-6kchadsfsfkc3aIs66ct") // 填入自己的 key.proxy(proxy).timeout(600).apiHost("https://api.openai.com/").build().init();}@Testpublic void chatCompletions() {ConsoleStreamListener listener = new ConsoleStreamListener();Message message = Message.of("写一段七言绝句诗");ChatCompletion chatCompletion = ChatCompletion.builder().messages(Arrays.asList(message)).build();chatGPTStreamClient.streamChatCompletion(chatCompletion, listener);try {Thread.sleep(10000);} catch (InterruptedException e) {throw new RuntimeException(e);}}
}
- 这样，程序基本已经完成了
- 这里构建了一个流式访问的参数，然后去调用GPT的API实现了流式的输出
- 可参考以上 Java 版实现, 去实现其他语言版本的 StreamClient