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ChatGPT Java SDK。支持 GPT-4o、 GPT4 API。开箱即用。An unofficial Java SDK for seamless integration with ChatGPT's GPT-3.5 and GPT-4 APIs. Ready-to-use, simple setup, and efficient for building AI-powered applications.

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ChatGPT Java API

stable Maven Central

English Doc.

OpenAI ChatGPT 的SDK。觉得不错请右上角Star

功能特性

功能 特性
GPT 3.5 支持
GPT 4.0 支持
GPT 4o 支持
GPT 4o-mini 支持
函数调用 支持
流式对话 支持
上下文 支持
计算Token 支持
多KEY轮询 支持
代理 支持
反向代理 支持

使用指南

参考Demo https://github.com/PlexPt/chatgpt-online-springboot

最新版本 Maven Central

maven

<dependency>
    <groupId>com.github.plexpt</groupId>
    <artifactId>chatgpt</artifactId>
    <version>6.0.0</version>
</dependency>

gradle

implementation group: 'com.github.plexpt', name: 'chatgpt', version: '6.0.0'

最简使用

      //国内需要代理
      Proxy proxy = Proxys.http("127.0.0.1", 1081);
     //socks5 代理
    // Proxy proxy = Proxys.socks5("127.0.0.1", 1080);

      ChatGPT chatGPT = ChatGPT.builder()
                .apiKey("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")
                .proxy(proxy)
                .apiHost("https://api.openai.com/") //反向代理地址
                .build()
                .init();
                
        String res = chatGPT.chat("写一段七言绝句诗,题目是:火锅!");
        System.out.println(res);

也可以使用这个类进行测试 ConsoleChatGPT

进阶使用

      //国内需要代理 国外不需要
      Proxy proxy = Proxys.http("127.0.0.1", 1080);

      ChatGPT chatGPT = ChatGPT.builder()
                .apiKey("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")
                .proxy(proxy)
                .timeout(900)
                .apiHost("https://api.openai.com/") //反向代理地址
                .build()
                .init();
     
        Message system = Message.ofSystem("你现在是一个诗人,专门写七言绝句");
        Message message = Message.of("写一段七言绝句诗,题目是:火锅!");

        ChatCompletion chatCompletion = ChatCompletion.builder()
                .model(ChatCompletion.Model.GPT_3_5_TURBO.getName())
                .messages(Arrays.asList(system, message))
                .maxTokens(3000)
                .temperature(0.9)
                .build();
        ChatCompletionResponse response = chatGPT.chatCompletion(chatCompletion);
        System.out.println(response.toPlainString());

计算token数

        Message system = Message.ofSystem("你现在是一个诗人,专门写七言绝句");
        Message message = Message.of("写一段七言绝句诗,题目是:火锅!");

        ChatCompletion chatCompletion1 = ChatCompletion.builder()
        .model(ChatCompletion.Model.GPT_3_5_TURBO)
        .messages(Arrays.asList(system, message))
        .maxTokens(3000)
        .temperature(0.9)
        .build();
        ChatCompletion chatCompletion2 = ChatCompletion.builder()
        .model(ChatCompletion.Model.GPT4)
        .messages(Arrays.asList(system, message))
        .maxTokens(3000)
        .temperature(0.9)
        .build();

        log.info("{} tokens: {}", chatCompletion1.getModel(), chatCompletion1.countTokens());
        log.info("{} tokens: {}", chatCompletion2.getModel(), chatCompletion2.countTokens());

函数调用(Function Call)

      //国内需要代理 国外不需要
          Proxy proxy = Proxys.http("127.0.0.1", 1080);

                  chatGPT = ChatGPT.builder()
                  .apiKey("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")
                  .timeout(900)
                  .proxy(proxy)
                  .apiHost("https://api.openai.com/") //代理地址
                  .build()
                  .init();

        List<ChatFunction> functions = new ArrayList<>();
        ChatFunction function = new ChatFunction();
        function.setName("getCurrentWeather");
        function.setDescription("获取给定位置的当前天气");
        function.setParameters(ChatFunction.ChatParameter.builder()
        .type("object")
        .required(Arrays.asList("location"))
        .properties(JSON.parseObject("{\n" +
        "          \"location\": {\n" +
        "            \"type\": \"string\",\n" +
        "            \"description\": \"The city and state, e.g. San Francisco, " +
        "CA\"\n" +
        "          },\n" +
        "          \"unit\": {\n" +
        "            \"type\": \"string\",\n" +
        "            \"enum\": [\"celsius\", \"fahrenheit\"]\n" +
        "          }\n" +
        "        }"))
        .build());
        functions.add(function);

        Message message = Message.of("上海的天气怎么样?");
        ChatCompletion chatCompletion = ChatCompletion.builder()
        .model(ChatCompletion.Model.GPT_3_5_TURBO_0613.getName())
        .messages(Arrays.asList(message))
        .functions(functions)
        .maxTokens(8000)
        .temperature(0.9)
        .build();
        ChatCompletionResponse response = chatGPT.chatCompletion(chatCompletion);
        ChatChoice choice = response.getChoices().get(0);
        Message res = choice.getMessage();
        System.out.println(res);
        if ("function_call".equals(choice.getFinishReason())) {

        FunctionCallResult functionCall = res.getFunctionCall();
        String functionCallName = functionCall.getName();

        if ("getCurrentWeather".equals(functionCallName)) {
        String arguments = functionCall.getArguments();
        JSONObject jsonObject = JSON.parseObject(arguments);
        String location = jsonObject.getString("location");
        String unit = jsonObject.getString("unit");
        String weather = getCurrentWeather(location, unit);

        callWithWeather(weather, res, functions);
        }
        }


    private void callWithWeather(String weather, Message res, List<ChatFunction> functions) {


        Message message = Message.of("上海的天气怎么样?");
        Message function1 = Message.ofFunction(weather);
        function1.setName("getCurrentWeather");
        ChatCompletion chatCompletion = ChatCompletion.builder()
        .model(ChatCompletion.Model.GPT_3_5_TURBO_0613.getName())
        .messages(Arrays.asList(message, res, function1))
        .functions(functions)
        .maxTokens(8000)
        .temperature(0.9)
        .build();
        ChatCompletionResponse response = chatGPT.chatCompletion(chatCompletion);
        ChatChoice choice = response.getChoices().get(0);
        Message res2 = choice.getMessage();
        //上海目前天气晴朗,气温为 22 摄氏度。
        System.out.println(res2.getContent());
        }

    public String getCurrentWeather(String location, String unit) {
        return "{ \"temperature\": 22, \"unit\": \"celsius\", \"description\": \"晴朗\" }";
        }

流式使用

      //国内需要代理 国外不需要
      Proxy proxy = Proxys.http("127.0.0.1", 1080);

      ChatGPTStream chatGPTStream = ChatGPTStream.builder()
                .timeout(600)
                .apiKey("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")
                .proxy(proxy)
                .apiHost("https://api.openai.com/")
                .build()
                .init();

                
        ConsoleStreamListener listener = new ConsoleStreamListener();
        Message message = Message.of("写一段七言绝句诗,题目是:火锅!");
        ChatCompletion chatCompletion = ChatCompletion.builder()
                .messages(Arrays.asList(message))
                .build();
        chatGPTStream.streamChatCompletion(chatCompletion, listener);

流式配合Spring SseEmitter使用

参考 SseStreamListener

你可能在找这个,参考Demo https://github.com/PlexPt/chatgpt-online-springboot

  

    @GetMapping("/chat/sse")
    @CrossOrigin
    public SseEmitter sseEmitter(String prompt) {
       //国内需要代理 国外不需要
       Proxy proxy = Proxys.http("127.0.0.1", 1080);

       ChatGPTStream chatGPTStream = ChatGPTStream.builder()
                .timeout(600)
                .apiKey("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")
                .proxy(proxy)
                .apiHost("https://api.openai.com/")
                .build()
                .init();
        
        SseEmitter sseEmitter = new SseEmitter(-1L);

        SseStreamListener listener = new SseStreamListener(sseEmitter);
        Message message = Message.of(prompt);

        listener.setOnComplate(msg -> {
            //回答完成,可以做一些事情
        });
        chatGPTStream.streamChatCompletion(Arrays.asList(message), listener);


        return sseEmitter;
    }

多KEY自动轮询

只需替换chatGPT构造部分

chatGPT = ChatGPT.builder()
        .apiKeyList(
               // 从数据库或其他地方取出多个KEY
                Arrays.asList("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",
                        "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",
                        "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",
                        "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",
                        ))
        .timeout(900)
        .proxy(proxy)
        .apiHost("https://api.openai.com/") //代理地址
        .build()
        .init();

上下文

参考 ChatContextHolder.java

常见问题

KEY从哪来? 手动注册生成:openai.com(需要海外手机号)、或者GPT API 额度购买(微信)
哪些地区不能用 以下国家IP不支持使用:中国(包含港澳台) 俄罗斯 乌克兰 阿富汗 白俄罗斯 委内瑞拉 伊朗 埃及
有封号风险吗 使用代理有一定的风险。
显示Your access was terminated due to violation of our policies... 你号没了,下一个
显示That model is currently overloaded with other requests. You can retry your request 模型过载,官方炸了,重试
如何充值? 用国外信用卡,国内的不行
没有国外信用卡怎么办? 暂时没有特别好的办法待定
返回http 401 API 密钥写错了/没写
返回http 429 请求超速了,或者官方超载了。充钱可解决
返回http 500 服务器炸了

注册教程

https://juejin.cn/post/7173447848292253704

https://mirror.xyz/boxchen.eth/9O9CSqyKDj4BKUIil7NC1Sa1LJM-3hsPqaeW_QjfFBc

另外请看看我的另一个项目 ChatGPT中文使用指南

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ChatGPT Java SDK。支持 GPT-4o、 GPT4 API。开箱即用。An unofficial Java SDK for seamless integration with ChatGPT's GPT-3.5 and GPT-4 APIs. Ready-to-use, simple setup, and efficient for building AI-powered applications.

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