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ChatGPT Java SDK支持流式输出。支持OpenAI官方所有接口。ChatGPT的Java客户端。OpenAI GPT-3.5-Turb GPT-4 Api Client for Java

Home Page: https://www.unfbx.com

License: Apache License 2.0

Java 100.00%

chatgpt-java's Introduction

it’s an “unofficial" or "community-maintained” library. 这是一个非官方的社区维护的库。有bug欢迎朋友们指出，互相学习。

原创发布转载注明出处！

To English Doc -> English Doc

💬 联系我，ChatGPT相关学习交流咨询全部免费。

一起探讨chatgpt-java，SDK问题咨询
项目产品开发交流		 群失效关注公众号恢复：chatgpt-java
二维码 二维码

📖 项目简介

ChatGPT的Java客户端 OpenAI官方Api的Java SDK，可以快速接入项目使用。支持OpenAI官方全部接口，同时支持Tokens计算。参考文档：Tokens_README.md。

TikToken Chat Completions Images Speech To Text 余额查询
Token计算 GPT-3.5、4.0对话模型 GPT-3.0对话 图片模型 语音转文字，语音翻译 余额查询
Embeddings Files Moderations Fine-tune Models
嵌入 自定义训练模型 文本审核，敏感词鉴别 微调 模型检索相关

支持流式输出：

流式输出实现方式 小程序 安卓 ios H5
SSE参考：OpenAISSEEventSourceListener 不支持 支持 支持 支持
WebSocket参考：OpenAIWebSocketEventSourceListener 支持 支持 支持 支持

基于本SDK开发的Demo项目，整合Spring Boot 实现CahtGPT对话模式，思路可以参考： https://github.com/Grt1228/chatgpt-steam-output

🚩 特性

  • 支持当key异常（失效、过期、封禁）时，自定义动态处理key 参考实现DynamicKeyOpenAiAuthInterceptor
  • 支持当key异常时的告警处理（钉钉、飞书、email、企业微信等等需要自定义开发）参考实现DynamicKeyOpenAiAuthInterceptor
  • 支持多种Tokens计算方式
  • 支持自定义OkhttpClient
  • 支持自定义多Apikey
  • 支持自定义ApiKey的获取策略
  • 支持余额查询
  • 支持个人账户信息查询
  • 支持GPT3、GPT3.5、GPT4.0
  • 支持全部OpenAI的Api

📑 更新日志

  • 1.0.13 支持当key异常（失效、过期、封禁）时，自定义动态处理key，参考实现DynamicKeyOpenAiAuthInterceptor ，支持key异常时的告警处理（钉钉、飞书、email、企业微信等等需要自定义开发）
  • 1.0.12 tokens计算优化、删除模型接口修改、语音接口更新支持官方最新参数
  • 1.0.11 增加新的余额查询接口参考：OpenAiClientTest 和OpenAiStreamClientTest ,修复tokens计算慢的问题，
  • 1.0.10 支持tokens计算：TikTokensTest ，更多详细的资料参考文档：Tokens_README.md
  • 1.0.9 支持自定义key使用策略参考：OpenAiClientTest 和OpenAiStreamClientTest ，弃用ChatGPTClient，优化Moderation接口
  • 1.0.8 修改OpenAiClient和OpenAiStreamClient的自定义相关实现，超时设置，代理设置，自定义拦截器设置改为通过自定义OkHttpClient实现，将OkHttpClient交由用户自定义控制更加合理，可以实现更多的参数自定义。支持多Api Keys配置。
  • 1.0.7 修复反序列化报错Bug：Grt1228#79 ，Image SDK枚举值bug：Grt1228#76 ，感谢两位朋友指出：@CCc3120 、@seven-cm
  • 1.0.6 支持余额查询参考：OpenAiClientTest 和OpenAiStreamClientTest creditGrants方法,支持最新GPT-4模型，参考：ChatCompletion.Model构建消息体传入模型即可。感谢群友提供的余额接口地址以及@PlexPt 提供的模型参数
  • 1.0.5 支持自定义Api Host，使用Builder构建。参考下面的快速开始部分代码。
  • 1.0.4 官方最新的ChatGPT Stream模式下的Api返回值改动。
  • 1.0.3 支持最新的GPT-3.5-Turbo模型和Whisper-1模型，支持语音功能转文字，语音翻译。OpenAiClient和OpenAiStreamClient支持Builder构造，支持代理。
  • 1.0.2 支持Stream流式输出，参考：OpenAiStreamClient
  • 1.0.1 支持自定义超时时间，自定义OkHttpClient拦截器，参考：OpenAiClient构造函数
  • 1.0.0 支持所有的OpenAI官方接口

🚀 快速开始

本项目支持默认输出和流式输出。完整SDK测试案例参考：

SDK测试案例 Tokens测试案例
OpenAiClientTest 和OpenAiStreamClientTest Tokens计算参考：TikTokensTest

方式一

1、导入pom依赖

<dependency>
    <groupId>com.unfbx</groupId>
    <artifactId>chatgpt-java</artifactId>
    <version>1.0.13</version>
</dependency>

2、流式客户端使用示例：

更多SDK示例参考：OpenAiStreamClientTest

默认OkHttpClient

public class Test {
    public static void main(String[] args) {
        OpenAiStreamClient client = OpenAiStreamClient.builder()
                .apiKey(Arrays.asList("sk-********","sk-********"))
                //自定义key的获取策略：默认KeyRandomStrategy
                //.keyStrategy(new KeyRandomStrategy())
                .keyStrategy(new FirstKeyStrategy())
                //自己做了代理就传代理地址，没有可不不传
//                .apiHost("https://自己代理的服务器地址/")
                .build();
        //聊天模型：gpt-3.5
        ConsoleEventSourceListener eventSourceListener = new ConsoleEventSourceListener();
        Message message = Message.builder().role(Message.Role.USER).content("你好啊我的伙伴！").build();
        ChatCompletion chatCompletion = ChatCompletion.builder().messages(Arrays.asList(message)).build();
        client.streamChatCompletion(chatCompletion, eventSourceListener);
        CountDownLatch countDownLatch = new CountDownLatch(1);
        try {
            countDownLatch.await();
        } catch (InterruptedException e) {
            e.printStackTrace();
        }
    }
}

自定义OkHttpClient客户端使用示例：

public class Test {
    public static void main(String[] args) {
        //国内访问需要做代理，国外服务器不需要
        Proxy proxy = new Proxy(Proxy.Type.HTTP, new InetSocketAddress("127.0.0.1", 7890));
        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)//自定义代理
                .addInterceptor(httpLoggingInterceptor)//自定义日志
                .connectTimeout(30, TimeUnit.SECONDS)//自定义超时时间
                .writeTimeout(30, TimeUnit.SECONDS)//自定义超时时间
                .readTimeout(30, TimeUnit.SECONDS)//自定义超时时间
                .build();
        OpenAiStreamClient client = OpenAiStreamClient.builder()
                .apiKey(Arrays.asList("sk-********","sk-********"))
                //自定义key的获取策略：默认KeyRandomStrategy
                //.keyStrategy(new KeyRandomStrategy())
                .keyStrategy(new FirstKeyStrategy())
                .okHttpClient(okHttpClient)
                //自己做了代理就传代理地址，没有可不不传
//                .apiHost("https://自己代理的服务器地址/")
                .build();
    }
}

输出日志（text是持续输出的）：

23:03:59.158 [省略无效信息] INFO com.unfbx.chatgpt.sse.ConsoleEventSourceListener - OpenAI建立sse连接...
23:03:59.160 [省略无效信息] INFO com.unfbx.chatgpt.sse.ConsoleEventSourceListener - OpenAI返回数据：{"id": "cmpl-6pIHnOOJiiUEVMesXwxzzcSQFoZHj", "object": "text_completion", "created": 1677683039, "choices": [{"text": "\n", "index": 0, "logprobs": null, "finish_reason": null}], "model": "text-davinci-003"}
23:03:59.172 [省略无效信息] INFO com.unfbx.chatgpt.sse.ConsoleEventSourceListener - OpenAI返回数据：{"id": "cmpl-6pIHnOOJiiUEVMesXwxzzcSQFoZHj", "object": "text_completion", "created": 1677683039, "choices": [{"text": "\n", "index": 0, "logprobs": null, "finish_reason": null}], "model": "text-davinci-003"}
23:03:59.251 [省略无效信息] INFO com.unfbx.chatgpt.sse.ConsoleEventSourceListener - OpenAI返回数据：{"id": "cmpl-6pIHnOOJiiUEVMesXwxzzcSQFoZHj", "object": "text_completion", "created": 1677683039, "choices": [{"text": "\u5fc3", "index": 0, "logprobs": null, "finish_reason": null}], "model": "text-davinci-003"}
23:03:59.313 [省略无效信息] INFO com.unfbx.chatgpt.sse.ConsoleEventSourceListener - OpenAI返回数据：{"id": "cmpl-6pIHnOOJiiUEVMesXwxzzcSQFoZHj", "object": "text_completion", "created": 1677683039, "choices": [{"text": "\u60c5", "index": 0, "logprobs": null, "finish_reason": null}], "model": "text-davinci-003"}
23:03:59.380 [省略无效信息] INFO com.unfbx.chatgpt.sse.ConsoleEventSourceListener - OpenAI返回数据：{"id": "cmpl-6pIHnOOJiiUEVMesXwxzzcSQFoZHj", "object": "text_completion", "created": 1677683039, "choices": [{"text": "\u8212", "index": 0, "logprobs": null, "finish_reason": null}], "model": "text-davinci-003"}
23:03:59.439 [省略无效信息] INFO com.unfbx.chatgpt.sse.ConsoleEventSourceListener - OpenAI返回数据：{"id": "cmpl-6pIHnOOJiiUEVMesXwxzzcSQFoZHj", "object": "text_completion", "created": 1677683039, "choices": [{"text": "\u7545", "index": 0, "logprobs": null, "finish_reason": null}], "model": "text-davinci-003"}
23:03:59.532 [省略无效信息] INFO com.unfbx.chatgpt.sse.ConsoleEventSourceListener - OpenAI返回数据：{"id": "cmpl-6pIHnOOJiiUEVMesXwxzzcSQFoZHj", "object": "text_completion", "created": 1677683039, "choices": [{"text": "\uff0c", "index": 0, "logprobs": null, "finish_reason": null}], "model": "text-davinci-003"}
23:03:59.579 [省略无效信息] INFO com.unfbx.chatgpt.sse.ConsoleEventSourceListener - OpenAI返回数据：{"id": "cmpl-6pIHnOOJiiUEVMesXwxzzcSQFoZHj", "object": "text_completion", "created": 1677683039, "choices": [{"text": "\u5fc3", "index": 0, "logprobs": null, "finish_reason": null}], "model": "text-davinci-003"}
23:03:59.641 [省略无效信息] INFO com.unfbx.chatgpt.sse.ConsoleEventSourceListener - OpenAI返回数据：{"id": "cmpl-6pIHnOOJiiUEVMesXwxzzcSQFoZHj", "object": "text_completion", "created": 1677683039, "choices": [{"text": "\u65f7", "index": 0, "logprobs": null, "finish_reason": null}], "model": "text-davinci-003"}
23:03:59.673 [省略无效信息] INFO com.unfbx.chatgpt.sse.ConsoleEventSourceListener - OpenAI返回数据：{"id": "cmpl-6pIHnOOJiiUEVMesXwxzzcSQFoZHj", "object": "text_completion", "created": 1677683039, "choices": [{"text": "\u795e", "index": 0, "logprobs": null, "finish_reason": null}], "model": "text-davinci-003"}
23:03:59.751 [省略无效信息] INFO com.unfbx.chatgpt.sse.ConsoleEventSourceListener - OpenAI返回数据：{"id": "cmpl-6pIHnOOJiiUEVMesXwxzzcSQFoZHj", "object": "text_completion", "created": 1677683039, "choices": [{"text": "\u6021", "index": 0, "logprobs": null, "finish_reason": null}], "model": "text-davinci-003"}
23:03:59.782 [省略无效信息] INFO com.unfbx.chatgpt.sse.ConsoleEventSourceListener - OpenAI返回数据：{"id": "cmpl-6pIHnOOJiiUEVMesXwxzzcSQFoZHj", "object": "text_completion", "created": 1677683039, "choices": [{"text": "\u3002", "index": 0, "logprobs": null, "finish_reason": null}], "model": "text-davinci-003"}
23:03:59.815 [省略无效信息] INFO com.unfbx.chatgpt.sse.ConsoleEventSourceListener - OpenAI返回数据：[DONE]
23:03:59.815 [省略无效信息] INFO com.unfbx.chatgpt.sse.ConsoleEventSourceListener - OpenAI返回数据结束了
23:03:59.815 [省略无效信息] INFO com.unfbx.chatgpt.sse.ConsoleEventSourceListener - OpenAI关闭sse连接...

3、默认客户端使用示例（支持全部API）：

更多SDK示例参考：OpenAiClientTest

默认OkHttpClient

public class Test {
    public static void main(String[] args) {
        OpenAiClient openAiClient = OpenAiClient.builder()
                .apiKey(Arrays.asList("sk-********","sk-********"))
                //自定义key的获取策略：默认KeyRandomStrategy
                //.keyStrategy(new KeyRandomStrategy())
                .keyStrategy(new FirstKeyStrategy())
                //自己做了代理就传代理地址，没有可不不传
//                .apiHost("https://自己代理的服务器地址/")
                .build();
                //聊天模型：gpt-3.5
        Message message = Message.builder().role(Message.Role.USER).content("你好啊我的伙伴！").build();
        ChatCompletion chatCompletion = ChatCompletion.builder().messages(Arrays.asList(message)).build();
        ChatCompletionResponse chatCompletionResponse = openAiClient.chatCompletion(chatCompletion);
        chatCompletionResponse.getChoices().forEach(e -> {
            System.out.println(e.getMessage());
        });
    }
}

自定义OkHttpClient客户端使用示例：

public class Test {
    public static void main(String[] args) {
        //国内访问需要做代理，国外服务器不需要
        Proxy proxy = new Proxy(Proxy.Type.HTTP, new InetSocketAddress("127.0.0.1", 7890));
        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)//自定义代理
                .addInterceptor(httpLoggingInterceptor)//自定义日志输出
                .addInterceptor(new OpenAiResponseInterceptor())//自定义返回值拦截
                .connectTimeout(10, TimeUnit.SECONDS)//自定义超时时间
                .writeTimeout(30, TimeUnit.SECONDS)//自定义超时时间
                .readTimeout(30, TimeUnit.SECONDS)//自定义超时时间
                .build();
        //构建客户端
        OpenAiClient openAiClient = OpenAiClient.builder()
                .apiKey(Arrays.asList("sk-********","sk-********"))
                //自定义key的获取策略：默认KeyRandomStrategy
                //.keyStrategy(new KeyRandomStrategy())
                .keyStrategy(new FirstKeyStrategy())
                .okHttpClient(okHttpClient)
                //自己做了代理就传代理地址，没有可不不传
//                .apiHost("https://自己代理的服务器地址/")
                .build();
                //聊天模型：gpt-3.5
        Message message = Message.builder().role(Message.Role.USER).content("你好啊我的伙伴！").build();
        ChatCompletion chatCompletion = ChatCompletion.builder().messages(Arrays.asList(message)).build();
        ChatCompletionResponse chatCompletionResponse = openAiClient.chatCompletion(chatCompletion);
        chatCompletionResponse.getChoices().forEach(e -> {
            System.out.println(e.getMessage());
        });
    }
}

方式二（下载源码直接运行）

下载源码打包

❔ QA

Q A
如何实现连续对话？ issues：Grt1228#8
如何实现流式输出？ 升级1.0.2版本，参考源码：OpenAiStreamClientTest
如何整合SpringBoot实现流式输出的Api接口？ 参考另外一个项目：chatgpt-steam-output
最新版GPT-3.5-TURBO是否支持？ 升级1.0.3 已经支持ChatCompletion, 参考测试案例：OpenAiStreamClientTest 和OpenAiStreamClientTest
最新版语言转文字和语言翻译是否支持？ 升级1.0.3 已经支持whisper参考测试案例：OpenAiStreamClientTest 和OpenAiStreamClientTest

📌 国内访问解决方案

国内访问可以看下这个解决方案：noobnooc/noobnooc#9

📋 开发案例收集

基于本SDK开发案例收集：chatgpt-java SDK案例征集

🌟 Star History

Star History Chart

🙏 鸣谢

站在巨人的肩膀：

☕ 打赏

如果项目对你有帮助，可以选择请我喝杯奶茶

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开源协议：LICENSE

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Contributors

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