base on ChatGPT Java SDK支持流式输出、Gpt插件、联网。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 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！** > 文档地址：https://chatgpt-java.unfbx.com/ > 星火大模型Java SDK: https://github.com/Grt1228/SparkDesk-Java To English Doc -> [English Doc](README_EN.md) ### 💬 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<br/>项目产品开发交流 | 群失效关注公众号恢复：chatgpt-java | ---|--- <img src="https://user-images.githubusercontent.com/27008803/225246389-7b452214-f3fe-4a70-bd3e-832a0ed34288.jpg" width="210" height="300" alt="二维码" /> | <img src="https://g-photo.oss-cn-shanghai.aliyuncs.com/hd15.jpg" width="210" height="210" alt="二维码" /> | <!--<img src="https://user-images.githubusercontent.com/27008803/225246581-15e90f78-5438-4637-8e7d-14c68ca13b59.jpg" width="210" height="300" alt="二维码" />--> - [📖 项目简介](#-项目简介) - [🚩 特性](#-特性) - [📑 更新日志](#-更新日志) - [🚀 快速开始](#-快速开始) - [方式一](#方式一) - [1、导入pom依赖](#1导入pom依赖) - [2、流式客户端使用示例：](#2流式客户端使用示例) - [默认OkHttpClient](#默认okhttpclient) - [自定义OkHttpClient客户端使用示例：](#自定义okhttpclient客户端使用示例) - [3、默认客户端使用示例（支持全部API）：](#3默认客户端使用示例支持全部api) - [默认OkHttpClient](#默认okhttpclient-1) - [自定义OkHttpClient客户端使用示例：](#自定义okhttpclient客户端使用示例-1) - [方式二（下载源码直接运行）](#方式二下载源码直接运行) - [❔ QA](#-qa) - [📌 国内访问解决方案](#-国内访问解决方案) - [📋 开发案例收集](#-开发案例收集) - [🌟 Star History](#-star-history) - [🙏 鸣谢](#-鸣谢) - [☕ 打赏](#-打赏) # 📖 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](https://github.com/Grt1228/chatgpt-java/blob/main/Tokens_README.md)**。 | Assistant | Dall-e-3 | FineTuneJob | TTS | ChatCompletionWithPicture | | --- | --- | --- | --- | --- | | 自定义知识库、AI助理 | AI生成图片 | 微调job | 文本转语音 | 附加图片的ChatCompletion | | 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](https://github.com/Grt1228/chatgpt-steam-output/blob/main/src/main/java/com/unfbx/chatgptsteamoutput/listener/OpenAISSEEventSourceListener.java) | 不支持| 支持| 支持 | 支持 WebSocket参考：[OpenAIWebSocketEventSourceListener](https://github.com/Grt1228/chatgpt-steam-output/blob/main/src/main/java/com/unfbx/chatgptsteamoutput/listener/OpenAIWebSocketEventSourceListener.java) | 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 - 支持附加图片的ChatCompletion、指定返回数据格式、Tool Call、Dall-e-3生成图片、FineTuneJob、文本转语音TTS。 - 支持GPT插件模式 参考实现[PluginTest](https://github.com/Grt1228/chatgpt-java/blob/develop/src/test/java/com/unfbx/chatgpt/PluginTest.java) - 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](https://github.com/Grt1228/chatgpt-java/blob/main/src/main/java/com/unfbx/chatgpt/interceptor/DynamicKeyOpenAiAuthInterceptor.java) - 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](https://github.com/Grt1228/chatgpt-java/blob/main/src/main/java/com/unfbx/chatgpt/interceptor/DynamicKeyOpenAiAuthInterceptor.java) - 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、GPT3.5—0614、GPT4.0—0614... - 支持全部OpenAI的Api # 📑 更新日志 - [x] 1.1.6 ChatCompletion接口支持logprobs参数设置，Assistant相关接口支持流式输出 - [x] 1.1.5 Bug Fix - [x] 1.1.3 支持Assistant、Run、Thread、Message Api。测试案例[OpenAiClientTest](https://github.com/Grt1228/chatgpt-java/blob/develop/src/test/java/com/unfbx/chatgpt/v1_1_3/OpenAiClientTest.java) - [x] 1.1.2-beta0 支持附加图片的ChatCompletion、指定返回数据格式、Tool Call、Dall-e-3生成图片、FineTuneJob、文本转语音TTS。官方文档示例：[chatgpt-java.unfbx.com](https://chatgpt-java.unfbx.com/docs/category/-%E6%A0%B8%E5%BF%83%E5%8A%9F%E8%83%BD) 。测试案例[OpenAiClientTest](https://github.com/Grt1228/chatgpt-java/blob/develop/src/test/java/com/unfbx/chatgpt/v1_1_2/OpenAiClientTest.java) - [x] 1.1.1-beta0 function call改成GPT插件模式调用更加简单的调用方式.参考实现[PluginTest](https://github.com/Grt1228/chatgpt-java/blob/develop/src/test/java/com/unfbx/chatgpt/PluginTest.java) - [x] 1.0.15 moderations接口更新，代码优化，序列化修复。 - [x] 1.0.14 升级支持最新版Gpt-3.5—0614、Gpt-4.0—0614等模型, 支持function-calling完整使用案例参考：[OpenAiClientFunctionTest](https://github.com/Grt1228/chatgpt-java/blob/1.0.14/src/test/java/com/unfbx/chatgpt/OpenAiClientFunctionTest.java) - [x] 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](https://github.com/Grt1228/chatgpt-java/blob/main/src/main/java/com/unfbx/chatgpt/interceptor/DynamicKeyOpenAiAuthInterceptor.java) ，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） - [x] 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 - [x] 1.0.11 增加新的余额查询接口参考：[OpenAiClientTest](https://github.com/Grt1228/chatgpt-java/blob/main/src/test/java/com/unfbx/chatgpt/OpenAiClientTest.java) 和[OpenAiStreamClientTest](https://github.com/Grt1228/chatgpt-java/blob/main/src/test/java/com/unfbx/chatgpt/OpenAiStreamClientTest.java) ,修复tokens计算慢的问题， - [x] 1.0.10 支持tokens计算：[TikTokensTest](https://github.com/Grt1228/chatgpt-java/blob/main/src/test/java/com/unfbx/chatgpt/TikTokensTest.java) ，更多详细的资料参考文档：[Tokens_README.md](https://github.com/Grt1228/chatgpt-java/blob/main/Tokens_README.md) - [x] 1.0.9 支持自定义key使用策略参考：[OpenAiClientTest](https://github.com/Grt1228/chatgpt-java/blob/main/src/test/java/com/unfbx/chatgpt/OpenAiClientTest.java) 和[OpenAiStreamClientTest](https://github.com/Grt1228/chatgpt-java/blob/main/src/test/java/com/unfbx/chatgpt/OpenAiStreamClientTest.java) ，弃用ChatGPTClient，优化Moderation接口 - [x] 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。 - [x] 1.0.7 修复反序列化报错Bug：https://github.com/Grt1228/chatgpt-java/issues/79 ，Image SDK枚举值bug：https://github.com/Grt1228/chatgpt-java/issues/76 ，感谢两位朋友指出：[@CCc3120](https://github.com/CCc3120) 、[@seven-cm](https://github.com/seven-cm) - [x] 1.0.6 支持余额查询参考：[OpenAiClientTest](https://github.com/Grt1228/chatgpt-java/blob/main/src/test/java/com/unfbx/chatgpt/OpenAiClientTest.java) 和[OpenAiStreamClientTest](https://github.com/Grt1228/chatgpt-java/blob/main/src/test/java/com/unfbx/chatgpt/OpenAiStreamClientTest.java) creditGrants方法,支持最新GPT-4模型，参考：[ChatCompletion.Model](https://github.com/Grt1228/chatgpt-java/blob/main/src/main/java/com/unfbx/chatgpt/entity/chat/ChatCompletion.java/)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](https://github.com/PlexPt) 提供的模型参数 - [x] 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。 - [x] 1.0.4 官方最新的ChatGPT Stream模式下的Api返回值改动。 - [x] 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。 - [x] 1.0.2 支持Stream流式输出，参考：OpenAiStreamClient - [x] 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 - [x] 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计算测试案例 | 完整Function-Call调用案例 ---| --- | --- [OpenAiClientTest](https://github.com/Grt1228/chatgpt-java/blob/main/src/test/java/com/unfbx/chatgpt/OpenAiClientTest.java) 和[OpenAiStreamClientTest](https://github.com/Grt1228/chatgpt-java/blob/main/src/test/java/com/unfbx/chatgpt/OpenAiStreamClientTest.java) | Tokens计算参考：[TikTokensTest](https://github.com/Grt1228/chatgpt-java/blob/main/src/test/java/com/unfbx/chatgpt/TikTokensTest.java) | [OpenAiClientFunctionTest](https://github.com/Grt1228/chatgpt-java/blob/main/src/test/java/com/unfbx/chatgpt/OpenAiClientFunctionTest.java) ## 方式一 ### 1、导入pom依赖 ``` <dependency> <groupId>com.unfbx</groupId> <artifactId>chatgpt-java</artifactId> <version>1.0.14-beta1</version> </dependency> ``` ### 2、流式客户端使用示例： 更多SDK示例参考：[OpenAiStreamClientTest](https://github.com/Grt1228/chatgpt-java/blob/main/src/test/java/com/unfbx/chatgpt/OpenAiStreamClientTest.java) #### 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](https://github.com/Grt1228/chatgpt-java/blob/main/src/test/java/com/unfbx/chatgpt/OpenAiClientTest.java) #### 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：https://github.com/Grt1228/chatgpt-java/issues/8 如何实现流式输出？ | 升级1.0.2版本，参考源码：[OpenAiStreamClientTest](https://github.com/Grt1228/chatgpt-java/blob/main/src/test/java/com/unfbx/chatgpt/OpenAiStreamClientTest.java/) 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](https://github.com/Grt1228/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](https://github.com/Grt1228/chatgpt-java/blob/main/src/test/java/com/unfbx/chatgpt/OpenAiStreamClientTest.java/) 和[OpenAiStreamClientTest](https://github.com/Grt1228/chatgpt-java/blob/main/src/test/java/com/unfbx/chatgpt/OpenAiClientTest.java/) 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](https://github.com/Grt1228/chatgpt-java/blob/main/src/test/java/com/unfbx/chatgpt/OpenAiStreamClientTest.java/) 和[OpenAiStreamClientTest](https://github.com/Grt1228/chatgpt-java/blob/main/src/test/java/com/unfbx/chatgpt/OpenAiClientTest.java/) # 📌 国内访问解决方案 国内访问可以看下这个解决方案：**https://github.com/noobnooc/noobnooc/discussions/9** # 📋 开发案例收集 **基于本SDK开发案例收集**：[chatgpt-java SDK案例征集](https://github.com/Grt1228/chatgpt-java/issues/87) # 🌟 Star History [](https://star-history.com/#Grt1228/chatgpt-java&Date) # 🙏 鸣谢 站在巨人的肩膀： - OpenAi：https://openai.com/ - [knuddelsgmbh](https://github.com/knuddelsgmbh) 的[jtokkit](https://github.com/knuddelsgmbh/jtokkit) 的开源计算算法。 # ☕ 打赏 如果项目对你有帮助，可以选择请我喝杯奶茶 <img width="180" alt="微信截图_20230405222411" src="https://user-images.githubusercontent.com/27008803/230111508-3179cf30-e128-4b2e-9645-157266c491ce.png"> <img width="164" alt="微信截图_20230405222357" src="https://user-images.githubusercontent.com/27008803/230111525-322f5036-d06d-46bb-94d1-db8ce9ed2adf.png"> 开源协议：[LICENSE](https://github.com/Grt1228/chatgpt-java/blob/main/LICENSE) ", Assign "at most 3 tags" to the expected json: {"id":"4791","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"