# -*- coding: utf8 -*- # Copyright (c) 2017-2021 THL A29 Limited, a Tencent company. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import json from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException from tencentcloud.common.abstract_client import AbstractClient from tencentcloud.hunyuan.v20230901 import models class HunyuanClient(AbstractClient): _apiVersion = '2023-09-01' _endpoint = 'hunyuan.tencentcloudapi.com' _service = 'hunyuan' def ActivateService(self, request): """开通服务 :param request: Request instance for ActivateService. :type request: :class:`tencentcloud.hunyuan.v20230901.models.ActivateServiceRequest` :rtype: :class:`tencentcloud.hunyuan.v20230901.models.ActivateServiceResponse` """ try: params = request._serialize() headers = request.headers body = self.call("ActivateService", params, headers=headers) response = json.loads(body) model = models.ActivateServiceResponse() model._deserialize(response["Response"]) return model except Exception as e: if isinstance(e, TencentCloudSDKException): raise else: raise TencentCloudSDKException(type(e).__name__, str(e)) def ChatCompletions(self, request): """如需使用OpenAI兼容接口, 请参考文档:[OpenAI 兼容接口](https://cloud.tencent.com/document/product/1729/111007) 腾讯混元大模型是由腾讯研发的大语言模型,具备强大的中文创作能力,复杂语境下的逻辑推理能力,以及可靠的任务执行能力。本接口支持流式或非流式调用,当使用流式调用时为 SSE 协议。 1. 本接口暂不支持返回图片内容。 2. 默认该接口下单账号限制并发数为 5 路,如您有提高并发限制的需求请 [购买](https://buy.cloud.tencent.com/hunyuan) 。 3. 请使用 SDK 调用本接口,每种开发语言的 SDK Git 仓库 examples/hunyuan/v20230901/ 目录下有提供示例供参考。SDK 链接在文档下方 “**开发者资源 - SDK**” 部分提供。 4. 我们推荐您使用 API Explorer,方便快速地在线调试接口和下载各语言的示例代码,[点击打开](https://console.cloud.tencent.com/api/explorer?Product=hunyuan&Version=2023-09-01&Action=ChatCompletions)。 :param request: Request instance for ChatCompletions. :type request: :class:`tencentcloud.hunyuan.v20230901.models.ChatCompletionsRequest` :rtype: :class:`tencentcloud.hunyuan.v20230901.models.ChatCompletionsResponse` """ try: params = request._serialize() return self._call_and_deserialize("ChatCompletions", params, models.ChatCompletionsResponse, headers=request.headers) except Exception as e: if isinstance(e, TencentCloudSDKException): raise else: raise TencentCloudSDKException(type(e).__name__, str(e)) def ChatTranslations(self, request): """腾讯混元大模型是由腾讯研发的大语言模型,具备强大的中文创作能力,复杂语境下的逻辑推理能力,以及可靠的任务执行能力。本接口支持流式或非流式调用,当使用流式调用时为 SSE 协议。 1. 本接口暂不支持返回图片内容。 2. 默认该接口下单账号限制并发数为 5 路,如您有提高并发限制的需求请 [购买](https://buy.cloud.tencent.com/hunyuan) 。 3. 请使用 SDK 调用本接口,每种开发语言的 SDK Git 仓库 examples/hunyuan/v20230901/ 目录下有提供示例供参考。SDK 链接在文档下方 “**开发者资源 - SDK**” 部分提供。 4. 我们推荐您使用 API Explorer,方便快速地在线调试接口和下载各语言的示例代码,[点击打开](https://console.cloud.tencent.com/api/explorer?Product=hunyuan&Version=2023-09-01&Action=ChatCompletions)。 :param request: Request instance for ChatTranslations. :type request: :class:`tencentcloud.hunyuan.v20230901.models.ChatTranslationsRequest` :rtype: :class:`tencentcloud.hunyuan.v20230901.models.ChatTranslationsResponse` """ try: params = request._serialize() return self._call_and_deserialize("ChatTranslations", params, models.ChatTranslationsResponse, headers=request.headers) except Exception as e: if isinstance(e, TencentCloudSDKException): raise else: raise TencentCloudSDKException(type(e).__name__, str(e)) def CreateThread(self, request): """腾讯混元大模型是由腾讯研发的大语言模型,具备强大的中文创作能力,复杂语境下的逻辑推理能力,以及可靠的任务执行能力。本接口支持流式或非流式调用,当使用流式调用时为 SSE 协议。 1. 本接口暂不支持返回图片内容。 2. 默认该接口下单账号限制并发数为 5 路,如您有提高并发限制的需求请 [购买](https://buy.cloud.tencent.com/hunyuan) 。 3. 请使用 SDK 调用本接口,每种开发语言的 SDK Git 仓库 examples/hunyuan/v20230901/ 目录下有提供示例供参考。SDK 链接在文档下方 “**开发者资源 - SDK**” 部分提供。 4. 我们推荐您使用 API Explorer,方便快速地在线调试接口和下载各语言的示例代码,[点击打开](https://console.cloud.tencent.com/api/explorer?Product=hunyuan&Version=2023-09-01&Action=ChatCompletions)。 :param request: Request instance for CreateThread. :type request: :class:`tencentcloud.hunyuan.v20230901.models.CreateThreadRequest` :rtype: :class:`tencentcloud.hunyuan.v20230901.models.CreateThreadResponse` """ try: params = request._serialize() return self._call_and_deserialize("CreateThread", params, models.CreateThreadResponse, headers=request.headers) except Exception as e: if isinstance(e, TencentCloudSDKException): raise else: raise TencentCloudSDKException(type(e).__name__, str(e)) def FilesDeletions(self, request): """删除文件。 :param request: Request instance for FilesDeletions. :type request: :class:`tencentcloud.hunyuan.v20230901.models.FilesDeletionsRequest` :rtype: :class:`tencentcloud.hunyuan.v20230901.models.FilesDeletionsResponse` """ try: params = request._serialize() return self._call_and_deserialize("FilesDeletions", params, models.FilesDeletionsResponse, headers=request.headers) except Exception as e: if isinstance(e, TencentCloudSDKException): raise else: raise TencentCloudSDKException(type(e).__name__, str(e)) def FilesList(self, request): """文件列表。 :param request: Request instance for FilesList. :type request: :class:`tencentcloud.hunyuan.v20230901.models.FilesListRequest` :rtype: :class:`tencentcloud.hunyuan.v20230901.models.FilesListResponse` """ try: params = request._serialize() return self._call_and_deserialize("FilesList", params, models.FilesListResponse, headers=request.headers) except Exception as e: if isinstance(e, TencentCloudSDKException): raise else: raise TencentCloudSDKException(type(e).__name__, str(e)) def FilesUploads(self, request): """上传用于不同用途的文件。 当前用途仅支持 hunyuan 等模型的文档理解。 :param request: Request instance for FilesUploads. :type request: :class:`tencentcloud.hunyuan.v20230901.models.FilesUploadsRequest` :rtype: :class:`tencentcloud.hunyuan.v20230901.models.FilesUploadsResponse` """ try: params = request._serialize() return self._call_and_deserialize("FilesUploads", params, models.FilesUploadsResponse, headers=request.headers) except Exception as e: if isinstance(e, TencentCloudSDKException): raise else: raise TencentCloudSDKException(type(e).__name__, str(e)) def GetEmbedding(self, request): """腾讯混元 Embedding 接口,可以将文本转化为高质量的向量数据。向量维度为1024维。 :param request: Request instance for GetEmbedding. :type request: :class:`tencentcloud.hunyuan.v20230901.models.GetEmbeddingRequest` :rtype: :class:`tencentcloud.hunyuan.v20230901.models.GetEmbeddingResponse` """ try: params = request._serialize() headers = request.headers body = self.call("GetEmbedding", params, headers=headers) response = json.loads(body) model = models.GetEmbeddingResponse() model._deserialize(response["Response"]) return model except Exception as e: if isinstance(e, TencentCloudSDKException): raise else: raise TencentCloudSDKException(type(e).__name__, str(e)) def GetThread(self, request): """腾讯混元大模型是由腾讯研发的大语言模型,具备强大的中文创作能力,复杂语境下的逻辑推理能力,以及可靠的任务执行能力。本接口支持流式或非流式调用,当使用流式调用时为 SSE 协议。 1. 本接口暂不支持返回图片内容。 2. 默认该接口下单账号限制并发数为 5 路,如您有提高并发限制的需求请 [购买](https://buy.cloud.tencent.com/hunyuan) 。 3. 请使用 SDK 调用本接口,每种开发语言的 SDK Git 仓库 examples/hunyuan/v20230901/ 目录下有提供示例供参考。SDK 链接在文档下方 “**开发者资源 - SDK**” 部分提供。 4. 我们推荐您使用 API Explorer,方便快速地在线调试接口和下载各语言的示例代码,[点击打开](https://console.cloud.tencent.com/api/explorer?Product=hunyuan&Version=2023-09-01&Action=ChatCompletions)。 :param request: Request instance for GetThread. :type request: :class:`tencentcloud.hunyuan.v20230901.models.GetThreadRequest` :rtype: :class:`tencentcloud.hunyuan.v20230901.models.GetThreadResponse` """ try: params = request._serialize() return self._call_and_deserialize("GetThread", params, models.GetThreadResponse, headers=request.headers) except Exception as e: if isinstance(e, TencentCloudSDKException): raise else: raise TencentCloudSDKException(type(e).__name__, str(e)) def GetThreadMessage(self, request): """腾讯混元大模型是由腾讯研发的大语言模型,具备强大的中文创作能力,复杂语境下的逻辑推理能力,以及可靠的任务执行能力。本接口支持流式或非流式调用,当使用流式调用时为 SSE 协议。 1. 本接口暂不支持返回图片内容。 2. 默认该接口下单账号限制并发数为 5 路,如您有提高并发限制的需求请 [购买](https://buy.cloud.tencent.com/hunyuan) 。 3. 请使用 SDK 调用本接口,每种开发语言的 SDK Git 仓库 examples/hunyuan/v20230901/ 目录下有提供示例供参考。SDK 链接在文档下方 “**开发者资源 - SDK**” 部分提供。 4. 我们推荐您使用 API Explorer,方便快速地在线调试接口和下载各语言的示例代码,[点击打开](https://console.cloud.tencent.com/api/explorer?Product=hunyuan&Version=2023-09-01&Action=ChatCompletions)。 :param request: Request instance for GetThreadMessage. :type request: :class:`tencentcloud.hunyuan.v20230901.models.GetThreadMessageRequest` :rtype: :class:`tencentcloud.hunyuan.v20230901.models.GetThreadMessageResponse` """ try: params = request._serialize() return self._call_and_deserialize("GetThreadMessage", params, models.GetThreadMessageResponse, headers=request.headers) except Exception as e: if isinstance(e, TencentCloudSDKException): raise else: raise TencentCloudSDKException(type(e).__name__, str(e)) def GetThreadMessageList(self, request): """腾讯混元大模型是由腾讯研发的大语言模型,具备强大的中文创作能力,复杂语境下的逻辑推理能力,以及可靠的任务执行能力。本接口支持流式或非流式调用,当使用流式调用时为 SSE 协议。 1. 本接口暂不支持返回图片内容。 2. 默认该接口下单账号限制并发数为 5 路,如您有提高并发限制的需求请 [购买](https://buy.cloud.tencent.com/hunyuan) 。 3. 请使用 SDK 调用本接口,每种开发语言的 SDK Git 仓库 examples/hunyuan/v20230901/ 目录下有提供示例供参考。SDK 链接在文档下方 “**开发者资源 - SDK**” 部分提供。 4. 我们推荐您使用 API Explorer,方便快速地在线调试接口和下载各语言的示例代码,[点击打开](https://console.cloud.tencent.com/api/explorer?Product=hunyuan&Version=2023-09-01&Action=ChatCompletions)。 :param request: Request instance for GetThreadMessageList. :type request: :class:`tencentcloud.hunyuan.v20230901.models.GetThreadMessageListRequest` :rtype: :class:`tencentcloud.hunyuan.v20230901.models.GetThreadMessageListResponse` """ try: params = request._serialize() return self._call_and_deserialize("GetThreadMessageList", params, models.GetThreadMessageListResponse, headers=request.headers) except Exception as e: if isinstance(e, TencentCloudSDKException): raise else: raise TencentCloudSDKException(type(e).__name__, str(e)) def GetTokenCount(self, request): """该接口用于计算文本对应Token数、字符数。 :param request: Request instance for GetTokenCount. :type request: :class:`tencentcloud.hunyuan.v20230901.models.GetTokenCountRequest` :rtype: :class:`tencentcloud.hunyuan.v20230901.models.GetTokenCountResponse` """ try: params = request._serialize() headers = request.headers body = self.call("GetTokenCount", params, headers=headers) response = json.loads(body) model = models.GetTokenCountResponse() model._deserialize(response["Response"]) return model except Exception as e: if isinstance(e, TencentCloudSDKException): raise else: raise TencentCloudSDKException(type(e).__name__, str(e)) def QueryHunyuanImageChatJob(self, request): """混元生图(多轮对话)接口基于混元大模型,将根据输入的文本描述生成图像,支持通过多轮对话的方式不断调整图像内容。分为提交任务和查询任务2个接口。 提交任务:输入文本和前置对话 ID 等,提交一个混元生图多轮对话异步任务,获得任务 ID。 查询任务:根据任务 ID 查询任务的处理状态、处理结果,任务处理完成后可获得在上一轮对话基础上继续生成的图像结果。 混元生图(多轮对话)默认提供1个并发任务数,代表最多能同时处理1个已提交的任务,上一个任务处理完毕后才能开始处理下一个任务。 :param request: Request instance for QueryHunyuanImageChatJob. :type request: :class:`tencentcloud.hunyuan.v20230901.models.QueryHunyuanImageChatJobRequest` :rtype: :class:`tencentcloud.hunyuan.v20230901.models.QueryHunyuanImageChatJobResponse` """ try: params = request._serialize() headers = request.headers body = self.call("QueryHunyuanImageChatJob", params, headers=headers) response = json.loads(body) model = models.QueryHunyuanImageChatJobResponse() model._deserialize(response["Response"]) return model except Exception as e: if isinstance(e, TencentCloudSDKException): raise else: raise TencentCloudSDKException(type(e).__name__, str(e)) def QueryHunyuanImageJob(self, request): """混元生图接口基于混元大模型,将根据输入的文本描述,智能生成与之相关的结果图。分为提交任务和查询任务2个接口。 提交任务:输入文本等,提交一个混元生图异步任务,获得任务 ID。 查询任务:根据任务 ID 查询任务的处理状态、处理结果,任务处理完成后可获得生成图像结果。 并发任务数(并发)说明:并发任务数指能同时处理的任务数量。混元生图默认提供1个并发任务数,代表最多能同时处理1个已提交的任务,上一个任务处理完毕后才能开始处理下一个任务。 :param request: Request instance for QueryHunyuanImageJob. :type request: :class:`tencentcloud.hunyuan.v20230901.models.QueryHunyuanImageJobRequest` :rtype: :class:`tencentcloud.hunyuan.v20230901.models.QueryHunyuanImageJobResponse` """ try: params = request._serialize() headers = request.headers body = self.call("QueryHunyuanImageJob", params, headers=headers) response = json.loads(body) model = models.QueryHunyuanImageJobResponse() model._deserialize(response["Response"]) return model except Exception as e: if isinstance(e, TencentCloudSDKException): raise else: raise TencentCloudSDKException(type(e).__name__, str(e)) def RunThread(self, request): """腾讯混元大模型是由腾讯研发的大语言模型,具备强大的中文创作能力,复杂语境下的逻辑推理能力,以及可靠的任务执行能力。本接口支持流式或非流式调用,当使用流式调用时为 SSE 协议。 1. 本接口暂不支持返回图片内容。 2. 默认该接口下单账号限制并发数为 5 路,如您有提高并发限制的需求请 [购买](https://buy.cloud.tencent.com/hunyuan) 。 3. 请使用 SDK 调用本接口,每种开发语言的 SDK Git 仓库 examples/hunyuan/v20230901/ 目录下有提供示例供参考。SDK 链接在文档下方 “**开发者资源 - SDK**” 部分提供。 4. 我们推荐您使用 API Explorer,方便快速地在线调试接口和下载各语言的示例代码,[点击打开](https://console.cloud.tencent.com/api/explorer?Product=hunyuan&Version=2023-09-01&Action=ChatCompletions)。 :param request: Request instance for RunThread. :type request: :class:`tencentcloud.hunyuan.v20230901.models.RunThreadRequest` :rtype: :class:`tencentcloud.hunyuan.v20230901.models.RunThreadResponse` """ try: params = request._serialize() return self._call_and_deserialize("RunThread", params, models.RunThreadResponse, headers=request.headers) except Exception as e: if isinstance(e, TencentCloudSDKException): raise else: raise TencentCloudSDKException(type(e).__name__, str(e)) def SetPayMode(self, request): """设置付费模式 :param request: Request instance for SetPayMode. :type request: :class:`tencentcloud.hunyuan.v20230901.models.SetPayModeRequest` :rtype: :class:`tencentcloud.hunyuan.v20230901.models.SetPayModeResponse` """ try: params = request._serialize() headers = request.headers body = self.call("SetPayMode", params, headers=headers) response = json.loads(body) model = models.SetPayModeResponse() model._deserialize(response["Response"]) return model except Exception as e: if isinstance(e, TencentCloudSDKException): raise else: raise TencentCloudSDKException(type(e).__name__, str(e)) def SubmitHunyuanImageChatJob(self, request): """混元生图(多轮对话)接口基于混元大模型,将根据输入的文本描述生成图像,支持通过多轮对话的方式不断调整图像内容。分为提交任务和查询任务2个接口。 提交任务:输入文本和前置对话 ID 等,提交一个混元生图多轮对话异步任务,获得任务 ID。 查询任务:根据任务 ID 查询任务的处理状态、处理结果,任务处理完成后可获得在上一轮对话基础上继续生成的图像结果。 混元生图(多轮对话)默认提供1个并发任务数,代表最多能同时处理1个已提交的任务,上一个任务处理完毕后才能开始处理下一个任务。 :param request: Request instance for SubmitHunyuanImageChatJob. :type request: :class:`tencentcloud.hunyuan.v20230901.models.SubmitHunyuanImageChatJobRequest` :rtype: :class:`tencentcloud.hunyuan.v20230901.models.SubmitHunyuanImageChatJobResponse` """ try: params = request._serialize() headers = request.headers body = self.call("SubmitHunyuanImageChatJob", params, headers=headers) response = json.loads(body) model = models.SubmitHunyuanImageChatJobResponse() model._deserialize(response["Response"]) return model except Exception as e: if isinstance(e, TencentCloudSDKException): raise else: raise TencentCloudSDKException(type(e).__name__, str(e)) def SubmitHunyuanImageJob(self, request): """混元生图接口基于混元大模型,将根据输入的文本描述,智能生成与之相关的结果图。分为提交任务和查询任务2个接口。 提交任务:输入文本等,提交一个混元生图异步任务,获得任务 ID。 查询任务:根据任务 ID 查询任务的处理状态、处理结果,任务处理完成后可获得生成图像结果。 并发任务数(并发)说明:并发任务数指能同时处理的任务数量。混元生图默认提供1个并发任务数,代表最多能同时处理1个已提交的任务,上一个任务处理完毕后才能开始处理下一个任务。 :param request: Request instance for SubmitHunyuanImageJob. :type request: :class:`tencentcloud.hunyuan.v20230901.models.SubmitHunyuanImageJobRequest` :rtype: :class:`tencentcloud.hunyuan.v20230901.models.SubmitHunyuanImageJobResponse` """ try: params = request._serialize() headers = request.headers body = self.call("SubmitHunyuanImageJob", params, headers=headers) response = json.loads(body) model = models.SubmitHunyuanImageJobResponse() model._deserialize(response["Response"]) return model except Exception as e: if isinstance(e, TencentCloudSDKException): raise else: raise TencentCloudSDKException(type(e).__name__, str(e)) def TextToImageLite(self, request): """文生图轻量版接口根据输入的文本描述,智能生成与之相关的结果图。 文生图轻量版默认提供3个并发任务数,代表最多能同时处理3个已提交的任务,上一个任务处理完毕后才能开始处理下一个任务。 :param request: Request instance for TextToImageLite. :type request: :class:`tencentcloud.hunyuan.v20230901.models.TextToImageLiteRequest` :rtype: :class:`tencentcloud.hunyuan.v20230901.models.TextToImageLiteResponse` """ try: params = request._serialize() headers = request.headers body = self.call("TextToImageLite", params, headers=headers) response = json.loads(body) model = models.TextToImageLiteResponse() model._deserialize(response["Response"]) return model except Exception as e: if isinstance(e, TencentCloudSDKException): raise else: raise TencentCloudSDKException(type(e).__name__, str(e))
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