✨ feat: support tencent cloud

src/config/aiModels/index.ts

@@ -33,6 +33,7 @@ import { default as siliconcloud } from './siliconcloud';
 import { default as spark } from './spark';
 import { default as stepfun } from './stepfun';
 import { default as taichu } from './taichu';
+import { default as tencentcloud } from './tencentcloud';
 import { default as togetherai } from './togetherai';
 import { default as upstage } from './upstage';
 import { default as wenxin } from './wenxin';
@@ -93,6 +94,7 @@ export const LOBE_DEFAULT_MODEL_LIST = buildDefaultModelList({
   spark,
   stepfun,
   taichu,
+  tencentcloud,
   togetherai,
   upstage,
   wenxin,
@@ -134,6 +136,7 @@ export { default as siliconcloud } from './siliconcloud';
 export { default as spark } from './spark';
 export { default as stepfun } from './stepfun';
 export { default as taichu } from './taichu';
+export { default as tencentcloud } from './tencentcloud';
 export { default as togetherai } from './togetherai';
 export { default as upstage } from './upstage';
 export { default as wenxin } from './wenxin';

src/config/aiModels/tencentcloud.ts

@@ -0,0 +1,43 @@
+import { AIChatModelCard } from '@/types/aiModel';
+
+const tencentCloudChatModels: AIChatModelCard[] = [
+  {
+    abilities: {
+      reasoning: true,
+    },
+    contextWindowTokens: 65_536,
+    description:
+      'DeepSeek-R1 是一款强化学习（RL）驱动的推理模型，解决了模型中的重复性和可读性问题。在 RL 之前，DeepSeek-R1 引入了冷启动数据，进一步优化了推理性能。它在数学、代码和推理任务中与 OpenAI-o1 表现相当，并且通过精心设计的训练方法，提升了整体效果。',
+    displayName: 'DeepSeek R1',
+    enabled: true,
+    id: 'deepseek-r1',
+    maxOutput: 8192,
+    pricing: {
+      currency: 'CNY',
+      input: 4,
+      output: 16,
+    },
+    type: 'chat',
+  },
+  {
+    abilities: {
+      functionCall: true,
+    },
+    contextWindowTokens: 65_536,
+    description:
+      'DeepSeek-V3 是一款拥有 6710 亿参数的混合专家（MoE）语言模型，采用多头潜在注意力（MLA）和 DeepSeekMoE 架构，结合无辅助损失的负载平衡策略，优化推理和训练效率。通过在 14.8 万亿高质量tokens上预训练，并进行监督微调和强化学习，DeepSeek-V3 在性能上超越其他开源模型，接近领先闭源模型。',
+    displayName: 'DeepSeek V3',
+    enabled: true,
+    id: 'deepseek-v3',
+    pricing: {
+      currency: 'CNY',
+      input: 2,
+      output: 8,
+    },
+    type: 'chat',
+  },
+];
+
+export const allModels = [...tencentCloudChatModels];
+
+export default allModels;

src/config/modelProviders/index.ts

@@ -33,6 +33,7 @@ import SiliconCloudProvider from './siliconcloud';
 import SparkProvider from './spark';
 import StepfunProvider from './stepfun';
 import TaichuProvider from './taichu';
+import TencentcloudProvider from './tencentcloud';
 import TogetherAIProvider from './togetherai';
 import UpstageProvider from './upstage';
 import WenxinProvider from './wenxin';
@@ -105,6 +106,7 @@ export const DEFAULT_MODEL_PROVIDER_LIST = [
   XAIProvider,
   QwenProvider,
   WenxinProvider,
+  TencentcloudProvider,
   HunyuanProvider,
   ZhiPuProvider,
   SiliconCloudProvider,
@@ -166,6 +168,7 @@ export { default as SiliconCloudProviderCard } from './siliconcloud';
 export { default as SparkProviderCard } from './spark';
 export { default as StepfunProviderCard } from './stepfun';
 export { default as TaichuProviderCard } from './taichu';
+export { default as TencentCloudProviderCard } from './tencentcloud';
 export { default as TogetherAIProviderCard } from './togetherai';
 export { default as UpstageProviderCard } from './upstage';
 export { default as WenxinProviderCard } from './wenxin';

src/config/modelProviders/tencentcloud.ts

@@ -0,0 +1,19 @@
+import { ModelProviderCard } from '@/types/llm';
+
+const TencentCloud: ModelProviderCard = {
+  chatModels: [],
+  checkModel: 'deepseek-v3',
+  description:
+    '知识引擎原子能力（LLM Knowledge Engine Atomic Power）基于知识引擎研发的知识问答全链路能力，面向企业及开发者，提供灵活组建及开发模型应用的能力。您可通过多款原子能力组建您专属的模型服务，调用文档解析、拆分、embedding、多轮改写等服务进行组装，定制企业专属 AI 业务。',
+  id: 'tencentcloud',
+  modelsUrl: 'https://cloud.tencent.com/document/api/1772/115963',
+  name: 'TencentCloud',
+  settings: {
+    disableBrowserRequest: true,
+    sdkType: 'openai',
+    showModelFetcher: true,
+  },
+  url: 'https://cloud.tencent.com/document/api/1772/115365',
+};
+
+export default TencentCloud;

src/libs/agent-runtime/AgentRuntime.ts

@@ -36,6 +36,7 @@ import { LobeSiliconCloudAI } from './siliconcloud';
 import { LobeSparkAI } from './spark';
 import { LobeStepfunAI } from './stepfun';
 import { LobeTaichuAI } from './taichu';
+import { LobeTencentCloudAI } from './tencentcloud';
 import { LobeTogetherAI } from './togetherai';
 import {
   ChatCompetitionOptions,
@@ -166,6 +167,7 @@ class AgentRuntime {
       spark: Partial<ClientOptions>;
       stepfun: Partial<ClientOptions>;
       taichu: Partial<ClientOptions>;
+      tencentcloud: Partial<ClientOptions>;
       togetherai: Partial<ClientOptions>;
       upstage: Partial<ClientOptions>;
       wenxin: Partial<ClientOptions>;
@@ -368,6 +370,11 @@ class AgentRuntime {
         break;
       }
 
+      case ModelProvider.TencentCloud: {
+        runtimeModel = new LobeTencentCloudAI(params[provider]);
+        break;
+      }
+
       case ModelProvider.Doubao: {
         runtimeModel = new LobeDoubaoAI(params.doubao);
         break;

src/libs/agent-runtime/tencentcloud/index.test.ts

@@ -0,0 +1,13 @@
+// @vitest-environment node
+import { ModelProvider } from '@/libs/agent-runtime';
+
+import { testProvider } from '../providerTestUtils';
+import { LobeTencentCloudAI } from './index';
+
+testProvider({
+  Runtime: LobeTencentCloudAI,
+  provider: ModelProvider.TencentCloud,
+  defaultBaseURL: 'https://api.lkeap.cloud.tencent.com/v1',
+  chatDebugEnv: 'DEBUG_TENCENT_CLOUD_CHAT_COMPLETION',
+  chatModel: 'DeepSeek-R1',
+});

src/libs/agent-runtime/tencentcloud/index.ts

@@ -0,0 +1,10 @@
+import { ModelProvider } from '../types';
+import { LobeOpenAICompatibleFactory } from '../utils/openaiCompatibleFactory';
+
+export const LobeTencentCloudAI = LobeOpenAICompatibleFactory({
+  baseURL: 'https://api.lkeap.cloud.tencent.com/v1',
+  debug: {
+    chatCompletion: () => process.env.DEBUG_TENCENT_CLOUD_CHAT_COMPLETION === '1',
+  },
+  provider: ModelProvider.TencentCloud,
+});

src/libs/agent-runtime/types/type.ts

@@ -55,6 +55,7 @@ export enum ModelProvider {
   Spark = 'spark',
   Stepfun = 'stepfun',
   Taichu = 'taichu',
+  TencentCloud = 'tencentcloud',
   TogetherAI = 'togetherai',
   Upstage = 'upstage',
   Wenxin = 'wenxin',

src/types/user/settings/keyVaults.ts

@@ -61,6 +61,7 @@ export interface UserKeyVaults {
   spark?: OpenAICompatibleKeyVault;
   stepfun?: OpenAICompatibleKeyVault;
   taichu?: OpenAICompatibleKeyVault;
+  tencentcloud?: OpenAICompatibleKeyVault;
   togetherai?: OpenAICompatibleKeyVault;
   upstage?: OpenAICompatibleKeyVault;
   wenxin?: OpenAICompatibleKeyVault;