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@lobehub/chat

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Lobe Chat - an open-source, high-performance chatbot framework that supports speech synthesis, multimodal, and extensible Function Call plugin system. Supports one-click free deployment of your private ChatGPT/LLM web application.

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import { ModelProvider } from '../types'; import { LobeOpenAICompatibleFactory } from '../utils/openaiCompatibleFactory'; import type { ChatModelCard } from '@/types/llm'; export interface SenseNovaModelCard { id: string; } export const LobeSenseNovaAI = LobeOpenAICompatibleFactory({ baseURL: 'https://api.sensenova.cn/compatible-mode/v1', chatCompletion: { handlePayload: (payload) => { const { frequency_penalty, temperature, top_p, ...rest } = payload; return { ...rest, frequency_penalty: frequency_penalty !== undefined && frequency_penalty > 0 && frequency_penalty <= 2 ? frequency_penalty : undefined, stream: true, temperature: temperature !== undefined && temperature > 0 && temperature <= 2 ? temperature : undefined, top_p: top_p !== undefined && top_p > 0 && top_p < 1 ? top_p : undefined, } as any; }, }, debug: { chatCompletion: () => process.env.DEBUG_SENSENOVA_CHAT_COMPLETION === '1', }, models: async ({ client }) => { const { LOBE_DEFAULT_MODEL_LIST } = await import('@/config/aiModels'); const functionCallKeywords = [ 'deepseek-v3', 'sensechat-5', ]; const reasoningKeywords = [ 'deepseek-r1' ]; client.baseURL = 'https://api.sensenova.cn/v1/llm'; const modelsPage = await client.models.list() as any; const modelList: SenseNovaModelCard[] = modelsPage.data; return modelList .map((model) => { const knownModel = LOBE_DEFAULT_MODEL_LIST.find((m) => model.id.toLowerCase() === m.id.toLowerCase()); return { contextWindowTokens: knownModel?.contextWindowTokens ?? undefined, displayName: knownModel?.displayName ?? undefined, enabled: knownModel?.enabled || false, functionCall: functionCallKeywords.some(keyword => model.id.toLowerCase().includes(keyword)) || knownModel?.abilities?.functionCall || false, id: model.id, reasoning: reasoningKeywords.some(keyword => model.id.toLowerCase().includes(keyword)) || knownModel?.abilities?.reasoning || false, vision: model.id.toLowerCase().includes('vision') || knownModel?.abilities?.vision || false, }; }) .filter(Boolean) as ChatModelCard[]; }, provider: ModelProvider.SenseNova, });