@lobehub/chat
Version:
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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text/typescript
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,
});