UNPKG

@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.

98 lines (89 loc) 3.32 kB
import type { ChatModelCard } from '@/types/llm'; import { ModelProvider } from '../types'; import { LobeOpenAICompatibleFactory } from '../utils/openaiCompatibleFactory'; import { OpenRouterModelCard, OpenRouterModelExtraInfo } from './type'; const formatPrice = (price: string) => { if (price === '-1') return undefined; return Number((Number(price) * 1e6).toPrecision(5)); }; export const LobeOpenRouterAI = LobeOpenAICompatibleFactory({ baseURL: 'https://openrouter.ai/api/v1', chatCompletion: { handlePayload: (payload) => { return { ...payload, include_reasoning: true, model: payload.enabledSearch ? `${payload.model}:online` : payload.model, stream: payload.stream ?? true, } as any; }, }, constructorOptions: { defaultHeaders: { 'HTTP-Referer': 'https://chat-preview.lobehub.com', 'X-Title': 'Lobe Chat', }, }, debug: { chatCompletion: () => process.env.DEBUG_OPENROUTER_CHAT_COMPLETION === '1', }, models: async ({ client }) => { const { LOBE_DEFAULT_MODEL_LIST } = await import('@/config/aiModels'); const reasoningKeywords = [ 'deepseek/deepseek-r1', 'openai/o1', 'openai/o3', 'qwen/qvq', 'qwen/qwq', 'thinking', ]; const modelsPage = (await client.models.list()) as any; const modelList: OpenRouterModelCard[] = modelsPage.data; const response = await fetch('https://openrouter.ai/api/frontend/models'); const modelsExtraInfo: OpenRouterModelExtraInfo[] = []; if (response.ok) { const data = await response.json(); modelsExtraInfo.push(...data['data']); } return modelList .map((model) => { const knownModel = LOBE_DEFAULT_MODEL_LIST.find( (m) => model.id.toLowerCase() === m.id.toLowerCase(), ); const extraInfo = modelsExtraInfo.find( (m) => m.slug.toLowerCase() === model.id.toLowerCase(), ); return { contextWindowTokens: model.context_length, description: model.description, displayName: model.name, enabled: knownModel?.enabled || false, functionCall: model.description.includes('function calling') || model.description.includes('tools') || extraInfo?.endpoint?.supports_tool_parameters || knownModel?.abilities?.functionCall || false, id: model.id, maxTokens: typeof model.top_provider.max_completion_tokens === 'number' ? model.top_provider.max_completion_tokens : undefined, pricing: { input: formatPrice(model.pricing.prompt), output: formatPrice(model.pricing.completion), }, reasoning: reasoningKeywords.some((keyword) => model.id.toLowerCase().includes(keyword)) || extraInfo?.endpoint?.supports_reasoning || knownModel?.abilities?.reasoning || false, releasedAt: new Date(model.created * 1000).toISOString().split('T')[0], vision: model.architecture.modality.includes('image') || knownModel?.abilities?.vision || false, }; }) .filter(Boolean) as ChatModelCard[]; }, provider: ModelProvider.OpenRouter, });