@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 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,
});