@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 { ChatStreamPayload, ModelProvider } from '../types';
import { LobeOpenAICompatibleFactory } from '../utils/openaiCompatibleFactory';
import type { ChatModelCard } from '@/types/llm';
export interface BaichuanModelCard {
function_call: boolean;
max_input_length: number;
max_tokens: number;
model: string;
model_show_name: string;
}
export const LobeBaichuanAI = LobeOpenAICompatibleFactory({
baseURL: 'https://api.baichuan-ai.com/v1',
chatCompletion: {
handlePayload: (payload: ChatStreamPayload) => {
const { enabledSearch, temperature, tools, ...rest } = payload;
const baichuanTools = enabledSearch ? [
...(tools || []),
{
type: "web_search",
web_search: {
enable: true,
search_mode: process.env.BAICHUAN_SEARCH_MODE || "performance_first", // performance_first or quality_first
},
}
] : tools;
return {
...rest,
// [baichuan] frequency_penalty must be between 1 and 2.
frequency_penalty: undefined,
temperature: temperature !== undefined ? temperature / 2 : undefined,
tools: baichuanTools,
} as any;
},
},
debug: {
chatCompletion: () => process.env.DEBUG_BAICHUAN_CHAT_COMPLETION === '1',
},
models: async ({ client }) => {
const { LOBE_DEFAULT_MODEL_LIST } = await import('@/config/aiModels');
const modelsPage = await client.models.list() as any;
const modelList: BaichuanModelCard[] = modelsPage.data;
return modelList
.map((model) => {
const knownModel = LOBE_DEFAULT_MODEL_LIST.find((m) => model.model.toLowerCase() === m.id.toLowerCase());
return {
contextWindowTokens: model.max_input_length,
displayName: model.model_show_name,
enabled: knownModel?.enabled || false,
functionCall: model.function_call,
id: model.model,
maxTokens: model.max_tokens,
reasoning:
knownModel?.abilities?.reasoning
|| false,
vision:
knownModel?.abilities?.vision
|| false,
};
})
.filter(Boolean) as ChatModelCard[];
},
provider: ModelProvider.Baichuan,
});