import { INode, INodeData, INodeParams } from '../../../src/Interface' import { getBaseClasses } from '../../../src/utils' import { OpenAIChat } from 'langchain/llms/openai' import { OpenAIChatInput } from 'langchain/chat_models/openai' class ChatLocalAI_ChatModels implements INode { label: string name: string type: string icon: string category: string description: string baseClasses: string[] inputs: INodeParams[] constructor() { this.label = 'ChatLocalAI' this.name = 'chatLocalAI' this.type = 'ChatLocalAI' this.icon = 'localai.png' this.category = 'Chat Models' this.description = 'Use local LLMs like llama.cpp, gpt4all using LocalAI' this.baseClasses = [this.type, 'BaseChatModel', ...getBaseClasses(OpenAIChat)] this.inputs = [ { label: 'Base Path', name: 'basePath', type: 'string', placeholder: 'http://localhost:8080/v1' }, { label: 'Model Name', name: 'modelName', type: 'string', placeholder: 'gpt4all-lora-quantized.bin' }, { label: 'Temperature', name: 'temperature', type: 'number', default: 0.9, optional: true }, { label: 'Max Tokens', name: 'maxTokens', type: 'number', optional: true, additionalParams: true }, { label: 'Top Probability', name: 'topP', type: 'number', optional: true, additionalParams: true }, { label: 'Timeout', name: 'timeout', type: 'number', optional: true, additionalParams: true } ] } async init(nodeData: INodeData): Promise { const temperature = nodeData.inputs?.temperature as string const modelName = nodeData.inputs?.modelName as string const maxTokens = nodeData.inputs?.maxTokens as string const topP = nodeData.inputs?.topP as string const timeout = nodeData.inputs?.timeout as string const basePath = nodeData.inputs?.basePath as string const obj: Partial & { openAIApiKey?: string } = { temperature: parseInt(temperature, 10), modelName, openAIApiKey: 'sk-' } if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10) if (topP) obj.topP = parseInt(topP, 10) if (timeout) obj.timeout = parseInt(timeout, 10) const model = new OpenAIChat(obj, { basePath }) return model } } module.exports = { nodeClass: ChatLocalAI_ChatModels }