import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' import { ChatOpenAI, OpenAIChatInput } from 'langchain/chat_models/openai' import { BaseCache } from 'langchain/schema' import { BaseLLMParams } from 'langchain/llms/base' class ChatOpenAI_ChatModels implements INode { label: string name: string version: number type: string icon: string category: string description: string baseClasses: string[] credential: INodeParams inputs: INodeParams[] constructor() { this.label = 'ChatOpenAI' this.name = 'chatOpenAI' this.version = 3.0 this.type = 'ChatOpenAI' this.icon = 'openai.svg' this.category = 'Chat Models' this.description = 'Wrapper around OpenAI large language models that use the Chat endpoint' this.baseClasses = [this.type, ...getBaseClasses(ChatOpenAI)] this.credential = { label: 'Connect Credential', name: 'credential', type: 'credential', credentialNames: ['openAIApi'] } this.inputs = [ { label: 'Cache', name: 'cache', type: 'BaseCache', optional: true }, { label: 'Model Name', name: 'modelName', type: 'options', options: [ { label: 'gpt-4', name: 'gpt-4' }, { label: 'gpt-4-turbo-preview', name: 'gpt-4-turbo-preview' }, { label: 'gpt-4-0125-preview', name: 'gpt-4-0125-preview' }, { label: 'gpt-4-1106-preview', name: 'gpt-4-1106-preview' }, { label: 'gpt-4-1106-vision-preview', name: 'gpt-4-1106-vision-preview' }, { label: 'gpt-4-vision-preview', name: 'gpt-4-vision-preview' }, { label: 'gpt-4-0613', name: 'gpt-4-0613' }, { label: 'gpt-4-32k', name: 'gpt-4-32k' }, { label: 'gpt-4-32k-0613', name: 'gpt-4-32k-0613' }, { label: 'gpt-3.5-turbo', name: 'gpt-3.5-turbo' }, { label: 'gpt-3.5-turbo-0125', name: 'gpt-3.5-turbo-0125' }, { label: 'gpt-3.5-turbo-1106', name: 'gpt-3.5-turbo-1106' }, { label: 'gpt-3.5-turbo-0613', name: 'gpt-3.5-turbo-0613' }, { label: 'gpt-3.5-turbo-16k', name: 'gpt-3.5-turbo-16k' }, { label: 'gpt-3.5-turbo-16k-0613', name: 'gpt-3.5-turbo-16k-0613' } ], default: 'gpt-3.5-turbo', optional: true }, { label: 'Temperature', name: 'temperature', type: 'number', step: 0.1, default: 0.9, optional: true }, { label: 'Max Tokens', name: 'maxTokens', type: 'number', step: 1, optional: true, additionalParams: true }, { label: 'Top Probability', name: 'topP', type: 'number', step: 0.1, optional: true, additionalParams: true }, { label: 'Frequency Penalty', name: 'frequencyPenalty', type: 'number', step: 0.1, optional: true, additionalParams: true }, { label: 'Presence Penalty', name: 'presencePenalty', type: 'number', step: 0.1, optional: true, additionalParams: true }, { label: 'Timeout', name: 'timeout', type: 'number', step: 1, optional: true, additionalParams: true }, { label: 'BasePath', name: 'basepath', type: 'string', optional: true, additionalParams: true }, { label: 'BaseOptions', name: 'baseOptions', type: 'json', optional: true, additionalParams: true } ] } async init(nodeData: INodeData, _: string, options: ICommonObject): 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 frequencyPenalty = nodeData.inputs?.frequencyPenalty as string const presencePenalty = nodeData.inputs?.presencePenalty as string const timeout = nodeData.inputs?.timeout as string const streaming = nodeData.inputs?.streaming as boolean const basePath = nodeData.inputs?.basepath as string const baseOptions = nodeData.inputs?.baseOptions const credentialData = await getCredentialData(nodeData.credential ?? '', options) const openAIApiKey = getCredentialParam('openAIApiKey', credentialData, nodeData) const cache = nodeData.inputs?.cache as BaseCache const obj: Partial & BaseLLMParams & { openAIApiKey?: string } = { temperature: parseFloat(temperature), modelName, openAIApiKey, streaming: streaming ?? true } if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10) if (topP) obj.topP = parseFloat(topP) if (frequencyPenalty) obj.frequencyPenalty = parseFloat(frequencyPenalty) if (presencePenalty) obj.presencePenalty = parseFloat(presencePenalty) if (timeout) obj.timeout = parseInt(timeout, 10) if (cache) obj.cache = cache let parsedBaseOptions: any | undefined = undefined if (baseOptions) { try { parsedBaseOptions = typeof baseOptions === 'object' ? baseOptions : JSON.parse(baseOptions) } catch (exception) { throw new Error("Invalid JSON in the ChatOpenAI's BaseOptions: " + exception) } } const model = new ChatOpenAI(obj, { basePath, baseOptions: parsedBaseOptions }) return model } } module.exports = { nodeClass: ChatOpenAI_ChatModels }