import { BaseCache } from '@langchain/core/caches' import { ChatGroq, ChatGroqInput } from '@langchain/groq' import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils' class Groq_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 = 'GroqChat' this.name = 'groqChat' this.version = 2.0 this.type = 'GroqChat' this.icon = 'groq.png' this.category = 'Chat Models' this.description = 'Wrapper around Groq API with LPU Inference Engine' this.baseClasses = [this.type, ...getBaseClasses(ChatGroq)] this.credential = { label: 'Connect Credential', name: 'credential', type: 'credential', credentialNames: ['groqApi'], optional: true } this.inputs = [ { label: 'Cache', name: 'cache', type: 'BaseCache', optional: true }, { label: 'Model Name', name: 'modelName', type: 'string', placeholder: 'ft:gpt-3.5-turbo:my-org:custom_suffix:id' }, { label: 'Temperature', name: 'temperature', type: 'number', step: 0.1, default: 0.9, optional: true } ] } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise { const modelName = nodeData.inputs?.modelName as string const cache = nodeData.inputs?.cache as BaseCache const temperature = nodeData.inputs?.temperature as string const streaming = nodeData.inputs?.streaming as boolean const credentialData = await getCredentialData(nodeData.credential ?? '', options) const groqApiKey = getCredentialParam('groqApiKey', credentialData, nodeData) const obj: ChatGroqInput = { modelName, temperature: parseFloat(temperature), apiKey: groqApiKey, streaming: streaming ?? true } if (cache) obj.cache = cache const model = new ChatGroq(obj) return model } } module.exports = { nodeClass: Groq_ChatModels }