89 lines
2.9 KiB
TypeScript
89 lines
2.9 KiB
TypeScript
import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface'
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import { MODEL_TYPE, getModels } from '../../../src/modelLoader'
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import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
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import { Groq, OpenAI } from 'llamaindex'
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class ChatGroq_LlamaIndex_ChatModels implements INode {
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label: string
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name: string
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version: number
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type: string
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icon: string
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category: string
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description: string
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tags: string[]
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baseClasses: string[]
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credential: INodeParams
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inputs: INodeParams[]
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constructor() {
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this.label = 'ChatGroq'
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this.name = 'chatGroq_LlamaIndex'
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this.version = 1.0
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this.type = 'ChatGroq'
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this.icon = 'groq.png'
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this.category = 'Chat Models'
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this.description = 'Wrapper around Groq LLM specific for LlamaIndex'
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this.baseClasses = [this.type, 'BaseChatModel_LlamaIndex', ...getBaseClasses(Groq)]
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this.tags = ['LlamaIndex']
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this.credential = {
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label: 'Connect Credential',
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name: 'credential',
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type: 'credential',
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credentialNames: ['groqApi'],
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optional: true
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}
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this.inputs = [
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{
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label: 'Model Name',
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name: 'modelName',
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type: 'asyncOptions',
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loadMethod: 'listModels',
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placeholder: 'llama3-70b-8192'
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},
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{
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label: 'Temperature',
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name: 'temperature',
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type: 'number',
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step: 0.1,
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default: 0.9,
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optional: true
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},
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{
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label: 'Max Tokens',
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name: 'maxTokens',
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type: 'number',
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step: 1,
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optional: true,
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additionalParams: true
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}
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]
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}
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//@ts-ignore
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loadMethods = {
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async listModels(): Promise<INodeOptionsValue[]> {
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return await getModels(MODEL_TYPE.CHAT, 'groqChat')
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}
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}
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async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
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const temperature = nodeData.inputs?.temperature as string
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const modelName = nodeData.inputs?.modelName as string
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const maxTokens = nodeData.inputs?.maxTokens as string
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const credentialData = await getCredentialData(nodeData.credential ?? '', options)
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const groqApiKey = getCredentialParam('groqApiKey', credentialData, nodeData)
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const obj: Partial<OpenAI> = {
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temperature: parseFloat(temperature),
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model: modelName,
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apiKey: groqApiKey
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}
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if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
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const model = new Groq(obj)
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return model
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}
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}
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module.exports = { nodeClass: ChatGroq_LlamaIndex_ChatModels }
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