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https://github.com/farcasclaudiu/Flowise.git
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add groq
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@@ -0,0 +1,80 @@
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import { BaseCache } from '@langchain/core/caches'
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import { ChatGroq, ChatGroqInput } from '@langchain/groq'
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import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
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import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
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class Groq_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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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 = 'GroqChat'
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this.name = 'groqChat'
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this.version = 2.0
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this.type = 'GroqChat'
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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 API with LPU Inference Engine'
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this.baseClasses = [this.type, ...getBaseClasses(ChatGroq)]
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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: 'Cache',
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name: 'cache',
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type: 'BaseCache',
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optional: true
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},
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{
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label: 'Model Name',
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name: 'modelName',
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type: 'string',
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placeholder: 'ft:gpt-3.5-turbo:my-org:custom_suffix:id'
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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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}
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async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
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const modelName = nodeData.inputs?.modelName as string
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const cache = nodeData.inputs?.cache as BaseCache
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const temperature = nodeData.inputs?.temperature as string
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const streaming = nodeData.inputs?.streaming as boolean
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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: ChatGroqInput = {
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modelName,
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temperature: parseFloat(temperature),
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apiKey: groqApiKey,
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streaming: streaming ?? true
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}
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if (cache) obj.cache = cache
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const model = new ChatGroq(obj)
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return model
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}
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}
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module.exports = { nodeClass: Groq_ChatModels }
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