108 lines
3.6 KiB
TypeScript
108 lines
3.6 KiB
TypeScript
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
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import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
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import { BaseCache } from 'langchain/schema'
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import { ChatGoogleGenerativeAI } from '@langchain/google-genai'
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class GoogleGenerativeAI_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 = 'ChatGoogleGenerativeAI'
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this.name = 'chatGoogleGenerativeAI'
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this.version = 1.0
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this.type = 'ChatGoogleGenerativeAI'
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this.icon = 'GoogleGemini.svg'
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this.category = 'Chat Models'
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this.description = 'Wrapper around Google Gemini large language models that use the Chat endpoint'
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this.baseClasses = [this.type, ...getBaseClasses(ChatGoogleGenerativeAI)]
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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: ['googleGenerativeAI'],
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optional: false,
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description: 'Google Generative AI credential.'
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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: 'options',
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options: [
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{
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label: 'gemini-pro',
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name: 'gemini-pro'
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}
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],
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default: 'gemini-pro'
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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 Output Tokens',
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name: 'maxOutputTokens',
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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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label: 'Top Probability',
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name: 'topP',
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type: 'number',
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step: 0.1,
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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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async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
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const credentialData = await getCredentialData(nodeData.credential ?? '', options)
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const apiKey = getCredentialParam('googleGenerativeAPIKey', credentialData, nodeData)
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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 maxOutputTokens = nodeData.inputs?.maxOutputTokens as string
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const topP = nodeData.inputs?.topP as string
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const cache = nodeData.inputs?.cache as BaseCache
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const obj = {
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apiKey: apiKey,
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modelName: modelName,
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maxOutputTokens: 2048
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}
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if (maxOutputTokens) obj.maxOutputTokens = parseInt(maxOutputTokens, 10)
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const model = new ChatGoogleGenerativeAI(obj)
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if (topP) model.topP = parseFloat(topP)
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if (cache) model.cache = cache
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if (temperature) model.temperature = parseFloat(temperature)
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return model
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}
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}
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module.exports = { nodeClass: GoogleGenerativeAI_ChatModels }
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