Flowise/packages/components/nodes/chatmodels/ChatGoogleVertexAI/ChatGoogleVertexAI.ts

import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { ChatGoogleVertexAI, GoogleVertexAIChatInput } from 'langchain/chat_models/googlevertexai'
import { GoogleAuthOptions } from 'google-auth-library'
import { BaseCache } from 'langchain/schema'

class GoogleVertexAI_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 = 'ChatGoogleVertexAI'
        this.name = 'chatGoogleVertexAI'
        this.version = 2.0
        this.type = 'ChatGoogleVertexAI'
        this.icon = 'GoogleVertex.svg'
        this.category = 'Chat Models'
        this.description = 'Wrapper around VertexAI large language models that use the Chat endpoint'
        this.baseClasses = [this.type, ...getBaseClasses(ChatGoogleVertexAI)]
        this.credential = {
            label: 'Connect Credential',
            name: 'credential',
            type: 'credential',
            credentialNames: ['googleVertexAuth'],
            optional: true,
            description:
                'Google Vertex AI credential. If you are using a GCP service like Cloud Run, or if you have installed default credentials on your local machine, you do not need to set this credential.'
        }
        this.inputs = [
            {
                label: 'Cache',
                name: 'cache',
                type: 'BaseCache',
                optional: true
            },
            {
                label: 'Model Name',
                name: 'modelName',
                type: 'options',
                options: [
                    {
                        label: 'chat-bison',
                        name: 'chat-bison'
                    },
                    {
                        label: 'codechat-bison',
                        name: 'codechat-bison'
                    },
                    {
                        label: 'chat-bison-32k',
                        name: 'chat-bison-32k'
                    },
                    {
                        label: 'codechat-bison-32k',
                        name: 'codechat-bison-32k'
                    }
                ],
                default: 'chat-bison',
                optional: true
            },
            {
                label: 'Temperature',
                name: 'temperature',
                type: 'number',
                step: 0.1,
                default: 0.9,
                optional: true
            },
            {
                label: 'Max Output Tokens',
                name: 'maxOutputTokens',
                type: 'number',
                step: 1,
                optional: true,
                additionalParams: true
            },
            {
                label: 'Top Probability',
                name: 'topP',
                type: 'number',
                step: 0.1,
                optional: true,
                additionalParams: true
            }
        ]
    }

    async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
        const credentialData = await getCredentialData(nodeData.credential ?? '', options)
        const googleApplicationCredentialFilePath = getCredentialParam('googleApplicationCredentialFilePath', credentialData, nodeData)
        const googleApplicationCredential = getCredentialParam('googleApplicationCredential', credentialData, nodeData)
        const projectID = getCredentialParam('projectID', credentialData, nodeData)

        const authOptions: GoogleAuthOptions = {}
        if (Object.keys(credentialData).length !== 0) {
            if (!googleApplicationCredentialFilePath && !googleApplicationCredential)
                throw new Error('Please specify your Google Application Credential')
            if (!googleApplicationCredentialFilePath && !googleApplicationCredential)
                throw new Error(
                    'Error: More than one component has been inputted. Please use only one of the following: Google Application Credential File Path or Google Credential JSON Object'
                )

            if (googleApplicationCredentialFilePath && !googleApplicationCredential)
                authOptions.keyFile = googleApplicationCredentialFilePath
            else if (!googleApplicationCredentialFilePath && googleApplicationCredential)
                authOptions.credentials = JSON.parse(googleApplicationCredential)

            if (projectID) authOptions.projectId = projectID
        }

        const temperature = nodeData.inputs?.temperature as string
        const modelName = nodeData.inputs?.modelName as string
        const maxOutputTokens = nodeData.inputs?.maxOutputTokens as string
        const topP = nodeData.inputs?.topP as string
        const cache = nodeData.inputs?.cache as BaseCache

        const obj: GoogleVertexAIChatInput<GoogleAuthOptions> = {
            temperature: parseFloat(temperature),
            model: modelName
        }
        if (Object.keys(authOptions).length !== 0) obj.authOptions = authOptions

        if (maxOutputTokens) obj.maxOutputTokens = parseInt(maxOutputTokens, 10)
        if (topP) obj.topP = parseFloat(topP)
        if (cache) obj.cache = cache

        const model = new ChatGoogleVertexAI(obj)
        return model
    }
}

module.exports = { nodeClass: GoogleVertexAI_ChatModels }