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dtamind-components

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DTAmindai Components

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import { ClientOptions, OpenAIEmbeddings, OpenAIEmbeddingsParams } from '@langchain/openai' import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' import { getCredentialData, getCredentialParam } from '../../../src/utils' class LocalAIEmbedding_Embeddings 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 = 'LocalAI Embeddings' this.name = 'localAIEmbeddings' this.version = 1.0 this.type = 'LocalAI Embeddings' this.icon = 'localai.png' this.category = 'Embeddings' this.description = 'Use local embeddings models like llama.cpp' this.baseClasses = [this.type, 'Embeddings'] this.credential = { label: 'Connect Credential', name: 'credential', type: 'credential', credentialNames: ['localAIApi'], optional: true } this.inputs = [ { label: 'Base Path', name: 'basePath', type: 'string', placeholder: 'http://localhost:8080/v1' }, { label: 'Model Name', name: 'modelName', type: 'string', placeholder: 'text-embedding-ada-002' } ] } async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> { const modelName = nodeData.inputs?.modelName as string const basePath = nodeData.inputs?.basePath as string const credentialData = await getCredentialData(nodeData.credential ?? '', options) const localAIApiKey = getCredentialParam('localAIApiKey', credentialData, nodeData) const obj: Partial<OpenAIEmbeddingsParams> & { openAIApiKey?: string; configuration?: ClientOptions } = { modelName, openAIApiKey: 'sk-' } if (localAIApiKey) obj.openAIApiKey = localAIApiKey if (basePath) obj.configuration = { baseURL: basePath } const model = new OpenAIEmbeddings(obj) return model } } module.exports = { nodeClass: LocalAIEmbedding_Embeddings }