import { AzureOpenAIInput } from 'langchain/chat_models/openai' import { INode, INodeData, INodeParams } from '../../../src/Interface' import { getBaseClasses } from '../../../src/utils' import { OpenAIEmbeddings, OpenAIEmbeddingsParams } from 'langchain/embeddings/openai' class AzureOpenAIEmbedding_Embeddings implements INode { label: string name: string type: string icon: string category: string description: string baseClasses: string[] inputs: INodeParams[] constructor() { this.label = 'Azure OpenAI Embeddings' this.name = 'azureOpenAIEmbeddings' this.type = 'AzureOpenAIEmbeddings' this.icon = 'Azure.svg' this.category = 'Embeddings' this.description = 'Azure OpenAI API to generate embeddings for a given text' this.baseClasses = [this.type, ...getBaseClasses(OpenAIEmbeddings)] this.inputs = [ { label: 'Azure OpenAI Api Key', name: 'azureOpenAIApiKey', type: 'password' }, { label: 'Azure OpenAI Api Instance Name', name: 'azureOpenAIApiInstanceName', type: 'string', placeholder: 'YOUR-INSTANCE-NAME' }, { label: 'Azure OpenAI Api Deployment Name', name: 'azureOpenAIApiDeploymentName', type: 'string', placeholder: 'YOUR-DEPLOYMENT-NAME' }, { label: 'Azure OpenAI Api Version', name: 'azureOpenAIApiVersion', type: 'options', options: [ { label: '2023-03-15-preview', name: '2023-03-15-preview' }, { label: '2022-12-01', name: '2022-12-01' } ], default: '2023-03-15-preview' }, { label: 'Timeout', name: 'timeout', type: 'number', optional: true, additionalParams: true } ] } async init(nodeData: INodeData): Promise { const azureOpenAIApiKey = nodeData.inputs?.azureOpenAIApiKey as string const azureOpenAIApiInstanceName = nodeData.inputs?.azureOpenAIApiInstanceName as string const azureOpenAIApiDeploymentName = nodeData.inputs?.azureOpenAIApiDeploymentName as string const azureOpenAIApiVersion = nodeData.inputs?.azureOpenAIApiVersion as string const timeout = nodeData.inputs?.timeout as string const obj: Partial & Partial = { azureOpenAIApiKey, azureOpenAIApiInstanceName, azureOpenAIApiDeploymentName, azureOpenAIApiVersion } if (timeout) obj.timeout = parseInt(timeout, 10) const model = new OpenAIEmbeddings(obj) return model } } module.exports = { nodeClass: AzureOpenAIEmbedding_Embeddings }