Merge branch 'feature/AzureOpenAIEmbeddings' into feature/Azure
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commit
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<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-brand-azure" width="24" height="24" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round">
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<path stroke="none" d="M0 0h24v24H0z" fill="none"></path>
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<path d="M6 7.5l-4 9.5h4l6 -15z"></path>
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<path d="M22 20l-7 -15l-3 7l4 5l-8 3z"></path>
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</svg>
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After Width: | Height: | Size: 392 B |
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import { AzureOpenAIInput } from 'langchain/chat_models/openai'
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import { INode, INodeData, INodeParams } from '../../../src/Interface'
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import { getBaseClasses } from '../../../src/utils'
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import { OpenAIEmbeddings, OpenAIEmbeddingsParams } from 'langchain/embeddings/openai'
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class AzureOpenAIEmbedding_Embeddings implements INode {
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label: string
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name: string
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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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inputs: INodeParams[]
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constructor() {
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this.label = 'Azure OpenAI Embeddings'
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this.name = 'azureOpenAIEmbeddings'
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this.type = 'AzureOpenAIEmbeddings'
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this.icon = 'Azure.svg'
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this.category = 'Embeddings'
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this.description = 'Azure OpenAI API to generate embeddings for a given text'
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this.baseClasses = [this.type, ...getBaseClasses(OpenAIEmbeddings)]
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this.inputs = [
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{
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label: 'Azure OpenAI Api Key',
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name: 'azureOpenAIApiKey',
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type: 'password'
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},
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{
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label: 'Azure OpenAI Api Instance Name',
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name: 'azureOpenAIApiInstanceName',
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type: 'string',
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placeholder: 'YOUR-INSTANCE-NAME'
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},
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{
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label: 'Azure OpenAI Api Deployment Name',
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name: 'azureOpenAIApiDeploymentName',
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type: 'string',
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placeholder: 'YOUR-DEPLOYMENT-NAME'
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},
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{
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label: 'Azure OpenAI Api Version',
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name: 'azureOpenAIApiVersion',
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type: 'string',
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placeholder: 'YOUR-API-VERSION'
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},
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{
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label: 'Strip New Lines',
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name: 'stripNewLines',
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type: 'boolean',
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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: 'Batch Size',
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name: 'batchSize',
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type: 'number',
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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: 'Timeout',
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name: 'timeout',
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type: 'number',
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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): Promise<any> {
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const azureOpenAIApiKey = nodeData.inputs?.azureOpenAIApiKey as string
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const azureOpenAIApiInstanceName = nodeData.inputs?.azureOpenAIApiInstanceName as string
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const azureOpenAIApiDeploymentName = nodeData.inputs?.azureOpenAIApiDeploymentName as string
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const azureOpenAIApiVersion = nodeData.inputs?.azureOpenAIApiVersion as string
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const stripNewLines = nodeData.inputs?.stripNewLines as boolean
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const batchSize = nodeData.inputs?.batchSize as string
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const timeout = nodeData.inputs?.timeout as string
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const obj: Partial<OpenAIEmbeddingsParams> & Partial<AzureOpenAIInput> = {
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azureOpenAIApiKey,
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azureOpenAIApiInstanceName,
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azureOpenAIApiDeploymentName,
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azureOpenAIApiVersion
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}
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if (stripNewLines) obj.stripNewLines = stripNewLines
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if (batchSize) obj.batchSize = parseInt(batchSize, 10)
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if (timeout) obj.timeout = parseInt(timeout, 10)
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const model = new OpenAIEmbeddings(obj)
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return model
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}
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}
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module.exports = { nodeClass: AzureOpenAIEmbedding_Embeddings }
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