Flowise/packages/components/nodes/embeddings/OpenAIEmbeddingCustom/OpenAIEmbeddingCustom.ts

128 lines
4.3 KiB
TypeScript

import { ClientOptions, OpenAIEmbeddings, OpenAIEmbeddingsParams } from '@langchain/openai'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
class OpenAIEmbeddingCustom_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 = 'OpenAI Embeddings Custom'
this.name = 'openAIEmbeddingsCustom'
this.version = 3.0
this.type = 'OpenAIEmbeddingsCustom'
this.icon = 'openai.svg'
this.category = 'Embeddings'
this.description = 'OpenAI API to generate embeddings for a given text'
this.baseClasses = [this.type, ...getBaseClasses(OpenAIEmbeddings)]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['openAIApi']
}
this.inputs = [
{
label: 'Strip New Lines',
name: 'stripNewLines',
type: 'boolean',
optional: true,
additionalParams: true
},
{
label: 'Batch Size',
name: 'batchSize',
type: 'number',
optional: true,
additionalParams: true
},
{
label: 'Timeout',
name: 'timeout',
type: 'number',
optional: true,
additionalParams: true
},
{
label: 'BasePath',
name: 'basepath',
type: 'string',
optional: true,
additionalParams: true
},
{
label: 'BaseOptions',
name: 'baseOptions',
type: 'json',
optional: true,
additionalParams: true
},
{
label: 'Model Name',
name: 'modelName',
type: 'string',
optional: true
},
{
label: 'Dimensions',
name: 'dimensions',
type: 'number',
optional: true,
additionalParams: true
}
]
}
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const stripNewLines = nodeData.inputs?.stripNewLines as boolean
const batchSize = nodeData.inputs?.batchSize as string
const timeout = nodeData.inputs?.timeout as string
const basePath = nodeData.inputs?.basepath as string
const modelName = nodeData.inputs?.modelName as string
const dimensions = nodeData.inputs?.dimensions as string
const baseOptions = nodeData.inputs?.baseOptions
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const openAIApiKey = getCredentialParam('openAIApiKey', credentialData, nodeData)
const obj: Partial<OpenAIEmbeddingsParams> & { openAIApiKey?: string; configuration?: ClientOptions } = {
openAIApiKey
}
if (stripNewLines) obj.stripNewLines = stripNewLines
if (batchSize) obj.batchSize = parseInt(batchSize, 10)
if (timeout) obj.timeout = parseInt(timeout, 10)
if (modelName) obj.modelName = modelName
if (dimensions) obj.dimensions = parseInt(dimensions, 10)
let parsedBaseOptions: any | undefined = undefined
if (baseOptions) {
try {
parsedBaseOptions = typeof baseOptions === 'object' ? baseOptions : JSON.parse(baseOptions)
} catch (exception) {
throw new Error("Invalid JSON in the ChatOpenAI's BaseOptions: " + exception)
}
}
if (basePath || parsedBaseOptions) {
obj.configuration = {
baseURL: basePath,
defaultHeaders: parsedBaseOptions
}
}
const model = new OpenAIEmbeddings(obj)
return model
}
}
module.exports = { nodeClass: OpenAIEmbeddingCustom_Embeddings }