mirror of
https://github.com/farcasclaudiu/Flowise.git
synced 2026-06-22 09:01:09 +03:00
788d40f26b
* fixes * test json * test json * externalize model list * externalize model list * correcting awsChatBedRock Name * lint fixes * externalize models * externalize chat models * externalize chat models * externalize llm models * externalize llm models * lint fixes * addition of models for ChatMistral * updating version numbers for all imapacted nodes. * marketplace template updates * update embeddings, marketplaces, add chatCohere * config changes for new env variable * removal of local models.json * update models json file --------- Co-authored-by: Henry <hzj94@hotmail.com>
136 lines
4.8 KiB
TypeScript
136 lines
4.8 KiB
TypeScript
import { BedrockRuntimeClient, InvokeModelCommand } from '@aws-sdk/client-bedrock-runtime'
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import { BedrockEmbeddings, BedrockEmbeddingsParams } from '@langchain/community/embeddings/bedrock'
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import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface'
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import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
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import { MODEL_TYPE, getModels, getRegions } from '../../../src/modelLoader'
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class AWSBedrockEmbedding_Embeddings implements INode {
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label: string
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name: string
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version: number
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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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credential: INodeParams
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inputs: INodeParams[]
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constructor() {
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this.label = 'AWS Bedrock Embeddings'
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this.name = 'AWSBedrockEmbeddings'
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this.version = 4.0
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this.type = 'AWSBedrockEmbeddings'
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this.icon = 'aws.svg'
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this.category = 'Embeddings'
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this.description = 'AWSBedrock embedding models to generate embeddings for a given text'
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this.baseClasses = [this.type, ...getBaseClasses(BedrockEmbeddings)]
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this.credential = {
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label: 'AWS Credential',
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name: 'credential',
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type: 'credential',
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credentialNames: ['awsApi'],
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optional: true
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}
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this.inputs = [
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{
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label: 'Region',
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name: 'region',
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type: 'asyncOptions',
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loadMethod: 'listRegions',
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default: 'us-east-1'
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},
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{
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label: 'Model Name',
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name: 'model',
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type: 'asyncOptions',
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loadMethod: 'listModels',
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default: 'amazon.titan-embed-text-v1'
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},
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{
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label: 'Custom Model Name',
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name: 'customModel',
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description: 'If provided, will override model selected from Model Name option',
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type: 'string',
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optional: true
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}
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]
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}
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//@ts-ignore
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loadMethods = {
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async listModels(): Promise<INodeOptionsValue[]> {
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return await getModels(MODEL_TYPE.EMBEDDING, 'AWSBedrockEmbeddings')
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},
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async listRegions(): Promise<INodeOptionsValue[]> {
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return await getRegions(MODEL_TYPE.EMBEDDING, 'AWSBedrockEmbeddings')
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}
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}
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async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
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const iRegion = nodeData.inputs?.region as string
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const iModel = nodeData.inputs?.model as string
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const customModel = nodeData.inputs?.customModel as string
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const obj: BedrockEmbeddingsParams = {
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model: customModel ? customModel : iModel,
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region: iRegion
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}
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const credentialData = await getCredentialData(nodeData.credential ?? '', options)
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if (credentialData && Object.keys(credentialData).length !== 0) {
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const credentialApiKey = getCredentialParam('awsKey', credentialData, nodeData)
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const credentialApiSecret = getCredentialParam('awsSecret', credentialData, nodeData)
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const credentialApiSession = getCredentialParam('awsSession', credentialData, nodeData)
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obj.credentials = {
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accessKeyId: credentialApiKey,
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secretAccessKey: credentialApiSecret,
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sessionToken: credentialApiSession
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}
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}
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const client = new BedrockRuntimeClient({
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region: obj.region,
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credentials: obj.credentials
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})
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const model = new BedrockEmbeddings(obj)
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// Avoid Illegal Invocation
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model.embedQuery = async (document: string): Promise<number[]> => {
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return await embedText(document, client, iModel)
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}
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model.embedDocuments = async (documents: string[]): Promise<number[][]> => {
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return Promise.all(documents.map((document) => embedText(document, client, iModel)))
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}
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return model
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}
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}
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const embedText = async (text: string, client: BedrockRuntimeClient, model: string): Promise<number[]> => {
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// replace newlines, which can negatively affect performance.
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const cleanedText = text.replace(/\n/g, ' ')
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const res = await client.send(
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new InvokeModelCommand({
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modelId: model,
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body: JSON.stringify({
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inputText: cleanedText
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}),
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contentType: 'application/json',
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accept: 'application/json'
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})
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)
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try {
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const body = new TextDecoder().decode(res.body)
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return JSON.parse(body).embedding
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} catch (e) {
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throw new Error('An invalid response was returned by Bedrock.')
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}
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}
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module.exports = { nodeClass: AWSBedrockEmbedding_Embeddings }
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