mirror of
https://github.com/farcasclaudiu/Flowise.git
synced 2026-06-29 07:01:04 +03:00
Henry Heng
bca4de0c63
* update build functions * sequential agents * update langchain to 0.2, added sequential agent nodes * add marketplace templates * update howto wordings * Merge branch 'main' into feature/Seq-Agents # Conflicts: # pnpm-lock.yaml * update deprecated functions and add new sequential nodes * add marketplace templates * update marketplace templates, add structured output to llm node * add multi agents template * update llm node with bindmodels * update cypress version * update templates sticky note wordings * update tool node to include human in loop action * update structured outputs error from models * update cohere package to resolve google genai pipeThrough bug * update mistral package version, added message reconstruction before invoke seq agent * add HITL to agent * update state messages restructuring * update load and split methods for s3 directory
67 lines
2.3 KiB
TypeScript
67 lines
2.3 KiB
TypeScript
import { TogetherAIEmbeddings, TogetherAIEmbeddingsParams } from '@langchain/community/embeddings/togetherai'
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import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
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import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
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class TogetherAIEmbedding_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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inputs: INodeParams[]
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credential: INodeParams
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constructor() {
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this.label = 'TogetherAIEmbedding'
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this.name = 'togetherAIEmbedding'
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this.version = 1.0
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this.type = 'TogetherAIEmbedding'
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this.icon = 'togetherai.png'
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this.category = 'Embeddings'
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this.description = 'TogetherAI Embedding models to generate embeddings for a given text'
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this.baseClasses = [this.type, ...getBaseClasses(TogetherAIEmbeddings)]
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this.credential = {
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label: 'Connect Credential',
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name: 'credential',
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type: 'credential',
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credentialNames: ['togetherAIApi']
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}
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this.inputs = [
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{
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label: 'Cache',
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name: 'cache',
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type: 'BaseCache',
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optional: true
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},
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{
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label: 'Model Name',
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name: 'modelName',
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type: 'string',
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placeholder: 'sentence-transformers/msmarco-bert-base-dot-v5',
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description: 'Refer to <a target="_blank" href="https://docs.together.ai/docs/embedding-models">embedding models</a> page'
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}
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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 modelName = nodeData.inputs?.modelName as string
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const credentialData = await getCredentialData(nodeData.credential ?? '', options)
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const togetherAIApiKey = getCredentialParam('togetherAIApiKey', credentialData, nodeData)
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const obj: Partial<TogetherAIEmbeddingsParams> = {
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modelName: modelName,
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apiKey: togetherAIApiKey,
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model: modelName
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}
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const model = new TogetherAIEmbeddings(obj)
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return model
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}
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}
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module.exports = { nodeClass: TogetherAIEmbedding_Embeddings }
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