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https://github.com/farcasclaudiu/Flowise.git
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add multi prompt chain
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@@ -0,0 +1,68 @@
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import { BaseLanguageModel } from 'langchain/base_language'
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import { INode, INodeData, INodeParams, PromptRetriever } from '../../../src/Interface'
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import { getBaseClasses } from '../../../src/utils'
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import { MultiPromptChain } from 'langchain/chains'
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class MultiPromptChain_Chains 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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baseClasses: string[]
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description: string
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inputs: INodeParams[]
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constructor() {
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this.label = 'Multi Prompt Chain'
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this.name = 'multiPromptChain'
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this.type = 'MultiPromptChain'
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this.icon = 'chain.svg'
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this.category = 'Chains'
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this.description = 'Chain automatically picks an appropriate prompt from multiple prompt templates'
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this.baseClasses = [this.type, ...getBaseClasses(MultiPromptChain)]
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this.inputs = [
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{
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label: 'Language Model',
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name: 'model',
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type: 'BaseLanguageModel'
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},
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{
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label: 'Prompt Retriever',
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name: 'promptRetriever',
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type: 'PromptRetriever',
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list: 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 model = nodeData.inputs?.model as BaseLanguageModel
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const promptRetriever = nodeData.inputs?.promptRetriever as PromptRetriever[]
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const promptNames = []
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const promptDescriptions = []
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const promptTemplates = []
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for (const prompt of promptRetriever) {
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promptNames.push(prompt.name)
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promptDescriptions.push(prompt.description)
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promptTemplates.push(prompt.systemMessage)
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}
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const chain = MultiPromptChain.fromPrompts(model, promptNames, promptDescriptions, promptTemplates, undefined, {
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verbose: process.env.DEBUG === 'true' ? true : false
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} as any)
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return chain
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}
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async run(nodeData: INodeData, input: string): Promise<string> {
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const chain = nodeData.instance as MultiPromptChain
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const res = await chain.call({ input })
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return res?.text
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}
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}
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module.exports = { nodeClass: MultiPromptChain_Chains }
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