mirror of
https://github.com/farcasclaudiu/Flowise.git
synced 2026-06-28 15:00:57 +03:00
add format prompt values to prompt template
This commit is contained in:
@@ -1,8 +1,7 @@
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import { INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
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import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
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import { getBaseClasses } from '../../../src/utils'
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import { LLMChain } from 'langchain/chains'
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import { BaseLanguageModel } from 'langchain/base_language'
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import { BasePromptTemplate } from 'langchain/prompts'
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class LLMChain_Chains implements INode {
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label: string
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@@ -38,21 +37,8 @@ class LLMChain_Chains implements INode {
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label: 'Chain Name',
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name: 'chainName',
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type: 'string',
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placeholder: 'Task Creation Chain',
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placeholder: 'Name Your Chain',
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optional: true
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},
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{
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label: 'Format Prompt Values',
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name: 'promptValues',
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type: 'string',
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rows: 5,
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placeholder: `{
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"input_language": "English",
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"output_language": "French"
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}`,
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optional: true,
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acceptVariable: true,
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list: true
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}
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]
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this.outputs = [
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@@ -71,9 +57,9 @@ class LLMChain_Chains implements INode {
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async init(nodeData: INodeData, input: string): Promise<any> {
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const model = nodeData.inputs?.model as BaseLanguageModel
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const prompt = nodeData.inputs?.prompt as BasePromptTemplate
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const prompt = nodeData.inputs?.prompt
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const output = nodeData.outputs?.output as string
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const promptValuesStr = nodeData.inputs?.promptValues as string
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const promptValues = prompt.promptValues as ICommonObject
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if (output === this.name) {
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const chain = new LLMChain({ llm: model, prompt })
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@@ -81,7 +67,7 @@ class LLMChain_Chains implements INode {
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} else if (output === 'outputPrediction') {
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const chain = new LLMChain({ llm: model, prompt })
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const inputVariables = chain.prompt.inputVariables as string[] // ["product"]
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const res = await runPrediction(inputVariables, chain, input, promptValuesStr)
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const res = await runPrediction(inputVariables, chain, input, promptValues)
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// eslint-disable-next-line no-console
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console.log('\x1b[92m\x1b[1m\n*****OUTPUT PREDICTION*****\n\x1b[0m\x1b[0m')
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// eslint-disable-next-line no-console
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@@ -93,8 +79,9 @@ class LLMChain_Chains implements INode {
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async run(nodeData: INodeData, input: string): Promise<string> {
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const inputVariables = nodeData.instance.prompt.inputVariables as string[] // ["product"]
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const chain = nodeData.instance as LLMChain
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const promptValuesStr = nodeData.inputs?.promptValues as string
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const res = await runPrediction(inputVariables, chain, input, promptValuesStr)
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const promptValues = nodeData.inputs?.prompt.promptValues as ICommonObject
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const res = await runPrediction(inputVariables, chain, input, promptValues)
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// eslint-disable-next-line no-console
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console.log('\x1b[93m\x1b[1m\n*****FINAL RESULT*****\n\x1b[0m\x1b[0m')
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// eslint-disable-next-line no-console
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@@ -103,14 +90,11 @@ class LLMChain_Chains implements INode {
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}
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}
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const runPrediction = async (inputVariables: string[], chain: LLMChain, input: string, promptValuesStr: string) => {
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const runPrediction = async (inputVariables: string[], chain: LLMChain, input: string, promptValues: ICommonObject) => {
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if (inputVariables.length === 1) {
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const res = await chain.run(input)
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return res
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} else if (inputVariables.length > 1) {
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if (!promptValuesStr) throw new Error('Please provide Prompt Values')
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const promptValues = JSON.parse(promptValuesStr.replace(/\s/g, ''))
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let seen: string[] = []
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for (const variable of inputVariables) {
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@@ -1,4 +1,4 @@
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import { INode, INodeData, INodeParams } from '../../../src/Interface'
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import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
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import { getBaseClasses } from '../../../src/utils'
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import { ChatPromptTemplate, SystemMessagePromptTemplate, HumanMessagePromptTemplate } from 'langchain/prompts'
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@@ -25,15 +25,28 @@ class ChatPromptTemplate_Prompts implements INode {
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label: 'System Message',
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name: 'systemMessagePrompt',
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type: 'string',
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rows: 3,
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rows: 4,
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placeholder: `You are a helpful assistant that translates {input_language} to {output_language}.`
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},
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{
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label: 'Human Message',
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name: 'humanMessagePrompt',
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type: 'string',
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rows: 3,
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rows: 4,
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placeholder: `{text}`
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},
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{
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label: 'Format Prompt Values',
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name: 'promptValues',
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type: 'string',
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rows: 4,
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placeholder: `{
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"input_language": "English",
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"output_language": "French"
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}`,
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optional: true,
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acceptVariable: true,
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list: true
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}
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]
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}
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@@ -41,11 +54,20 @@ class ChatPromptTemplate_Prompts implements INode {
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async init(nodeData: INodeData): Promise<any> {
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const systemMessagePrompt = nodeData.inputs?.systemMessagePrompt as string
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const humanMessagePrompt = nodeData.inputs?.humanMessagePrompt as string
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const promptValuesStr = nodeData.inputs?.promptValues as string
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const prompt = ChatPromptTemplate.fromPromptMessages([
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SystemMessagePromptTemplate.fromTemplate(systemMessagePrompt),
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HumanMessagePromptTemplate.fromTemplate(humanMessagePrompt)
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])
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let promptValues: ICommonObject = {}
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if (promptValuesStr) {
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promptValues = JSON.parse(promptValuesStr.replace(/\s/g, ''))
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}
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// @ts-ignore
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prompt.promptValues = promptValues
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return prompt
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}
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}
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@@ -27,7 +27,7 @@ class FewShotPromptTemplate_Prompts implements INode {
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label: 'Examples',
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name: 'examples',
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type: 'string',
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rows: 5,
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rows: 4,
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placeholder: `[
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{ "word": "happy", "antonym": "sad" },
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{ "word": "tall", "antonym": "short" },
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@@ -42,14 +42,14 @@ class FewShotPromptTemplate_Prompts implements INode {
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label: 'Prefix',
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name: 'prefix',
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type: 'string',
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rows: 3,
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rows: 4,
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placeholder: `Give the antonym of every input`
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},
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{
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label: 'Suffix',
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name: 'suffix',
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type: 'string',
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rows: 3,
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rows: 4,
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placeholder: `Word: {input}\nAntonym:`
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},
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{
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@@ -1,6 +1,6 @@
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import { INode, INodeData, INodeParams } from '../../../src/Interface'
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import { ICommonObject, INode, INodeData, INodeParams, PromptTemplate } from '../../../src/Interface'
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import { getBaseClasses, getInputVariables } from '../../../src/utils'
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import { PromptTemplate, PromptTemplateInput } from 'langchain/prompts'
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import { PromptTemplateInput } from 'langchain/prompts'
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class PromptTemplate_Prompts implements INode {
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label: string
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@@ -19,20 +19,40 @@ class PromptTemplate_Prompts implements INode {
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this.icon = 'prompt.svg'
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this.category = 'Prompts'
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this.description = 'Schema to represent a basic prompt for an LLM'
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this.baseClasses = [this.type, ...getBaseClasses(PromptTemplate)]
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this.baseClasses = [...getBaseClasses(PromptTemplate)]
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this.inputs = [
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{
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label: 'Template',
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name: 'template',
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type: 'string',
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rows: 5,
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rows: 4,
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placeholder: `What is a good name for a company that makes {product}?`
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},
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{
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label: 'Format Prompt Values',
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name: 'promptValues',
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type: 'string',
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rows: 4,
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placeholder: `{
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"input_language": "English",
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"output_language": "French"
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}`,
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optional: true,
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acceptVariable: true,
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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 template = nodeData.inputs?.template as string
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const promptValuesStr = nodeData.inputs?.promptValues as string
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let promptValues: ICommonObject = {}
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if (promptValuesStr) {
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promptValues = JSON.parse(promptValuesStr.replace(/\s/g, ''))
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}
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const inputVariables = getInputVariables(template)
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try {
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@@ -41,6 +61,7 @@ class PromptTemplate_Prompts implements INode {
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inputVariables
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}
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const prompt = new PromptTemplate(options)
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prompt.promptValues = promptValues
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return prompt
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} catch (e) {
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throw new Error(e)
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