mirror of
https://github.com/farcasclaudiu/Flowise.git
synced 2026-06-28 17:01:00 +03:00
Code cleanup and minor fixes.
This commit is contained in:
@@ -4,7 +4,7 @@ import { LLMChain } from 'langchain/chains'
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import { BaseLanguageModel } from 'langchain/base_language'
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import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler'
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import { BaseOutputParser } from 'langchain/schema/output_parser'
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import { ChatPromptTemplate, FewShotPromptTemplate, PromptTemplate, SystemMessagePromptTemplate } from 'langchain/prompts'
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import { injectOutputParser, applyOutputParser } from '../../outputparsers/OutputParserHelpers'
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class LLMChain_Chains implements INode {
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label: string
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@@ -21,7 +21,7 @@ class LLMChain_Chains implements INode {
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constructor() {
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this.label = 'LLM Chain'
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this.name = 'llmChain'
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this.version = 2.0
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this.version = 3.0
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this.type = 'LLMChain'
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this.icon = 'chain.svg'
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this.category = 'Chains'
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@@ -95,30 +95,9 @@ class LLMChain_Chains implements INode {
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async run(nodeData: INodeData, input: string, options: ICommonObject): 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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let promptValues = nodeData.inputs?.prompt.promptValues as ICommonObject
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let promptValues: ICommonObject | undefined = nodeData.inputs?.prompt.promptValues as ICommonObject
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const outputParser = nodeData.inputs?.outputParser as BaseOutputParser
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if (outputParser && chain.prompt) {
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const formatInstructions = outputParser.getFormatInstructions()
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if (chain.prompt instanceof PromptTemplate) {
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let pt = chain.prompt
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pt.template = pt.template + '\n{format_instructions}'
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chain.prompt.partialVariables = { format_instructions: formatInstructions }
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} else if (chain.prompt instanceof ChatPromptTemplate) {
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let pt = chain.prompt
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pt.promptMessages.forEach((msg) => {
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if (msg instanceof SystemMessagePromptTemplate) {
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;(msg.prompt as any).partialVariables = { format_instructions: outputParser.getFormatInstructions() }
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;(msg.prompt as any).template = ((msg.prompt as any).template + '\n{format_instructions}') as string
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}
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})
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} else if (chain.prompt instanceof FewShotPromptTemplate) {
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chain.prompt.examplePrompt.partialVariables = { format_instructions: formatInstructions }
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chain.prompt.examplePrompt.template = chain.prompt.examplePrompt.template + '\n{format_instructions}'
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}
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chain.prompt.inputVariables.push('format_instructions')
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promptValues = { ...promptValues, format_instructions: outputParser.getFormatInstructions() }
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}
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promptValues = injectOutputParser(outputParser, chain, promptValues)
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const res = await runPrediction(inputVariables, chain, input, promptValues, options, nodeData, outputParser)
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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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@@ -132,7 +111,7 @@ const runPrediction = async (
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inputVariables: string[],
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chain: LLMChain,
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input: string,
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promptValuesRaw: ICommonObject,
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promptValuesRaw: ICommonObject | undefined,
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options: ICommonObject,
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nodeData: INodeData,
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outputParser: BaseOutputParser | undefined = undefined
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@@ -167,10 +146,10 @@ const runPrediction = async (
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if (isStreaming) {
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const handler = new CustomChainHandler(socketIO, socketIOClientId)
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const res = await chain.call(options, [loggerHandler, handler, ...callbacks])
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return runOutputParser(res?.text, outputParser)
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return applyOutputParser(res?.text, outputParser)
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} else {
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const res = await chain.call(options, [loggerHandler, ...callbacks])
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return runOutputParser(res?.text, outputParser)
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return applyOutputParser(res?.text, outputParser)
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}
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} else if (seen.length === 1) {
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// If one inputVariable is not specify, use input (user's question) as value
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@@ -183,10 +162,10 @@ const runPrediction = async (
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if (isStreaming) {
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const handler = new CustomChainHandler(socketIO, socketIOClientId)
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const res = await chain.call(options, [loggerHandler, handler, ...callbacks])
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return runOutputParser(res?.text, outputParser)
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return applyOutputParser(res?.text, outputParser)
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} else {
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const res = await chain.call(options, [loggerHandler, ...callbacks])
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return runOutputParser(res?.text, outputParser)
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return applyOutputParser(res?.text, outputParser)
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}
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} else {
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throw new Error(`Please provide Prompt Values for: ${seen.join(', ')}`)
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@@ -195,26 +174,12 @@ const runPrediction = async (
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if (isStreaming) {
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const handler = new CustomChainHandler(socketIO, socketIOClientId)
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const res = await chain.run(input, [loggerHandler, handler, ...callbacks])
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return runOutputParser(res, outputParser)
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return applyOutputParser(res, outputParser)
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} else {
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const res = await chain.run(input, [loggerHandler, ...callbacks])
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return runOutputParser(res, outputParser)
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return applyOutputParser(res, outputParser)
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}
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}
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}
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const runOutputParser = async (response: string, outputParser: BaseOutputParser | undefined): Promise<string> => {
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if (outputParser) {
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const parsedResponse = await outputParser.parse(response)
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// eslint-disable-next-line no-console
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console.log('**** parsedResponse ****', parsedResponse)
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if (typeof parsedResponse === 'object') {
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return JSON.stringify(parsedResponse)
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} else {
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return parsedResponse as string
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}
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}
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return response
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}
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module.exports = { nodeClass: LLMChain_Chains }
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