mirror of https://github.com/FlowiseAI/Flowise.git
Merge pull request #1115 from vinodkiran/FEATURE/output-parsers
New Feature - Output Parserspull/1066/merge flowise-components@1.3.11
Henry Heng
GitHub
commit
dede259bb9
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@ -3,6 +3,10 @@ import { getBaseClasses, handleEscapeCharacters } 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 { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler'
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import { BaseOutputParser } from 'langchain/schema/output_parser'
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import { formatResponse, injectOutputParser } from '../../outputparsers/OutputParserHelpers'
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import { BaseLLMOutputParser } from 'langchain/schema/output_parser'
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import { OutputFixingParser } from 'langchain/output_parsers'
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class LLMChain_Chains implements INode {
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label: string
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@ -15,11 +19,12 @@ class LLMChain_Chains implements INode {
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description: string
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inputs: INodeParams[]
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outputs: INodeOutputsValue[]
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outputParser: BaseOutputParser
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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 = 1.0
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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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@ -36,6 +41,12 @@ class LLMChain_Chains implements INode {
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name: 'prompt',
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type: 'BasePromptTemplate'
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},
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{
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label: 'Output Parser',
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name: 'outputParser',
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type: 'BaseLLMOutputParser',
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optional: true
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},
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{
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label: 'Chain Name',
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name: 'chainName',
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@ -63,12 +74,29 @@ class LLMChain_Chains implements INode {
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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 promptValues = prompt.promptValues as ICommonObject
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const llmOutputParser = nodeData.inputs?.outputParser as BaseOutputParser
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this.outputParser = llmOutputParser
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if (llmOutputParser) {
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let autoFix = (llmOutputParser as any).autoFix
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if (autoFix === true) {
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this.outputParser = OutputFixingParser.fromLLM(model, llmOutputParser)
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}
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}
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if (output === this.name) {
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const chain = new LLMChain({ llm: model, prompt, verbose: process.env.DEBUG === 'true' ? true : false })
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const chain = new LLMChain({
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llm: model,
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outputParser: this.outputParser as BaseLLMOutputParser<string | object>,
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prompt,
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verbose: process.env.DEBUG === 'true'
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})
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return chain
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} else if (output === 'outputPrediction') {
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const chain = new LLMChain({ llm: model, prompt, verbose: process.env.DEBUG === 'true' ? true : false })
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const chain = new LLMChain({
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llm: model,
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outputParser: this.outputParser as BaseLLMOutputParser<string | object>,
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prompt,
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verbose: process.env.DEBUG === 'true'
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})
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const inputVariables = chain.prompt.inputVariables as string[] // ["product"]
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const res = await runPrediction(inputVariables, chain, input, promptValues, options, nodeData)
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// eslint-disable-next-line no-console
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@ -84,10 +112,15 @@ class LLMChain_Chains implements INode {
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}
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}
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async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
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async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string | object> {
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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 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 (!this.outputParser && outputParser) {
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this.outputParser = outputParser
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}
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promptValues = injectOutputParser(this.outputParser, chain, promptValues)
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const res = await runPrediction(inputVariables, chain, input, promptValues, options, nodeData)
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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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@ -99,9 +132,9 @@ class LLMChain_Chains implements INode {
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const runPrediction = async (
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inputVariables: string[],
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chain: LLMChain,
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chain: LLMChain<string | object>,
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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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) => {
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@ -135,10 +168,10 @@ 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 res?.text
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return formatResponse(res?.text)
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} else {
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const res = await chain.call(options, [loggerHandler, ...callbacks])
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return res?.text
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return formatResponse(res?.text)
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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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@ -151,10 +184,10 @@ 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 res?.text
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return formatResponse(res?.text)
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} else {
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const res = await chain.call(options, [loggerHandler, ...callbacks])
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return res?.text
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return formatResponse(res?.text)
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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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@ -163,10 +196,10 @@ 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.run(input, [loggerHandler, handler, ...callbacks])
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return res
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return formatResponse(res)
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} else {
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const res = await chain.run(input, [loggerHandler, ...callbacks])
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return res
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return formatResponse(res)
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}
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}
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}
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@ -0,0 +1,52 @@
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import { getBaseClasses, INode, INodeData, INodeParams } from '../../../src'
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import { BaseOutputParser } from 'langchain/schema/output_parser'
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import { CommaSeparatedListOutputParser } from 'langchain/output_parsers'
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import { CATEGORY } from '../OutputParserHelpers'
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class CSVListOutputParser implements INode {
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label: string
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name: string
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version: number
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description: 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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inputs: INodeParams[]
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credential: INodeParams
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constructor() {
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this.label = 'CSV Output Parser'
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this.name = 'csvOutputParser'
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this.version = 1.0
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this.type = 'CSVListOutputParser'
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this.description = 'Parse the output of an LLM call as a comma-separated list of values'
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this.icon = 'csv.png'
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this.category = CATEGORY
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this.baseClasses = [this.type, ...getBaseClasses(BaseOutputParser)]
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this.inputs = [
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{
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label: 'Autofix',
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name: 'autofixParser',
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type: 'boolean',
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optional: true,
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description: 'In the event that the first call fails, will make another call to the model to fix any errors.'
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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 autoFix = nodeData.inputs?.autofixParser as boolean
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const commaSeparatedListOutputParser = new CommaSeparatedListOutputParser()
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Object.defineProperty(commaSeparatedListOutputParser, 'autoFix', {
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enumerable: true,
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configurable: true,
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writable: true,
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value: autoFix
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})
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return commaSeparatedListOutputParser
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}
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}
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module.exports = { nodeClass: CSVListOutputParser }
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@ -0,0 +1,71 @@
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import { getBaseClasses, INode, INodeData, INodeParams } from '../../../src'
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import { BaseOutputParser } from 'langchain/schema/output_parser'
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import { CustomListOutputParser as LangchainCustomListOutputParser } from 'langchain/output_parsers'
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import { CATEGORY } from '../OutputParserHelpers'
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class CustomListOutputParser implements INode {
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label: string
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name: string
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version: number
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description: 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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inputs: INodeParams[]
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credential: INodeParams
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constructor() {
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this.label = 'Custom List Output Parser'
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this.name = 'customListOutputParser'
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this.version = 1.0
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this.type = 'CustomListOutputParser'
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this.description = 'Parse the output of an LLM call as a list of values.'
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this.icon = 'list.png'
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this.category = CATEGORY
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this.baseClasses = [this.type, ...getBaseClasses(BaseOutputParser)]
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this.inputs = [
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{
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label: 'Length',
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name: 'length',
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type: 'number',
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default: 5,
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step: 1,
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description: 'Number of values to return'
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},
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{
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label: 'Separator',
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name: 'separator',
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type: 'string',
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description: 'Separator between values',
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default: ','
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},
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{
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label: 'Autofix',
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name: 'autofixParser',
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type: 'boolean',
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optional: true,
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description: 'In the event that the first call fails, will make another call to the model to fix any errors.'
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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 separator = nodeData.inputs?.separator as string
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const lengthStr = nodeData.inputs?.length as string
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const autoFix = nodeData.inputs?.autofixParser as boolean
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let length = 5
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if (lengthStr) length = parseInt(lengthStr, 10)
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const parser = new LangchainCustomListOutputParser({ length: length, separator: separator })
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Object.defineProperty(parser, 'autoFix', {
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enumerable: true,
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configurable: true,
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writable: true,
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value: autoFix
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})
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return parser
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}
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}
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module.exports = { nodeClass: CustomListOutputParser }
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@ -0,0 +1,46 @@
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import { BaseOutputParser } from 'langchain/schema/output_parser'
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import { LLMChain } from 'langchain/chains'
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import { BaseLanguageModel } from 'langchain/base_language'
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import { ICommonObject } from '../../src'
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import { ChatPromptTemplate, FewShotPromptTemplate, PromptTemplate, SystemMessagePromptTemplate } from 'langchain/prompts'
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export const CATEGORY = 'Output Parsers'
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export const formatResponse = (response: string | object): string | object => {
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if (typeof response === 'object') {
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return { json: response }
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}
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return response
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}
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export const injectOutputParser = (
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outputParser: BaseOutputParser<unknown>,
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chain: LLMChain<string, BaseLanguageModel>,
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promptValues: ICommonObject | undefined = undefined
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) => {
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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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if (promptValues) {
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promptValues = { ...promptValues, format_instructions: outputParser.getFormatInstructions() }
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}
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}
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return promptValues
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}
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@ -0,0 +1,90 @@
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import { convertSchemaToZod, getBaseClasses, INode, INodeData, INodeParams } from '../../../src'
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import { BaseOutputParser } from 'langchain/schema/output_parser'
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import { StructuredOutputParser as LangchainStructuredOutputParser } from 'langchain/output_parsers'
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import { CATEGORY } from '../OutputParserHelpers'
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import { z } from 'zod'
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class StructuredOutputParser implements INode {
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label: string
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name: string
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version: number
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description: 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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inputs: INodeParams[]
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credential: INodeParams
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constructor() {
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this.label = 'Structured Output Parser'
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this.name = 'structuredOutputParser'
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this.version = 1.0
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this.type = 'StructuredOutputParser'
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this.description = 'Parse the output of an LLM call into a given (JSON) structure.'
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this.icon = 'structure.png'
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this.category = CATEGORY
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this.baseClasses = [this.type, ...getBaseClasses(BaseOutputParser)]
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this.inputs = [
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{
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label: 'Autofix',
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name: 'autofixParser',
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type: 'boolean',
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optional: true,
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description: 'In the event that the first call fails, will make another call to the model to fix any errors.'
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},
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{
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label: 'JSON Structure',
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name: 'jsonStructure',
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type: 'datagrid',
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description: 'JSON structure for LLM to return',
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datagrid: [
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{ field: 'property', headerName: 'Property', editable: true },
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{
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field: 'type',
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headerName: 'Type',
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type: 'singleSelect',
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valueOptions: ['string', 'number', 'boolean'],
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editable: true
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},
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{ field: 'description', headerName: 'Description', editable: true, flex: 1 }
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],
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default: [
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{
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property: 'answer',
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type: 'string',
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description: `answer to the user's question`
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},
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{
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property: 'source',
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type: 'string',
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description: `sources used to answer the question, should be websites`
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}
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],
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additionalParams: 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 jsonStructure = nodeData.inputs?.jsonStructure as string
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const autoFix = nodeData.inputs?.autofixParser as boolean
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try {
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const structuredOutputParser = LangchainStructuredOutputParser.fromZodSchema(z.object(convertSchemaToZod(jsonStructure)))
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// NOTE: When we change Flowise to return a json response, the following has to be changed to: JsonStructuredOutputParser
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Object.defineProperty(structuredOutputParser, 'autoFix', {
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enumerable: true,
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configurable: true,
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writable: true,
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value: autoFix
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})
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return structuredOutputParser
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} catch (exception) {
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throw new Error('Invalid JSON in StructuredOutputParser: ' + exception)
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}
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}
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}
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module.exports = { nodeClass: StructuredOutputParser }
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@ -1,5 +1,5 @@
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import { ICommonObject, IDatabaseEntity, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface'
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import { getBaseClasses } from '../../../src/utils'
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import { convertSchemaToZod, getBaseClasses } from '../../../src/utils'
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import { DynamicStructuredTool } from './core'
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import { z } from 'zod'
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import { DataSource } from 'typeorm'
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@ -87,26 +87,4 @@ class CustomTool_Tools implements INode {
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}
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}
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const convertSchemaToZod = (schema: string) => {
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try {
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const parsedSchema = JSON.parse(schema)
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const zodObj: any = {}
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for (const sch of parsedSchema) {
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if (sch.type === 'string') {
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if (sch.required) z.string({ required_error: `${sch.property} required` }).describe(sch.description)
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zodObj[sch.property] = z.string().describe(sch.description)
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} else if (sch.type === 'number') {
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if (sch.required) z.number({ required_error: `${sch.property} required` }).describe(sch.description)
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zodObj[sch.property] = z.number().describe(sch.description)
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} else if (sch.type === 'boolean') {
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if (sch.required) z.boolean({ required_error: `${sch.property} required` }).describe(sch.description)
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zodObj[sch.property] = z.boolean().describe(sch.description)
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}
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}
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return zodObj
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} catch (e) {
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throw new Error(e)
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}
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}
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module.exports = { nodeClass: CustomTool_Tools }
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|
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|
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@ -6,6 +6,7 @@ export type NodeParamsType =
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| 'asyncOptions'
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| 'options'
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| 'multiOptions'
|
||||
| 'datagrid'
|
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| 'string'
|
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| 'number'
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| 'boolean'
|
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|
|
@ -60,6 +61,7 @@ export interface INodeParams {
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description?: string
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warning?: string
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options?: Array<INodeOptionsValue>
|
||||
datagrid?: Array<ICommonObject>
|
||||
credentialNames?: Array<string>
|
||||
optional?: boolean | INodeDisplay
|
||||
step?: number
|
||||
|
|
|
|||
|
|
@ -3,6 +3,7 @@ import { load } from 'cheerio'
|
|||
import * as fs from 'fs'
|
||||
import * as path from 'path'
|
||||
import { JSDOM } from 'jsdom'
|
||||
import { z } from 'zod'
|
||||
import { DataSource } from 'typeorm'
|
||||
import { ICommonObject, IDatabaseEntity, IMessage, INodeData } from './Interface'
|
||||
import { AES, enc } from 'crypto-js'
|
||||
|
|
@ -132,6 +133,7 @@ export const getNodeModulesPackagePath = (packageName: string): string => {
|
|||
* @returns {boolean}
|
||||
*/
|
||||
export const getInputVariables = (paramValue: string): string[] => {
|
||||
if (typeof paramValue !== 'string') return []
|
||||
let returnVal = paramValue
|
||||
const variableStack = []
|
||||
const inputVariables = []
|
||||
|
|
@ -511,7 +513,7 @@ export const getUserHome = (): string => {
|
|||
|
||||
/**
|
||||
* Map incoming chat history to ChatMessageHistory
|
||||
* @param {options} ICommonObject
|
||||
* @param {ICommonObject} options
|
||||
* @returns {ChatMessageHistory}
|
||||
*/
|
||||
export const mapChatHistory = (options: ICommonObject): ChatMessageHistory => {
|
||||
|
|
@ -546,3 +548,30 @@ export const convertChatHistoryToText = (chatHistory: IMessage[] = []): string =
|
|||
})
|
||||
.join('\n')
|
||||
}
|
||||
|
||||
/**
|
||||
* Convert schema to zod schema
|
||||
* @param {string | object} schema
|
||||
* @returns {ICommonObject}
|
||||
*/
|
||||
export const convertSchemaToZod = (schema: string | object): ICommonObject => {
|
||||
try {
|
||||
const parsedSchema = typeof schema === 'string' ? JSON.parse(schema) : schema
|
||||
const zodObj: ICommonObject = {}
|
||||
for (const sch of parsedSchema) {
|
||||
if (sch.type === 'string') {
|
||||
if (sch.required) z.string({ required_error: `${sch.property} required` }).describe(sch.description)
|
||||
zodObj[sch.property] = z.string().describe(sch.description)
|
||||
} else if (sch.type === 'number') {
|
||||
if (sch.required) z.number({ required_error: `${sch.property} required` }).describe(sch.description)
|
||||
zodObj[sch.property] = z.number().describe(sch.description)
|
||||
} else if (sch.type === 'boolean') {
|
||||
if (sch.required) z.boolean({ required_error: `${sch.property} required` }).describe(sch.description)
|
||||
zodObj[sch.property] = z.boolean().describe(sch.description)
|
||||
}
|
||||
}
|
||||
return zodObj
|
||||
} catch (e) {
|
||||
throw new Error(e)
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -13,8 +13,8 @@
|
|||
"data": {
|
||||
"id": "fewShotPromptTemplate_1",
|
||||
"label": "Few Shot Prompt Template",
|
||||
"name": "fewShotPromptTemplate",
|
||||
"version": 1,
|
||||
"name": "fewShotPromptTemplate",
|
||||
"type": "FewShotPromptTemplate",
|
||||
"baseClasses": ["FewShotPromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
|
||||
"category": "Prompts",
|
||||
|
|
@ -115,8 +115,8 @@
|
|||
"data": {
|
||||
"id": "promptTemplate_0",
|
||||
"label": "Prompt Template",
|
||||
"name": "promptTemplate",
|
||||
"version": 1,
|
||||
"name": "promptTemplate",
|
||||
"type": "PromptTemplate",
|
||||
"baseClasses": ["PromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
|
||||
"category": "Prompts",
|
||||
|
|
@ -165,7 +165,7 @@
|
|||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 523,
|
||||
"height": 574,
|
||||
"id": "chatOpenAI_0",
|
||||
"position": {
|
||||
"x": 1226.7977900193628,
|
||||
|
|
@ -175,8 +175,8 @@
|
|||
"data": {
|
||||
"id": "chatOpenAI_0",
|
||||
"label": "ChatOpenAI",
|
||||
"name": "chatOpenAI",
|
||||
"version": 2,
|
||||
"name": "chatOpenAI",
|
||||
"type": "ChatOpenAI",
|
||||
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
|
||||
"category": "Chat Models",
|
||||
|
|
@ -327,20 +327,20 @@
|
|||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 405,
|
||||
"height": 456,
|
||||
"id": "llmChain_0",
|
||||
"position": {
|
||||
"x": 1573.7490072386481,
|
||||
"y": 429.1905949837192
|
||||
"x": 1609.3428158423485,
|
||||
"y": 409.3763727612179
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "llmChain_0",
|
||||
"label": "LLM Chain",
|
||||
"version": 3,
|
||||
"name": "llmChain",
|
||||
"version": 1,
|
||||
"type": "LLMChain",
|
||||
"baseClasses": ["LLMChain", "BaseChain"],
|
||||
"baseClasses": ["LLMChain", "BaseChain", "Runnable"],
|
||||
"category": "Chains",
|
||||
"description": "Chain to run queries against LLMs",
|
||||
"inputParams": [
|
||||
|
|
@ -365,11 +365,19 @@
|
|||
"name": "prompt",
|
||||
"type": "BasePromptTemplate",
|
||||
"id": "llmChain_0-input-prompt-BasePromptTemplate"
|
||||
},
|
||||
{
|
||||
"label": "Output Parser",
|
||||
"name": "outputParser",
|
||||
"type": "BaseLLMOutputParser",
|
||||
"optional": true,
|
||||
"id": "llmChain_0-input-outputParser-BaseLLMOutputParser"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"model": "{{chatOpenAI_0.data.instance}}",
|
||||
"prompt": "{{fewShotPromptTemplate_1.data.instance}}",
|
||||
"outputParser": "",
|
||||
"chainName": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
|
|
@ -379,10 +387,10 @@
|
|||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"id": "llmChain_0-output-llmChain-LLMChain|BaseChain",
|
||||
"id": "llmChain_0-output-llmChain-LLMChain|BaseChain|Runnable",
|
||||
"name": "llmChain",
|
||||
"label": "LLM Chain",
|
||||
"type": "LLMChain | BaseChain"
|
||||
"type": "LLMChain | BaseChain | Runnable"
|
||||
},
|
||||
{
|
||||
"id": "llmChain_0-output-outputPrediction-string|json",
|
||||
|
|
@ -401,8 +409,8 @@
|
|||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 1573.7490072386481,
|
||||
"y": 429.1905949837192
|
||||
"x": 1609.3428158423485,
|
||||
"y": 409.3763727612179
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,87 +1,6 @@
|
|||
{
|
||||
"description": "Simple LLM Chain using HuggingFace Inference API on falcon-7b-instruct model",
|
||||
"nodes": [
|
||||
{
|
||||
"width": 300,
|
||||
"height": 405,
|
||||
"id": "llmChain_1",
|
||||
"position": {
|
||||
"x": 970.9254258940236,
|
||||
"y": 320.56761595884564
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "llmChain_1",
|
||||
"label": "LLM Chain",
|
||||
"name": "llmChain",
|
||||
"version": 1,
|
||||
"type": "LLMChain",
|
||||
"baseClasses": ["LLMChain", "BaseChain", "BaseLangChain"],
|
||||
"category": "Chains",
|
||||
"description": "Chain to run queries against LLMs",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Chain Name",
|
||||
"name": "chainName",
|
||||
"type": "string",
|
||||
"placeholder": "Name Your Chain",
|
||||
"optional": true,
|
||||
"id": "llmChain_1-input-chainName-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Language Model",
|
||||
"name": "model",
|
||||
"type": "BaseLanguageModel",
|
||||
"id": "llmChain_1-input-model-BaseLanguageModel"
|
||||
},
|
||||
{
|
||||
"label": "Prompt",
|
||||
"name": "prompt",
|
||||
"type": "BasePromptTemplate",
|
||||
"id": "llmChain_1-input-prompt-BasePromptTemplate"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"model": "{{huggingFaceInference_LLMs_0.data.instance}}",
|
||||
"prompt": "{{promptTemplate_0.data.instance}}",
|
||||
"chainName": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"id": "llmChain_1-output-llmChain-LLMChain|BaseChain|BaseLangChain",
|
||||
"name": "llmChain",
|
||||
"label": "LLM Chain",
|
||||
"type": "LLMChain | BaseChain | BaseLangChain"
|
||||
},
|
||||
{
|
||||
"id": "llmChain_1-output-outputPrediction-string|json",
|
||||
"name": "outputPrediction",
|
||||
"label": "Output Prediction",
|
||||
"type": "string | json"
|
||||
}
|
||||
],
|
||||
"default": "llmChain"
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"output": "llmChain"
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
"positionAbsolute": {
|
||||
"x": 970.9254258940236,
|
||||
"y": 320.56761595884564
|
||||
},
|
||||
"selected": false,
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 475,
|
||||
|
|
@ -94,8 +13,8 @@
|
|||
"data": {
|
||||
"id": "promptTemplate_0",
|
||||
"label": "Prompt Template",
|
||||
"name": "promptTemplate",
|
||||
"version": 1,
|
||||
"name": "promptTemplate",
|
||||
"type": "PromptTemplate",
|
||||
"baseClasses": ["PromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
|
||||
"category": "Prompts",
|
||||
|
|
@ -144,7 +63,7 @@
|
|||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 526,
|
||||
"height": 577,
|
||||
"id": "huggingFaceInference_LLMs_0",
|
||||
"position": {
|
||||
"x": 498.8594464193537,
|
||||
|
|
@ -154,8 +73,8 @@
|
|||
"data": {
|
||||
"id": "huggingFaceInference_LLMs_0",
|
||||
"label": "HuggingFace Inference",
|
||||
"name": "huggingFaceInference_LLMs",
|
||||
"version": 2,
|
||||
"name": "huggingFaceInference_LLMs",
|
||||
"type": "HuggingFaceInference",
|
||||
"baseClasses": ["HuggingFaceInference", "LLM", "BaseLLM", "BaseLanguageModel"],
|
||||
"category": "LLMs",
|
||||
|
|
@ -267,27 +186,116 @@
|
|||
"y": -94.91050256311678
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 456,
|
||||
"id": "llmChain_0",
|
||||
"position": {
|
||||
"x": 909.6249320819859,
|
||||
"y": 338.9520801783737
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "llmChain_0",
|
||||
"label": "LLM Chain",
|
||||
"version": 3,
|
||||
"name": "llmChain",
|
||||
"type": "LLMChain",
|
||||
"baseClasses": ["LLMChain", "BaseChain", "Runnable"],
|
||||
"category": "Chains",
|
||||
"description": "Chain to run queries against LLMs",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Chain Name",
|
||||
"name": "chainName",
|
||||
"type": "string",
|
||||
"placeholder": "Name Your Chain",
|
||||
"optional": true,
|
||||
"id": "llmChain_0-input-chainName-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Language Model",
|
||||
"name": "model",
|
||||
"type": "BaseLanguageModel",
|
||||
"id": "llmChain_0-input-model-BaseLanguageModel"
|
||||
},
|
||||
{
|
||||
"label": "Prompt",
|
||||
"name": "prompt",
|
||||
"type": "BasePromptTemplate",
|
||||
"id": "llmChain_0-input-prompt-BasePromptTemplate"
|
||||
},
|
||||
{
|
||||
"label": "Output Parser",
|
||||
"name": "outputParser",
|
||||
"type": "BaseLLMOutputParser",
|
||||
"optional": true,
|
||||
"id": "llmChain_0-input-outputParser-BaseLLMOutputParser"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"model": "{{huggingFaceInference_LLMs_0.data.instance}}",
|
||||
"prompt": "{{promptTemplate_0.data.instance}}",
|
||||
"outputParser": "",
|
||||
"chainName": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"id": "llmChain_0-output-llmChain-LLMChain|BaseChain|Runnable",
|
||||
"name": "llmChain",
|
||||
"label": "LLM Chain",
|
||||
"type": "LLMChain | BaseChain | Runnable"
|
||||
},
|
||||
{
|
||||
"id": "llmChain_0-output-outputPrediction-string|json",
|
||||
"name": "outputPrediction",
|
||||
"label": "Output Prediction",
|
||||
"type": "string | json"
|
||||
}
|
||||
],
|
||||
"default": "llmChain"
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"output": "llmChain"
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 909.6249320819859,
|
||||
"y": 338.9520801783737
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "promptTemplate_0",
|
||||
"sourceHandle": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
|
||||
"target": "llmChain_1",
|
||||
"targetHandle": "llmChain_1-input-prompt-BasePromptTemplate",
|
||||
"source": "huggingFaceInference_LLMs_0",
|
||||
"sourceHandle": "huggingFaceInference_LLMs_0-output-huggingFaceInference_LLMs-HuggingFaceInference|LLM|BaseLLM|BaseLanguageModel",
|
||||
"target": "llmChain_0",
|
||||
"targetHandle": "llmChain_0-input-model-BaseLanguageModel",
|
||||
"type": "buttonedge",
|
||||
"id": "promptTemplate_0-promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate-llmChain_1-llmChain_1-input-prompt-BasePromptTemplate",
|
||||
"id": "huggingFaceInference_LLMs_0-huggingFaceInference_LLMs_0-output-huggingFaceInference_LLMs-HuggingFaceInference|LLM|BaseLLM|BaseLanguageModel-llmChain_0-llmChain_0-input-model-BaseLanguageModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "huggingFaceInference_LLMs_0",
|
||||
"sourceHandle": "huggingFaceInference_LLMs_0-output-huggingFaceInference_LLMs-HuggingFaceInference|LLM|BaseLLM|BaseLanguageModel",
|
||||
"target": "llmChain_1",
|
||||
"targetHandle": "llmChain_1-input-model-BaseLanguageModel",
|
||||
"source": "promptTemplate_0",
|
||||
"sourceHandle": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
|
||||
"target": "llmChain_0",
|
||||
"targetHandle": "llmChain_0-input-prompt-BasePromptTemplate",
|
||||
"type": "buttonedge",
|
||||
"id": "huggingFaceInference_LLMs_0-huggingFaceInference_LLMs_0-output-huggingFaceInference_LLMs-HuggingFaceInference|LLM|BaseLLM|BaseLanguageModel-llmChain_1-llmChain_1-input-model-BaseLanguageModel",
|
||||
"id": "promptTemplate_0-promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate-llmChain_0-llmChain_0-input-prompt-BasePromptTemplate",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
|
|
|
|||
|
|
@ -0,0 +1,417 @@
|
|||
{
|
||||
"description": "Return response as a list (array) instead of a string/text",
|
||||
"nodes": [
|
||||
{
|
||||
"width": 300,
|
||||
"height": 456,
|
||||
"id": "llmChain_0",
|
||||
"position": {
|
||||
"x": 1490.4252662385359,
|
||||
"y": 229.91198307750102
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "llmChain_0",
|
||||
"label": "LLM Chain",
|
||||
"version": 3,
|
||||
"name": "llmChain",
|
||||
"type": "LLMChain",
|
||||
"baseClasses": ["LLMChain", "BaseChain", "Runnable"],
|
||||
"category": "Chains",
|
||||
"description": "Chain to run queries against LLMs",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Chain Name",
|
||||
"name": "chainName",
|
||||
"type": "string",
|
||||
"placeholder": "Name Your Chain",
|
||||
"optional": true,
|
||||
"id": "llmChain_0-input-chainName-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Language Model",
|
||||
"name": "model",
|
||||
"type": "BaseLanguageModel",
|
||||
"id": "llmChain_0-input-model-BaseLanguageModel"
|
||||
},
|
||||
{
|
||||
"label": "Prompt",
|
||||
"name": "prompt",
|
||||
"type": "BasePromptTemplate",
|
||||
"id": "llmChain_0-input-prompt-BasePromptTemplate"
|
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{
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||||
"label": "PromptTemplate",
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||||
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||||
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||||
"credentialNames": ["openAIApi"],
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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"label": "gpt-3.5-turbo",
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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}
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||||
|
|
@ -659,168 +659,6 @@
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|||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
"model": "{{chatOpenAI_1.data.instance}}",
|
||||
"prompt": "{{chatPromptTemplate_0.data.instance}}",
|
||||
"chainName": "FinalResponse"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"id": "llmChain_1-output-llmChain-LLMChain|BaseChain|Runnable",
|
||||
"name": "llmChain",
|
||||
"label": "LLM Chain",
|
||||
"type": "LLMChain | BaseChain | Runnable"
|
||||
},
|
||||
{
|
||||
"id": "llmChain_1-output-outputPrediction-string|json",
|
||||
"name": "outputPrediction",
|
||||
"label": "Output Prediction",
|
||||
"type": "string | json"
|
||||
}
|
||||
],
|
||||
"default": "llmChain"
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"output": "llmChain"
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 2694.8707655351186,
|
||||
"y": -308.59150355411236
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 454,
|
||||
|
|
@ -870,7 +708,7 @@
|
|||
],
|
||||
"inputs": {
|
||||
"vectorStore": "{{pineconeExistingIndex_0.data.instance}}",
|
||||
"query": "{{llmChain_0.data.instance}}",
|
||||
"query": "{{llmChain_2.data.instance}}",
|
||||
"minScore": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
|
|
@ -906,6 +744,184 @@
|
|||
"y": -157.0046189166955
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 456,
|
||||
"id": "llmChain_2",
|
||||
"position": {
|
||||
"x": 756.2678342825631,
|
||||
"y": -244.07972550448233
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "llmChain_2",
|
||||
"label": "LLM Chain",
|
||||
"version": 3,
|
||||
"name": "llmChain",
|
||||
"type": "LLMChain",
|
||||
"baseClasses": ["LLMChain", "BaseChain", "Runnable"],
|
||||
"category": "Chains",
|
||||
"description": "Chain to run queries against LLMs",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Chain Name",
|
||||
"name": "chainName",
|
||||
"type": "string",
|
||||
"placeholder": "Name Your Chain",
|
||||
"optional": true,
|
||||
"id": "llmChain_2-input-chainName-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Language Model",
|
||||
"name": "model",
|
||||
"type": "BaseLanguageModel",
|
||||
"id": "llmChain_2-input-model-BaseLanguageModel"
|
||||
},
|
||||
{
|
||||
"label": "Prompt",
|
||||
"name": "prompt",
|
||||
"type": "BasePromptTemplate",
|
||||
"id": "llmChain_2-input-prompt-BasePromptTemplate"
|
||||
},
|
||||
{
|
||||
"label": "Output Parser",
|
||||
"name": "outputParser",
|
||||
"type": "BaseLLMOutputParser",
|
||||
"optional": true,
|
||||
"id": "llmChain_2-input-outputParser-BaseLLMOutputParser"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"model": "{{chatOpenAI_0.data.instance}}",
|
||||
"prompt": "{{promptTemplate_0.data.instance}}",
|
||||
"outputParser": "",
|
||||
"chainName": "RephraseQuestion"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"id": "llmChain_2-output-llmChain-LLMChain|BaseChain|Runnable",
|
||||
"name": "llmChain",
|
||||
"label": "LLM Chain",
|
||||
"type": "LLMChain | BaseChain | Runnable"
|
||||
},
|
||||
{
|
||||
"id": "llmChain_2-output-outputPrediction-string|json",
|
||||
"name": "outputPrediction",
|
||||
"label": "Output Prediction",
|
||||
"type": "string | json"
|
||||
}
|
||||
],
|
||||
"default": "llmChain"
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"output": "outputPrediction"
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 756.2678342825631,
|
||||
"y": -244.07972550448233
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 456,
|
||||
"id": "llmChain_1",
|
||||
"position": {
|
||||
"x": 2684.08901232628,
|
||||
"y": -301.4742415779482
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "llmChain_1",
|
||||
"label": "LLM Chain",
|
||||
"version": 3,
|
||||
"name": "llmChain",
|
||||
"type": "LLMChain",
|
||||
"baseClasses": ["LLMChain", "BaseChain", "Runnable"],
|
||||
"category": "Chains",
|
||||
"description": "Chain to run queries against LLMs",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Chain Name",
|
||||
"name": "chainName",
|
||||
"type": "string",
|
||||
"placeholder": "Name Your Chain",
|
||||
"optional": true,
|
||||
"id": "llmChain_1-input-chainName-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Language Model",
|
||||
"name": "model",
|
||||
"type": "BaseLanguageModel",
|
||||
"id": "llmChain_1-input-model-BaseLanguageModel"
|
||||
},
|
||||
{
|
||||
"label": "Prompt",
|
||||
"name": "prompt",
|
||||
"type": "BasePromptTemplate",
|
||||
"id": "llmChain_1-input-prompt-BasePromptTemplate"
|
||||
},
|
||||
{
|
||||
"label": "Output Parser",
|
||||
"name": "outputParser",
|
||||
"type": "BaseLLMOutputParser",
|
||||
"optional": true,
|
||||
"id": "llmChain_1-input-outputParser-BaseLLMOutputParser"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"model": "{{chatOpenAI_1.data.instance}}",
|
||||
"prompt": "{{chatPromptTemplate_0.data.instance}}",
|
||||
"outputParser": "",
|
||||
"chainName": "FinalResponse"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"id": "llmChain_1-output-llmChain-LLMChain|BaseChain|Runnable",
|
||||
"name": "llmChain",
|
||||
"label": "LLM Chain",
|
||||
"type": "LLMChain | BaseChain | Runnable"
|
||||
},
|
||||
{
|
||||
"id": "llmChain_1-output-outputPrediction-string|json",
|
||||
"name": "outputPrediction",
|
||||
"label": "Output Prediction",
|
||||
"type": "string | json"
|
||||
}
|
||||
],
|
||||
"default": "llmChain"
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"output": "llmChain"
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 2684.08901232628,
|
||||
"y": -301.4742415779482
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
|
|
@ -920,50 +936,6 @@
|
|||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "promptTemplate_0",
|
||||
"sourceHandle": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate|Runnable",
|
||||
"target": "llmChain_0",
|
||||
"targetHandle": "llmChain_0-input-prompt-BasePromptTemplate",
|
||||
"type": "buttonedge",
|
||||
"id": "promptTemplate_0-promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate|Runnable-llmChain_0-llmChain_0-input-prompt-BasePromptTemplate",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "chatOpenAI_0",
|
||||
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
|
||||
"target": "llmChain_0",
|
||||
"targetHandle": "llmChain_0-input-model-BaseLanguageModel",
|
||||
"type": "buttonedge",
|
||||
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-llmChain_0-llmChain_0-input-model-BaseLanguageModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "chatPromptTemplate_0",
|
||||
"sourceHandle": "chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate|Runnable",
|
||||
"target": "llmChain_1",
|
||||
"targetHandle": "llmChain_1-input-prompt-BasePromptTemplate",
|
||||
"type": "buttonedge",
|
||||
"id": "chatPromptTemplate_0-chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate|Runnable-llmChain_1-llmChain_1-input-prompt-BasePromptTemplate",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "chatOpenAI_1",
|
||||
"sourceHandle": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
|
||||
"target": "llmChain_1",
|
||||
"targetHandle": "llmChain_1-input-model-BaseLanguageModel",
|
||||
"type": "buttonedge",
|
||||
"id": "chatOpenAI_1-chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-llmChain_1-llmChain_1-input-model-BaseLanguageModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "pineconeExistingIndex_0",
|
||||
"sourceHandle": "pineconeExistingIndex_0-output-vectorStore-Pinecone|VectorStore",
|
||||
|
|
@ -987,12 +959,56 @@
|
|||
}
|
||||
},
|
||||
{
|
||||
"source": "llmChain_0",
|
||||
"sourceHandle": "llmChain_0-output-outputPrediction-string|json",
|
||||
"source": "chatOpenAI_0",
|
||||
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
|
||||
"target": "llmChain_2",
|
||||
"targetHandle": "llmChain_2-input-model-BaseLanguageModel",
|
||||
"type": "buttonedge",
|
||||
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-llmChain_2-llmChain_2-input-model-BaseLanguageModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "promptTemplate_0",
|
||||
"sourceHandle": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate|Runnable",
|
||||
"target": "llmChain_2",
|
||||
"targetHandle": "llmChain_2-input-prompt-BasePromptTemplate",
|
||||
"type": "buttonedge",
|
||||
"id": "promptTemplate_0-promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate|Runnable-llmChain_2-llmChain_2-input-prompt-BasePromptTemplate",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "llmChain_2",
|
||||
"sourceHandle": "llmChain_2-output-outputPrediction-string|json",
|
||||
"target": "vectorStoreToDocument_0",
|
||||
"targetHandle": "vectorStoreToDocument_0-input-query-string",
|
||||
"type": "buttonedge",
|
||||
"id": "llmChain_0-llmChain_0-output-outputPrediction-string|json-vectorStoreToDocument_0-vectorStoreToDocument_0-input-query-string",
|
||||
"id": "llmChain_2-llmChain_2-output-outputPrediction-string|json-vectorStoreToDocument_0-vectorStoreToDocument_0-input-query-string",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "chatOpenAI_1",
|
||||
"sourceHandle": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
|
||||
"target": "llmChain_1",
|
||||
"targetHandle": "llmChain_1-input-model-BaseLanguageModel",
|
||||
"type": "buttonedge",
|
||||
"id": "chatOpenAI_1-chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-llmChain_1-llmChain_1-input-model-BaseLanguageModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "chatPromptTemplate_0",
|
||||
"sourceHandle": "chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate|Runnable",
|
||||
"target": "llmChain_1",
|
||||
"targetHandle": "llmChain_1-input-prompt-BasePromptTemplate",
|
||||
"type": "buttonedge",
|
||||
"id": "chatPromptTemplate_0-chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate|Runnable-llmChain_1-llmChain_1-input-prompt-BasePromptTemplate",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
|
|
|
|||
|
|
@ -13,8 +13,8 @@
|
|||
"data": {
|
||||
"id": "promptTemplate_0",
|
||||
"label": "Prompt Template",
|
||||
"name": "promptTemplate",
|
||||
"version": 1,
|
||||
"name": "promptTemplate",
|
||||
"type": "PromptTemplate",
|
||||
"baseClasses": ["PromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
|
||||
"category": "Prompts",
|
||||
|
|
@ -73,8 +73,8 @@
|
|||
"data": {
|
||||
"id": "promptTemplate_1",
|
||||
"label": "Prompt Template",
|
||||
"name": "promptTemplate",
|
||||
"version": 1,
|
||||
"name": "promptTemplate",
|
||||
"type": "PromptTemplate",
|
||||
"baseClasses": ["PromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
|
||||
"category": "Prompts",
|
||||
|
|
@ -123,169 +123,7 @@
|
|||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 405,
|
||||
"id": "llmChain_0",
|
||||
"position": {
|
||||
"x": 1192.835706086358,
|
||||
"y": 367.49653955405995
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||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "llmChain_0",
|
||||
"label": "LLM Chain",
|
||||
"name": "llmChain",
|
||||
"version": 1,
|
||||
"type": "LLMChain",
|
||||
"baseClasses": ["LLMChain", "BaseChain"],
|
||||
"category": "Chains",
|
||||
"description": "Chain to run queries against LLMs",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Chain Name",
|
||||
"name": "chainName",
|
||||
"type": "string",
|
||||
"placeholder": "Name Your Chain",
|
||||
"optional": true,
|
||||
"id": "llmChain_0-input-chainName-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Language Model",
|
||||
"name": "model",
|
||||
"type": "BaseLanguageModel",
|
||||
"id": "llmChain_0-input-model-BaseLanguageModel"
|
||||
},
|
||||
{
|
||||
"label": "Prompt",
|
||||
"name": "prompt",
|
||||
"type": "BasePromptTemplate",
|
||||
"id": "llmChain_0-input-prompt-BasePromptTemplate"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"model": "{{openAI_1.data.instance}}",
|
||||
"prompt": "{{promptTemplate_0.data.instance}}",
|
||||
"chainName": "FirstChain"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"id": "llmChain_0-output-llmChain-LLMChain|BaseChain",
|
||||
"name": "llmChain",
|
||||
"label": "LLM Chain",
|
||||
"type": "LLMChain | BaseChain"
|
||||
},
|
||||
{
|
||||
"id": "llmChain_0-output-outputPrediction-string|json",
|
||||
"name": "outputPrediction",
|
||||
"label": "Output Prediction",
|
||||
"type": "string | json"
|
||||
}
|
||||
],
|
||||
"default": "llmChain"
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"output": "outputPrediction"
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 1192.835706086358,
|
||||
"y": 367.49653955405995
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 405,
|
||||
"id": "llmChain_1",
|
||||
"position": {
|
||||
"x": 1956.8236771865425,
|
||||
"y": 359.10696865911547
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "llmChain_1",
|
||||
"label": "LLM Chain",
|
||||
"name": "llmChain",
|
||||
"version": 1,
|
||||
"type": "LLMChain",
|
||||
"baseClasses": ["LLMChain", "BaseChain"],
|
||||
"category": "Chains",
|
||||
"description": "Chain to run queries against LLMs",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Chain Name",
|
||||
"name": "chainName",
|
||||
"type": "string",
|
||||
"placeholder": "Name Your Chain",
|
||||
"optional": true,
|
||||
"id": "llmChain_1-input-chainName-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Language Model",
|
||||
"name": "model",
|
||||
"type": "BaseLanguageModel",
|
||||
"id": "llmChain_1-input-model-BaseLanguageModel"
|
||||
},
|
||||
{
|
||||
"label": "Prompt",
|
||||
"name": "prompt",
|
||||
"type": "BasePromptTemplate",
|
||||
"id": "llmChain_1-input-prompt-BasePromptTemplate"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"model": "{{openAI_2.data.instance}}",
|
||||
"prompt": "{{promptTemplate_1.data.instance}}",
|
||||
"chainName": "LastChain"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"id": "llmChain_1-output-llmChain-LLMChain|BaseChain",
|
||||
"name": "llmChain",
|
||||
"label": "LLM Chain",
|
||||
"type": "LLMChain | BaseChain"
|
||||
},
|
||||
{
|
||||
"id": "llmChain_1-output-outputPrediction-string|json",
|
||||
"name": "outputPrediction",
|
||||
"label": "Output Prediction",
|
||||
"type": "string | json"
|
||||
}
|
||||
],
|
||||
"default": "llmChain"
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"output": "llmChain"
|
||||
},
|
||||
"selected": false
|
||||
},
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||||
"selected": false,
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||||
"positionAbsolute": {
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"x": 1956.8236771865425,
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||||
"y": 359.10696865911547
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 523,
|
||||
"height": 574,
|
||||
"id": "openAI_1",
|
||||
"position": {
|
||||
"x": 791.6102007244282,
|
||||
|
|
@ -295,8 +133,8 @@
|
|||
"data": {
|
||||
"id": "openAI_1",
|
||||
"label": "OpenAI",
|
||||
"name": "openAI",
|
||||
"version": 3,
|
||||
"name": "openAI",
|
||||
"type": "OpenAI",
|
||||
"baseClasses": ["OpenAI", "BaseLLM", "BaseLanguageModel"],
|
||||
"category": "LLMs",
|
||||
|
|
@ -445,18 +283,18 @@
|
|||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 523,
|
||||
"height": 574,
|
||||
"id": "openAI_2",
|
||||
"position": {
|
||||
"x": 1571.148617508543,
|
||||
"y": -90.372437481171687
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||||
"y": -90.37243748117169
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "openAI_2",
|
||||
"label": "OpenAI",
|
||||
"name": "openAI",
|
||||
"version": 3,
|
||||
"name": "openAI",
|
||||
"type": "OpenAI",
|
||||
"baseClasses": ["OpenAI", "BaseLLM", "BaseLanguageModel"],
|
||||
"category": "LLMs",
|
||||
|
|
@ -573,7 +411,6 @@
|
|||
"id": "openAI_2-input-cache-BaseCache"
|
||||
}
|
||||
],
|
||||
"default": "gpt-3.5-turbo-instruct",
|
||||
"inputs": {
|
||||
"modelName": "gpt-3.5-turbo-instruct",
|
||||
"temperature": 0.7,
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||||
|
|
@ -600,12 +437,201 @@
|
|||
"selected": false,
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||||
"y": -90.37243748117169
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},
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||||
"dragging": false
|
||||
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|
||||
{
|
||||
"width": 300,
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||||
"height": 456,
|
||||
"id": "llmChain_0",
|
||||
"position": {
|
||||
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|
||||
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|
||||
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|
||||
"type": "customNode",
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||||
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||||
"label": "LLM Chain",
|
||||
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|
||||
"name": "llmChain",
|
||||
"type": "LLMChain",
|
||||
"baseClasses": ["LLMChain", "BaseChain", "Runnable"],
|
||||
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|
||||
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||||
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|
||||
{
|
||||
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|
||||
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||||
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||||
"placeholder": "Name Your Chain",
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||||
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||||
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||||
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||||
{
|
||||
"label": "Language Model",
|
||||
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||||
"type": "BaseLanguageModel",
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||||
"id": "llmChain_0-input-model-BaseLanguageModel"
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||||
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{
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||||
"label": "Prompt",
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||||
"name": "prompt",
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||||
"type": "BasePromptTemplate",
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||||
"id": "llmChain_0-input-prompt-BasePromptTemplate"
|
||||
},
|
||||
{
|
||||
"label": "Output Parser",
|
||||
"name": "outputParser",
|
||||
"type": "BaseLLMOutputParser",
|
||||
"optional": true,
|
||||
"id": "llmChain_0-input-outputParser-BaseLLMOutputParser"
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||||
}
|
||||
],
|
||||
"inputs": {
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||||
"model": "{{openAI_1.data.instance}}",
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||||
"prompt": "{{promptTemplate_0.data.instance}}",
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||||
"outputParser": "",
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||||
"chainName": "FirstChain"
|
||||
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||||
"outputAnchors": [
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||||
{
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||||
"name": "output",
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||||
"label": "Output",
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||||
"type": "options",
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||||
"options": [
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{
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||||
"id": "llmChain_0-output-llmChain-LLMChain|BaseChain|Runnable",
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||||
"name": "llmChain",
|
||||
"label": "LLM Chain",
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||||
"type": "LLMChain | BaseChain | Runnable"
|
||||
},
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||||
{
|
||||
"id": "llmChain_0-output-outputPrediction-string|json",
|
||||
"name": "outputPrediction",
|
||||
"label": "Output Prediction",
|
||||
"type": "string | json"
|
||||
}
|
||||
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|
||||
"default": "llmChain"
|
||||
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||||
],
|
||||
"outputs": {
|
||||
"output": "outputPrediction"
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||||
},
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
{
|
||||
"width": 300,
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||||
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|
||||
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||||
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||||
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||||
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||||
"type": "customNode",
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||||
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||||
"id": "llmChain_1",
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||||
"label": "LLM Chain",
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||||
"version": 3,
|
||||
"name": "llmChain",
|
||||
"type": "LLMChain",
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||||
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|
||||
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|
||||
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||||
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||||
{
|
||||
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|
||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
{
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||||
"label": "Language Model",
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||||
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||||
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||||
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||||
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{
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||||
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||||
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||||
{
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"label": "Output Parser",
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||||
"name": "outputParser",
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||||
"type": "BaseLLMOutputParser",
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||||
"optional": true,
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||||
"id": "llmChain_1-input-outputParser-BaseLLMOutputParser"
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||||
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||||
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||||
"inputs": {
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"model": "{{openAI_2.data.instance}}",
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"prompt": "{{promptTemplate_1.data.instance}}",
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"chainName": "LastChain"
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||||
},
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||||
"outputAnchors": [
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{
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||||
"name": "output",
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||||
"label": "Output",
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||||
"type": "options",
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||||
"options": [
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{
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||||
"id": "llmChain_1-output-llmChain-LLMChain|BaseChain|Runnable",
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||||
"name": "llmChain",
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||||
"label": "LLM Chain",
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||||
"type": "LLMChain | BaseChain | Runnable"
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||||
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||||
{
|
||||
"id": "llmChain_1-output-outputPrediction-string|json",
|
||||
"name": "outputPrediction",
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||||
"label": "Output Prediction",
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||||
"type": "string | json"
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}
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"outputs": {
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"output": "llmChain"
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||||
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||||
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||||
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||||
"edges": [
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||||
{
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||||
"source": "openAI_1",
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||||
"sourceHandle": "openAI_1-output-openAI-OpenAI|BaseLLM|BaseLanguageModel",
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||||
"target": "llmChain_0",
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||||
"targetHandle": "llmChain_0-input-model-BaseLanguageModel",
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||||
"type": "buttonedge",
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||||
"id": "openAI_1-openAI_1-output-openAI-OpenAI|BaseLLM|BaseLanguageModel-llmChain_0-llmChain_0-input-model-BaseLanguageModel",
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||||
"data": {
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||||
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||||
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||||
},
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||||
{
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||||
"source": "promptTemplate_0",
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||||
"sourceHandle": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
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||||
|
|
@ -639,17 +665,6 @@
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|||
"label": ""
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},
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||||
{
|
||||
"source": "openAI_1",
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||||
"sourceHandle": "openAI_1-output-openAI-OpenAI|BaseLLM|BaseLanguageModel",
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||||
"target": "llmChain_0",
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||||
"targetHandle": "llmChain_0-input-model-BaseLanguageModel",
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||||
"type": "buttonedge",
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||||
"id": "openAI_1-openAI_1-output-openAI-OpenAI|BaseLLM|BaseLanguageModel-llmChain_0-llmChain_0-input-model-BaseLanguageModel",
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||||
"data": {
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"label": ""
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{
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"source": "openAI_2",
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||||
"sourceHandle": "openAI_2-output-openAI-OpenAI|BaseLLM|BaseLanguageModel",
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||||
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|
|
|||
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|
@ -3,88 +3,7 @@
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|||
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||||
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||||
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{
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||||
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||||
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||||
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{
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||||
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||||
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||||
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||||
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||||
"outputs": {
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||||
"output": "llmChain"
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||||
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||||
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{
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||||
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||||
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||||
"id": "promptTemplate_0",
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||||
"position": {
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||||
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||||
|
|
@ -144,7 +63,7 @@
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|||
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||||
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||||
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||||
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||||
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||||
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||||
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|
@ -260,27 +179,116 @@
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
"output": "llmChain"
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 1013.8484815418046,
|
||||
"y": 298.7146179121001
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "promptTemplate_0",
|
||||
"sourceHandle": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
|
||||
"target": "llmChain_1",
|
||||
"targetHandle": "llmChain_1-input-prompt-BasePromptTemplate",
|
||||
"source": "replicate_0",
|
||||
"sourceHandle": "replicate_0-output-replicate-Replicate|BaseChatModel|LLM|BaseLLM|BaseLanguageModel|Runnable",
|
||||
"target": "llmChain_0",
|
||||
"targetHandle": "llmChain_0-input-model-BaseLanguageModel",
|
||||
"type": "buttonedge",
|
||||
"id": "promptTemplate_0-promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate-llmChain_1-llmChain_1-input-prompt-BasePromptTemplate",
|
||||
"id": "replicate_0-replicate_0-output-replicate-Replicate|BaseChatModel|LLM|BaseLLM|BaseLanguageModel|Runnable-llmChain_0-llmChain_0-input-model-BaseLanguageModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "replicate_0",
|
||||
"sourceHandle": "replicate_0-output-replicate-Replicate|BaseChatModel|LLM|BaseLLM|BaseLanguageModel|Runnable",
|
||||
"target": "llmChain_1",
|
||||
"targetHandle": "llmChain_1-input-model-BaseLanguageModel",
|
||||
"source": "promptTemplate_0",
|
||||
"sourceHandle": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
|
||||
"target": "llmChain_0",
|
||||
"targetHandle": "llmChain_0-input-prompt-BasePromptTemplate",
|
||||
"type": "buttonedge",
|
||||
"id": "replicate_0-replicate_0-output-replicate-Replicate|BaseChatModel|LLM|BaseLLM|BaseLanguageModel|Runnable-llmChain_1-llmChain_1-input-model-BaseLanguageModel",
|
||||
"id": "promptTemplate_0-promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate-llmChain_0-llmChain_0-input-prompt-BasePromptTemplate",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,87 +1,6 @@
|
|||
{
|
||||
"description": "Basic example of stateless (no memory) LLM Chain with a Prompt Template and LLM Model",
|
||||
"nodes": [
|
||||
{
|
||||
"width": 300,
|
||||
"height": 405,
|
||||
"id": "llmChain_1",
|
||||
"position": {
|
||||
"x": 970.9254258940236,
|
||||
"y": 320.56761595884564
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "llmChain_1",
|
||||
"label": "LLM Chain",
|
||||
"name": "llmChain",
|
||||
"version": 1,
|
||||
"type": "LLMChain",
|
||||
"baseClasses": ["LLMChain", "BaseChain", "BaseLangChain"],
|
||||
"category": "Chains",
|
||||
"description": "Chain to run queries against LLMs",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Chain Name",
|
||||
"name": "chainName",
|
||||
"type": "string",
|
||||
"placeholder": "Name Your Chain",
|
||||
"optional": true,
|
||||
"id": "llmChain_1-input-chainName-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Language Model",
|
||||
"name": "model",
|
||||
"type": "BaseLanguageModel",
|
||||
"id": "llmChain_1-input-model-BaseLanguageModel"
|
||||
},
|
||||
{
|
||||
"label": "Prompt",
|
||||
"name": "prompt",
|
||||
"type": "BasePromptTemplate",
|
||||
"id": "llmChain_1-input-prompt-BasePromptTemplate"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"model": "{{openAI_0.data.instance}}",
|
||||
"prompt": "{{promptTemplate_0.data.instance}}",
|
||||
"chainName": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"id": "llmChain_1-output-llmChain-LLMChain|BaseChain|BaseLangChain",
|
||||
"name": "llmChain",
|
||||
"label": "LLM Chain",
|
||||
"type": "LLMChain | BaseChain | BaseLangChain"
|
||||
},
|
||||
{
|
||||
"id": "llmChain_1-output-outputPrediction-string|json",
|
||||
"name": "outputPrediction",
|
||||
"label": "Output Prediction",
|
||||
"type": "string | json"
|
||||
}
|
||||
],
|
||||
"default": "llmChain"
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"output": "llmChain"
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
"positionAbsolute": {
|
||||
"x": 970.9254258940236,
|
||||
"y": 320.56761595884564
|
||||
},
|
||||
"selected": false,
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 475,
|
||||
|
|
@ -94,8 +13,8 @@
|
|||
"data": {
|
||||
"id": "promptTemplate_0",
|
||||
"label": "Prompt Template",
|
||||
"name": "promptTemplate",
|
||||
"version": 1,
|
||||
"name": "promptTemplate",
|
||||
"type": "PromptTemplate",
|
||||
"baseClasses": ["PromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
|
||||
"category": "Prompts",
|
||||
|
|
@ -144,7 +63,7 @@
|
|||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 523,
|
||||
"height": 574,
|
||||
"id": "openAI_0",
|
||||
"position": {
|
||||
"x": 513.3297923232442,
|
||||
|
|
@ -154,8 +73,8 @@
|
|||
"data": {
|
||||
"id": "openAI_0",
|
||||
"label": "OpenAI",
|
||||
"name": "openAI",
|
||||
"version": 3,
|
||||
"name": "openAI",
|
||||
"type": "OpenAI",
|
||||
"baseClasses": ["OpenAI", "BaseLLM", "BaseLanguageModel"],
|
||||
"category": "LLMs",
|
||||
|
|
@ -301,27 +220,116 @@
|
|||
"y": -112.67554802812833
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 456,
|
||||
"id": "llmChain_0",
|
||||
"position": {
|
||||
"x": 919.263534910828,
|
||||
"y": 318.465734712124
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "llmChain_0",
|
||||
"label": "LLM Chain",
|
||||
"version": 3,
|
||||
"name": "llmChain",
|
||||
"type": "LLMChain",
|
||||
"baseClasses": ["LLMChain", "BaseChain", "Runnable"],
|
||||
"category": "Chains",
|
||||
"description": "Chain to run queries against LLMs",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Chain Name",
|
||||
"name": "chainName",
|
||||
"type": "string",
|
||||
"placeholder": "Name Your Chain",
|
||||
"optional": true,
|
||||
"id": "llmChain_0-input-chainName-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Language Model",
|
||||
"name": "model",
|
||||
"type": "BaseLanguageModel",
|
||||
"id": "llmChain_0-input-model-BaseLanguageModel"
|
||||
},
|
||||
{
|
||||
"label": "Prompt",
|
||||
"name": "prompt",
|
||||
"type": "BasePromptTemplate",
|
||||
"id": "llmChain_0-input-prompt-BasePromptTemplate"
|
||||
},
|
||||
{
|
||||
"label": "Output Parser",
|
||||
"name": "outputParser",
|
||||
"type": "BaseLLMOutputParser",
|
||||
"optional": true,
|
||||
"id": "llmChain_0-input-outputParser-BaseLLMOutputParser"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"model": "{{openAI_0.data.instance}}",
|
||||
"prompt": "{{promptTemplate_0.data.instance}}",
|
||||
"outputParser": "",
|
||||
"chainName": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"id": "llmChain_0-output-llmChain-LLMChain|BaseChain|Runnable",
|
||||
"name": "llmChain",
|
||||
"label": "LLM Chain",
|
||||
"type": "LLMChain | BaseChain | Runnable"
|
||||
},
|
||||
{
|
||||
"id": "llmChain_0-output-outputPrediction-string|json",
|
||||
"name": "outputPrediction",
|
||||
"label": "Output Prediction",
|
||||
"type": "string | json"
|
||||
}
|
||||
],
|
||||
"default": "llmChain"
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"output": "llmChain"
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 919.263534910828,
|
||||
"y": 318.465734712124
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "promptTemplate_0",
|
||||
"sourceHandle": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
|
||||
"target": "llmChain_1",
|
||||
"targetHandle": "llmChain_1-input-prompt-BasePromptTemplate",
|
||||
"source": "openAI_0",
|
||||
"sourceHandle": "openAI_0-output-openAI-OpenAI|BaseLLM|BaseLanguageModel",
|
||||
"target": "llmChain_0",
|
||||
"targetHandle": "llmChain_0-input-model-BaseLanguageModel",
|
||||
"type": "buttonedge",
|
||||
"id": "promptTemplate_0-promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate-llmChain_1-llmChain_1-input-prompt-BasePromptTemplate",
|
||||
"id": "openAI_0-openAI_0-output-openAI-OpenAI|BaseLLM|BaseLanguageModel-llmChain_0-llmChain_0-input-model-BaseLanguageModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "openAI_0",
|
||||
"sourceHandle": "openAI_0-output-openAI-OpenAI|BaseLLM|BaseLanguageModel",
|
||||
"target": "llmChain_1",
|
||||
"targetHandle": "llmChain_1-input-model-BaseLanguageModel",
|
||||
"source": "promptTemplate_0",
|
||||
"sourceHandle": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
|
||||
"target": "llmChain_0",
|
||||
"targetHandle": "llmChain_0-input-prompt-BasePromptTemplate",
|
||||
"type": "buttonedge",
|
||||
"id": "openAI_0-openAI_0-output-openAI-OpenAI|BaseLLM|BaseLanguageModel-llmChain_1-llmChain_1-input-model-BaseLanguageModel",
|
||||
"id": "promptTemplate_0-promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate-llmChain_0-llmChain_0-input-prompt-BasePromptTemplate",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
|
|
|
|||
|
|
@ -0,0 +1,477 @@
|
|||
{
|
||||
"description": "Return response as a specified JSON structure instead of a string/text",
|
||||
"nodes": [
|
||||
{
|
||||
"width": 300,
|
||||
"height": 574,
|
||||
"id": "chatOpenAI_0",
|
||||
"position": {
|
||||
"x": 845.3961479115309,
|
||||
"y": -205.74401580699953
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "chatOpenAI_0",
|
||||
"label": "ChatOpenAI",
|
||||
"version": 2,
|
||||
"name": "chatOpenAI",
|
||||
"type": "ChatOpenAI",
|
||||
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
|
||||
"category": "Chat Models",
|
||||
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Connect Credential",
|
||||
"name": "credential",
|
||||
"type": "credential",
|
||||
"credentialNames": ["openAIApi"],
|
||||
"id": "chatOpenAI_0-input-credential-credential"
|
||||
},
|
||||
{
|
||||
"label": "Model Name",
|
||||
"name": "modelName",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"label": "gpt-4",
|
||||
"name": "gpt-4"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-0613",
|
||||
"name": "gpt-4-0613"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-32k",
|
||||
"name": "gpt-4-32k"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-32k-0613",
|
||||
"name": "gpt-4-32k-0613"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo",
|
||||
"name": "gpt-3.5-turbo"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-0613",
|
||||
"name": "gpt-3.5-turbo-0613"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-16k",
|
||||
"name": "gpt-3.5-turbo-16k"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-16k-0613",
|
||||
"name": "gpt-3.5-turbo-16k-0613"
|
||||
}
|
||||
],
|
||||
"default": "gpt-3.5-turbo",
|
||||
"optional": true,
|
||||
"id": "chatOpenAI_0-input-modelName-options"
|
||||
},
|
||||
{
|
||||
"label": "Temperature",
|
||||
"name": "temperature",
|
||||
"type": "number",
|
||||
"step": 0.1,
|
||||
"default": 0.9,
|
||||
"optional": true,
|
||||
"id": "chatOpenAI_0-input-temperature-number"
|
||||
},
|
||||
{
|
||||
"label": "Max Tokens",
|
||||
"name": "maxTokens",
|
||||
"type": "number",
|
||||
"step": 1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-maxTokens-number"
|
||||
},
|
||||
{
|
||||
"label": "Top Probability",
|
||||
"name": "topP",
|
||||
"type": "number",
|
||||
"step": 0.1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-topP-number"
|
||||
},
|
||||
{
|
||||
"label": "Frequency Penalty",
|
||||
"name": "frequencyPenalty",
|
||||
"type": "number",
|
||||
"step": 0.1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-frequencyPenalty-number"
|
||||
},
|
||||
{
|
||||
"label": "Presence Penalty",
|
||||
"name": "presencePenalty",
|
||||
"type": "number",
|
||||
"step": 0.1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-presencePenalty-number"
|
||||
},
|
||||
{
|
||||
"label": "Timeout",
|
||||
"name": "timeout",
|
||||
"type": "number",
|
||||
"step": 1,
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-timeout-number"
|
||||
},
|
||||
{
|
||||
"label": "BasePath",
|
||||
"name": "basepath",
|
||||
"type": "string",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-basepath-string"
|
||||
},
|
||||
{
|
||||
"label": "BaseOptions",
|
||||
"name": "baseOptions",
|
||||
"type": "json",
|
||||
"optional": true,
|
||||
"additionalParams": true,
|
||||
"id": "chatOpenAI_0-input-baseOptions-json"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Cache",
|
||||
"name": "cache",
|
||||
"type": "BaseCache",
|
||||
"optional": true,
|
||||
"id": "chatOpenAI_0-input-cache-BaseCache"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"cache": "",
|
||||
"modelName": "gpt-3.5-turbo",
|
||||
"temperature": "0",
|
||||
"maxTokens": "",
|
||||
"topP": "",
|
||||
"frequencyPenalty": "",
|
||||
"presencePenalty": "",
|
||||
"timeout": "",
|
||||
"basepath": "",
|
||||
"baseOptions": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
|
||||
"name": "chatOpenAI",
|
||||
"label": "ChatOpenAI",
|
||||
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | Runnable"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 845.3961479115309,
|
||||
"y": -205.74401580699953
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 456,
|
||||
"id": "llmChain_0",
|
||||
"position": {
|
||||
"x": 1229.1699649849293,
|
||||
"y": 245.55173505632646
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "llmChain_0",
|
||||
"label": "LLM Chain",
|
||||
"version": 3,
|
||||
"name": "llmChain",
|
||||
"type": "LLMChain",
|
||||
"baseClasses": ["LLMChain", "BaseChain", "Runnable"],
|
||||
"category": "Chains",
|
||||
"description": "Chain to run queries against LLMs",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Chain Name",
|
||||
"name": "chainName",
|
||||
"type": "string",
|
||||
"placeholder": "Name Your Chain",
|
||||
"optional": true,
|
||||
"id": "llmChain_0-input-chainName-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Language Model",
|
||||
"name": "model",
|
||||
"type": "BaseLanguageModel",
|
||||
"id": "llmChain_0-input-model-BaseLanguageModel"
|
||||
},
|
||||
{
|
||||
"label": "Prompt",
|
||||
"name": "prompt",
|
||||
"type": "BasePromptTemplate",
|
||||
"id": "llmChain_0-input-prompt-BasePromptTemplate"
|
||||
},
|
||||
{
|
||||
"label": "Output Parser",
|
||||
"name": "outputParser",
|
||||
"type": "BaseLLMOutputParser",
|
||||
"optional": true,
|
||||
"id": "llmChain_0-input-outputParser-BaseLLMOutputParser"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"model": "{{chatOpenAI_0.data.instance}}",
|
||||
"prompt": "{{chatPromptTemplate_0.data.instance}}",
|
||||
"outputParser": "{{structuredOutputParser_0.data.instance}}",
|
||||
"chainName": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"id": "llmChain_0-output-llmChain-LLMChain|BaseChain|Runnable",
|
||||
"name": "llmChain",
|
||||
"label": "LLM Chain",
|
||||
"type": "LLMChain | BaseChain | Runnable"
|
||||
},
|
||||
{
|
||||
"id": "llmChain_0-output-outputPrediction-string|json",
|
||||
"name": "outputPrediction",
|
||||
"label": "Output Prediction",
|
||||
"type": "string | json"
|
||||
}
|
||||
],
|
||||
"default": "llmChain"
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"output": "llmChain"
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
"positionAbsolute": {
|
||||
"x": 1229.1699649849293,
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||||
"y": 245.55173505632646
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 652,
|
||||
"id": "chatPromptTemplate_0",
|
||||
"position": {
|
||||
"x": 501.1597501123828,
|
||||
"y": -154.43917602832562
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "chatPromptTemplate_0",
|
||||
"label": "Chat Prompt Template",
|
||||
"version": 1,
|
||||
"name": "chatPromptTemplate",
|
||||
"type": "ChatPromptTemplate",
|
||||
"baseClasses": ["ChatPromptTemplate", "BaseChatPromptTemplate", "BasePromptTemplate", "Runnable"],
|
||||
"category": "Prompts",
|
||||
"description": "Schema to represent a chat prompt",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "System Message",
|
||||
"name": "systemMessagePrompt",
|
||||
"type": "string",
|
||||
"rows": 4,
|
||||
"placeholder": "You are a helpful assistant that translates {input_language} to {output_language}.",
|
||||
"id": "chatPromptTemplate_0-input-systemMessagePrompt-string"
|
||||
},
|
||||
{
|
||||
"label": "Human Message",
|
||||
"name": "humanMessagePrompt",
|
||||
"type": "string",
|
||||
"rows": 4,
|
||||
"placeholder": "{text}",
|
||||
"id": "chatPromptTemplate_0-input-humanMessagePrompt-string"
|
||||
},
|
||||
{
|
||||
"label": "Format Prompt Values",
|
||||
"name": "promptValues",
|
||||
"type": "json",
|
||||
"optional": true,
|
||||
"acceptVariable": true,
|
||||
"list": true,
|
||||
"id": "chatPromptTemplate_0-input-promptValues-json"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"systemMessagePrompt": "Answer user's question as best you can",
|
||||
"humanMessagePrompt": "{text}",
|
||||
"promptValues": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate|Runnable",
|
||||
"name": "chatPromptTemplate",
|
||||
"label": "ChatPromptTemplate",
|
||||
"type": "ChatPromptTemplate | BaseChatPromptTemplate | BasePromptTemplate | Runnable"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 501.1597501123828,
|
||||
"y": -154.43917602832562
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 328,
|
||||
"id": "structuredOutputParser_0",
|
||||
"position": {
|
||||
"x": 170.3869571939727,
|
||||
"y": 343.9298288967859
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "structuredOutputParser_0",
|
||||
"label": "Structured Output Parser",
|
||||
"version": 1,
|
||||
"name": "structuredOutputParser",
|
||||
"type": "StructuredOutputParser",
|
||||
"baseClasses": ["StructuredOutputParser", "BaseLLMOutputParser", "Runnable"],
|
||||
"category": "Output Parsers",
|
||||
"description": "Parse the output of an LLM call into a given (JSON) structure.",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Autofix",
|
||||
"name": "autofixParser",
|
||||
"type": "boolean",
|
||||
"optional": true,
|
||||
"description": "In the event that the first call fails, will make another call to the model to fix any errors.",
|
||||
"id": "structuredOutputParser_0-input-autofixParser-boolean"
|
||||
},
|
||||
{
|
||||
"label": "JSON Structure",
|
||||
"name": "jsonStructure",
|
||||
"type": "datagrid",
|
||||
"description": "JSON structure for LLM to return",
|
||||
"datagrid": [
|
||||
{
|
||||
"field": "property",
|
||||
"headerName": "Property",
|
||||
"editable": true
|
||||
},
|
||||
{
|
||||
"field": "type",
|
||||
"headerName": "Type",
|
||||
"type": "singleSelect",
|
||||
"valueOptions": ["string", "number", "boolean"],
|
||||
"editable": true
|
||||
},
|
||||
{
|
||||
"field": "description",
|
||||
"headerName": "Description",
|
||||
"editable": true,
|
||||
"flex": 1
|
||||
}
|
||||
],
|
||||
"default": [
|
||||
{
|
||||
"property": "answer",
|
||||
"type": "string",
|
||||
"description": "answer to the user's question"
|
||||
},
|
||||
{
|
||||
"property": "source",
|
||||
"type": "string",
|
||||
"description": "sources used to answer the question, should be websites"
|
||||
}
|
||||
],
|
||||
"additionalParams": true,
|
||||
"id": "structuredOutputParser_0-input-jsonStructure-datagrid"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"autofixParser": true,
|
||||
"jsonStructure": [
|
||||
{
|
||||
"property": "answer",
|
||||
"type": "string",
|
||||
"description": "answer to the user's question"
|
||||
},
|
||||
{
|
||||
"property": "source",
|
||||
"type": "string",
|
||||
"description": "sources used to answer the question, should be websites"
|
||||
}
|
||||
]
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "structuredOutputParser_0-output-structuredOutputParser-StructuredOutputParser|BaseLLMOutputParser|Runnable",
|
||||
"name": "structuredOutputParser",
|
||||
"label": "StructuredOutputParser",
|
||||
"type": "StructuredOutputParser | BaseLLMOutputParser | Runnable"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 170.3869571939727,
|
||||
"y": 343.9298288967859
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "chatOpenAI_0",
|
||||
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
|
||||
"target": "llmChain_0",
|
||||
"targetHandle": "llmChain_0-input-model-BaseLanguageModel",
|
||||
"type": "buttonedge",
|
||||
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-llmChain_0-llmChain_0-input-model-BaseLanguageModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "chatPromptTemplate_0",
|
||||
"sourceHandle": "chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate|Runnable",
|
||||
"target": "llmChain_0",
|
||||
"targetHandle": "llmChain_0-input-prompt-BasePromptTemplate",
|
||||
"type": "buttonedge",
|
||||
"id": "chatPromptTemplate_0-chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate|Runnable-llmChain_0-llmChain_0-input-prompt-BasePromptTemplate",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "structuredOutputParser_0",
|
||||
"sourceHandle": "structuredOutputParser_0-output-structuredOutputParser-StructuredOutputParser|BaseLLMOutputParser|Runnable",
|
||||
"target": "llmChain_0",
|
||||
"targetHandle": "llmChain_0-input-outputParser-BaseLLMOutputParser",
|
||||
"type": "buttonedge",
|
||||
"id": "structuredOutputParser_0-structuredOutputParser_0-output-structuredOutputParser-StructuredOutputParser|BaseLLMOutputParser|Runnable-llmChain_0-llmChain_0-input-outputParser-BaseLLMOutputParser",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
|
|
@ -1,87 +1,6 @@
|
|||
{
|
||||
"description": "Language translation using LLM Chain with a Chat Prompt Template and Chat Model",
|
||||
"nodes": [
|
||||
{
|
||||
"width": 300,
|
||||
"height": 405,
|
||||
"id": "llmChain_1",
|
||||
"position": {
|
||||
"x": 865.7775572410412,
|
||||
"y": 543.9211372857111
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "llmChain_1",
|
||||
"label": "LLM Chain",
|
||||
"name": "llmChain",
|
||||
"version": 1,
|
||||
"type": "LLMChain",
|
||||
"baseClasses": ["LLMChain", "BaseChain", "BaseLangChain"],
|
||||
"category": "Chains",
|
||||
"description": "Chain to run queries against LLMs",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Chain Name",
|
||||
"name": "chainName",
|
||||
"type": "string",
|
||||
"placeholder": "Name Your Chain",
|
||||
"optional": true,
|
||||
"id": "llmChain_1-input-chainName-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Language Model",
|
||||
"name": "model",
|
||||
"type": "BaseLanguageModel",
|
||||
"id": "llmChain_1-input-model-BaseLanguageModel"
|
||||
},
|
||||
{
|
||||
"label": "Prompt",
|
||||
"name": "prompt",
|
||||
"type": "BasePromptTemplate",
|
||||
"id": "llmChain_1-input-prompt-BasePromptTemplate"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"model": "{{chatOpenAI_0.data.instance}}",
|
||||
"prompt": "{{chatPromptTemplate_0.data.instance}}",
|
||||
"chainName": "Language Translation"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"id": "llmChain_1-output-llmChain-LLMChain|BaseChain|BaseLangChain",
|
||||
"name": "llmChain",
|
||||
"label": "LLM Chain",
|
||||
"type": "LLMChain | BaseChain | BaseLangChain"
|
||||
},
|
||||
{
|
||||
"id": "llmChain_1-output-outputPrediction-string|json",
|
||||
"name": "outputPrediction",
|
||||
"label": "Output Prediction",
|
||||
"type": "string | json"
|
||||
}
|
||||
],
|
||||
"default": "llmChain"
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"output": "llmChain"
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 865.7775572410412,
|
||||
"y": 543.9211372857111
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||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 652,
|
||||
|
|
@ -94,8 +13,8 @@
|
|||
"data": {
|
||||
"id": "chatPromptTemplate_0",
|
||||
"label": "Chat Prompt Template",
|
||||
"name": "chatPromptTemplate",
|
||||
"version": 1,
|
||||
"name": "chatPromptTemplate",
|
||||
"type": "ChatPromptTemplate",
|
||||
"baseClasses": ["ChatPromptTemplate", "BaseChatPromptTemplate", "BasePromptTemplate"],
|
||||
"category": "Prompts",
|
||||
|
|
@ -153,7 +72,7 @@
|
|||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 523,
|
||||
"height": 574,
|
||||
"id": "chatOpenAI_0",
|
||||
"position": {
|
||||
"x": 436.97058562345904,
|
||||
|
|
@ -163,8 +82,8 @@
|
|||
"data": {
|
||||
"id": "chatOpenAI_0",
|
||||
"label": "ChatOpenAI",
|
||||
"name": "chatOpenAI",
|
||||
"version": 2,
|
||||
"name": "chatOpenAI",
|
||||
"type": "ChatOpenAI",
|
||||
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
|
||||
"category": "Chat Models",
|
||||
|
|
@ -312,27 +231,116 @@
|
|||
"y": 29.96180150605153
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 456,
|
||||
"id": "llmChain_0",
|
||||
"position": {
|
||||
"x": 836.089121144244,
|
||||
"y": 510.07109938359963
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "llmChain_0",
|
||||
"label": "LLM Chain",
|
||||
"version": 3,
|
||||
"name": "llmChain",
|
||||
"type": "LLMChain",
|
||||
"baseClasses": ["LLMChain", "BaseChain", "Runnable"],
|
||||
"category": "Chains",
|
||||
"description": "Chain to run queries against LLMs",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Chain Name",
|
||||
"name": "chainName",
|
||||
"type": "string",
|
||||
"placeholder": "Name Your Chain",
|
||||
"optional": true,
|
||||
"id": "llmChain_0-input-chainName-string"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Language Model",
|
||||
"name": "model",
|
||||
"type": "BaseLanguageModel",
|
||||
"id": "llmChain_0-input-model-BaseLanguageModel"
|
||||
},
|
||||
{
|
||||
"label": "Prompt",
|
||||
"name": "prompt",
|
||||
"type": "BasePromptTemplate",
|
||||
"id": "llmChain_0-input-prompt-BasePromptTemplate"
|
||||
},
|
||||
{
|
||||
"label": "Output Parser",
|
||||
"name": "outputParser",
|
||||
"type": "BaseLLMOutputParser",
|
||||
"optional": true,
|
||||
"id": "llmChain_0-input-outputParser-BaseLLMOutputParser"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"model": "{{chatOpenAI_0.data.instance}}",
|
||||
"prompt": "{{chatPromptTemplate_0.data.instance}}",
|
||||
"outputParser": "",
|
||||
"chainName": "Language Translation"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"name": "output",
|
||||
"label": "Output",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"id": "llmChain_0-output-llmChain-LLMChain|BaseChain|Runnable",
|
||||
"name": "llmChain",
|
||||
"label": "LLM Chain",
|
||||
"type": "LLMChain | BaseChain | Runnable"
|
||||
},
|
||||
{
|
||||
"id": "llmChain_0-output-outputPrediction-string|json",
|
||||
"name": "outputPrediction",
|
||||
"label": "Output Prediction",
|
||||
"type": "string | json"
|
||||
}
|
||||
],
|
||||
"default": "llmChain"
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"output": "llmChain"
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"dragging": false,
|
||||
"positionAbsolute": {
|
||||
"x": 836.089121144244,
|
||||
"y": 510.07109938359963
|
||||
}
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
{
|
||||
"source": "chatPromptTemplate_0",
|
||||
"sourceHandle": "chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate",
|
||||
"target": "llmChain_1",
|
||||
"targetHandle": "llmChain_1-input-prompt-BasePromptTemplate",
|
||||
"source": "chatOpenAI_0",
|
||||
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
|
||||
"target": "llmChain_0",
|
||||
"targetHandle": "llmChain_0-input-model-BaseLanguageModel",
|
||||
"type": "buttonedge",
|
||||
"id": "chatPromptTemplate_0-chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate-llmChain_1-llmChain_1-input-prompt-BasePromptTemplate",
|
||||
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-llmChain_0-llmChain_0-input-model-BaseLanguageModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "chatOpenAI_0",
|
||||
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
|
||||
"target": "llmChain_1",
|
||||
"targetHandle": "llmChain_1-input-model-BaseLanguageModel",
|
||||
"source": "chatPromptTemplate_0",
|
||||
"sourceHandle": "chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate",
|
||||
"target": "llmChain_0",
|
||||
"targetHandle": "llmChain_0-input-prompt-BasePromptTemplate",
|
||||
"type": "buttonedge",
|
||||
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-llmChain_1-llmChain_1-input-model-BaseLanguageModel",
|
||||
"id": "chatPromptTemplate_0-chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate-llmChain_0-llmChain_0-input-prompt-BasePromptTemplate",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1145,9 +1145,14 @@ export class App {
|
|||
}
|
||||
await this.addChatMessage(userMessage)
|
||||
|
||||
let resultText = ''
|
||||
if (result.text) resultText = result.text
|
||||
else if (result.json) resultText = '```json\n' + JSON.stringify(result.json, null, 2)
|
||||
else resultText = JSON.stringify(result, null, 2)
|
||||
|
||||
const apiMessage: Omit<IChatMessage, 'id' | 'createdDate'> = {
|
||||
role: 'apiMessage',
|
||||
content: result.text,
|
||||
content: resultText,
|
||||
chatflowid,
|
||||
chatType: isInternal ? chatType.INTERNAL : chatType.EXTERNAL,
|
||||
chatId,
|
||||
|
|
|
|||
|
|
@ -841,7 +841,16 @@ export const isFlowValidForStream = (reactFlowNodes: IReactFlowNode[], endingNod
|
|||
isValidChainOrAgent = whitelistAgents.includes(endingNodeData.name)
|
||||
}
|
||||
|
||||
return isChatOrLLMsExist && isValidChainOrAgent
|
||||
// If no output parser, flow is available to stream
|
||||
let isOutputParserExist = false
|
||||
for (const flowNode of reactFlowNodes) {
|
||||
const data = flowNode.data
|
||||
if (data.category.includes('Output Parser')) {
|
||||
isOutputParserExist = true
|
||||
}
|
||||
}
|
||||
|
||||
return isChatOrLLMsExist && isValidChainOrAgent && !isOutputParserExist
|
||||
}
|
||||
|
||||
/**
|
||||
|
|
|
|||
|
|
@ -0,0 +1,111 @@
|
|||
import PropTypes from 'prop-types'
|
||||
import { useState, useCallback } from 'react'
|
||||
import { DataGrid as MUIDataGrid, GridActionsCellItem } from '@mui/x-data-grid'
|
||||
import { IconPlus } from '@tabler/icons'
|
||||
import { Button } from '@mui/material'
|
||||
import DeleteIcon from '@mui/icons-material/Delete'
|
||||
import { cloneDeep } from 'lodash'
|
||||
import { formatDataGridRows } from 'utils/genericHelper'
|
||||
|
||||
export const DataGrid = ({ columns, rows, style, disabled = false, hideFooter = false, onChange }) => {
|
||||
const [rowValues, setRowValues] = useState(formatDataGridRows(rows) ?? [])
|
||||
|
||||
const deleteItem = useCallback(
|
||||
(id) => () => {
|
||||
let updatedRows = []
|
||||
setRowValues((prevRows) => {
|
||||
let allRows = [...cloneDeep(prevRows)]
|
||||
allRows = allRows.filter((row) => row.id !== id)
|
||||
updatedRows = allRows
|
||||
return allRows
|
||||
})
|
||||
onChange(JSON.stringify(updatedRows))
|
||||
},
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||||
[]
|
||||
)
|
||||
|
||||
const addCols = (columns) => {
|
||||
return [
|
||||
...columns,
|
||||
{
|
||||
field: 'actions',
|
||||
type: 'actions',
|
||||
width: 80,
|
||||
getActions: (params) => [
|
||||
<GridActionsCellItem key={'Delete'} icon={<DeleteIcon />} label='Delete' onClick={deleteItem(params.id)} />
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
const colValues = addCols(columns)
|
||||
|
||||
const handleProcessRowUpdate = (newRow) => {
|
||||
let updatedRows = []
|
||||
setRowValues((prevRows) => {
|
||||
let allRows = [...cloneDeep(prevRows)]
|
||||
const indexToUpdate = allRows.findIndex((row) => row.id === newRow.id)
|
||||
if (indexToUpdate >= 0) {
|
||||
allRows[indexToUpdate] = { ...newRow }
|
||||
}
|
||||
updatedRows = allRows
|
||||
return allRows
|
||||
})
|
||||
onChange(JSON.stringify(updatedRows))
|
||||
return newRow
|
||||
}
|
||||
|
||||
const getEmptyJsonObj = () => {
|
||||
const obj = {}
|
||||
for (let i = 0; i < colValues.length; i += 1) {
|
||||
obj[colValues[i]?.field] = ''
|
||||
}
|
||||
return obj
|
||||
}
|
||||
|
||||
const addNewRow = () => {
|
||||
setRowValues((prevRows) => {
|
||||
let allRows = [...cloneDeep(prevRows)]
|
||||
const lastRowId = allRows.length ? allRows[allRows.length - 1].id + 1 : 1
|
||||
allRows.push({
|
||||
...getEmptyJsonObj(),
|
||||
id: lastRowId
|
||||
})
|
||||
return allRows
|
||||
})
|
||||
}
|
||||
|
||||
return (
|
||||
<>
|
||||
{rowValues && colValues && (
|
||||
<div style={{ marginTop: 10, height: 210, width: '100%', ...style }}>
|
||||
<MUIDataGrid
|
||||
processRowUpdate={handleProcessRowUpdate}
|
||||
isCellEditable={() => {
|
||||
return !disabled
|
||||
}}
|
||||
hideFooter={hideFooter}
|
||||
onProcessRowUpdateError={(error) => console.error(error)}
|
||||
rows={rowValues}
|
||||
columns={colValues}
|
||||
/>
|
||||
</div>
|
||||
)}
|
||||
{!disabled && (
|
||||
<Button sx={{ mt: 1 }} variant='outlined' onClick={addNewRow} startIcon={<IconPlus />}>
|
||||
Add Item
|
||||
</Button>
|
||||
)}
|
||||
</>
|
||||
)
|
||||
}
|
||||
|
||||
DataGrid.propTypes = {
|
||||
rows: PropTypes.array,
|
||||
columns: PropTypes.array,
|
||||
style: PropTypes.any,
|
||||
disabled: PropTypes.bool,
|
||||
hideFooter: PropTypes.bool,
|
||||
onChange: PropTypes.func
|
||||
}
|
||||
|
|
@ -43,6 +43,7 @@ export const initNode = (nodeData, newNodeId) => {
|
|||
'asyncOptions',
|
||||
'options',
|
||||
'multiOptions',
|
||||
'datagrid',
|
||||
'string',
|
||||
'number',
|
||||
'boolean',
|
||||
|
|
@ -439,3 +440,17 @@ export const isValidURL = (url) => {
|
|||
return undefined
|
||||
}
|
||||
}
|
||||
|
||||
export const formatDataGridRows = (rows) => {
|
||||
try {
|
||||
const parsedRows = typeof rows === 'string' ? JSON.parse(rows) : rows
|
||||
return parsedRows.map((sch, index) => {
|
||||
return {
|
||||
...sch,
|
||||
id: index
|
||||
}
|
||||
})
|
||||
} catch (e) {
|
||||
return []
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -14,6 +14,7 @@ import { Dropdown } from 'ui-component/dropdown/Dropdown'
|
|||
import { MultiDropdown } from 'ui-component/dropdown/MultiDropdown'
|
||||
import { AsyncDropdown } from 'ui-component/dropdown/AsyncDropdown'
|
||||
import { Input } from 'ui-component/input/Input'
|
||||
import { DataGrid } from 'ui-component/grid/DataGrid'
|
||||
import { File } from 'ui-component/file/File'
|
||||
import { SwitchInput } from 'ui-component/switch/Switch'
|
||||
import { flowContext } from 'store/context/ReactFlowContext'
|
||||
|
|
@ -258,6 +259,15 @@ const NodeInputHandler = ({ inputAnchor, inputParam, data, disabled = false, isA
|
|||
value={data.inputs[inputParam.name] ?? inputParam.default ?? false}
|
||||
/>
|
||||
)}
|
||||
{inputParam.type === 'datagrid' && (
|
||||
<DataGrid
|
||||
disabled={disabled}
|
||||
columns={inputParam.datagrid}
|
||||
hideFooter={true}
|
||||
rows={data.inputs[inputParam.name] ?? JSON.stringify(inputParam.default) ?? []}
|
||||
onChange={(newValue) => (data.inputs[inputParam.name] = newValue)}
|
||||
/>
|
||||
)}
|
||||
{(inputParam.type === 'string' || inputParam.type === 'password' || inputParam.type === 'number') && (
|
||||
<Input
|
||||
key={data.inputs[inputParam.name]}
|
||||
|
|
|
|||
|
|
@ -125,16 +125,20 @@ export const ChatMessage = ({ open, chatflowid, isDialog }) => {
|
|||
const response = await predictionApi.sendMessageAndGetPrediction(chatflowid, params)
|
||||
|
||||
if (response.data) {
|
||||
let data = response.data
|
||||
|
||||
const data = response.data
|
||||
if (!chatId) {
|
||||
setChatId(data.chatId)
|
||||
localStorage.setItem(`${chatflowid}_INTERNAL`, data.chatId)
|
||||
}
|
||||
if (!isChatFlowAvailableToStream) {
|
||||
let text = ''
|
||||
if (data.text) text = data.text
|
||||
else if (data.json) text = '```json\n' + JSON.stringify(data.json, null, 2)
|
||||
else text = JSON.stringify(data, null, 2)
|
||||
|
||||
setMessages((prevMessages) => [
|
||||
...prevMessages,
|
||||
{ message: data.text, sourceDocuments: data?.sourceDocuments, type: 'apiMessage' }
|
||||
{ message: text, sourceDocuments: data?.sourceDocuments, type: 'apiMessage' }
|
||||
])
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -28,7 +28,7 @@ import useApi from 'hooks/useApi'
|
|||
|
||||
// utils
|
||||
import useNotifier from 'utils/useNotifier'
|
||||
import { generateRandomGradient } from 'utils/genericHelper'
|
||||
import { generateRandomGradient, formatDataGridRows } from 'utils/genericHelper'
|
||||
import { HIDE_CANVAS_DIALOG, SHOW_CANVAS_DIALOG } from 'store/actions'
|
||||
|
||||
const exampleAPIFunc = `/*
|
||||
|
|
@ -142,20 +142,6 @@ const ToolDialog = ({ show, dialogProps, onUseTemplate, onCancel, onConfirm }) =
|
|||
[deleteItem]
|
||||
)
|
||||
|
||||
const formatSchema = (schema) => {
|
||||
try {
|
||||
const parsedSchema = JSON.parse(schema)
|
||||
return parsedSchema.map((sch, index) => {
|
||||
return {
|
||||
...sch,
|
||||
id: index
|
||||
}
|
||||
})
|
||||
} catch (e) {
|
||||
return []
|
||||
}
|
||||
}
|
||||
|
||||
useEffect(() => {
|
||||
if (show) dispatch({ type: SHOW_CANVAS_DIALOG })
|
||||
else dispatch({ type: HIDE_CANVAS_DIALOG })
|
||||
|
|
@ -167,7 +153,7 @@ const ToolDialog = ({ show, dialogProps, onUseTemplate, onCancel, onConfirm }) =
|
|||
setToolId(getSpecificToolApi.data.id)
|
||||
setToolName(getSpecificToolApi.data.name)
|
||||
setToolDesc(getSpecificToolApi.data.description)
|
||||
setToolSchema(formatSchema(getSpecificToolApi.data.schema))
|
||||
setToolSchema(formatDataGridRows(getSpecificToolApi.data.schema))
|
||||
if (getSpecificToolApi.data.func) setToolFunc(getSpecificToolApi.data.func)
|
||||
else setToolFunc('')
|
||||
}
|
||||
|
|
@ -180,7 +166,7 @@ const ToolDialog = ({ show, dialogProps, onUseTemplate, onCancel, onConfirm }) =
|
|||
setToolName(dialogProps.data.name)
|
||||
setToolDesc(dialogProps.data.description)
|
||||
setToolIcon(dialogProps.data.iconSrc)
|
||||
setToolSchema(formatSchema(dialogProps.data.schema))
|
||||
setToolSchema(formatDataGridRows(dialogProps.data.schema))
|
||||
if (dialogProps.data.func) setToolFunc(dialogProps.data.func)
|
||||
else setToolFunc('')
|
||||
} else if (dialogProps.type === 'EDIT' && dialogProps.toolId) {
|
||||
|
|
@ -191,7 +177,7 @@ const ToolDialog = ({ show, dialogProps, onUseTemplate, onCancel, onConfirm }) =
|
|||
setToolName(dialogProps.data.name)
|
||||
setToolDesc(dialogProps.data.description)
|
||||
setToolIcon(dialogProps.data.iconSrc)
|
||||
setToolSchema(formatSchema(dialogProps.data.schema))
|
||||
setToolSchema(formatDataGridRows(dialogProps.data.schema))
|
||||
if (dialogProps.data.func) setToolFunc(dialogProps.data.func)
|
||||
else setToolFunc('')
|
||||
} else if (dialogProps.type === 'TEMPLATE' && dialogProps.data) {
|
||||
|
|
@ -199,7 +185,7 @@ const ToolDialog = ({ show, dialogProps, onUseTemplate, onCancel, onConfirm }) =
|
|||
setToolName(dialogProps.data.name)
|
||||
setToolDesc(dialogProps.data.description)
|
||||
setToolIcon(dialogProps.data.iconSrc)
|
||||
setToolSchema(formatSchema(dialogProps.data.schema))
|
||||
setToolSchema(formatDataGridRows(dialogProps.data.schema))
|
||||
if (dialogProps.data.func) setToolFunc(dialogProps.data.func)
|
||||
else setToolFunc('')
|
||||
} else if (dialogProps.type === 'ADD') {
|
||||
|
|
|
|||
Loading…
Reference in New Issue