New Feature - Output Parsers

This commit is contained in:
vinodkiran
2023-10-23 13:16:12 +05:30
parent 26898a2230
commit 4654f69951
7 changed files with 227 additions and 10 deletions
@@ -3,6 +3,8 @@ import { getBaseClasses, handleEscapeCharacters } from '../../../src/utils'
import { LLMChain } from 'langchain/chains'
import { BaseLanguageModel } from 'langchain/base_language'
import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler'
import { BaseOutputParser } from 'langchain/schema/output_parser'
import { ChatPromptTemplate, PromptTemplate, SystemMessagePromptTemplate } from 'langchain/prompts'
class LLMChain_Chains implements INode {
label: string
@@ -19,7 +21,7 @@ class LLMChain_Chains implements INode {
constructor() {
this.label = 'LLM Chain'
this.name = 'llmChain'
this.version = 1.0
this.version = 2.0
this.type = 'LLMChain'
this.icon = 'chain.svg'
this.category = 'Chains'
@@ -36,6 +38,12 @@ class LLMChain_Chains implements INode {
name: 'prompt',
type: 'BasePromptTemplate'
},
{
label: 'Output Parser',
name: 'outputParser',
type: 'BaseLLMOutputParser',
optional: true
},
{
label: 'Chain Name',
name: 'chainName',
@@ -87,8 +95,35 @@ class LLMChain_Chains implements INode {
async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
const inputVariables = nodeData.instance.prompt.inputVariables as string[] // ["product"]
const chain = nodeData.instance as LLMChain
const promptValues = nodeData.inputs?.prompt.promptValues as ICommonObject
const res = await runPrediction(inputVariables, chain, input, promptValues, options, nodeData)
let promptValues = nodeData.inputs?.prompt.promptValues as ICommonObject
const outputParser = nodeData.inputs?.outputParser as BaseOutputParser
if (outputParser && chain.prompt) {
const formatInstructions = outputParser.getFormatInstructions()
chain.prompt.inputVariables.push('format_instructions')
if (chain.prompt instanceof PromptTemplate) {
let pt = chain.prompt
pt.template = pt.template + '\n{format_instructions}'
chain.prompt.partialVariables = { format_instructions: formatInstructions }
// eslint-disable-next-line no-console
console.log('prompt :: ', chain.prompt)
} else if (chain.prompt instanceof ChatPromptTemplate) {
let pt = chain.prompt
pt.promptMessages.forEach((msg) => {
if (msg instanceof SystemMessagePromptTemplate) {
;(msg.prompt as any).partialVariables = { format_instructions: outputParser.getFormatInstructions() }
;(msg.prompt as any).template = ((msg.prompt as any).template + '\n{format_instructions}') as string
// eslint-disable-next-line no-console
console.log(msg)
}
})
//pt.template = pt.template + '\n{format_instructions}'
}
promptValues = { ...promptValues, format_instructions: outputParser.getFormatInstructions() }
// eslint-disable-next-line no-console
console.log('promptValues :: ', promptValues)
}
const res = await runPrediction(inputVariables, chain, input, promptValues, options, nodeData, outputParser)
// eslint-disable-next-line no-console
console.log('\x1b[93m\x1b[1m\n*****FINAL RESULT*****\n\x1b[0m\x1b[0m')
// eslint-disable-next-line no-console
@@ -103,7 +138,8 @@ const runPrediction = async (
input: string,
promptValuesRaw: ICommonObject,
options: ICommonObject,
nodeData: INodeData
nodeData: INodeData,
outputParser: BaseOutputParser | undefined = undefined
) => {
const loggerHandler = new ConsoleCallbackHandler(options.logger)
const callbacks = await additionalCallbacks(nodeData, options)
@@ -135,10 +171,10 @@ const runPrediction = async (
if (isStreaming) {
const handler = new CustomChainHandler(socketIO, socketIOClientId)
const res = await chain.call(options, [loggerHandler, handler, ...callbacks])
return res?.text
return runOutputParser(res?.text, outputParser)
} else {
const res = await chain.call(options, [loggerHandler, ...callbacks])
return res?.text
return runOutputParser(res?.text, outputParser)
}
} else if (seen.length === 1) {
// If one inputVariable is not specify, use input (user's question) as value
@@ -151,10 +187,10 @@ const runPrediction = async (
if (isStreaming) {
const handler = new CustomChainHandler(socketIO, socketIOClientId)
const res = await chain.call(options, [loggerHandler, handler, ...callbacks])
return res?.text
return runOutputParser(res?.text, outputParser)
} else {
const res = await chain.call(options, [loggerHandler, ...callbacks])
return res?.text
return runOutputParser(res?.text, outputParser)
}
} else {
throw new Error(`Please provide Prompt Values for: ${seen.join(', ')}`)
@@ -163,12 +199,26 @@ const runPrediction = async (
if (isStreaming) {
const handler = new CustomChainHandler(socketIO, socketIOClientId)
const res = await chain.run(input, [loggerHandler, handler, ...callbacks])
return res
return runOutputParser(res, outputParser)
} else {
const res = await chain.run(input, [loggerHandler, ...callbacks])
return res
return runOutputParser(res, outputParser)
}
}
}
const runOutputParser = async (response: string, outputParser: BaseOutputParser | undefined): Promise<string> => {
if (outputParser) {
const parsedResponse = await outputParser.parse(response)
// eslint-disable-next-line no-console
console.log('**** parsedResponse ****', parsedResponse)
if (typeof parsedResponse === 'object') {
return JSON.stringify(parsedResponse)
} else {
return parsedResponse as string
}
}
return response
}
module.exports = { nodeClass: LLMChain_Chains }
@@ -0,0 +1,35 @@
import { getBaseClasses, ICommonObject, INode, INodeData, INodeParams } from '../../../src'
import { BaseOutputParser } from 'langchain/schema/output_parser'
import { CommaSeparatedListOutputParser } from 'langchain/output_parsers'
class CSVListOutputParser implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
inputs: INodeParams[]
credential: INodeParams
constructor() {
this.label = 'CSV Output Parser'
this.name = 'csvOutputParser'
this.version = 1.0
this.type = 'CSVListOutputParser'
this.description = 'Parse the output of an LLM call as a comma-separated list of values'
this.icon = 'csv.png'
this.category = 'Output Parser'
this.baseClasses = [this.type, ...getBaseClasses(BaseOutputParser)]
this.inputs = []
}
// eslint-disable-next-line unused-imports/no-unused-vars
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
return new CommaSeparatedListOutputParser()
}
}
module.exports = { nodeClass: CSVListOutputParser }
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@@ -0,0 +1,55 @@
import { getBaseClasses, ICommonObject, INode, INodeData, INodeParams } from '../../../src'
import { BaseOutputParser } from 'langchain/schema/output_parser'
import { CustomListOutputParser as LangchainCustomListOutputParser } from 'langchain/output_parsers'
class CustomListOutputParser implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
inputs: INodeParams[]
credential: INodeParams
constructor() {
this.label = 'Custom List Output Parser'
this.name = 'customListOutputParser'
this.version = 1.0
this.type = 'CustomListOutputParser'
this.description = 'Parse the output of an LLM call as a list of values.'
this.icon = 'list.png'
this.category = 'Output Parser'
this.baseClasses = [this.type, ...getBaseClasses(BaseOutputParser)]
this.inputs = [
{
label: 'Length',
name: 'length',
type: 'number',
default: 5,
step: 1,
description: 'Number of values to return'
},
{
label: 'Separator',
name: 'separator',
type: 'string',
description: 'Separator between values',
default: ','
}
]
}
// eslint-disable-next-line unused-imports/no-unused-vars
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const separator = nodeData.inputs?.separator as string
const lengthStr = nodeData.inputs?.length as string
let length = 5
if (lengthStr) length = parseInt(lengthStr, 10)
return new LangchainCustomListOutputParser({ length: length, separator: separator })
}
}
module.exports = { nodeClass: CustomListOutputParser }
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@@ -0,0 +1,77 @@
import { getBaseClasses, ICommonObject, INode, INodeData, INodeParams } from '../../../src'
import { BaseOutputParser } from 'langchain/schema/output_parser'
import { StructuredOutputParser as LangchainStructuredOutputParser } from 'langchain/output_parsers'
class StructuredOutputParser implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
inputs: INodeParams[]
credential: INodeParams
constructor() {
this.label = 'Structured Output Parser'
this.name = 'structuredOutputParser'
this.version = 1.0
this.type = 'StructuredOutputParser'
this.description = 'Parse the output of an LLM call into a given (JSON) structure.'
this.icon = 'structure.png'
this.category = 'Output Parser'
this.baseClasses = [this.type, ...getBaseClasses(BaseOutputParser)]
this.inputs = [
{
label: 'Structure Type',
name: 'structureType',
type: 'options',
options: [
{
label: 'Names And Descriptions',
name: 'fromNamesAndDescriptions'
},
{
label: 'Zod Schema',
name: 'fromZodSchema'
}
],
default: 'fromNamesAndDescriptions'
},
{
label: 'Structure',
name: 'structure',
type: 'string',
rows: 4,
placeholder:
'{' +
' answer: "answer to the question",\n' +
' source: "source used to answer the question, should be a website.",\n' +
'}'
}
]
}
// eslint-disable-next-line unused-imports/no-unused-vars
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const structureType = nodeData.inputs?.structureType as string
const structure = nodeData.inputs?.structure as string
let parsedStructure: any | undefined = undefined
if (structure) {
try {
parsedStructure = JSON.parse(structure)
} catch (exception) {
throw new Error('Invalid JSON in StructuredOutputParser: ' + exception)
}
}
if (structureType === 'fromZodSchema') {
return LangchainStructuredOutputParser.fromZodSchema(parsedStructure)
} else {
return LangchainStructuredOutputParser.fromNamesAndDescriptions(parsedStructure)
}
}
}
module.exports = { nodeClass: StructuredOutputParser }
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