Merge branch 'main' of github.com:0xi4o/Flowise into feature/chat-message-feedback

This commit is contained in:
Ilango
2024-03-05 14:07:32 +05:30
15 changed files with 255 additions and 128 deletions
@@ -0,0 +1,23 @@
import { INodeParams, INodeCredential } from '../src/Interface'
class GroqApi implements INodeCredential {
label: string
name: string
version: number
inputs: INodeParams[]
constructor() {
this.label = 'Groq API'
this.name = 'groqApi'
this.version = 1.0
this.inputs = [
{
label: 'Groq Api Key',
name: 'groqApiKey',
type: 'password'
}
]
}
}
module.exports = { credClass: GroqApi }
@@ -1,17 +1,17 @@
import { flatten } from 'lodash'
import { AgentExecutor } from 'langchain/agents'
import { pull } from 'langchain/hub'
import { HumanMessage } from '@langchain/core/messages'
import { ChatPromptTemplate, HumanMessagePromptTemplate } from '@langchain/core/prompts'
import { Tool } from '@langchain/core/tools'
import type { PromptTemplate } from '@langchain/core/prompts'
import { BaseChatModel } from '@langchain/core/language_models/chat_models'
import { pull } from 'langchain/hub'
import { additionalCallbacks } from '../../../src/handler'
import { FlowiseMemory, ICommonObject, IMessage, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { createReactAgent } from '../../../src/agents'
import { ChatOpenAI } from '../../chatmodels/ChatOpenAI/FlowiseChatOpenAI'
import { HumanMessage } from '@langchain/core/messages'
import { addImagesToMessages } from '../../../src/multiModalUtils'
import { ChatPromptTemplate, HumanMessagePromptTemplate } from 'langchain/prompts'
class MRKLAgentChat_Agents implements INode {
label: string
@@ -3,7 +3,7 @@ import { AgentExecutor } from 'langchain/agents'
import { pull } from 'langchain/hub'
import { Tool } from '@langchain/core/tools'
import type { PromptTemplate } from '@langchain/core/prompts'
import { BaseLanguageModel } from 'langchain/base_language'
import { BaseLanguageModel } from '@langchain/core/language_models/base'
import { additionalCallbacks } from '../../../src/handler'
import { getBaseClasses } from '../../../src/utils'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
@@ -1,5 +1,6 @@
import { BaseLanguageModel, BaseLanguageModelCallOptions } from '@langchain/core/language_models/base'
import { BaseLLMOutputParser, BaseOutputParser } from '@langchain/core/output_parsers'
import { HumanMessage } from '@langchain/core/messages'
import { ChatPromptTemplate, FewShotPromptTemplate, PromptTemplate, HumanMessagePromptTemplate } from '@langchain/core/prompts'
import { OutputFixingParser } from 'langchain/output_parsers'
import { LLMChain } from 'langchain/chains'
@@ -10,7 +11,6 @@ import { checkInputs, Moderation, streamResponse } from '../../moderation/Modera
import { formatResponse, injectOutputParser } from '../../outputparsers/OutputParserHelpers'
import { ChatOpenAI } from '../../chatmodels/ChatOpenAI/FlowiseChatOpenAI'
import { addImagesToMessages } from '../../../src/multiModalUtils'
import { HumanMessage } from 'langchain/schema'
class LLMChain_Chains implements INode {
label: string
@@ -18,7 +18,7 @@ class ChatMistral_ChatModels implements INode {
constructor() {
this.label = 'ChatMistralAI'
this.name = 'chatMistralAI'
this.version = 1.0
this.version = 2.0
this.type = 'ChatMistralAI'
this.icon = 'MistralAI.svg'
this.category = 'Chat Models'
@@ -40,21 +40,9 @@ class ChatMistral_ChatModels implements INode {
{
label: 'Model Name',
name: 'modelName',
type: 'options',
options: [
{
label: 'mistral-tiny',
name: 'mistral-tiny'
},
{
label: 'mistral-small',
name: 'mistral-small'
},
{
label: 'mistral-medium',
name: 'mistral-medium'
}
],
type: 'string',
description:
'Refer to <a target="_blank" href="https://docs.mistral.ai/guides/model-selection/">Model Selection</a> for more available models',
default: 'mistral-tiny'
},
{
@@ -7,9 +7,10 @@ import {
ChatOpenAICallOptions
} from '@langchain/openai'
import { BaseChatModelParams } from '@langchain/core/language_models/chat_models'
import { IMultiModalOption } from '../../../src'
import { BaseMessageLike, LLMResult } from 'langchain/schema'
import { BaseMessageLike } from '@langchain/core/messages'
import { Callbacks } from '@langchain/core/callbacks/manager'
import { LLMResult } from '@langchain/core/outputs'
import { IMultiModalOption } from '../../../src'
export class ChatOpenAI extends LangchainChatOpenAI {
configuredModel: string
@@ -0,0 +1,80 @@
import { BaseCache } from '@langchain/core/caches'
import { ChatGroq, ChatGroqInput } from '@langchain/groq'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
class Groq_ChatModels implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
description: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'GroqChat'
this.name = 'groqChat'
this.version = 2.0
this.type = 'GroqChat'
this.icon = 'groq.png'
this.category = 'Chat Models'
this.description = 'Wrapper around Groq API with LPU Inference Engine'
this.baseClasses = [this.type, ...getBaseClasses(ChatGroq)]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['groqApi'],
optional: true
}
this.inputs = [
{
label: 'Cache',
name: 'cache',
type: 'BaseCache',
optional: true
},
{
label: 'Model Name',
name: 'modelName',
type: 'string',
placeholder: 'ft:gpt-3.5-turbo:my-org:custom_suffix:id'
},
{
label: 'Temperature',
name: 'temperature',
type: 'number',
step: 0.1,
default: 0.9,
optional: true
}
]
}
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const modelName = nodeData.inputs?.modelName as string
const cache = nodeData.inputs?.cache as BaseCache
const temperature = nodeData.inputs?.temperature as string
const streaming = nodeData.inputs?.streaming as boolean
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const groqApiKey = getCredentialParam('groqApiKey', credentialData, nodeData)
const obj: ChatGroqInput = {
modelName,
temperature: parseFloat(temperature),
apiKey: groqApiKey,
streaming: streaming ?? true
}
if (cache) obj.cache = cache
const model = new ChatGroq(obj)
return model
}
}
module.exports = { nodeClass: Groq_ChatModels }
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@@ -1,8 +1,8 @@
import { FlowiseSummaryMemory, IMessage, INode, INodeData, INodeParams, MemoryMethods } from '../../../src/Interface'
import { convertBaseMessagetoIMessage, getBaseClasses } from '../../../src/utils'
import { ConversationSummaryMemory, ConversationSummaryMemoryInput } from 'langchain/memory'
import { BaseLanguageModel } from 'langchain/base_language'
import { BaseLanguageModel } from '@langchain/core/language_models/base'
import { BaseMessage } from '@langchain/core/messages'
import { ConversationSummaryMemory, ConversationSummaryMemoryInput } from 'langchain/memory'
class ConversationSummaryMemory_Memory implements INode {
label: string
@@ -90,12 +90,17 @@ class CustomFunction_Utilities implements INode {
// Some values might be a stringified JSON, parse it
for (const key in inputVars) {
if (typeof inputVars[key] === 'string' && inputVars[key].startsWith('{') && inputVars[key].endsWith('}')) {
try {
inputVars[key] = JSON.parse(inputVars[key])
} catch (e) {
continue
let value = inputVars[key]
if (typeof value === 'string') {
value = handleEscapeCharacters(value, true)
if (value.startsWith('{') && value.endsWith('}')) {
try {
value = JSON.parse(value)
} catch (e) {
// ignore
}
}
inputVars[key] = value
}
}
@@ -105,11 +110,7 @@ class CustomFunction_Utilities implements INode {
if (Object.keys(inputVars).length) {
for (const item in inputVars) {
let value = inputVars[item]
if (typeof value === 'string') {
value = handleEscapeCharacters(value, true)
}
sandbox[`$${item}`] = value
sandbox[`$${item}`] = inputVars[item]
}
}
@@ -101,12 +101,17 @@ class IfElseFunction_Utilities implements INode {
// Some values might be a stringified JSON, parse it
for (const key in inputVars) {
if (typeof inputVars[key] === 'string' && inputVars[key].startsWith('{') && inputVars[key].endsWith('}')) {
try {
inputVars[key] = JSON.parse(inputVars[key])
} catch (e) {
continue
let value = inputVars[key]
if (typeof value === 'string') {
value = handleEscapeCharacters(value, true)
if (value.startsWith('{') && value.endsWith('}')) {
try {
value = JSON.parse(value)
} catch (e) {
// ignore
}
}
inputVars[key] = value
}
}
@@ -116,11 +121,7 @@ class IfElseFunction_Utilities implements INode {
if (Object.keys(inputVars).length) {
for (const item in inputVars) {
let value = inputVars[item]
if (typeof value === 'string') {
value = handleEscapeCharacters(value, true)
}
sandbox[`$${item}`] = value
sandbox[`$${item}`] = inputVars[item]
}
}
+2 -1
View File
@@ -33,6 +33,7 @@
"@langchain/cohere": "^0.0.5",
"@langchain/community": "^0.0.30",
"@langchain/google-genai": "^0.0.10",
"@langchain/groq": "^0.0.2",
"@langchain/mistralai": "^0.0.7",
"@langchain/openai": "^0.0.14",
"@langchain/pinecone": "^0.0.3",
@@ -72,7 +73,7 @@
"lunary": "^0.6.16",
"mammoth": "^1.5.1",
"moment": "^2.29.3",
"mongodb": "^6.2.0",
"mongodb": "6.2.0",
"mysql2": "^3.5.1",
"node-fetch": "^2.6.11",
"node-html-markdown": "^1.3.0",
+2 -2
View File
@@ -1,5 +1,5 @@
import { ICommonObject, IFileUpload, IMultiModalOption, INodeData, MessageContentImageUrl } from './Interface'
import { ChatOpenAI as LangchainChatOpenAI } from 'langchain/chat_models/openai'
import { ChatOpenAI } from '../nodes/chatmodels/ChatOpenAI/FlowiseChatOpenAI'
import path from 'path'
import { getStoragePath } from './utils'
import fs from 'fs'
@@ -12,7 +12,7 @@ export const addImagesToMessages = (
const imageContent: MessageContentImageUrl[] = []
let model = nodeData.inputs?.model
if (model instanceof LangchainChatOpenAI && multiModalOption) {
if (model instanceof ChatOpenAI && multiModalOption) {
// Image Uploaded
if (multiModalOption.image && multiModalOption.image.allowImageUploads && options?.uploads && options?.uploads.length > 0) {
const imageUploads = getImageUploads(options.uploads)
@@ -5,12 +5,10 @@
"badge": "NEW",
"nodes": [
{
"width": 300,
"height": 327,
"id": "openAIAssistant_0",
"position": {
"x": 895.3722263184736,
"y": 118.50795801755544
"x": 1237.914576178543,
"y": 140
},
"type": "customNode",
"data": {
@@ -60,33 +58,36 @@
],
"inputs": {
"selectedAssistant": "",
"tools": ["{{calculator_0.data.instance}}", "{{serper_0.data.instance}}", "{{customTool_0.data.instance}}"]
"tools": ["{{calculator_0.data.instance}}", "{{serper_0.data.instance}}", "{{customTool_0.data.instance}}"],
"inputModeration": "",
"disableFileDownload": ""
},
"outputAnchors": [
{
"id": "openAIAssistant_0-output-openAIAssistant-OpenAIAssistant",
"name": "openAIAssistant",
"label": "OpenAIAssistant",
"description": "An agent that uses OpenAI Assistant API to pick the tool and args to call",
"type": "OpenAIAssistant"
}
],
"outputs": {},
"selected": false
},
"width": 300,
"height": 419,
"selected": false,
"dragging": false,
"positionAbsolute": {
"x": 895.3722263184736,
"y": 118.50795801755544
"x": 1237.914576178543,
"y": 140
}
},
{
"width": 300,
"height": 143,
"id": "calculator_0",
"position": {
"x": 454.74423492660145,
"y": -56.08375600705064
"x": 854.0341531341463,
"y": 48.134746169036475
},
"type": "customNode",
"data": {
@@ -106,26 +107,75 @@
"id": "calculator_0-output-calculator-Calculator|Tool|StructuredTool|Runnable",
"name": "calculator",
"label": "Calculator",
"description": "Perform calculations on response",
"type": "Calculator | Tool | StructuredTool | Runnable"
}
],
"outputs": {},
"selected": false
},
"width": 300,
"height": 142,
"selected": false,
"positionAbsolute": {
"x": 454.74423492660145,
"y": -56.08375600705064
"x": 854.0341531341463,
"y": 48.134746169036475
},
"dragging": false
},
{
"id": "serper_0",
"position": {
"x": 852.623106275503,
"y": 205.46647090775525
},
"type": "customNode",
"data": {
"id": "serper_0",
"label": "Serper",
"version": 1,
"name": "serper",
"type": "Serper",
"baseClasses": ["Serper", "Tool", "StructuredTool", "Runnable"],
"category": "Tools",
"description": "Wrapper around Serper.dev - Google Search API",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["serperApi"],
"id": "serper_0-input-credential-credential"
}
],
"inputAnchors": [],
"inputs": {},
"outputAnchors": [
{
"id": "serper_0-output-serper-Serper|Tool|StructuredTool|Runnable",
"name": "serper",
"label": "Serper",
"description": "Wrapper around Serper.dev - Google Search API",
"type": "Serper | Tool | StructuredTool | Runnable"
}
],
"outputs": {},
"selected": false
},
"width": 300,
"height": 277,
"height": 276,
"selected": false,
"positionAbsolute": {
"x": 852.623106275503,
"y": 205.46647090775525
},
"dragging": false
},
{
"id": "customTool_0",
"position": {
"x": 454.43871855431365,
"y": 401.2171774551178
"x": 850.6759101766447,
"y": 496.68759375469654
},
"type": "customNode",
"data": {
@@ -155,63 +205,19 @@
"id": "customTool_0-output-customTool-CustomTool|Tool|StructuredTool|Runnable",
"name": "customTool",
"label": "CustomTool",
"description": "Use custom tool you've created in Flowise within chatflow",
"type": "CustomTool | Tool | StructuredTool | Runnable"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 454.43871855431365,
"y": 401.2171774551178
},
"dragging": false
},
{
"width": 300,
"height": 277,
"id": "serper_0",
"position": {
"x": 452.2514874331948,
"y": 99.6087116015905
},
"type": "customNode",
"data": {
"id": "serper_0",
"label": "Serper",
"version": 1,
"name": "serper",
"type": "Serper",
"baseClasses": ["Serper", "Tool", "StructuredTool", "Runnable"],
"category": "Tools",
"description": "Wrapper around Serper.dev - Google Search API",
"inputParams": [
{
"label": "Connect Credential",
"name": "credential",
"type": "credential",
"credentialNames": ["serperApi"],
"id": "serper_0-input-credential-credential"
}
],
"inputAnchors": [],
"inputs": {},
"outputAnchors": [
{
"id": "serper_0-output-serper-Serper|Tool|StructuredTool|Runnable",
"name": "serper",
"label": "Serper",
"type": "Serper | Tool | StructuredTool | Runnable"
}
],
"outputs": {},
"selected": false
},
"height": 276,
"selected": false,
"positionAbsolute": {
"x": 452.2514874331948,
"y": 99.6087116015905
"x": 850.6759101766447,
"y": 496.68759375469654
},
"dragging": false
}
@@ -223,10 +229,7 @@
"target": "openAIAssistant_0",
"targetHandle": "openAIAssistant_0-input-tools-Tool",
"type": "buttonedge",
"id": "calculator_0-calculator_0-output-calculator-Calculator|Tool|StructuredTool|Runnable-openAIAssistant_0-openAIAssistant_0-input-tools-Tool",
"data": {
"label": ""
}
"id": "calculator_0-calculator_0-output-calculator-Calculator|Tool|StructuredTool|Runnable-openAIAssistant_0-openAIAssistant_0-input-tools-Tool"
},
{
"source": "serper_0",
@@ -234,10 +237,7 @@
"target": "openAIAssistant_0",
"targetHandle": "openAIAssistant_0-input-tools-Tool",
"type": "buttonedge",
"id": "serper_0-serper_0-output-serper-Serper|Tool|StructuredTool|Runnable-openAIAssistant_0-openAIAssistant_0-input-tools-Tool",
"data": {
"label": ""
}
"id": "serper_0-serper_0-output-serper-Serper|Tool|StructuredTool|Runnable-openAIAssistant_0-openAIAssistant_0-input-tools-Tool"
},
{
"source": "customTool_0",
@@ -245,10 +245,7 @@
"target": "openAIAssistant_0",
"targetHandle": "openAIAssistant_0-input-tools-Tool",
"type": "buttonedge",
"id": "customTool_0-customTool_0-output-customTool-CustomTool|Tool|StructuredTool|Runnable-openAIAssistant_0-openAIAssistant_0-input-tools-Tool",
"data": {
"label": ""
}
"id": "customTool_0-customTool_0-output-customTool-CustomTool|Tool|StructuredTool|Runnable-openAIAssistant_0-openAIAssistant_0-input-tools-Tool"
}
]
}
+39 -4
View File
@@ -532,11 +532,45 @@ export const getVariableValue = (
variableDict[`{{${variableFullPath}}}`] = handleEscapeCharacters(convertChatHistoryToText(chatHistory), false)
}
// Split by first occurrence of '.' to get just nodeId
const [variableNodeId, _] = variableFullPath.split('.')
// Resolve values with following case.
// 1: <variableNodeId>.data.instance
// 2: <variableNodeId>.data.instance.pathtokey
const variableFullPathParts = variableFullPath.split('.')
const variableNodeId = variableFullPathParts[0]
const executedNode = reactFlowNodes.find((nd) => nd.id === variableNodeId)
if (executedNode) {
const variableValue = get(executedNode.data, 'instance')
let variableValue = get(executedNode.data, 'instance')
// Handle path such as `<variableNodeId>.data.instance.key`
if (variableFullPathParts.length > 3) {
let variableObj = null
switch (typeof variableValue) {
case 'string': {
const unEscapedVariableValue = handleEscapeCharacters(variableValue, true)
if (unEscapedVariableValue.startsWith('{') && unEscapedVariableValue.endsWith('}')) {
try {
variableObj = JSON.parse(unEscapedVariableValue)
} catch (e) {
// ignore
}
}
break
}
case 'object': {
variableObj = variableValue
break
}
default:
break
}
if (variableObj) {
variableObj = get(variableObj, variableFullPathParts.slice(3))
variableValue = handleEscapeCharacters(
typeof variableObj === 'object' ? JSON.stringify(variableObj) : variableObj,
false
)
}
}
if (isAcceptVariable) {
variableDict[`{{${variableFullPath}}}`] = variableValue
} else {
@@ -855,7 +889,8 @@ export const isFlowValidForStream = (reactFlowNodes: IReactFlowNode[], endingNod
'chatAnthropic_LlamaIndex',
'chatOllama',
'awsChatBedrock',
'chatMistralAI'
'chatMistralAI',
'groqChat'
],
LLMs: ['azureOpenAI', 'openAI', 'ollama']
}