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Merge branch 'main' of https://github.com/use-the-fork/Flowise into maintenance/vite-pnpm-tsup 

# Conflicts:
#	packages/ui/src/layout/MainLayout/Header/ProfileSection/index.jsx
#	packages/ui/src/ui-component/button/FlowListMenu.jsx
#	packages/ui/src/views/chatflows/index.jsx
pull/1272/head
Greg L 2023-12-05 17:04:58 -05:00
parent 75a2915388 1867f9be02
commit 5bc5378333
41 changed files with 841 additions and 814 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
packages/components/credentials/RedisCacheApi.credential.ts
View File

@ -8,7 +8,7 @@ class RedisCacheApi implements INodeCredential {
inputs: INodeParams[]
constructor() {
this.label = 'Redis Cache API'
this.label = 'Redis API'
this.name = 'redisCacheApi'
this.version = 1.0
this.inputs = [

4
packages/components/credentials/RedisCacheUrlApi.credential.ts
View File

@ -8,7 +8,7 @@ class RedisCacheUrlApi implements INodeCredential {
inputs: INodeParams[]
constructor() {
this.label = 'Redis Cache URL'
this.label = 'Redis URL'
this.name = 'redisCacheUrlApi'
this.version = 1.0
this.inputs = [
@ -16,7 +16,7 @@ class RedisCacheUrlApi implements INodeCredential {
label: 'Redis URL',
name: 'redisUrl',
type: 'string',
default: '127.0.0.1'
default: 'redis://localhost:6379'
}
]
}

14
packages/components/nodes/agents/ConversationalAgent/ConversationalAgent.ts
View File

@ -3,7 +3,7 @@ import { initializeAgentExecutorWithOptions, AgentExecutor, InitializeAgentExecu
import { Tool } from 'langchain/tools'
import { BaseChatMemory } from 'langchain/memory'
import { getBaseClasses, mapChatHistory } from '../../../src/utils'
import { BaseLanguageModel } from 'langchain/base_language'
import { BaseChatModel } from 'langchain/chat_models/base'
import { flatten } from 'lodash'
import { additionalCallbacks } from '../../../src/handler'
@ -29,7 +29,7 @@ class ConversationalAgent_Agents implements INode {
constructor() {
this.label = 'Conversational Agent'
this.name = 'conversationalAgent'
this.version = 1.0
this.version = 2.0
this.type = 'AgentExecutor'
this.category = 'Agents'
this.icon = 'agent.svg'
@ -45,7 +45,7 @@ class ConversationalAgent_Agents implements INode {
{
label: 'Language Model',
name: 'model',
type: 'BaseLanguageModel'
type: 'BaseChatModel'
},
{
label: 'Memory',
@ -65,7 +65,7 @@ class ConversationalAgent_Agents implements INode {
}
async init(nodeData: INodeData): Promise<any> {
const model = nodeData.inputs?.model as BaseLanguageModel
const model = nodeData.inputs?.model as BaseChatModel
let tools = nodeData.inputs?.tools as Tool[]
tools = flatten(tools)
const memory = nodeData.inputs?.memory as BaseChatMemory
@ -92,8 +92,6 @@ class ConversationalAgent_Agents implements INode {
const executor = nodeData.instance as AgentExecutor
const memory = nodeData.inputs?.memory as BaseChatMemory
const callbacks = await additionalCallbacks(nodeData, options)
if (options && options.chatHistory) {
const chatHistoryClassName = memory.chatHistory.constructor.name
// Only replace when its In-Memory
@ -103,6 +101,10 @@ class ConversationalAgent_Agents implements INode {
}
}
;(executor.memory as any).returnMessages = true // Return true for BaseChatModel
const callbacks = await additionalCallbacks(nodeData, options)
const result = await executor.call({ input }, [...callbacks])
return result?.output
}

6
packages/components/nodes/agents/ConversationalRetrievalAgent/ConversationalRetrievalAgent.ts
View File

@ -21,7 +21,7 @@ class ConversationalRetrievalAgent_Agents implements INode {
constructor() {
this.label = 'Conversational Retrieval Agent'
this.name = 'conversationalRetrievalAgent'
this.version = 2.0
this.version = 3.0
this.type = 'AgentExecutor'
this.category = 'Agents'
this.icon = 'agent.svg'
@ -42,7 +42,7 @@ class ConversationalRetrievalAgent_Agents implements INode {
{
label: 'OpenAI/Azure Chat Model',
name: 'model',
type: 'ChatOpenAI | AzureChatOpenAI'
type: 'BaseChatModel'
},
{
label: 'System Message',
@ -82,6 +82,8 @@ class ConversationalRetrievalAgent_Agents implements INode {
if (executor.memory) {
;(executor.memory as any).memoryKey = 'chat_history'
;(executor.memory as any).outputKey = 'output'
;(executor.memory as any).returnMessages = true
const chatHistoryClassName = (executor.memory as any).chatHistory.constructor.name
// Only replace when its In-Memory
if (chatHistoryClassName && chatHistoryClassName === 'ChatMessageHistory') {

112
packages/components/nodes/agents/OpenAIAssistant/OpenAIAssistant.ts
View File

@ -23,7 +23,7 @@ class OpenAIAssistant_Agents implements INode {
constructor() {
this.label = 'OpenAI Assistant'
this.name = 'openAIAssistant'
this.version = 1.0
this.version = 2.0
this.type = 'OpenAIAssistant'
this.category = 'Agents'
this.icon = 'openai.png'
@ -41,6 +41,15 @@ class OpenAIAssistant_Agents implements INode {
name: 'tools',
type: 'Tool',
list: true
},
{
label: 'Disable File Download',
name: 'disableFileDownload',
type: 'boolean',
description:
'Messages can contain text, images, or files. In some cases, you may want to prevent others from downloading the files. Learn more from OpenAI File Annotation <a target="_blank" href="https://platform.openai.com/docs/assistants/how-it-works/managing-threads-and-messages">docs</a>',
optional: true,
additionalParams: true
}
]
}
@ -76,49 +85,54 @@ class OpenAIAssistant_Agents implements INode {
return null
}
async clearSessionMemory(nodeData: INodeData, options: ICommonObject): Promise<void> {
const selectedAssistantId = nodeData.inputs?.selectedAssistant as string
const appDataSource = options.appDataSource as DataSource
const databaseEntities = options.databaseEntities as IDatabaseEntity
let sessionId = nodeData.inputs?.sessionId as string
//@ts-ignore
memoryMethods = {
async clearSessionMemory(nodeData: INodeData, options: ICommonObject): Promise<void> {
const selectedAssistantId = nodeData.inputs?.selectedAssistant as string
const appDataSource = options.appDataSource as DataSource
const databaseEntities = options.databaseEntities as IDatabaseEntity
let sessionId = nodeData.inputs?.sessionId as string
const assistant = await appDataSource.getRepository(databaseEntities['Assistant']).findOneBy({
id: selectedAssistantId
})
if (!assistant) {
options.logger.error(`Assistant ${selectedAssistantId} not found`)
return
}
if (!sessionId && options.chatId) {
const chatmsg = await appDataSource.getRepository(databaseEntities['ChatMessage']).findOneBy({
chatId: options.chatId
const assistant = await appDataSource.getRepository(databaseEntities['Assistant']).findOneBy({
id: selectedAssistantId
})
if (!chatmsg) {
options.logger.error(`Chat Message with Chat Id: ${options.chatId} not found`)
if (!assistant) {
options.logger.error(`Assistant ${selectedAssistantId} not found`)
return
}
sessionId = chatmsg.sessionId
}
const credentialData = await getCredentialData(assistant.credential ?? '', options)
const openAIApiKey = getCredentialParam('openAIApiKey', credentialData, nodeData)
if (!openAIApiKey) {
options.logger.error(`OpenAI ApiKey not found`)
return
}
if (!sessionId && options.chatId) {
const chatmsg = await appDataSource.getRepository(databaseEntities['ChatMessage']).findOneBy({
chatId: options.chatId
})
if (!chatmsg) {
options.logger.error(`Chat Message with Chat Id: ${options.chatId} not found`)
return
}
sessionId = chatmsg.sessionId
}
const openai = new OpenAI({ apiKey: openAIApiKey })
options.logger.info(`Clearing OpenAI Thread ${sessionId}`)
if (sessionId) await openai.beta.threads.del(sessionId)
options.logger.info(`Successfully cleared OpenAI Thread ${sessionId}`)
const credentialData = await getCredentialData(assistant.credential ?? '', options)
const openAIApiKey = getCredentialParam('openAIApiKey', credentialData, nodeData)
if (!openAIApiKey) {
options.logger.error(`OpenAI ApiKey not found`)
return
}
const openai = new OpenAI({ apiKey: openAIApiKey })
options.logger.info(`Clearing OpenAI Thread ${sessionId}`)
if (sessionId) await openai.beta.threads.del(sessionId)
options.logger.info(`Successfully cleared OpenAI Thread ${sessionId}`)
}
}
async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string | object> {
const selectedAssistantId = nodeData.inputs?.selectedAssistant as string
const appDataSource = options.appDataSource as DataSource
const databaseEntities = options.databaseEntities as IDatabaseEntity
const disableFileDownload = nodeData.inputs?.disableFileDownload as boolean
let tools = nodeData.inputs?.tools
tools = flatten(tools)
const formattedTools = tools?.map((tool: any) => formatToOpenAIAssistantTool(tool)) ?? []
@ -310,7 +324,7 @@ class OpenAIAssistant_Agents implements INode {
const dirPath = path.join(getUserHome(), '.flowise', 'openai-assistant')
// Iterate over the annotations and add footnotes
// Iterate over the annotations
for (let index = 0; index < annotations.length; index++) {
const annotation = annotations[index]
let filePath = ''
@ -323,11 +337,13 @@ class OpenAIAssistant_Agents implements INode {
// eslint-disable-next-line no-useless-escape
const fileName = cited_file.filename.split(/[\/\\]/).pop() ?? cited_file.filename
filePath = path.join(getUserHome(), '.flowise', 'openai-assistant', fileName)
await downloadFile(cited_file, filePath, dirPath, openAIApiKey)
fileAnnotations.push({
filePath,
fileName
})
if (!disableFileDownload) {
await downloadFile(cited_file, filePath, dirPath, openAIApiKey)
fileAnnotations.push({
filePath,
fileName
})
}
} else {
const file_path = (annotation as OpenAI.Beta.Threads.Messages.MessageContentText.Text.FilePath).file_path
if (file_path) {
@ -335,22 +351,30 @@ class OpenAIAssistant_Agents implements INode {
// eslint-disable-next-line no-useless-escape
const fileName = cited_file.filename.split(/[\/\\]/).pop() ?? cited_file.filename
filePath = path.join(getUserHome(), '.flowise', 'openai-assistant', fileName)
await downloadFile(cited_file, filePath, dirPath, openAIApiKey)
fileAnnotations.push({
filePath,
fileName
})
if (!disableFileDownload) {
await downloadFile(cited_file, filePath, dirPath, openAIApiKey)
fileAnnotations.push({
filePath,
fileName
})
}
}
}
// Replace the text with a footnote
message_content.value = message_content.value.replace(`${annotation.text}`, `${filePath}`)
message_content.value = message_content.value.replace(
`${annotation.text}`,
`${disableFileDownload ? '' : filePath}`
)
}
returnVal += message_content.value
} else {
returnVal += content.text.value
}
const lenticularBracketRegex = /【[^】]*】/g
returnVal = returnVal.replace(lenticularBracketRegex, '')
} else {
const content = assistantMessages[0].content[i] as MessageContentImageFile
const fileId = content.image_file.file_id

6
packages/components/nodes/agents/OpenAIFunctionAgent/OpenAIFunctionAgent.ts
View File

@ -20,7 +20,7 @@ class OpenAIFunctionAgent_Agents implements INode {
constructor() {
this.label = 'OpenAI Function Agent'
this.name = 'openAIFunctionAgent'
this.version = 2.0
this.version = 3.0
this.type = 'AgentExecutor'
this.category = 'Agents'
this.icon = 'openai.png'
@ -41,7 +41,7 @@ class OpenAIFunctionAgent_Agents implements INode {
{
label: 'OpenAI/Azure Chat Model',
name: 'model',
type: 'ChatOpenAI | AzureChatOpenAI'
type: 'BaseChatModel'
},
{
label: 'System Message',
@ -87,6 +87,8 @@ class OpenAIFunctionAgent_Agents implements INode {
}
}
;(executor.memory as any).returnMessages = true // Return true for BaseChatModel
const loggerHandler = new ConsoleCallbackHandler(options.logger)
const callbacks = await additionalCallbacks(nodeData, options)

4
packages/components/nodes/chains/ConversationChain/ConversationChain.ts
View File

@ -106,16 +106,18 @@ class ConversationChain_Chains implements INode {
async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
const chain = nodeData.instance as ConversationChain
const memory = nodeData.inputs?.memory as BufferMemory
memory.returnMessages = true // Return true for BaseChatModel
if (options && options.chatHistory) {
const chatHistoryClassName = memory.chatHistory.constructor.name
// Only replace when its In-Memory
if (chatHistoryClassName && chatHistoryClassName === 'ChatMessageHistory') {
memory.chatHistory = mapChatHistory(options)
chain.memory = memory
}
}
chain.memory = memory
const loggerHandler = new ConsoleCallbackHandler(options.logger)
const callbacks = await additionalCallbacks(nodeData, options)

38
packages/components/nodes/memory/DynamoDb/DynamoDb.ts
View File

@ -1,4 +1,13 @@
import { ICommonObject, INode, INodeData, INodeParams, getBaseClasses, getCredentialData, getCredentialParam } from '../../../src'
import {
ICommonObject,
INode,
INodeData,
INodeParams,
getBaseClasses,
getCredentialData,
getCredentialParam,
serializeChatHistory
} from '../../../src'
import { DynamoDBChatMessageHistory } from 'langchain/stores/message/dynamodb'
import { BufferMemory, BufferMemoryInput } from 'langchain/memory'
@ -70,13 +79,23 @@ class DynamoDb_Memory implements INode {
return initalizeDynamoDB(nodeData, options)
}
async clearSessionMemory(nodeData: INodeData, options: ICommonObject): Promise<void> {
const dynamodbMemory = await initalizeDynamoDB(nodeData, options)
const sessionId = nodeData.inputs?.sessionId as string
const chatId = options?.chatId as string
options.logger.info(`Clearing DynamoDb memory session ${sessionId ? sessionId : chatId}`)
await dynamodbMemory.clear()
options.logger.info(`Successfully cleared DynamoDb memory session ${sessionId ? sessionId : chatId}`)
//@ts-ignore
memoryMethods = {
async clearSessionMemory(nodeData: INodeData, options: ICommonObject): Promise<void> {
const dynamodbMemory = await initalizeDynamoDB(nodeData, options)
const sessionId = nodeData.inputs?.sessionId as string
const chatId = options?.chatId as string
options.logger.info(`Clearing DynamoDb memory session ${sessionId ? sessionId : chatId}`)
await dynamodbMemory.clear()
options.logger.info(`Successfully cleared DynamoDb memory session ${sessionId ? sessionId : chatId}`)
},
async getChatMessages(nodeData: INodeData, options: ICommonObject): Promise<string> {
const memoryKey = nodeData.inputs?.memoryKey as string
const dynamodbMemory = await initalizeDynamoDB(nodeData, options)
const key = memoryKey ?? 'chat_history'
const memoryResult = await dynamodbMemory.loadMemoryVariables({})
return serializeChatHistory(memoryResult[key])
}
}
}
@ -109,9 +128,8 @@ const initalizeDynamoDB = async (nodeData: INodeData, options: ICommonObject): P
})
const memory = new BufferMemoryExtended({
memoryKey,
memoryKey: memoryKey ?? 'chat_history',
chatHistory: dynamoDb,
returnMessages: true,
isSessionIdUsingChatMessageId
})
return memory

38
packages/components/nodes/memory/MongoDBMemory/MongoDBMemory.ts
View File

@ -1,4 +1,13 @@
import { getBaseClasses, getCredentialData, getCredentialParam, ICommonObject, INode, INodeData, INodeParams } from '../../../src'
import {
getBaseClasses,
getCredentialData,
getCredentialParam,
ICommonObject,
INode,
INodeData,
INodeParams,
serializeChatHistory
} from '../../../src'
import { MongoDBChatMessageHistory } from 'langchain/stores/message/mongodb'
import { BufferMemory, BufferMemoryInput } from 'langchain/memory'
import { BaseMessage, mapStoredMessageToChatMessage } from 'langchain/schema'
@ -67,13 +76,23 @@ class MongoDB_Memory implements INode {
return initializeMongoDB(nodeData, options)
}
async clearSessionMemory(nodeData: INodeData, options: ICommonObject): Promise<void> {
const mongodbMemory = await initializeMongoDB(nodeData, options)
const sessionId = nodeData.inputs?.sessionId as string
const chatId = options?.chatId as string
options.logger.info(`Clearing MongoDB memory session ${sessionId ? sessionId : chatId}`)
await mongodbMemory.clear()
options.logger.info(`Successfully cleared MongoDB memory session ${sessionId ? sessionId : chatId}`)
//@ts-ignore
memoryMethods = {
async clearSessionMemory(nodeData: INodeData, options: ICommonObject): Promise<void> {
const mongodbMemory = await initializeMongoDB(nodeData, options)
const sessionId = nodeData.inputs?.sessionId as string
const chatId = options?.chatId as string
options.logger.info(`Clearing MongoDB memory session ${sessionId ? sessionId : chatId}`)
await mongodbMemory.clear()
options.logger.info(`Successfully cleared MongoDB memory session ${sessionId ? sessionId : chatId}`)
},
async getChatMessages(nodeData: INodeData, options: ICommonObject): Promise<string> {
const memoryKey = nodeData.inputs?.memoryKey as string
const mongodbMemory = await initializeMongoDB(nodeData, options)
const key = memoryKey ?? 'chat_history'
const memoryResult = await mongodbMemory.loadMemoryVariables({})
return serializeChatHistory(memoryResult[key])
}
}
}
@ -123,9 +142,8 @@ const initializeMongoDB = async (nodeData: INodeData, options: ICommonObject): P
}
return new BufferMemoryExtended({
memoryKey,
memoryKey: memoryKey ?? 'chat_history',
chatHistory: mongoDBChatMessageHistory,
returnMessages: true,
isSessionIdUsingChatMessageId
})
}

25
packages/components/nodes/memory/MotorheadMemory/MotorheadMemory.ts
View File

@ -3,6 +3,7 @@ import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../
import { ICommonObject } from '../../../src'
import { MotorheadMemory, MotorheadMemoryInput } from 'langchain/memory'
import fetch from 'node-fetch'
import { getBufferString } from 'langchain/memory'
class MotorMemory_Memory implements INode {
label: string
@ -64,13 +65,23 @@ class MotorMemory_Memory implements INode {
return initalizeMotorhead(nodeData, options)
}
async clearSessionMemory(nodeData: INodeData, options: ICommonObject): Promise<void> {
const motorhead = await initalizeMotorhead(nodeData, options)
const sessionId = nodeData.inputs?.sessionId as string
const chatId = options?.chatId as string
options.logger.info(`Clearing Motorhead memory session ${sessionId ? sessionId : chatId}`)
await motorhead.clear()
options.logger.info(`Successfully cleared Motorhead memory session ${sessionId ? sessionId : chatId}`)
//@ts-ignore
memoryMethods = {
async clearSessionMemory(nodeData: INodeData, options: ICommonObject): Promise<void> {
const motorhead = await initalizeMotorhead(nodeData, options)
const sessionId = nodeData.inputs?.sessionId as string
const chatId = options?.chatId as string
options.logger.info(`Clearing Motorhead memory session ${sessionId ? sessionId : chatId}`)
await motorhead.clear()
options.logger.info(`Successfully cleared Motorhead memory session ${sessionId ? sessionId : chatId}`)
},
async getChatMessages(nodeData: INodeData, options: ICommonObject): Promise<string> {
const memoryKey = nodeData.inputs?.memoryKey as string
const motorhead = await initalizeMotorhead(nodeData, options)
const key = memoryKey ?? 'chat_history'
const memoryResult = await motorhead.loadMemoryVariables({})
return getBufferString(memoryResult[key])
}
}
}

28
packages/components/nodes/memory/RedisBackedChatMemory/RedisBackedChatMemory.ts
View File

@ -1,5 +1,5 @@
import { INode, INodeData, INodeParams, ICommonObject } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { getBaseClasses, getCredentialData, getCredentialParam, serializeChatHistory } from '../../../src/utils'
import { BufferMemory, BufferMemoryInput } from 'langchain/memory'
import { RedisChatMessageHistory, RedisChatMessageHistoryInput } from 'langchain/stores/message/ioredis'
import { mapStoredMessageToChatMessage, BaseMessage } from 'langchain/schema'
@ -65,13 +65,23 @@ class RedisBackedChatMemory_Memory implements INode {
return await initalizeRedis(nodeData, options)
}
async clearSessionMemory(nodeData: INodeData, options: ICommonObject): Promise<void> {
const redis = await initalizeRedis(nodeData, options)
const sessionId = nodeData.inputs?.sessionId as string
const chatId = options?.chatId as string
options.logger.info(`Clearing Redis memory session ${sessionId ? sessionId : chatId}`)
await redis.clear()
options.logger.info(`Successfully cleared Redis memory session ${sessionId ? sessionId : chatId}`)
//@ts-ignore
memoryMethods = {
async clearSessionMemory(nodeData: INodeData, options: ICommonObject): Promise<void> {
const redis = await initalizeRedis(nodeData, options)
const sessionId = nodeData.inputs?.sessionId as string
const chatId = options?.chatId as string
options.logger.info(`Clearing Redis memory session ${sessionId ? sessionId : chatId}`)
await redis.clear()
options.logger.info(`Successfully cleared Redis memory session ${sessionId ? sessionId : chatId}`)
},
async getChatMessages(nodeData: INodeData, options: ICommonObject): Promise<string> {
const memoryKey = nodeData.inputs?.memoryKey as string
const redis = await initalizeRedis(nodeData, options)
const key = memoryKey ?? 'chat_history'
const memoryResult = await redis.loadMemoryVariables({})
return serializeChatHistory(memoryResult[key])
}
}
}
@ -137,7 +147,7 @@ const initalizeRedis = async (nodeData: INodeData, options: ICommonObject): Prom
}
const memory = new BufferMemoryExtended({
memoryKey,
memoryKey: memoryKey ?? 'chat_history',
chatHistory: redisChatMessageHistory,
isSessionIdUsingChatMessageId
})

26
packages/components/nodes/memory/UpstashRedisBackedChatMemory/UpstashRedisBackedChatMemory.ts
View File

@ -1,5 +1,5 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { getBaseClasses, getCredentialData, getCredentialParam, serializeChatHistory } from '../../../src/utils'
import { ICommonObject } from '../../../src'
import { BufferMemory, BufferMemoryInput } from 'langchain/memory'
import { UpstashRedisChatMessageHistory } from 'langchain/stores/message/upstash_redis'
@ -63,13 +63,22 @@ class UpstashRedisBackedChatMemory_Memory implements INode {
return initalizeUpstashRedis(nodeData, options)
}
async clearSessionMemory(nodeData: INodeData, options: ICommonObject): Promise<void> {
const redis = await initalizeUpstashRedis(nodeData, options)
const sessionId = nodeData.inputs?.sessionId as string
const chatId = options?.chatId as string
options.logger.info(`Clearing Upstash Redis memory session ${sessionId ? sessionId : chatId}`)
await redis.clear()
options.logger.info(`Successfully cleared Upstash Redis memory session ${sessionId ? sessionId : chatId}`)
//@ts-ignore
memoryMethods = {
async clearSessionMemory(nodeData: INodeData, options: ICommonObject): Promise<void> {
const redis = await initalizeUpstashRedis(nodeData, options)
const sessionId = nodeData.inputs?.sessionId as string
const chatId = options?.chatId as string
options.logger.info(`Clearing Upstash Redis memory session ${sessionId ? sessionId : chatId}`)
await redis.clear()
options.logger.info(`Successfully cleared Upstash Redis memory session ${sessionId ? sessionId : chatId}`)
},
async getChatMessages(nodeData: INodeData, options: ICommonObject): Promise<string> {
const redis = await initalizeUpstashRedis(nodeData, options)
const key = 'chat_history'
const memoryResult = await redis.loadMemoryVariables({})
return serializeChatHistory(memoryResult[key])
}
}
}
@ -95,6 +104,7 @@ const initalizeUpstashRedis = async (nodeData: INodeData, options: ICommonObject
})
const memory = new BufferMemoryExtended({
memoryKey: 'chat_history',
chatHistory: redisChatMessageHistory,
isSessionIdUsingChatMessageId
})

27
packages/components/nodes/memory/ZepMemory/ZepMemory.ts
View File

@ -3,6 +3,7 @@ import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { ZepMemory, ZepMemoryInput } from 'langchain/memory/zep'
import { ICommonObject } from '../../../src'
import { getBufferString } from 'langchain/memory'
class ZepMemory_Memory implements INode {
label: string
@ -140,13 +141,25 @@ class ZepMemory_Memory implements INode {
return zep
}
async clearSessionMemory(nodeData: INodeData, options: ICommonObject): Promise<void> {
const zep = await initalizeZep(nodeData, options)
const sessionId = nodeData.inputs?.sessionId as string
const chatId = options?.chatId as string
options.logger.info(`Clearing Zep memory session ${sessionId ? sessionId : chatId}`)
await zep.clear()
options.logger.info(`Successfully cleared Zep memory session ${sessionId ? sessionId : chatId}`)
//@ts-ignore
memoryMethods = {
async clearSessionMemory(nodeData: INodeData, options: ICommonObject): Promise<void> {
const zep = await initalizeZep(nodeData, options)
const sessionId = nodeData.inputs?.sessionId as string
const chatId = options?.chatId as string
options.logger.info(`Clearing Zep memory session ${sessionId ? sessionId : chatId}`)
await zep.clear()
options.logger.info(`Successfully cleared Zep memory session ${sessionId ? sessionId : chatId}`)
},
async getChatMessages(nodeData: INodeData, options: ICommonObject): Promise<string> {
const memoryKey = nodeData.inputs?.memoryKey as string
const aiPrefix = nodeData.inputs?.aiPrefix as string
const humanPrefix = nodeData.inputs?.humanPrefix as string
const zep = await initalizeZep(nodeData, options)
const key = memoryKey ?? 'chat_history'
const memoryResult = await zep.loadMemoryVariables({})
return getBufferString(memoryResult[key], humanPrefix, aiPrefix)
}
}
}

2
packages/components/nodes/moderation/OpenAIModeration/OpenAIModeration.ts
View File

@ -20,7 +20,7 @@ class OpenAIModeration implements INode {
this.name = 'inputModerationOpenAI'
this.version = 1.0
this.type = 'Moderation'
this.icon = 'openai-moderation.png'
this.icon = 'openai.png'
this.category = 'Moderation'
this.description = 'Check whether content complies with OpenAI usage policies.'
this.baseClasses = [this.type, ...getBaseClasses(Moderation)]

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2
packages/components/nodes/moderation/SimplePromptModeration/SimplePromptModerationRunner.ts
View File

@ -14,7 +14,7 @@ export class SimplePromptModerationRunner implements Moderation {
async checkForViolations(input: string): Promise<string> {
this.denyList.split('\n').forEach((denyListItem) => {
if (denyListItem && denyListItem !== '' && input.includes(denyListItem)) {
if (denyListItem && denyListItem !== '' && input.toLowerCase().includes(denyListItem.toLowerCase())) {
throw Error(this.moderationErrorMessage)
}
})

4
packages/components/nodes/tools/ChainTool/core.ts
View File

@ -1,5 +1,6 @@
import { DynamicTool, DynamicToolInput } from 'langchain/tools'
import { BaseChain } from 'langchain/chains'
import { handleEscapeCharacters } from '../../../src/utils'
export interface ChainToolInput extends Omit<DynamicToolInput, 'func'> {
chain: BaseChain
@ -14,7 +15,8 @@ export class ChainTool extends DynamicTool {
func: async (input, runManager) => {
// To enable LLM Chain which has promptValues
if ((chain as any).prompt && (chain as any).prompt.promptValues) {
const values = await chain.call((chain as any).prompt.promptValues, runManager?.getChild())
const promptValues = handleEscapeCharacters((chain as any).prompt.promptValues, true)
const values = await chain.call(promptValues, runManager?.getChild())
return values?.text
}
return chain.run(input, runManager?.getChild())

52
packages/components/nodes/tools/ZapierNLA/ZapierNLA.ts
View File

@ -1,52 +0,0 @@
import { ZapierNLAWrapper, ZapierNLAWrapperParams } from 'langchain/tools'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { ZapierToolKit } from 'langchain/agents'
import { getCredentialData, getCredentialParam } from '../../../src'
class ZapierNLA_Tools implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
category: string
badge: string
baseClasses: string[]
inputs: INodeParams[]
credential: INodeParams
constructor() {
this.label = 'Zapier NLA'
this.name = 'zapierNLA'
this.version = 1.0
this.type = 'ZapierNLA'
this.icon = 'zapier.svg'
this.category = 'Tools'
this.description = "Access to apps and actions on Zapier's platform through a natural language API interface"
this.badge = 'DEPRECATING'
this.inputs = []
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['zapierNLAApi']
}
this.baseClasses = [this.type, 'Tool']
}
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const zapierNLAApiKey = getCredentialParam('zapierNLAApiKey', credentialData, nodeData)
const obj: Partial<ZapierNLAWrapperParams> = {
apiKey: zapierNLAApiKey
}
const zapier = new ZapierNLAWrapper(obj)
const toolkit = await ZapierToolKit.fromZapierNLAWrapper(zapier)
return toolkit.tools
}
}
module.exports = { nodeClass: ZapierNLA_Tools }

8
packages/components/nodes/tools/ZapierNLA/zapier.svg
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@ -1,8 +0,0 @@
<?xml version="1.0" encoding="UTF-8"?>
<svg width="800px" height="800px" viewBox="0 0 256 256" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g>
<path d="M128.080089,-0.000183105 C135.311053,0.0131003068 142.422517,0.624138494 149.335663,1.77979593 L149.335663,1.77979593 L149.335663,76.2997796 L202.166953,23.6044907 C208.002065,27.7488446 213.460883,32.3582023 218.507811,37.3926715 C223.557281,42.4271407 228.192318,47.8867213 232.346817,53.7047992 L232.346817,53.7047992 L179.512985,106.400063 L254.227854,106.400063 C255.387249,113.29414 256,120.36111 256,127.587243 L256,127.587243 L256,127.759881 C256,134.986013 255.387249,142.066204 254.227854,148.960282 L254.227854,148.960282 L179.500273,148.960282 L232.346817,201.642324 C228.192318,207.460402 223.557281,212.919983 218.523066,217.954452 L218.523066,217.954452 L218.507811,217.954452 C213.460883,222.988921 208.002065,227.6115 202.182208,231.742607 L202.182208,231.742607 L149.335663,179.04709 L149.335663,253.5672 C142.435229,254.723036 135.323765,255.333244 128.092802,255.348499 L128.092802,255.348499 L127.907197,255.348499 C120.673691,255.333244 113.590195,254.723036 106.677048,253.5672 L106.677048,253.5672 L106.677048,179.04709 L53.8457596,231.742607 C42.1780766,223.466917 31.977435,213.278734 23.6658953,201.642324 L23.6658953,201.642324 L76.4997269,148.960282 L1.78485803,148.960282 C0.612750404,142.052729 0,134.946095 0,127.719963 L0,127.719963 L0,127.349037 C0.0121454869,125.473817 0.134939797,123.182933 0.311311815,120.812834 L0.36577283,120.099764 C0.887996182,113.428547 1.78485803,106.400063 1.78485803,106.400063 L1.78485803,106.400063 L76.4997269,106.400063 L23.6658953,53.7047992 C27.8076812,47.8867213 32.4300059,42.4403618 37.4769335,37.4193681 L37.4769335,37.4193681 L37.5023588,37.3926715 C42.5391163,32.3582023 48.0106469,27.7488446 53.8457596,23.6044907 L53.8457596,23.6044907 L106.677048,76.2997796 L106.677048,1.77979593 C113.590195,0.624138494 120.688946,0.0131003068 127.932622,-0.000183105 L127.932622,-0.000183105 L128.080089,-0.000183105 Z M128.067377,95.7600714 L127.945335,95.7600714 C118.436262,95.7600714 109.32891,97.5001809 100.910584,100.661566 C97.7553011,109.043534 96.0085811,118.129275 95.9958684,127.613685 L95.9958684,127.733184 C96.0085811,137.217594 97.7553011,146.303589 100.923296,154.685303 C109.32891,157.846943 118.436262,159.587052 127.945335,159.587052 L128.067377,159.587052 C137.576449,159.587052 146.683802,157.846943 155.089415,154.685303 C158.257411,146.290368 160.004131,137.217594 160.004131,127.733184 L160.004131,127.613685 C160.004131,118.129275 158.257411,109.043534 155.089415,100.661566 C146.683802,97.5001809 137.576449,95.7600714 128.067377,95.7600714 Z" fill="#FF4A00" fill-rule="nonzero">
</path>
</g>
</svg>
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2
packages/components/package.json
View File

@ -1,6 +1,6 @@
{
"name": "flowise-components",
"version": "1.4.3",
"version": "1.4.5",
"description": "Flowiseai Components",
"main": "dist/src/index",
"types": "dist/src/index.d.ts",

5
packages/components/src/Interface.ts
View File

@ -107,9 +107,12 @@ export interface INode extends INodeProperties {
search: (nodeData: INodeData, options?: ICommonObject) => Promise<any>
delete: (nodeData: INodeData, options?: ICommonObject) => Promise<void>
}
memoryMethods?: {
clearSessionMemory: (nodeData: INodeData, options?: ICommonObject) => Promise<void>
getChatMessages: (nodeData: INodeData, options?: ICommonObject) => Promise<string>
}
init?(nodeData: INodeData, input: string, options?: ICommonObject): Promise<any>
run?(nodeData: INodeData, input: string, options?: ICommonObject): Promise<string | ICommonObject>
clearSessionMemory?(nodeData: INodeData, options?: ICommonObject): Promise<void>
}
export interface INodeData extends INodeProperties {

12
packages/components/src/utils.ts
View File

@ -549,6 +549,18 @@ export const convertChatHistoryToText = (chatHistory: IMessage[] = []): string =
.join('\n')
}
/**
* Serialize array chat history to string
* @param {IMessage[]} chatHistory
* @returns {string}
*/
export const serializeChatHistory = (chatHistory: string | Array<string>) => {
if (Array.isArray(chatHistory)) {
return chatHistory.join('\n')
}
return chatHistory
}
/**
* Convert schema to zod schema
* @param {string | object} schema

44
packages/server/marketplaces/chatflows/API Agent OpenAI.json
View File

@ -3,7 +3,7 @@
"nodes": [
{
"width": 300,
"height": 510,
"height": 491,
"id": "openApiChain_1",
"position": {
"x": 1203.1825726424859,
@ -13,8 +13,8 @@
"data": {
"id": "openApiChain_1",
"label": "OpenAPI Chain",
"name": "openApiChain",
"version": 1,
"name": "openApiChain",
"type": "OpenAPIChain",
"baseClasses": ["OpenAPIChain", "BaseChain"],
"category": "Chains",
@ -78,7 +78,7 @@
},
{
"width": 300,
"height": 523,
"height": 574,
"id": "chatOpenAI_1",
"position": {
"x": 792.3201947594027,
@ -88,8 +88,8 @@
"data": {
"id": "chatOpenAI_1",
"label": "ChatOpenAI",
"name": "chatOpenAI",
"version": 2,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
"category": "Chat Models",
@ -259,8 +259,8 @@
"data": {
"id": "chainTool_0",
"label": "Chain Tool",
"name": "chainTool",
"version": 1,
"name": "chainTool",
"type": "ChainTool",
"baseClasses": ["ChainTool", "DynamicTool", "Tool", "StructuredTool"],
"category": "Tools",
@ -334,7 +334,7 @@
"id": "openAIFunctionAgent_0",
"label": "OpenAI Function Agent",
"name": "openAIFunctionAgent",
"version": 2,
"version": 3,
"type": "AgentExecutor",
"baseClasses": ["AgentExecutor", "BaseChain"],
"category": "Agents",
@ -367,8 +367,8 @@
{
"label": "OpenAI/Azure Chat Model",
"name": "model",
"type": "ChatOpenAI | AzureChatOpenAI",
"id": "openAIFunctionAgent_0-input-model-ChatOpenAI | AzureChatOpenAI"
"type": "BaseChatModel",
"id": "openAIFunctionAgent_0-input-model-BaseChatModel"
}
],
"inputs": {
@ -397,7 +397,7 @@
},
{
"width": 300,
"height": 523,
"height": 574,
"id": "chatOpenAI_2",
"position": {
"x": 1645.450699499575,
@ -407,8 +407,8 @@
"data": {
"id": "chatOpenAI_2",
"label": "ChatOpenAI",
"name": "chatOpenAI",
"version": 2,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
"category": "Chat Models",
@ -578,8 +578,8 @@
"data": {
"id": "bufferMemory_0",
"label": "Buffer Memory",
"name": "bufferMemory",
"version": 1,
"name": "bufferMemory",
"type": "BufferMemory",
"baseClasses": ["BufferMemory", "BaseChatMemory", "BaseMemory"],
"category": "Memory",
@ -657,17 +657,6 @@
"label": ""
}
},
{
"source": "chatOpenAI_2",
"sourceHandle": "chatOpenAI_2-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "openAIFunctionAgent_0",
"targetHandle": "openAIFunctionAgent_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOpenAI_2-chatOpenAI_2-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-openAIFunctionAgent_0-openAIFunctionAgent_0-input-model-BaseChatModel",
"data": {
"label": ""
}
},
{
"source": "bufferMemory_0",
"sourceHandle": "bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
@ -678,6 +667,17 @@
"data": {
"label": ""
}
},
{
"source": "chatOpenAI_2",
"sourceHandle": "chatOpenAI_2-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "openAIFunctionAgent_0",
"targetHandle": "openAIFunctionAgent_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOpenAI_2-chatOpenAI_2-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-openAIFunctionAgent_0-openAIFunctionAgent_0-input-model-BaseChatModel",
"data": {
"label": ""
}
}
]
}

52
packages/server/marketplaces/chatflows/API Agent.json
View File

@ -13,8 +13,8 @@
"data": {
"id": "getApiChain_0",
"label": "GET API Chain",
"name": "getApiChain",
"version": 1,
"name": "getApiChain",
"type": "GETApiChain",
"baseClasses": ["GETApiChain", "BaseChain", "BaseLangChain"],
"category": "Chains",
@ -102,8 +102,8 @@
"data": {
"id": "chainTool_0",
"label": "Chain Tool",
"name": "chainTool",
"version": 1,
"name": "chainTool",
"type": "ChainTool",
"baseClasses": ["ChainTool", "DynamicTool", "Tool", "StructuredTool", "BaseLangChain"],
"category": "Tools",
@ -176,8 +176,8 @@
"data": {
"id": "bufferMemory_0",
"label": "Buffer Memory",
"name": "bufferMemory",
"version": 1,
"name": "bufferMemory",
"type": "BufferMemory",
"baseClasses": ["BufferMemory", "BaseChatMemory", "BaseMemory"],
"category": "Memory",
@ -233,8 +233,8 @@
"data": {
"id": "chainTool_1",
"label": "Chain Tool",
"name": "chainTool",
"version": 1,
"name": "chainTool",
"type": "ChainTool",
"baseClasses": ["ChainTool", "DynamicTool", "Tool", "StructuredTool", "BaseLangChain"],
"category": "Tools",
@ -307,8 +307,8 @@
"data": {
"id": "postApiChain_0",
"label": "POST API Chain",
"name": "postApiChain",
"version": 1,
"name": "postApiChain",
"type": "POSTApiChain",
"baseClasses": ["POSTApiChain", "BaseChain", "BaseLangChain"],
"category": "Chains",
@ -386,7 +386,7 @@
},
{
"width": 300,
"height": 523,
"height": 574,
"id": "chatOpenAI_2",
"position": {
"x": 572.8941615312035,
@ -396,8 +396,8 @@
"data": {
"id": "chatOpenAI_2",
"label": "ChatOpenAI",
"name": "chatOpenAI",
"version": 2,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
"category": "Chat Models",
@ -557,7 +557,7 @@
},
{
"width": 300,
"height": 523,
"height": 574,
"id": "chatOpenAI_1",
"position": {
"x": 828.7788305309582,
@ -567,8 +567,8 @@
"data": {
"id": "chatOpenAI_1",
"label": "ChatOpenAI",
"name": "chatOpenAI",
"version": 2,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
"category": "Chat Models",
@ -728,7 +728,7 @@
},
{
"width": 300,
"height": 523,
"height": 574,
"id": "chatOpenAI_3",
"position": {
"x": 1148.338912314111,
@ -738,8 +738,8 @@
"data": {
"id": "chatOpenAI_3",
"label": "ChatOpenAI",
"name": "chatOpenAI",
"version": 2,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
"category": "Chat Models",
@ -869,7 +869,7 @@
}
],
"inputs": {
"modelName": "gpt-3.5-turbo",
"modelName": "gpt-3.5-turbo-16k",
"temperature": 0.9,
"maxTokens": "",
"topP": "",
@ -902,17 +902,17 @@
"height": 383,
"id": "conversationalAgent_0",
"position": {
"x": 2114.071431691489,
"y": 941.7926368551367
"x": 2090.570467632979,
"y": 969.5131357270544
},
"type": "customNode",
"data": {
"id": "conversationalAgent_0",
"label": "Conversational Agent",
"version": 2,
"name": "conversationalAgent",
"version": 1,
"type": "AgentExecutor",
"baseClasses": ["AgentExecutor", "BaseChain"],
"baseClasses": ["AgentExecutor", "BaseChain", "Runnable"],
"category": "Agents",
"description": "Conversational agent for a chat model. It will utilize chat specific prompts",
"inputParams": [
@ -938,8 +938,8 @@
{
"label": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "conversationalAgent_0-input-model-BaseLanguageModel"
"type": "BaseChatModel",
"id": "conversationalAgent_0-input-model-BaseChatModel"
},
{
"label": "Memory",
@ -956,21 +956,21 @@
},
"outputAnchors": [
{
"id": "conversationalAgent_0-output-conversationalAgent-AgentExecutor|BaseChain",
"id": "conversationalAgent_0-output-conversationalAgent-AgentExecutor|BaseChain|Runnable",
"name": "conversationalAgent",
"label": "AgentExecutor",
"type": "AgentExecutor | BaseChain"
"type": "AgentExecutor | BaseChain | Runnable"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"dragging": false,
"positionAbsolute": {
"x": 2114.071431691489,
"y": 941.7926368551367
}
"x": 2090.570467632979,
"y": 969.5131357270544
},
"dragging": false
}
],
"edges": [
@ -1044,9 +1044,9 @@
"source": "chatOpenAI_3",
"sourceHandle": "chatOpenAI_3-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "conversationalAgent_0",
"targetHandle": "conversationalAgent_0-input-model-BaseLanguageModel",
"targetHandle": "conversationalAgent_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOpenAI_3-chatOpenAI_3-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationalAgent_0-conversationalAgent_0-input-model-BaseLanguageModel",
"id": "chatOpenAI_3-chatOpenAI_3-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationalAgent_0-conversationalAgent_0-input-model-BaseChatModel",
"data": {
"label": ""
}

36
packages/server/marketplaces/chatflows/Conversational Agent.json
View File

@ -13,8 +13,8 @@
"data": {
"id": "calculator_1",
"label": "Calculator",
"name": "calculator",
"version": 1,
"name": "calculator",
"type": "Calculator",
"baseClasses": ["Calculator", "Tool", "StructuredTool", "BaseLangChain"],
"category": "Tools",
@ -52,8 +52,8 @@
"data": {
"id": "bufferMemory_1",
"label": "Buffer Memory",
"name": "bufferMemory",
"version": 1,
"name": "bufferMemory",
"type": "BufferMemory",
"baseClasses": ["BufferMemory", "BaseChatMemory", "BaseMemory"],
"category": "Memory",
@ -109,8 +109,8 @@
"data": {
"id": "serpAPI_0",
"label": "Serp API",
"name": "serpAPI",
"version": 1,
"name": "serpAPI",
"type": "SerpAPI",
"baseClasses": ["SerpAPI", "Tool", "StructuredTool"],
"category": "Tools",
@ -146,7 +146,7 @@
},
{
"width": 300,
"height": 523,
"height": 574,
"id": "chatOpenAI_0",
"position": {
"x": 97.01321406237057,
@ -156,8 +156,8 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"name": "chatOpenAI",
"version": 2,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
"category": "Chat Models",
@ -287,7 +287,7 @@
}
],
"inputs": {
"modelName": "gpt-3.5-turbo",
"modelName": "gpt-3.5-turbo-16k",
"temperature": 0.9,
"maxTokens": "",
"topP": "",
@ -320,17 +320,17 @@
"height": 383,
"id": "conversationalAgent_0",
"position": {
"x": 1164.4550359451973,
"y": 283.40041124403075
"x": 1191.1524476753796,
"y": 324.2479396683294
},
"type": "customNode",
"data": {
"id": "conversationalAgent_0",
"label": "Conversational Agent",
"version": 2,
"name": "conversationalAgent",
"version": 1,
"type": "AgentExecutor",
"baseClasses": ["AgentExecutor", "BaseChain"],
"baseClasses": ["AgentExecutor", "BaseChain", "Runnable"],
"category": "Agents",
"description": "Conversational agent for a chat model. It will utilize chat specific prompts",
"inputParams": [
@ -356,8 +356,8 @@
{
"label": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "conversationalAgent_0-input-model-BaseLanguageModel"
"type": "BaseChatModel",
"id": "conversationalAgent_0-input-model-BaseChatModel"
},
{
"label": "Memory",
@ -374,10 +374,10 @@
},
"outputAnchors": [
{
"id": "conversationalAgent_0-output-conversationalAgent-AgentExecutor|BaseChain",
"id": "conversationalAgent_0-output-conversationalAgent-AgentExecutor|BaseChain|Runnable",
"name": "conversationalAgent",
"label": "AgentExecutor",
"type": "AgentExecutor | BaseChain"
"type": "AgentExecutor | BaseChain | Runnable"
}
],
"outputs": {},
@ -385,8 +385,8 @@
},
"selected": false,
"positionAbsolute": {
"x": 1164.4550359451973,
"y": 283.40041124403075
"x": 1191.1524476753796,
"y": 324.2479396683294
},
"dragging": false
}
@ -418,9 +418,9 @@
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "conversationalAgent_0",
"targetHandle": "conversationalAgent_0-input-model-BaseLanguageModel",
"targetHandle": "conversationalAgent_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationalAgent_0-conversationalAgent_0-input-model-BaseLanguageModel",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationalAgent_0-conversationalAgent_0-input-model-BaseChatModel",
"data": {
"label": ""
}

10
packages/server/marketplaces/chatflows/Conversational Retrieval Agent.json
View File

@ -98,7 +98,7 @@
"data": {
"id": "conversationalRetrievalAgent_0",
"label": "Conversational Retrieval Agent",
"version": 2,
"version": 3,
"name": "conversationalRetrievalAgent",
"type": "AgentExecutor",
"baseClasses": ["AgentExecutor", "BaseChain", "Runnable"],
@ -132,8 +132,8 @@
{
"label": "OpenAI/Azure Chat Model",
"name": "model",
"type": "ChatOpenAI | AzureChatOpenAI",
"id": "conversationalRetrievalAgent_0-input-model-ChatOpenAI | AzureChatOpenAI"
"type": "BaseChatModel",
"id": "conversationalRetrievalAgent_0-input-model-BaseChatModel"
}
],
"inputs": {
@ -642,9 +642,9 @@
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
"target": "conversationalRetrievalAgent_0",
"targetHandle": "conversationalRetrievalAgent_0-input-model-ChatOpenAI",
"targetHandle": "conversationalRetrievalAgent_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-conversationalRetrievalAgent_0-conversationalRetrievalAgent_0-input-model-ChatOpenAI",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-conversationalRetrievalAgent_0-conversationalRetrievalAgent_0-input-model-BaseChatModel",
"data": {
"label": ""
}

198
packages/server/marketplaces/chatflows/Multiple VectorDB.json
View File

@ -1127,81 +1127,6 @@
},
"dragging": false
},
{
"width": 300,
"height": 383,
"id": "conversationalAgent_0",
"position": {
"x": 2506.011817109287,
"y": -241.58006840004734
},
"type": "customNode",
"data": {
"id": "conversationalAgent_0",
"label": "Conversational Agent",
"version": 1,
"name": "conversationalAgent",
"type": "AgentExecutor",
"baseClasses": ["AgentExecutor", "BaseChain", "Runnable"],
"category": "Agents",
"description": "Conversational agent for a chat model. It will utilize chat specific prompts",
"inputParams": [
{
"label": "System Message",
"name": "systemMessage",
"type": "string",
"rows": 4,
"default": "Assistant is a large language model trained by OpenAI.\n\nAssistant is designed to be able to assist with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics. As a language model, Assistant is able to generate human-like text based on the input it receives, allowing it to engage in natural-sounding conversations and provide responses that are coherent and relevant to the topic at hand.\n\nAssistant is constantly learning and improving, and its capabilities are constantly evolving. It is able to process and understand large amounts of text, and can use this knowledge to provide accurate and informative responses to a wide range of questions. Additionally, Assistant is able to generate its own text based on the input it receives, allowing it to engage in discussions and provide explanations and descriptions on a wide range of topics.\n\nOverall, Assistant is a powerful system that can help with a wide range of tasks and provide valuable insights and information on a wide range of topics. Whether you need help with a specific question or just want to have a conversation about a particular topic, Assistant is here to assist.",
"optional": true,
"additionalParams": true,
"id": "conversationalAgent_0-input-systemMessage-string"
}
],
"inputAnchors": [
{
"label": "Allowed Tools",
"name": "tools",
"type": "Tool",
"list": true,
"id": "conversationalAgent_0-input-tools-Tool"
},
{
"label": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "conversationalAgent_0-input-model-BaseLanguageModel"
},
{
"label": "Memory",
"name": "memory",
"type": "BaseChatMemory",
"id": "conversationalAgent_0-input-memory-BaseChatMemory"
}
],
"inputs": {
"tools": ["{{chainTool_2.data.instance}}", "{{chainTool_3.data.instance}}"],
"model": "{{chatOpenAI_2.data.instance}}",
"memory": "{{bufferMemory_0.data.instance}}",
"systemMessage": "Assistant is a large language model trained by OpenAI.\n\nAssistant is designed to be able to assist with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics. As a language model, Assistant is able to generate human-like text based on the input it receives, allowing it to engage in natural-sounding conversations and provide responses that are coherent and relevant to the topic at hand.\n\nAssistant is constantly learning and improving, and its capabilities are constantly evolving. It is able to process and understand large amounts of text, and can use this knowledge to provide accurate and informative responses to a wide range of questions. Additionally, Assistant is able to generate its own text based on the input it receives, allowing it to engage in discussions and provide explanations and descriptions on a wide range of topics.\n\nOverall, Assistant is a powerful system that can help with a wide range of tasks and provide valuable insights and information on a wide range of topics. Whether you need help with a specific question or just want to have a conversation about a particular topic, Assistant is here to assist."
},
"outputAnchors": [
{
"id": "conversationalAgent_0-output-conversationalAgent-AgentExecutor|BaseChain|Runnable",
"name": "conversationalAgent",
"label": "AgentExecutor",
"type": "AgentExecutor | BaseChain | Runnable"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
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"y": -241.58006840004734
},
"dragging": false
},
{
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"height": 574,
@ -1602,6 +1527,81 @@
"y": 75.96855802341503
},
"dragging": false
},
{
"width": 300,
"height": 383,
"id": "conversationalAgent_0",
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"x": 2432.125364763489,
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},
"type": "customNode",
"data": {
"id": "conversationalAgent_0",
"label": "Conversational Agent",
"version": 2,
"name": "conversationalAgent",
"type": "AgentExecutor",
"baseClasses": ["AgentExecutor", "BaseChain", "Runnable"],
"category": "Agents",
"description": "Conversational agent for a chat model. It will utilize chat specific prompts",
"inputParams": [
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"name": "systemMessage",
"type": "string",
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"optional": true,
"additionalParams": true,
"id": "conversationalAgent_0-input-systemMessage-string"
}
],
"inputAnchors": [
{
"label": "Allowed Tools",
"name": "tools",
"type": "Tool",
"list": true,
"id": "conversationalAgent_0-input-tools-Tool"
},
{
"label": "Language Model",
"name": "model",
"type": "BaseChatModel",
"id": "conversationalAgent_0-input-model-BaseChatModel"
},
{
"label": "Memory",
"name": "memory",
"type": "BaseChatMemory",
"id": "conversationalAgent_0-input-memory-BaseChatMemory"
}
],
"inputs": {
"tools": ["{{chainTool_2.data.instance}}", "{{chainTool_3.data.instance}}"],
"model": "{{chatOpenAI_2.data.instance}}",
"memory": "{{bufferMemory_0.data.instance}}",
"systemMessage": "Assistant is a large language model trained by OpenAI.\n\nAssistant is designed to be able to assist with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics. As a language model, Assistant is able to generate human-like text based on the input it receives, allowing it to engage in natural-sounding conversations and provide responses that are coherent and relevant to the topic at hand.\n\nAssistant is constantly learning and improving, and its capabilities are constantly evolving. It is able to process and understand large amounts of text, and can use this knowledge to provide accurate and informative responses to a wide range of questions. Additionally, Assistant is able to generate its own text based on the input it receives, allowing it to engage in discussions and provide explanations and descriptions on a wide range of topics.\n\nOverall, Assistant is a powerful system that can help with a wide range of tasks and provide valuable insights and information on a wide range of topics. Whether you need help with a specific question or just want to have a conversation about a particular topic, Assistant is here to assist."
},
"outputAnchors": [
{
"id": "conversationalAgent_0-output-conversationalAgent-AgentExecutor|BaseChain|Runnable",
"name": "conversationalAgent",
"label": "AgentExecutor",
"type": "AgentExecutor | BaseChain | Runnable"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 2432.125364763489,
"y": -105.27942167533908
},
"dragging": false
}
],
"edges": [
@ -1704,6 +1704,28 @@
"label": ""
}
},
{
"source": "plainText_1",
"sourceHandle": "plainText_1-output-document-Document",
"target": "faiss_0",
"targetHandle": "faiss_0-input-document-Document",
"type": "buttonedge",
"id": "plainText_1-plainText_1-output-document-Document-faiss_0-faiss_0-input-document-Document",
"data": {
"label": ""
}
},
{
"source": "recursiveCharacterTextSplitter_0",
"sourceHandle": "recursiveCharacterTextSplitter_0-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter|BaseDocumentTransformer|Runnable",
"target": "plainText_1",
"targetHandle": "plainText_1-input-textSplitter-TextSplitter",
"type": "buttonedge",
"id": "recursiveCharacterTextSplitter_0-recursiveCharacterTextSplitter_0-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter|BaseDocumentTransformer|Runnable-plainText_1-plainText_1-input-textSplitter-TextSplitter",
"data": {
"label": ""
}
},
{
"source": "chainTool_2",
"sourceHandle": "chainTool_2-output-chainTool-ChainTool|DynamicTool|Tool|StructuredTool|BaseLangChain",
@ -1730,9 +1752,9 @@
"source": "chatOpenAI_2",
"sourceHandle": "chatOpenAI_2-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
"target": "conversationalAgent_0",
"targetHandle": "conversationalAgent_0-input-model-BaseLanguageModel",
"targetHandle": "conversationalAgent_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOpenAI_2-chatOpenAI_2-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-conversationalAgent_0-conversationalAgent_0-input-model-BaseLanguageModel",
"id": "chatOpenAI_2-chatOpenAI_2-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-conversationalAgent_0-conversationalAgent_0-input-model-BaseChatModel",
"data": {
"label": ""
}
@ -1747,28 +1769,6 @@
"data": {
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}
},
{
"source": "plainText_1",
"sourceHandle": "plainText_1-output-document-Document",
"target": "faiss_0",
"targetHandle": "faiss_0-input-document-Document",
"type": "buttonedge",
"id": "plainText_1-plainText_1-output-document-Document-faiss_0-faiss_0-input-document-Document",
"data": {
"label": ""
}
},
{
"source": "recursiveCharacterTextSplitter_0",
"sourceHandle": "recursiveCharacterTextSplitter_0-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter|BaseDocumentTransformer|Runnable",
"target": "plainText_1",
"targetHandle": "plainText_1-input-textSplitter-TextSplitter",
"type": "buttonedge",
"id": "recursiveCharacterTextSplitter_0-recursiveCharacterTextSplitter_0-output-recursiveCharacterTextSplitter-RecursiveCharacterTextSplitter|TextSplitter|BaseDocumentTransformer|Runnable-plainText_1-plainText_1-input-textSplitter-TextSplitter",
"data": {
"label": ""
}
}
]
}

40
packages/server/marketplaces/chatflows/OpenAI Agent.json
View File

@ -13,8 +13,8 @@
"data": {
"id": "calculator_0",
"label": "Calculator",
"name": "calculator",
"version": 1,
"name": "calculator",
"type": "Calculator",
"baseClasses": ["Calculator", "Tool", "StructuredTool", "BaseLangChain", "Serializable"],
"category": "Tools",
@ -52,8 +52,8 @@
"data": {
"id": "bufferMemory_0",
"label": "Buffer Memory",
"name": "bufferMemory",
"version": 1,
"name": "bufferMemory",
"type": "BufferMemory",
"baseClasses": ["BufferMemory", "BaseChatMemory", "BaseMemory"],
"category": "Memory",
@ -109,8 +109,8 @@
"data": {
"id": "customTool_0",
"label": "Custom Tool",
"name": "customTool",
"version": 1,
"name": "customTool",
"type": "CustomTool",
"baseClasses": ["CustomTool", "Tool", "StructuredTool"],
"category": "Tools",
@ -158,8 +158,8 @@
"data": {
"id": "serper_0",
"label": "Serper",
"name": "serper",
"version": 1,
"name": "serper",
"type": "Serper",
"baseClasses": ["Serper", "Tool", "StructuredTool"],
"category": "Tools",
@ -206,7 +206,7 @@
"id": "openAIFunctionAgent_0",
"label": "OpenAI Function Agent",
"name": "openAIFunctionAgent",
"version": 2,
"version": 3,
"type": "AgentExecutor",
"baseClasses": ["AgentExecutor", "BaseChain"],
"category": "Agents",
@ -239,8 +239,8 @@
{
"label": "OpenAI/Azure Chat Model",
"name": "model",
"type": "ChatOpenAI | AzureChatOpenAI",
"id": "openAIFunctionAgent_0-input-model-ChatOpenAI | AzureChatOpenAI"
"type": "BaseChatModel",
"id": "openAIFunctionAgent_0-input-model-BaseChatModel"
}
],
"inputs": {
@ -269,7 +269,7 @@
},
{
"width": 300,
"height": 523,
"height": 574,
"id": "chatOpenAI_0",
"position": {
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@ -279,8 +279,8 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"name": "chatOpenAI",
"version": 2,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
"category": "Chat Models",
@ -473,17 +473,6 @@
"label": ""
}
},
{
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "openAIFunctionAgent_0",
"targetHandle": "openAIFunctionAgent_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-openAIFunctionAgent_0-openAIFunctionAgent_0-input-model-BaseChatModel",
"data": {
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}
},
{
"source": "bufferMemory_0",
"sourceHandle": "bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
@ -494,6 +483,17 @@
"data": {
"label": ""
}
},
{
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "openAIFunctionAgent_0",
"targetHandle": "openAIFunctionAgent_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-openAIFunctionAgent_0-openAIFunctionAgent_0-input-model-BaseChatModel",
"data": {
"label": ""
}
}
]
}

11
packages/server/marketplaces/chatflows/OpenAI Assistant.json
View File

@ -14,7 +14,7 @@
"data": {
"id": "openAIAssistant_0",
"label": "OpenAI Assistant",
"version": 1,
"version": 2,
"name": "openAIAssistant",
"type": "OpenAIAssistant",
"baseClasses": ["OpenAIAssistant"],
@ -27,6 +27,15 @@
"type": "asyncOptions",
"loadMethod": "listAssistants",
"id": "openAIAssistant_0-input-selectedAssistant-asyncOptions"
},
{
"label": "Disable File Download",
"name": "disableFileDownload",
"type": "boolean",
"description": "Messages can contain text, images, or files. In some cases, you may want to prevent others from downloading the files. Learn more from OpenAI File Annotation <a target=\"_blank\" href=\"https://platform.openai.com/docs/assistants/how-it-works/managing-threads-and-messages\">docs</a>",
"optional": true,
"additionalParams": true,
"id": "openAIAssistant_0-input-disableFileDownload-boolean"
}
],
"inputAnchors": [

188
packages/server/marketplaces/chatflows/WebBrowser.json
View File

@ -13,8 +13,8 @@
"data": {
"id": "bufferMemory_0",
"label": "Buffer Memory",
"name": "bufferMemory",
"version": 1,
"name": "bufferMemory",
"type": "BufferMemory",
"baseClasses": ["BufferMemory", "BaseChatMemory", "BaseMemory"],
"category": "Memory",
@ -70,8 +70,8 @@
"data": {
"id": "webBrowser_0",
"label": "Web Browser",
"name": "webBrowser",
"version": 1,
"name": "webBrowser",
"type": "WebBrowser",
"baseClasses": ["WebBrowser", "Tool", "StructuredTool", "BaseLangChain"],
"category": "Tools",
@ -115,82 +115,7 @@
},
{
"width": 300,
"height": 383,
"id": "conversationalAgent_0",
"position": {
"x": 1464.513303631911,
"y": 155.73036805253955
},
"type": "customNode",
"data": {
"id": "conversationalAgent_0",
"label": "Conversational Agent",
"name": "conversationalAgent",
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"baseClasses": ["AgentExecutor", "BaseChain"],
"category": "Agents",
"description": "Conversational agent for a chat model. It will utilize chat specific prompts",
"inputParams": [
{
"label": "System Message",
"name": "systemMessage",
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"default": "Assistant is a large language model trained by OpenAI.\n\nAssistant is designed to be able to assist with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics. As a language model, Assistant is able to generate human-like text based on the input it receives, allowing it to engage in natural-sounding conversations and provide responses that are coherent and relevant to the topic at hand.\n\nAssistant is constantly learning and improving, and its capabilities are constantly evolving. It is able to process and understand large amounts of text, and can use this knowledge to provide accurate and informative responses to a wide range of questions. Additionally, Assistant is able to generate its own text based on the input it receives, allowing it to engage in discussions and provide explanations and descriptions on a wide range of topics.\n\nOverall, Assistant is a powerful system that can help with a wide range of tasks and provide valuable insights and information on a wide range of topics. Whether you need help with a specific question or just want to have a conversation about a particular topic, Assistant is here to assist.",
"optional": true,
"additionalParams": true,
"id": "conversationalAgent_0-input-systemMessage-string"
}
],
"inputAnchors": [
{
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"name": "tools",
"type": "Tool",
"list": true,
"id": "conversationalAgent_0-input-tools-Tool"
},
{
"label": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "conversationalAgent_0-input-model-BaseLanguageModel"
},
{
"label": "Memory",
"name": "memory",
"type": "BaseChatMemory",
"id": "conversationalAgent_0-input-memory-BaseChatMemory"
}
],
"inputs": {
"tools": ["{{webBrowser_0.data.instance}}"],
"model": "{{chatOpenAI_1.data.instance}}",
"memory": "{{bufferMemory_0.data.instance}}",
"systemMessage": "Assistant is a large language model trained by OpenAI.\n\nAssistant is designed to be able to assist with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics. As a language model, Assistant is able to generate human-like text based on the input it receives, allowing it to engage in natural-sounding conversations and provide responses that are coherent and relevant to the topic at hand.\n\nAssistant is constantly learning and improving, and its capabilities are constantly evolving. It is able to process and understand large amounts of text, and can use this knowledge to provide accurate and informative responses to a wide range of questions. Additionally, Assistant is able to generate its own text based on the input it receives, allowing it to engage in discussions and provide explanations and descriptions on a wide range of topics.\n\nOverall, Assistant is a powerful system that can help with a wide range of tasks and provide valuable insights and information on a wide range of topics. Whether you need help with a specific question or just want to have a conversation about a particular topic, Assistant is here to assist."
},
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"name": "conversationalAgent",
"label": "AgentExecutor",
"type": "AgentExecutor | BaseChain"
}
],
"outputs": {},
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},
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"positionAbsolute": {
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"y": 155.73036805253955
},
"dragging": false
},
{
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"height": 523,
"height": 574,
"id": "chatOpenAI_0",
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@ -200,8 +125,8 @@
"data": {
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"name": "chatOpenAI",
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"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
"category": "Chat Models",
@ -371,8 +296,8 @@
"data": {
"id": "openAIEmbeddings_0",
"label": "OpenAI Embeddings",
"name": "openAIEmbeddings",
"version": 1,
"name": "openAIEmbeddings",
"type": "OpenAIEmbeddings",
"baseClasses": ["OpenAIEmbeddings", "Embeddings"],
"category": "Embeddings",
@ -445,7 +370,7 @@
},
{
"width": 300,
"height": 523,
"height": 574,
"id": "chatOpenAI_1",
"position": {
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@ -455,8 +380,8 @@
"data": {
"id": "chatOpenAI_1",
"label": "ChatOpenAI",
"name": "chatOpenAI",
"version": 2,
"name": "chatOpenAI",
"type": "ChatOpenAI",
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
"category": "Chat Models",
@ -586,7 +511,7 @@
}
],
"inputs": {
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"modelName": "gpt-3.5-turbo-16k",
"temperature": 0.9,
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"topP": "",
@ -613,6 +538,81 @@
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},
{
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"optional": true,
"additionalParams": true,
"id": "conversationalAgent_0-input-systemMessage-string"
}
],
"inputAnchors": [
{
"label": "Allowed Tools",
"name": "tools",
"type": "Tool",
"list": true,
"id": "conversationalAgent_0-input-tools-Tool"
},
{
"label": "Language Model",
"name": "model",
"type": "BaseChatModel",
"id": "conversationalAgent_0-input-model-BaseChatModel"
},
{
"label": "Memory",
"name": "memory",
"type": "BaseChatMemory",
"id": "conversationalAgent_0-input-memory-BaseChatMemory"
}
],
"inputs": {
"tools": ["{{webBrowser_0.data.instance}}"],
"model": "{{chatOpenAI_1.data.instance}}",
"memory": "{{bufferMemory_0.data.instance}}",
"systemMessage": "Assistant is a large language model trained by OpenAI.\n\nAssistant is designed to be able to assist with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics. As a language model, Assistant is able to generate human-like text based on the input it receives, allowing it to engage in natural-sounding conversations and provide responses that are coherent and relevant to the topic at hand.\n\nAssistant is constantly learning and improving, and its capabilities are constantly evolving. It is able to process and understand large amounts of text, and can use this knowledge to provide accurate and informative responses to a wide range of questions. Additionally, Assistant is able to generate its own text based on the input it receives, allowing it to engage in discussions and provide explanations and descriptions on a wide range of topics.\n\nOverall, Assistant is a powerful system that can help with a wide range of tasks and provide valuable insights and information on a wide range of topics. Whether you need help with a specific question or just want to have a conversation about a particular topic, Assistant is here to assist."
},
"outputAnchors": [
{
"id": "conversationalAgent_0-output-conversationalAgent-AgentExecutor|BaseChain|Runnable",
"name": "conversationalAgent",
"label": "AgentExecutor",
"type": "AgentExecutor | BaseChain | Runnable"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1518.944765840293,
"y": 212.2513364217197
},
"dragging": false
}
],
"edges": [
@ -638,17 +638,6 @@
"label": ""
}
},
{
"source": "chatOpenAI_1",
"sourceHandle": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "conversationalAgent_0",
"targetHandle": "conversationalAgent_0-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "chatOpenAI_1-chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationalAgent_0-conversationalAgent_0-input-model-BaseLanguageModel",
"data": {
"label": ""
}
},
{
"source": "webBrowser_0",
"sourceHandle": "webBrowser_0-output-webBrowser-WebBrowser|Tool|StructuredTool|BaseLangChain",
@ -660,6 +649,17 @@
"label": ""
}
},
{
"source": "chatOpenAI_1",
"sourceHandle": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
"target": "conversationalAgent_0",
"targetHandle": "conversationalAgent_0-input-model-BaseChatModel",
"type": "buttonedge",
"id": "chatOpenAI_1-chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-conversationalAgent_0-conversationalAgent_0-input-model-BaseChatModel",
"data": {
"label": ""
}
},
{
"source": "bufferMemory_0",
"sourceHandle": "bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",

6
packages/server/src/Interface.ts
View File

@ -190,12 +190,6 @@ export interface IOverrideConfig {
type: string
}
export interface IDatabaseExport {
chatmessages: IChatMessage[]
chatflows: IChatFlow[]
apikeys: ICommonObject[]
}
export type ICredentialDataDecrypted = ICommonObject
// Plain credential object sent to server

98
packages/server/src/index.ts
View File

@ -17,7 +17,6 @@ import {
IReactFlowNode,
IReactFlowObject,
INodeData,
IDatabaseExport,
ICredentialReturnResponse,
chatType,
IChatMessage,
@ -31,18 +30,11 @@ import {
constructGraphs,
resolveVariables,
isStartNodeDependOnInput,
getAPIKeys,
addAPIKey,
updateAPIKey,
deleteAPIKey,
compareKeys,
mapMimeTypeToInputField,
findAvailableConfigs,
isSameOverrideConfig,
replaceAllAPIKeys,
isFlowValidForStream,
databaseEntities,
getApiKey,
transformToCredentialEntity,
decryptCredentialData,
clearAllSessionMemory,
@ -50,7 +42,8 @@ import {
getEncryptionKey,
checkMemorySessionId,
clearSessionMemoryFromViewMessageDialog,
getUserHome
getUserHome,
replaceChatHistory
} from './utils'
import { cloneDeep, omit, uniqWith, isEqual } from 'lodash'
import { getDataSource } from './DataSource'
@ -62,8 +55,9 @@ import { Tool } from './database/entities/Tool'
import { Assistant } from './database/entities/Assistant'
import { ChatflowPool } from './ChatflowPool'
import { CachePool } from './CachePool'
import { ICommonObject, INodeOptionsValue } from 'flowise-components'
import { ICommonObject, IMessage, INodeOptionsValue } from 'flowise-components'
import { createRateLimiter, getRateLimiter, initializeRateLimiter } from './utils/rateLimit'
import { addAPIKey, compareKeys, deleteAPIKey, getApiKey, getAPIKeys, updateAPIKey } from './utils/apiKey'
export class App {
app: express.Application
@ -1025,57 +1019,6 @@ export class App {
}
})
// ----------------------------------------
// Export Load Chatflow & ChatMessage & Apikeys
// ----------------------------------------
this.app.get('/api/v1/database/export', async (req: Request, res: Response) => {
const chatmessages = await this.AppDataSource.getRepository(ChatMessage).find()
const chatflows = await this.AppDataSource.getRepository(ChatFlow).find()
const apikeys = await getAPIKeys()
const result: IDatabaseExport = {
chatmessages,
chatflows,
apikeys
}
return res.json(result)
})
this.app.post('/api/v1/database/load', async (req: Request, res: Response) => {
const databaseItems: IDatabaseExport = req.body
await this.AppDataSource.getRepository(ChatFlow).delete({})
await this.AppDataSource.getRepository(ChatMessage).delete({})
let error = ''
// Get a new query runner instance
const queryRunner = this.AppDataSource.createQueryRunner()
// Start a new transaction
await queryRunner.startTransaction()
try {
const chatflows: ChatFlow[] = databaseItems.chatflows
const chatmessages: ChatMessage[] = databaseItems.chatmessages
await queryRunner.manager.insert(ChatFlow, chatflows)
await queryRunner.manager.insert(ChatMessage, chatmessages)
await queryRunner.commitTransaction()
} catch (err: any) {
error = err?.message ?? 'Error loading database'
await queryRunner.rollbackTransaction()
} finally {
await queryRunner.release()
}
await replaceAllAPIKeys(databaseItems.apikeys)
if (error) return res.status(500).send(error)
return res.status(201).send('OK')
})
// ----------------------------------------
// Upsert
// ----------------------------------------
@ -1325,14 +1268,14 @@ export class App {
* @param {IReactFlowEdge[]} edges
* @returns {string | undefined}
*/
findMemoryLabel(nodes: IReactFlowNode[], edges: IReactFlowEdge[]): string | undefined {
findMemoryLabel(nodes: IReactFlowNode[], edges: IReactFlowEdge[]): IReactFlowNode | undefined {
const memoryNodes = nodes.filter((node) => node.data.category === 'Memory')
const memoryNodeIds = memoryNodes.map((mem) => mem.data.id)
for (const edge of edges) {
if (memoryNodeIds.includes(edge.source)) {
const memoryNode = nodes.find((node) => node.data.id === edge.source)
return memoryNode ? memoryNode.data.label : undefined
return memoryNode
}
}
return undefined
@ -1453,6 +1396,19 @@ export class App {
isStreamValid = isFlowValidForStream(nodes, endingNodeData)
let chatHistory: IMessage[] | string = incomingInput.history
if (
endingNodeData.inputs?.memory &&
!incomingInput.history &&
(incomingInput.chatId || incomingInput.overrideConfig?.sessionId)
) {
const memoryNodeId = endingNodeData.inputs?.memory.split('.')[0].replace('{{', '')
const memoryNode = nodes.find((node) => node.data.id === memoryNodeId)
if (memoryNode) {
chatHistory = await replaceChatHistory(memoryNode, incomingInput, this.AppDataSource, databaseEntities, logger)
}
}
/*** Get Starting Nodes with Non-Directed Graph ***/
const constructedObj = constructGraphs(nodes, edges, true)
const nonDirectedGraph = constructedObj.graph
@ -1467,7 +1423,7 @@ export class App {
depthQueue,
this.nodesPool.componentNodes,
incomingInput.question,
incomingInput.history,
chatHistory,
chatId,
chatflowid,
this.AppDataSource,
@ -1487,7 +1443,7 @@ export class App {
nodeToExecute.data,
reactFlowNodes,
incomingInput.question,
incomingInput.history
chatHistory
)
nodeToExecuteData = reactFlowNodeData
@ -1504,11 +1460,17 @@ export class App {
let sessionId = undefined
if (nodeToExecuteData.instance) sessionId = checkMemorySessionId(nodeToExecuteData.instance, chatId)
const memoryType = this.findMemoryLabel(nodes, edges)
const memoryNode = this.findMemoryLabel(nodes, edges)
const memoryType = memoryNode?.data.label
let chatHistory: IMessage[] | string = incomingInput.history
if (memoryNode && !incomingInput.history && (incomingInput.chatId || incomingInput.overrideConfig?.sessionId)) {
chatHistory = await replaceChatHistory(memoryNode, incomingInput, this.AppDataSource, databaseEntities, logger)
}
let result = isStreamValid
? await nodeInstance.run(nodeToExecuteData, incomingInput.question, {
chatHistory: incomingInput.history,
chatHistory,
socketIO,
socketIOClientId: incomingInput.socketIOClientId,
logger,
@ -1518,7 +1480,7 @@ export class App {
chatId
})
: await nodeInstance.run(nodeToExecuteData, incomingInput.question, {
chatHistory: incomingInput.history,
chatHistory,
logger,
appDataSource: this.AppDataSource,
databaseEntities,

147
packages/server/src/utils/apiKey.ts Normal file
View File

@ -0,0 +1,147 @@
import { randomBytes, scryptSync, timingSafeEqual } from 'crypto'
import { ICommonObject } from 'flowise-components'
import moment from 'moment'
import fs from 'fs'
import path from 'path'
import logger from './logger'
/**
* Returns the api key path
* @returns {string}
*/
export const getAPIKeyPath = (): string => {
return process.env.APIKEY_PATH ? path.join(process.env.APIKEY_PATH, 'api.json') : path.join(__dirname, '..', '..', 'api.json')
}
/**
* Generate the api key
* @returns {string}
*/
export const generateAPIKey = (): string => {
const buffer = randomBytes(32)
return buffer.toString('base64')
}
/**
* Generate the secret key
* @param {string} apiKey
* @returns {string}
*/
export const generateSecretHash = (apiKey: string): string => {
const salt = randomBytes(8).toString('hex')
const buffer = scryptSync(apiKey, salt, 64) as Buffer
return `${buffer.toString('hex')}.${salt}`
}
/**
* Verify valid keys
* @param {string} storedKey
* @param {string} suppliedKey
* @returns {boolean}
*/
export const compareKeys = (storedKey: string, suppliedKey: string): boolean => {
const [hashedPassword, salt] = storedKey.split('.')
const buffer = scryptSync(suppliedKey, salt, 64) as Buffer
return timingSafeEqual(Buffer.from(hashedPassword, 'hex'), buffer)
}
/**
* Get API keys
* @returns {Promise<ICommonObject[]>}
*/
export const getAPIKeys = async (): Promise<ICommonObject[]> => {
try {
const content = await fs.promises.readFile(getAPIKeyPath(), 'utf8')
return JSON.parse(content)
} catch (error) {
const keyName = 'DefaultKey'
const apiKey = generateAPIKey()
const apiSecret = generateSecretHash(apiKey)
const content = [
{
keyName,
apiKey,
apiSecret,
createdAt: moment().format('DD-MMM-YY'),
id: randomBytes(16).toString('hex')
}
]
await fs.promises.writeFile(getAPIKeyPath(), JSON.stringify(content), 'utf8')
return content
}
}
/**
* Add new API key
* @param {string} keyName
* @returns {Promise<ICommonObject[]>}
*/
export const addAPIKey = async (keyName: string): Promise<ICommonObject[]> => {
const existingAPIKeys = await getAPIKeys()
const apiKey = generateAPIKey()
const apiSecret = generateSecretHash(apiKey)
const content = [
...existingAPIKeys,
{
keyName,
apiKey,
apiSecret,
createdAt: moment().format('DD-MMM-YY'),
id: randomBytes(16).toString('hex')
}
]
await fs.promises.writeFile(getAPIKeyPath(), JSON.stringify(content), 'utf8')
return content
}
/**
* Get API Key details
* @param {string} apiKey
* @returns {Promise<ICommonObject[]>}
*/
export const getApiKey = async (apiKey: string) => {
const existingAPIKeys = await getAPIKeys()
const keyIndex = existingAPIKeys.findIndex((key) => key.apiKey === apiKey)
if (keyIndex < 0) return undefined
return existingAPIKeys[keyIndex]
}
/**
* Update existing API key
* @param {string} keyIdToUpdate
* @param {string} newKeyName
* @returns {Promise<ICommonObject[]>}
*/
export const updateAPIKey = async (keyIdToUpdate: string, newKeyName: string): Promise<ICommonObject[]> => {
const existingAPIKeys = await getAPIKeys()
const keyIndex = existingAPIKeys.findIndex((key) => key.id === keyIdToUpdate)
if (keyIndex < 0) return []
existingAPIKeys[keyIndex].keyName = newKeyName
await fs.promises.writeFile(getAPIKeyPath(), JSON.stringify(existingAPIKeys), 'utf8')
return existingAPIKeys
}
/**
* Delete API key
* @param {string} keyIdToDelete
* @returns {Promise<ICommonObject[]>}
*/
export const deleteAPIKey = async (keyIdToDelete: string): Promise<ICommonObject[]> => {
const existingAPIKeys = await getAPIKeys()
const result = existingAPIKeys.filter((key) => key.id !== keyIdToDelete)
await fs.promises.writeFile(getAPIKeyPath(), JSON.stringify(result), 'utf8')
return result
}
/**
* Replace all api keys
* @param {ICommonObject[]} content
* @returns {Promise<void>}
*/
export const replaceAllAPIKeys = async (content: ICommonObject[]): Promise<void> => {
try {
await fs.promises.writeFile(getAPIKeyPath(), JSON.stringify(content), 'utf8')
} catch (error) {
logger.error(error)
}
}

261
packages/server/src/utils/index.ts
View File

@ -1,33 +1,33 @@
import path from 'path'
import fs from 'fs'
import moment from 'moment'
import logger from './logger'
import {
IComponentCredentials,
IComponentNodes,
ICredentialDataDecrypted,
ICredentialReqBody,
IDepthQueue,
IExploredNode,
INodeData,
INodeDependencies,
INodeDirectedGraph,
INodeQueue,
IOverrideConfig,
IReactFlowEdge,
IReactFlowNode,
IVariableDict,
INodeData,
IOverrideConfig,
ICredentialDataDecrypted,
IComponentCredentials,
ICredentialReqBody
IncomingInput
} from '../Interface'
import { cloneDeep, get, isEqual } from 'lodash'
import {
ICommonObject,
convertChatHistoryToText,
getInputVariables,
IDatabaseEntity,
handleEscapeCharacters,
IMessage,
convertChatHistoryToText
ICommonObject,
IDatabaseEntity,
IMessage
} from 'flowise-components'
import { scryptSync, randomBytes, timingSafeEqual } from 'crypto'
import { randomBytes } from 'crypto'
import { AES, enc } from 'crypto-js'
import { ChatFlow } from '../database/entities/ChatFlow'
@ -217,7 +217,7 @@ export const buildLangchain = async (
depthQueue: IDepthQueue,
componentNodes: IComponentNodes,
question: string,
chatHistory: IMessage[],
chatHistory: IMessage[] | string,
chatId: string,
chatflowid: string,
appDataSource: DataSource,
@ -348,8 +348,8 @@ export const clearAllSessionMemory = async (
node.data.inputs.sessionId = sessionId
}
if (newNodeInstance.clearSessionMemory) {
await newNodeInstance?.clearSessionMemory(node.data, { chatId, appDataSource, databaseEntities, logger })
if (newNodeInstance.memoryMethods && newNodeInstance.memoryMethods.clearSessionMemory) {
await newNodeInstance.memoryMethods.clearSessionMemory(node.data, { chatId, appDataSource, databaseEntities, logger })
}
}
}
@ -381,8 +381,8 @@ export const clearSessionMemoryFromViewMessageDialog = async (
if (sessionId && node.data.inputs) node.data.inputs.sessionId = sessionId
if (newNodeInstance.clearSessionMemory) {
await newNodeInstance?.clearSessionMemory(node.data, { chatId, appDataSource, databaseEntities, logger })
if (newNodeInstance.memoryMethods && newNodeInstance.memoryMethods.clearSessionMemory) {
await newNodeInstance.memoryMethods.clearSessionMemory(node.data, { chatId, appDataSource, databaseEntities, logger })
return
}
}
@ -400,7 +400,7 @@ export const getVariableValue = (
paramValue: string,
reactFlowNodes: IReactFlowNode[],
question: string,
chatHistory: IMessage[],
chatHistory: IMessage[] | string,
isAcceptVariable = false
) => {
let returnVal = paramValue
@ -433,7 +433,10 @@ export const getVariableValue = (
}
if (isAcceptVariable && variableFullPath === CHAT_HISTORY_VAR_PREFIX) {
variableDict[`{{${variableFullPath}}}`] = handleEscapeCharacters(convertChatHistoryToText(chatHistory), false)
variableDict[`{{${variableFullPath}}}`] = handleEscapeCharacters(
typeof chatHistory === 'string' ? chatHistory : convertChatHistoryToText(chatHistory),
false
)
}
// Split by first occurrence of '.' to get just nodeId
@ -476,7 +479,7 @@ export const resolveVariables = (
reactFlowNodeData: INodeData,
reactFlowNodes: IReactFlowNode[],
question: string,
chatHistory: IMessage[]
chatHistory: IMessage[] | string
): INodeData => {
let flowNodeData = cloneDeep(reactFlowNodeData)
const types = 'inputs'
@ -555,9 +558,20 @@ export const isStartNodeDependOnInput = (startingNodes: IReactFlowNode[], nodes:
if (inputVariables.length > 0) return true
}
}
const whitelistNodeNames = ['vectorStoreToDocument', 'autoGPT']
const whitelistNodeNames = ['vectorStoreToDocument', 'autoGPT', 'chatPromptTemplate', 'promptTemplate'] //If these nodes are found, chatflow cannot be reused
for (const node of nodes) {
if (whitelistNodeNames.includes(node.data.name)) return true
if (node.data.name === 'chatPromptTemplate' || node.data.name === 'promptTemplate') {
let promptValues: ICommonObject = {}
const promptValuesRaw = node.data.inputs?.promptValues
if (promptValuesRaw) {
try {
promptValues = typeof promptValuesRaw === 'object' ? promptValuesRaw : JSON.parse(promptValuesRaw)
} catch (exception) {
console.error(exception)
}
}
if (getAllValuesFromJson(promptValues).includes(`{{${QUESTION_VAR_PREFIX}}}`)) return true
} else if (whitelistNodeNames.includes(node.data.name)) return true
}
return false
}
@ -593,147 +607,6 @@ export const isSameOverrideConfig = (
return false
}
/**
* Returns the api key path
* @returns {string}
*/
export const getAPIKeyPath = (): string => {
return process.env.APIKEY_PATH ? path.join(process.env.APIKEY_PATH, 'api.json') : path.join(__dirname, '..', '..', 'api.json')
}
/**
* Generate the api key
* @returns {string}
*/
export const generateAPIKey = (): string => {
const buffer = randomBytes(32)
return buffer.toString('base64')
}
/**
* Generate the secret key
* @param {string} apiKey
* @returns {string}
*/
export const generateSecretHash = (apiKey: string): string => {
const salt = randomBytes(8).toString('hex')
const buffer = scryptSync(apiKey, salt, 64) as Buffer
return `${buffer.toString('hex')}.${salt}`
}
/**
* Verify valid keys
* @param {string} storedKey
* @param {string} suppliedKey
* @returns {boolean}
*/
export const compareKeys = (storedKey: string, suppliedKey: string): boolean => {
const [hashedPassword, salt] = storedKey.split('.')
const buffer = scryptSync(suppliedKey, salt, 64) as Buffer
return timingSafeEqual(Buffer.from(hashedPassword, 'hex'), buffer)
}
/**
* Get API keys
* @returns {Promise<ICommonObject[]>}
*/
export const getAPIKeys = async (): Promise<ICommonObject[]> => {
try {
const content = await fs.promises.readFile(getAPIKeyPath(), 'utf8')
return JSON.parse(content)
} catch (error) {
const keyName = 'DefaultKey'
const apiKey = generateAPIKey()
const apiSecret = generateSecretHash(apiKey)
const content = [
{
keyName,
apiKey,
apiSecret,
createdAt: moment().format('DD-MMM-YY'),
id: randomBytes(16).toString('hex')
}
]
await fs.promises.writeFile(getAPIKeyPath(), JSON.stringify(content), 'utf8')
return content
}
}
/**
* Add new API key
* @param {string} keyName
* @returns {Promise<ICommonObject[]>}
*/
export const addAPIKey = async (keyName: string): Promise<ICommonObject[]> => {
const existingAPIKeys = await getAPIKeys()
const apiKey = generateAPIKey()
const apiSecret = generateSecretHash(apiKey)
const content = [
...existingAPIKeys,
{
keyName,
apiKey,
apiSecret,
createdAt: moment().format('DD-MMM-YY'),
id: randomBytes(16).toString('hex')
}
]
await fs.promises.writeFile(getAPIKeyPath(), JSON.stringify(content), 'utf8')
return content
}
/**
* Get API Key details
* @param {string} apiKey
* @returns {Promise<ICommonObject[]>}
*/
export const getApiKey = async (apiKey: string) => {
const existingAPIKeys = await getAPIKeys()
const keyIndex = existingAPIKeys.findIndex((key) => key.apiKey === apiKey)
if (keyIndex < 0) return undefined
return existingAPIKeys[keyIndex]
}
/**
* Update existing API key
* @param {string} keyIdToUpdate
* @param {string} newKeyName
* @returns {Promise<ICommonObject[]>}
*/
export const updateAPIKey = async (keyIdToUpdate: string, newKeyName: string): Promise<ICommonObject[]> => {
const existingAPIKeys = await getAPIKeys()
const keyIndex = existingAPIKeys.findIndex((key) => key.id === keyIdToUpdate)
if (keyIndex < 0) return []
existingAPIKeys[keyIndex].keyName = newKeyName
await fs.promises.writeFile(getAPIKeyPath(), JSON.stringify(existingAPIKeys), 'utf8')
return existingAPIKeys
}
/**
* Delete API key
* @param {string} keyIdToDelete
* @returns {Promise<ICommonObject[]>}
*/
export const deleteAPIKey = async (keyIdToDelete: string): Promise<ICommonObject[]> => {
const existingAPIKeys = await getAPIKeys()
const result = existingAPIKeys.filter((key) => key.id !== keyIdToDelete)
await fs.promises.writeFile(getAPIKeyPath(), JSON.stringify(result), 'utf8')
return result
}
/**
* Replace all api keys
* @param {ICommonObject[]} content
* @returns {Promise<void>}
*/
export const replaceAllAPIKeys = async (content: ICommonObject[]): Promise<void> => {
try {
await fs.promises.writeFile(getAPIKeyPath(), JSON.stringify(content), 'utf8')
} catch (error) {
logger.error(error)
}
}
/**
* Map MimeType to InputField
* @param {string} mimeType
@ -1015,3 +888,67 @@ export const checkMemorySessionId = (instance: any, chatId: string): string | un
return instance.memory.chatHistory.sessionId
return undefined
}
/**
* Replace chatHistory if incomingInput.history is empty and sessionId/chatId is provided
* @param {IReactFlowNode} memoryNode
* @param {IncomingInput} incomingInput
* @param {DataSource} appDataSource
* @param {IDatabaseEntity} databaseEntities
* @param {any} logger
* @returns {string}
*/
export const replaceChatHistory = async (
memoryNode: IReactFlowNode,
incomingInput: IncomingInput,
appDataSource: DataSource,
databaseEntities: IDatabaseEntity,
logger: any
): Promise<string> => {
const nodeInstanceFilePath = memoryNode.data.filePath as string
const nodeModule = await import(nodeInstanceFilePath)
const newNodeInstance = new nodeModule.nodeClass()
if (incomingInput.overrideConfig?.sessionId && memoryNode.data.inputs) {
memoryNode.data.inputs.sessionId = incomingInput.overrideConfig.sessionId
}
if (newNodeInstance.memoryMethods && newNodeInstance.memoryMethods.getChatMessages) {
return await newNodeInstance.memoryMethods.getChatMessages(memoryNode.data, {
chatId: incomingInput.chatId,
appDataSource,
databaseEntities,
logger
})
}
return ''
}
/**
* Get all values from a JSON object
* @param {any} obj
* @returns {any[]}
*/
export const getAllValuesFromJson = (obj: any): any[] => {
const values: any[] = []
function extractValues(data: any) {
if (typeof data === 'object' && data !== null) {
if (Array.isArray(data)) {
for (const item of data) {
extractValues(item)
}
} else {
for (const key in data) {
extractValues(data[key])
}
}
} else {
values.push(data)
}
}
extractValues(obj)
return values
}

9
packages/ui/src/api/database.js
View File

@ -1,9 +0,0 @@
import client from './client'
const getExportDatabase = () => client.get('/database/export')
const createLoadDatabase = (body) => client.post('/database/load', body)
export default {
getExportDatabase,
createLoadDatabase
}

94
packages/ui/src/layout/MainLayout/Header/ProfileSection/index.jsx
View File

@ -1,7 +1,6 @@
import { useState, useRef, useEffect } from 'react'
import PropTypes from 'prop-types'
import { useSelector, useDispatch } from 'react-redux'
import { useNavigate } from 'react-router-dom'
import { useSelector } from 'react-redux'
// material-ui
import { useTheme } from '@mui/material/styles'
@ -24,18 +23,12 @@ import {
import PerfectScrollbar from 'react-perfect-scrollbar'
// project imports
import MainCard from '@/ui-component/cards/MainCard'
import Transitions from '@/ui-component/extended/Transitions'
import { BackdropLoader } from '@/ui-component/loading/BackdropLoader'
import AboutDialog from '@/ui-component/dialog/AboutDialog'
import MainCard from 'ui-component/cards/MainCard'
import Transitions from 'ui-component/extended/Transitions'
import AboutDialog from 'ui-component/dialog/AboutDialog'
// assets
import { IconLogout, IconSettings, IconFileExport, IconFileDownload, IconInfoCircle } from '@tabler/icons'
// API
import databaseApi from '@/api/database'
import { SET_MENU } from '@/store/actions'
import { IconLogout, IconSettings, IconInfoCircle } from '@tabler/icons'
import './index.css'
@ -43,17 +36,13 @@ import './index.css'
const ProfileSection = ({ username, handleLogout }) => {
const theme = useTheme()
const dispatch = useDispatch()
const navigate = useNavigate()
const customization = useSelector((state) => state.customization)
const [open, setOpen] = useState(false)
const [loading, setLoading] = useState(false)
const [aboutDialogOpen, setAboutDialogOpen] = useState(false)
const anchorRef = useRef(null)
const uploadRef = useRef(null)
const handleClose = (event) => {
if (anchorRef.current && anchorRef.current.contains(event.target)) {
@ -66,56 +55,6 @@ const ProfileSection = ({ username, handleLogout }) => {
setOpen((prevOpen) => !prevOpen)
}
const handleExportDB = async () => {
setOpen(false)
try {
const response = await databaseApi.getExportDatabase()
const exportItems = response.data
let dataStr = JSON.stringify(exportItems, null, 2)
let dataUri = 'data:application/json;charset=utf-8,' + encodeURIComponent(dataStr)
let exportFileDefaultName = `DB.json`
let linkElement = document.createElement('a')
linkElement.setAttribute('href', dataUri)
linkElement.setAttribute('download', exportFileDefaultName)
linkElement.click()
} catch (e) {
console.error(e)
}
}
const handleFileUpload = (e) => {
if (!e.target.files) return
const file = e.target.files[0]
const reader = new FileReader()
reader.onload = async (evt) => {
if (!evt?.target?.result) {
return
}
const { result } = evt.target
if (result.includes(`"chatmessages":[`) && result.includes(`"chatflows":[`) && result.includes(`"apikeys":[`)) {
dispatch({ type: SET_MENU, opened: false })
setLoading(true)
try {
await databaseApi.createLoadDatabase(JSON.parse(result))
setLoading(false)
navigate('/', { replace: true })
navigate(0)
} catch (e) {
console.error(e)
setLoading(false)
}
} else {
alert('Incorrect Flowise Database Format')
}
}
reader.readAsText(file)
}
const prevOpen = useRef(open)
useEffect(() => {
if (prevOpen.current === true && open === false) {
@ -196,27 +135,6 @@ const ProfileSection = ({ username, handleLogout }) => {
}
}}
>
<ListItemButton
sx={{ borderRadius: `${customization.borderRadius}px` }}
onClick={() => {
setOpen(false)
uploadRef.current.click()
}}
>
<ListItemIcon>
<IconFileDownload stroke={1.5} size='1.3rem' />
</ListItemIcon>
<ListItemText primary={<Typography variant='body2'>Load Database</Typography>} />
</ListItemButton>
<ListItemButton
sx={{ borderRadius: `${customization.borderRadius}px` }}
onClick={handleExportDB}
>
<ListItemIcon>
<IconFileExport stroke={1.5} size='1.3rem' />
</ListItemIcon>
<ListItemText primary={<Typography variant='body2'>Export Database</Typography>} />
</ListItemButton>
<ListItemButton
sx={{ borderRadius: `${customization.borderRadius}px` }}
onClick={() => {
@ -249,8 +167,6 @@ const ProfileSection = ({ username, handleLogout }) => {
</Transitions>
)}
</Popper>
<input ref={uploadRef} type='file' hidden accept='.json' onChange={(e) => handleFileUpload(e)} />
<BackdropLoader open={loading} />
<AboutDialog show={aboutDialogOpen} onCancel={() => setAboutDialogOpen(false)} />
</>
)

20
packages/ui/src/ui-component/button/FlowListMenu.jsx
View File

@ -15,19 +15,18 @@ import Button from '@mui/material/Button'
import KeyboardArrowDownIcon from '@mui/icons-material/KeyboardArrowDown'
import { IconX } from '@tabler/icons'
import chatflowsApi from '@/api/chatflows'
import chatflowsApi from 'api/chatflows'
import useApi from '@/hooks/useApi'
import useConfirm from '@/hooks/useConfirm'
import { uiBaseURL } from '@/store/constant'
import { closeSnackbar as closeSnackbarAction, enqueueSnackbar as enqueueSnackbarAction } from '@/store/actions'
import useApi from '../../hooks/useApi'
import useConfirm from 'hooks/useConfirm'
import { uiBaseURL } from '../../store/constant'
import { closeSnackbar as closeSnackbarAction, enqueueSnackbar as enqueueSnackbarAction } from '../../store/actions'
import ConfirmDialog from '@/ui-component/dialog/ConfirmDialog'
import SaveChatflowDialog from '@/ui-component/dialog/SaveChatflowDialog'
import TagDialog from '@/ui-component/dialog/TagDialog'
import SaveChatflowDialog from '../dialog/SaveChatflowDialog'
import TagDialog from '../dialog/TagDialog'
import { generateExportFlowData } from '@/utils/genericHelper'
import useNotifier from '@/utils/useNotifier'
import { generateExportFlowData } from '../../utils/genericHelper'
import useNotifier from '../../utils/useNotifier'
const StyledMenu = styled((props) => (
<Menu
@ -264,7 +263,6 @@ export default function FlowListMenu({ chatflow, updateFlowsApi }) {
Delete
</MenuItem>
</StyledMenu>
<ConfirmDialog />
<SaveChatflowDialog
show={flowDialogOpen}
dialogProps={{

4
packages/ui/src/ui-component/table/FlowListTable.jsx
View File

@ -69,7 +69,9 @@ export const FlowListTable = ({ data, images, filterFunction, updateFlowsApi })
<Typography
sx={{ fontSize: '1.2rem', fontWeight: 500, overflowWrap: 'break-word', whiteSpace: 'pre-line' }}
>
<Button onClick={() => goToCanvas(row)}>{row.templateName || row.name}</Button>
<Button onClick={() => goToCanvas(row)} sx={{ textAlign: 'left' }}>
{row.templateName || row.name}
</Button>
</Typography>
</TableCell>
<TableCell key='1'>

2
packages/ui/src/views/canvas/index.jsx
View File

@ -170,7 +170,7 @@ const Canvas = () => {
try {
await chatflowsApi.deleteChatflow(chatflow.id)
localStorage.removeItem(`${chatflow.id}_INTERNAL`)
navigate(-1)
navigate('/')
} catch (error) {
const errorData = error.response.data || `${error.response.status}: ${error.response.statusText}`
enqueueSnackbar({

18
packages/ui/src/views/chatflows/index.jsx
View File

@ -7,20 +7,21 @@ import { Grid, Box, Stack, Toolbar, ToggleButton, ButtonGroup, InputAdornment, T
import { useTheme } from '@mui/material/styles'
// project imports
import MainCard from '@/ui-component/cards/MainCard'
import ItemCard from '@/ui-component/cards/ItemCard'
import { gridSpacing } from '@/store/constant'
import WorkflowEmptySVG from '@/assets/images/workflow_empty.svg'
import LoginDialog from '@/ui-component/dialog/LoginDialog'
import MainCard from 'ui-component/cards/MainCard'
import ItemCard from 'ui-component/cards/ItemCard'
import { gridSpacing } from 'store/constant'
import WorkflowEmptySVG from 'assets/images/workflow_empty.svg'
import LoginDialog from 'ui-component/dialog/LoginDialog'
import ConfirmDialog from 'ui-component/dialog/ConfirmDialog'
// API
import chatflowsApi from '@/api/chatflows'
import chatflowsApi from 'api/chatflows'
// Hooks
import useApi from '@/hooks/useApi'
import useApi from 'hooks/useApi'
// const
import { baseURL } from '@/store/constant'
import { baseURL } from 'store/constant'
// icons
import { IconPlus, IconSearch, IconLayoutGrid, IconList } from '@tabler/icons'
@ -212,6 +213,7 @@ const Chatflows = () => {
</Stack>
)}
<LoginDialog show={loginDialogOpen} dialogProps={loginDialogProps} onConfirm={onLoginClick} />
<ConfirmDialog />
</MainCard>
)
}