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Merge branch 'main' into FEATURE/Vision 

# Conflicts:
#	packages/server/src/database/migrations/mysql/index.ts
#	packages/server/src/database/migrations/postgres/index.ts
#	packages/server/src/database/migrations/sqlite/index.ts
This commit is contained in:
Henry 2024-01-08 16:15:22 +00:00
parent d3ce6f859c 33c74261ec
commit 7f15494d60
134 changed files with 2526 additions and 513 deletions
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1
CONTRIBUTING.md
View File

@ -138,6 +138,7 @@ Flowise support different environment variables to configure your instance. You
| DATABASE_USER | Database username (When DATABASE_TYPE is not sqlite) | String | |
| DATABASE_PASSWORD | Database password (When DATABASE_TYPE is not sqlite) | String | |
| DATABASE_NAME | Database name (When DATABASE_TYPE is not sqlite) | String | |
| DATABASE_SSL | Database connection overssl (When DATABASE_TYPE is postgre) | Boolean | false |
| SECRETKEY_PATH | Location where encryption key (used to encrypt/decrypt credentials) is saved | String | `your-path/Flowise/packages/server` |
| FLOWISE_SECRETKEY_OVERWRITE | Encryption key to be used instead of the key stored in SECRETKEY_PATH | String |

16
LICENSE.md
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@ -2,22 +2,6 @@
Version 2.0, January 2004
http://www.apache.org/licenses/
Flowise is governed by the Apache License 2.0, with additional terms and conditions outlined below:
Flowise can be used for commercial purposes for "backend-as-a-service" for your applications or as a development platform for enterprises. However, under specific conditions, you must reach out to the project's administrators to secure a commercial license:
a. Multi-tenant SaaS service: Unless you have explicit written authorization from Flowise, you may not utilize the Flowise source code to operate a multi-tenant SaaS service that closely resembles the Flowise cloud-based services.
b. Logo and copyright information: While using Flowise in commercial application, you are prohibited from removing or altering the LOGO or copyright information displayed in the Flowise console and UI.
For inquiries regarding licensing matters, please contact hello@flowiseai.com via email.
Contributors are required to consent to the following terms related to their contributed code:
a. The project maintainers have the authority to modify the open-source agreement to be more stringent or lenient.
b. Contributed code can be used for commercial purposes, including Flowise's cloud-based services.
All other rights and restrictions are in accordance with the Apache License 2.0.
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.

1
docker/.env.example
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@ -12,6 +12,7 @@ LOG_PATH=/root/.flowise/logs
# DATABASE_NAME="flowise"
# DATABASE_USER=""
# DATABASE_PASSWORD=""
# DATABASE_SSL=true
# FLOWISE_USERNAME=user
# FLOWISE_PASSWORD=1234

1
docker/docker-compose.yml
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@ -16,6 +16,7 @@ services:
- DATABASE_NAME=${DATABASE_NAME}
- DATABASE_USER=${DATABASE_USER}
- DATABASE_PASSWORD=${DATABASE_PASSWORD}
- DATABASE_SSL=${DATABASE_SSL}
- APIKEY_PATH=${APIKEY_PATH}
- SECRETKEY_PATH=${SECRETKEY_PATH}
- FLOWISE_SECRETKEY_OVERWRITE=${FLOWISE_SECRETKEY_OVERWRITE}

2
package.json
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@ -1,6 +1,6 @@
{
"name": "flowise",
"version": "1.4.7",
"version": "1.4.9",
"private": true,
"homepage": "https://flowiseai.com",
"workspaces": [

96
packages/components/nodes/agents/OpenAIAssistant/OpenAIAssistant.ts
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@ -9,6 +9,8 @@ import fetch from 'node-fetch'
import { flatten, uniqWith, isEqual } from 'lodash'
import { zodToJsonSchema } from 'zod-to-json-schema'
import { AnalyticHandler } from '../../../src/handler'
import { Moderation, checkInputs, streamResponse } from '../../moderation/Moderation'
import { formatResponse } from '../../outputparsers/OutputParserHelpers'
class OpenAIAssistant_Agents implements INode {
label: string
@ -24,7 +26,7 @@ class OpenAIAssistant_Agents implements INode {
constructor() {
this.label = 'OpenAI Assistant'
this.name = 'openAIAssistant'
this.version = 2.0
this.version = 3.0
this.type = 'OpenAIAssistant'
this.category = 'Agents'
this.icon = 'assistant.svg'
@ -43,6 +45,14 @@ class OpenAIAssistant_Agents implements INode {
type: 'Tool',
list: true
},
{
label: 'Input Moderation',
description: 'Detect text that could generate harmful output and prevent it from being sent to the language model',
name: 'inputModeration',
type: 'Moderation',
optional: true,
list: true
},
{
label: 'Disable File Download',
name: 'disableFileDownload',
@ -133,6 +143,20 @@ class OpenAIAssistant_Agents implements INode {
const appDataSource = options.appDataSource as DataSource
const databaseEntities = options.databaseEntities as IDatabaseEntity
const disableFileDownload = nodeData.inputs?.disableFileDownload as boolean
const moderations = nodeData.inputs?.inputModeration as Moderation[]
const isStreaming = options.socketIO && options.socketIOClientId
const socketIO = isStreaming ? options.socketIO : undefined
const socketIOClientId = isStreaming ? options.socketIOClientId : ''
if (moderations && moderations.length > 0) {
try {
input = await checkInputs(moderations, input)
} catch (e) {
await new Promise((resolve) => setTimeout(resolve, 500))
streamResponse(isStreaming, e.message, socketIO, socketIOClientId)
return formatResponse(e.message)
}
}
let tools = nodeData.inputs?.tools
tools = flatten(tools)
@ -249,7 +273,12 @@ class OpenAIAssistant_Agents implements INode {
const actions: ICommonObject[] = []
run.required_action.submit_tool_outputs.tool_calls.forEach((item) => {
const functionCall = item.function
const args = JSON.parse(functionCall.arguments)
let args = {}
try {
args = JSON.parse(functionCall.arguments)
} catch (e) {
console.error('Error parsing arguments, default to empty object')
}
actions.push({
tool: functionCall.name,
toolInput: args,
@ -264,31 +293,50 @@ class OpenAIAssistant_Agents implements INode {
// Start tool analytics
const toolIds = await analyticHandlers.onToolStart(tool.name, actions[i].toolInput, parentIds)
if (options.socketIO && options.socketIOClientId)
options.socketIO.to(options.socketIOClientId).emit('tool', tool.name)
const toolOutput = await tool.call(actions[i].toolInput)
// End tool analytics
await analyticHandlers.onToolEnd(toolIds, toolOutput)
submitToolOutputs.push({
tool_call_id: actions[i].toolCallId,
output: toolOutput
})
usedTools.push({
tool: tool.name,
toolInput: actions[i].toolInput,
toolOutput
})
try {
const toolOutput = await tool.call(actions[i].toolInput, undefined, undefined, threadId)
await analyticHandlers.onToolEnd(toolIds, toolOutput)
submitToolOutputs.push({
tool_call_id: actions[i].toolCallId,
output: toolOutput
})
usedTools.push({
tool: tool.name,
toolInput: actions[i].toolInput,
toolOutput
})
} catch (e) {
await analyticHandlers.onToolEnd(toolIds, e)
console.error('Error executing tool', e)
clearInterval(timeout)
reject(
new Error(
`Error processing thread: ${state}, Thread ID: ${threadId}, Run ID: ${runId}, Tool: ${tool.name}`
)
)
break
}
}
if (submitToolOutputs.length) {
await openai.beta.threads.runs.submitToolOutputs(threadId, runId, {
tool_outputs: submitToolOutputs
})
resolve(state)
} else {
await openai.beta.threads.runs.cancel(threadId, runId)
resolve('requires_action_retry')
const newRun = await openai.beta.threads.runs.retrieve(threadId, runId)
const newStatus = newRun?.status
try {
if (submitToolOutputs.length && newStatus === 'requires_action') {
await openai.beta.threads.runs.submitToolOutputs(threadId, runId, {
tool_outputs: submitToolOutputs
})
resolve(state)
} else {
await openai.beta.threads.runs.cancel(threadId, runId)
resolve('requires_action_retry')
}
} catch (e) {
clearInterval(timeout)
reject(new Error(`Error submitting tool outputs: ${state}, Thread ID: ${threadId}, Run ID: ${runId}`))
}
}
} else if (state === 'cancelled' || state === 'expired' || state === 'failed') {

350
packages/components/nodes/agents/OpenAIFunctionAgent/OpenAIFunctionAgent.ts
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@ -1,10 +1,17 @@
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { initializeAgentExecutorWithOptions, AgentExecutor } from 'langchain/agents'
import { getBaseClasses, mapChatHistory } from '../../../src/utils'
import { BaseLanguageModel } from 'langchain/base_language'
import { FlowiseMemory, ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { AgentExecutor as LCAgentExecutor, AgentExecutorInput } from 'langchain/agents'
import { ChainValues, AgentStep, AgentFinish, AgentAction, BaseMessage, FunctionMessage, AIMessage } from 'langchain/schema'
import { OutputParserException } from 'langchain/schema/output_parser'
import { CallbackManagerForChainRun } from 'langchain/callbacks'
import { formatToOpenAIFunction } from 'langchain/tools'
import { ToolInputParsingException, Tool } from '@langchain/core/tools'
import { getBaseClasses } from '../../../src/utils'
import { flatten } from 'lodash'
import { BaseChatMemory } from 'langchain/memory'
import { RunnableSequence } from 'langchain/schema/runnable'
import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler'
import { ChatPromptTemplate, MessagesPlaceholder } from 'langchain/prompts'
import { ChatOpenAI } from 'langchain/chat_models/openai'
import { OpenAIFunctionsAgentOutputParser } from 'langchain/agents/openai/output_parser'
class OpenAIFunctionAgent_Agents implements INode {
label: string
@ -16,8 +23,9 @@ class OpenAIFunctionAgent_Agents implements INode {
category: string
baseClasses: string[]
inputs: INodeParams[]
sessionId?: string
constructor() {
constructor(fields: { sessionId?: string }) {
this.label = 'OpenAI Function Agent'
this.name = 'openAIFunctionAgent'
this.version = 3.0
@ -25,7 +33,7 @@ class OpenAIFunctionAgent_Agents implements INode {
this.category = 'Agents'
this.icon = 'function.svg'
this.description = `An agent that uses Function Calling to pick the tool and args to call`
this.baseClasses = [this.type, ...getBaseClasses(AgentExecutor)]
this.baseClasses = [this.type, ...getBaseClasses(LCAgentExecutor)]
this.inputs = [
{
label: 'Allowed Tools',
@ -52,54 +60,324 @@ class OpenAIFunctionAgent_Agents implements INode {
additionalParams: true
}
]
this.sessionId = fields?.sessionId
}
async init(nodeData: INodeData): Promise<any> {
const model = nodeData.inputs?.model as BaseLanguageModel
const memory = nodeData.inputs?.memory as BaseChatMemory
const systemMessage = nodeData.inputs?.systemMessage as string
const memory = nodeData.inputs?.memory as FlowiseMemory
let tools = nodeData.inputs?.tools
tools = flatten(tools)
const executor = await initializeAgentExecutorWithOptions(tools, model, {
agentType: 'openai-functions',
verbose: process.env.DEBUG === 'true' ? true : false,
agentArgs: {
prefix: systemMessage ?? `You are a helpful AI assistant.`
}
})
const executor = prepareAgent(nodeData, this.sessionId)
if (memory) executor.memory = memory
return executor
}
async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
const executor = nodeData.instance as AgentExecutor
const memory = nodeData.inputs?.memory as BaseChatMemory
const memory = nodeData.inputs?.memory as FlowiseMemory
if (options && options.chatHistory) {
const chatHistoryClassName = memory.chatHistory.constructor.name
// Only replace when its In-Memory
if (chatHistoryClassName && chatHistoryClassName === 'ChatMessageHistory') {
memory.chatHistory = mapChatHistory(options)
executor.memory = memory
}
}
;(executor.memory as any).returnMessages = true // Return true for BaseChatModel
const executor = prepareAgent(nodeData, this.sessionId)
const loggerHandler = new ConsoleCallbackHandler(options.logger)
const callbacks = await additionalCallbacks(nodeData, options)
let res: ChainValues = {}
if (options.socketIO && options.socketIOClientId) {
const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId)
const result = await executor.run(input, [loggerHandler, handler, ...callbacks])
return result
res = await executor.invoke({ input }, { callbacks: [loggerHandler, handler, ...callbacks] })
} else {
const result = await executor.run(input, [loggerHandler, ...callbacks])
return result
res = await executor.invoke({ input }, { callbacks: [loggerHandler, ...callbacks] })
}
await memory.addChatMessages(
[
{
text: input,
type: 'userMessage'
},
{
text: res?.output,
type: 'apiMessage'
}
],
this.sessionId
)
return res?.output
}
}
const formatAgentSteps = (steps: AgentStep[]): BaseMessage[] =>
steps.flatMap(({ action, observation }) => {
if ('messageLog' in action && action.messageLog !== undefined) {
const log = action.messageLog as BaseMessage[]
return log.concat(new FunctionMessage(observation, action.tool))
} else {
return [new AIMessage(action.log)]
}
})
const prepareAgent = (nodeData: INodeData, sessionId?: string) => {
const model = nodeData.inputs?.model as ChatOpenAI
const memory = nodeData.inputs?.memory as FlowiseMemory
const systemMessage = nodeData.inputs?.systemMessage as string
let tools = nodeData.inputs?.tools
tools = flatten(tools)
const memoryKey = memory.memoryKey ? memory.memoryKey : 'chat_history'
const inputKey = memory.inputKey ? memory.inputKey : 'input'
const prompt = ChatPromptTemplate.fromMessages([
['ai', systemMessage ? systemMessage : `You are a helpful AI assistant.`],
new MessagesPlaceholder(memoryKey),
['human', `{${inputKey}}`],
new MessagesPlaceholder('agent_scratchpad')
])
const modelWithFunctions = model.bind({
functions: [...tools.map((tool: any) => formatToOpenAIFunction(tool))]
})
const runnableAgent = RunnableSequence.from([
{
[inputKey]: (i: { input: string; steps: AgentStep[] }) => i.input,
agent_scratchpad: (i: { input: string; steps: AgentStep[] }) => formatAgentSteps(i.steps),
[memoryKey]: async (_: { input: string; steps: AgentStep[] }) => {
const messages = (await memory.getChatMessages(sessionId, true)) as BaseMessage[]
return messages ?? []
}
},
prompt,
modelWithFunctions,
new OpenAIFunctionsAgentOutputParser()
])
const executor = AgentExecutor.fromAgentAndTools({
agent: runnableAgent,
tools,
sessionId
})
return executor
}
type AgentExecutorOutput = ChainValues
class AgentExecutor extends LCAgentExecutor {
sessionId?: string
static fromAgentAndTools(fields: AgentExecutorInput & { sessionId?: string }): AgentExecutor {
const newInstance = new AgentExecutor(fields)
if (fields.sessionId) newInstance.sessionId = fields.sessionId
return newInstance
}
shouldContinueIteration(iterations: number): boolean {
return this.maxIterations === undefined || iterations < this.maxIterations
}
async _call(inputs: ChainValues, runManager?: CallbackManagerForChainRun): Promise<AgentExecutorOutput> {
const toolsByName = Object.fromEntries(this.tools.map((t) => [t.name.toLowerCase(), t]))
const steps: AgentStep[] = []
let iterations = 0
const getOutput = async (finishStep: AgentFinish): Promise<AgentExecutorOutput> => {
const { returnValues } = finishStep
const additional = await this.agent.prepareForOutput(returnValues, steps)
if (this.returnIntermediateSteps) {
return { ...returnValues, intermediateSteps: steps, ...additional }
}
await runManager?.handleAgentEnd(finishStep)
return { ...returnValues, ...additional }
}
while (this.shouldContinueIteration(iterations)) {
let output
try {
output = await this.agent.plan(steps, inputs, runManager?.getChild())
} catch (e) {
if (e instanceof OutputParserException) {
let observation
let text = e.message
if (this.handleParsingErrors === true) {
if (e.sendToLLM) {
observation = e.observation
text = e.llmOutput ?? ''
} else {
observation = 'Invalid or incomplete response'
}
} else if (typeof this.handleParsingErrors === 'string') {
observation = this.handleParsingErrors
} else if (typeof this.handleParsingErrors === 'function') {
observation = this.handleParsingErrors(e)
} else {
throw e
}
output = {
tool: '_Exception',
toolInput: observation,
log: text
} as AgentAction
} else {
throw e
}
}
// Check if the agent has finished
if ('returnValues' in output) {
return getOutput(output)
}
let actions: AgentAction[]
if (Array.isArray(output)) {
actions = output as AgentAction[]
} else {
actions = [output as AgentAction]
}
const newSteps = await Promise.all(
actions.map(async (action) => {
await runManager?.handleAgentAction(action)
const tool = action.tool === '_Exception' ? new ExceptionTool() : toolsByName[action.tool?.toLowerCase()]
let observation
try {
// here we need to override Tool call method to include sessionId as parameter
observation = tool
? // @ts-ignore
await tool.call(action.toolInput, runManager?.getChild(), undefined, this.sessionId)
: `${action.tool} is not a valid tool, try another one.`
} catch (e) {
if (e instanceof ToolInputParsingException) {
if (this.handleParsingErrors === true) {
observation = 'Invalid or incomplete tool input. Please try again.'
} else if (typeof this.handleParsingErrors === 'string') {
observation = this.handleParsingErrors
} else if (typeof this.handleParsingErrors === 'function') {
observation = this.handleParsingErrors(e)
} else {
throw e
}
observation = await new ExceptionTool().call(observation, runManager?.getChild())
return { action, observation: observation ?? '' }
}
}
return { action, observation: observation ?? '' }
})
)
steps.push(...newSteps)
const lastStep = steps[steps.length - 1]
const lastTool = toolsByName[lastStep.action.tool?.toLowerCase()]
if (lastTool?.returnDirect) {
return getOutput({
returnValues: { [this.agent.returnValues[0]]: lastStep.observation },
log: ''
})
}
iterations += 1
}
const finish = await this.agent.returnStoppedResponse(this.earlyStoppingMethod, steps, inputs)
return getOutput(finish)
}
async _takeNextStep(
nameToolMap: Record<string, Tool>,
inputs: ChainValues,
intermediateSteps: AgentStep[],
runManager?: CallbackManagerForChainRun
): Promise<AgentFinish | AgentStep[]> {
let output
try {
output = await this.agent.plan(intermediateSteps, inputs, runManager?.getChild())
} catch (e) {
if (e instanceof OutputParserException) {
let observation
let text = e.message
if (this.handleParsingErrors === true) {
if (e.sendToLLM) {
observation = e.observation
text = e.llmOutput ?? ''
} else {
observation = 'Invalid or incomplete response'
}
} else if (typeof this.handleParsingErrors === 'string') {
observation = this.handleParsingErrors
} else if (typeof this.handleParsingErrors === 'function') {
observation = this.handleParsingErrors(e)
} else {
throw e
}
output = {
tool: '_Exception',
toolInput: observation,
log: text
} as AgentAction
} else {
throw e
}
}
if ('returnValues' in output) {
return output
}
let actions: AgentAction[]
if (Array.isArray(output)) {
actions = output as AgentAction[]
} else {
actions = [output as AgentAction]
}
const result: AgentStep[] = []
for (const agentAction of actions) {
let observation = ''
if (runManager) {
await runManager?.handleAgentAction(agentAction)
}
if (agentAction.tool in nameToolMap) {
const tool = nameToolMap[agentAction.tool]
try {
// here we need to override Tool call method to include sessionId as parameter
// @ts-ignore
observation = await tool.call(agentAction.toolInput, runManager?.getChild(), undefined, this.sessionId)
} catch (e) {
if (e instanceof ToolInputParsingException) {
if (this.handleParsingErrors === true) {
observation = 'Invalid or incomplete tool input. Please try again.'
} else if (typeof this.handleParsingErrors === 'string') {
observation = this.handleParsingErrors
} else if (typeof this.handleParsingErrors === 'function') {
observation = this.handleParsingErrors(e)
} else {
throw e
}
observation = await new ExceptionTool().call(observation, runManager?.getChild())
}
}
} else {
observation = `${agentAction.tool} is not a valid tool, try another available tool: ${Object.keys(nameToolMap).join(', ')}`
}
result.push({
action: agentAction,
observation
})
}
return result
}
}
class ExceptionTool extends Tool {
name = '_Exception'
description = 'Exception tool'
async _call(query: string) {
return query
}
}

6
packages/components/nodes/chatmodels/AWSBedrock/aws.svg
View File

@ -1,5 +1 @@
<svg width="32" height="32" viewBox="0 0 32 32" fill="none" xmlns="http://www.w3.org/2000/svg">
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packages/components/nodes/chatmodels/AzureChatOpenAI/AzureChatOpenAI.ts
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@ -1,7 +1,6 @@
import { OpenAIBaseInput } from 'langchain/dist/types/openai-types'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { AzureOpenAIInput, ChatOpenAI } from 'langchain/chat_models/openai'
import { AzureOpenAIInput, ChatOpenAI, OpenAIChatInput } from 'langchain/chat_models/openai'
import { BaseCache } from 'langchain/schema'
import { BaseLLMParams } from 'langchain/llms/base'
@ -123,7 +122,7 @@ class AzureChatOpenAI_ChatModels implements INode {
const azureOpenAIApiDeploymentName = getCredentialParam('azureOpenAIApiDeploymentName', credentialData, nodeData)
const azureOpenAIApiVersion = getCredentialParam('azureOpenAIApiVersion', credentialData, nodeData)
const obj: Partial<AzureOpenAIInput> & BaseLLMParams & Partial<OpenAIBaseInput> = {
const obj: Partial<AzureOpenAIInput> & BaseLLMParams & Partial<OpenAIChatInput> = {
temperature: parseFloat(temperature),
modelName,
azureOpenAIApiKey,

2
packages/components/nodes/chatmodels/Bittensor/Bittensor.ts
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@ -19,7 +19,7 @@ class Bittensor_ChatModels implements INode {
this.name = 'NIBittensorChatModel'
this.version = 2.0
this.type = 'BittensorChat'
this.icon = 'logo.png'
this.icon = 'NIBittensor.svg'
this.category = 'Chat Models'
this.description = 'Wrapper around Bittensor subnet 1 large language models'
this.baseClasses = [this.type, ...getBaseClasses(NIBittensorChatModel)]

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packages/components/nodes/chatmodels/ChatAnthropic/Anthropic.svg Normal file
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packages/components/nodes/chatmodels/ChatAnthropic/ChatAnthropic.ts
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@ -21,7 +21,7 @@ class ChatAnthropic_ChatModels implements INode {
this.name = 'chatAnthropic'
this.version = 3.0
this.type = 'ChatAnthropic'
this.icon = 'chatAnthropic.png'
this.icon = 'Anthropic.svg'
this.category = 'Chat Models'
this.description = 'Wrapper around ChatAnthropic large language models that use the Chat endpoint'
this.baseClasses = [this.type, ...getBaseClasses(ChatAnthropic)]

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packages/components/nodes/chatmodels/ChatGoogleGenerativeAI/ChatGoogleGenerativeAI.ts
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@ -20,7 +20,7 @@ class GoogleGenerativeAI_ChatModels implements INode {
this.name = 'chatGoogleGenerativeAI'
this.version = 1.0
this.type = 'ChatGoogleGenerativeAI'
this.icon = 'gemini.png'
this.icon = 'GoogleGemini.svg'
this.category = 'Chat Models'
this.description = 'Wrapper around Google Gemini large language models that use the Chat endpoint'
this.baseClasses = [this.type, ...getBaseClasses(ChatGoogleGenerativeAI)]

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packages/components/nodes/chatmodels/ChatGooglePaLM/ChatGooglePaLM.ts
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@ -20,7 +20,7 @@ class ChatGooglePaLM_ChatModels implements INode {
this.name = 'chatGooglePaLM'
this.version = 2.0
this.type = 'ChatGooglePaLM'
this.icon = 'Google_PaLM_Logo.svg'
this.icon = 'GooglePaLM.svg'
this.category = 'Chat Models'
this.description = 'Wrapper around Google MakerSuite PaLM large language models using the Chat endpoint'
this.baseClasses = [this.type, ...getBaseClasses(ChatGooglePaLM)]

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packages/components/nodes/chatmodels/ChatGoogleVertexAI/ChatGoogleVertexAI.ts
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@ -21,7 +21,7 @@ class GoogleVertexAI_ChatModels implements INode {
this.name = 'chatGoogleVertexAI'
this.version = 2.0
this.type = 'ChatGoogleVertexAI'
this.icon = 'vertexai.svg'
this.icon = 'GoogleVertex.svg'
this.category = 'Chat Models'
this.description = 'Wrapper around VertexAI large language models that use the Chat endpoint'
this.baseClasses = [this.type, ...getBaseClasses(ChatGoogleVertexAI)]

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packages/components/nodes/chatmodels/ChatHuggingFace/ChatHuggingFace.ts
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@ -20,7 +20,7 @@ class ChatHuggingFace_ChatModels implements INode {
this.name = 'chatHuggingFace'
this.version = 2.0
this.type = 'ChatHuggingFace'
this.icon = 'huggingface.png'
this.icon = 'HuggingFace.svg'
this.category = 'Chat Models'
this.description = 'Wrapper around HuggingFace large language models'
this.baseClasses = [this.type, 'BaseChatModel', ...getBaseClasses(HuggingFaceInference)]

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8
packages/components/nodes/chatmodels/ChatMistral/ChatMistral.ts
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@ -20,7 +20,7 @@ class ChatMistral_ChatModels implements INode {
this.name = 'chatMistralAI'
this.version = 1.0
this.type = 'ChatMistralAI'
this.icon = 'mistralai.png'
this.icon = 'MistralAI.svg'
this.category = 'Chat Models'
this.description = 'Wrapper around Mistral large language models that use the Chat endpoint'
this.baseClasses = [this.type, ...getBaseClasses(ChatMistralAI)]
@ -124,13 +124,13 @@ class ChatMistral_ChatModels implements INode {
const safeMode = nodeData.inputs?.safeMode as boolean
const randomSeed = nodeData.inputs?.safeMode as string
const overrideEndpoint = nodeData.inputs?.overrideEndpoint as string
// Waiting fix from langchain + mistral to enable streaming - https://github.com/mistralai/client-js/issues/18
const streaming = nodeData.inputs?.streaming as boolean
const cache = nodeData.inputs?.cache as BaseCache
const obj: ChatMistralAIInput = {
apiKey: apiKey,
modelName: modelName
modelName: modelName,
streaming: streaming ?? true
}
if (maxOutputTokens) obj.maxTokens = parseInt(maxOutputTokens, 10)

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7
packages/components/nodes/chatmodels/ChatOllama/ChatOllama.ts
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@ -1,8 +1,7 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { ChatOllama } from 'langchain/chat_models/ollama'
import { ChatOllama, ChatOllamaInput } from 'langchain/chat_models/ollama'
import { BaseCache } from 'langchain/schema'
import { OllamaInput } from 'langchain/dist/util/ollama'
import { BaseLLMParams } from 'langchain/llms/base'
class ChatOllama_ChatModels implements INode {
@ -22,7 +21,7 @@ class ChatOllama_ChatModels implements INode {
this.name = 'chatOllama'
this.version = 2.0
this.type = 'ChatOllama'
this.icon = 'ollama.png'
this.icon = 'Ollama.svg'
this.category = 'Chat Models'
this.description = 'Chat completion using open-source LLM on Ollama'
this.baseClasses = [this.type, ...getBaseClasses(ChatOllama)]
@ -209,7 +208,7 @@ class ChatOllama_ChatModels implements INode {
const cache = nodeData.inputs?.cache as BaseCache
const obj: OllamaInput & BaseLLMParams = {
const obj: ChatOllamaInput & BaseLLMParams = {
baseUrl,
temperature: parseFloat(temperature),
model: modelName

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packages/components/nodes/chatmodels/ChatOllama/Ollama.svg Normal file
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23
packages/components/nodes/documentloaders/Airtable/Airtable.ts
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@ -20,7 +20,7 @@ class Airtable_DocumentLoaders implements INode {
constructor() {
this.label = 'Airtable'
this.name = 'airtable'
this.version = 1.0
this.version = 2.0
this.type = 'Document'
this.icon = 'airtable.svg'
this.category = 'Document Loaders'
@ -55,6 +55,15 @@ class Airtable_DocumentLoaders implements INode {
description:
'If your table URL looks like: https://airtable.com/app11RobdGoX0YNsC/tblJdmvbrgizbYICO/viw9UrP77Id0CE4ee, tblJdmvbrgizbYICO is the table id'
},
{
label: 'View Id',
name: 'viewId',
type: 'string',
placeholder: 'viw9UrP77Id0CE4ee',
description:
'If your view URL looks like: https://airtable.com/app11RobdGoX0YNsC/tblJdmvbrgizbYICO/viw9UrP77Id0CE4ee, viw9UrP77Id0CE4ee is the view id',
optional: true
},
{
label: 'Return All',
name: 'returnAll',
@ -83,6 +92,7 @@ class Airtable_DocumentLoaders implements INode {
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const baseId = nodeData.inputs?.baseId as string
const tableId = nodeData.inputs?.tableId as string
const viewId = nodeData.inputs?.viewId as string
const returnAll = nodeData.inputs?.returnAll as boolean
const limit = nodeData.inputs?.limit as string
const textSplitter = nodeData.inputs?.textSplitter as TextSplitter
@ -94,6 +104,7 @@ class Airtable_DocumentLoaders implements INode {
const airtableOptions: AirtableLoaderParams = {
baseId,
tableId,
viewId,
returnAll,
accessToken,
limit: limit ? parseInt(limit, 10) : 100
@ -133,6 +144,7 @@ interface AirtableLoaderParams {
baseId: string
tableId: string
accessToken: string
viewId?: string
limit?: number
returnAll?: boolean
}
@ -153,16 +165,19 @@ class AirtableLoader extends BaseDocumentLoader {
public readonly tableId: string
public readonly viewId?: string
public readonly accessToken: string
public readonly limit: number
public readonly returnAll: boolean
constructor({ baseId, tableId, accessToken, limit = 100, returnAll = false }: AirtableLoaderParams) {
constructor({ baseId, tableId, viewId, accessToken, limit = 100, returnAll = false }: AirtableLoaderParams) {
super()
this.baseId = baseId
this.tableId = tableId
this.viewId = viewId
this.accessToken = accessToken
this.limit = limit
this.returnAll = returnAll
@ -203,7 +218,7 @@ class AirtableLoader extends BaseDocumentLoader {
}
private async loadLimit(): Promise<Document[]> {
const params = { maxRecords: this.limit }
const params = { maxRecords: this.limit, view: this.viewId }
const data = await this.fetchAirtableData(`https://api.airtable.com/v0/${this.baseId}/${this.tableId}`, params)
if (data.records.length === 0) {
return []
@ -212,7 +227,7 @@ class AirtableLoader extends BaseDocumentLoader {
}
private async loadAll(): Promise<Document[]> {
const params: ICommonObject = { pageSize: 100 }
const params: ICommonObject = { pageSize: 100, view: this.viewId }
let data: AirtableLoaderResponse
let returnPages: AirtableLoaderPage[] = []

4
packages/components/nodes/documentloaders/Notion/NotionDB.ts
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@ -66,6 +66,10 @@ class NotionDB_DocumentLoaders implements INode {
auth: notionIntegrationToken
},
id: databaseId,
callerOptions: {
maxConcurrency: 64 // Default value
},
propertiesAsHeader: true, // Prepends a front matter header of the page properties to the page contents
type: 'database'
}
const loader = new NotionAPILoader(obj)

77
packages/components/nodes/documentloaders/S3File/S3File.ts
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@ -30,7 +30,7 @@ class S3_DocumentLoaders implements INode {
constructor() {
this.label = 'S3'
this.name = 'S3'
this.version = 1.0
this.version = 2.0
this.type = 'Document'
this.icon = 's3.svg'
this.category = 'Document Loaders'
@ -113,12 +113,62 @@ class S3_DocumentLoaders implements INode {
optional: true
},
{
label: 'NarrativeText Only',
name: 'narrativeTextOnly',
label: 'Element Type',
name: 'elementType',
description:
'Only load documents with NarrativeText metadata from Unstructured. See how Unstructured partition data <a target="_blank" href="https://unstructured-io.github.io/unstructured/bricks/partition.html#">here</a>',
default: true,
type: 'boolean',
'Unstructured partition document into different types, select the types to return. If not selected, all types will be returned',
type: 'multiOptions',
options: [
{
label: 'FigureCaption',
name: 'FigureCaption'
},
{
label: 'NarrativeText',
name: 'NarrativeText'
},
{
label: 'ListItem',
name: 'ListItem'
},
{
label: 'Title',
name: 'Title'
},
{
label: 'Address',
name: 'Address'
},
{
label: 'Table',
name: 'Table'
},
{
label: 'PageBreak',
name: 'PageBreak'
},
{
label: 'Header',
name: 'Header'
},
{
label: 'Footer',
name: 'Footer'
},
{
label: 'UncategorizedText',
name: 'UncategorizedText'
},
{
label: 'Image',
name: 'Image'
},
{
label: 'Formula',
name: 'Formula'
}
],
default: [],
optional: true,
additionalParams: true
},
@ -138,7 +188,7 @@ class S3_DocumentLoaders implements INode {
const unstructuredAPIUrl = nodeData.inputs?.unstructuredAPIUrl as string
const unstructuredAPIKey = nodeData.inputs?.unstructuredAPIKey as string
const metadata = nodeData.inputs?.metadata
const narrativeTextOnly = nodeData.inputs?.narrativeTextOnly as boolean
const elementType = nodeData.inputs?.elementType as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const accessKeyId = getCredentialParam('awsKey', credentialData, nodeData)
@ -169,6 +219,15 @@ class S3_DocumentLoaders implements INode {
}
}
let elementTypes: string[] = []
if (elementType) {
try {
elementTypes = JSON.parse(elementType)
} catch (e) {
elementTypes = []
}
}
loader.load = async () => {
const tempDir = fsDefault.mkdtempSync(path.join(os.tmpdir(), 's3fileloader-'))
@ -235,10 +294,10 @@ class S3_DocumentLoaders implements INode {
}
}
})
return narrativeTextOnly ? finaldocs.filter((doc) => doc.metadata.category === 'NarrativeText') : finaldocs
return elementTypes.length ? finaldocs.filter((doc) => elementTypes.includes(doc.metadata.category)) : finaldocs
}
return narrativeTextOnly ? docs.filter((doc) => doc.metadata.category === 'NarrativeText') : docs
return elementTypes.length ? docs.filter((doc) => elementTypes.includes(doc.metadata.category)) : docs
}
}
module.exports = { nodeClass: S3_DocumentLoaders }

6
packages/components/nodes/embeddings/AWSBedrockEmbedding/aws.svg
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packages/components/nodes/embeddings/CohereEmbedding/CohereEmbedding.ts
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@ -19,7 +19,7 @@ class CohereEmbedding_Embeddings implements INode {
this.name = 'cohereEmbeddings'
this.version = 1.0
this.type = 'CohereEmbeddings'
this.icon = 'cohere.png'
this.icon = 'Cohere.svg'
this.category = 'Embeddings'
this.description = 'Cohere API to generate embeddings for a given text'
this.baseClasses = [this.type, ...getBaseClasses(CohereEmbeddings)]

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packages/components/nodes/embeddings/GoogleGenerativeAIEmbedding/GoogleGenerativeAIEmbedding.ts
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this.name = 'googleGenerativeAiEmbeddings'
this.version = 1.0
this.type = 'GoogleGenerativeAiEmbeddings'
this.icon = 'gemini.png'
this.icon = 'GoogleGemini.svg'
this.category = 'Embeddings'
this.description = 'Google Generative API to generate embeddings for a given text'
this.baseClasses = [this.type, ...getBaseClasses(GoogleGenerativeAIEmbeddings)]

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packages/components/nodes/embeddings/GooglePaLMEmbedding/GooglePaLMEmbedding.ts
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@ -19,7 +19,7 @@ class GooglePaLMEmbedding_Embeddings implements INode {
this.name = 'googlePaLMEmbeddings'
this.version = 1.0
this.type = 'GooglePaLMEmbeddings'
this.icon = 'Google_PaLM_Logo.svg'
this.icon = 'GooglePaLM.svg'
this.category = 'Embeddings'
this.description = 'Google MakerSuite PaLM API to generate embeddings for a given text'
this.baseClasses = [this.type, ...getBaseClasses(GooglePaLMEmbeddings)]

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packages/components/nodes/embeddings/GooglePaLMEmbedding/Google_PaLM_Logo.svg
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<g id="keylines" display="none">
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</g>
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packages/components/nodes/embeddings/GoogleVertexAIEmbedding/GoogleVertex.svg Normal file
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packages/components/nodes/embeddings/GoogleVertexAIEmbedding/GoogleVertexAIEmbedding.ts
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@ -20,7 +20,7 @@ class GoogleVertexAIEmbedding_Embeddings implements INode {
this.name = 'googlevertexaiEmbeddings'
this.version = 1.0
this.type = 'GoogleVertexAIEmbeddings'
this.icon = 'vertexai.svg'
this.icon = 'GoogleVertex.svg'
this.category = 'Embeddings'
this.description = 'Google vertexAI API to generate embeddings for a given text'
this.baseClasses = [this.type, ...getBaseClasses(GoogleVertexAIEmbeddings)]

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packages/components/nodes/embeddings/GoogleVertexAIEmbedding/vertexai.svg
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@ -1,2 +0,0 @@
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packages/components/nodes/embeddings/HuggingFaceInferenceEmbedding/HuggingFace.svg Normal file
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packages/components/nodes/embeddings/HuggingFaceInferenceEmbedding/HuggingFaceInferenceEmbedding.ts
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@ -19,7 +19,7 @@ class HuggingFaceInferenceEmbedding_Embeddings implements INode {
this.name = 'huggingFaceInferenceEmbeddings'
this.version = 1.0
this.type = 'HuggingFaceInferenceEmbeddings'
this.icon = 'huggingface.png'
this.icon = 'HuggingFace.svg'
this.category = 'Embeddings'
this.description = 'HuggingFace Inference API to generate embeddings for a given text'
this.baseClasses = [this.type, ...getBaseClasses(HuggingFaceInferenceEmbeddings)]

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packages/components/nodes/embeddings/HuggingFaceInferenceEmbedding/huggingface.png
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packages/components/nodes/embeddings/MistralEmbedding/MistralAI.svg Normal file
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packages/components/nodes/embeddings/MistralEmbedding/MistralEmbedding.ts
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@ -19,7 +19,7 @@ class MistralEmbedding_Embeddings implements INode {
this.name = 'mistralAI Embeddings'
this.version = 1.0
this.type = 'MistralAIEmbeddings'
this.icon = 'mistralai.png'
this.icon = 'MistralAI.svg'
this.category = 'Embeddings'
this.description = 'MistralAI API to generate embeddings for a given text'
this.baseClasses = [this.type, ...getBaseClasses(MistralAIEmbeddings)]

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packages/components/nodes/embeddings/OllamaEmbedding/Ollama.svg Normal file
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packages/components/nodes/embeddings/OllamaEmbedding/OllamaEmbedding.ts
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@ -1,7 +1,7 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { OllamaInput } from 'langchain/llms/ollama'
import { OllamaEmbeddings } from 'langchain/embeddings/ollama'
import { OllamaInput } from 'langchain/dist/util/ollama'
class OllamaEmbedding_Embeddings implements INode {
label: string
@ -20,7 +20,7 @@ class OllamaEmbedding_Embeddings implements INode {
this.name = 'ollamaEmbedding'
this.version = 1.0
this.type = 'OllamaEmbeddings'
this.icon = 'ollama.png'
this.icon = 'Ollama.svg'
this.category = 'Embeddings'
this.description = 'Generate embeddings for a given text using open source model on Ollama'
this.baseClasses = [this.type, ...getBaseClasses(OllamaEmbeddings)]

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packages/components/nodes/llms/Bittensor/Bittensor.ts
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@ -20,7 +20,7 @@ class Bittensor_LLMs implements INode {
this.name = 'NIBittensorLLM'
this.version = 2.0
this.type = 'Bittensor'
this.icon = 'logo.png'
this.icon = 'NIBittensor.svg'
this.category = 'LLMs'
this.description = 'Wrapper around Bittensor subnet 1 large language models'
this.baseClasses = [this.type, ...getBaseClasses(NIBittensorLLM)]

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packages/components/nodes/llms/Cohere/Cohere.ts
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@ -20,7 +20,7 @@ class Cohere_LLMs implements INode {
this.name = 'cohere'
this.version = 2.0
this.type = 'Cohere'
this.icon = 'cohere.png'
this.icon = 'Cohere.svg'
this.category = 'LLMs'
this.description = 'Wrapper around Cohere large language models'
this.baseClasses = [this.type, ...getBaseClasses(Cohere)]

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packages/components/nodes/llms/GooglePaLM/GooglePaLM.ts
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@ -19,7 +19,7 @@ class GooglePaLM_LLMs implements INode {
this.name = 'GooglePaLM'
this.version = 2.0
this.type = 'GooglePaLM'
this.icon = 'Google_PaLM_Logo.svg'
this.icon = 'GooglePaLM.svg'
this.category = 'LLMs'
this.description = 'Wrapper around Google MakerSuite PaLM large language models'
this.baseClasses = [this.type, ...getBaseClasses(GooglePaLM)]

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2
packages/components/nodes/llms/GoogleVertexAI/GoogleVertexAI.ts
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@ -21,7 +21,7 @@ class GoogleVertexAI_LLMs implements INode {
this.name = 'googlevertexai'
this.version = 2.0
this.type = 'GoogleVertexAI'
this.icon = 'vertexai.svg'
this.icon = 'GoogleVertex.svg'
this.category = 'LLMs'
this.description = 'Wrapper around GoogleVertexAI large language models'
this.baseClasses = [this.type, ...getBaseClasses(GoogleVertexAI)]

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packages/components/nodes/llms/GoogleVertexAI/vertexai.svg
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@ -1,2 +0,0 @@
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2
packages/components/nodes/llms/HuggingFaceInference/HuggingFaceInference.ts
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@ -20,7 +20,7 @@ class HuggingFaceInference_LLMs implements INode {
this.name = 'huggingFaceInference_LLMs'
this.version = 2.0
this.type = 'HuggingFaceInference'
this.icon = 'huggingface.png'
this.icon = 'HuggingFace.svg'
this.category = 'LLMs'
this.description = 'Wrapper around HuggingFace large language models'
this.baseClasses = [this.type, ...getBaseClasses(HuggingFaceInference)]

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packages/components/nodes/llms/Ollama/Ollama.svg Normal file
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5
packages/components/nodes/llms/Ollama/Ollama.ts
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@ -1,8 +1,7 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { Ollama } from 'langchain/llms/ollama'
import { Ollama, OllamaInput } from 'langchain/llms/ollama'
import { BaseCache } from 'langchain/schema'
import { OllamaInput } from 'langchain/dist/util/ollama'
import { BaseLLMParams } from 'langchain/llms/base'
class Ollama_LLMs implements INode {
@ -22,7 +21,7 @@ class Ollama_LLMs implements INode {
this.name = 'ollama'
this.version = 2.0
this.type = 'Ollama'
this.icon = 'ollama.png'
this.icon = 'Ollama.svg'
this.category = 'LLMs'
this.description = 'Wrapper around open source large language models on Ollama'
this.baseClasses = [this.type, ...getBaseClasses(Ollama)]

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46
packages/components/nodes/memory/BufferMemory/BufferMemory.ts
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@ -1,6 +1,7 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { BufferMemory } from 'langchain/memory'
import { FlowiseMemory, IMessage, INode, INodeData, INodeParams, MemoryMethods, MessageType } from '../../../src/Interface'
import { convertBaseMessagetoIMessage, getBaseClasses } from '../../../src/utils'
import { BufferMemory, BufferMemoryInput } from 'langchain/memory'
import { BaseMessage } from 'langchain/schema'
class BufferMemory_Memory implements INode {
label: string
@ -41,7 +42,7 @@ class BufferMemory_Memory implements INode {
async init(nodeData: INodeData): Promise<any> {
const memoryKey = nodeData.inputs?.memoryKey as string
const inputKey = nodeData.inputs?.inputKey as string
return new BufferMemory({
return new BufferMemoryExtended({
returnMessages: true,
memoryKey,
inputKey
@ -49,4 +50,41 @@ class BufferMemory_Memory implements INode {
}
}
class BufferMemoryExtended extends FlowiseMemory implements MemoryMethods {
constructor(fields: BufferMemoryInput) {
super(fields)
}
async getChatMessages(_?: string, returnBaseMessages = false): Promise<IMessage[] | BaseMessage[]> {
const memoryResult = await this.loadMemoryVariables({})
const baseMessages = memoryResult[this.memoryKey ?? 'chat_history']
return returnBaseMessages ? baseMessages : convertBaseMessagetoIMessage(baseMessages)
}
async addChatMessages(msgArray: { text: string; type: MessageType }[]): Promise<void> {
const input = msgArray.find((msg) => msg.type === 'userMessage')
const output = msgArray.find((msg) => msg.type === 'apiMessage')
const inputValues = { [this.inputKey ?? 'input']: input?.text }
const outputValues = { output: output?.text }
await this.saveContext(inputValues, outputValues)
}
async clearChatMessages(): Promise<void> {
await this.clear()
}
async resumeMessages(messages: IMessage[]): Promise<void> {
// Clear existing chatHistory to avoid duplication
if (messages.length) await this.clear()
// Insert into chatHistory
for (const msg of messages) {
if (msg.type === 'userMessage') await this.chatHistory.addUserMessage(msg.message)
else if (msg.type === 'apiMessage') await this.chatHistory.addAIChatMessage(msg.message)
}
}
}
module.exports = { nodeClass: BufferMemory_Memory }

44
packages/components/nodes/memory/BufferWindowMemory/BufferWindowMemory.ts
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@ -1,6 +1,7 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { FlowiseWindowMemory, IMessage, INode, INodeData, INodeParams, MemoryMethods, MessageType } from '../../../src/Interface'
import { convertBaseMessagetoIMessage, getBaseClasses } from '../../../src/utils'
import { BufferWindowMemory, BufferWindowMemoryInput } from 'langchain/memory'
import { BaseMessage } from 'langchain/schema'
class BufferWindowMemory_Memory implements INode {
label: string
@ -57,7 +58,44 @@ class BufferWindowMemory_Memory implements INode {
k: parseInt(k, 10)
}
return new BufferWindowMemory(obj)
return new BufferWindowMemoryExtended(obj)
}
}
class BufferWindowMemoryExtended extends FlowiseWindowMemory implements MemoryMethods {
constructor(fields: BufferWindowMemoryInput) {
super(fields)
}
async getChatMessages(_?: string, returnBaseMessages = false): Promise<IMessage[] | BaseMessage[]> {
const memoryResult = await this.loadMemoryVariables({})
const baseMessages = memoryResult[this.memoryKey ?? 'chat_history']
return returnBaseMessages ? baseMessages : convertBaseMessagetoIMessage(baseMessages)
}
async addChatMessages(msgArray: { text: string; type: MessageType }[]): Promise<void> {
const input = msgArray.find((msg) => msg.type === 'userMessage')
const output = msgArray.find((msg) => msg.type === 'apiMessage')
const inputValues = { [this.inputKey ?? 'input']: input?.text }
const outputValues = { output: output?.text }
await this.saveContext(inputValues, outputValues)
}
async clearChatMessages(): Promise<void> {
await this.clear()
}
async resumeMessages(messages: IMessage[]): Promise<void> {
// Clear existing chatHistory to avoid duplication
if (messages.length) await this.clear()
// Insert into chatHistory
for (const msg of messages) {
if (msg.type === 'userMessage') await this.chatHistory.addUserMessage(msg.message)
else if (msg.type === 'apiMessage') await this.chatHistory.addAIChatMessage(msg.message)
}
}
}

48
packages/components/nodes/memory/ConversationSummaryMemory/ConversationSummaryMemory.ts
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@ -1,7 +1,8 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { FlowiseSummaryMemory, IMessage, INode, INodeData, INodeParams, MemoryMethods, MessageType } from '../../../src/Interface'
import { convertBaseMessagetoIMessage, getBaseClasses } from '../../../src/utils'
import { ConversationSummaryMemory, ConversationSummaryMemoryInput } from 'langchain/memory'
import { BaseLanguageModel } from 'langchain/base_language'
import { BaseMessage } from 'langchain/schema'
class ConversationSummaryMemory_Memory implements INode {
label: string
@ -56,7 +57,48 @@ class ConversationSummaryMemory_Memory implements INode {
inputKey
}
return new ConversationSummaryMemory(obj)
return new ConversationSummaryMemoryExtended(obj)
}
}
class ConversationSummaryMemoryExtended extends FlowiseSummaryMemory implements MemoryMethods {
constructor(fields: ConversationSummaryMemoryInput) {
super(fields)
}
async getChatMessages(_?: string, returnBaseMessages = false): Promise<IMessage[] | BaseMessage[]> {
const memoryResult = await this.loadMemoryVariables({})
const baseMessages = memoryResult[this.memoryKey ?? 'chat_history']
return returnBaseMessages ? baseMessages : convertBaseMessagetoIMessage(baseMessages)
}
async addChatMessages(msgArray: { text: string; type: MessageType }[]): Promise<void> {
const input = msgArray.find((msg) => msg.type === 'userMessage')
const output = msgArray.find((msg) => msg.type === 'apiMessage')
const inputValues = { [this.inputKey ?? 'input']: input?.text }
const outputValues = { output: output?.text }
await this.saveContext(inputValues, outputValues)
}
async clearChatMessages(): Promise<void> {
await this.clear()
}
async resumeMessages(messages: IMessage[]): Promise<void> {
// Clear existing chatHistory to avoid duplication
if (messages.length) await this.clear()
// Insert into chatHistory
for (const msg of messages) {
if (msg.type === 'userMessage') await this.chatHistory.addUserMessage(msg.message)
else if (msg.type === 'apiMessage') await this.chatHistory.addAIChatMessage(msg.message)
}
// Replace buffer
const chatMessages = await this.chatHistory.getMessages()
this.buffer = await this.predictNewSummary(chatMessages.slice(-2), this.buffer)
}
}

208
packages/components/nodes/memory/DynamoDb/DynamoDb.ts
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@ -1,15 +1,25 @@
import {
ICommonObject,
INode,
INodeData,
INodeParams,
DynamoDBClient,
DynamoDBClientConfig,
GetItemCommand,
GetItemCommandInput,
UpdateItemCommand,
UpdateItemCommandInput,
DeleteItemCommand,
DeleteItemCommandInput,
AttributeValue
} from '@aws-sdk/client-dynamodb'
import { DynamoDBChatMessageHistory } from 'langchain/stores/message/dynamodb'
import { BufferMemory, BufferMemoryInput } from 'langchain/memory'
import { mapStoredMessageToChatMessage, AIMessage, HumanMessage, StoredMessage, BaseMessage } from 'langchain/schema'
import {
convertBaseMessagetoIMessage,
getBaseClasses,
getCredentialData,
getCredentialParam,
serializeChatHistory
} from '../../../src'
import { DynamoDBChatMessageHistory } from 'langchain/stores/message/dynamodb'
import { BufferMemory, BufferMemoryInput } from 'langchain/memory'
} from '../../../src/utils'
import { FlowiseMemory, ICommonObject, IMessage, INode, INodeData, INodeParams, MemoryMethods, MessageType } from '../../../src/Interface'
class DynamoDb_Memory implements INode {
label: string
@ -102,49 +112,203 @@ class DynamoDb_Memory implements INode {
const initalizeDynamoDB = async (nodeData: INodeData, options: ICommonObject): Promise<BufferMemory> => {
const tableName = nodeData.inputs?.tableName as string
const partitionKey = nodeData.inputs?.partitionKey as string
const sessionId = nodeData.inputs?.sessionId as string
const region = nodeData.inputs?.region as string
const memoryKey = nodeData.inputs?.memoryKey as string
const chatId = options.chatId
let isSessionIdUsingChatMessageId = false
if (!sessionId && chatId) isSessionIdUsingChatMessageId = true
let sessionId = ''
if (!nodeData.inputs?.sessionId && chatId) {
isSessionIdUsingChatMessageId = true
sessionId = chatId
} else {
sessionId = nodeData.inputs?.sessionId
}
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const accessKeyId = getCredentialParam('accessKey', credentialData, nodeData)
const secretAccessKey = getCredentialParam('secretAccessKey', credentialData, nodeData)
const config: DynamoDBClientConfig = {
region,
credentials: {
accessKeyId,
secretAccessKey
}
}
const client = new DynamoDBClient(config ?? {})
const dynamoDb = new DynamoDBChatMessageHistory({
tableName,
partitionKey,
sessionId: sessionId ? sessionId : chatId,
config: {
region,
credentials: {
accessKeyId,
secretAccessKey
}
}
sessionId,
config
})
const memory = new BufferMemoryExtended({
memoryKey: memoryKey ?? 'chat_history',
chatHistory: dynamoDb,
isSessionIdUsingChatMessageId
isSessionIdUsingChatMessageId,
sessionId,
dynamodbClient: client
})
return memory
}
interface BufferMemoryExtendedInput {
isSessionIdUsingChatMessageId: boolean
dynamodbClient: DynamoDBClient
sessionId: string
}
class BufferMemoryExtended extends BufferMemory {
isSessionIdUsingChatMessageId? = false
interface DynamoDBSerializedChatMessage {
M: {
type: {
S: string
}
text: {
S: string
}
role?: {
S: string
}
}
}
constructor(fields: BufferMemoryInput & Partial<BufferMemoryExtendedInput>) {
class BufferMemoryExtended extends FlowiseMemory implements MemoryMethods {
isSessionIdUsingChatMessageId = false
sessionId = ''
dynamodbClient: DynamoDBClient
constructor(fields: BufferMemoryInput & BufferMemoryExtendedInput) {
super(fields)
this.isSessionIdUsingChatMessageId = fields.isSessionIdUsingChatMessageId
this.sessionId = fields.sessionId
this.dynamodbClient = fields.dynamodbClient
}
overrideDynamoKey(overrideSessionId = '') {
const existingDynamoKey = (this as any).dynamoKey
const partitionKey = (this as any).partitionKey
let newDynamoKey: Record<string, AttributeValue> = {}
if (Object.keys(existingDynamoKey).includes(partitionKey)) {
newDynamoKey[partitionKey] = { S: overrideSessionId }
}
return Object.keys(newDynamoKey).length ? newDynamoKey : existingDynamoKey
}
async addNewMessage(
messages: StoredMessage[],
client: DynamoDBClient,
tableName = '',
dynamoKey: Record<string, AttributeValue> = {},
messageAttributeName = 'messages'
) {
const params: UpdateItemCommandInput = {
TableName: tableName,
Key: dynamoKey,
ExpressionAttributeNames: {
'#m': messageAttributeName
},
ExpressionAttributeValues: {
':empty_list': {
L: []
},
':m': {
L: messages.map((message) => {
const dynamoSerializedMessage: DynamoDBSerializedChatMessage = {
M: {
type: {
S: message.type
},
text: {
S: message.data.content
}
}
}
if (message.data.role) {
dynamoSerializedMessage.M.role = { S: message.data.role }
}
return dynamoSerializedMessage
})
}
},
UpdateExpression: 'SET #m = list_append(if_not_exists(#m, :empty_list), :m)'
}
await client.send(new UpdateItemCommand(params))
}
async getChatMessages(overrideSessionId = '', returnBaseMessages = false): Promise<IMessage[] | BaseMessage[]> {
if (!this.dynamodbClient) return []
const dynamoKey = overrideSessionId ? this.overrideDynamoKey(overrideSessionId) : (this as any).dynamoKey
const tableName = (this as any).tableName
const messageAttributeName = (this as any).messageAttributeName
const params: GetItemCommandInput = {
TableName: tableName,
Key: dynamoKey
}
const response = await this.dynamodbClient.send(new GetItemCommand(params))
const items = response.Item ? response.Item[messageAttributeName]?.L ?? [] : []
const messages = items
.map((item) => ({
type: item.M?.type.S,
data: {
role: item.M?.role?.S,
content: item.M?.text.S
}
}))
.filter((x): x is StoredMessage => x.type !== undefined && x.data.content !== undefined)
const baseMessages = messages.map(mapStoredMessageToChatMessage)
return returnBaseMessages ? baseMessages : convertBaseMessagetoIMessage(baseMessages)
}
async addChatMessages(msgArray: { text: string; type: MessageType }[], overrideSessionId = ''): Promise<void> {
if (!this.dynamodbClient) return
const dynamoKey = overrideSessionId ? this.overrideDynamoKey(overrideSessionId) : (this as any).dynamoKey
const tableName = (this as any).tableName
const messageAttributeName = (this as any).messageAttributeName
const input = msgArray.find((msg) => msg.type === 'userMessage')
const output = msgArray.find((msg) => msg.type === 'apiMessage')
if (input) {
const newInputMessage = new HumanMessage(input.text)
const messageToAdd = [newInputMessage].map((msg) => msg.toDict())
await this.addNewMessage(messageToAdd, this.dynamodbClient, tableName, dynamoKey, messageAttributeName)
}
if (output) {
const newOutputMessage = new AIMessage(output.text)
const messageToAdd = [newOutputMessage].map((msg) => msg.toDict())
await this.addNewMessage(messageToAdd, this.dynamodbClient, tableName, dynamoKey, messageAttributeName)
}
}
async clearChatMessages(overrideSessionId = ''): Promise<void> {
if (!this.dynamodbClient) return
const dynamoKey = overrideSessionId ? this.overrideDynamoKey(overrideSessionId) : (this as any).dynamoKey
const tableName = (this as any).tableName
const params: DeleteItemCommandInput = {
TableName: tableName,
Key: dynamoKey
}
await this.dynamodbClient.send(new DeleteItemCommand(params))
await this.clear()
}
async resumeMessages(): Promise<void> {
return
}
}

100
packages/components/nodes/memory/MongoDBMemory/MongoDBMemory.ts
View File

@ -1,17 +1,15 @@
import { MongoClient, Collection, Document } from 'mongodb'
import { MongoDBChatMessageHistory } from 'langchain/stores/message/mongodb'
import { BufferMemory, BufferMemoryInput } from 'langchain/memory'
import { mapStoredMessageToChatMessage, AIMessage, HumanMessage, BaseMessage } from 'langchain/schema'
import {
convertBaseMessagetoIMessage,
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'
import { MongoClient } from 'mongodb'
} from '../../../src/utils'
import { FlowiseMemory, ICommonObject, IMessage, INode, INodeData, INodeParams, MemoryMethods, MessageType } from '../../../src/Interface'
class MongoDB_Memory implements INode {
label: string
@ -99,23 +97,30 @@ class MongoDB_Memory implements INode {
const initializeMongoDB = async (nodeData: INodeData, options: ICommonObject): Promise<BufferMemory> => {
const databaseName = nodeData.inputs?.databaseName as string
const collectionName = nodeData.inputs?.collectionName as string
const sessionId = nodeData.inputs?.sessionId as string
const memoryKey = nodeData.inputs?.memoryKey as string
const chatId = options?.chatId as string
let isSessionIdUsingChatMessageId = false
if (!sessionId && chatId) isSessionIdUsingChatMessageId = true
let sessionId = ''
if (!nodeData.inputs?.sessionId && chatId) {
isSessionIdUsingChatMessageId = true
sessionId = chatId
} else {
sessionId = nodeData.inputs?.sessionId
}
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
let mongoDBConnectUrl = getCredentialParam('mongoDBConnectUrl', credentialData, nodeData)
const mongoDBConnectUrl = getCredentialParam('mongoDBConnectUrl', credentialData, nodeData)
const client = new MongoClient(mongoDBConnectUrl)
await client.connect()
const collection = client.db(databaseName).collection(collectionName)
const mongoDBChatMessageHistory = new MongoDBChatMessageHistory({
collection,
sessionId: sessionId ? sessionId : chatId
sessionId
})
mongoDBChatMessageHistory.getMessages = async (): Promise<BaseMessage[]> => {
@ -144,20 +149,81 @@ const initializeMongoDB = async (nodeData: INodeData, options: ICommonObject): P
return new BufferMemoryExtended({
memoryKey: memoryKey ?? 'chat_history',
chatHistory: mongoDBChatMessageHistory,
isSessionIdUsingChatMessageId
isSessionIdUsingChatMessageId,
sessionId,
collection
})
}
interface BufferMemoryExtendedInput {
isSessionIdUsingChatMessageId: boolean
collection: Collection<Document>
sessionId: string
}
class BufferMemoryExtended extends BufferMemory {
class BufferMemoryExtended extends FlowiseMemory implements MemoryMethods {
sessionId = ''
collection: Collection<Document>
isSessionIdUsingChatMessageId? = false
constructor(fields: BufferMemoryInput & Partial<BufferMemoryExtendedInput>) {
constructor(fields: BufferMemoryInput & BufferMemoryExtendedInput) {
super(fields)
this.isSessionIdUsingChatMessageId = fields.isSessionIdUsingChatMessageId
this.sessionId = fields.sessionId
this.collection = fields.collection
}
async getChatMessages(overrideSessionId = '', returnBaseMessages = false): Promise<IMessage[] | BaseMessage[]> {
if (!this.collection) return []
const id = overrideSessionId ?? this.sessionId
const document = await this.collection.findOne({ sessionId: id })
const messages = document?.messages || []
const baseMessages = messages.map(mapStoredMessageToChatMessage)
return returnBaseMessages ? baseMessages : convertBaseMessagetoIMessage(baseMessages)
}
async addChatMessages(msgArray: { text: string; type: MessageType }[], overrideSessionId = ''): Promise<void> {
if (!this.collection) return
const id = overrideSessionId ?? this.sessionId
const input = msgArray.find((msg) => msg.type === 'userMessage')
const output = msgArray.find((msg) => msg.type === 'apiMessage')
if (input) {
const newInputMessage = new HumanMessage(input.text)
const messageToAdd = [newInputMessage].map((msg) => msg.toDict())
await this.collection.updateOne(
{ sessionId: id },
{
$push: { messages: { $each: messageToAdd } }
},
{ upsert: true }
)
}
if (output) {
const newOutputMessage = new AIMessage(output.text)
const messageToAdd = [newOutputMessage].map((msg) => msg.toDict())
await this.collection.updateOne(
{ sessionId: id },
{
$push: { messages: { $each: messageToAdd } }
},
{ upsert: true }
)
}
}
async clearChatMessages(overrideSessionId = ''): Promise<void> {
if (!this.collection) return
const id = overrideSessionId ?? this.sessionId
await this.collection.deleteOne({ sessionId: id })
await this.clear()
}
async resumeMessages(): Promise<void> {
return
}
}

70
packages/components/nodes/memory/MotorheadMemory/MotorheadMemory.ts
View File

@ -1,9 +1,9 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { IMessage, INode, INodeData, INodeParams, MemoryMethods, MessageType } from '../../../src/Interface'
import { convertBaseMessagetoIMessage, getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { ICommonObject } from '../../../src'
import { MotorheadMemory, MotorheadMemoryInput } from 'langchain/memory'
import { MotorheadMemory, MotorheadMemoryInput, InputValues, MemoryVariables, OutputValues, getBufferString } from 'langchain/memory'
import fetch from 'node-fetch'
import { getBufferString } from 'langchain/memory'
import { BaseMessage } from 'langchain/schema'
class MotorMemory_Memory implements INode {
label: string
@ -88,19 +88,26 @@ class MotorMemory_Memory implements INode {
const initalizeMotorhead = async (nodeData: INodeData, options: ICommonObject): Promise<MotorheadMemory> => {
const memoryKey = nodeData.inputs?.memoryKey as string
const baseURL = nodeData.inputs?.baseURL as string
const sessionId = nodeData.inputs?.sessionId as string
const chatId = options?.chatId as string
let isSessionIdUsingChatMessageId = false
if (!sessionId && chatId) isSessionIdUsingChatMessageId = true
let sessionId = ''
if (!nodeData.inputs?.sessionId && chatId) {
isSessionIdUsingChatMessageId = true
sessionId = chatId
} else {
sessionId = nodeData.inputs?.sessionId
}
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const apiKey = getCredentialParam('apiKey', credentialData, nodeData)
const clientId = getCredentialParam('clientId', credentialData, nodeData)
let obj: MotorheadMemoryInput & Partial<MotorheadMemoryExtendedInput> = {
let obj: MotorheadMemoryInput & MotorheadMemoryExtendedInput = {
returnMessages: true,
sessionId: sessionId ? sessionId : chatId,
isSessionIdUsingChatMessageId,
sessionId,
memoryKey
}
@ -117,8 +124,6 @@ const initalizeMotorhead = async (nodeData: INodeData, options: ICommonObject):
}
}
if (isSessionIdUsingChatMessageId) obj.isSessionIdUsingChatMessageId = true
const motorheadMemory = new MotorheadMemoryExtended(obj)
// Get messages from sessionId
@ -131,15 +136,32 @@ interface MotorheadMemoryExtendedInput {
isSessionIdUsingChatMessageId: boolean
}
class MotorheadMemoryExtended extends MotorheadMemory {
class MotorheadMemoryExtended extends MotorheadMemory implements MemoryMethods {
isSessionIdUsingChatMessageId? = false
constructor(fields: MotorheadMemoryInput & Partial<MotorheadMemoryExtendedInput>) {
constructor(fields: MotorheadMemoryInput & MotorheadMemoryExtendedInput) {
super(fields)
this.isSessionIdUsingChatMessageId = fields.isSessionIdUsingChatMessageId
}
async clear(): Promise<void> {
async loadMemoryVariables(values: InputValues, overrideSessionId = ''): Promise<MemoryVariables> {
if (overrideSessionId) {
this.sessionId = overrideSessionId
}
return super.loadMemoryVariables({ values })
}
async saveContext(inputValues: InputValues, outputValues: OutputValues, overrideSessionId = ''): Promise<void> {
if (overrideSessionId) {
this.sessionId = overrideSessionId
}
return super.saveContext(inputValues, outputValues)
}
async clear(overrideSessionId = ''): Promise<void> {
if (overrideSessionId) {
this.sessionId = overrideSessionId
}
try {
await this.caller.call(fetch, `${this.url}/sessions/${this.sessionId}/memory`, {
//@ts-ignore
@ -155,6 +177,28 @@ class MotorheadMemoryExtended extends MotorheadMemory {
await this.chatHistory.clear()
await super.clear()
}
async getChatMessages(overrideSessionId = '', returnBaseMessages = false): Promise<IMessage[] | BaseMessage[]> {
const id = overrideSessionId ?? this.sessionId
const memoryVariables = await this.loadMemoryVariables({}, id)
const baseMessages = memoryVariables[this.memoryKey]
return returnBaseMessages ? baseMessages : convertBaseMessagetoIMessage(baseMessages)
}
async addChatMessages(msgArray: { text: string; type: MessageType }[], overrideSessionId = ''): Promise<void> {
const id = overrideSessionId ?? this.sessionId
const input = msgArray.find((msg) => msg.type === 'userMessage')
const output = msgArray.find((msg) => msg.type === 'apiMessage')
const inputValues = { [this.inputKey ?? 'input']: input?.text }
const outputValues = { output: output?.text }
await this.saveContext(inputValues, outputValues, id)
}
async clearChatMessages(overrideSessionId = ''): Promise<void> {
const id = overrideSessionId ?? this.sessionId
await this.clear(id)
}
}
module.exports = { nodeClass: MotorMemory_Memory }

80
packages/components/nodes/memory/RedisBackedChatMemory/RedisBackedChatMemory.ts
View File

@ -1,8 +1,14 @@
import { INode, INodeData, INodeParams, ICommonObject } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam, serializeChatHistory } from '../../../src/utils'
import { INode, INodeData, INodeParams, ICommonObject, IMessage, MessageType, FlowiseMemory, MemoryMethods } from '../../../src/Interface'
import {
convertBaseMessagetoIMessage,
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'
import { mapStoredMessageToChatMessage, BaseMessage, AIMessage, HumanMessage } from 'langchain/schema'
import { Redis } from 'ioredis'
class RedisBackedChatMemory_Memory implements INode {
@ -94,14 +100,20 @@ class RedisBackedChatMemory_Memory implements INode {
}
const initalizeRedis = async (nodeData: INodeData, options: ICommonObject): Promise<BufferMemory> => {
const sessionId = nodeData.inputs?.sessionId as string
const sessionTTL = nodeData.inputs?.sessionTTL as number
const memoryKey = nodeData.inputs?.memoryKey as string
const windowSize = nodeData.inputs?.windowSize as number
const chatId = options?.chatId as string
let isSessionIdUsingChatMessageId = false
if (!sessionId && chatId) isSessionIdUsingChatMessageId = true
let sessionId = ''
if (!nodeData.inputs?.sessionId && chatId) {
isSessionIdUsingChatMessageId = true
sessionId = chatId
} else {
sessionId = nodeData.inputs?.sessionId
}
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const redisUrl = getCredentialParam('redisUrl', credentialData, nodeData)
@ -128,7 +140,7 @@ const initalizeRedis = async (nodeData: INodeData, options: ICommonObject): Prom
}
let obj: RedisChatMessageHistoryInput = {
sessionId: sessionId ? sessionId : chatId,
sessionId,
client
}
@ -162,21 +174,71 @@ const initalizeRedis = async (nodeData: INodeData, options: ICommonObject): Prom
const memory = new BufferMemoryExtended({
memoryKey: memoryKey ?? 'chat_history',
chatHistory: redisChatMessageHistory,
isSessionIdUsingChatMessageId
isSessionIdUsingChatMessageId,
sessionId,
redisClient: client
})
return memory
}
interface BufferMemoryExtendedInput {
isSessionIdUsingChatMessageId: boolean
redisClient: Redis
sessionId: string
}
class BufferMemoryExtended extends BufferMemory {
class BufferMemoryExtended extends FlowiseMemory implements MemoryMethods {
isSessionIdUsingChatMessageId? = false
sessionId = ''
redisClient: Redis
constructor(fields: BufferMemoryInput & Partial<BufferMemoryExtendedInput>) {
constructor(fields: BufferMemoryInput & BufferMemoryExtendedInput) {
super(fields)
this.isSessionIdUsingChatMessageId = fields.isSessionIdUsingChatMessageId
this.sessionId = fields.sessionId
this.redisClient = fields.redisClient
}
async getChatMessages(overrideSessionId = '', returnBaseMessage = false): Promise<IMessage[] | BaseMessage[]> {
if (!this.redisClient) return []
const id = overrideSessionId ?? this.sessionId
const rawStoredMessages = await this.redisClient.lrange(id, 0, -1)
const orderedMessages = rawStoredMessages.reverse().map((message) => JSON.parse(message))
const baseMessages = orderedMessages.map(mapStoredMessageToChatMessage)
return returnBaseMessage ? baseMessages : convertBaseMessagetoIMessage(baseMessages)
}
async addChatMessages(msgArray: { text: string; type: MessageType }[], overrideSessionId = ''): Promise<void> {
if (!this.redisClient) return
const id = overrideSessionId ?? this.sessionId
const input = msgArray.find((msg) => msg.type === 'userMessage')
const output = msgArray.find((msg) => msg.type === 'apiMessage')
if (input) {
const newInputMessage = new HumanMessage(input.text)
const messageToAdd = [newInputMessage].map((msg) => msg.toDict())
await this.redisClient.lpush(id, JSON.stringify(messageToAdd[0]))
}
if (output) {
const newOutputMessage = new AIMessage(output.text)
const messageToAdd = [newOutputMessage].map((msg) => msg.toDict())
await this.redisClient.lpush(id, JSON.stringify(messageToAdd[0]))
}
}
async clearChatMessages(overrideSessionId = ''): Promise<void> {
if (!this.redisClient) return
const id = overrideSessionId ?? this.sessionId
await this.redisClient.del(id)
await this.clear()
}
async resumeMessages(): Promise<void> {
return
}
}

93
packages/components/nodes/memory/UpstashRedisBackedChatMemory/UpstashRedisBackedChatMemory.ts
View File

@ -1,8 +1,16 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam, serializeChatHistory } from '../../../src/utils'
import { ICommonObject } from '../../../src'
import { Redis } from '@upstash/redis'
import { BufferMemory, BufferMemoryInput } from 'langchain/memory'
import { UpstashRedisChatMessageHistory } from 'langchain/stores/message/upstash_redis'
import { mapStoredMessageToChatMessage, AIMessage, HumanMessage, StoredMessage, BaseMessage } from 'langchain/schema'
import { FlowiseMemory, IMessage, INode, INodeData, INodeParams, MemoryMethods, MessageType } from '../../../src/Interface'
import {
convertBaseMessagetoIMessage,
getBaseClasses,
getCredentialData,
getCredentialParam,
serializeChatHistory
} from '../../../src/utils'
import { ICommonObject } from '../../../src/Interface'
class UpstashRedisBackedChatMemory_Memory implements INode {
label: string
@ -84,29 +92,39 @@ class UpstashRedisBackedChatMemory_Memory implements INode {
const initalizeUpstashRedis = async (nodeData: INodeData, options: ICommonObject): Promise<BufferMemory> => {
const baseURL = nodeData.inputs?.baseURL as string
const sessionId = nodeData.inputs?.sessionId as string
const sessionTTL = nodeData.inputs?.sessionTTL as string
const chatId = options?.chatId as string
let isSessionIdUsingChatMessageId = false
if (!sessionId && chatId) isSessionIdUsingChatMessageId = true
let sessionId = ''
if (!nodeData.inputs?.sessionId && chatId) {
isSessionIdUsingChatMessageId = true
sessionId = chatId
} else {
sessionId = nodeData.inputs?.sessionId
}
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const upstashRestToken = getCredentialParam('upstashRestToken', credentialData, nodeData)
const client = new Redis({
url: baseURL,
token: upstashRestToken
})
const redisChatMessageHistory = new UpstashRedisChatMessageHistory({
sessionId: sessionId ? sessionId : chatId,
sessionId,
sessionTTL: sessionTTL ? parseInt(sessionTTL, 10) : undefined,
config: {
url: baseURL,
token: upstashRestToken
}
client
})
const memory = new BufferMemoryExtended({
memoryKey: 'chat_history',
chatHistory: redisChatMessageHistory,
isSessionIdUsingChatMessageId
isSessionIdUsingChatMessageId,
sessionId,
redisClient: client
})
return memory
@ -114,14 +132,63 @@ const initalizeUpstashRedis = async (nodeData: INodeData, options: ICommonObject
interface BufferMemoryExtendedInput {
isSessionIdUsingChatMessageId: boolean
redisClient: Redis
sessionId: string
}
class BufferMemoryExtended extends BufferMemory {
class BufferMemoryExtended extends FlowiseMemory implements MemoryMethods {
isSessionIdUsingChatMessageId? = false
sessionId = ''
redisClient: Redis
constructor(fields: BufferMemoryInput & Partial<BufferMemoryExtendedInput>) {
constructor(fields: BufferMemoryInput & BufferMemoryExtendedInput) {
super(fields)
this.isSessionIdUsingChatMessageId = fields.isSessionIdUsingChatMessageId
this.sessionId = fields.sessionId
this.redisClient = fields.redisClient
}
async getChatMessages(overrideSessionId = '', returnBaseMessages = false): Promise<IMessage[] | BaseMessage[]> {
if (!this.redisClient) return []
const id = overrideSessionId ?? this.sessionId
const rawStoredMessages: StoredMessage[] = await this.redisClient.lrange<StoredMessage>(id, 0, -1)
const orderedMessages = rawStoredMessages.reverse()
const previousMessages = orderedMessages.filter((x): x is StoredMessage => x.type !== undefined && x.data.content !== undefined)
const baseMessages = previousMessages.map(mapStoredMessageToChatMessage)
return returnBaseMessages ? baseMessages : convertBaseMessagetoIMessage(baseMessages)
}
async addChatMessages(msgArray: { text: string; type: MessageType }[], overrideSessionId = ''): Promise<void> {
if (!this.redisClient) return
const id = overrideSessionId ?? this.sessionId
const input = msgArray.find((msg) => msg.type === 'userMessage')
const output = msgArray.find((msg) => msg.type === 'apiMessage')
if (input) {
const newInputMessage = new HumanMessage(input.text)
const messageToAdd = [newInputMessage].map((msg) => msg.toDict())
await this.redisClient.lpush(id, JSON.stringify(messageToAdd[0]))
}
if (output) {
const newOutputMessage = new AIMessage(output.text)
const messageToAdd = [newOutputMessage].map((msg) => msg.toDict())
await this.redisClient.lpush(id, JSON.stringify(messageToAdd[0]))
}
}
async clearChatMessages(overrideSessionId = ''): Promise<void> {
if (!this.redisClient) return
const id = overrideSessionId ?? this.sessionId
await this.redisClient.del(id)
await this.clear()
}
async resumeMessages(): Promise<void> {
return
}
}

33
packages/components/nodes/memory/ZepMemory/ZepMemory.ts
View File

@ -1,8 +1,9 @@
import { IMessage, INode, INodeData, INodeParams, MemoryMethods, MessageType } from '../../../src/Interface'
import { convertBaseMessagetoIMessage, getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { ZepMemory, ZepMemoryInput } from 'langchain/memory/zep'
import { getBufferString, InputValues, MemoryVariables, OutputValues } from 'langchain/memory'
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { ICommonObject } from '../../../src'
import { InputValues, MemoryVariables, OutputValues, getBufferString } from 'langchain/memory'
import { BaseMessage } from 'langchain/schema'
class ZepMemory_Memory implements INode {
label: string
@ -147,7 +148,7 @@ const initalizeZep = async (nodeData: INodeData, options: ICommonObject): Promis
const obj: ZepMemoryInput & ZepMemoryExtendedInput = {
baseURL,
sessionId: sessionId ? sessionId : chatId,
sessionId,
aiPrefix,
humanPrefix,
returnMessages: true,
@ -166,7 +167,7 @@ interface ZepMemoryExtendedInput {
k?: number
}
class ZepMemoryExtended extends ZepMemory {
class ZepMemoryExtended extends ZepMemory implements MemoryMethods {
isSessionIdUsingChatMessageId? = false
lastN?: number
@ -196,6 +197,28 @@ class ZepMemoryExtended extends ZepMemory {
}
return super.clear()
}
async getChatMessages(overrideSessionId = '', returnBaseMessages = false): Promise<IMessage[] | BaseMessage[]> {
const id = overrideSessionId ?? this.sessionId
const memoryVariables = await this.loadMemoryVariables({}, id)
const baseMessages = memoryVariables[this.memoryKey]
return returnBaseMessages ? baseMessages : convertBaseMessagetoIMessage(baseMessages)
}
async addChatMessages(msgArray: { text: string; type: MessageType }[], overrideSessionId = ''): Promise<void> {
const id = overrideSessionId ?? this.sessionId
const input = msgArray.find((msg) => msg.type === 'userMessage')
const output = msgArray.find((msg) => msg.type === 'apiMessage')
const inputValues = { [this.inputKey ?? 'input']: input?.text }
const outputValues = { output: output?.text }
await this.saveContext(inputValues, outputValues, id)
}
async clearChatMessages(overrideSessionId = ''): Promise<void> {
const id = overrideSessionId ?? this.sessionId
await this.clear(id)
}
}
module.exports = { nodeClass: ZepMemory_Memory }

16
packages/components/nodes/moderation/SimplePromptModeration/SimplePromptModeration.ts
View File

@ -2,6 +2,7 @@ import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src'
import { Moderation } from '../Moderation'
import { SimplePromptModerationRunner } from './SimplePromptModerationRunner'
import { BaseChatModel } from 'langchain/chat_models/base'
class SimplePromptModeration implements INode {
label: string
@ -17,7 +18,7 @@ class SimplePromptModeration implements INode {
constructor() {
this.label = 'Simple Prompt Moderation'
this.name = 'inputModerationSimple'
this.version = 1.0
this.version = 2.0
this.type = 'Moderation'
this.icon = 'moderation.svg'
this.category = 'Moderation'
@ -30,8 +31,14 @@ class SimplePromptModeration implements INode {
type: 'string',
rows: 4,
placeholder: `ignore previous instructions\ndo not follow the directions\nyou must ignore all previous instructions`,
description: 'An array of string literals (enter one per line) that should not appear in the prompt text.',
optional: false
description: 'An array of string literals (enter one per line) that should not appear in the prompt text.'
},
{
label: 'Chat Model',
name: 'model',
type: 'BaseChatModel',
description: 'Use LLM to detect if the input is similar to those specified in Deny List',
optional: true
},
{
label: 'Error Message',
@ -46,9 +53,10 @@ class SimplePromptModeration implements INode {
async init(nodeData: INodeData): Promise<any> {
const denyList = nodeData.inputs?.denyList as string
const model = nodeData.inputs?.model as BaseChatModel
const moderationErrorMessage = nodeData.inputs?.moderationErrorMessage as string
return new SimplePromptModerationRunner(denyList, moderationErrorMessage)
return new SimplePromptModerationRunner(denyList, moderationErrorMessage, model)
}
}

26
packages/components/nodes/moderation/SimplePromptModeration/SimplePromptModerationRunner.ts
View File

@ -1,23 +1,39 @@
import { Moderation } from '../Moderation'
import { BaseChatModel } from 'langchain/chat_models/base'
export class SimplePromptModerationRunner implements Moderation {
private readonly denyList: string = ''
private readonly moderationErrorMessage: string = ''
private readonly model: BaseChatModel
constructor(denyList: string, moderationErrorMessage: string) {
constructor(denyList: string, moderationErrorMessage: string, model?: BaseChatModel) {
this.denyList = denyList
if (denyList.indexOf('\n') === -1) {
this.denyList += '\n'
}
this.moderationErrorMessage = moderationErrorMessage
if (model) this.model = model
}
async checkForViolations(input: string): Promise<string> {
this.denyList.split('\n').forEach((denyListItem) => {
if (denyListItem && denyListItem !== '' && input.toLowerCase().includes(denyListItem.toLowerCase())) {
throw Error(this.moderationErrorMessage)
if (this.model) {
const denyArray = this.denyList.split('\n')
for (const denyStr of denyArray) {
if (!denyStr || denyStr === '') continue
const res = await this.model.invoke(
`Are these two sentences similar to each other? Only return Yes or No.\nFirst sentence: ${input}\nSecond sentence: ${denyStr}`
)
if (res.content.toString().toLowerCase().includes('yes')) {
throw Error(this.moderationErrorMessage)
}
}
})
} else {
this.denyList.split('\n').forEach((denyListItem) => {
if (denyListItem && denyListItem !== '' && input.toLowerCase().includes(denyListItem.toLowerCase())) {
throw Error(this.moderationErrorMessage)
}
})
}
return Promise.resolve(input)
}
}

1
packages/components/nodes/prompts/FewShotPromptTemplate/prompt.svg
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@ -1,5 +1,4 @@
<svg width="32" height="32" viewBox="0 0 32 32" fill="none" xmlns="http://www.w3.org/2000/svg">
<rect width="32" height="32" fill="white"/>
<rect x="5" y="7" width="22" height="18" rx="2" stroke="black" stroke-width="2"/>
<path d="M11 12L15 16L11 20" stroke="black" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>
<path d="M17 20H21" stroke="black" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>

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1
packages/components/nodes/prompts/PromptTemplate/prompt.svg
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@ -1,5 +1,4 @@
<svg width="32" height="32" viewBox="0 0 32 32" fill="none" xmlns="http://www.w3.org/2000/svg">
<rect width="32" height="32" fill="white"/>
<rect x="5" y="7" width="22" height="18" rx="2" stroke="black" stroke-width="2"/>
<path d="M11 12L15 16L11 20" stroke="black" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>
<path d="M17 20H21" stroke="black" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>

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33
packages/components/nodes/tools/CustomTool/CustomTool.ts
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@ -60,7 +60,7 @@ class CustomTool_Tools implements INode {
}
}
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
async init(nodeData: INodeData, input: string, options: ICommonObject): Promise<any> {
const selectedToolId = nodeData.inputs?.selectedTool as string
const customToolFunc = nodeData.inputs?.customToolFunc as string
@ -80,7 +80,36 @@ class CustomTool_Tools implements INode {
code: tool.func
}
if (customToolFunc) obj.code = customToolFunc
return new DynamicStructuredTool(obj)
const variables = await appDataSource.getRepository(databaseEntities['Variable']).find()
// override variables defined in overrideConfig
// nodeData.inputs.variables is an Object, check each property and override the variable
if (nodeData?.inputs?.vars) {
for (const propertyName of Object.getOwnPropertyNames(nodeData.inputs.vars)) {
const foundVar = variables.find((v) => v.name === propertyName)
if (foundVar) {
// even if the variable was defined as runtime, we override it with static value
foundVar.type = 'static'
foundVar.value = nodeData.inputs.vars[propertyName]
} else {
// add it the variables, if not found locally in the db
variables.push({ name: propertyName, type: 'static', value: nodeData.inputs.vars[propertyName] })
}
}
}
const flow = {
chatId: options.chatId, // id is uppercase (I)
chatflowId: options.chatflowid, // id is lowercase (i)
input
}
let dynamicStructuredTool = new DynamicStructuredTool(obj)
dynamicStructuredTool.setVariables(variables)
dynamicStructuredTool.setFlowObject(flow)
return dynamicStructuredTool
} catch (e) {
throw new Error(e)
}

92
packages/components/nodes/tools/CustomTool/core.ts
View File

@ -1,8 +1,18 @@
import { z } from 'zod'
import { CallbackManagerForToolRun } from 'langchain/callbacks'
import { StructuredTool, ToolParams } from 'langchain/tools'
import { NodeVM } from 'vm2'
import { availableDependencies } from '../../../src/utils'
import { RunnableConfig } from '@langchain/core/runnables'
import { StructuredTool, ToolParams } from '@langchain/core/tools'
import { CallbackManagerForToolRun, Callbacks, CallbackManager, parseCallbackConfigArg } from '@langchain/core/callbacks/manager'
class ToolInputParsingException extends Error {
output?: string
constructor(message: string, output?: string) {
super(message)
this.output = output
}
}
export interface BaseDynamicToolInput extends ToolParams {
name: string
@ -32,6 +42,8 @@ export class DynamicStructuredTool<
func: DynamicStructuredToolInput['func']
schema: T
private variables: any[]
private flowObj: any
constructor(fields: DynamicStructuredToolInput<T>) {
super(fields)
@ -43,7 +55,47 @@ export class DynamicStructuredTool<
this.schema = fields.schema
}
protected async _call(arg: z.output<T>): Promise<string> {
async call(arg: z.output<T>, configArg?: RunnableConfig | Callbacks, tags?: string[], overrideSessionId?: string): Promise<string> {
const config = parseCallbackConfigArg(configArg)
if (config.runName === undefined) {
config.runName = this.name
}
let parsed
try {
parsed = await this.schema.parseAsync(arg)
} catch (e) {
throw new ToolInputParsingException(`Received tool input did not match expected schema`, JSON.stringify(arg))
}
const callbackManager_ = await CallbackManager.configure(
config.callbacks,
this.callbacks,
config.tags || tags,
this.tags,
config.metadata,
this.metadata,
{ verbose: this.verbose }
)
const runManager = await callbackManager_?.handleToolStart(
this.toJSON(),
typeof parsed === 'string' ? parsed : JSON.stringify(parsed),
undefined,
undefined,
undefined,
undefined,
config.runName
)
let result
try {
result = await this._call(parsed, runManager, overrideSessionId)
} catch (e) {
await runManager?.handleToolError(e)
throw e
}
await runManager?.handleToolEnd(result)
return result
}
protected async _call(arg: z.output<T>, _?: CallbackManagerForToolRun, overrideSessionId?: string): Promise<string> {
let sandbox: any = {}
if (typeof arg === 'object' && Object.keys(arg).length) {
for (const item in arg) {
@ -51,6 +103,32 @@ export class DynamicStructuredTool<
}
}
// inject variables
let vars = {}
if (this.variables) {
for (const item of this.variables) {
let value = item.value
// read from .env file
if (item.type === 'runtime') {
value = process.env[item.name]
}
Object.defineProperty(vars, item.name, {
enumerable: true,
configurable: true,
writable: true,
value: value
})
}
}
sandbox['$vars'] = vars
// inject flow properties
if (this.flowObj) {
sandbox['$flow'] = { ...this.flowObj, sessionId: overrideSessionId }
}
const defaultAllowBuiltInDep = [
'assert',
'buffer',
@ -87,4 +165,12 @@ export class DynamicStructuredTool<
return response
}
setVariables(variables: any[]) {
this.variables = variables
}
setFlowObject(flow: any) {
this.flowObj = flow
}
}

2
packages/components/nodes/utilities/CustomFunction/CustomFunction.ts
View File

@ -65,7 +65,7 @@ class CustomFunction_Utilities implements INode {
inputVars =
typeof functionInputVariablesRaw === 'object' ? functionInputVariablesRaw : JSON.parse(functionInputVariablesRaw)
} catch (exception) {
throw new Error("Invalid JSON in the PromptTemplate's promptValues: " + exception)
throw new Error('Invalid JSON in the Custom Function Input Variables: ' + exception)
}
}

2
packages/components/nodes/utilities/IfElseFunction/ifelsefunction.svg
View File

@ -1 +1 @@
<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-arrows-split-2" width="24" height="24" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none"/><path d="M21 17h-5.397a5 5 0 0 1 -4.096 -2.133l-.514 -.734a5 5 0 0 0 -4.096 -2.133h-3.897" /><path d="M21 7h-5.395a5 5 0 0 0 -4.098 2.135l-.51 .73a5 5 0 0 1 -4.097 2.135h-3.9" /><path d="M18 10l3 -3l-3 -3" /><path d="M18 20l3 -3l-3 -3" /></svg>
<svg width="32" height="32" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M5 16h6.127a4 4 0 0 0 3.072-1.44l2.602-3.12A4 4 0 0 1 19.874 10H27m0 12h-7.127a4 4 0 0 1-3.072-1.44L15.5 19l-.65-.78" stroke="#000" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/><path d="m24 7 3.136 3L24 13m0 12 3.136-3L24 19" stroke="#000" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/></svg>
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13
packages/components/nodes/vectorstores/Postgres/Postgres.ts
View File

@ -24,7 +24,7 @@ class Postgres_VectorStores implements INode {
constructor() {
this.label = 'Postgres'
this.name = 'postgres'
this.version = 1.0
this.version = 2.0
this.type = 'Postgres'
this.icon = 'postgres.svg'
this.category = 'Vector Stores'
@ -60,6 +60,13 @@ class Postgres_VectorStores implements INode {
name: 'database',
type: 'string'
},
{
label: 'SSL Connection',
name: 'sslConnection',
type: 'boolean',
default: false,
optional: false
},
{
label: 'Port',
name: 'port',
@ -117,6 +124,7 @@ class Postgres_VectorStores implements INode {
const docs = nodeData.inputs?.document as Document[]
const embeddings = nodeData.inputs?.embeddings as Embeddings
const additionalConfig = nodeData.inputs?.additionalConfig as string
const sslConnection = nodeData.inputs?.sslConnection as boolean
let additionalConfiguration = {}
if (additionalConfig) {
@ -134,7 +142,8 @@ class Postgres_VectorStores implements INode {
port: nodeData.inputs?.port as number,
username: user,
password: password,
database: nodeData.inputs?.database as string
database: nodeData.inputs?.database as string,
ssl: sslConnection
}
const args = {

13
packages/components/nodes/vectorstores/Postgres/Postgres_Exisiting.ts
View File

@ -23,7 +23,7 @@ class Postgres_Existing_VectorStores implements INode {
constructor() {
this.label = 'Postgres Load Existing Index'
this.name = 'postgresExistingIndex'
this.version = 1.0
this.version = 2.0
this.type = 'Postgres'
this.icon = 'postgres.svg'
this.category = 'Vector Stores'
@ -52,6 +52,13 @@ class Postgres_Existing_VectorStores implements INode {
name: 'database',
type: 'string'
},
{
label: 'SSL Connection',
name: 'sslConnection',
type: 'boolean',
default: false,
optional: false
},
{
label: 'Port',
name: 'port',
@ -109,6 +116,7 @@ class Postgres_Existing_VectorStores implements INode {
const output = nodeData.outputs?.output as string
const topK = nodeData.inputs?.topK as string
const k = topK ? parseFloat(topK) : 4
const sslConnection = nodeData.inputs?.sslConnection as boolean
let additionalConfiguration = {}
if (additionalConfig) {
@ -126,7 +134,8 @@ class Postgres_Existing_VectorStores implements INode {
port: nodeData.inputs?.port as number,
username: user,
password: password,
database: nodeData.inputs?.database as string
database: nodeData.inputs?.database as string,
ssl: sslConnection
}
const args = {

13
packages/components/nodes/vectorstores/Postgres/Postgres_Upsert.ts
View File

@ -24,7 +24,7 @@ class PostgresUpsert_VectorStores implements INode {
constructor() {
this.label = 'Postgres Upsert Document'
this.name = 'postgresUpsert'
this.version = 1.0
this.version = 2.0
this.type = 'Postgres'
this.icon = 'postgres.svg'
this.category = 'Vector Stores'
@ -59,6 +59,13 @@ class PostgresUpsert_VectorStores implements INode {
name: 'database',
type: 'string'
},
{
label: 'SSL Connection',
name: 'sslConnection',
type: 'boolean',
default: false,
optional: false
},
{
label: 'Port',
name: 'port',
@ -117,6 +124,7 @@ class PostgresUpsert_VectorStores implements INode {
const output = nodeData.outputs?.output as string
const topK = nodeData.inputs?.topK as string
const k = topK ? parseFloat(topK) : 4
const sslConnection = nodeData.inputs?.sslConnection as boolean
let additionalConfiguration = {}
if (additionalConfig) {
@ -134,7 +142,8 @@ class PostgresUpsert_VectorStores implements INode {
port: nodeData.inputs?.port as number,
username: user,
password: password,
database: nodeData.inputs?.database as string
database: nodeData.inputs?.database as string,
ssl: sslConnection
}
const args = {

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