258 lines
9.6 KiB
TypeScript
258 lines
9.6 KiB
TypeScript
import { NodeVM } from '@flowiseai/nodevm'
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import { DataSource } from 'typeorm'
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import { availableDependencies, defaultAllowBuiltInDep, getVars, handleEscapeCharacters, prepareSandboxVars } from '../../../src/utils'
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import { ICommonObject, IDatabaseEntity, INode, INodeData, INodeParams, ISeqAgentNode, ISeqAgentsState } from '../../../src/Interface'
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import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages'
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import { customGet } from '../commonUtils'
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const howToUseCode = `
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1. Must return a string value at the end of function.
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2. You can get default flow config, including the current "state":
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- \`$flow.sessionId\`
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- \`$flow.chatId\`
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- \`$flow.chatflowId\`
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- \`$flow.input\`
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- \`$flow.state\`
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3. You can get custom variables: \`$vars.<variable-name>\`
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`
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class CustomFunction_SeqAgents implements INode {
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label: string
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name: string
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version: number
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description: string
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type: string
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icon: string
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category: string
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baseClasses: string[]
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inputs: INodeParams[]
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constructor() {
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this.label = 'Custom JS Function'
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this.name = 'seqCustomFunction'
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this.version = 1.0
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this.type = 'CustomFunction'
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this.icon = 'customfunction.svg'
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this.category = 'Sequential Agents'
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this.description = `Execute custom javascript function`
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this.baseClasses = [this.type]
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this.inputs = [
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{
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label: 'Input Variables',
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name: 'functionInputVariables',
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description: 'Input variables can be used in the function with prefix $. For example: $var',
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type: 'json',
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optional: true,
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acceptVariable: true,
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list: true
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},
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{
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label: 'Sequential Node',
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name: 'sequentialNode',
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type: 'Start | Agent | Condition | LLMNode | ToolNode | CustomFunction | ExecuteFlow',
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description:
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'Can be connected to one of the following nodes: Start, Agent, Condition, LLM Node, Tool Node, Custom Function, Execute Flow',
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list: true
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},
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{
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label: 'Function Name',
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name: 'functionName',
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type: 'string',
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placeholder: 'My Function'
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},
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{
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label: 'Javascript Function',
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name: 'javascriptFunction',
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type: 'code',
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hint: {
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label: 'How to use',
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value: howToUseCode
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}
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},
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{
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label: 'Return Value As',
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name: 'returnValueAs',
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type: 'options',
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options: [
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{ label: 'AI Message', name: 'aiMessage' },
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{ label: 'Human Message', name: 'humanMessage' },
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{
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label: 'State Object',
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name: 'stateObj',
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description: "Return as state object, ex: { foo: bar }. This will update the custom state 'foo' to 'bar'"
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}
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],
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default: 'aiMessage'
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}
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]
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}
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async init(nodeData: INodeData, input: string, options: ICommonObject): Promise<any> {
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const functionName = nodeData.inputs?.functionName as string
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const javascriptFunction = nodeData.inputs?.javascriptFunction as string
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const functionInputVariablesRaw = nodeData.inputs?.functionInputVariables
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const appDataSource = options.appDataSource as DataSource
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const databaseEntities = options.databaseEntities as IDatabaseEntity
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const sequentialNodes = nodeData.inputs?.sequentialNode as ISeqAgentNode[]
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const returnValueAs = nodeData.inputs?.returnValueAs as string
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if (!sequentialNodes || !sequentialNodes.length) throw new Error('Custom function must have a predecessor!')
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const executeFunc = async (state: ISeqAgentsState) => {
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const variables = await getVars(appDataSource, databaseEntities, nodeData, options)
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const flow = {
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chatflowId: options.chatflowid,
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sessionId: options.sessionId,
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chatId: options.chatId,
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input,
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state
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}
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let inputVars: ICommonObject = {}
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if (functionInputVariablesRaw) {
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try {
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inputVars =
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typeof functionInputVariablesRaw === 'object' ? functionInputVariablesRaw : JSON.parse(functionInputVariablesRaw)
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} catch (exception) {
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throw new Error('Invalid JSON in the Custom Function Input Variables: ' + exception)
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}
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}
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// Some values might be a stringified JSON, parse it
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for (const key in inputVars) {
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let value = inputVars[key]
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if (typeof value === 'string') {
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value = handleEscapeCharacters(value, true)
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if (value.startsWith('{') && value.endsWith('}')) {
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try {
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value = JSON.parse(value)
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const nodeId = value.id || ''
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if (nodeId) {
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const messages = state.messages as unknown as BaseMessage[]
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const content = messages.find((msg) => msg.additional_kwargs?.nodeId === nodeId)?.content
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if (content) {
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value = content
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}
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}
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} catch (e) {
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// ignore
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}
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}
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if (value.startsWith('$flow.')) {
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const variableValue = customGet(flow, value.replace('$flow.', ''))
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if (variableValue) {
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value = variableValue
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}
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} else if (value.startsWith('$vars')) {
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value = customGet(flow, value.replace('$', ''))
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}
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inputVars[key] = value
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}
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}
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let sandbox: any = {
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$input: input,
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util: undefined,
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Symbol: undefined,
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child_process: undefined,
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fs: undefined,
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process: undefined
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}
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sandbox['$vars'] = prepareSandboxVars(variables)
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sandbox['$flow'] = flow
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if (Object.keys(inputVars).length) {
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for (const item in inputVars) {
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sandbox[`$${item}`] = inputVars[item]
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}
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}
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const builtinDeps = process.env.TOOL_FUNCTION_BUILTIN_DEP
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? defaultAllowBuiltInDep.concat(process.env.TOOL_FUNCTION_BUILTIN_DEP.split(','))
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: defaultAllowBuiltInDep
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const externalDeps = process.env.TOOL_FUNCTION_EXTERNAL_DEP ? process.env.TOOL_FUNCTION_EXTERNAL_DEP.split(',') : []
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const deps = availableDependencies.concat(externalDeps)
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const nodeVMOptions = {
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console: 'inherit',
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sandbox,
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require: {
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external: { modules: deps },
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builtin: builtinDeps
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},
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eval: false,
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wasm: false,
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timeout: 10000
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} as any
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const vm = new NodeVM(nodeVMOptions)
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try {
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const response = await vm.run(`module.exports = async function() {${javascriptFunction}}()`, __dirname)
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if (returnValueAs === 'stateObj') {
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if (typeof response !== 'object') {
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throw new Error('Custom function must return an object!')
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}
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return {
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...state,
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...response
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}
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}
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if (typeof response !== 'string') {
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throw new Error('Custom function must return a string!')
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}
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if (returnValueAs === 'humanMessage') {
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return {
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messages: [
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new HumanMessage({
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content: response,
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additional_kwargs: {
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nodeId: nodeData.id
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}
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})
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]
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}
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}
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return {
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messages: [
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new AIMessage({
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content: response,
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additional_kwargs: {
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nodeId: nodeData.id
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}
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})
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]
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}
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} catch (e) {
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throw new Error(e)
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}
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}
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const startLLM = sequentialNodes[0].startLLM
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const returnOutput: ISeqAgentNode = {
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id: nodeData.id,
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node: executeFunc,
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name: functionName.toLowerCase().replace(/\s/g, '_').trim(),
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label: functionName,
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type: 'utilities',
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output: 'CustomFunction',
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llm: startLLM,
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startLLM,
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multiModalMessageContent: sequentialNodes[0]?.multiModalMessageContent,
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predecessorAgents: sequentialNodes
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}
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return returnOutput
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}
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}
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module.exports = { nodeClass: CustomFunction_SeqAgents }
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