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feat: Add AI tool building capabilities (#7336)
Github issue / Community forum post (link here to close automatically): https://community.n8n.io/t/langchain-memory-chat/23733 --------- Signed-off-by: Oleg Ivaniv <me@olegivaniv.com> Co-authored-by: Oleg Ivaniv <me@olegivaniv.com> Co-authored-by: Val <68596159+valya@users.noreply.github.com> Co-authored-by: Alex Grozav <alex@grozav.com> Co-authored-by: कारतोफ्फेलस्क्रिप्ट™ <aditya@netroy.in> Co-authored-by: Deborah <deborah@starfallprojects.co.uk> Co-authored-by: Jesper Bylund <mail@jesperbylund.com> Co-authored-by: Jon <jonathan.bennetts@gmail.com> Co-authored-by: Michael Kret <88898367+michael-radency@users.noreply.github.com> Co-authored-by: Giulio Andreini <andreini@netseven.it> Co-authored-by: Mason Geloso <Mason.geloso@gmail.com> Co-authored-by: Mason Geloso <hone@Masons-Mac-mini.local> Co-authored-by: Mutasem Aldmour <mutasem@n8n.io>
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/* eslint-disable n8n-nodes-base/node-dirname-against-convention */
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import {
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NodeConnectionType,
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type IExecuteFunctions,
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type INodeType,
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type INodeTypeDescription,
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type SupplyData,
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} from 'n8n-workflow';
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import type { BufferWindowMemoryInput } from 'langchain/memory';
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import { BufferWindowMemory } from 'langchain/memory';
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import { logWrapper } from '../../../utils/logWrapper';
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import { getConnectionHintNoticeField } from '../../../utils/sharedFields';
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class MemoryChatBufferSingleton {
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private static instance: MemoryChatBufferSingleton;
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private memoryBuffer: Map<
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string,
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{ buffer: BufferWindowMemory; created: Date; last_accessed: Date }
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>;
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private constructor() {
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this.memoryBuffer = new Map();
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}
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public static getInstance(): MemoryChatBufferSingleton {
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if (!MemoryChatBufferSingleton.instance) {
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MemoryChatBufferSingleton.instance = new MemoryChatBufferSingleton();
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}
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return MemoryChatBufferSingleton.instance;
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}
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public async getMemory(
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sessionKey: string,
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memoryParams: BufferWindowMemoryInput,
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): Promise<BufferWindowMemory> {
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await this.cleanupStaleBuffers();
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let memoryInstance = this.memoryBuffer.get(sessionKey);
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if (memoryInstance) {
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memoryInstance.last_accessed = new Date();
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} else {
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const newMemory = new BufferWindowMemory(memoryParams);
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memoryInstance = {
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buffer: newMemory,
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created: new Date(),
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last_accessed: new Date(),
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};
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this.memoryBuffer.set(sessionKey, memoryInstance);
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}
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return memoryInstance.buffer;
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}
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private async cleanupStaleBuffers(): Promise<void> {
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const oneHourAgo = new Date(Date.now() - 60 * 60 * 1000);
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for (const [key, memoryInstance] of this.memoryBuffer.entries()) {
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if (memoryInstance.last_accessed < oneHourAgo) {
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await this.memoryBuffer.get(key)?.buffer.clear();
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this.memoryBuffer.delete(key);
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}
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}
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}
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}
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export class MemoryBufferWindow implements INodeType {
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description: INodeTypeDescription = {
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displayName: 'Window Buffer Memory (easiest)',
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name: 'memoryBufferWindow',
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icon: 'fa:database',
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group: ['transform'],
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version: 1,
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description: 'Stores in n8n memory, so no credentials required',
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defaults: {
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name: 'Window Buffer Memory',
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},
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codex: {
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categories: ['AI'],
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subcategories: {
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AI: ['Memory'],
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},
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resources: {
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primaryDocumentation: [
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{
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url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.memorybufferwindow/',
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},
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],
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},
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},
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// eslint-disable-next-line n8n-nodes-base/node-class-description-inputs-wrong-regular-node
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inputs: [],
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// eslint-disable-next-line n8n-nodes-base/node-class-description-outputs-wrong
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outputs: [NodeConnectionType.AiMemory],
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outputNames: ['Memory'],
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properties: [
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getConnectionHintNoticeField([NodeConnectionType.AiAgent]),
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{
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displayName: 'Session Key',
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name: 'sessionKey',
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type: 'string',
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default: 'chat_history',
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description: 'The key to use to store the memory in the workflow data',
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},
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{
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displayName: 'Context Window Length',
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name: 'contextWindowLength',
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type: 'number',
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default: 5,
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description: 'The number of previous messages to consider for context',
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},
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],
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};
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async supplyData(this: IExecuteFunctions, itemIndex: number): Promise<SupplyData> {
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const sessionKey = this.getNodeParameter('sessionKey', itemIndex) as string;
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const contextWindowLength = this.getNodeParameter('contextWindowLength', itemIndex) as number;
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const workflowId = this.getWorkflow().id;
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const memoryInstance = MemoryChatBufferSingleton.getInstance();
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const memory = await memoryInstance.getMemory(`${workflowId}__${sessionKey}`, {
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k: contextWindowLength,
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inputKey: 'input',
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memoryKey: 'chat_history',
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outputKey: 'output',
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returnMessages: true,
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});
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return {
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response: logWrapper(memory, this),
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};
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}
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}
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