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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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@@ -0,0 +1,104 @@
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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 IDataObject,
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type IExecuteFunctions,
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type INodeExecutionData,
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type INodeType,
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type INodeTypeDescription,
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} from 'n8n-workflow';
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import type { BaseChatMemory } from 'langchain/memory';
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import type { BaseMessage } from 'langchain/schema';
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function simplifyMessages(messages: BaseMessage[]) {
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const chunkedMessages = [];
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for (let i = 0; i < messages.length; i += 2) {
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chunkedMessages.push([messages[i], messages[i + 1]]);
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}
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const transformedMessages = chunkedMessages.map((exchange) => {
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const simplified = {
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[exchange[0]._getType()]: exchange[0].content,
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};
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if (exchange[1]) {
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simplified[exchange[1]._getType()] = exchange[1].content;
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}
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return {
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json: simplified,
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};
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});
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return transformedMessages;
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}
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export class MemoryChatRetriever implements INodeType {
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description: INodeTypeDescription = {
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displayName: 'Chat Messages Retriever',
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name: 'memoryChatRetriever',
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icon: 'fa:database',
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group: ['transform'],
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version: 1,
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description: 'Retrieve chat messages from memory and use them in the workflow',
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defaults: {
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name: 'Chat Messages Retriever',
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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: ['Miscellaneous'],
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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.memorychatretriever/',
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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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NodeConnectionType.Main,
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{
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displayName: 'Memory',
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maxConnections: 1,
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type: NodeConnectionType.AiMemory,
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required: true,
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},
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],
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// eslint-disable-next-line n8n-nodes-base/node-class-description-outputs-wrong
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outputs: [NodeConnectionType.Main],
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properties: [
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{
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displayName: 'Simplify Output',
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name: 'simplifyOutput',
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type: 'boolean',
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description: 'Whether to simplify the output to only include the sender and the text',
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default: true,
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},
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],
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};
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async execute(this: IExecuteFunctions): Promise<INodeExecutionData[][]> {
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this.logger.verbose('Executing Chat Memory Retriever');
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const memory = (await this.getInputConnectionData(NodeConnectionType.AiMemory, 0)) as
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| BaseChatMemory
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| undefined;
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const simplifyOutput = this.getNodeParameter('simplifyOutput', 0) as boolean;
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const messages = await memory?.chatHistory.getMessages();
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if (simplifyOutput && messages) {
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return this.prepareOutputData(simplifyMessages(messages));
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}
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const serializedMessages =
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messages?.map((message) => {
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const serializedMessage = message.toJSON();
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return { json: serializedMessage as unknown as IDataObject };
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}) ?? [];
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return this.prepareOutputData(serializedMessages);
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}
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}
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