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>
This commit is contained in:
Jan Oberhauser
2023-11-29 12:13:55 +01:00
committed by GitHub
parent dbfd617ace
commit 87def60979
243 changed files with 21526 additions and 321 deletions

View File

@@ -0,0 +1,133 @@
/* eslint-disable n8n-nodes-base/node-dirname-against-convention */
import {
NodeConnectionType,
type IExecuteFunctions,
type INodeType,
type INodeTypeDescription,
type SupplyData,
} from 'n8n-workflow';
import type { BufferWindowMemoryInput } from 'langchain/memory';
import { BufferWindowMemory } from 'langchain/memory';
import { logWrapper } from '../../../utils/logWrapper';
import { getConnectionHintNoticeField } from '../../../utils/sharedFields';
class MemoryChatBufferSingleton {
private static instance: MemoryChatBufferSingleton;
private memoryBuffer: Map<
string,
{ buffer: BufferWindowMemory; created: Date; last_accessed: Date }
>;
private constructor() {
this.memoryBuffer = new Map();
}
public static getInstance(): MemoryChatBufferSingleton {
if (!MemoryChatBufferSingleton.instance) {
MemoryChatBufferSingleton.instance = new MemoryChatBufferSingleton();
}
return MemoryChatBufferSingleton.instance;
}
public async getMemory(
sessionKey: string,
memoryParams: BufferWindowMemoryInput,
): Promise<BufferWindowMemory> {
await this.cleanupStaleBuffers();
let memoryInstance = this.memoryBuffer.get(sessionKey);
if (memoryInstance) {
memoryInstance.last_accessed = new Date();
} else {
const newMemory = new BufferWindowMemory(memoryParams);
memoryInstance = {
buffer: newMemory,
created: new Date(),
last_accessed: new Date(),
};
this.memoryBuffer.set(sessionKey, memoryInstance);
}
return memoryInstance.buffer;
}
private async cleanupStaleBuffers(): Promise<void> {
const oneHourAgo = new Date(Date.now() - 60 * 60 * 1000);
for (const [key, memoryInstance] of this.memoryBuffer.entries()) {
if (memoryInstance.last_accessed < oneHourAgo) {
await this.memoryBuffer.get(key)?.buffer.clear();
this.memoryBuffer.delete(key);
}
}
}
}
export class MemoryBufferWindow implements INodeType {
description: INodeTypeDescription = {
displayName: 'Window Buffer Memory (easiest)',
name: 'memoryBufferWindow',
icon: 'fa:database',
group: ['transform'],
version: 1,
description: 'Stores in n8n memory, so no credentials required',
defaults: {
name: 'Window Buffer Memory',
},
codex: {
categories: ['AI'],
subcategories: {
AI: ['Memory'],
},
resources: {
primaryDocumentation: [
{
url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.memorybufferwindow/',
},
],
},
},
// eslint-disable-next-line n8n-nodes-base/node-class-description-inputs-wrong-regular-node
inputs: [],
// eslint-disable-next-line n8n-nodes-base/node-class-description-outputs-wrong
outputs: [NodeConnectionType.AiMemory],
outputNames: ['Memory'],
properties: [
getConnectionHintNoticeField([NodeConnectionType.AiAgent]),
{
displayName: 'Session Key',
name: 'sessionKey',
type: 'string',
default: 'chat_history',
description: 'The key to use to store the memory in the workflow data',
},
{
displayName: 'Context Window Length',
name: 'contextWindowLength',
type: 'number',
default: 5,
description: 'The number of previous messages to consider for context',
},
],
};
async supplyData(this: IExecuteFunctions, itemIndex: number): Promise<SupplyData> {
const sessionKey = this.getNodeParameter('sessionKey', itemIndex) as string;
const contextWindowLength = this.getNodeParameter('contextWindowLength', itemIndex) as number;
const workflowId = this.getWorkflow().id;
const memoryInstance = MemoryChatBufferSingleton.getInstance();
const memory = await memoryInstance.getMemory(`${workflowId}__${sessionKey}`, {
k: contextWindowLength,
inputKey: 'input',
memoryKey: 'chat_history',
outputKey: 'output',
returnMessages: true,
});
return {
response: logWrapper(memory, this),
};
}
}