feat(Token Splitter Node): Replace remote tiktoken encoding with local implementation (#16548)

packages/@n8n/nodes-langchain/nodes/llms/N8nLlmTracing.ts

@@ -8,12 +8,12 @@ import type {
 } from '@langchain/core/load/serializable';
 import type { BaseMessage } from '@langchain/core/messages';
 import type { LLMResult } from '@langchain/core/outputs';
-import { encodingForModel } from '@langchain/core/utils/tiktoken';
 import pick from 'lodash/pick';
 import type { IDataObject, ISupplyDataFunctions, JsonObject } from 'n8n-workflow';
 import { NodeConnectionTypes, NodeError, NodeOperationError } from 'n8n-workflow';
 
 import { logAiEvent } from '@utils/helpers';
+import { encodingForModel } from '@utils/tokenizer/tiktoken';
 
 type TokensUsageParser = (llmOutput: LLMResult['llmOutput']) => {
 	completionTokens: number;

packages/@n8n/nodes-langchain/nodes/text_splitters/TextSplitterTokenSplitter/TextSplitterTokenSplitter.node.ts

@@ -1,5 +1,4 @@
 /* eslint-disable n8n-nodes-base/node-dirname-against-convention */
-import { TokenTextSplitter } from '@langchain/textsplitters';
 import {
 	NodeConnectionTypes,
 	type INodeType,
@@ -11,6 +10,8 @@ import {
 import { logWrapper } from '@utils/logWrapper';
 import { getConnectionHintNoticeField } from '@utils/sharedFields';
 
+import { TokenTextSplitter } from './TokenTextSplitter';
+
 export class TextSplitterTokenSplitter implements INodeType {
 	description: INodeTypeDescription = {
 		displayName: 'Token Splitter',
@@ -71,9 +72,6 @@ export class TextSplitterTokenSplitter implements INodeType {
 			disallowedSpecial: 'all',
 			encodingName: 'cl100k_base',
 			keepSeparator: false,
-			// allowedSpecial: 'all',
-			// disallowedSpecial: 'all',
-			// encodingName: 'cl100k_base',
 		});
 
 		return {

packages/@n8n/nodes-langchain/nodes/text_splitters/TextSplitterTokenSplitter/TokenTextSplitter.ts

@@ -0,0 +1,57 @@
+/* eslint-disable n8n-nodes-base/node-dirname-against-convention */
+import type { TokenTextSplitterParams } from '@langchain/textsplitters';
+import { TextSplitter } from '@langchain/textsplitters';
+import type * as tiktoken from 'js-tiktoken';
+
+import { getEncoding } from '@utils/tokenizer/tiktoken';
+
+/**
+ * Implementation of splitter which looks at tokens.
+ * This is override of the LangChain TokenTextSplitter
+ * to use the n8n tokenizer utility which uses local JSON encodings
+ */
+export class TokenTextSplitter extends TextSplitter implements TokenTextSplitterParams {
+	static lc_name() {
+		return 'TokenTextSplitter';
+	}
+
+	encodingName: tiktoken.TiktokenEncoding;
+
+	allowedSpecial: 'all' | string[];
+
+	disallowedSpecial: 'all' | string[];
+
+	private tokenizer: tiktoken.Tiktoken | undefined;
+
+	constructor(fields?: Partial<TokenTextSplitterParams>) {
+		super(fields);
+
+		this.encodingName = fields?.encodingName ?? 'cl100k_base';
+		this.allowedSpecial = fields?.allowedSpecial ?? [];
+		this.disallowedSpecial = fields?.disallowedSpecial ?? 'all';
+	}
+
+	async splitText(text: string): Promise<string[]> {
+		if (!this.tokenizer) {
+			this.tokenizer = await getEncoding(this.encodingName);
+		}
+
+		const splits: string[] = [];
+
+		const input_ids = this.tokenizer.encode(text, this.allowedSpecial, this.disallowedSpecial);
+
+		let start_idx = 0;
+
+		while (start_idx < input_ids.length) {
+			if (start_idx > 0) {
+				start_idx -= this.chunkOverlap;
+			}
+			const end_idx = Math.min(start_idx + this.chunkSize, input_ids.length);
+			const chunk_ids = input_ids.slice(start_idx, end_idx);
+			splits.push(this.tokenizer.decode(chunk_ids));
+			start_idx = end_idx;
+		}
+
+		return splits;
+	}
+}

packages/@n8n/nodes-langchain/nodes/text_splitters/TextSplitterTokenSplitter/tests/TokenTextSplitter.test.ts

@@ -0,0 +1,165 @@
+import * as tiktokenUtils from '../../../../utils/tokenizer/tiktoken';
+import { TokenTextSplitter } from '../TokenTextSplitter';
+
+jest.mock('../../../../utils/tokenizer/tiktoken');
+
+describe('TokenTextSplitter', () => {
+	let mockTokenizer: jest.Mocked<{
+		encode: jest.Mock;
+		decode: jest.Mock;
+	}>;
+
+	beforeEach(() => {
+		mockTokenizer = {
+			encode: jest.fn(),
+			decode: jest.fn(),
+		};
+		(tiktokenUtils.getEncoding as jest.Mock).mockResolvedValue(mockTokenizer);
+	});
+
+	afterEach(() => {
+		jest.clearAllMocks();
+	});
+
+	describe('constructor', () => {
+		it('should initialize with default parameters', () => {
+			const splitter = new TokenTextSplitter();
+
+			expect(splitter.encodingName).toBe('cl100k_base');
+			expect(splitter.allowedSpecial).toEqual([]);
+			expect(splitter.disallowedSpecial).toBe('all');
+		});
+
+		it('should initialize with custom parameters', () => {
+			const splitter = new TokenTextSplitter({
+				encodingName: 'o200k_base',
+				allowedSpecial: ['<|special|>'],
+				disallowedSpecial: ['<|bad|>'],
+				chunkSize: 500,
+				chunkOverlap: 50,
+			});
+
+			expect(splitter.encodingName).toBe('o200k_base');
+			expect(splitter.allowedSpecial).toEqual(['<|special|>']);
+			expect(splitter.disallowedSpecial).toEqual(['<|bad|>']);
+			expect(splitter.chunkSize).toBe(500);
+			expect(splitter.chunkOverlap).toBe(50);
+		});
+
+		it('should have correct lc_name', () => {
+			expect(TokenTextSplitter.lc_name()).toBe('TokenTextSplitter');
+		});
+	});
+
+	describe('splitText', () => {
+		it('should split text into chunks based on token count', async () => {
+			const splitter = new TokenTextSplitter({
+				chunkSize: 3,
+				chunkOverlap: 0,
+			});
+
+			const inputText = 'Hello world, this is a test';
+			const mockTokenIds = [1, 2, 3, 4, 5, 6, 7, 8];
+
+			mockTokenizer.encode.mockReturnValue(mockTokenIds);
+			mockTokenizer.decode.mockImplementation((tokens: number[]) => {
+				const chunks = [
+					[1, 2, 3],
+					[4, 5, 6],
+					[7, 8],
+				];
+				const chunkTexts = ['Hello world,', ' this is', ' a test'];
+				const index = chunks.findIndex(
+					(chunk) => chunk.length === tokens.length && chunk.every((val, i) => val === tokens[i]),
+				);
+				return chunkTexts[index] || '';
+			});
+
+			const result = await splitter.splitText(inputText);
+
+			expect(tiktokenUtils.getEncoding).toHaveBeenCalledWith('cl100k_base');
+			expect(mockTokenizer.encode).toHaveBeenCalledWith(inputText, [], 'all');
+			expect(result).toEqual(['Hello world,', ' this is', ' a test']);
+		});
+
+		it('should handle empty text', async () => {
+			const splitter = new TokenTextSplitter();
+			mockTokenizer.encode.mockReturnValue([]);
+
+			const result = await splitter.splitText('');
+
+			expect(result).toEqual([]);
+		});
+
+		it('should handle text shorter than chunk size', async () => {
+			const splitter = new TokenTextSplitter({
+				chunkSize: 10,
+				chunkOverlap: 0,
+			});
+
+			const inputText = 'Short text';
+			const mockTokenIds = [1, 2];
+
+			mockTokenizer.encode.mockReturnValue(mockTokenIds);
+			mockTokenizer.decode.mockReturnValue('Short text');
+
+			const result = await splitter.splitText(inputText);
+
+			expect(result).toEqual(['Short text']);
+		});
+
+		it('should use custom encoding and special tokens', async () => {
+			const splitter = new TokenTextSplitter({
+				encodingName: 'o200k_base',
+				allowedSpecial: ['<|special|>'],
+				disallowedSpecial: ['<|bad|>'],
+			});
+
+			const inputText = 'Text with <|special|> tokens';
+			mockTokenizer.encode.mockReturnValue([1, 2, 3]);
+			mockTokenizer.decode.mockReturnValue('Text with <|special|> tokens');
+
+			await splitter.splitText(inputText);
+
+			expect(tiktokenUtils.getEncoding).toHaveBeenCalledWith('o200k_base');
+			expect(mockTokenizer.encode).toHaveBeenCalledWith(inputText, ['<|special|>'], ['<|bad|>']);
+		});
+
+		it('should reuse tokenizer on subsequent calls', async () => {
+			const splitter = new TokenTextSplitter();
+			mockTokenizer.encode.mockReturnValue([1, 2, 3]);
+			mockTokenizer.decode.mockReturnValue('test');
+
+			await splitter.splitText('first call');
+			await splitter.splitText('second call');
+
+			expect(tiktokenUtils.getEncoding).toHaveBeenCalledTimes(1);
+		});
+
+		it('should handle large text with multiple chunks and overlap', async () => {
+			const splitter = new TokenTextSplitter({
+				chunkSize: 2,
+				chunkOverlap: 1,
+			});
+
+			const inputText = 'One two three four five six';
+			const mockTokenIds = [1, 2, 3, 4, 5, 6];
+
+			mockTokenizer.encode.mockReturnValue(mockTokenIds);
+			mockTokenizer.decode.mockImplementation((tokens: number[]) => {
+				const chunkMap: Record<string, string> = {
+					'1,2': 'One two',
+					'2,3': 'two three',
+					'3,4': 'three four',
+					'4,5': 'four five',
+					'5,6': 'five six',
+				};
+				return chunkMap[tokens.join(',')] || '';
+			});
+
+			const result = await splitter.splitText(inputText);
+
+			expect(result).toEqual(['One two', 'two three', 'three four', 'four five', 'five six']);
+		});
+	});
+});