Tiktoken

This implementation aims for maximum performance, especially in the token count operation.
There's also a benchmark console app here for easy tracking of this.
We will be happy to accept any PR.

Implemented encodings

• o200k_base
• cl100k_base
• r50k_base
• p50k_base
• p50k_edit

Usage

using Tiktoken;

var encoder = ModelToEncoder.For("gpt-4o"); // or explicitly using new Encoder(new O200KBase())
var tokens = encoder.Encode("hello world"); // [15339, 1917]
var text = encoder.Decode(tokens); // hello world
var numberOfTokens = encoder.CountTokens(text); // 2
var stringTokens = encoder.Explore(text); // ["hello", " world"]

Benchmarks

You can view the reports for each version here

BenchmarkDotNet v0.13.12, macOS Sonoma 14.4.1 (23E224) [Darwin 23.4.0]
Apple M1 Pro, 1 CPU, 10 logical and 10 physical cores
.NET SDK 8.0.204
  [Host]     : .NET 8.0.4 (8.0.424.16909), Arm64 RyuJIT AdvSIMD
  DefaultJob : .NET 8.0.4 (8.0.424.16909), Arm64 RyuJIT AdvSIMD

Method	Categories	Data	Mean	Median	Ratio	Gen0	Gen1	Gen2	Allocated	Alloc Ratio
SharpTokenV2_0_1_	CountTokens	1. (...)57. [19866]	632,817.1 ns	632,257.2 ns	1.00	2.9297	-	-	20115 B	1.00
TiktokenSharpV1_0_9_	CountTokens	1. (...)57. [19866]	463,840.3 ns	458,851.3 ns	0.74	64.4531	3.4180	-	404649 B	20.12
TokenizerLibV1_3_3_	CountTokens	1. (...)57. [19866]	801,796.0 ns	806,271.8 ns	1.27	247.0703	98.6328	0.9766	1547675 B	76.94
Tiktoken_	CountTokens	1. (...)57. [19866]	319,697.2 ns	319,475.1 ns	0.50	49.3164	-	-	309449 B	15.38
SharpTokenV2_0_1_	CountTokens	Hello, World!	478.1 ns	478.1 ns	1.00	0.0401	-	-	256 B	1.00
TiktokenSharpV1_0_9_	CountTokens	Hello, World!	275.2 ns	275.1 ns	0.58	0.0505	-	-	320 B	1.25
TokenizerLibV1_3_3_	CountTokens	Hello, World!	498.1 ns	497.4 ns	1.04	0.2356	-	-	1480 B	5.78
Tiktoken_	CountTokens	Hello, World!	212.9 ns	212.8 ns	0.45	0.0420	-	-	264 B	1.03
SharpTokenV2_0_1_	CountTokens	King(...)edy. [275]	6,652.5 ns	6,651.9 ns	1.00	0.0763	-	-	520 B	1.00
TiktokenSharpV1_0_9_	CountTokens	King(...)edy. [275]	4,774.2 ns	4,781.1 ns	0.72	0.8011	-	-	5064 B	9.74
TokenizerLibV1_3_3_	CountTokens	King(...)edy. [275]	7,261.6 ns	7,241.6 ns	1.09	3.0899	0.1450	0.0076	19344 B	37.20
Tiktoken_	CountTokens	King(...)edy. [275]	3,216.1 ns	3,189.9 ns	0.49	0.6447	-	-	4064 B	7.82
SharpTokenV2_0_1_Encode	Encode	1. (...)57. [19866]	613,700.9 ns	612,821.4 ns	1.00	2.9297	-	-	20115 B	1.00
TiktokenSharpV1_0_9_Encode	Encode	1. (...)57. [19866]	444,436.3 ns	444,298.4 ns	0.72	64.4531	3.4180	-	404649 B	20.12
TokenizerLibV1_3_3_Encode	Encode	1. (...)57. [19866]	773,882.5 ns	774,314.3 ns	1.26	246.0938	85.9375	-	1547673 B	76.94
Tiktoken_Encode	Encode	1. (...)57. [19866]	335,482.3 ns	333,936.4 ns	0.55	59.5703	2.4414	-	375601 B	18.67
SharpTokenV2_0_1_Encode	Encode	Hello, World!	443.7 ns	436.8 ns	1.00	0.0405	-	-	256 B	1.00
TiktokenSharpV1_0_9_Encode	Encode	Hello, World!	300.4 ns	299.4 ns	0.67	0.0505	-	-	320 B	1.25
TokenizerLibV1_3_3_Encode	Encode	Hello, World!	504.7 ns	498.5 ns	1.15	0.2356	0.0010	-	1480 B	5.78
Tiktoken_Encode	Encode	Hello, World!	262.4 ns	262.6 ns	0.58	0.1030	-	-	648 B	2.53
SharpTokenV2_0_1_Encode	Encode	King(...)edy. [275]	6,784.3 ns	6,714.1 ns	1.00	0.0763	-	-	520 B	1.00
TiktokenSharpV1_0_9_Encode	Encode	King(...)edy. [275]	4,691.2 ns	4,690.7 ns	0.69	0.8011	-	-	5064 B	9.74
TokenizerLibV1_3_3_Encode	Encode	King(...)edy. [275]	7,287.9 ns	7,290.9 ns	1.08	3.0823	0.1373	-	19344 B	37.20
Tiktoken_Encode	Encode	King(...)edy. [275]	3,606.2 ns	3,607.4 ns	0.53	0.7973	-	-	5024 B	9.66

Support

Priority place for bugs: https://github.com/tryAGI/LangChain/issues
Priority place for ideas and general questions: https://github.com/tryAGI/LangChain/discussions
Discord: https://discord.gg/Ca2xhfBf3v