tiktoken

tiktoken is an open-source Python library released by OpenAI in 2022 that implements the BPE tokenizers used by GPT-2, GPT-3, GPT-3.5, GPT-4, GPT-4o, and the o-series reasoning models. The library provides three main encodings: r50k_base (GPT-3 and older), p50k_base (Codex, GPT-3 edit models), cl100k_base (GPT-3.5-turbo, GPT-4, text-embedding-3), and o200k_base (GPT-4o, o1, o3). tiktoken is written in Rust with Python bindings for speed, encoding text 3-6x faster than equivalent pure-Python implementations. The library is essential for accurate cost forecasting and rate-limit management because OpenAI APIs measure both context and pricing in cl100k_base or o200k_base tokens. AI governance teams use tiktoken in pre-flight checks before submitting requests, in budget enforcement layers, and in audit log enrichment to record actual token counts alongside request metadata. Many open-source tools including LangChain, LlamaIndex, and various RAG frameworks integrate tiktoken for OpenAI-compatible token accounting.

tiktoken accounting in Centralpoint: Centralpoint uses tiktoken and equivalent libraries to meter tokens accurately across every supported model — OpenAI, Claude, Gemini, Llama, embedded. The model-agnostic platform produces consistent per-skill cost reports, keeps prompts local, and embeds chatbots through one line of JavaScript on any portal.


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