ttok 0.4

Simon Willison has released version 0.4 of ttok, a command‑line tool that counts tokens in text using OpenAI’s open‑source tiktoken library. After years of inactivity, the new release fixes a Click warning, improves continuous‑integration support, and adds a —list‑models option that lets users query which language models are supported. The tool can be run via uvx, making it easy to integrate into typical workflows; for example, you can pipe a text file into ttok to get a token count with a single command. This capability is valuable for developers and analysts who need to estimate token usage before sending requests to language models, helping to control costs and avoid length‑limit errors. The update also strengthens the project’s reliability by keeping it aligned with the latest dependency versions. In an environment where tokenization is a critical step for generating and processing AI text, having a lightweight, up‑to‑date tool like ttok enables more efficient resource management and smoother integration of OpenAI models into practical applications.

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