token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
chain-of-thought — Having a model write out intermediate reasoning steps before its answer, which markedly improves performance on hard problems.
tool use — A model's ability to call external functions — run code, search the web, edit files — instead of only generating text.
Why it matters
Apache-2.0 reasoning models at 3B/8B/30B with a thinking switch, low-effort mode and native tool useA model's ability to call external functions — run code, search the web, edit files — instead of only generating text.Full definition →, plus a documented account of how the agentic RL stage was actually run.
