agent harness — The scaffolding around a model that turns it into a working agent — the loop, the tools it can call, and the rules for when to stop.
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
context compaction — Summarizing an agent's earlier conversation to free room in the context window so a long session can keep going.
benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
Why it matters
context compactionSummarizing an agent's earlier conversation to free room in the context window so a long session can keep going.Full definition → and multi-context windowThe maximum amount of text a model can consider at once — its working memory for the current conversation or task.Full definition →-window reasoning moved a benchmarkA standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.Full definition → score without touching the model, which is evidence that agent harnessThe scaffolding around a model that turns it into a working agent — the loop, the tools it can call, and the rules for when to stop.Full definition → design is a first-class performance variable and a caution when comparing scores across harnesses.
