• LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
• context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
• AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
• context compaction — Summarizing an agent's earlier conversation to free room in the context window so a long session can keep going.

A diffusion LLM fast enough to replace supporting model calls (context compaction, tool-search, routing) in agent pipelines, cutting latency and cost where response speed, not raw capability, is the bottleneck.

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