Curating Always-Loaded Context for LLM Agents: A Capacitated Assortment Model with Censored Feedback

At the start of every session, LLM agents load a fixed context file, such as $\texttt{AGENTS.md}$. Each loaded token in the file is charged again in every later round of the session, and these files can degrade performance as they grow in size.