Plan, implement, and monitor token budgets for LLM-based applications. Covers three areas — context budgets (fitting content into context windows), cost budgets (tracking spend per user/service/month), and quota/rate budgets (rate limiting LLM calls). Use this skill whenever the user mentions token budgets, token limits, LLM costs, context window management, token tracking, API budgets, rate limiting for LLMs, token usage monitoring, or wants to control how much context is sent to an LLM. Also trigger when the user is building a ChatModelListener, token counter, or usage tracker for LangChain4j/Quarkus.