Agent Context Budget Auditor

Audits an LLM agent's context usage (system prompt, tool definitions, retrieved docs, conversation history, scratchpads) and produces a context engineering plan — token budget allocation, compaction strategy, retrieval discipline, context-rot risk mitigation, and per-turn measurement plan — turning vague 'my agent feels slow / expensive / dumb after turn 20' complaints into a quantified fix list