Problem
Users have no visibility into which context files consume the most tokens. Large monolithic files silently inflate LLM costs without the user knowing which files are the culprits.
Expected behavior
- The recommendation bot analyzes token cost per context file
- Flags the most expensive files with their estimated token count / cost contribution
- Suggests modularization when a file is disproportionately large (e.g. "this file uses 40% of your context budget - consider splitting it into smaller focused files")
- Surfaces these recommendations alongside existing context quality suggestions
Problem
Users have no visibility into which context files consume the most tokens. Large monolithic files silently inflate LLM costs without the user knowing which files are the culprits.
Expected behavior