William Zeng introduces a file cache Python module developed by Sweep, an agent engineering team, to save time debugging slow LLM calls. This file cache, different from Python’s lru_cache, stores values on disk rather than in memory for persistence between runs. The cache supports ignoring certain parameters for accurate caching and utilizes recursive_hash to hash objects effectively. By addressing the need to invalidate cached results based on argument changes or code modifications, the file cache optimizes debugging processes, offering significant time savings. You can access the file cache module on Sweep’s GitHub page for implementation and feedback.
https://docs.sweep.dev/blogs/file-cache