WatchLLM

WatchLLM is a caching layer for large language model API calls that reduces costs by storing and reusing responses to identical or similar queries. Instead of sending every request to your LLM provider, WatchLLM intercepts calls and checks whether you've already paid for that computation. If a matching result exists in the cache, it returns it instantly without hitting the API, cutting typical costs by 40-70% depending on your usage patterns. The tool works best for teams running repeated queries, batch processing, or applications with predictable user questions. It integrates with popular LLM providers and sits between your application and the API endpoint. WatchLLM handles the caching logic transparently, so you don't need to restructure existing code significantly.