Batching and Caching

What problem does it solve?

Batching and caching helps reduce redundant API calls by batching requests together and caching results to avoid repeated work, addressing the N+1 query problem.

Core Features & Use Cases

• Batching: group multiple requests into a single API call for efficiency.
• Caching: memoize results to prevent repeated work across identical requests.
• Deduplication: automatically deduplicate concurrent identical requests to minimize load.
• Use Case: In a web app that fetches user profiles for many items, batch requests for multiple IDs into a single batch call and reuse results via cache.

Quick Start

Use the batching and caching skill to combine multiple related requests into a single batch operation and cache the results, for example by implementing a batched resolver that fetches users by IDs and stores results in a cache for subsequent lookups.