Description
Limits how often actions can happen in Python applications using a leaky-bucket algorithm. It helps services and scripts control API calls, background jobs, user actions, or other repeated operations.
Rate limiting protects systems only when keys and limits match the real abuse or capacity problem. Test boundary behavior and failure responses before relying on it.