Rate Limiting

Description:

Redis-backed rate limiting with in-memory fallback. Protects the platform from abuse and ensures fair usage.

Problem it solves:

Without rate limiting, a single user or bot could overwhelm the system, affecting all users.

Key features:

• Redis-backed distributed limiting

• In-memory fallback for resilience

• Configurable limits per endpoint

• Graceful degradation