How do you handle rate limits in an AI system?medium
Answer
Use queues, backoff, caching, request shaping, fallback models, and clear user-facing degradation.
Explanation
AI systems often depend on external model APIs with quota and latency limits. Good design avoids cascading failures and keeps critical paths responsive.
Follow-upWhat requests are good candidates for caching?