Rate limiting and quotas control how often users or applications can access a large language model (LLM) within a set timeframe. They prevent excessive or abusive usage by setting limits on the number of requests or tokens processed, ensuring fair and predictable resource allocation.
Systems track each user’s request count or token consumption against predefined thresholds. When limits are reached, requests are temporarily blocked or delayed until the quota resets. These controls can be applied per user, API key, or organization, enforcing usage policies dynamically.
For product managers, rate limiting ensures consistent service performance, prevents overloading that causes latency, and controls operational costs by curbing excessive requests. It supports scalability by managing demand, protects business revenue, and enhances user experience through reliable API availability.