API Rate Limiting
Mechanisms that limit the number of API requests per time unit – critical for AI API costs and system stability.
Essential for AI budget control: Prevent cost explosions during viral campaigns. Prioritize important requests. Schedule batch jobs outside peak times.
Explanation
Rate limiting can be server-side (provider limits) or client-side (own throttling logic). Metrics: RPM (Requests per Minute), TPM (Tokens per Minute), RPD (per Day). Strategies: Token Bucket, Sliding Window, Exponential Backoff on 429 errors.
Marketing Relevance
Essential for AI budget control: Prevent cost explosions during viral campaigns. Prioritize important requests. Schedule batch jobs outside peak times. Track usage per team/campaign.
Example
A marketing automation tool implements client-side rate limiting: Max 100 GPT-4 requests per minute, queue for overflow, automatic retry with backoff on 429 responses.
Common Pitfalls
Underestimated burst patterns. Forgotten retry handling. No visibility into consumed quotas. Batch jobs can block real-time features.
Origin & History
API Rate Limiting is an established concept in the field of Technology. The concept has evolved alongside the growing importance of AI and data-driven methods.