AI API Rate Limits Explained for Developers
Rate limits protect public APIs from overload and help providers distribute capacity. Understanding them is essential when moving from a manual prototype to an automated application.
Common limits
Providers may limit requests per minute, tokens per minute, concurrent jobs, daily usage, or total monthly consumption. Different endpoints can have different limits.
HTTP 429
A 429 response commonly means the client has exceeded a rate limit. The correct response is usually to slow down rather than immediately send the same request again.
Exponential backoff
For transient failures, retries can use progressively longer delays. Add a maximum retry count and respect any Retry-After information provided by the server.
Design for bursts
Queue work when possible. A small worker queue can smooth traffic and prevent dozens of simultaneous requests from hitting the API at once.
Explore more CVRON resources
Browse the CVRON API HUB to discover developer-oriented AI APIs and integration options.