Request limits and retries

Check the selected model and the current platform limit before sending a request.

A model's advertised context window can exceed the amount currently accepted by Rynler. Use the limit shown in the model catalogue and reduce input or maximum output when the API reports TOKEN_LIMIT.

If the API reports a rate limit, reduce concurrency and retry later. If a request has an uncertain outcome, inspect its status in your workspace before sending new work with a new idempotency key. The current response format and error handling are described in the API reference.

Usage is prepaid. Review pricing and reservations before production traffic.