Rate Limits · Docs

Kurrens applies per-key limits on requests per minute and tokens per minute. Limits depend on your account and the model. Contact sales for higher limits or a dedicated endpoint.

We fail fast instead of queueing

When a model is at capacity in its primary region, the request moves to the next region instead of waiting in a queue. If no region has capacity — or you’re over your own limit — Kurrens returns 429 Too Many Requests immediately. That keeps latency predictable and lets your client retry or fall back right away.

Handling 429

Retry with exponential backoff and jitter, starting around one second.
Respect the Retry-After header when present.
Spread large jobs over time instead of sending bursts.

import random, time
from openai import OpenAI, RateLimitError

client = OpenAI(base_url="https://api.kurrens.ai/v1")

def complete(messages, attempts=5):
    for attempt in range(attempts):
        try:
            return client.chat.completions.create(model="deepseek-ai/DeepSeek-V4.1-Flash", messages=messages)
        except RateLimitError:
            time.sleep(min(30, 2 ** attempt) + random.random())
    raise RuntimeError("rate limited")

The OpenAI SDKs also retry 429 responses automatically (max_retries).