Rate Limits

The NOMYO API (api.nomyo.ai) enforces rate limits to ensure fair usage and service stability for all users.

Default Rate Limit

By default, each API key is limited to 1 requests per second.

Burst Allowance

Short bursts above the default limit are permitted. You may send up to 2 requests per second in burst mode, provided you have not exceeded burst usage within the current 10-second window.

Burst capacity is granted twice per 10-second window. If you consume the burst allowance, you must wait for the window to reset before burst is available again.

Rate Limit Summary

Mode	Limit	Condition
Default	1 requests/second	Always active
Burst	2 requests/second	Twice per 10-second window

Error Responses

429 Too Many Requests

Returned when your request rate exceeds the allowed limit.

HTTP/1.1 429 Too Many Requests

What to do: Back off and retry after a short delay. Implement exponential backoff in your client to avoid repeated limit hits.

503 Service Unavailable (Cool-down)

Returned when burst limits are abused repeatedly. A 30-minute cool-down is applied to the offending API key.

HTTP/1.1 503 Service Unavailable

What to do: Wait 30 minutes before retrying. Review your request patterns to ensure you stay within the permitted limits.

Best Practices

Throttle your requests client-side to stay at ~1 requests/second under normal load.
Use burst sparingly — it is intended for occasional spikes, not sustained high-throughput usage.
Implement exponential backoff when you receive a 429 response. Start with a short delay (e.g. 500 ms) and double it on each subsequent failure, up to a reasonable maximum.
Monitor for 503 responses — repeated occurrences indicate that your usage pattern is triggering the abuse threshold. Refactor your request logic before the cool-down expires.

Example: Exponential Backoff

import asyncio
import httpx

async def request_with_backoff(client, *args, max_retries=5, **kwargs):
    delay = 0.5
    for attempt in range(max_retries):
        response = await client.create(*args, **kwargs)
        if response.status_code == 429:
            await asyncio.sleep(delay)
            delay = min(delay * 2, 30)
            continue
        return response
    raise RuntimeError("Rate limit exceeded after maximum retries")