API Rate Limiting
Control outbound calls to third-party APIs from all of your workers and services in one place, instead of letting each caller guess when capacity is available.
RateQueue is a fully managed API for queueing and rate limiting your outbound work across distributed systems, with limits, priorities, reserved capacity, and real-time feedback.
import ratequeue.aio as rq async with rq.acquire( "claude-sonnet-4-6", load=20_000, priority=10, api_key=RATEQUEUE_API_KEY): await llm_call()API rate limiting, LLM quota management, traffic throttling, distributed locking, request prioritization, and reserved capacity for shared outbound work.
Control outbound calls to third-party APIs from all of your workers and services in one place, instead of letting each caller guess when capacity is available.
Coordinate request, token, and concurrency budgets for shared LLM providers without routing traffic through an external gateway or rewriting your existing integration.
Spread bursty traffic over time so downstream systems receive predictable throughput instead of spikes, retries, and noisy failure cascades.
Treat a capacity-1 resource as a managed lock so only one actor can work on a shared dependency at a time, with queueing instead of race conditions.
Serve urgent traffic before background work when all requests cannot be treated equally, so interactive or revenue-critical flows stay ahead of batch jobs.
Hold part of a resource back for specific traffic classes so critical work is always protected even when lower-priority traffic is busy consuming the general pool.
Distributed queueing, outbound API rate limiting, concurrency control, prioritization, SDK integration, and real-time resource management in one managed control plane.
Requests wait for safe execution instead of racing each other or failing into retries.
Use fixed or sliding windows to enforce exactly how fast a resource can be consumed.
Cap how many requests can be active at once across your whole distributed system.
Combine several rules on the same resource instead of forcing a single simplistic limit.
Count each request equally or use real request load like tokens, payload size, or work units.
Give critical traffic faster access when not all work has the same importance.
Protect part of a resource for important traffic classes so they are not crowded out.
Separate traffic classes so one service or workload cannot clog the entire queue.
Choose strict allocation or strict-per-lane allocation depending on how you want fairness enforced.
Poll for state or switch to real-time activation feedback when you need immediate updates.
Run resources close to the workloads that need them and choose where capacity should live.
Built as managed infrastructure so the control plane remains reliable under real production traffic.
Update limits, capacity, reservations, and routing behavior without redeploying application logic.
Use SDKs when you want the cleanest integration, or call the raw API directly when you need full control.
Create resources, inspect queue state, and monitor active requests from a dedicated dashboard.
Throttle bursty traffic with granular windows when you need smoother request pacing than per-minute limits allow.
Free and paid pricing for managed queueing, outbound API rate limiting, concurrency control, and protected capacity across shared resources.
Free
For getting started with one real resource and a simple production flow.
Paid
For teams coordinating more resources, more limits, and more important traffic classes.
Create a resource, get an API key, and start controlling shared outbound traffic without building your own coordination layer.