How does this skill handle API rate limits?

It uses a round-robin rotation strategy across multiple API keys, automatically switching to the next healthy key when a 429 Rate Limit error or circuit breaker trigger is detected.

What happens if all my API keys fail?

The skill implements a health-tracking system with a cooldown period. If all keys are temporarily marked unhealthy, it can be configured to retry with the oldest failure or queue requests until a key recovers.

Does it support asynchronous requests?

Absolutely. It includes production-ready patterns for concurrent request processing using Python's asyncio and semaphores to maintain optimal parallelism without overwhelming the API.

Can I use different providers like AWS Bedrock or GCP Vertex?

Yes, the skill supports OpenRouter’s provider routing, allowing you to define fallback orders to ensure your application remains functional even if a specific provider is down.

OpenRouter Load Balancing

Name: OpenRouter Load Balancing
Author: jeremylongshore

byjeremylongshore

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1,887

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Infraestructura en la Nube

Distributes API requests across multiple OpenRouter keys and providers to maximize throughput and ensure high availability.

This skill enables developers to scale their AI-driven applications beyond the rate limits of a single OpenRouter API key by implementing robust orchestration patterns. It features multi-key round-robin rotation, intelligent health tracking, and circuit breaker logic to prevent downtime and optimize token throughput. Additionally, it leverages OpenRouter’s server-side provider routing and Nitro variants to minimize latency and provide automated fallbacks across diverse inference providers like Anthropic, AWS Bedrock, and GCP Vertex, making it ideal for production-grade AI agents.

Características Principales

01Multi-key round-robin rotation with automated health tracking

02Concurrent request processing using asyncio semaphores

03Provider-level load balancing for cross-platform resilience

04Circuit breaker logic to isolate and recover failing API keys

051,887 GitHub stars

06Real-time rate limit monitoring and credit usage tracking

Casos de Uso

01Building high-availability systems with automatic failover between model providers

02Scaling enterprise AI agents that exceed standard per-key rate limits

03Orchestrating bulk batch processing tasks with high concurrency requirements

Características Principales

01Multi-key round-robin rotation with automated health tracking

02Concurrent request processing using asyncio semaphores

03Provider-level load balancing for cross-platform resilience

04Circuit breaker logic to isolate and recover failing API keys

051,887 GitHub stars

06Real-time rate limit monitoring and credit usage tracking

Casos de Uso

01Building high-availability systems with automatic failover between model providers

02Scaling enterprise AI agents that exceed standard per-key rate limits

03Orchestrating bulk batch processing tasks with high concurrency requirements