OpenEvidence Rate Limiting
Manages API throughput and error handling for OpenEvidence clinical queries using advanced backoff and priority queuing.
The OpenEvidence Rate Limiting skill provides a robust framework for handling API quotas and 429 errors within clinical environments. It implements production-grade patterns such as exponential backoff with jitter, real-time rate limit header monitoring, and a unique clinical priority-based queuing system (STAT, Urgent, Routine, Research). This ensures that critical medical queries are prioritized and processed reliably while maintaining optimal throughput and staying within subscription tier limits.
Características Principales
01Real-time monitoring of X-RateLimit and X-DeepConsult headers
02Exponential backoff with jitter for automatic 429 error recovery
03Adaptive throttling to maintain safety margins under heavy load
04Pre-configured rate limit tiers for Standard to Enterprise plans
051,538 GitHub stars
06Priority-based clinical request queuing (STAT/Urgent/Routine)
Casos de Uso
01Optimizing DeepConsult quota usage for high-value medical research tasks
02Managing concurrent clinical queries across different urgency levels in hospital integrations
03Building medical decision support systems that require 99.9% API reliability