Tackling Rate Limits in Production LLM Applications

Rate limits are the #1 cause of production LLM failures . OpenAI enforces 10,000 RPM on Tier 2. Anthropic caps you at 50 RPM on the free tier. Without proper handling, a single traffic spike can trigger cascading 429s, broken user flows, and pager fatigue. This guide covers 9 battle‑tested strategies to eliminate rate limit failures in production, using Bifrost (open source LLM gateway) as a reference. All of this is config, not app rewrites. maximhq / bifrost Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS. Bifrost AI Gateway The fastest way to build AI applications that never go down Bifrost is a high-performance AI gateway that unifies access to 15+ providers (OpenAI, Anthropic, AWS Bedrock, Google Vertex, and more) through a single OpenAI-compatible API. Deploy in seconds with zero configuration and get automatic failover, load balancing, semantic caching, and enterprise