LLM Request Routing Strategies for Production-Grade AI Platforms
_jaydeepkarale · x · 2026-07-03
In real-world production environments, AI requests are routed through a specialized layer rather than sent directly to a single model. Major AI platforms evaluate multiple dimensions—such as cost, latency, capability matching, cache hit rate, and model health—to distribute each request, acting essentially as a load balancer for LLMs. Common routing strategies include Round Robin (distributing requests evenly across homogeneous instances) and Least Loaded (prioritizing instances with the fewest active requests or lowest load to boost throughput). These mechanisms directly impact system performance and operational costs in engineering practice.
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