LLM routing architectures like routers, cascades, and mixtures have distinct failure modes that are often overlooked when focusing solely on average cost and quality. Routers can silently produce incorrect answers by misclassifying difficult queries as easy, leading to unmonitored quality degradation. Cascades, while more transparent by escalating uncertain responses, introduce latency as a visible failure indicator. Mixtures, which combine outputs from multiple models, incur a consistent worst-case cost on every request. The choice between these patterns hinges on which type of failure—silent, slow, or expensive—a system can tolerate. AI
IMPACT Understanding LLM architecture failure modes is crucial for building robust and reliable AI systems.
RANK_REASON Analysis of LLM architecture patterns and their failure modes.
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