Why Multi-Model AI Needs Transparent Routing at the Gateway

Multi-model AI systems can optimize routes for cost, but most fail to explain why a specific model was chosen or what tradeoffs occurred. In production environments, teams need visibility into routing decisions to debug unexpected quality drops, cost overruns, and cache misses. The key insight from Topaz is that explainability must shift from opaque router optimization to the gateway layer—the only place with full system visibility needed for auditing, policy overrides, and operational accountability.