Why your AI API gateway should be a control plane, not just a proxy

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Switching to a cheaper AI API by simply changing a base URL is a useful first step, but falls short for production environments with real users. Without request-level visibility — covering model IDs, token counts, costs, latency, and retry behavior — teams often optimize the wrong variables while hidden expenses accumulate. Common incidents like authentication failures, rate limits, and silent retries become harder to debug when logs are scattered across vendor dashboards and application code. A true AI API control plane centralizes this operational data, enabling engineers to trace issues quickly without touching application code. Using project-scoped API keys further improves security and analytics by creating clean boundaries across apps, environments, and customer segments.

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