We Tried Building an In-House AI Routing Layer - It Blew Up at $500/Month Per Engineer
The Jira ticket read: "Quick Nginx proxy for centralized OpenAI keys." It looked like an easy Friday afternoon win to reign in our sudden explosion of API token spend.
Four months later, three of our best platform engineers were trapped in a hell of token-parsing loops, multi-region failovers, and broken streaming connections while our actual core product roadmap ground to a total halt.
Every engineering organization hits this exact crossroad when distributed API token spend begins spiking across internal teams. The instinct is to protect the perimeter and build something yourself. Platform architects want exact control over how requests are tokenized, how keys are distributed, and how internal telemetry routes to existing Prometheus or Datadog stacks. The idea of adopting a third-party black box that sits directly in your data path feels like a compromise on core architecture.
But developer confidence frequently turns into an infrastructure liability when deployment usage...
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