We Built a Unified API Gateway for AI Agents — Lessons Learned

We've been building an AI API gateway that supports Claude, GPT, Codex, Gemini, and other models through a single OpenAI-compatible endpoint. One thing we've learned is that many developers building AI agents, coding assistants, and SaaS products spend more time managing multiple providers, billing systems, and integrations than actually building their products. To simplify deployment, we focused on: • OpenAI-compatible integration • Unified billing across providers • Pay-as-you-go pricing (no subscriptions) • Access to multiple leading models through one API • Higher flexibility for agent workflows and large-scale inference workloads For teams working on AI agents, coding assistants, model distillation, or high-volume production workloads: How are you currently managing multiple model providers? Are you using a gateway layer or integrating each provider separately? What's been your biggest operational challenge? I'd love to hear how others are solving this problem. (Website link in comments if anyone is interested.)