Aurora Gateway is the intelligent AI gateway layer your backend deserves. Not just a proxy — a full AI gateway. Both OSS (Apache 2.0) and Enterprise editions. Your apps use one API; Aurora handles routing, load balancing, failover, caching & guardrails across 30+ providers. Self-hosted, no vendor lock-in. 55x faster than LiteLLM.

What could you build with GPT-5.6 that wasn’t practical before?

Using GPT-5.6 in production without breaking the bank. GPT-5.6 alone is powerful but expensive. Aurora makes it practical by routing only complex tasks to GPT-5.6, handling failover when it hits rate limits, caching semantically similar queries, and giving you one API to swap or combine providers — so you use GPT-5.6 where it matters and cheaper models everywhere else.

Hey PH! I'm Gurveer, founder of Aurora Gateway. Most developers building AI apps don't realize they need a gateway layer. They hardcode API keys, juggle provider SDKs, write their own failover logic — reinventing the wheel in every project. I built Aurora so you don't have to. What makes Aurora different: - It's a full gateway, not just a proxy — routing, load balancing, failover, caching, guardrails & cost tracking in one binary - OSS edition is production-ready — auto-discovery, provider pools, semantic caching, guardrails, audit logging, all under Apache 2.0 - Enterprise adds SSO, RBAC & tenant isolation when you scale - Built in Go for raw speed — 55x faster than LiteLLM. - One API for 30+ providers — OpenAI, Anthropic, Gemini, Groq, DeepSeek, Ollama, vLLM, and more. OSS: npm install -g iaurora — Apache 2.0, self-hosted, single binary + docker. Happy to answer any questions about the architecture, benchmarks, or roadmap!

What could you build with GPT-5.6 that wasn’t practical before?

Aurora Gateway

The Fastest LLM gateway — an intelligent layer

The Fastest LLM gateway — an intelligent layer