ngrok AI Gateway

great te see infrastructure tools that make AI deployment more reliable instead of more complicated.

Yeah, this feels genuinely useful. One gateway for every model saves a lot of unnecessary pain.

Really like the idea of simplifying multi-model AI infrastructure. The unified gateway and failover features look incredibly practical. Congrats on the launch!

I've had so many requests to build this exact solution in house and rejections keep coming back. Most teams can't afford to build/manage these things. Great job solving this problem!

Managing multiple AI providers is a real challenge, and this looks like a clean way to solve it. Wishing you a successful launch! 🚀

Hello Niji, congratulations on the launch. I like that you are making it easier to switch between different AI providers without rewriting everything. That sounds like it could save me a lot of effort as projcts grow.

the fallback is the feature i would think hardest about, because for anything that produces text a fallback is a silent quality change.if a code call falls back you find out, something breaks or the tests go red. if a customer facing reply falls back to a weaker model, nothing breaks. the reply still reads fine, it is just slightly worse, and you find out from a complaint two days later while looking at the wrong model in your logs. the gateway is the only component that knows which model actually answered, so i would want that on the response itself rather than only in a dashboard.the other one is retries. a fallback triggered by a timeout is not the same as one triggered by an error, because on a timeout the first call may well have completed on the provider side. harmless for a plain completion, not harmless once a tool call is attached to it, which is most agent traffic now. does the gateway treat timeouts as retryable by default, and is there a way to mark a request as do not retry?

I've learned that infrastructure decisions matter more as products scale. This looks designed with long-term maintainability in mind.

I've been looking for a better way to experiment across OpenAI and Anthropic without constantly rewriting integrations. This feels like it could make testing significantly faster.

Many companies struggle with switching models during outages. The built-in fallbacks seem useful, especially if users can define custom failover rules.

I like that security seems to be part of the design instead of an afterthought. Keeping private models protected while using public ones is a smart balance.

THe build in fallback feature sounds reassuring. It's alwaus nice to have something that keeps things running if one provider has issues. 👌

I'm curious how smooth the setup is for someone already using multiple AI providers. Is migration pretty straightforward?

I keep wondering about pricing at scale. One gateway is great in theory but does routing overhead add noticeable latency once you're pushing serious volume through it?

What I appreciate is that this isn't just about hosted providers. I've worked on internal tools where the model had to stay inside our network for compliance reasons and every gateway I tried assumed everything sat behind a public API.