ngrok AI Gateway

One private gateway for every AI model

Software Engineering

Developer Tools

Artificial Intelligence

Visit WebsiteSee on Product HuntTwitter ⧉

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.

The support for both cloud and self hosted models really caught my attention. That flexibilty feels valuable as projets grow.

I can definitely see this being for teams experimenting with different models. Have one plaace to manage everything sounds much easier. 👍

What strikes me most is the self-hosted piece. I've run models on my own infrastructure before and connecting them through it's network instead of exposing a public endpoint solves a real security headache I've dealt with firsthand. That alone makes this worth testing on my end.

The option to connect self-hosted models without exposing them to the public internet caught my attention. Have you seen more teams using their own models recently, or are most customers still relying mainly on hosted providers?

I like that you can start with your own provider keys and still get a single place to track usage, latency, and costs. Jumping between multiple dashboards gets old fast, so having that consolidated is a practical improvement.

How does ngrok AI Gateway help developers handle these issues compared to building their own layer? congrats team!

Managing different AI providers can get messy pretty quickly. A single endpoint with build in routing makes a lot of sense.