⚡️Never Get Stuck Again: Meet Frosty AI’s Failover Provider Feature

Frosty AIFrosty AI
2 min read

Downtime is more than an inconvenience—it’s lost productivity, broken customer experiences, and unnecessary stress. When it comes to working with large language models (LLMs), a failed call or outage can grind your application to a halt.

That’s why we built Failover Providers into Frosty AI’s router. 🎯

What It Does 🛠️

Frosty lets you choose a primary and a failover model for any router you create. If the primary provider is unavailable or returns an error (timeout, quota exceeded, etc.), Frosty will automatically retry the request with your designated failover provider. ⚙️

There’s no need to change your code or scramble to troubleshoot mid-incident. ❌🧑‍💻
It just works.


Why It Matters 💡

Whether you're building internal tools, shipping user-facing features, or scaling AI infrastructure across your org, reliability is non-negotiable.

With Frosty’s failover support:

  • ✅ You avoid service disruptions

  • 🚨 You reduce risk in production

  • 🧘‍♀️ You keep your team focused on building, not firefighting

It’s one of the easiest ways to build resilience into your AI-powered workflows.

Real Flexibility, Real Control 🔄

Frosty isn’t about locking you into a single model or vendor.
We believe you should always be able to choose:

  • 🪙 A model that’s more affordable

  • 🧠 A model that performs better

  • 🔄 A backup that saves the day when things go wrong

Our router gives you flexibility and control, without adding complexity.


Coming Soon: Even More Smart Routing 🤖

Failover is just the beginning.
Frosty also supports routing based on cost and performance.

Stay tuned for more on our hybrid routing engine and how it can help you scale smarter.


Want to try it out? Sign up for free and spin up your first router in minutes.
Let your models fail (safely). We'll take care of the rest. 😉

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Written by

Frosty AI
Frosty AI

Frosty AI is an LLM-agnostic platform that enables seamless AI development at every stage—build, deploy, manage, and optimize AI solutions across multiple models, with built-in observability and analytics.