Solution
Multi-model routing
Build on more than one model provider without wiring up separate SDKs, retry logic, and credential management for each one. Route every request through a single endpoint, and let Aniron handle failover when a provider is slow, rate-limited, or down.
The problem
You picked a model provider a year ago and built your product around its SDK. Now that provider has a regional outage during your peak traffic hour, and every request your product makes fails at once. There is no fallback because there was only ever one path.
Or: you want to use a frontier model for complex reasoning tasks and a cheaper, faster model for simple ones, but that means maintaining two separate client integrations, two sets of credentials, and two different error-handling paths in your codebase.
Or: a provider changes its rate limits without warning, and your application starts throwing 429s in production with no automatic way to route around it.
A single point of failure in your model layer is a single point of failure in your product.
How Aniron solves it
One endpoint, every provider
Connect Anthropic, OpenAI, and open-weight model hosts once. Every request goes to the same Aniron endpoint regardless of which model actually serves it.
Automatic fallback
Name a primary model and a fallback list. If the primary errors, times out, or gets rate-limited, Aniron retries the same request against the next model in line.
Consistent request format
Write your prompts once in an OpenAI-style chat format. Aniron translates to each provider's native API, so switching models does not mean rewriting your integration.
Automatic fallback on failure
// One request format, routed to whichever provider you name
POST /v1/chat/completions
{
"model": "claude-sonnet-4",
"fallback_models": ["gpt-4o", "llama-3.1-70b"],
"messages": [{ "role": "user", "content": "..." }]
}
// If claude-sonnet-4 errors or rate-limits, Aniron retries
// against gpt-4o automatically. Your client never sees the failure.One request format and one set of credentials cover every connected provider.
Fallback happens inside the request lifecycle, before your application sees an error.
Who this is for
Platform teams supporting many products
Different internal teams want different models for different tasks. One gateway lets you offer a menu of models without every team building its own provider integration.
Products that cannot tolerate an outage
Customer-facing AI features that need to stay up even when a single provider does not. Fallback routing turns a provider outage into a brief latency blip instead of a full outage.
Teams optimizing cost and quality per task
Send simple classification tasks to a cheap, fast model and complex reasoning tasks to a frontier model, without maintaining separate integrations for each.
Teams avoiding provider lock-in
Swap the underlying model in a routing rule instead of a code deploy. Renegotiate provider contracts or adopt a new frontier model without touching application code.
Frequently asked questions
Do I need separate API keys for each provider?
No. You connect provider credentials once in the Aniron dashboard, and every key you issue can call any connected provider. Your application code only ever talks to the Aniron endpoint.
What happens when a provider has an outage?
Requests to the primary model fail over to the next model in your fallback_models list, using the same prompt and message history. The response includes which model actually served the request.
Can I route based on cost or latency instead of a fixed fallback order?
Yes. You can configure routing rules that prefer the cheapest model that meets a quality threshold, or the fastest model under a latency budget, in addition to a static fallback order.
Does switching providers change my prompt format?
No. Aniron translates the OpenAI-style chat completion format to each provider's native API. You write one prompt structure and it works across Anthropic, OpenAI, and open-weight model hosts.
Route around your next provider outage
Connect a fallback model in minutes and stop shipping single-provider risk to production.