Evaluation RuleDecision layer

AI Infrastructure Rule: Route Through a Gateway Before You Sign a Second Model Contract

Should an agency add a second or third model provider directly, or put a routing layer in front of the providers it already uses? Put a gateway or router between your application and every model provider before you sign a second direct contract, so provider swaps are a config change rather than a client-facing rebuild.

By InnovaAI ResearchPublished Updated

“Should an agency add a second or third model provider directly, or put a routing layer in front of the providers it already uses?”

Put a gateway or router between your application and every model provider before you sign a second direct contract, so provider swaps are a config change rather than a client-facing rebuild.

Common Mistake

Teams sign direct contracts with two providers and call that redundancy, then discover the application code, prompt formats, and billing dashboards are wired to each one separately, so the second provider is never actually used in production and the fallback path is untested when it matters.

Why This Works

Forrester's November 2026 research found that AI application vendors now set usage limits, control feature access, and arbitrate disputes over their own tools, which turns a routine pricing change into a delivery risk with no independent recourse. A routing layer absorbs that risk: gateways such as Helicone and Portkey proxy requests across providers with caching, rate limiting, and fallbacks, while OpenRouter and TrueFoundry expose many models behind one endpoint. The operational case is just as strong, since mixture-of-experts routing decisions inside models already drive latency and inference cost, and benchmarking shortlisted models on your own content types before committing is the only way to see that effect on a client retainer.

Apply When
  • •A client deliverable depends on one provider's API and a pricing or capability change would force a rebuild
  • •Two or more client accounts need different models for cost, latency, or data residency reasons
  • •Monthly inference spend on a single retainer has crossed the point where a 20 percent swing changes project margin
  • •The agency is scoping a pilot and has not yet decided which model family the production build will use