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Vercel introduces Virtual Models on AI Gateway for AI apps

Vercel released Virtual Models on AI Gateway to let developers manage model strings and fallbacks centrally.

Vercel introduces Virtual Models on AI Gateway for AI apps — image from Vercel
Image: Vercel

Summary

Vercel introduced Virtual Models on AI Gateway to provide an abstraction layer for model configurations. Developers can assign a single virtual model ID to agent tasks and update models or fallback rules centrally. Apps and agents pick up new configurations automatically without requiring code redeployments.

What changed

  • Assign a virtual model ID to tasks and pass it as the model string
  • Change underlying models and settings in AI Gateway without code changes
  • Configure central settings such as fallbacks, priority, and Zero Data Retention
  • Govern which models teams use and enforce settings over request parameters

Availability

Available now

“Today, we are introducing Virtual Models on AI Gateway .”

Founder takeaway

Small teams can use Vercel Virtual Models to decouple model selection from application code, allowing faster model switching and central fallback management without redeploying.

Source

VercelIntroducing Virtual Models on AI Gateway

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