AI SDK
Application-facing primitives for generating text, streaming, tool use, and provider integration.
// Vercel AI SDK integration
Give AI SDK apps a runtime that learns.
Keep the application patterns your team already uses. Route supported model traffic through Punk to measure production work, preserve fallback, and discover which repeated requests deserve deeper testing.
Punk is independent of Vercel. Vercel and AI SDK are trademarks or products of their respective owner.
// division of labor
Build the app. Adapt the execution.
Punk
Observed execution, policy context, pattern learning, evidence-gated routes, live fallback, and explanations.
Your application
Owns user experience, tool implementation, outcome signals, permissions, and the final definition of acceptable behavior.
// adoption path
Instrument model traffic before agent behavior.
Connect a supported provider path
Follow the current Punk guide for your AI SDK version and chosen provider.
Send explicit workload identity
Keep apps and tenants scoped so traces, caches, and learned routes cannot blur across boundaries.
Verify streaming and tools
Exercise the features your application relies on and compare behavior before expanding traffic.
Add outcomes deliberately
Pass relevant feedback or task results when available; model completion alone does not prove task success.
Limitations: framework and provider APIs evolve. Confirm the current integration guide, supported features, and error semantics. A model endpoint connection does not automatically capture client UI state or every server-side tool action.
Start where your AI SDK app repeats.
Choose one measurable path, observe it, and let evidence determine whether any route should change.