TypeScript teams rarely standardize on one AI framework forever. One service may use Vercel AI SDK, another LangChain.js, another OpenAI Agents SDK, and a mature system may call provider clients directly.
Those implementations expose different callback, telemetry, and streaming surfaces. Observability becomes expensive when every dashboard, test rule, and CI report understands each framework independently.
An adapter layer isolates that variation. Framework-specific code captures source events; the adapter translates them into one versioned trace model; the rest of the system operates on normalized events.
framework callbacks or wrappers
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