Adapter Layer Pattern Unifies TypeScript AI Agent Observability Across Frameworks

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TypeScript teams often use multiple AI frameworks — such as Vercel AI SDK, LangChain.js, and OpenAI Agents SDK — each exposing different telemetry and callback surfaces. This fragmentation makes observability costly when dashboards, CI pipelines, and test rules must independently understand each framework. A proposed adapter layer addresses this by translating framework-specific events into a single versioned trace model, allowing all downstream consumers to operate on normalized data. The shared trace model deliberately excludes raw prompts and tool arguments, relying instead on a separate capture policy to approve payload fields. Adapter capability declarations further help consumers distinguish genuine gaps in activity from limitations in what a given framework can observe.

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