[Ask AI 02] refactor: upgrade Ask AI to AI SDK 7

[raviships]

Change

• Upgrade AI SDK from v6 to v7 and update the React package to the matching major.
• Upgrade Langfuse tracing to v5 and register its AI SDK 7 integration.
• Start OpenTelemetry with NodeSDK from Next.js instrumentation.
• Replace the old system prompt, stop condition, telemetry, and response helpers with their AI SDK 7 APIs.
• Let the AI SDK create the root span. Remove the manual observe and updateActiveObservation lifecycle.
• Remove the unused OpenAI-compatible provider package.

AI SDK 7 replaces per-call experimental telemetry with registered integrations. Langfuse v5 replaces updateActiveTrace with propagated attributes.

Benchmark after the upgrade

The benchmark asked five documentation questions twice for each configuration. Quality is the percentage of question-specific checks passed. Cost uses estimated OpenAI token pricing.

Model	Complete answers	One provideLinks call	Quality	Median first event	Median total time	Estimated cost per request
GPT-4.1 mini	10/10	10/10	90%	1.13 s	10.36 s	$0.005391
Luna, no reasoning	10/10	10/10	90%	1.24 s	6.34 s	$0.001361
Luna, low reasoning	10/10	10/10	90%	1.49 s	7.29 s	$0.001795

On AI SDK 7, Luna with no reasoning matched GPT-4.1 mini's quality score. It cut estimated cost by 75% and median total time by 39%. The first event arrived 113 ms later.

Telemetry check

The live Gateway test emitted an invoke_agent root, a step 1 child, and a model-call child. The Langfuse processor attached the trace name, session ID, tags, environment, token counts, model input, and model output. Its default filter kept all three spans.

Checks

• Frozen pnpm install passes the repository's supply-chain checks.
• Targeted Prettier and ESLint checks pass.
• pnpm build passes.
• pnpm --filter docs exec tsc --noEmit --pretty false passes.
• Next.js production compilation succeeds.

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