DMleadgen
46d973904b
Next.js website for Rocky Mountain Vending company featuring: - Product catalog with Stripe integration - Service areas and parts pages - Admin dashboard with Clerk authentication - SEO optimized pages with JSON-LD structured data Co-authored-by: Cursor <cursoragent@cursor.com>
43 lines
No EOL
1.6 KiB
Text
43 lines
No EOL
1.6 KiB
Text
import { SentryVercelAiInstrumentation } from './instrumentation';
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import type { VercelAiOptions } from './types';
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export declare const instrumentVercelAi: ((options?: unknown) => SentryVercelAiInstrumentation) & {
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id: string;
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};
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/**
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* Adds Sentry tracing instrumentation for the [ai](https://www.npmjs.com/package/ai) library.
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* This integration is not enabled by default, you need to manually add it.
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*
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* For more information, see the [`ai` documentation](https://sdk.vercel.ai/docs/ai-sdk-core/telemetry).
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*
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* @example
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* ```javascript
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* const Sentry = require('@sentry/node');
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*
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* Sentry.init({
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* integrations: [Sentry.vercelAIIntegration()],
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* });
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* ```
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*
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* This integration adds tracing support to all `ai` function calls.
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* You need to opt-in to collecting spans for a specific call,
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* you can do so by setting `experimental_telemetry.isEnabled` to `true` in the first argument of the function call.
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*
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* ```javascript
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* const result = await generateText({
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* model: openai('gpt-4-turbo'),
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* experimental_telemetry: { isEnabled: true },
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* });
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* ```
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*
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* If you want to collect inputs and outputs for a specific call, you must specifically opt-in to each
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* function call by setting `experimental_telemetry.recordInputs` and `experimental_telemetry.recordOutputs`
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* to `true`.
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*
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* ```javascript
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* const result = await generateText({
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* model: openai('gpt-4-turbo'),
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* experimental_telemetry: { isEnabled: true, recordInputs: true, recordOutputs: true },
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* });
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*/
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export declare const vercelAIIntegration: (options?: VercelAiOptions | undefined) => import("@sentry/core").Integration;
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//# sourceMappingURL=index.d.ts.map |