/**
 * This is a copy of the Vercel AI integration from the node SDK.
 *
 * The only difference is that it does not use `@opentelemetry/instrumentation`
 * because Cloudflare Workers do not support it.
 *
 * Therefore, we cannot automatically patch setting `experimental_telemetry: { isEnabled: true }`
 * and users have to manually set this to get spans.
 */
interface VercelAiOptions {
    /**
     * Enable or disable truncation of recorded input messages.
     * Defaults to `true`.
     */
    enableTruncation?: boolean;
}
/**
 * Adds Sentry tracing instrumentation for the [ai](https://www.npmjs.com/package/ai) library.
 * This integration is not enabled by default, you need to manually add it.
 *
 * For more information, see the [`ai` documentation](https://sdk.vercel.ai/docs/ai-sdk-core/telemetry).
 *
 *  You need to enable collecting spans for a specific call by setting
 * `experimental_telemetry.isEnabled` to `true` in the first argument of the function call.
 *
 * ```javascript
 * const result = await generateText({
 *   model: openai('gpt-4-turbo'),
 *   experimental_telemetry: { isEnabled: true },
 * });
 * ```
 *
 * If you want to collect inputs and outputs for a specific call, you must specifically opt-in to each
 * function call by setting `experimental_telemetry.recordInputs` and `experimental_telemetry.recordOutputs`
 * to `true`.
 *
 * ```javascript
 * const result = await generateText({
 *  model: openai('gpt-4-turbo'),
 *  experimental_telemetry: { isEnabled: true, recordInputs: true, recordOutputs: true },
 * });
 */
export declare const vercelAIIntegration: (options?: VercelAiOptions | undefined) => import("@sentry/core").Integration;
export {};
//# sourceMappingURL=vercelai.d.ts.map