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45 lines
1.8 KiB
Plaintext
45 lines
1.8 KiB
Plaintext
import type { InstrumentationConfig, InstrumentationModuleDefinition } from '@opentelemetry/instrumentation';
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import { InstrumentationBase } from '@opentelemetry/instrumentation';
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interface RecordingOptions {
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recordInputs?: boolean;
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recordOutputs?: boolean;
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}
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/**
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* Determines whether to record inputs and outputs for Vercel AI telemetry based on the configuration hierarchy.
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*
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* The order of precedence is:
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* 1. The vercel ai integration options
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* 2. The experimental_telemetry options in the vercel ai method calls
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* 3. When telemetry is explicitly enabled (isEnabled: true), default to recording
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* 4. Otherwise, use the sendDefaultPii option from client options
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*/
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export declare function determineRecordingSettings(integrationRecordingOptions: RecordingOptions | undefined, methodTelemetryOptions: RecordingOptions, telemetryExplicitlyEnabled: boolean | undefined, defaultRecordingEnabled: boolean): {
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recordInputs: boolean;
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recordOutputs: boolean;
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};
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/**
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* This detects is added by the Sentry Vercel AI Integration to detect if the integration should
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* be enabled.
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*
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* It also patches the `ai` module to enable Vercel AI telemetry automatically for all methods.
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*/
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export declare class SentryVercelAiInstrumentation extends InstrumentationBase {
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private _isPatched;
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private _callbacks;
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constructor(config?: InstrumentationConfig);
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/**
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* Initializes the instrumentation by defining the modules to be patched.
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*/
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init(): InstrumentationModuleDefinition;
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/**
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* Call the provided callback when the module is patched.
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* If it has already been patched, the callback will be called immediately.
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*/
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callWhenPatched(callback: () => void): void;
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/**
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* Patches module exports to enable Vercel AI telemetry.
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*/
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private _patch;
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}
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export {};
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//# sourceMappingURL=instrumentation.d.ts.map |