@prism-lang/confidence/dist/calibration.d.ts

Confidence extraction library for Prism - standardized patterns for extracting confidence values from LLMs and other sources

import { DomainCalibrationConfig, CalibrationCurve } from './types';
/**
 * Base calibrator class for domain-specific confidence adjustment
 */
export declare abstract class DomainCalibrator {
    protected config: DomainCalibrationConfig;
    constructor(config: DomainCalibrationConfig);
    /**
     * Calibrate a raw confidence value based on domain knowledge
     */
    calibrate(rawConfidence: number, context: any): Promise<number>;
    /**
     * Get explanation for calibration adjustments
     */
    explainCalibration(rawConfidence: number, context: any): Promise<string>;
    protected abstract categorize(context: any): string | null;
    protected applyCurve(value: number, curve: CalibrationCurve, context: any): number;
    protected checkCondition(_condition: string, _context: any): boolean;
    protected applyTemporalDecay(value: number, timestamp: Date): number;
    private getAge;
    private parseHalfLife;
}
/**
 * Security-specific calibrator
 */
export declare class SecurityCalibrator extends DomainCalibrator {
    constructor();
    protected categorize(context: any): string | null;
    protected checkCondition(condition: string, context: any): boolean;
}
/**
 * Interactive calibrator that learns from feedback
 */
export declare class InteractiveCalibrator extends DomainCalibrator {
    private history;
    constructor(domain: string);
    /**
     * Provide feedback on a prediction
     */
    feedback(prediction: any, actualOutcome: any): void;
    /**
     * Save the learned calibration
     */
    save(_name: string): string;
    /**
     * Load a saved calibration
     */
    static load(data: string): InteractiveCalibrator;
    protected categorize(context: any): string | null;
    private recalibrate;
    private evaluatePrediction;
}
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