/**
 * CorrectionInjector — decides whether to correct a finding mid-stream
 * and builds the prompt messages for re-generation.
 *
 * Strategy: Prefill technique (Option B).
 * When a finding triggers:
 *   1. Stop the current stream
 *   2. Take all text generated so far as the assistant's partial response (prefill)
 *   3. Add a user message explaining the issue and requesting a fix
 *   4. Resume generation — the LLM continues from where it left off
 */
import type { CheckSeverity, VerificationEvent } from './types.js';
declare const SEVERITY_RANK: Record<CheckSeverity, number>;
export interface CorrectionInjectorOptions {
    /** Only correct findings at or above this severity. Default: 'high' */
    minSeverity?: CheckSeverity;
    /** Maximum corrections per stream to avoid infinite loops. Default: 5 */
    maxCorrections?: number;
}
export interface CorrectionMessage {
    role: 'user' | 'assistant';
    content: string;
}
export declare class CorrectionInjector {
    private readonly minSeverity;
    private readonly maxCorrections;
    private correctionCount;
    constructor(options?: CorrectionInjectorOptions);
    /**
     * Decide if this finding warrants stopping and correcting.
     *
     * Returns false when:
     *  - verdict is not FAIL
     *  - severity is below minSeverity
     *  - maxCorrections has been reached
     */
    shouldCorrect(event: VerificationEvent): boolean;
    /**
     * Build the messages array for the correction re-generation.
     *
     * Uses the Anthropic API prefill technique:
     *  1. Original user prompt
     *  2. Assistant prefill (everything generated so far)
     *  3. User message explaining the issue
     *
     * The system prompt is passed separately to the API, not included here.
     */
    buildCorrectionMessages(generatedSoFar: string, event: VerificationEvent, _originalSystemPrompt: string, originalUserPrompt: string): CorrectionMessage[];
    /** Record that a correction was made (for tracking max corrections). */
    recordCorrection(_event: VerificationEvent): void;
    /** Get number of corrections made so far. */
    getCorrectionCount(): number;
    /** Reset correction counter (e.g. for a new stream). */
    reset(): void;
}
export { SEVERITY_RANK };