import type { AgentResult, AgentMetadata, AgentContext } from '../types/agent.types';
export interface UnclearSection {
    section: string;
    reason: string;
    suggestedQuestion: string;
    importance: 'critical' | 'high' | 'medium' | 'low';
}
export interface ClarityEvaluation {
    score: number;
    unclearSections: UnclearSection[];
    followUpQuestions: string[];
    confidence: number;
    recommendations: string[];
}
export interface RefinementIteration {
    iterationNumber: number;
    agentName: string;
    clarityScore: number;
    unclearSections: UnclearSection[];
    followUpQuestions: string[];
    previousResult: AgentResult;
    improvedResult?: AgentResult;
    improvementPercentage?: number;
}
export declare class ClarityEvaluator {
    private llmService;
    private logger;
    constructor();
    evaluateClarity(agentResult: AgentResult, agentMetadata: AgentMetadata, context: AgentContext): Promise<ClarityEvaluation>;
    generateFollowUpQuestions(unclearSections: UnclearSection[], _agentMetadata: AgentMetadata): Promise<string[]>;
    calculateImprovement(previousScore: number, currentScore: number): number;
    shouldContinueRefinement(currentScore: number, threshold: number, iteration: number, maxIterations: number, improvementPercentage?: number, minImprovement?: number): boolean;
    private buildSystemPrompt;
    private buildHumanPrompt;
    private parseEvaluationResult;
    private prioritizeUnclearSections;
}
//# sourceMappingURL=clarity-evaluator.d.ts.map