/**
 * ClarificationAgent - Analyzes instructions for ambiguity and generates clarifying questions
 */
import { GeminiClient } from '../llm/GeminiClient';
import { AmbiguityAnalysis, ClarificationQuestion, ClarificationResponse, ClarificationConfig } from './types';
export declare class ClarificationAgent {
    private llmClient;
    private config;
    constructor(llmClient: GeminiClient, config?: ClarificationConfig);
    /**
     * Analyze an instruction for ambiguities
     */
    analyzeInstruction(instruction: string): Promise<AmbiguityAnalysis>;
    /**
     * Generate clarifying questions based on ambiguity analysis
     */
    generateQuestions(analysis: AmbiguityAnalysis): Promise<ClarificationQuestion[]>;
    /**
     * Enhance the original instruction with clarification responses
     */
    enhanceInstruction(originalInstruction: string, responses: ClarificationResponse[]): Promise<string>;
    /**
     * Check if a task is simple enough to skip clarification
     */
    private isSimpleTask;
    /**
     * Get sensitivity threshold based on configuration
     */
    private getSensitivityThreshold;
    /**
     * Parse ambiguity analysis from LLM response
     */
    private parseAmbiguityAnalysis;
    /**
     * Parse questions from LLM response
     */
    private parseQuestions;
    /**
     * Parse enhanced instruction from LLM response
     */
    private parseEnhancedInstruction;
    /**
     * Generate fallback questions from ambiguous elements
     */
    private generateFallbackQuestions;
    /**
     * Create fallback enhanced instruction by appending responses
     */
    private createFallbackEnhancement;
}
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