@gork-labs/secondbrain-mcp/dist/quality/refinement-manager.d.ts

Second Brain MCP Server - Agent team orchestration with dynamic tool discovery

import { RefinementState, EnhancedQualityAssessment, ValidationContext, SubAgentResponse } from '../utils/types.js';
import { SessionManager } from '../core/session-manager.js';
import { QualityValidator } from './validator.js';
/**
 * Manages iterative refinement of sub-agent responses
 * Tracks refinement attempts and provides targeted feedback
 */
export declare class RefinementManager {
    private refinementStates;
    private sessionManager;
    private qualityValidator;
    constructor(sessionManager: SessionManager, qualityValidator: QualityValidator);
    /**
     * Determine if a response needs refinement based on quality assessment
     */
    needsRefinement(assessment: EnhancedQualityAssessment, context: ValidationContext, sessionId: string): boolean;
    /**
     * Generate refinement prompt based on quality assessment
     */
    generateRefinementPrompt(assessment: EnhancedQualityAssessment, context: ValidationContext, originalTask: string, previousResponse: SubAgentResponse): string;
    /**
     * Track a refinement attempt
     */
    trackRefinementAttempt(sessionId: string, subagent: string, previousScore: number, refinementReason: string): RefinementState;
    /**
     * Assess if refinement was successful
     */
    assessRefinementSuccess(sessionId: string, subagent: string, newAssessment: EnhancedQualityAssessment): {
        successful: boolean;
        improvement: number;
        trend: 'improving' | 'declining' | 'stable';
        shouldContinue: boolean;
    };
    /**
     * Get refinement statistics for a session
     */
    getRefinementStats(sessionId: string): {
        totalRefinements: number;
        chatmodeBreakdown: Record<string, number>;
        averageImprovement: number;
        successRate: number;
    };
    /**
     * Clean up old refinement states
     */
    cleanupOldStates(maxAge?: number): void;
    private getRefinementState;
    private getMaxRefinementAttempts;
    private identifyRefinementAreas;
    private generateSpecificFeedback;
    private assessQualityTrend;
    private generateTaskId;
    private extractChatmodeFromState;
}