ai-debug-local-mcp
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TypeScript
/**
* Performance Orchestrator - Real Implementation
* Coordinates performance analysis and optimization across multiple sub-agents
*/
import { OrchestratorResult } from '../types/orchestrator-types.js';
export interface PerformanceTask {
task?: string;
description?: string;
url?: string;
targetMetrics?: {
lcp?: number;
fcp?: number;
tti?: number;
cls?: number;
};
focus?: 'speed' | 'bundle' | 'memory' | 'general';
context?: any;
handler?: any;
}
export declare class PerformanceOrchestrator {
name: string;
description: string;
private subAgentExecutor?;
private subAgents;
orchestrate(task: PerformanceTask): Promise<OrchestratorResult>;
private analyzeTask;
private createExecutionPlan;
private executePlan;
private executePlanFallback;
private getSimulatedMetrics;
private synthesizeResults;
private calculatePerformanceScore;
private createPerformanceSummary;
private generateOptimizationRoadmap;
private prioritizeOptimizations;
private getOptimizationPriority;
private estimateImpact;
private estimateEffort;
private checkTargetsMet;
private calculateConfidence;
}
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