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3e40322d0a
Major reorganization of SuperClaude V4 Beta directories: - Moved SuperClaude-Lite content to Framework-Hooks/ - Renamed SuperClaude/ directories to Framework/ for clarity - Created separate Framework-Lite/ for lightweight variant - Consolidated hooks system under Framework-Hooks/ This restructuring aligns with the V4 Beta architecture: - Framework/: Full framework with all features - Framework-Lite/: Lightweight variant - Framework-Hooks/: Hooks system implementation Part of SuperClaude V4 Beta development roadmap. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
346 lines
8.6 KiB
YAML
346 lines
8.6 KiB
YAML
# SuperClaude-Lite Performance Configuration
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# Performance targets, thresholds, and optimization strategies
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# Hook Performance Targets
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hook_targets:
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session_start:
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target_ms: 50
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warning_threshold_ms: 75
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critical_threshold_ms: 100
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optimization_priority: "critical"
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pre_tool_use:
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target_ms: 200
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warning_threshold_ms: 300
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critical_threshold_ms: 500
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optimization_priority: "high"
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post_tool_use:
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target_ms: 100
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warning_threshold_ms: 150
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critical_threshold_ms: 250
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optimization_priority: "medium"
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pre_compact:
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target_ms: 150
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warning_threshold_ms: 200
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critical_threshold_ms: 300
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optimization_priority: "high"
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notification:
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target_ms: 100
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warning_threshold_ms: 150
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critical_threshold_ms: 200
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optimization_priority: "medium"
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stop:
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target_ms: 200
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warning_threshold_ms: 300
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critical_threshold_ms: 500
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optimization_priority: "low"
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subagent_stop:
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target_ms: 150
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warning_threshold_ms: 200
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critical_threshold_ms: 300
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optimization_priority: "medium"
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# System Performance Targets
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system_targets:
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overall_session_efficiency: 0.75
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mcp_coordination_efficiency: 0.70
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compression_effectiveness: 0.50
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learning_adaptation_rate: 0.80
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user_satisfaction_target: 0.75
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resource_utilization:
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memory_target_mb: 100
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memory_warning_mb: 150
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memory_critical_mb: 200
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cpu_target_percent: 40
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cpu_warning_percent: 60
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cpu_critical_percent: 80
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token_efficiency_target: 0.40
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token_warning_threshold: 0.20
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token_critical_threshold: 0.10
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# MCP Server Performance
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mcp_server_performance:
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context7:
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activation_target_ms: 150
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response_target_ms: 500
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cache_hit_ratio_target: 0.70
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quality_score_target: 0.90
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sequential:
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activation_target_ms: 200
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response_target_ms: 1000
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analysis_depth_target: 0.80
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reasoning_quality_target: 0.85
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magic:
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activation_target_ms: 120
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response_target_ms: 800
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component_quality_target: 0.85
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generation_speed_target: 0.75
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playwright:
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activation_target_ms: 300
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response_target_ms: 2000
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test_reliability_target: 0.90
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automation_efficiency_target: 0.80
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morphllm:
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activation_target_ms: 80
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response_target_ms: 400
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edit_accuracy_target: 0.95
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processing_efficiency_target: 0.85
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serena:
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activation_target_ms: 100
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response_target_ms: 600
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semantic_accuracy_target: 0.90
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memory_efficiency_target: 0.80
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# Compression Performance
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compression_performance:
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target_compression_ratio: 0.50
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quality_preservation_minimum: 0.95
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processing_speed_target_chars_per_ms: 100
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level_targets:
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minimal:
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compression_ratio: 0.15
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quality_preservation: 0.98
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processing_time_factor: 1.0
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efficient:
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compression_ratio: 0.40
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quality_preservation: 0.95
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processing_time_factor: 1.2
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compressed:
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compression_ratio: 0.60
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quality_preservation: 0.90
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processing_time_factor: 1.5
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critical:
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compression_ratio: 0.75
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quality_preservation: 0.85
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processing_time_factor: 1.8
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emergency:
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compression_ratio: 0.85
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quality_preservation: 0.80
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processing_time_factor: 2.0
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# Learning Engine Performance
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learning_performance:
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adaptation_response_time_ms: 200
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pattern_detection_accuracy: 0.80
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effectiveness_prediction_accuracy: 0.75
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learning_rates:
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user_preference_learning: 0.85
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operation_pattern_learning: 0.80
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performance_optimization_learning: 0.75
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error_recovery_learning: 0.90
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memory_efficiency:
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learning_data_compression_ratio: 0.30
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memory_cleanup_efficiency: 0.90
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cache_hit_ratio: 0.70
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# Quality Gate Performance
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quality_gate_performance:
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validation_speed_targets:
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syntax_validation_ms: 50
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type_analysis_ms: 100
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code_quality_ms: 150
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security_assessment_ms: 200
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performance_analysis_ms: 250
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accuracy_targets:
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rule_compliance_detection: 0.95
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principle_alignment_assessment: 0.90
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quality_scoring_accuracy: 0.85
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security_vulnerability_detection: 0.98
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comprehensive_validation_target_ms: 500
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# Task Management Performance
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task_management_performance:
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delegation_efficiency_targets:
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file_based_delegation: 0.65
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folder_based_delegation: 0.70
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auto_delegation: 0.75
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wave_orchestration_targets:
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coordination_overhead_max: 0.20
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wave_synchronization_efficiency: 0.85
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parallel_execution_speedup: 1.50
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task_completion_targets:
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success_rate: 0.90
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quality_score: 0.80
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time_efficiency: 0.75
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# Mode-Specific Performance
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mode_performance:
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brainstorming:
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dialogue_response_time_ms: 300
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convergence_efficiency: 0.80
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brief_generation_quality: 0.85
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user_satisfaction_target: 0.85
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task_management:
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coordination_overhead_max: 0.15
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delegation_efficiency: 0.70
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parallel_execution_benefit: 1.40
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analytics_generation_time_ms: 500
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token_efficiency:
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compression_processing_time_ms: 150
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efficiency_gain_target: 0.40
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quality_preservation_target: 0.95
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user_acceptance_rate: 0.80
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introspection:
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analysis_depth_target: 0.80
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insight_quality_target: 0.75
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transparency_effectiveness: 0.85
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learning_value_target: 0.70
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# Performance Monitoring
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performance_monitoring:
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real_time_tracking:
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enabled: true
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sampling_interval_ms: 100
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metric_aggregation_window_s: 60
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alert_threshold_breaches: 3
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metrics_collection:
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execution_times: true
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resource_utilization: true
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quality_scores: true
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user_satisfaction: true
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error_rates: true
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alerting:
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performance_degradation: true
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resource_exhaustion: true
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quality_threshold_breach: true
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user_satisfaction_drop: true
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reporting:
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hourly_summaries: true
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daily_analytics: true
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weekly_trends: true
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monthly_optimization_reports: true
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# Optimization Strategies
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optimization_strategies:
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caching:
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intelligent_caching: true
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cache_warming: true
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predictive_loading: true
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cache_invalidation: "smart"
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parallel_processing:
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auto_detection: true
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optimal_concurrency: "dynamic"
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load_balancing: "intelligent"
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resource_coordination: "adaptive"
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resource_management:
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memory_optimization: true
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cpu_optimization: true
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token_optimization: true
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storage_optimization: true
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adaptive_performance:
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dynamic_target_adjustment: true
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context_aware_optimization: true
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learning_based_improvement: true
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user_preference_integration: true
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# Performance Thresholds
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performance_thresholds:
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green_zone: # 0-70% resource usage
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all_optimizations_available: true
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proactive_caching: true
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full_feature_set: true
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normal_verbosity: true
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yellow_zone: # 70-85% resource usage
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efficiency_mode_activation: true
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cache_optimization: true
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reduced_verbosity: true
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non_critical_feature_deferral: true
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orange_zone: # 85-95% resource usage
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aggressive_optimization: true
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compression_activation: true
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feature_reduction: true
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essential_operations_only: true
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red_zone: # 95%+ resource usage
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emergency_mode: true
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maximum_compression: true
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minimal_features: true
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critical_operations_only: true
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# Fallback Performance
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fallback_performance:
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graceful_degradation:
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feature_prioritization: true
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quality_vs_speed_tradeoffs: "intelligent"
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user_notification: true
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automatic_recovery: true
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emergency_protocols:
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resource_exhaustion: "immediate_compression"
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timeout_protection: "operation_cancellation"
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error_cascade_prevention: "circuit_breaker"
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recovery_strategies:
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performance_restoration: "gradual"
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feature_reactivation: "conditional"
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quality_normalization: "monitored"
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# Benchmarking and Testing
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benchmarking:
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performance_baselines:
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establish_on_startup: true
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regular_recalibration: true
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environment_specific: true
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load_testing:
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synthetic_workloads: true
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stress_testing: true
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endurance_testing: true
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regression_testing:
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performance_regression_detection: true
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quality_regression_detection: true
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feature_regression_detection: true
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# Integration Performance
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integration_performance:
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cross_hook_coordination: 0.90
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mcp_server_orchestration: 0.85
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mode_switching_efficiency: 0.80
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learning_engine_responsiveness: 0.85
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end_to_end_targets:
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session_initialization: 500 # ms
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complex_operation_completion: 5000 # ms
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session_termination: 1000 # ms
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system_health_indicators:
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overall_efficiency: 0.75
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user_experience_quality: 0.80
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system_reliability: 0.95
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adaptation_effectiveness: 0.70 |