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Revolutionary transformation from hardcoded Python intelligence to hot-reloadable YAML patterns, enabling dynamic configuration without code changes. ## Phase 1: Foundation Intelligence Complete ### YAML Intelligence Patterns (6 files) - intelligence_patterns.yaml: Multi-dimensional pattern recognition with adaptive learning - mcp_orchestration.yaml: Server selection decision trees with load balancing - hook_coordination.yaml: Parallel execution patterns with dependency resolution - performance_intelligence.yaml: Resource zones and auto-optimization triggers - validation_intelligence.yaml: Health scoring and proactive diagnostic patterns - user_experience.yaml: Project detection and smart UX adaptations ### Python Infrastructure Enhanced (4 components) - intelligence_engine.py: Generic YAML pattern interpreter with hot-reload - learning_engine.py: Enhanced with YAML intelligence integration - yaml_loader.py: Added intelligence configuration helper methods - validate_system.py: New YAML-driven validation with health scoring ### Key Features Implemented - Hot-reload intelligence: Update patterns without code changes or restarts - Declarative configuration: All intelligence logic expressed in YAML - Graceful fallbacks: System works correctly even with missing YAML files - Multi-pattern coordination: Intelligent recommendations from multiple sources - Health scoring: Component-weighted validation with predictive diagnostics - Generic architecture: Single engine consumes all intelligence pattern types ### Testing Results ✅ All components integrate correctly ✅ Hot-reload mechanism functional ✅ Graceful error handling verified ✅ YAML-driven validation operational ✅ Health scoring system working (detected real system issues) This enables users to modify intelligence behavior by editing YAML files, add new pattern types without coding, and hot-reload improvements in real-time. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
70 lines
1.6 KiB
YAML
70 lines
1.6 KiB
YAML
# SuperClaude-Lite Logging Configuration
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# Simple logging configuration for hook execution monitoring
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# Core Logging Settings
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logging:
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enabled: false
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level: "ERROR" # ERROR, WARNING, INFO, DEBUG
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# File Settings
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file_settings:
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log_directory: "cache/logs"
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retention_days: 30
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rotation_strategy: "daily"
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# Hook Logging Settings
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hook_logging:
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log_lifecycle: false # Log hook start/end events
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log_decisions: false # Log decision points
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log_errors: false # Log error events
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log_timing: false # Include timing information
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# Performance Settings
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performance:
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max_overhead_ms: 1 # Maximum acceptable logging overhead
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async_logging: false # Keep simple for now
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# Privacy Settings
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privacy:
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sanitize_user_content: true
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exclude_sensitive_data: true
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anonymize_session_ids: false # Keep for correlation
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# Hook-Specific Configuration
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hook_configuration:
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pre_tool_use:
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enabled: true
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log_tool_selection: true
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log_input_validation: true
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post_tool_use:
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enabled: true
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log_output_processing: true
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log_integration_success: true
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session_start:
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enabled: true
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log_initialization: true
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log_configuration_loading: true
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pre_compact:
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enabled: true
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log_compression_decisions: true
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notification:
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enabled: true
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log_notification_handling: true
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stop:
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enabled: true
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log_cleanup_operations: true
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subagent_stop:
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enabled: true
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log_subagent_cleanup: true
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# Development Settings
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development:
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verbose_errors: false
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include_stack_traces: false # Keep logs clean
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debug_mode: false |