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feat: Implement YAML-first declarative intelligence architecture
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>
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# Core Logging Settings
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logging:
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enabled: true
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level: "INFO" # ERROR, WARNING, INFO, DEBUG
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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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@@ -14,10 +14,10 @@ logging:
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# Hook Logging Settings
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hook_logging:
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log_lifecycle: true # Log hook start/end events
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log_decisions: true # Log decision points
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log_errors: true # Log error events
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log_timing: true # Include timing information
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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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@@ -65,6 +65,6 @@ hook_configuration:
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# Development Settings
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development:
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verbose_errors: true
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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
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