377 lines
12 KiB
Markdown
377 lines
12 KiB
Markdown
# Error Detection & Recovery System - Reliability Engineering
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## System Overview
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The Error Detection & Recovery System provides comprehensive failure detection, graceful degradation, automatic recovery, and learning mechanisms to ensure high system reliability and user experience.
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## Error Detection Framework
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### Multi-Layer Error Detection
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```yaml
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error_detection_layers:
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layer_1_syntax_validation:
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scope: "template_rendering_and_data_structure"
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detection_speed: "immediate"
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checks:
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- template_syntax_errors
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- variable_substitution_failures
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- json_schema_validation_failures
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- required_field_missing_errors
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auto_recovery: true
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layer_2_content_quality:
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scope: "agent_output_semantic_validation"
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detection_speed: "real_time"
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checks:
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- placeholder_text_detection
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- vague_language_detection
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- incomplete_section_detection
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- logical_inconsistency_detection
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auto_recovery: "limited"
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layer_3_cross_agent_consistency:
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scope: "multi_agent_output_alignment"
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detection_speed: "post_agent_completion"
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checks:
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- requirement_contradiction_detection
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- technical_feasibility_conflicts
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- timeline_inconsistencies
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- scope_creep_detection
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auto_recovery: false # Requires consensus building
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layer_4_workflow_integrity:
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scope: "overall_workflow_health"
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detection_speed: "continuous"
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checks:
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- workflow_deadlock_detection
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- infinite_retry_loop_detection
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- resource_exhaustion_detection
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- quality_degradation_trends
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auto_recovery: "system_level"
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```
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### Error Classification System
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```yaml
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error_categories:
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transient_errors:
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characteristics: ["temporary", "retry_likely_to_succeed", "system_recoverable"]
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examples:
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- timeout_errors
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- temporary_resource_unavailability
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- network_connectivity_issues
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- context_lock_conflicts
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recovery_strategy: "automatic_retry_with_backoff"
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max_retries: 3
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deterministic_errors:
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characteristics: ["repeatable", "same_input_same_failure", "logic_issue"]
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examples:
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- invalid_template_variables
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- malformed_context_data
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- agent_prompt_logic_errors
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- workflow_configuration_errors
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recovery_strategy: "fallback_to_simplified_approach"
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escalation: "immediate"
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quality_errors:
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characteristics: ["subjective", "quality_below_threshold", "content_issue"]
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examples:
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- low_quality_agent_output
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- insufficient_detail_level
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- unclear_requirements
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- incomplete_specifications
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recovery_strategy: "iterative_improvement"
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max_iterations: 2
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system_errors:
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characteristics: ["infrastructure", "resource_limitation", "external_dependency"]
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examples:
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- memory_exhaustion
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- cpu_overload
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- storage_unavailable
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- external_service_failure
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recovery_strategy: "graceful_degradation"
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fallback: "minimal_functionality_mode"
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user_input_errors:
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characteristics: ["invalid_specification", "insufficient_information", "contradictory_requirements"]
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examples:
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- empty_or_vague_specifications
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- contradictory_user_requirements
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- unrealistic_constraints
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- missing_critical_information
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recovery_strategy: "guided_specification_improvement"
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escalation: "request_user_clarification"
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```
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## Recovery Mechanisms
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### Automated Recovery Strategies
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```yaml
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recovery_strategies:
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automatic_retry_with_intelligence:
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trigger_conditions:
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- transient_error_detected
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- timeout_without_critical_failure
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- temporary_resource_unavailability
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retry_algorithm:
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base_delay: 5 # seconds
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backoff_multiplier: 2.0
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max_delay: 120 # seconds
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jitter: 0.2 # 20% random variation
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retry_enhancements:
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context_refresh: "reload_latest_context_before_retry"
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resource_reallocation: "request_additional_resources_if_available"
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prompt_enhancement: "add_previous_failure_context_to_agent_prompt"
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success_criteria:
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quality_threshold: 6.0
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completeness_check: true
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consistency_validation: true
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iterative_improvement:
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trigger_conditions:
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- quality_below_threshold
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- incomplete_output_detected
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- validation_failures
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improvement_process:
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iteration_1:
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strategy: "enhance_context_with_specific_guidance"
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guidance_types: ["missing_sections", "quality_improvement_tips", "specific_examples"]
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iteration_2:
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strategy: "simplify_requirements_and_focus_on_essentials"
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simplification: ["reduce_scope", "focus_on_core_features", "use_simpler_language"]
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iteration_3:
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strategy: "use_alternative_agent_approach"
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alternatives: ["different_template", "alternative_prompt", "reduced_complexity"]
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graceful_degradation:
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trigger_conditions:
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- system_resource_exhaustion
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- multiple_agent_failures
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- unrecoverable_quality_issues
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degradation_levels:
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level_1_reduced_features:
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disable: ["advanced_validation", "cross_agent_checks", "parallel_execution"]
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maintain: ["core_functionality", "basic_quality_gates", "essential_outputs"]
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level_2_simplified_workflow:
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use: ["simplified_templates", "single_agent_fallbacks", "basic_validation_only"]
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skip: ["comprehensive_analysis", "detailed_architecture", "extensive_testing"]
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level_3_minimal_functionality:
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provide: ["basic_project_brief", "simple_requirements", "minimal_guidance"]
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inform_user: "system_operating_in_minimal_mode_due_to_constraints"
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fallback_mechanisms:
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agent_failure_fallbacks:
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analyst_failure:
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fallback_agent: "pm_with_analysis_template"
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quality_impact: "medium"
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user_notification: "using_simplified_analysis_approach"
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pm_failure:
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fallback_strategy: "analyst_creates_basic_requirements"
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quality_impact: "high"
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user_notification: "using_analyst_generated_requirements"
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architect_failure:
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fallback_strategy: "use_standard_technology_stack_template"
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quality_impact: "medium"
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user_notification: "using_proven_architecture_patterns"
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developer_failure:
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fallback_strategy: "provide_detailed_implementation_guidance_instead"
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quality_impact: "high"
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user_notification: "providing_implementation_roadmap_instead_of_code"
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ux_failure:
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fallback_strategy: "architect_includes_basic_ui_considerations"
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quality_impact: "medium"
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user_notification: "including_basic_ui_guidance_in_architecture"
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qa_failure:
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fallback_strategy: "developer_includes_basic_testing_approach"
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quality_impact: "low"
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user_notification: "including_testing_guidance_in_implementation"
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```
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### Context Recovery System
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```yaml
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context_recovery:
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checkpoint_system:
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checkpoint_frequency:
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- after_successful_agent_completion
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- before_major_workflow_transitions
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- after_quality_gate_passage
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- before_parallel_execution_groups
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checkpoint_data:
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- complete_context_snapshot
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- agent_output_metadata
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- quality_scores_and_validations
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- workflow_state_information
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- performance_metrics
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storage_strategy:
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location: ".claude/context/checkpoints/"
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naming: "checkpoint-{session_id}-{step_number}-{timestamp}"
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retention: "session_lifetime_plus_1_hour"
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compression: "lz4_compression"
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recovery_procedures:
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context_corruption_recovery:
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detection_methods:
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- json_schema_validation_failure
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- required_field_missing
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- data_type_inconsistencies
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- cross_reference_integrity_failures
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recovery_steps:
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1. "identify_last_known_good_checkpoint"
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2. "restore_context_from_checkpoint"
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3. "validate_restored_context_integrity"
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4. "identify_lost_work_since_checkpoint"
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5. "attempt_partial_work_recovery"
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6. "resume_workflow_from_recovery_point"
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partial_context_recovery:
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scenarios:
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- agent_completed_but_context_write_failed
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- network_interruption_during_context_update
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- concurrent_access_corruption
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recovery_approach:
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- extract_recoverable_data_from_agent_output
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- rebuild_context_structure_with_recovered_data
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- fill_missing_fields_with_computed_defaults
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- validate_recovered_context_completeness
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```
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## Learning and Improvement System
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### Error Pattern Analysis
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```yaml
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error_learning:
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pattern_detection:
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collection_scope: "all_errors_across_all_sessions"
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analysis_frequency: "daily"
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pattern_types:
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- recurring_agent_failures
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- common_quality_issues
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- frequent_timeout_scenarios
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- typical_user_input_problems
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learning_algorithms:
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frequency_analysis: "identify_most_common_error_patterns"
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correlation_analysis: "find_relationships_between_errors_and_context"
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trend_analysis: "detect_increasing_or_decreasing_error_rates"
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automatic_improvements:
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prompt_optimization:
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trigger: "recurring_agent_output_quality_issues"
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approach: "add_specific_guidance_to_agent_prompts_based_on_common_failures"
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timeout_adjustment:
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trigger: "frequent_timeout_errors"
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approach: "dynamically_adjust_timeout_values_based_on_historical_performance"
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validation_enhancement:
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trigger: "recurring_validation_failures"
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approach: "add_new_validation_rules_based_on_common_error_patterns"
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workflow_optimization:
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trigger: "frequent_workflow_inefficiencies"
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approach: "modify_workflow_steps_to_avoid_common_failure_points"
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```
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### Proactive Error Prevention
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```yaml
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prevention_mechanisms:
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predictive_error_detection:
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early_warning_indicators:
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- context_complexity_exceeding_thresholds
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- user_specification_ambiguity_scores
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- resource_utilization_trending_toward_limits
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- agent_performance_degradation_patterns
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preventive_actions:
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high_complexity_detection:
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action: "suggest_project_scope_reduction"
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timing: "before_workflow_execution"
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ambiguous_specification_detection:
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action: "request_specification_clarification"
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timing: "during_initial_analysis"
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resource_constraint_prediction:
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action: "enable_graceful_degradation_mode_preemptively"
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timing: "before_resource_exhaustion"
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input_validation_enhancement:
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user_specification_validation:
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checks:
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- minimum_specification_length
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- required_element_presence
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- clarity_and_specificity_scoring
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- feasibility_assessment
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improvement_guidance:
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insufficient_detail: "provide_specification_enhancement_suggestions"
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vague_requirements: "ask_targeted_clarification_questions"
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unrealistic_scope: "suggest_scope_prioritization"
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```
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## Monitoring and Alerting
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### Real-Time Monitoring
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```yaml
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monitoring_system:
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health_metrics:
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system_health:
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- error_rate_per_hour
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- average_recovery_time
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- quality_degradation_incidents
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- user_satisfaction_scores
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performance_health:
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- workflow_completion_rate
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- average_execution_time
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- resource_utilization_efficiency
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- cache_hit_ratios
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quality_health:
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- average_output_quality_scores
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- validation_failure_rates
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- cross_agent_consistency_scores
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- user_acceptance_rates
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alerting_rules:
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critical_alerts:
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- error_rate > 25% over 10 minutes
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- system_unavailable > 2 minutes
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- data_corruption_detected
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- security_breach_indicators
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warning_alerts:
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- error_rate > 10% over 30 minutes
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- quality_scores < 7.0 average over 1 hour
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- resource_utilization > 85% for 15 minutes
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- recovery_attempts > 50% of executions
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dashboard_metrics:
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real_time_display:
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- current_active_workflows
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- error_rates_and_trends
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- performance_metrics
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- quality_indicators
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- recovery_success_rates
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```
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This comprehensive Error Detection & Recovery System ensures the BMAD-Spec Orchestrator maintains high reliability and provides excellent user experience even when facing various types of failures and edge cases. |