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