# Advanced Error Tracking and Task Generation
## Error Management Philosophy
The Agent Orchestration Platform employs **systematic error tracking** with automatic task generation for complex issues requiring dedicated resolution efforts. All errors are classified, tracked, and either resolved immediately or converted to structured tasks.
## Error Classification System
### **Error Categories by Resolution Time**
| Category | Resolution Time | Action | Priority |
|----------|----------------|---------|----------|
| **Syntax/Type** | <5 minutes | Fix immediately | IMMEDIATE |
| **Simple Logic** | <15 minutes | Handle in current task | HIGH |
| **Complex Logic** | >30 minutes | **CREATE TASK** | HIGH |
| **Integration** | >30 minutes | **CREATE TASK** | HIGH |
| **Performance** | >30 minutes | **CREATE TASK** | MEDIUM |
| **Security** | Any duration | **CREATE HIGH PRIORITY TASK** | CRITICAL |
### **Error Severity Levels**
```python
class ErrorSeverity(Enum):
"""Error severity classification for prioritization."""
CRITICAL = "critical" # System security or data integrity
HIGH = "high" # Core functionality broken
MEDIUM = "medium" # Feature degradation
LOW = "low" # Minor issues or optimization
INFO = "info" # Informational or warnings
```
### **Error Types and Examples**
```python
class ErrorType(Enum):
"""Categorization of error types for appropriate handling."""
SYNTAX = "syntax" # Python syntax errors, type mismatches
VALIDATION = "validation" # Input validation failures
AUTHORIZATION = "authorization" # Security and permission errors
RESOURCE = "resource" # Memory, CPU, or file descriptor limits
INTEGRATION = "integration" # External system communication failures
CONCURRENCY = "concurrency" # Race conditions and deadlocks
PERFORMANCE = "performance" # Timeout and optimization issues
CONFIGURATION = "configuration" # Setup and environment issues
DATA_INTEGRITY = "data_integrity" # State corruption or consistency issues
```
## Automatic Task Generation Framework
### **Task Generation Trigger Conditions**
```python
@dataclass(frozen=True)
class ErrorAnalysis:
"""Analysis results for error task generation decisions."""
error_type: ErrorType
severity: ErrorSeverity
estimated_resolution_time: timedelta
requires_architectural_change: bool
affects_multiple_components: bool
has_security_implications: bool
def should_create_task(self) -> bool:
"""Determine if error warrants task creation."""
# Security errors always get tasks
if self.has_security_implications:
return True
# Complex or time-consuming errors get tasks
if self.estimated_resolution_time > timedelta(minutes=30):
return True
# Architectural changes need tasks
if self.requires_architectural_change:
return True
# Multi-component issues need coordination tasks
if self.affects_multiple_components:
return True
return False
def get_task_priority(self) -> TaskPriority:
"""Determine priority for generated task."""
if self.severity == ErrorSeverity.CRITICAL:
return TaskPriority.CRITICAL
elif self.has_security_implications:
return TaskPriority.HIGH
elif self.severity == ErrorSeverity.HIGH:
return TaskPriority.HIGH
elif self.affects_multiple_components:
return TaskPriority.MEDIUM
else:
return TaskPriority.LOW
```
### **Dynamic Task Creation Process**
```python
class ErrorTaskGenerator:
"""Generates structured tasks for complex error resolution."""
def __init__(self, task_manager: TaskManager):
self.task_manager = task_manager
async def analyze_and_create_task(
self,
error: Exception,
context: ErrorContext,
current_task: Optional[str] = None
) -> Optional[TaskCreationResult]:
"""Analyze error and create task if warranted."""
# Perform error analysis
analysis = await self._analyze_error(error, context)
if not analysis.should_create_task():
return None
# Generate next task number
next_task_number = await self.task_manager.get_next_task_number()
# Create comprehensive task specification
task_spec = self._generate_task_specification(
task_number=next_task_number,
error=error,
analysis=analysis,
context=context,
parent_task=current_task
)
# Create task file
task_file_path = f"development/tasks/TASK_{next_task_number}.md"
await self._write_task_file(task_file_path, task_spec)
# Update TODO.md with new task
await self.task_manager.add_task_to_tracker(
task_number=next_task_number,
priority=analysis.get_task_priority(),
dependencies=self._determine_dependencies(current_task),
estimated_duration=analysis.estimated_resolution_time
)
return TaskCreationResult(
task_number=next_task_number,
priority=analysis.get_task_priority(),
file_path=task_file_path
)
async def _analyze_error(self, error: Exception, context: ErrorContext) -> ErrorAnalysis:
"""Perform comprehensive error analysis."""
# Classify error type
error_type = self._classify_error_type(error)
# Determine severity
severity = self._assess_severity(error, context)
# Estimate resolution time
resolution_time = self._estimate_resolution_time(error_type, context)
# Check architectural implications
architectural_change = self._requires_architectural_change(error, context)
# Check multi-component impact
multi_component = self._affects_multiple_components(error, context)
# Check security implications
security_implications = self._has_security_implications(error, context)
return ErrorAnalysis(
error_type=error_type,
severity=severity,
estimated_resolution_time=resolution_time,
requires_architectural_change=architectural_change,
affects_multiple_components=multi_component,
has_security_implications=security_implications
)
```
### **Dynamic Task Template Generation**
```python
def _generate_task_specification(
self,
task_number: int,
error: Exception,
analysis: ErrorAnalysis,
context: ErrorContext,
parent_task: Optional[str]
) -> str:
"""Generate comprehensive task specification from error analysis."""
template = f"""# TASK_{task_number}: {analysis.error_type.title()} Error Resolution - {self._generate_title(error)}
**Created By**: {context.agent_name} (Dynamic Error Detection) | **Priority**: {analysis.get_task_priority().value.upper()} | **Duration**: {self._format_duration(analysis.estimated_resolution_time)}
**Technique Focus**: {self._determine_primary_technique(analysis)}
**Size Constraint**: Target <250 lines/module, Max 400 if splitting awkward
## 🚦 Status & Assignment
**Status**: NOT_STARTED
**Assigned**: Unassigned
**Dependencies**: {self._format_dependencies(parent_task)}
**Blocking**: [Tasks that cannot proceed until this is resolved]
## 📖 Required Reading (Complete before starting)
- [ ] **Error Context**: {self._generate_error_context_docs(context)}
- [ ] **System Impact**: {self._analyze_system_impact(error, context)}
- [ ] **Related Documentation**: {self._identify_related_docs(analysis)}
## 🎯 Problem Analysis
**Error Type**: {analysis.error_type.value}
**Severity**: {analysis.severity.value}
**Location**: {self._format_error_location(context)}
**Root Cause**: {self._analyze_root_cause(error, context)}
**System Impact**: {self._describe_system_impact(analysis)}
<thinking>
Root Cause Analysis:
1. {self._generate_root_cause_questions(error, context)}
2. What are the underlying system interactions causing this error?
3. How does this relate to existing architecture and design decisions?
4. What are potential cascading effects and dependencies?
5. What patterns can prevent similar errors in the future?
</thinking>
## ✅ Resolution Subtasks (Sequential completion)
{self._generate_resolution_subtasks(analysis, error, context)}
## 🔧 Implementation Files & Specifications
{self._generate_file_specifications(analysis, context)}
## 🏗️ Modularity Strategy
{self._generate_modularity_guidance(analysis)}
## ✅ Success Criteria & Verification
{self._generate_success_criteria(analysis, error)}
## 🔄 Prevention Strategy
{self._generate_prevention_strategy(analysis, error)}
"""
return template
def _generate_resolution_subtasks(
self,
analysis: ErrorAnalysis,
error: Exception,
context: ErrorContext
) -> str:
"""Generate phase-based resolution subtasks."""
subtasks = ["### Phase 1: Analysis & Design"]
# Analysis phase
if analysis.requires_architectural_change:
subtasks.append("- [ ] **Architecture Review**: Analyze current design limitations")
subtasks.append("- [ ] **Design Alternatives**: Evaluate alternative approaches")
subtasks.append(f"- [ ] **Root Cause Analysis**: {self._specific_analysis_task(error)}")
subtasks.append("- [ ] **Impact Assessment**: Determine full scope of required changes")
# Implementation phase
subtasks.append("\n### Phase 2: Implementation")
if analysis.error_type == ErrorType.SECURITY:
subtasks.append("- [ ] **Security Review**: Validate security implications and mitigations")
if analysis.affects_multiple_components:
subtasks.append("- [ ] **Component Coordination**: Plan changes across multiple components")
subtasks.append(f"- [ ] **Core Resolution**: {self._specific_implementation_task(analysis)}")
subtasks.append("- [ ] **Integration Testing**: Verify resolution doesn't break existing functionality")
# Validation phase
subtasks.append("\n### Phase 3: Validation & Prevention")
subtasks.append("- [ ] **Comprehensive Testing**: Property-based testing for resolution")
subtasks.append("- [ ] **Performance Validation**: Ensure resolution meets performance requirements")
subtasks.append("- [ ] **Documentation Update**: Update relevant documentation")
subtasks.append("- [ ] **Prevention Implementation**: Add safeguards to prevent recurrence")
return "\n".join(subtasks)
```
## Error Tracking and Monitoring
### **Error State Management**
```python
@dataclass(frozen=True)
class ErrorEvent:
"""Immutable error event for tracking and analysis."""
error_id: str
timestamp: datetime
error_type: ErrorType
severity: ErrorSeverity
message: str
stack_trace: str
context: ErrorContext
resolution_status: ErrorResolutionStatus
generated_task: Optional[str] = None
resolution_time: Optional[timedelta] = None
class ErrorTracker:
"""Centralized error tracking and resolution monitoring."""
def __init__(self):
self.active_errors: Dict[str, ErrorEvent] = {}
self.resolved_errors: Dict[str, ErrorEvent] = {}
self.error_patterns: ErrorPatternAnalyzer = ErrorPatternAnalyzer()
async def track_error(
self,
error: Exception,
context: ErrorContext,
current_task: Optional[str] = None
) -> ErrorTrackingResult:
"""Track error with automatic task generation if needed."""
error_event = await self._create_error_event(error, context)
# Check for duplicate or related errors
if await self._is_duplicate_error(error_event):
return ErrorTrackingResult(
action="duplicate_detected",
existing_error_id=self._find_duplicate_error_id(error_event)
)
# Store error for tracking
self.active_errors[error_event.error_id] = error_event
# Analyze for task generation
task_generator = ErrorTaskGenerator(TaskManager())
task_result = await task_generator.analyze_and_create_task(
error, context, current_task
)
if task_result:
# Update error with generated task
updated_event = dataclasses.replace(
error_event,
generated_task=f"TASK_{task_result.task_number}"
)
self.active_errors[error_event.error_id] = updated_event
return ErrorTrackingResult(
action="task_generated",
error_id=error_event.error_id,
task_number=task_result.task_number,
priority=task_result.priority
)
return ErrorTrackingResult(
action="tracked_for_immediate_resolution",
error_id=error_event.error_id
)
```
### **Error Pattern Analysis**
```python
class ErrorPatternAnalyzer:
"""Analyzes error patterns to improve task generation and prevention."""
def __init__(self):
self.error_history: List[ErrorEvent] = []
self.pattern_cache: Dict[str, ErrorPattern] = {}
async def analyze_patterns(self) -> List[ErrorPattern]:
"""Analyze error history for patterns and trends."""
patterns = []
# Temporal patterns
temporal_patterns = self._analyze_temporal_patterns()
patterns.extend(temporal_patterns)
# Component patterns
component_patterns = self._analyze_component_patterns()
patterns.extend(component_patterns)
# Cascading patterns
cascading_patterns = self._analyze_cascading_patterns()
patterns.extend(cascading_patterns)
return patterns
def _analyze_temporal_patterns(self) -> List[ErrorPattern]:
"""Identify time-based error patterns."""
# Group errors by time windows
hourly_groups = self._group_errors_by_hour()
daily_groups = self._group_errors_by_day()
patterns = []
# Find peak error times
peak_hours = self._find_peak_error_times(hourly_groups)
if peak_hours:
patterns.append(ErrorPattern(
pattern_type="temporal_peak",
description=f"Error spikes during hours: {peak_hours}",
prevention_strategy="Implement additional monitoring during peak hours"
))
return patterns
def _analyze_component_patterns(self) -> List[ErrorPattern]:
"""Identify component-specific error patterns."""
component_errors = defaultdict(list)
for error in self.error_history:
component = error.context.component
component_errors[component].append(error)
patterns = []
for component, errors in component_errors.items():
if len(errors) > 5: # Threshold for pattern detection
common_types = self._find_common_error_types(errors)
patterns.append(ErrorPattern(
pattern_type="component_vulnerability",
component=component,
common_errors=common_types,
prevention_strategy=f"Strengthen {component} error handling and validation"
))
return patterns
```
## Integration with Task Management
### **TODO.md Integration**
```python
class TaskManager:
"""Manages task creation and TODO.md updates for error-generated tasks."""
async def add_error_task_to_tracker(
self,
task_number: int,
error_analysis: ErrorAnalysis,
error_context: ErrorContext,
parent_task: Optional[str] = None
) -> None:
"""Add error-generated task to TODO.md tracker."""
# Read current TODO.md
todo_content = await self._read_todo_file()
# Parse existing structure
todo_structure = self._parse_todo_structure(todo_content)
# Insert new task in appropriate position
new_task_entry = self._create_task_entry(
task_number=task_number,
title=f"{error_analysis.error_type.title()} Error Resolution",
priority=error_analysis.get_task_priority(),
dependencies=self._format_dependencies(parent_task),
error_context=error_context
)
# Update status overview
updated_structure = self._insert_task_entry(todo_structure, new_task_entry)
# Write updated TODO.md
updated_content = self._render_todo_structure(updated_structure)
await self._write_todo_file(updated_content)
# Log task creation
await self._log_task_creation(task_number, error_analysis)
```
### **Error-to-Task Workflow**
```python
# Example workflow for error-driven task creation
async def handle_complex_error_workflow():
"""Demonstrate error-to-task workflow."""
try:
# Some complex operation that may fail
result = await complex_agent_operation()
except AgentCreationError as e:
# Capture error context
context = ErrorContext(
component="agent_manager",
operation="create_agent",
agent_name="Agent_3",
session_id="session_123",
timestamp=datetime.utcnow(),
system_state=await capture_system_state()
)
# Track error and potentially create task
tracker = ErrorTracker()
tracking_result = await tracker.track_error(e, context, "TASK_5")
if tracking_result.action == "task_generated":
logger.info(
f"Complex error generated TASK_{tracking_result.task_number} "
f"with priority {tracking_result.priority}"
)
# Update current task to reference new error task
await update_current_task_with_dependency(
current_task="TASK_5",
new_dependency=f"TASK_{tracking_result.task_number}"
)
elif tracking_result.action == "tracked_for_immediate_resolution":
# Handle immediately in current context
logger.info(f"Handling error {tracking_result.error_id} immediately")
await handle_simple_error(e, context)
```
## Error Prevention Strategies
### **Proactive Error Detection**
```python
class ErrorPreventionSystem:
"""Proactive error detection and prevention."""
def __init__(self):
self.pattern_analyzer = ErrorPatternAnalyzer()
self.predictive_models = ErrorPredictionModels()
async def predict_potential_errors(
self,
operation: str,
context: OperationContext
) -> List[PotentialError]:
"""Predict potential errors before they occur."""
# Historical pattern analysis
historical_risks = await self.pattern_analyzer.analyze_operation_risks(
operation, context
)
# Resource constraint analysis
resource_risks = await self._analyze_resource_constraints(context)
# State consistency analysis
consistency_risks = await self._analyze_state_consistency(context)
return historical_risks + resource_risks + consistency_risks
async def implement_preventive_measures(
self,
predicted_errors: List[PotentialError]
) -> PreventionResult:
"""Implement measures to prevent predicted errors."""
measures_implemented = []
for potential_error in predicted_errors:
if potential_error.risk_level > 0.7: # High risk threshold
prevention_strategy = await self._generate_prevention_strategy(
potential_error
)
await self._implement_prevention(prevention_strategy)
measures_implemented.append(prevention_strategy)
return PreventionResult(
measures_count=len(measures_implemented),
measures=measures_implemented,
estimated_risk_reduction=self._calculate_risk_reduction(measures_implemented)
)
```
This comprehensive error management system ensures that complex errors are automatically converted to structured tasks while maintaining immediate resolution for simple issues, creating a robust foundation for systematic error handling and continuous system improvement.
