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# 🎯 SupervisorAgent Base Implementation
## 📋 **Task Overview**
**Task ID**: Task-1.1.1
**Phase**: Phase 1 - Core Enhancement
**Priority**: Critical
**Duration**: 2 weeks
**Owner**: AI Agent Team
## 🎯 **Objective**
Complete the multi-agent architecture by implementing the missing SupervisorAgent for quality assurance and error recovery coordination.
## 📊 **Current Status**
- **Missing entirely** - This is the biggest architectural gap in the current implementation
- SimplePlannerAgent and McpExecutorAgent are production-ready (516+ tests, 99.8% pass rate)
- Need coordination layer for multi-agent workflows
## 📋 **Requirements**
- [ ] SupervisorAgent class with monitoring capabilities
- [ ] Integration with existing SimplePlannerAgent and McpExecutorAgent
- [ ] Error detection and categorization system enhancement
- [ ] Quality metrics collection and analysis beyond current executor metrics
- [ ] Comprehensive unit and integration tests
## 💻 **Implementation Details**
```python
class SupervisorAgent:
"""Quality assurance and coordination agent for multi-agent workflows."""
def __init__(self, planner: SimplePlannerAgent, executor: McpExecutorAgent):
self.planner = planner
self.executor = executor
self.quality_monitor = QualityMonitor()
self.error_recovery = ErrorRecoverySystem()
def supervise_execution(self, plan: PlannedStep, inputs: dict) -> SupervisedResult:
"""Monitor and supervise plan execution with quality assurance."""
def diagnose_execution_quality(self, result: dict) -> QualityAssessment:
"""Analyze execution results for quality and suggest improvements."""
def coordinate_error_recovery(self, error_context: ErrorContext) -> RecoveryPlan:
"""Coordinate error recovery across multiple agents."""
```
## ✅ **Acceptance Criteria**
- [ ] SupervisorAgent class implemented in `agents/supervisor/supervisor.py`
- [ ] Quality monitoring framework integrated
- [ ] Error recovery coordination functional
- [ ] Integration tests with existing agents pass
- [ ] Maintains existing 99.8% test pass rate
- [ ] Documentation updated with supervisor architecture
## 🔗 **Dependencies**
- Builds on existing agent infrastructure (SimplePlannerAgent, McpExecutorAgent)
- No blocking dependencies - can start immediately
## 📈 **Success Metrics**
- 95%+ quality score for supervised executions
- Error recovery success rate > 90%
- Integration with existing agents seamless
## 🏷️ **Tags**
agent-architecture, quality-assurance, phase-1, critical-priority
## 📂 **File Structure**
```
agents/
supervisor/
__init__.py
supervisor.py
quality_monitor.py
error_recovery.py
tests/
agents/
supervisor/
test_supervisor.py
test_quality_monitor.py
test_error_recovery.py
``` |