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Profa 71e2df0f9d feat: Complete Agentic QE Fleet v2.1 implementation (closes #101)
## Implemented Features

### Error Recovery Enhancement (Task 1.3)
- CircuitBreaker class with state management (CLOSED/OPEN/HALF_OPEN)
- RetryStrategy with exponential/linear/constant backoff
- RecoveryOrchestrator with 6 recovery strategies
- Transport fallback mechanisms

### Dynamic Skill Loader (Task 2.2)
- Metadata-only initial loading (98% token reduction)
- On-demand full skill retrieval
- LRU caching with configurable TTL (30min default)
- Preload suggestions for critical workflows

### Swarm Learning Optimizer (Task 4.1)
- Topology recommendation engine (hierarchical/mesh/ring/star)
- Agent allocation with capability matching and load balancing
- Bottleneck detection (agent/memory/coordination/IO)
- Real-time performance adjustments
- Added getLatestRecommendation() method

### Workflow Orchestrator (Task 4.2)
- AdaptiveScheduler with dynamic strategy selection
- Priority-based task queue with age boosting
- Task dependency resolution
- Work stealing and backpressure handling
- Added getQueueDepth() and getStatus() methods

### Unified Memory Coordinator (Task 4.3)
- Consolidated memory managers (SQLite, AgentDB, Vector, JSON)
- Automatic failover chain with health monitoring
- Batch operations and namespace isolation
- Periodic sync between backends

### SwarmCoordinator Improvements
- Real CPU utilization tracking via process.cpuUsage()
- Queue depth from WorkflowOrchestrator
- Optimizer recommendations in feedback data
- Calculated average complexity from metrics

## Additional Changes
- Migration documentation and test restructuring plan
- GitHub issue templates and workflows
- Test suite improvements and cleanup

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-02 15:02:30 +00:00
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