This commit implements Phase 3 of the CHORUS task execution engine development plan,
replacing the mock implementation with a real AI-powered task execution system.
## Major Components Added:
### TaskExecutionEngine (pkg/execution/engine.go)
- Complete AI-powered task execution orchestration
- Bridges AI providers (Phase 1) with execution sandboxes (Phase 2)
- Configurable execution strategies and resource management
- Comprehensive task result processing and artifact handling
- Real-time metrics and monitoring integration
### Task Coordinator Integration (coordinator/task_coordinator.go)
- Replaced mock time.Sleep(10s) implementation with real AI execution
- Added initializeExecutionEngine() method for setup
- Integrated AI-powered execution with fallback to mock when needed
- Enhanced task result processing with execution metadata
- Improved task type detection and context building
### Key Features:
- **AI-Powered Execution**: Tasks are now processed by AI providers with appropriate role-based routing
- **Sandbox Integration**: Commands generated by AI are executed in secure Docker containers
- **Artifact Management**: Files and outputs generated during execution are properly captured
- **Performance Monitoring**: Detailed metrics tracking AI response time, sandbox execution time, and resource usage
- **Fallback Resilience**: Graceful fallback to mock execution when AI/sandbox systems are unavailable
- **Comprehensive Error Handling**: Proper error handling and logging throughout the execution pipeline
### Technical Implementation:
- Task execution requests are converted to AI prompts with contextual information
- AI responses are parsed to extract executable commands and file artifacts
- Commands are executed in isolated Docker containers with resource limits
- Results are aggregated with execution metrics and returned to the coordinator
- Full integration maintains backward compatibility while adding real execution capability
This completes the core execution engine and enables CHORUS agents to perform real AI-powered task execution
instead of simulated work, representing a major milestone in the autonomous agent capability.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
🎭 CHORUS now contains full BZZZ functionality adapted for containers
Core systems ported:
- P2P networking (libp2p with DHT and PubSub)
- Task coordination (COOEE protocol)
- HMMM collaborative reasoning
- SHHH encryption and security
- SLURP admin election system
- UCXL content addressing
- UCXI server integration
- Hypercore logging system
- Health monitoring and graceful shutdown
- License validation with KACHING
Container adaptations:
- Environment variable configuration (no YAML files)
- Container-optimized logging to stdout/stderr
- Auto-generated agent IDs for container deployments
- Docker-first architecture
All proven BZZZ P2P protocols, AI integration, and collaboration
features are now available in containerized form.
Next: Build and test container deployment.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
