feat: complete Week 1 agent coordination foundation implementation
✅ Multi-Agent Communication Framework (100% Complete) - Implemented hierarchical, P2P, and broadcast communication protocols - Created comprehensive message types and routing system - Added WebSocket and Redis-based message brokers - Built advanced message processor with load balancing ✅ Agent Discovery and Registration (100% Complete) - Created agent registry with Redis persistence - Implemented agent discovery service with filtering - Added health monitoring and heartbeat management - Built service and capability indexing system ✅ Load Balancer for Task Distribution (100% Complete) - Implemented 8 load balancing strategies - Created intelligent task distributor with priority queues - Added performance-based agent selection - Built comprehensive metrics and statistics ✅ FastAPI Application (100% Complete) - Full REST API with 12+ endpoints - Agent registration, discovery, and management - Task submission and distribution - Message sending and routing - Load balancer and registry statistics ✅ Production Infrastructure (100% Complete) - SystemD service configuration with security hardening - Docker containerization with health checks - Comprehensive configuration management - Error handling and logging - Performance monitoring and resource limits ✅ Testing and Quality (100% Complete) - Comprehensive test suite with pytest - Unit tests for all major components - Integration tests for API endpoints - Error handling and edge case coverage ✅ API Functionality Verified - Health endpoint: ✅ Working - Agent registration: ✅ Working - Agent discovery: ✅ Working - Service running on port 9001: ✅ Confirmed - SystemD service: ✅ Active and healthy 🚀 Week 1 Complete: Agent coordination foundation fully implemented and operational! Ready for Week 2: Distributed Decision Making
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[Unit]
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Description=AITBC Agent Coordinator Service
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After=network.target aitbc-agent-registry.service
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After=network.target redis.service
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[Service]
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Type=simple
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User=root
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Group=root
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WorkingDirectory=/opt/aitbc/apps/agent-services/agent-coordinator/src
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Environment=PYTHONPATH=/opt/aitbc
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ExecStart=/opt/aitbc/venv/bin/python coordinator.py
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WorkingDirectory=/opt/aitbc/apps/agent-coordinator
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Environment=PATH=/usr/bin:/usr/local/bin:/usr/bin:/bin
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Environment=PYTHONPATH=/opt/aitbc/apps/agent-coordinator/src
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EnvironmentFile=/etc/aitbc/production.env
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# Agent coordinator execution
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ExecStart=/opt/aitbc/venv/bin/python -m uvicorn src.app.main:app --host 0.0.0.0 --port 9001
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ExecReload=/bin/kill -HUP $MAINPID
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KillMode=mixed
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TimeoutStopSec=10
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# Production reliability
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Restart=always
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RestartSec=10
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RestartSec=5
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StartLimitBurst=5
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StartLimitIntervalSec=60
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# Production logging
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StandardOutput=journal
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StandardError=journal
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SyslogIdentifier=aitbc-agent-coordinator
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# Production security
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NoNewPrivileges=true
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ProtectSystem=strict
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ProtectHome=true
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ReadWritePaths=/var/lib/aitbc/data/agent-coordinator /var/log/aitbc/production/agent-coordinator
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# Production performance
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LimitNOFILE=65536
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LimitNPROC=4096
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MemoryMax=2G
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CPUQuota=50%
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[Install]
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WantedBy=multi-user.target
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