Play 90
Network Optimization Agent
Very High✅ Ready
5G/LTE capacity planning with digital twin simulation.
5G/LTE network capacity planning with AI-driven anomaly detection, self-healing automation, traffic prediction, and cell tower load balancing using digital twin simulation of network topology. IoT Hub ingests telemetry from cell towers, Stream Analytics detects anomalies in real time, OpenAI generates optimization recommendations, Digital Twins simulates network topology changes, and Cosmos DB stores network state and historical performance data.
Architecture Pattern
Network optimization pipeline: tower telemetry ingestion - anomaly detection - traffic prediction - digital twin simulation - self-healing automation
Azure Services
Azure IoT HubAzure Stream AnalyticsAzure OpenAIAzure Digital TwinsAzure Cosmos DB
DevKit (.github Agentic OS)
- agent.md — root orchestrator with builder→reviewer→tuner handoffs
- 3 agents — Network Builder (gpt-4o), Reviewer (gpt-4o-mini), Tuner (gpt-4o-mini)
- 3 skills — deploy (214 lines), evaluate (105 lines), tune (271 lines)
- 4 prompts — /deploy, /test, /review, /evaluate with agent routing
- .vscode/mcp.json — FrootAI MCP with OpenAI + IoT Hub inputs + envFile
TuneKit (AI Config)
- config/openai.json - network analysis and optimization prompts
- config/network.json - prediction horizons, anomaly sensitivity, healing triggers
- config/guardrails.json - latency thresholds, coverage minimums
- evaluation/eval.py - Prediction accuracy >90%, Self-healing success >95%
Tuning Parameters
Traffic prediction horizonAnomaly detection sensitivitySelf-healing trigger rulesLoad balancing weightsCapacity planning window
Estimated Cost
Dev/Test
$150-350/mo
Production
$5K-15K/mo