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Add AI-powered RPC health monitoring and adaptive response system#100

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Clawue884 wants to merge 27 commits intoPiNetwork:mainfrom
Dapuraset:main
Open

Add AI-powered RPC health monitoring and adaptive response system#100
Clawue884 wants to merge 27 commits intoPiNetwork:mainfrom
Dapuraset:main

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🚀 Overview

This PR introduces an AI-powered monitoring and adaptive response system for Pi Network RPC infrastructure.

It enhances node reliability, observability, and resilience by analyzing real-time health data and triggering intelligent actions.


🔍 Key Features

🧠 AI Health Analysis

  • Real-time RPC health monitoring via "getHealth"
  • Risk scoring and anomaly detection (ML-ready)
  • Adaptive classification: SAFE / MEDIUM / HIGH

🔁 Intelligent Response Engine

  • Automatic RPC failover (multi-endpoint rotation)
  • Dynamic request throttling
  • Smart contract trigger for critical risk scenarios

🤖 Alert System

  • Telegram alerts for HIGH-risk conditions
  • Real-time notification for network anomalies

📊 Observability Layer

  • "/metrics" endpoint for monitoring tools
  • Grafana-ready integration for dashboards
  • Structured output for analytics pipelines

🏗 Architecture

Pi RPC → Health Check → AI Oracle → Decision Engine → Actions

┌───────────────┬───────────────┬─────────────────┐
│ Telegram Alert│ RPC Failover │ Smart Contract │
└───────────────┴───────────────┴─────────────────┘


📈 Benefits

  • Improves network reliability and uptime
  • Enables adaptive infrastructure behavior
  • Provides real-time insights into network conditions
  • Extensible for future ML and predictive analytics

🔧 Files Added

  • "services/piHealth.js"
  • "oracle/aiOracle.js"
  • "engine/actionEngine.js"
  • "ml/anomalyModel.js"
  • "services/rpcManager.js"
  • "routes/metrics.js"
  • "alerts/telegramAlert.js"
  • "blockchain/contractTrigger.js"

🧠 Vision

This module introduces a foundation for an intelligent, self-adaptive infrastructure layer within the Pi Network ecosystem.


🔥 Built to evolve into a full AI-driven blockchain observability and protection system.

This contribution aims to move Pi infrastructure towards intelligent, self-healing systems.

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