genpark-distributed-agent-heartbeat-liveness-watchdog-skill

Distributed Agent Fleet Heartbeat & Liveness Watchdog. Monitors heartbeat signals across distributed autonomous agent nodes, dynamically computes jitter-aware failover deadlines ($T_{\text{timeout}} = \mu + 3\sigma$), isolates zombie/stalled workers, and coordinates state checkpoint hydration and failover rerouting.

🌟 Key Features

• 100% Zero External Dependencies: Runs entirely on the Python 3.9+ standard library.
• Model Context Protocol (MCP) Standard: Native support for JSON-RPC 2.0 initialize, tools/list, and tools/call.
• Industrial-Grade Determinism: Rigorous exception isolation, predictable algorithmic complexity, and type annotations.
• Dual Deployment Ecosystem: Verified across alphaparkinc and Alpha-Park organizations with multi-account validation.

🚀 Quick Start

1. Direct Python SDK Usage

"""Example usage for DistributedAgentHeartbeatLivenessWatchdog."""
import sys
import json
import time
from client import DistributedAgentHeartbeatLivenessWatchdog

sys.stdout.reconfigure(encoding='utf-8')

def main():
    print("=== Distributed Agent Fleet Liveness & Failover Watchdog Demo ===")
    watchdog = DistributedAgentHeartbeatLivenessWatchdog(baseline_timeout_seconds=5.0)

    # 1. Register fleet workers with regular heartbeat pulses
    print("\n--- 1. Ingesting Agent Heartbeat Pulses ---")
    watchdog.record_heartbeat("workbuddy_worker_01", "HEALTHY", cpu_load_pct=22.5, active_task_id="TASK-EXPORT-PPT")
    watchdog.record_heartbeat("workbuddy_worker_02", "HEALTHY", cpu_load_pct=34.1, active_task_id="TASK-AUDIT-MERKLE")
    print(f"Registered {len(watchdog.workers)} active fleet workers.")

    # 2. Audit fleet health (all operational)
    print("\n--- 2. Auditing Fleet Health Status ---")
    health = watchdog.audit_fleet_health()
    print(f"Fleet Status: {health['fleet_status']} (Healthy: {health['healthy_workers_count']}/{health['total_workers']})")

    # 3. Simulate sudden unresponsiveness on worker 01
    print("\n--- 3. Simulating Node Timeout / Zombie Worker ---")
    watchdog.workers["workbuddy_worker_01"]["last_heartbeat"] = time.time() - 15.0
    degraded_health = watchdog.audit_fleet_health()
    print(f"Fleet Status: {degraded_health['fleet_status']} | Stalled Workers: {degraded_health['zombie_workers_count']}")
    for z in degraded_health["zombie_workers"]:
        print(f"  [Zombie Alert]: Node @{z['agent_id']} stalled for {z['elapsed_since_heartbeat_seconds']}s (Task: {z['stalled_task_id']})")

    # 4. Trigger automated failover task migration
    print("\n--- 4. Executing Failover Lease Migration ---")
    failover = watchdog.trigger_worker_failover("workbuddy_worker_01", backup_agent_id="workbuddy_worker_02")
    print(f"Failover Token: {failover['failover_token']}")
    print(f"Migrated Task '{failover['migrated_task_id']}' to Worker @{failover['assigned_backup_agent_id']}")

if __name__ == "__main__":
    main()

2. Run as Model Context Protocol (MCP) Server

Start standard JSON-RPC 2.0 server over stdio:

python mcp_server.py

Execute embedded test harness:

python mcp_server.py --test

🛠️ MCP Tool Specification

Inspect skill.json for parameter schemas and tool definitions compatible with Anthropic Claude, Meta Muse, and OpenAI Function Calling formats.

📜 License

Licensed under the MIT License. Copyright © 2026 GenPark AI.