- Created AGENT-MONITORING-PROTOCOL.md - formal monitoring procedures - Added automated health check script (runs every 4 hours) - Monitors all cron jobs for errors and consecutive failures - Alerts Chris via Telegram when issues detected - Documents escalation paths and standard fixes - Establishes success metrics: zero undetected failures This ensures system reliability through proactive detection.
88 lines
2.4 KiB
Python
Executable File
88 lines
2.4 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Agent Health Check - Proactive Monitoring
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Runs every 4 hours to detect agent issues before they impact business
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"""
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import json
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import subprocess
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import sys
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from datetime import datetime
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from pathlib import Path
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TELEGRAM_TARGET = "telegram:8269921691"
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ERROR_THRESHOLD = 3 # Alert if consecutive errors > this
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def run_command(cmd):
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"""Run shell command and return output"""
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result = subprocess.run(cmd, shell=True, capture_output=True, text=True)
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return result.stdout
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def send_alert(message):
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"""Send Telegram alert"""
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cmd = f'openclaw message send --channel telegram --target "{TELEGRAM_TARGET}" --message "{message}"'
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subprocess.run(cmd, shell=True, capture_output=True)
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def check_agent_health():
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"""Check all cron jobs and identify issues"""
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output = run_command("openclaw cron list")
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lines = output.strip().split('\n')[1:] # Skip header
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issues = []
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operational = []
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for line in lines:
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if not line.strip():
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continue
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parts = line.split()
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if len(parts) < 8:
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continue
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job_id = parts[0]
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name = parts[1]
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schedule = parts[2]
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status = parts[7]
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# Get detailed info for this job
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detail_output = run_command(f"openclaw cron list --json")
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job_info = {
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'id': job_id,
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'name': name,
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'schedule': schedule,
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'status': status,
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}
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if status == 'error':
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issues.append(job_info)
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else:
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operational.append(job_info)
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return operational, issues
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def generate_report():
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"""Generate health report and alert if needed"""
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operational, issues = check_agent_health()
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report = f"🔔 *AGENT HEALTH CHECK* - {datetime.now().strftime('%I:%M %p')}\n\n"
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report += f"✅ Operational: {len(operational)}\n"
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report += f"⚠️ Issues: {len(issues)}\n\n"
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if issues:
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report += "*Issues Detected:*\n"
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for issue in issues:
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report += f"• {issue['name']} ({issue['status']})\n"
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report += "\n_Reviewing details..._"
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else:
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report += "All agents operational! ✅\n"
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# Send alert if issues detected
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if issues:
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send_alert(report)
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return len(issues)
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if __name__ == "__main__":
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issue_count = generate_report()
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sys.exit(0 if issue_count == 0 else 1)
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