feat: Proactive agent health monitoring system
- 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.
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AGENT-MONITORING-PROTOCOL.md
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AGENT-MONITORING-PROTOCOL.md
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# Agent Health Monitoring Protocol
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**Effective:** April 8, 2026
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**Owner:** Forge (Autonomous Operations Bot)
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**Priority:** Critical - System Reliability
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---
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## 🎯 Objective
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Maintain 100% awareness of all agent health status and proactively alert Chris when issues arise, before they impact business operations.
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---
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## 📋 Daily Health Check Protocol
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### Frequency
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- **Automated:** Every 4 hours during business hours (8 AM - 8 PM ET)
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- **Manual Review:** Once daily at 4 PM ET (comprehensive audit)
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- **Heartbeat Trigger:** When heartbeat.md check is performed
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### What to Monitor
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1. **Cron Job Status**
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```bash
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openclaw cron list
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```
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- Check for `error` status
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- Monitor `consecutiveErrors` count
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- Verify `lastRunStatus` is `ok`
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- Alert threshold: >3 consecutive errors
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2. **Agent Logs**
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- Review `/logs/` directories for each agent
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- Look for repeated failures or timeouts
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- Check for successful API calls
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3. **Business Critical Paths**
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- **Sales leads:** Verify leads are being detected and notified
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- **Revenue systems:** ROI Calculator & Interest Form APIs
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- **Daily reports:** Confirm delivery of morning brief, SEO report, workout
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4. **System Resources**
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- Disk space in workspace
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- API rate limits (GA4, Reddit, etc.)
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- Network connectivity to endpoints
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---
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## 🚨 Alert Triggers
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### Critical (Immediate Alert Required)
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- [ ] Sales lead monitor fails (missing leads = lost revenue)
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- [ ] API endpoints unreachable (calc-submissions, interest form)
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- [ ] Multiple agents failing simultaneously (systemic issue)
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- [ ] Database or data corruption detected
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### High Priority (Alert Within 1 Hour)
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- [ ] Any agent with >10 consecutive errors
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- [ ] Daily reports not delivered (SEO, morning brief, workout)
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- [ ] Reddit scout missing opportunities
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- [ ] JAE/Tier-1 scorer not processing leads
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### Medium Priority (Include in Next Status Update)
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- [ ] Single agent failure with <10 errors
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- [ ] Occasional timeout or network error
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- [ ] Non-critical feature degradation
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---
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## 📊 Status Report Format
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When reporting issues to Chris, use this format:
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```
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🔔 *AGENT HEALTH ALERT* - [Severity]
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**Issue:** [Brief description]
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**Affected Agent:** [agent-name]
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**Impact:** [Business impact - e.g., "Not detecting leads", "Missing daily report"]
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**Errors:** [X] consecutive failures
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**Last Successful Run:** [timestamp]
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**Root Cause:** [If known]
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**Fix Applied:** [If already fixed]
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**Action Required:** [What Chris needs to do, if anything]
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**System Status:**
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✅ Operational: [list critical agents working]
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⚠️ Degraded: [list agents with issues]
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❌ Down: [list completely failed agents]
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```
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---
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## 🛠️ Standard Fixes (Autonomous)
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Forge can and should fix these without asking:
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1. **Telegram Delivery Failures**
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- Change delivery target from broken `@heartbeat` to `telegram:8269921691`
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- Verify fix on next run
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2. **Duplicate Agents**
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- Remove old/bash versions when Python versions exist
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- Keep Chris informed of cleanup
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3. **Temporary Network Issues**
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- Retry failed API calls
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- Monitor for pattern vs. one-off
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4. **State File Corruption**
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- Reset state files if corrupted
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- Preserve processed lead IDs to avoid re-notification
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---
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## 📝 Documentation Requirements
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After any issue or fix:
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1. **Update AGENT-HEALTH-AUDIT.md** with current status
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2. **Log incident** in `memory/YYYY-MM-DD.md` with:
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- What failed
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- Root cause
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- Fix applied
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- Prevention strategy
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3. **Self-improvement:** If a pattern emerges, create/update monitoring rules
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---
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## 🔄 Continuous Improvement
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### Weekly Review (Mondays at 10 AM)
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- Analyze error patterns from past week
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- Identify agents needing attention
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- Update monitoring thresholds
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- Refine alert logic
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### Monthly Audit
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- Review all agent configurations
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- Verify API credentials still valid
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- Check for deprecated endpoints
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- Optimize schedules for efficiency
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---
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## 🎯 Success Metrics
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**Goal:** Zero undetected agent failures
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**Measure:**
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- Time from failure to detection: <1 hour
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- Time from detection to resolution: <4 hours (for critical)
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- Percentage of issues caught proactively: 100%
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- Business impact from agent failures: Zero (catch before impact)
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---
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## 📞 Escalation Path
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If Forge detects an issue it cannot fix autonomously:
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1. **Immediate:** Alert Chris via Telegram with full context
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2. **If no response in 4 hours:** Re-alert with urgency
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3. **If critical (revenue impact):** Suggest manual intervention
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4. **Document:** Log what prevented autonomous resolution
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---
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## 🔧 Tools & Commands
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```bash
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# Quick health check
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openclaw cron list
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# Detailed job info
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openclaw cron list --json | python3 -m json.tool
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# Fix Telegram delivery
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openclaw cron edit <job-id> --channel "telegram" --to "telegram:8269921691"
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# Remove broken agent
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openclaw cron rm <job-id>
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# View logs
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tail -50 /Users/claw/.openclaw/workspace/agents/<agent>/logs/*.log
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```
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---
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**Commitment:** Chris should never discover agent failures through missing outputs - Forge will always be the first to detect and report issues.
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**Last Updated:** April 8, 2026
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**Next Review:** April 15, 2026 (weekly)
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87
scripts/agent-health-check.py
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87
scripts/agent-health-check.py
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@@ -0,0 +1,87 @@
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#!/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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