OpenClaw QQ Robot Status Monitoring

The worst way to find out your QQ bot is down? A user telling you. The second worst? Checking manually every few hours. Proper status monitoring means you know about problems before anyone else does — and ideally, the system fixes itself before you even wake up.

What to Monitor

Your OpenClaw QQ bot has four critical health dimensions:

Dimension	Metric	Healthy Range
Availability	Process running, port open	Always up
Performance	Response time	< 3 seconds p95
Resources	CPU, memory, disk	< 80% utilization
Functionality	Successful message processing	> 99% success rate

The Monitoring Stack

On Tencent Cloud Lighthouse, build a lightweight monitoring system using shell scripts and cron — no Prometheus required:

#!/bin/bash
# /opt/clawdbot/monitor.sh
# Comprehensive status check — runs every minute

TIMESTAMP=$(date +%Y-%m-%dT%H:%M:%S)
STATUS_FILE="/opt/clawdbot/data/status.json"

# Process check
PROCESS_UP=$(systemctl is-active --quiet clawdbot && echo "true" || echo "false")

# Port check
PORT_OPEN=$(ss -tlnp | grep -q ":8080" && echo "true" || echo "false")

# Memory (MB)
MEM_MB=$(ps -o rss= -p $(pgrep -f clawdbot 2>/dev/null) 2>/dev/null | awk '{print int($1/1024)}')
MEM_MB=${MEM_MB:-0}

# CPU (%)
CPU_PCT=$(ps -o %cpu= -p $(pgrep -f clawdbot 2>/dev/null) 2>/dev/null | awk '{print int($1)}')
CPU_PCT=${CPU_PCT:-0}

# Disk usage (%)
DISK_PCT=$(df /opt/clawdbot | tail -1 | awk '{print $5}' | tr -d '%')

# Recent errors (last 5 min)
RECENT_ERRORS=$(journalctl -u clawdbot --since "5 min ago" -p err --no-pager 2>/dev/null | wc -l)

# Messages processed (last 5 min)
RECENT_MSGS=$(journalctl -u clawdbot --since "5 min ago" --no-pager 2>/dev/null | grep -c "msg_processed")

# Write status
cat > "$STATUS_FILE" <<EOF
{
  "timestamp": "$TIMESTAMP",
  "process_running": $PROCESS_UP,
  "port_open": $PORT_OPEN,
  "memory_mb": $MEM_MB,
  "cpu_percent": $CPU_PCT,
  "disk_percent": $DISK_PCT,
  "recent_errors": $RECENT_ERRORS,
  "recent_messages": $RECENT_MSGS,
  "health": "$([ "$PROCESS_UP" = "true" ] && [ "$MEM_MB" -lt 800 ] && [ "$DISK_PCT" -lt 80 ] && echo "healthy" || echo "degraded")"
}
EOF

Add to crontab:

* * * * * /opt/clawdbot/monitor.sh

Status Dashboard via HTTP

Expose the status as a simple HTTP endpoint:

# Quick status server using Python
cat > /opt/clawdbot/status-server.py <<'EOF'
from http.server import HTTPServer, SimpleHTTPRequestHandler
import json, os

class StatusHandler(SimpleHTTPRequestHandler):
    def do_GET(self):
        if self.path == '/status':
            try:
                with open('/opt/clawdbot/data/status.json') as f:
                    data = f.read()
                self.send_response(200)
                self.send_header('Content-Type', 'application/json')
                self.end_headers()
                self.wfile.write(data.encode())
            except:
                self.send_response(503)
                self.end_headers()
        else:
            self.send_response(404)
            self.end_headers()

HTTPServer(('0.0.0.0', 9090), StatusHandler).serve_forever()
EOF

Now you can check status from anywhere: curl http://YOUR_LIGHTHOUSE_IP:9090/status

Alert Escalation

Different severity levels need different responses:

#!/bin/bash
# /opt/clawdbot/alert.sh
STATUS=$(cat /opt/clawdbot/data/status.json)
HEALTH=$(echo "$STATUS" | jq -r '.health')
PROCESS=$(echo "$STATUS" | jq -r '.process_running')
MEM=$(echo "$STATUS" | jq -r '.memory_mb')
ERRORS=$(echo "$STATUS" | jq -r '.recent_errors')

# CRITICAL: Process down
if [ "$PROCESS" = "false" ]; then
  echo "[CRITICAL] Bot process is DOWN. Attempting restart..."
  sudo systemctl restart clawdbot
  # Send alert
fi

# WARNING: High memory
if [ "$MEM" -gt 700 ]; then
  echo "[WARNING] Memory usage: ${MEM}MB"
fi

# WARNING: Error spike
if [ "$ERRORS" -gt 20 ]; then
  echo "[WARNING] $ERRORS errors in last 5 minutes"
fi

Getting Your Monitoring Infrastructure

Monitoring only works if the monitoring system itself is reliable. Running it on the same Lighthouse instance as your bot is fine for single-instance setups.

Visit the Tencent Cloud Lighthouse OpenClaw page to provision your instance.
Select the "OpenClaw (Clawdbot)" application template under "AI Agents".
Deploy by clicking "Buy Now" — monitoring scripts run alongside your bot.

Historical Trend Tracking

Append status snapshots to a history file for trend analysis:

# Add to the monitor.sh script
cat /opt/clawdbot/data/status.json >> /opt/clawdbot/data/status-history.jsonl

Analyze trends:

# Average memory over the last 24 hours
tail -1440 /opt/clawdbot/data/status-history.jsonl | \
  jq -r '.memory_mb' | awk '{sum+=$1;n++} END{print "Avg memory: " sum/n "MB"}'

# Error trend
tail -1440 /opt/clawdbot/data/status-history.jsonl | \
  jq -r '.recent_errors' | awk '{sum+=$1} END{print "Total errors (24h): " sum}'

Self-Healing Actions

Go beyond alerting — automate the fix:

# Auto-restart on crash (already handled by systemd)
# Auto-cleanup on high disk
if [ "$DISK_PCT" -gt 85 ]; then
  find /var/log/clawdbot/ -name "*.log.gz" -mtime +7 -delete
  journalctl --vacuum-time=3d
fi

# Auto-restart on memory leak
if [ "$MEM" -gt 900 ]; then
  sudo systemctl restart clawdbot
fi

The Monitoring Mindset

Monitoring isn't a one-time setup — it's a living system that evolves with your bot. Start simple, add complexity as needed, and always ask: "Would this alert wake me up at 3 AM? If so, can the system fix it automatically?"

Visit https://www.tencentcloud.com/act/pro/intl-openclaw for the optimized OpenClaw environment.
Select the "OpenClaw (Clawdbot)" template under "AI Agents".
Deploy and build a monitoring system that lets you sleep.

Monitor everything. Alert wisely. Automate relentlessly.