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OpenClaw Enterprise WeChat Robot Log Query

When your Enterprise WeChat bot misbehaves, the first question is always: "What happened?" And the answer is always in the logs — if you know how to query them.

The problem isn't that logs don't exist. It's that they're too verbose, poorly structured, and painful to search. Let's fix that with a proper log query setup for your OpenClaw Enterprise WeChat bot on Tencent Cloud Lighthouse.

Understanding Your Log Sources

Your OpenClaw bot generates logs at multiple levels:

# Systemd journal — daemon-level events
journalctl -u clawdbot

# Application logs — message processing, API calls
/var/log/clawdbot/output.log

# Error logs — failures and exceptions
/var/log/clawdbot/error.log

# Access logs — webhook requests from Enterprise WeChat
/var/log/clawdbot/access.log

Each source answers different questions:

  • "Is the bot running?" → journalctl
  • "Did it process the message?" → output.log
  • "Why did it fail?" → error.log
  • "Did the webhook even arrive?" → access.log

Essential Log Queries

Here are the queries you'll use 90% of the time:

Find errors in the last hour

journalctl -u clawdbot --since "1 hour ago" -p err --no-pager

Search for a specific user's interactions

grep "user_id=wxuser_abc123" /var/log/clawdbot/output.log | tail -20

Find all model API timeouts

grep -i "timeout\|timed out" /var/log/clawdbot/error.log | tail -20

Count messages processed today

grep "$(date +%Y-%m-%d)" /var/log/clawdbot/output.log | grep -c "msg_processed"

Find webhook delivery failures

grep "webhook.*fail\|delivery.*error" /var/log/clawdbot/output.log

Building a Log Query Tool

Instead of remembering grep patterns, build a query script:

#!/bin/bash
# /opt/clawdbot/logquery.sh
# Usage: ./logquery.sh [command] [args]

case "$1" in
  errors)
    SINCE="${2:-1 hour ago}"
    echo "=== Errors since $SINCE ==="
    journalctl -u clawdbot --since "$SINCE" -p err --no-pager
    ;;
  user)
    USER_ID="$2"
    echo "=== Activity for user $USER_ID ==="
    grep "user_id=$USER_ID" /var/log/clawdbot/output.log | tail -${3:-20}
    ;;
  stats)
    echo "=== Today's Stats ==="
    echo "Messages: $(grep "$(date +%Y-%m-%d)" /var/log/clawdbot/output.log | grep -c 'msg_processed')"
    echo "Errors: $(grep "$(date +%Y-%m-%d)" /var/log/clawdbot/error.log | wc -l)"
    echo "Unique users: $(grep "$(date +%Y-%m-%d)" /var/log/clawdbot/output.log | grep -oP 'user_id=\K[^ ]+' | sort -u | wc -l)"
    ;;
  slow)
    THRESHOLD="${2:-3000}"
    echo "=== Responses slower than ${THRESHOLD}ms ==="
    grep "response_time" /var/log/clawdbot/output.log | \
      awk -F'response_time=' '{print $2}' | \
      awk -v t="$THRESHOLD" '$1 > t {print}' | tail -20
    ;;
  tail)
    journalctl -u clawdbot -f --no-pager
    ;;
  *)
    echo "Usage: $0 {errors|user|stats|slow|tail} [args]"
    echo "  errors [since]     - Show errors (default: last hour)"
    echo "  user [user_id] [n] - Show user activity (default: last 20)"
    echo "  stats              - Show today's statistics"
    echo "  slow [ms]          - Show slow responses (default: >3000ms)"
    echo "  tail               - Follow live logs"
    ;;
esac
chmod +x /opt/clawdbot/logquery.sh

# Examples:
./logquery.sh errors "2 hours ago"
./logquery.sh user wxuser_abc123
./logquery.sh stats
./logquery.sh slow 5000

Setting Up Your Lighthouse Instance

A proper log query setup needs a properly configured server. Tencent Cloud Lighthouse gives you the OpenClaw runtime with systemd logging already wired up.

  1. Visit the Tencent Cloud Lighthouse OpenClaw page to get started.
  2. Select the "OpenClaw (Clawdbot)" application template under "AI Agents".
  3. Deploy by clicking "Buy Now" — logs are captured from the moment your bot starts.

Advanced: Query Logs via the Bot Itself

Here's a power move: let admins query logs through the Enterprise WeChat bot:

# Add a log-query skill for admins only
skills:
  log-query:
    enabled: true
    permission: admin_only
    description: "Query bot logs via chat commands"
    commands:
      "/logs errors": "Show recent errors"
      "/logs user [id]": "Show user activity"
      "/logs stats": "Show daily statistics"

An admin types /logs errors in Enterprise WeChat, and the bot runs the query on the server and returns the results — no SSH required.

Log Retention and Cleanup

Don't let logs eat your disk:

# Check current log disk usage
du -sh /var/log/clawdbot/

# Set up automatic cleanup
cat > /etc/logrotate.d/clawdbot <<'EOF'
/var/log/clawdbot/*.log {
    daily
    rotate 30
    compress
    delaycompress
    missingok
    notifempty
    copytruncate
}
EOF

Wrapping Up

Log queries are your first line of defense when something goes wrong. With a proper query toolkit, you go from "I have no idea what happened" to "I found the issue" in under a minute.

Build on the right foundation:

  1. Visit https://www.tencentcloud.com/act/pro/intl-openclaw for the optimized OpenClaw environment.
  2. Select the "OpenClaw (Clawdbot)" template under "AI Agents".
  3. Deploy and start querying your way to operational confidence.

The best debugging tool is a well-structured log.