juliaz-debug — Cross-System Diagnostics
When something breaks in a multi-agent system, the problem is almost never where you first look. This skill provides systematic diagnostic procedures for the juliaz_agents ecosystem.
First Response: Quick Health Scan
Before diving into any specific issue, always run this first:
# 1. What's running?
pm2 list 2>&1
# 2. Docker containers
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}"
# 3. Who's on which port?
lsof -i :3000 -i :3001 -i :3002 -i :3003 -P -n 2>&1
# 4. Bridge health (the most common failure point)
curl -s http://localhost:3001/health 2>&1
# 5. Backend health
curl -s http://localhost:3000/health 2>&1
# 6. Cowork MCP health
curl -s http://localhost:3003/health 2>&1
This gives you the system state in 10 seconds. Read all results before forming a hypothesis.
Diagnostic Decision Tree
"Julia isn't responding to Telegram messages"
├── Is bridge running? (pm2 list → check bridge status)
│ ├── NO → pm2 restart bridge → test again
│ └── YES → Are there pending messages?
│ ├── Check: curl http://localhost:3001/health (look at queue counts)
│ └── Messages stuck in "pending"?
│ ├── YES → Orchestrator not polling
│ │ ├── Is orchestrator running? (pm2 list)
│ │ │ ├── NO → pm2 restart orchestrator
│ │ │ └── YES → Check orchestrator logs: pm2 logs orchestrator --lines 50
│ │ │ ├── API key error → Check .env.secrets
│ │ │ ├── Rate limit (429) → Wait; check POLL_INTERVAL_MS
│ │ │ └── Connection error → Check bridge endpoint in orchestrator config
│ └── Messages stuck in "processing"?
│ └── Orchestrator picked up but didn't reply
│ ├── Claude API timeout → Check pm2 logs orchestrator for timeout errors
│ ├── Tool execution error → Check for failed tool calls in logs
│ └── GPT-4o fallback also failed → Both APIs are down or keys expired
"Messages arrive but Julia's replies don't reach Telegram"
├── Is OpenClaw running? → openclaw health
│ ├── NO → openclaw gateway start --force
│ └── YES → Is it polling for replies?
│ ├── Check bridge: curl http://localhost:3001/health (look at openclaw heartbeat)
│ └── If stale heartbeat → OpenClaw relay skill may be broken
│ └── Check: julia/openclaw/skills/julia-relay/ for issues
"Frontend chat not working"
├── Is frontend running? → curl http://localhost:3002
├── Is frontend chat endpoint OK? → curl -X POST http://localhost:3002/api/chat
├── Check: OPENAI_API_KEY in environment (frontend uses GPT-4o)
└── Check: julia/frontend/app/api/chat/route.ts for errors
"Cowork MCP returning errors"
├── Is it running? → curl http://localhost:3003/health
├── Check API key: ANTHROPIC_API_KEY in .env.secrets
├── Check logs: pm2 logs cowork-mcp --lines 50
└── Common: 401 = bad key, 429 = rate limit, 500 = bug in tool handler
Reading Logs Effectively
PM2 Logs
# Last 50 lines for a service
pm2 logs orchestrator --lines 50
pm2 logs bridge --lines 50
# All logs, live tail
pm2 logs
# Error logs only (separate file)
# Located at: ~/.pm2/logs/<service>-error.log
What to look for in orchestrator logs:
Polling bridge...— confirms it's alive and checkingProcessing message from chatId: ...— message was picked upClaude response:— successful reply generatedFalling back to GPT-4o— Claude API failed, trying backupError:— any error with stack traceRate limitedor429— too many API callsTimeout— API call took >30s
What to look for in bridge logs:
POST /incoming— message received from OpenClawGET /pending-reply/:chatId— OpenClaw polling for repliesMCP tool call:— orchestrator calling bridge toolsQueue size:— how many messages are buffered
What to look for in cowork-mcp logs:
Tool call:— which tool was invokedAnthropic API error:— what went wrong with ClaudeTruncated response— output was over 25K chars (content lost!)
Common Failure Patterns
1. The Silent Death
Symptom: PM2 shows service as "online" but it's not actually working.
Diagnosis: Check restart count in pm2 list. If it's high (>5), the service is crash-looping.
Fix: pm2 logs <service> --lines 100 to find the crash cause. Often: missing env var, port conflict, or syntax error after a code change.
2. The Rate Limit Spiral
Symptom: Orchestrator logs show repeated 429 errors, Julia stops responding.
Diagnosis: Orchestrator has exponential backoff (up to 55s), but if POLL_INTERVAL_MS is too low, it can hammer the API.
Fix: Increase POLL_INTERVAL_MS in ecosystem config. Wait for rate limit to clear (usually 60s). The orchestrator honors Retry-After headers.
3. The Queue Jam
Symptom: Messages pile up in bridge, none get processed.
Diagnosis: curl http://localhost:3001/health — check pending count. If messages are in "processing" state, the orchestrator grabbed them but never replied.
Fix: Check orchestrator logs. If it crashed mid-processing, messages stay in "processing" forever. Manual fix: edit julia/bridge/data/queue.json and reset status to "pending".
4. The Memory Leak
Symptom: Service gradually slows down, then crashes after hours/days.
Diagnosis: Check PM2 memory usage: pm2 monit. If a service exceeds ~500MB, it's likely leaking.
Fix: PM2 has max_memory_restart — add to ecosystem config if not present. For bridge specifically, the queue.json file grows unbounded (no pruning of old replied messages).
5. The Docker Ghost
Symptom: Backend returns connection errors even though pm2 list shows everything "online".
Diagnosis: Docker containers may have stopped (Docker Desktop restart, system reboot).
Fix: docker ps to check. If containers are gone: cd julia/backend && docker compose up -d.
6. The Fallback Loop
Symptom: Julia responds but much slower than usual, and responses feel different. Diagnosis: Claude API is failing and orchestrator is falling back to GPT-4o every time. Fix: Check orchestrator logs for the specific Claude error. Common: expired API key, billing issue, or Anthropic outage. Check https://status.anthropic.com.
7. The Hardcoded Path Break
Symptom: Email sending fails, or tools that call external scripts fail.
Diagnosis: The orchestrator may have hardcoded paths that break after directory restructuring.
Fix: If running on a different machine or path, update the paths in julia/orchestrator/src/tools.ts.
Queue Inspection
The bridge queue is a JSON file. Direct inspection when the API is misbehaving:
# View queue contents
cat julia/bridge/data/queue.json | python3 -m json.tool
# Count messages by status
cat julia/bridge/data/queue.json | python3 -c "
import json, sys
q = json.load(sys.stdin)
msgs = q.get('messages', [])
from collections import Counter
c = Counter(m.get('status') for m in msgs)
for status, count in c.items():
print(f'{status}: {count}')
print(f'Total: {len(msgs)}')
"
Manually unstick messages
If messages are stuck in "processing":
# Read, modify status, write back
python3 -c "
import json
with open('julia/bridge/data/queue.json', 'r') as f:
q = json.load(f)
for m in q.get('messages', []):
if m.get('status') == 'processing':
m['status'] = 'pending'
with open('julia/bridge/data/queue.json', 'w') as f:
json.dump(q, f, indent=2)
print('Done — stuck messages reset to pending')
"
Database Diagnostics
# Check memory count
curl -s http://localhost:3000/memories | python3 -c "import sys,json; m=json.load(sys.stdin); print(f'{len(m)} memories')"
# Check task count
curl -s http://localhost:3000/tasks | python3 -c "import sys,json; t=json.load(sys.stdin); print(f'{len(t)} tasks')"
# Check usage/token consumption
curl -s http://localhost:3000/usage | python3 -c "
import sys, json
u = json.load(sys.stdin)
total = sum(r.get('totalTokens', 0) for r in u)
print(f'{len(u)} usage records, {total:,} total tokens')
"
# Check recent logs
curl -s http://localhost:3000/logs | python3 -c "
import sys, json
logs = json.load(sys.stdin)
for l in logs[-10:]:
print(f'[{l.get(\"level\",\"?\")}] {l.get(\"source\",\"?\")} — {l.get(\"message\",\"?\")[:80]}')
"
Network Connectivity Check
When services can't talk to each other:
# Test bridge from orchestrator's perspective
curl -s http://localhost:3001/health
# Test backend from bridge's perspective
curl -s http://localhost:3000/health
# Test cowork-mcp from orchestrator's perspective
curl -s http://localhost:3003/health
# Test MCP endpoint specifically
curl -s -X POST http://localhost:3001/mcp \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","method":"tools/list","id":1}'
Escalation Path
If you can't fix it with these tools:
- Check recent git changes:
git log --oneline -10— was something deployed recently? - Diff against working state:
git diff HEAD~5— what changed? - Nuclear option: Stop everything, rebuild, restart fresh:
pm2 delete all cd julia/backend && docker compose down cd julia/backend && npm run build cd julia/bridge && npm run build cd julia/orchestrator && npm run build cd julia/cowork-mcp && npm run build cd julia/frontend && npx next build cd julia/backend && docker compose up -d pm2 start ecosystem.dev.config.js openclaw gateway start --force