Belong AI Deploy
Troubleshooting
Common Belong AI Deploy issues and how to fix them.
Troubleshooting
Common issues and how to fix them.
Deployment issues
"Server creation timed out"
- Check your cloud provider's dashboard to see whether the server was created
- Your account may have hit a resource limit — check your provider's limits
- Try a different region
"Cloud-init took too long"
- The server is still installing its runtime
- Wait a few more minutes and check the Technical details in the progress screen
- The deployment streams logs there throughout setup
"Stack deployment failed"
- Open the Technical details log in the wizard to see which step failed
- A redeploy from a clean state is usually the fastest fix — see Full redeployment below
"OVHcloud rejected these credentials"
- Confirm the wizard account endpoint matches the site where the API token was created
- Use the Public Cloud API service name, not the editable project display name
- Confirm the consumer key includes the required project and instance rules
- Follow Deploy with OVHcloud to create a replacement restricted token
Connection issues
Private-by-default deployments do not expose internal app ports to the internet. DigitalOcean, Google Cloud, and OVHcloud deployments open public 443 only when a selected channel requires inbound webhook delivery. Telegram stays private and uses outbound polling. Other providers need a separate HTTPS entrypoint.
"Can't access the dashboard"
- Make sure Tailscale is running on your device
- Check that both your device and the server are on the same Tailscale network
- Try the Tailscale IP directly:
http://100.x.x.x:3000
"Telegram bot not responding"
- Open the management dashboard first (
http://<tailscale-ip>:3000) and go to Connect AI & Messengers - Use the Agent selector to choose the right agent
- Confirm Telegram shows as configured there
- If the bot is already replying in chat, ask it to connect the missing provider there instead of pasting secrets
- Verify the bot token works: visit
https://api.telegram.org/botYOUR_TOKEN/getMe
"Pairing required" in the agent UI
- Return to the management dashboard (
:3000) and run setup from Connect AI & Messengers - Use the Agent selector to choose the affected agent
- If shown, click Fix Pairing Automatically in the setup checklist
- If pairing still fails, restart the agent from the Agents page
"WhatsApp webhook verification failed"
- Double-check the callback URL in Meta's developer console
- Verify the verify token matches the value shown in Dashboard → Connect AI & Messengers → WhatsApp
- Make sure your HTTPS entrypoint forwards to
/webhook/whatsapp/YOUR_DEPLOY_ID
AI provider issues
"OAuth token expired"
- Your agent automatically refreshes OAuth tokens
- If refresh fails, reconnect from chat by asking the bot to connect ChatGPT or Claude again, or use Connect AI & Messengers in the dashboard
"API key invalid"
- Verify the key at the provider's dashboard
- Check whether the key was revoked or expired
- Update the key from chat (if the bot is live) or in your agent's dashboard settings
For ChatGPT or Claude browser sign-in, don't paste OAuth bearer tokens as API keys. Reconnect by asking the bot to connect the provider, copy the sign-in link into Safari, Chrome, or your normal desktop browser, and paste the code it shows back to the bot.
"Model not available"
- Your subscription plan may not include the default model
- The agent automatically falls back to the next best model
- You can manually select a different model in dashboard settings
Performance issues
"Agent responding slowly"
- Consider upgrading to a larger server size
- Reduce the number of agents if you're running several
- Check your AI provider's status page for outages
"Database running out of space"
- Enable conversation pruning in Dashboard → Settings
- Run a manual cleanup with Settings → Clean up now
- Resize the server's disk via your cloud provider
Recovering from errors
Restart a single agent
From the master dashboard, find the agent card and click Restart.
Full redeployment
If things are severely broken, tear down and redeploy:
- Go to the wizard
- Click Destroy on your existing deployment
- Re-run the wizard