Monitoring & Troubleshooting

Keeping the Support Agent System Reliable

Overview

Now that the system is fully operational, it’s critical to monitor performance and address failures gracefully. This section outlines how to track success rates, detect failed runs, debug issues with AI responses or API connections, and set up alerts to stay informed in real time.

Step-by-Step Troubleshooting & Monitoring Setup

Step 1: Enable Execution Logging in n8n

Every workflow run in n8n is logged automatically.

To improve visibility:

Turn on execution history logging in your n8n settings.
For each workflow, add an optional “Logging” branch using a Function Node that stores:
- Execution time
- Channel (Gmail, Telegram)
- Message type
- AI response status
- Escalation flag
- Confidence score from Gemini

Where to log:

Google Sheet (Support_Logs)
Airtable (Execution History)
Notion (Daily Agent Activity DB)

Step 2: Catch Failed API Responses

Use IF nodes or Error Trigger nodes in n8n to handle:

Failure Type	Action
OpenAI / Gemini timeout	Retry or fallback to alternate model
Gmail API error	Log issue, send fallback notification to team
Telegram delivery failure	Retry after delay, or alert for manual review
Vector DB fails to return	Use GPT fallback to generate response without it

✅ Always route failed interactions to a Google Sheet tab labeled Needs Review.