LLM Monitoring Workflows Explained

LLM monitoring workflows turn raw logs into actionable signals about latency, cost, reliability, and quality. Tools like n8n can route these signals to dashboards, alerts, and retraining pipelines.

• Track latency and error rates for each endpoint.
• Monitor token usage and cost per request.
• Sample outputs for quality scoring or human review.
• Trigger alerts when metrics cross defined thresholds.

The Automation pillar page shows how to tie these workflows into testing and data pipelines.