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LLM Monitoring v2 — From Logging to Predictive Observability

15. 08. 2025 Updated: 24. 03. 2026 1 min read CORE SYSTEMSai
LLM Monitoring v2 — From Logging to Predictive Observability

Logging LLM calls is baseline. In 2025: real-time quality scoring, embedding drift detection, predictive alerting.

Beyond Logging

  • Real-time quality: Every response scored inline
  • Embedding drift: Auto-detect changes in query distribution
  • Predictive cost: Forecast AI spending
  • User satisfaction: Correlation of feedback vs quality scores

Stack 2025

Langfuse for tracing. Arize Phoenix for evaluations. Grafana for business metrics. PagerDuty for alerts.

Alert Fatigue

Quality drop >10% sustained 1h → alert. Cost spike >50% → alert. Error rate >5% → immediate. Everything else → daily digest.

Observability Is the New Testing

In the non-deterministic LLM world, production monitoring is more important than pre-production testing.

llm monitoringobservabilityai opsproduction
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