LLM Observability
AI & LLM Glossary
What is LLM Observability?
LLM Observability: LLM observability is the practice of monitoring, tracking, and analyzing LLM usage including costs, latency, errors, and quality.
LLM Observability Explained
LLM observability goes beyond traditional APM to track AI-specific metrics. This includes token usage, costs per feature, latency percentiles, error rates, and output quality. Tools like Burnwise provide dashboards, alerts, and optimization recommendations. Observability is essential for managing AI costs at scale.