DEFINITION
LLM Observability
Large Language Model Observability
Definition
The practice of monitoring, logging, and analyzing LLM call behavior in production, including token usage, latency, costs, prompt/response traces, and reasoning token capture. Enables teams to understand agent behavior, debug issues, and optimize costs.
Examples in the Wild
- Example 1:Torrix logging LLM calls with token counts and latency
- Example 2:Cost forecasting based on LLM usage patterns
- Example 3:Prompt library with version history for debugging
- Example 4:AI judge evals with golden runs