EVALS & OBSERVABILITY • 249 / 397
Measure whether the AI is good and trace where it fails.
Observability
Observability is visibility into an AI system’s behavior through metrics, logs, traces and quality signals.
Think of it like
Think of Observability like testing and telemetry for any production service: quality must be measured, not guessed.
Real life
Teams use Observability to decide whether a new release is safer, faster or more useful.
SRE lens
You need model latency, tool latency, token usage and failure rates, not just HTTP uptime.
Remember thisObservability is visibility into an AI system’s behavior through metrics, logs, traces and quality signals.