AI observability is the instrumentation that makes AI systems inspectable in production: tracing every model call and agent step, logging prompts and outputs, t
The instrumentation that makes AI systems inspectable in production: tracing every model call and agent step, logging prompts and outputs, tracking latency, token cost, and quality scores, and alerting on drift or anomalies.
It adds a behavioral-quality dimension, because AI systems fail by degrading, not just by erroring. The trace, a full record of an agent's steps, is the core debugging primitive of the agent era: when an agent misbehaves, the trace shows why.