Understanding AI Observability in 2026 and Why It's Essential
TL;DR
* AI observability is the practice of collecting metrics, logs, and traces from AI systems so teams can see how models and agents behave in production, including token usage, cost, latency, tool calls, and errors.
* AI systems are non-deterministic, increasingly agentic, and billed per token, which makes observability