← All terms
Infrastructure
Observability
Recording prompt/response pairs, latency, cost, and quality signals from production.
AI observability records every prompt, every response, latency, token cost, and user feedback signal — usually with PII redaction. The goal is to detect silent quality degradation before users do, debug specific failures, and feed real production traffic back into the eval harness for continuous evaluation. LangSmith, Braintrust, and Phoenix are common choices in 2026.
Building with Observability?
We ship production AI systems built around concepts like this every quarter. Send a brief and get a written proposal in 48 hours.
Send a brief →