Observability
Real runtime evidence for production AI systems.
Monitor Reliability Score, latency, throughput, errors, provider behavior, traces, request logs, Redis health, agent activity, policy outcomes, and root cause signals from live app data.
Signature reliability metricNEXUS Reliability Score combines gateway availability, latency stability, policy friction, prompt eval health, and deployment health into one operating signal.
What operations teams can see
MetricsLatency, request volume, error rate, cost, tokens, and model usage by provider and route.
Reliability ScoreComposite 0-100 score that shows whether AI is dependable, degraded, or at risk.
TracesTrace IDs connect requests to provider execution, prompts, policy decisions, and deployment context.
LogsRequest logs, render logs, runtime events, and provider errors support investigation and audits.
Provider healthTrack circuit state, availability, error mix, latency, and recent failures by provider.
Root cause analysisClassify failures across gateway logs, policy blocks, eval failures, and NEXUS AI deployments so teams see why AI failed.