Runtime Overview
The reliability control plane for production AI.
NEXUS Runtime is an AI Runtime Operations Platform that separates the work of connecting providers, governing usage, managing an AI prompts repo, shipping prompt releases, measuring reliability, explaining failures, observing production behavior, and handing AI infrastructure management to NEXUS AI.
Built for platform teamsTenant-scoped controls, provider configuration, live model catalogs, prompt versions, eval gates, observability, policies, and release management in one operating model.
Core runtime functions
AI GatewayCentralize API keys, rate limits, provider credentials, live model catalogs, and routing behavior.
AI prompts repoCreate prompt versions, choose supported provider models, run tests, enforce eval gates, and deploy environments.
ObservabilityRead Reliability Score, RCA signals, metrics, traces, request logs, provider errors, Redis stats, and agent activity from the app.
AI Release ManagerTrack releases, AI change management, pipeline status, GitOps activity, and deployment handoff to NEXUS AI cloud adapters.
SecurityGovern provider access, tenant keys, PII policies, model restrictions, spend controls, and audit signals.
Production AI ReliabilityAlign AI platform, application engineering, security, and operations teams around one production workflow.
Operating model
From model access to release evidence.
Teams configure providers once, expose tenant-scoped gateway access, manage prompts in an AI prompts repo, test them on live provider models, gate AI change management with evals and policies, observe production behavior, and send AI infrastructure management requests to NEXUS AI.