Docs
Inferix documentation
Inferix is the control plane for AI inference and agents. Observe every call, route by policy, detect quality drift, and retrain when signal says so. It sits next to your gateway and traces — not instead of them.
The loop
Platform teams run one control plane in front of owned models and providers. Traffic flows through the same path every time:
- LensAI — latency, cost, errors, volume
- TraceForge — spans across tools, models, and agent steps
- RouteIQ — policy: which model handles this call
- DriftWatch — quality slips before users complain
- FineForge — fine-tune, promote, or roll back
Get started
Operate
- ConfigurationFull inferix.yaml reference for models, routing, observe, and drift.
- ObservabilityLensAI metrics and TraceForge spans together.
- Routing policiesRouteIQ defaults, cheap SLMs, strong paths, tenant rules.
- Drift & retrainDriftWatch signals and FineForge promote / rollback.
- API referenceChat completions, health, models, traces, policies, alerts.
- SDKs & clientsPython, JS, Go patterns and OpenTelemetry for TraceForge.
Products
- LensAISee latency, cost, errors, and volume across models and agents.
- TraceForgeFollow one request across tools, models, and agent steps.
- RouteIQSend each call to the right owned model or provider by policy.
- DriftWatchAlert when quality slips — before users complain.
- FineForgeTurn drift into a fine-tune job you can ship or roll back.
Guides
Practical agent and operator playbooks — from support CX and incident SRE to voice, API healing, and owned SLMs.
Who this is for
Platform and ML ops teams who own inference cost, quality, and agent reliability. If you already have a gateway or an APM, Inferix sits next to them and closes the observe → route → drift → retrain loop.
Run the control plane locally and send your first call.
Quick start →