The integration is one line. The part worth planning is the rollout: shadow the router against live traffic, read the proof, then move the percentage up when the numbers convince you.
NeuroRoute speaks the OpenAI Chat Completions API. Any SDK, framework or agent runtime that already targets it works without modification.
Sign up with Google or email, create a key scoped to a role, and copy it — it is shown once.
Change the base URL and swap the key. Streaming, tools, vision and structured outputs behave identically.
Paste provider keys to run BYOK — each one is validated with a zero-cost test call before it is stored — or leave it empty and route on managed keys.
Nobody should move production traffic on a promise. The recommended path proves the savings on your own workload before a single user is affected.
Mirror live requests to the router without using its responses. You get the full decision log and a savings projection on real traffic, at no cost.
Route a percentage — usually 5% — and compare quality signals side by side against your existing model.
Increase the share workload by workload. Classification and extraction first, reasoning last.
Lock the policy: allow-lists, quality floors, spend caps per key, and alerts on drift.
SISL CloudWorx builds and operates NeuroRoute. Security questionnaires, architecture reviews and pilot scoping are handled by the same engineers who run the gateway.
Thirty minutes on your workload mix, your quality bar, and a realistic savings range before you commit to anything.
Architecture diagrams, sub-processor list and DPA, sent under NDA on request.
API reference, routing policy schema, migration guides and OpenTelemetry integration.
No credit card for the free tier. Shadow mode costs nothing and answers the only question that matters.
