Make LLM APIs behave like infrastructure
Teams shipping on OpenAI, Anthropic and Gemini inherit two problems they never chose: context that silently grows into a cost line, and models that change underneath a working prompt. DriftWatch AI sits in front of that traffic as a context firewall — pruning what does not matter, enforcing the output contract you declared, and telling you the moment behaviour shifts.
Architecture overview
Edge ingress
Requests hit the nearest edge region and are matched to your project keys in under a millisecond.
Context optimizer
Redundant history, dead tool definitions and duplicated system text are pruned before the upstream call.
Schema guardrail
Responses are validated against your JSON rules, either strictly enforced or logged and alerted.
Drift telemetry
Every response is scored so provider-side model updates surface as alerts, not as user-visible bugs.
Core security values
Payload minimalism
We store metrics and metadata by default. Full payload capture is opt-in and retention is bounded by your plan.
Fail open, never silently
If the proxy cannot validate, traffic still flows and you get an alert — availability beats a clever error.
Boring infrastructure
12ms median overhead, no SDK lock-in, one base-URL change to adopt and one to leave.