Users find the bad output first
Without runtime checks, a hallucinated claim or a leaked PII field ships straight to production — and you hear about it from a support ticket, not a dashboard.
SolutionsCatch bad outputs
Control Cost & Risk
Catch bad outputs
before your users do.
Apply pre- and post-generation policy checks consistently. PII redaction, content filtering, bias detection, and grounding verification stay close to the runtime path.
Start with your domainKeep ownership and runtime context with the team that operates the capability.
Expose a clear contractIntegrate through a named intent instead of coupling product code to prompts.
Improve from evidenceTest and observe the same execution path your application calls.
Where teams get stuck
The prototype is easy. The operating model is not.
Production problems appear when prompts, provider logic, policy checks, and debugging are split across application services with no shared owner.
Policy checks bolted onto app code drift
Guardrails written into your application layer get skipped by new endpoints, forgotten during refactors, and inconsistently applied across teams.
Safety and latency feel like a trade-off
Heavyweight compliance scanning that blocks the response stream makes teams cut corners on checks just to hit a latency target.
Production pattern
A direct path from business outcome to callable AI.
LiyaEngine keeps the capability surface simple while the infrastructure behind it remains governed and observable.
01
Own the capability
Create a tenant-owned domain and define the intent contract your product needs.
02
Connect the context
Link knowledge, tools, model configuration, and policies without changing the application interface.
03
Test the behavior
Run representative requests, review structured output, and inspect the full execution path.
04
Operate with evidence
Use traces, evaluations, usage, and cost context to improve the capability after launch.
How LiyaEngine helps
Move infrastructure out of the product code path.
Guardrails run inside the engine rather than as a library each application team has to wire independently. Pre-generation checks can reject unsafe input before model execution, while post-generation checks validate the returned result.
PII redaction, bias detection, content filtering, and grounding verification produce inspectable decisions so teams can review why a request passed, was flagged, or was blocked.
See the technical specTechnical foundation
Read the full Guardrails reference
Six built-in policy types, three-phase enforcement architecture, and a full audit log per call.
Ready to turn on runtime guardrails?
Create your workspace, define a domain, and build the first intent around the outcome your team owns.