Runtime selection
Separate application-facing intent contracts from the model selected for execution.
Models + router
Configure provider credentials and runtime preferences behind the intent contract. Route requests according to your operating needs while the application keeps calling the same capability.
Live configuration
Platform capabilities
Build the capability once, keep its operating context visible, and improve it without spreading AI infrastructure across your application.
Separate application-facing intent contracts from the model selected for execution.
Define recovery paths so provider failure does not require emergency application changes.
Manage tenant-owned provider access within the platform configuration boundary.
Evaluate alternate models without rewriting every consuming application service.
See which provider and model handled a request in its execution record.
Connect model selection to the cost and usage data produced by real requests.
Operating workflow
The interface follows the work in the order teams actually perform it.
Add the credentials your tenant controls.
Choose primary and fallback runtime options.
Exercise normal and failure scenarios.
Review model attribution in request traces.
What improves
Move complexity into a visible platform boundary while keeping the product integration direct.
Product integrations depend on intent contracts instead of provider-specific request shapes.
Fallback choices are reviewed before an incident rather than improvised during one.
Routing choices can be evaluated against quality, latency, and cost evidence.
Questions
Practical answers about how this part of LiyaEngine fits into the platform.
No. The application continues to call the same domain and intent endpoint.
Yes. Provider access is configured for the tenant rather than embedded in application code.
Yes. Provider and model attribution are included in execution visibility.
Start with a tenant-owned domain and expose the first intent through a stable, governed API.