A semantic router uses the content of a request rather than only a fixed address or keyword. It can recognize task categories, estimate difficulty and apply policies before choosing a model or specialized processing path.
Routing decisions need evaluation because a misclassification can send sensitive or complex work to an unsuitable destination. Confidence thresholds, fallback routes and observability help the system recover when the initial classification is uncertain.
Acronyms and aliases
semantic model router variant
General terms
Frequently asked questions
How does a semantic router work?
It analyzes the meaning and intent of an input, assigns a route or score and sends the task to a compatible model, tool or workflow.
What happens when a semantic router is uncertain?
A safe design can use a default capable model, request clarification or send the task to review rather than force a low-confidence route.
