Model Serving · Data artifact

Model Routing Policy

Data artifactModel ServingModelsarc:ModelRoutingPolicy

A declarative policy mapping request characteristics such as token length or reasoning complexity to model tiers and providers, together with spending caps, applied centrally by the AI gateway.

Responsibility. Specifies which model and provider serve each class of request.

Also known as: AI gateway routing policy, Cost cap policy

configuresModel Router: configuresModel Router
Direct neighbourhood (hover for relationship types)

Relationships

configures structural

Design guidance

Quantitative guidance

As stated by the sources; verify before use.

Classification

Patterns
Policy as configuration
Quality attributes
Cost efficiencyMaintainability (ISO/IEC 25010)
Risks mitigated
Runaway spendingInconsistent routing across services

Sources

  1. Ch4.2: T. Nguyen, "Deployment and Scaling," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 4.2. ISBN: 9798244538229.
  2. Ch8.3: T. Nguyen, "Token Economics and Architecture," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 8.3. ISBN: 9798244538229.
  3. Ref7.17: "Scaling Agentic AI Systems: Patterns and Strategies," unpublished reference note (17-Scalability-Patterns.md), Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam supplementary materials, 2026. unpublished note
  4. Ref8.05: "Cost Optimization and Resource Monitoring for Agent Systems," unpublished reference note (05-Cost-Optimization-Resource-Monitoring.md), Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam supplementary materials, 2026. unpublished note