X-Router
A capability-routing pattern for sending work to the right model, tool, agent, or runtime based on task type, context, cost, and governance constraints.
AI systems should not treat every task as a default chat completion. Routing improves reliability, cost control, and operational clarity.
Problem Space
Single-surface AI workflows often overload one model or agent with tasks that require different tools, contexts, permissions, or reliability profiles.
System Direction
X-Router frames routing as a governed infrastructure layer that can classify work, select capability classes, and preserve operator visibility.
Public Capabilities
- 01Capability-class routing
- 02Cost-aware model and tool selection
- 03Policy-aware routing boundaries
- 04Operator-visible routing decisions
- 05Extraction path from flagship runtimes
X-Router is described publicly at the pattern level only. Routing policies, scoring logic, and internal runtime integrations are not disclosed.
What Is Not Disclosed
Private implementation details, security-sensitive internals, and unreleased runtime architecture are intentionally not disclosed.