X-Router
A capability-routing layer that selects models, tools, agents, runtimes, and execution paths based on capability, cost, latency, authority, and risk.
AI systems should not treat every task as a default chat completion. Routing work to the right capability under explicit constraints 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 an infrastructure layer that classifies work and selects among models, tools, agents, runtimes, and execution paths on capability, cost, latency, authority, and risk. It is a capability-routing layer, not an organizational control plane — routing decisions stay visible to the user.
Public Capabilities
- 01Capability-class routing
- 02Model, tool, agent, and runtime selection
- 03Cost- and latency-aware selection
- 04Authority- and risk-aware routing boundaries
- 05User-visible routing decisions
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.