G

GAR Core

GAR Core

Purpose#

GAR (Gao AI Runtime) is the execution engine responsible for:

  • model routing

  • adapter loading

  • policy enforcement

  • capability validation

  • audit emission

GAR ensures that all AI execution inside Gao AI OS follows deterministic and policy-compliant behavior.

Core Responsibilities#

GAR coordinates the following runtime components:

  • Model Router

  • Adapter Loader

  • Policy Gate

  • Bridge API

  • Tool Router

Each component operates under capability-gated execution.

Execution Pipeline#

  1. dApp sends intent.

  2. Runtime validates capability.

  3. Policy Gate evaluates request.

  4. Model Router selects execution target.

  5. Adapter Loader resolves domain adapters.

  6. Execution occurs.

  7. Audit event emitted.

Security Model#

GAR enforces:

  • capability-gated execution

  • policy-controlled inference

  • deterministic routing

  • auditable execution traces