Problem
Autonomous agents need guardrails that go beyond prompt instructions. When agents manage resources, make API calls, or modify state, there must be enforceable policy boundaries.
Approach
The control metalayer sits between agent intent and execution using classical control vocabulary — setpoints (desired state), sensors (tests, lints, metrics), actuators (CI/CD, deployment), and a feedback loop (monitoring, alerts, rollbacks):
- declarative policy definitions for resource budgets and action allowlists
- real-time audit logging with structured traces
- circuit breakers that halt execution when constraints are violated
- approval workflows for high-stakes operations
A concrete policy rule: max_api_calls_per_session: 50 — if an agent exceeds this, the circuit breaker halts execution and logs the violation before any damage compounds.
Architecture overview
Policies are defined as typed rules that the metalayer evaluates before each agent action. The evaluation is synchronous and deterministic. Violations produce structured events that feed into alerting and dashboards. In practice, this lives in a .control/ directory alongside policy.yaml, state.json, and commands.yaml — making governance version-controlled and auditable alongside the code it governs.
The metalayer integrates with Symphony for orchestration enforcement and aiOS for identity-scoped policy resolution, forming the governance spine of the Agent OS stack.
Current status
Active development with policy evaluation, budget enforcement, and audit trail primitives in place. The .control/ directory pattern is deployed in production repositories.
Why it matters
Control is what makes autonomy safe. The metalayer ensures agents operate within defined boundaries without requiring human-in-the-loop for every action.