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AI Features

The Agent Containment Envelope

Explore the concept of an agent containment envelope as a key architectural control that bounds an AI agent's actions through enforcement of least-privilege tool access, approval gates for high-impact operations, step/time/token budgets, and kill switches. Understand how these controls ensure safe, auditable, and compliant agent execution by limiting autonomous behavior within defined runtime boundaries and enabling detailed logging for later review.

Reliability controls help individual tool calls fail safely, but they do not determine which actions an agent may attempt. That requires a separate authorization and containment boundary. Agent containment is an architectural control designed to prevent autonomous behavior from causing uncontrolled production impact. It requires enforceable budgets, approval gates, and kill switches at defined runtime boundaries rather than relying solely on advisory guidelines that may not apply to unexpected execution paths.

An agent containment envelope is the set of enforceable controls surrounding an agent runtime and its tool mediation layer, bounding blast radius and keeping actions reviewable. The envelope has four dimensions: least-privilege tool access, approval gates for high-impact actions, step/time/token budgets that cap work, and termination controls that stop or quarantine execution. Tie each dimension to a specific enforcement point, and log it.

Containment stays distinct from content filtering and prompt rules. Content filtering focuses on model inputs and outputs. Containment controls what the agent is allowed to do, how long it can keep trying, and how execution gets halted when the system deviates from policy or budget.

The following diagram shows the containment envelope boundaries around an agent runtime, including the enforcement points and the evidence that should be logged.

Containment envelope diagram around an agent runtime
Containment envelope diagram around an agent runtime
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