Environment Boundaries and Constraints › Glossary
AI Agent HandbookAll chapters Environment Boundaries and Constraints › GlossaryOne section · Sections in this chapter10 / 11 ↓
Access Constraint: A rule that limits what data or resources an agent can read or modify. Access constraints typically distinguish between read and write permissions for different resource types.
Action Policy: A set of rules defining which actions an agent can perform automatically and which require user confirmation. Actions are typically categorized by risk level.
Audit Logging: The practice of recording all significant agent actions for later review. Audit logs help with debugging, security monitoring, and compliance.
Boundary System: The complete set of constraints and permissions that define what an agent can and cannot do in its environment. A boundary system combines access controls, action policies, rate limits, and scope restrictions.
Context-Aware Permissions: Permissions that change based on the current situation, such as time of day, user presence, or the specific task being performed. Context awareness allows more flexible security.
Production Environment: The real-world setting where an agent operates with actual user data and real consequences. Production environments require stricter safety checks than development environments.
Rate Limiting: A constraint that limits how often an agent can perform certain actions within a time window. Rate limiting prevents runaway behavior and controls costs.
Scope Boundary: A constraint that defines where an agent can operate, such as which directories it can access or which network domains it can contact. Scope boundaries create a sandbox for agent operations.
Training Environment: A safe setting for developing and testing an agent, typically using fake or sanitized data. Training environments allow experimentation without real-world consequences.