agent-governance

To enforce policy controls on AI agents calling external APIs, apply composable policies that allow, deny, or flag tool usage. This approach wraps tool functions with decorators to apply rate limits, content filters, and human review gates before execution.

Pre-flight intent classification is a mechanism that detects data exfiltration, privilege escalation, and prompt injection before tool execution. It evaluates incoming prompts semantically to prevent AI agents from performing dangerous or unauthorized actions.

Add rate limiting and audit logging to multi-agent workflows by wrapping tool functions with decorators. This records allowed and denied tool calls in an append-only audit trail and maintains per-agent trust scores with temporal decay to gate autonomous actions.

Yes, you can integrate agent governance with frameworks like CrewAI, PydanticAI, and OpenAI Agents. The Skill provides recipes for securing production deployments by applying policy enforcement and audit trails within these common agent frameworks.

You need trust scoring for AI agents accessing databases when running multi-agent systems in production that require autonomous decision delegation. Trust scoring uses temporal decay to dynamically gate actions based on an agent's recent behavior and compliance.