An artificial intelligence policy engine receives signals about a model or agent run and evaluates configured rules. Policies can consider cost, iteration count, user segment, tool output size, completion progress and other run context.
The engine should have a bounded set of permitted actions, such as compacting context, reducing output, steering or halting. A separate governor can enforce that limit so a policy cannot make an intervention outside its authorized scope.
