*The Execution Boundary: Where Should It Live?*
In systems that utilize agents to execute tasks, a common pattern emerges: most control and decision-making happens after the task has been executed. This includes retries, state checks, monitoring, and idempotency patches. However, the actual decision to execute the task is often implicit, and the agent is assumed to be able to call the tool. This raises the question: where should the allow/deny decision live?
*The Agent Loop: Where Execution Decisions Often Reside*
In many systems, the agent loop is where the decision to execute is made. The agent checks if it has the capability to call the tool and if it is authorized to execute the action. However, this approach has its limitations. The agent loop is often implicit, and the decision to execute is not always explicit. This can lead to a lack of transparency and accountability in the system.
*Separation of Concerns: Capability and Authority*
In other systems, the capability (can call) and authority (allowed to execute) are separated. This approach provides a clearer distinction between what the agent can do and what it is allowed to do. However, this separation is not always maintained, and the agent loop is often used as a shortcut.
*Centralized Policy Layer: A Potential Solution*
One potential solution to this problem is to introduce a centralized policy layer. This layer would be responsible for making the allow/deny decision, based on the system's configuration and policies. This approach provides a clear and explicit decision-making process, and reduces the risk of implicit decisions being made.
*Conclusion*
The execution boundary is a critical aspect of agent systems, and its placement can have significant implications for the system's behavior and performance. While the agent loop is often used as the default location for the allow/deny decision, this approach can lead to implicit decisions and a lack of transparency. By introducing a centralized policy layer, systems can provide a clearer and more explicit decision-making process, and reduce the risk of errors and inconsistencies. Ultimately, the choice of where to place the execution boundary will depend on the specific needs and requirements of the system.