How to make an AI Agent ensure that all requests are logged

To ensure an AI Agent logs all requests, it must be designed with mandatory logging integrated directly into its core request handling process. This is technically achievable through systematic architectural choices and policy enforcement.

Implement a centralized, immutable logging mechanism triggered automatically for every incoming request. Necessary conditions include enforcing a "no bypass" policy within the agent's code and environment, ensuring secure log capture even during errors or exceptions. Ensure logs include essential details like timestamp, request source, content, and agent response. The scope applies universally to all request types handled by the agent. Critical precautions are protecting log integrity (e.g., write-once storage) and setting up robust monitoring/alerts for logging failures to prevent gaps.

Begin by defining the logging protocol requirements (data fields, format). Integrate a dedicated logging library/service call at the earliest entry point in the agent's processing flow, making it non-optional. Secure the log transmission and storage infrastructure. Regularly audit logs and monitoring systems for completeness. This approach delivers business value through comprehensive audit trails essential for security incident response, regulatory compliance, operational debugging, and user behavior analysis.