AI Logging

Definitions

1. The recording of AI-related events such as prompts, responses, model versions, latency, token use, tool calls, and safety decisions for debugging or governance. AI logging needs careful privacy and retention controls because logs may contain sensitive content.

   In plain English: Logging focused on AI requests, responses, and system behavior.

   Example: "They tightened AI logging so prompts could be inspected during incidents without retaining customer data longer than policy allowed."

Related Terms

• Log Level
• Logger
• Log Everything
• Cloud Logging
• Custom Logger
• AI Debugging
• AI Trace
• LLM Observability