Logging
Establishing comprehensive observability through logging is critical when integrating GenAI models into applications. Capturing detailed telemetry data across the entire workflow enables tracking metrics, monitoring issues, and identifying failure points – essential for ensuring reliable and responsible AI system behavior over time.
Detailed usage metrics and logging provide a wealth of observability benefits at the front-end integration points for GenAI. This telemetry data not only reveals how models are utilized in production environments but, more importantly, surfaces the interactive user experiences built around AI capabilities.
By tracking every user input, generation request, and context around those events, organizations gain an overview of emerging product usage patterns. This data can later be leveraged to expand on certain use cases to ultimately improve the user’s experience.
Questions like “Are certain demographics or geographies...
