Fixing Broken AI Monitoring with Server-side Semantic Mapping

Different AI frameworks, SDKs, and gateways often report the same underlying signals, such as cost, token usage, inputs, and outputs, using different attribute names. As a result, dashboards and metrics built around specific attributes can silently break when teams adopt a new tool or switch telemetry conventions. This walkthrough shows a real example of that problem in action and demonstrates how server-side semantic mapping provides a consistent way to query those signals across different frameworks and conventions. For more information you can watch a fireside chat here - https://youtu.be/81derYgHZvM?si=OBI3LvdnvIbGuoFW or read our blog on Server-side Semantic Mapping here - https://www.fiddler.ai/blog/server-side-semantic-mapping