This article explores how OpenTelemetry Semantic Conventions for Generative AI provide deep visibility into LLM-powered applications by standardizing the recording of model calls, tool invocations, and token exchanges. It provides a practical walkthrough on exporting telemetry from tools like VS Code Copilot and using the Aspire Dashboard to visualize traces, metrics, and chat-style conversations.
The article discusses the challenges faced due to differing observability tools and naming conventions, and how OpenTelemetry's standard naming schemas can streamline workflows and enhance interoperability.
