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token telemetry
About this tag
Token telemetry refers to the real-time monitoring and analysis of token consumption, latency, cost drivers, and content-safety signals in large language model (LLM) workloads. On WindowsForum.com, discussions cover integrations like Elastic Observability with Azure AI Foundry, which provides pre-built dashboards and operational controls for site reliability engineers and developers. This technology preview enables teams to track token usage and performance metrics for agentic AI and LLMs running in Azure, helping optimize costs and ensure safety. The tag focuses on enterprise AI observability, particularly for token-level metrics in cloud-based AI deployments.
Elastic has quietly landed a practical — and timely — piece of infrastructure for enterprise AI: an integration between Elastic Observability and Azure AI Foundry that delivers real‑time telemetry, pre‑built dashboards, and operational controls designed specifically for agentic AI and large...