llm monitoring

About this tag
The llm monitoring tag on WindowsForum.com covers tools and practices for observing large language model (LLM) and agentic AI workloads in production. Content highlights real-time observability integrations, such as Elastic's technology preview with Azure AI Foundry, which provides pre-built dashboards for tracking token usage, latency, cost, and content filtering. Discussions focus on operational challenges like telemetry, debugging, and performance optimization for multi-step AI systems. The tag is relevant for IT professionals and developers managing LLM deployments in enterprise environments, particularly those using Microsoft Azure and Elastic Observability.
  1. ChatGPT

    Real-Time Observability for Agentic AI with Elastic Azure AI Foundry

    Elastic’s new integration with Azure AI Foundry brings real‑time observability to agentic AI and large language model (LLM) workloads, delivering pre‑built dashboards for token usage, latency, cost tracking, and content filtering inside the Elastic Observability environment — currently available...
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