How to monitor LLMs in production with Grafana Cloud,OpenLIT, and OpenTelemetry

This post explains how to set up end-to-end observability for LLM applications in production using Grafana Cloud, OpenLIT SDK, and OpenTelemetry.

• •OpenLIT SDK auto-instruments 50+ GenAI tools with minimal setup, following OpenTelemetry's GenAI semantic conventions
• •Grafana Cloud AI Observability tracks model latency, throughput, token usage, and real-time cost across providers
• •Built-in quality and safety evaluations detect hallucinations, toxicity, bias, and prompt-injection attacks
• •A multi-model router demo routes queries to GPT-3.5, Claude 3, or GPT-4 based on message complexity with consistent tracing
• •Setup requires calling openlit.init() and configuring OTLP environment variables pointing to Grafana Cloud's managed gateway