How to monitor LLMs in production with Grafana Cloud,OpenLIT, and OpenTelemetry | Endigest
Grafana
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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
This summary was automatically generated by AI based on the original article and may not be fully accurate.