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Endigest AI Core Summary
This post explains how to monitor AI agents end-to-end using the OpenLIT SDK and Grafana Cloud for distributed tracing, metrics, and cost visibility.
•A single openlit.init() call instruments agent frameworks like CrewAI and OpenAI Agents SDK, automatically capturing LLM prompts, token usage, tool calls, and errors as OpenTelemetry spans
•Grafana Cloud provides five prebuilt AI dashboards (GenAI observability, evaluations, vector DB, MCP, GPU) that visualize latency, throughput, token counts, and API costs
•Telemetry is sent to Grafana Cloud's managed Prometheus and Tempo backends via OTLP environment variables, requiring no manual span creation
•Agent traces enable full sequence visibility from user query through planning, tool invocations, and LLM calls, making root-cause analysis straightforward when an agent fails
•OpenLIT supports hallucination detection and toxicity analysis as built-in evaluation tools, and uses OpenTelemetry semantic conventions to avoid vendor lock-in
This summary was automatically generated by AI based on the original article and may not be fully accurate.
Grafana
Google Cloud
Databricks
Stripe