Building End-to-End LLM Observability in FastAPI with OpenTelemetry
observability•Mar 13, 2026

Building End-to-End LLM Observability in FastAPI with OpenTelemetry

Large Language Models (LLMs) introduce operational complexity that traditional monitoring approaches were never designed to handle. This article shows how to build end-to-end LLM observability in a FastAPI application using OpenTelemetry.

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Key summary

This article demonstrates how to build end-to-end LLM observability in a FastAPI application using OpenTelemetry, enabling engineers to understand the full lifecycle of an AI-driven request.

TL;DR

  • LLM observability extends beyond infrastructure monitoring
  • Captures the full lifecycle of an AI-driven request
  • Use OpenTelemetry to design traces, spans, and semantic attributes
  • FastAPI example: end-to-end LLM spans
  • Semantic attributes: best practices for LLM observability
  • Evaluation hooks inside traces
  • Exporting and visualizing traces
  • Operational patterns and anti-patterns
#observability
#opentelemetry
#llm
#ai
#fastapi

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