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MLOps Academy · Lesson

Trace and Monitor LLM Calls

Capture tokens, latency, and cost per request.

You Cannot Fix What You Cannot See

An LLM app feels like a black box until you log what it does. Tracing records each call so you can debug, cost, and improve it later. 🔍

Capture the Request

For every call, log the final prompt, the model name, and key parameters. This request record lets you reproduce any answer exactly.

log.info({"model": "gpt-4o", "prompt": prompt, "temperature": 0.2})

All lessons in this course

  1. How LLMOps Differs from Classic MLOps
  2. Version Prompts and Evaluate Outputs
  3. Trace and Monitor LLM Calls
  4. Guardrails and RAG Evaluation
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