Tracing & Logging

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What is Tracing & Logging?

Tracing records the full lifecycle of a request through your AI system, from the initial user input through any intermediate LLM calls, tool uses, or retrieval steps, all the way to the final response. Logging captures individual events like errors, latency spikes, or unexpected outputs. Together, they let you reconstruct exactly what happened during any given interaction, which is essential for debugging agents and multi-step pipelines.

Free resources to learn Tracing & Logging

More in stage 18: LLM Observability

Tracing & Logging: common questions

Can I learn Tracing & Logging in Hindi?

This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Tracing & Logging in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.

Is this Tracing & Logging tutorial for beginners?

It is lesson 153 of 189 in the free AI Engineer roadmap, in stage 18, LLM Observability. If you are new to AI Engineer, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.

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