O · OCR · observability

Observability

The practice of recording prompts, retrieval, model calls and citations so a system is debuggable.

In one sentence

Observability for AI systems is the practice of recording every prompt, retrieval result, model call, tool invocation and citation so that any answer can be reconstructed, audited and improved later.

When it matters

For incident response, regulator audit (AI Act art. 12), and continuous improvement of retrieval quality.

A real-world example

Every helpcode reply ships with a trace: the prompt, the retrieved chunks, the reranker scores, the model version. Exportable in CSV or via API.

Curated by helpcode research team · Last reviewed 2026-05-22