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Observability for AI: What to Log, Trace, and Measure
Observability

Observability for AI: What to Log, Trace, and Measure

Walhallah
8 min read
Turn opaque model calls into transparent systems.
#logging#tracing#metrics#privacy
Gallery 1
Capture prompts, parameters, and key outputs with privacy controls. Correlate inference spans with upstream events and downstream user actions. Track latency distributions, token counts, and provider errors. With the right signals, flaky behavior becomes diagnosable, incidents shrink, and product teams gain confidence to iterate.

Published:

Article Info

Category:Observability
Read time:8 minutes
Author:Walhallah
Published:Oct 2025

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