
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

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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