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Implementing Observability (Logging / Tracing / Metrics)

AI Navigate Original / 5/16/2026

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Key Points

No observability in production is driving blindfolded
Collect logs, traces, and metrics (latency, cost, failure, refusal)
Use correlation IDs, record versions, aggregate cost, mask PII
Don't cut observability; it's the premise for all improvement

Implementing Observability (Logging / Tracing / Metrics)

If you run LLM features in production, no observability is "driving blindfolded." Make visible what happened, how much it cost, and where it failed.

The 3 Kinds to Collect

Logs: input (summarized/anonymized), output, errors, decision branches

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Implementing Observability (Logging / Tracing / Metrics)

Key Points

Implementing Observability (Logging / Tracing / Metrics)

The 3 Kinds to Collect

Sign up to read the full article

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