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Decision telemetry that operators trust
Intent classification, tool candidates, reasoning checkpoints, and decision confidence as span attributes — not guessed from stderr.
Why this matters
Emit decision telemetry from your agents — intent, tool candidates, confidence — so PUVINoise can build decision graphs operators trust. Start your evaluation on app.puvilabs.com.
Guessing from logs is not governance
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When operators reconstruct agent decisions from unstructured logs, every triage becomes archaeology. Decision telemetry makes intent classification, tool candidates, reasoning checkpoints, decision confidence, and agent state transitions explicit — as span attributes and decision.* events.
SDK-shaped instrumentation
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The PUVINoise SDK is designed so decision graphs are built from structured emit, not inferred later. That quality of signal is what Behaviour Intelligence and Runtime Case workflows depend on when leadership asks what changed and why.
Try it on your agents
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Instrument a small fleet, open Command Centre, and walk a decision path end to end. Start a free evaluation at app.puvilabs.com — then deepen with the SDK docs when you are ready to productionise.
Takeaways
Use these as a checklist when you open your PUVINoise evaluation.
Emit intent and tool selection as first-class events
Prefer structured decision.* attributes over prose logs
Use decision graphs in triage instead of log archaeology
Validate signal quality early in evaluation
Next steps
Go deeper
SDK decision telemetry
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SDK decision telemetry →All blogs & reports
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