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Configuration

The Configuration tab on Evaluations (/evaluations?tab=configuration) sets the judge model and Auto Evaluation schedule used for online LLM evaluation. The page opens with a Manual & Auto info card explaining both paths. (/evaluations/settings and /settings/evaluation redirect here.)

Under the Configuration card, choose:

FieldLabelNotes
ProviderProviderFrom Costs → Manage models
ModelModelList from the selected provider, or a custom model name (e.g. gpt-4o-mini or custom model name)
API keyAPI Key (Vault)Select a Vault secret, or Create new

Save with Save Changes or Create Config depending on whether a config already exists.

Auto Evaluation runs enabled evaluators against newly ingested LLM traces on a schedule - no manual click or SDK call required.

ManualAuto
TriggerRun Evaluation on a trace, or SDKCron schedule
ScopeOne trace (or one SDK call)New LLM traces since the last run
SamplingNoneConfigurable sample rate
Result taggingsource: manualsource: auto (or skipped when sampled out)
Open Configuration

Go to Monitor → Evaluations → Configuration.

Choose the judge model

Select Provider, Model, and API Key (Vault).

Enable auto evaluation

Toggle Enable auto evaluation.

Set sample rate

Enter Sample rate (%) - the percentage of eligible traces to evaluate (e.g. 10 for 10%). Sampling is deterministic for a given trace.

Set Cron schedule

Enter a standard cron expression (e.g. */15 * * * * every 15 minutes).

Save

Click Save Changes / Create Config.

Which types actually run is controlled on the Evaluators tab (and via Rule Engine links). Manual evaluation from a trace still uses this same configured judge.

Active Auto Evaluation schedules are restored when Shield360 starts again - no manual re-setup after a redeploy.

The Manual Evaluation card points you to Telemetry: open a trace and run evaluation from its Evaluation tab, or use Go to Traces. See LLM-as-a-Judge.