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Once you are satisfied with your trained Luna evaluator’s performance and compliance checks, you can deploy it to Splunk Agent Observability and use it across evaluation, observability, and guardrails.

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Registering an evaluator in Splunk Agent Observability

The SDK provides register_metric_to_galileo(...) for the final deployment step. After your model weights are available, registration creates or updates the scorer version in Splunk Agent Observability.

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Where to go next

Register evaluator in Splunk Agent Observability

Follow the code-first deployment flow to publish a trained evaluator.

Luna Studio UI registration flow

See the equivalent registration step in the Luna Studio web app.