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[ML] Remove SageMaker Elastic updates #131301
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Rather than silently drop the payload, throw a validation error when Users try to send task settings in the update payload for SageMaker inference with the Elastic API.
prwhelan
commented
Jul 15, 2025
@@ -88,12 +88,6 @@ default SdkBytes requestBytes(SageMakerModel model, SageMakerInferenceRequest re | |||
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@Override | |||
default SageMakerElasticTaskSettings apiTaskSettings(Map<String, Object> taskSettings, ValidationException validationException) { | |||
if (taskSettings != null && (taskSettings.isEmpty() == false)) { | |||
validationException.addValidationError( |
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The calling code adds validation errors for "extra settings" already, so this error is redundant in this location - we're moving it into the update
call path instead where there is no error but should be
Pinging @elastic/ml-core (Team:ML) |
jonathan-buttner
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Jul 15, 2025
This was referenced Jul 16, 2025
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Rather than silently drop the payload, throw a validation error when Users try to send task settings in the update payload for SageMaker inference with the Elastic API.
prwhelan
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Rather than silently drop the payload, throw a validation error when Users try to send task settings in the update payload for SageMaker inference with the Elastic API.
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…king * upstream/main: Mark watcher NotMultiProjectCapable and replace deprecated multi-project methods (elastic#131313) Enable force inference endpoint deleting for invalid models and after stopping model deployment fails (elastic#129090) [ML] Remove SageMaker Elastic updates (elastic#131301) Refactor AsyncSearchErrorTraceIT to use assertBusy (elastic#131328)
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Rather than silently drop the payload,
throw a validation error when Users try to send task settings
in the update payload for SageMaker inference with the
Elastic API.