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sagemaker-bot merged 1 commit into from
Jan 13, 2026
Merged

Daily Sync with Botocore v1.42.26 on 2026/01/13 #358

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32 changes: 16 additions & 16 deletions sample/sagemaker/2017-07-24/service-2.json
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Original file line number Diff line number Diff line change
Expand Up @@ -7653,7 +7653,7 @@
"members":{
"Arn":{
"shape":"String1024",
"documentation":"<p> The Amazon Resource Name (ARN) of the metadata for the Amazon Bedrock custom model deployment. </p>"
"documentation":"<p> The Amazon Resource Name (ARN) for the Amazon Bedrock custom model deployment. </p>"
}
},
"documentation":"<p> The metadata of the Amazon Bedrock custom model deployment. </p>"
Expand All @@ -7663,7 +7663,7 @@
"members":{
"Arn":{
"shape":"String1024",
"documentation":"<p> The Amazon Resource Name (ARN) of the Amazon Bedrock custom model metadata. </p>"
"documentation":"<p> The Amazon Resource Name (ARN) of the Amazon Bedrock custom model. </p>"
}
},
"documentation":"<p> The metadata of the Amazon Bedrock custom model. </p>"
Expand All @@ -7673,7 +7673,7 @@
"members":{
"Arn":{
"shape":"String1024",
"documentation":"<p> The Amazon Resource Name (ARN) of the Amazon Bedrock model import metadata. </p>"
"documentation":"<p> The Amazon Resource Name (ARN) of the Amazon Bedrock model import. </p>"
}
},
"documentation":"<p> The metadata of the Amazon Bedrock model import. </p>"
Expand All @@ -7683,7 +7683,7 @@
"members":{
"Arn":{
"shape":"String1024",
"documentation":"<p> The Amazon Resource Name (ARN) of the Amazon Bedrock provisioned model throughput metadata. </p>"
"documentation":"<p> The Amazon Resource Name (ARN) of the Amazon Bedrock provisioned model throughput. </p>"
}
},
"documentation":"<p> The metadata of the Amazon Bedrock provisioned model throughput. </p>"
Expand Down Expand Up @@ -25827,7 +25827,7 @@
"members":{
"Arn":{
"shape":"String2048",
"documentation":"<p> The Amazon Resource Name (ARN) of the inference component metadata. </p>"
"documentation":"<p> The Amazon Resource Name (ARN) of the inference component. </p>"
}
},
"documentation":"<p> The metadata of the inference component. </p>"
Expand Down Expand Up @@ -27553,19 +27553,19 @@
"members":{
"ActionArns":{
"shape":"MapString2048",
"documentation":"<p> The Amazon Resource Name (ARN) of the lineage metadata action. </p>"
"documentation":"<p> The Amazon Resource Name (ARN) of the lineage action. </p>"
},
"ArtifactArns":{
"shape":"MapString2048",
"documentation":"<p> The Amazon Resource Name (ARN) of the lineage metadata artifact. </p>"
"documentation":"<p> The Amazon Resource Name (ARN) of the lineage artifact. </p>"
},
"ContextArns":{
"shape":"MapString2048",
"documentation":"<p> The Amazon Resource Name (ARN) of the lineage metadata context. </p>"
"documentation":"<p> The Amazon Resource Name (ARN) of the lineage context. </p>"
},
"Associations":{
"shape":"AssociationInfoList",
"documentation":"<p> The lineage metadata associations. </p>"
"documentation":"<p> The lineage associations. </p>"
}
},
"documentation":"<p> The metadata that tracks relationships between ML artifacts, actions, and contexts. </p>"
Expand Down Expand Up @@ -33759,12 +33759,12 @@
},
"IsCheckpoint":{
"shape":"Boolean",
"documentation":"<p> The checkpoint of the model package. </p>",
"documentation":"<p> Specifies whether the model data is a training checkpoint. </p>",
"box":true
},
"BaseModel":{
"shape":"BaseModel",
"documentation":"<p> The base model of the package. </p>"
"documentation":"<p> Identifies the foundation model that was used as the starting point for model customization. </p>"
}
},
"documentation":"<p>Describes the Docker container for the model package.</p>"
Expand Down Expand Up @@ -40886,10 +40886,6 @@
},
"SearchTrainingPlanOfferingsRequest":{
"type":"structure",
"required":[
"DurationHours",
"TargetResources"
],
"members":{
"InstanceType":{
"shape":"ReservedCapacityInstanceType",
Expand Down Expand Up @@ -41942,7 +41938,7 @@
},
"MlflowExperimentName":{
"shape":"MlflowExperimentEntityName",
"documentation":"<p> The MLflow experiment name of the start execution. </p>"
"documentation":"<p> The MLflow experiment name of the pipeline execution. </p>"
}
}
},
Expand Down Expand Up @@ -45247,6 +45243,10 @@
"Id":{
"shape":"String",
"documentation":"<p>The unique identifier of the UltraServer.</p>"
},
"Type":{
"shape":"String",
"documentation":"<p>The type of the UltraServer.</p>"
}
},
"documentation":"<p>Contains information about the UltraServer object.</p>"
Expand Down
5 changes: 4 additions & 1 deletion src/sagemaker_core/main/code_injection/shape_dag.py
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Expand Up @@ -16417,7 +16417,10 @@
"type": "structure",
},
"UltraServerInfo": {
"members": [{"name": "Id", "shape": "String", "type": "string"}],
"members": [
{"name": "Id", "shape": "String", "type": "string"},
{"name": "Type", "shape": "String", "type": "string"},
],
"type": "structure",
},
"UltraServerSummary": {
Expand Down
24 changes: 13 additions & 11 deletions src/sagemaker_core/main/shapes.py
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Expand Up @@ -687,8 +687,8 @@ class ModelPackageContainerDefinition(Base):
nearest_model_name: The name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model that matches your model. You can find a list of benchmarked models by calling ListModelMetadata.
additional_s3_data_source: The additional data source that is used during inference in the Docker container for your model package.
model_data_e_tag: The ETag associated with Model Data URL.
is_checkpoint: The checkpoint of the model package.
base_model: The base model of the package.
is_checkpoint: Specifies whether the model data is a training checkpoint.
base_model: Identifies the foundation model that was used as the starting point for model customization.
"""

container_hostname: Optional[str] = Unassigned()
Expand Down Expand Up @@ -2890,7 +2890,7 @@ class BedrockCustomModelDeploymentMetadata(Base):

Attributes
----------------------
arn: The Amazon Resource Name (ARN) of the metadata for the Amazon Bedrock custom model deployment.
arn: The Amazon Resource Name (ARN) for the Amazon Bedrock custom model deployment.
"""

arn: Optional[str] = Unassigned()
Expand All @@ -2903,7 +2903,7 @@ class BedrockCustomModelMetadata(Base):

Attributes
----------------------
arn: The Amazon Resource Name (ARN) of the Amazon Bedrock custom model metadata.
arn: The Amazon Resource Name (ARN) of the Amazon Bedrock custom model.
"""

arn: Optional[str] = Unassigned()
Expand All @@ -2916,7 +2916,7 @@ class BedrockModelImportMetadata(Base):

Attributes
----------------------
arn: The Amazon Resource Name (ARN) of the Amazon Bedrock model import metadata.
arn: The Amazon Resource Name (ARN) of the Amazon Bedrock model import.
"""

arn: Optional[str] = Unassigned()
Expand All @@ -2929,7 +2929,7 @@ class BedrockProvisionedModelThroughputMetadata(Base):

Attributes
----------------------
arn: The Amazon Resource Name (ARN) of the Amazon Bedrock provisioned model throughput metadata.
arn: The Amazon Resource Name (ARN) of the Amazon Bedrock provisioned model throughput.
"""

arn: Optional[str] = Unassigned()
Expand Down Expand Up @@ -4146,9 +4146,11 @@ class UltraServerInfo(Base):
Attributes
----------------------
id: The unique identifier of the UltraServer.
type: The type of the UltraServer.
"""

id: Optional[str] = Unassigned()
type: Optional[str] = Unassigned()


class ClusterNodeDetails(Base):
Expand Down Expand Up @@ -11745,7 +11747,7 @@ class InferenceComponentMetadata(Base):

Attributes
----------------------
arn: The Amazon Resource Name (ARN) of the inference component metadata.
arn: The Amazon Resource Name (ARN) of the inference component.
"""

arn: Optional[str] = Unassigned()
Expand Down Expand Up @@ -12008,10 +12010,10 @@ class LineageMetadata(Base):

Attributes
----------------------
action_arns: The Amazon Resource Name (ARN) of the lineage metadata action.
artifact_arns: The Amazon Resource Name (ARN) of the lineage metadata artifact.
context_arns: The Amazon Resource Name (ARN) of the lineage metadata context.
associations: The lineage metadata associations.
action_arns: The Amazon Resource Name (ARN) of the lineage action.
artifact_arns: The Amazon Resource Name (ARN) of the lineage artifact.
context_arns: The Amazon Resource Name (ARN) of the lineage context.
associations: The lineage associations.
"""

action_arns: Optional[Dict[str, str]] = Unassigned()
Expand Down
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