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autogluon
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Replace the SageMaker Python SDK with direct boto3 calls
- #281
#281
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shchur
merged 16 commits into
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autogluon/autogluon-cloud:master
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sagemaker-v3-core
autogluon/autogluon-cloud:sagemaker-v3-core
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Oct 2, 2026
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Replace the SageMaker Python SDK with direct boto3 calls
#281
shchur
merged 16 commits into
master
autogluon/autogluon-cloud:master
from
sagemaker-v3-core
autogluon/autogluon-cloud:sagemaker-v3-core
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Commits on Oct 1, 2026
Migrate to SageMaker Python SDK v3 (sagemaker-core)
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b120e67
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Pin sagemaker-core>=2.18 and stream job logs through our own session
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Fix sagemaker-core acronym field serialization and unit test setup
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Simplify SageMaker request helpers and isolate sagemaker-core workarounds
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Add reusable SageMakerConfig backend settings and bind prediction futures to their jobs
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Call SageMaker through each backend's boto3 clients instead of sagemaker-core resources
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Drop the sagemaker-core dependency
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Trim SageMaker SDK migration to the minimal API change
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Align predict() result handling with fit_predict()
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Let retrieve_image_uri pass through a custom image URI
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Fix resource tracking with backend_overrides and restore SDK behaviors
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Reject custom entry point scripts with an explicit error
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Reject overrides of resource references; harden deploy rollback
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Drop attach_endpoint type check
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Name the endpoint config after the endpoint, as SDK v2 did
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Name the endpoint's model after the endpoint, like batch predict does
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