v3.23.0

SageMaker Python SDK v3.23.0

Package versions

• sagemaker 3.23.0
• sagemaker-core 2.23.0
• sagemaker-train 1.23.0
• sagemaker-serve 1.23.0
• sagemaker-mlops 1.23.0

New Features

• feat(pipeline): add inference and lineage step types (#6224)
• feat(train): finetuningoptions validation telemetry (#6286)
• feat(train): apply constructor hyperparameters in fine-tuning trainers (#6293)
• feat(serve): update SDK to use latest LMI v29 image for sdk v3.x (#6301)

Bug Fixes

• fix(core): recognize new duplicate-name wording; actionable train() errors (#6256)
• fix(train): raise on invalid constructor hyperparameters (#6306)
• fix(core): keep environment variable names intact when parsing private hub model documents (#6204)
• fix: migrate llama-cpp-arm64 to cpu processor schema and align image_uri unit tests (#6290)
• fix(serve): use the correct AMI when on cu130 to avoid crashes at launch (#6281)

Other

• change: update image_uri_configs (#6308, #6304)
• add: metadata for huggingface vllm v0.29 (#6300)