chore(deps): bump sagemaker from 2.243.2 to 3.8.0 in /models/sagemaker

[dependabot]

Bumps sagemaker from 2.243.2 to 3.8.0.

Release notes

Sourced from sagemaker's releases.

v3.8.0 (2026-04-16)

- New Feature

• Feature Group Manager
• Image Upgrades
• Remove Pytorch hard dependency
• Bug Fixes:
  • Add MLFLowConfig to Base Model
  • Support for docker compose > v2
  • Improve SDK v3 Hugging Face support

v3.7.1

Features

• Telemetry: Added telemetry emitter to ScriptProcessor and FrameworkProcessor, enabling SDK usage tracking for processing jobs via the telemetry attribution module (new PROCESSING feature enum added to telemetry constants)

Fixes

• ModelBuilder: Fixed accept_eula handling in ModelBuilder's LoRA deployment path — previously hardcoded to True, now respects the user-provided value and raises a ValueError if not explicitly set to True
• Evaluate: Fixed Lambda handler name derivation in the Evaluator — hardcoded the handler to lambda_function.lambda_handler instead of deriving it from the source filename, which caused invocation failures when the source file had a non-default name

Full Changelog: aws/sagemaker-python-sdk@v3.7.0...v3.7.1

v3.7.0

Fixes

• ModelBuilder: Sync Nova hosting configs with AGISageMakerInference
• Evaluate: Remove GPT OSS model evaluation restriction

Features

• AWS Batch: Add support for Quota Management job submission and job priority update
• AWS Batch: Extend list_jobs_by_share for quota_share_name
• Evaluate: Support IAM role for BaseEvaluator
• Telemetry: Add telemetry attribution module for SDK usage provenance
• MLflow: Metrics visualization, enhanced wait UI, and eval job links

Chores

• Updated SDK to use latest LMIv22 image for v3.x
• Migration guide update
• AWS Batch integ test resources are now uniquely named by test run

v3.6.0

Fixes

• HyperparameterTuner: Include sm_drivers channel in HyperparameterTuner jobs
• Pipeline: Fix handling of training step dependencies to allow successful pipeline creation
• ModelBuilder: Fix the bug in deploy from LORA finetuning job

Features

• Feature Processor: Port feature processor to v3
• Jumpstart: Add EUSC region config for JumpStart

... (truncated)

Changelog

Sourced from sagemaker's changelog.

v3.8.0 (2026-04-16)

New Features

• Feature Group Manager: Feature Group Manager support
• Image Upgrades: Image upgrades

Bug Fixes

• ModelBuilder: Add MLFlowConfig to Base Model
• Docker: Support for docker compose > v2
• HuggingFace: Improve SDK v3 Hugging Face support
• Dependencies: Remove Pytorch hard dependency

v3.7.1 (2026-03-31)

Features

• Telemetry: Added telemetry emitter to ScriptProcessor and FrameworkProcessor, enabling SDK usage tracking for processing jobs via the telemetry attribution module (new PROCESSING feature enum added to telemetry constants)

Fixes

• ModelBuilder: Fixed accept_eula handling in ModelBuilder's LoRA deployment path — previously hardcoded to True, now respects the user-provided value and raises a ValueError if not explicitly set to True
• Evaluate: Fixed Lambda handler name derivation in the Evaluator — hardcoded the handler to lambda_function.lambda_handler instead of deriving it from the source filename, which caused invocation failures when the source file had a non-default name

v3.7.0 (2026-03-25)

Fixes

• ModelBuilder: Sync Nova hosting configs with AGISageMakerInference (#5664)
• Evaluate: Remove GPT OSS model evaluation restriction (#5658)

Features

• AWS Batch: Add support for Quota Management job submission and job priority update (#5659)
• AWS Batch: Extend list_jobs_by_share for quota_share_name (#5669)
• Evaluate: Support IAM role for BaseEvaluator (#5671)
• Telemetry: Add telemetry attribution module for SDK usage provenance (#5661)
• MLflow: Metrics visualization, enhanced wait UI, and eval job links (#5662)

Chores

• Updated SDK to use latest LMIv22 image for v3.x (#5640)
• Migration guide update (#5655)
• AWS Batch integ test resources are now uniquely named by test run (#5666)

v3.6.0 (2026-03-19)

Fixes

• HyperparameterTuner: Include sm_drivers channel in HyperparameterTuner jobs (#5516)
• Pipeline: Fix handling of training step dependencies to allow successful pipeline creation
• ModelBuilder: Fix the bug in deploy from LORA finetuning job

Features

• Feature Processor: Port feature processor to v3
• Jumpstart: Add EUSC region config for JumpStart

... (truncated)

Commits

• 98683ac chore: Bump version to 3.8.0 for release (#5768)
• cbed9a3 Feature store lakeformation (#5599)
• 3e51f03 fix(eval): resolve mlflow_resource_arn in _get_base_template_context (#5758)
• e3adb80 Feature Store Iceberg Properties (#5685)
• 6b4a35f feature: Torch dependency in sagameker-core to be made optional (5457) (#5713)
• 215713f fix: load_feature_definitions_from_dataframe() doesn't recognize pandas nulla...
• b6d86f6 fix: MLFlow E2E Example Notebook (5513) (#5727)
• fb6bb86 fix: Invalid import (5637) (#5723)
• daf19b0 Fix: Add mlflowconfig to eval base model (#5745)
• 6134e57 fix: build timeout for readthedocs (#5744)
• Additional commits viewable in compare view