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Update sagemaker requirement from <3,>=2 to >=3.15.1,<4 - #278

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Update sagemaker requirement from <3,>=2 to >=3.15.1,<4#278
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Updates the requirements on sagemaker to permit the latest version.

Release notes

Sourced from sagemaker's releases.

3.15.1

v3.15.1 (2026-07-09)

New Features

  • feat: Add granular telemetry signals decorator params and error classification (#5963)

Bug Fixes

  • fix: always apply evaluator identity keywords and allow explicit domain_id (#5989)
  • fix: ModelBuilder resolves private hub artifacts correctly (#5985)
  • fix: refresh LLMAsJudgeEvaluator allowed evaluator models (#5987)
  • fix: define LAMBDA_ARN_REGEX in finetune_utils to fix RLVRTrainer NameError (#5988)
  • fix: RLVR validation bugfix (#6000)
  • fix: drop claude-sonnet-4-20250514 from evaluator allowlist (#6009)
  • fix(serve): Invoke pip without shell in xgboost install_package (#5981)
  • fix: Correct DJL-LMI ISO/ADC accounts + add THF/ISO-E (djl-lmi, huggingface-llm-neuronx) (#5980)

Documentation

  • docs: Add AGENTS.md and llms.txt for AI agent v3 guidance (#5982)
  • docs: Add SDK-first guidance to AGENTS.md and llms.txt (#5997)
  • docs: Add Version Lifecycle page under Getting Started (#5994)
  • docs: serve robots.txt opting V2 docs out of AI training crawls (#6003)

Other

  • Add Triton Server v26.05 image URI config (#5999)
  • Add sklearn 1.4-2-py312 and xgboost 3.2-0 image URI configs (#6008)
  • test: Fix/v3 tests (#5996)
  • test: wip nova hyperpod integ tests (#5990)
Changelog

Sourced from sagemaker's changelog.

v3.15.1 (2026-07-09)

New Features

  • feat: Add granular telemetry signals decorator params and error classification (#5963)

Bug Fixes

  • fix: always apply evaluator identity keywords and allow explicit domain_id (#5989)
  • fix: ModelBuilder resolves private hub artifacts correctly (#5985)
  • fix: refresh LLMAsJudgeEvaluator allowed evaluator models (#5987)
  • fix: define LAMBDA_ARN_REGEX in finetune_utils to fix RLVRTrainer NameError (#5988)
  • fix: RLVR validation bugfix (#6000)
  • fix: drop claude-sonnet-4-20250514 from evaluator allowlist (#6009)
  • fix(serve): Invoke pip without shell in xgboost install_package (#5981)
  • fix: Correct DJL-LMI ISO/ADC accounts + add THF/ISO-E (djl-lmi, huggingface-llm-neuronx) (#5980)

Documentation

  • docs: Add AGENTS.md and llms.txt for AI agent v3 guidance (#5982)
  • docs: Add SDK-first guidance to AGENTS.md and llms.txt (#5997)
  • docs: Add Version Lifecycle page under Getting Started (#5994)
  • docs: serve robots.txt opting V2 docs out of AI training crawls (#6003)

Other

  • Add Triton Server v26.05 image URI config (#5999)
  • Add sklearn 1.4-2-py312 and xgboost 3.2-0 image URI configs (#6008)
  • test: Fix/v3 tests (#5996)
  • test: wip nova hyperpod integ tests (#5990)

v3.15.0 (2026-06-22)

New Features

  • feat: Training — Recipes - Add 3-level recipe override support with get_resolved_recipe()
  • feat: Training — Recipes - Recipe override handling
  • feat: Training — Recipes - Add Nova-specific recipe validations
  • feat: Training — Recipes - Auto-resolve HyperPod recipe from Hub
  • feat: Training — Compute/Infra - Add Serverless / SMTJ / HyperPod support to trainers and evaluators
  • feat: Training — Compute/Infra - Add infra validation
  • feat: Training — Methods & Data - Enable Data Mixing for Nova models
  • feat: Training — Methods & Data - Add is_multimodal utils function (multimodal data auto-detection)
  • feat: Training — Methods & Data - RLVRTrainer Lambda ARN support
  • feat: Training — Methods & Data - RLVR reward Lambda validation
  • feat: Evaluation - InspectAI evaluator
  • feat: Evaluation - Add Nova as a target for LLM-as-a-Judge (LLMAJ)
  • feat: Evaluation - Support serverful training job checkpoint resolution in InspectAI evaluator
  • feat: Deploy/Setup/Validation - Add Nova SMI config bounds validation to ModelBuilder
  • feat: Deploy/Setup/Validation - IAM role creation (auto-create least-privilege execution roles, SDK-wide)

... (truncated)

Commits
  • bf57c3e Release 3.15.1 (updated) (#6020)
  • e5c1b91 feat: Add granular telemetry signals decorator params and error classificatio...
  • 69f054e fix: always apply evaluator identity keywords and allow explicit domain_id (#...
  • efc1272 wip: nova hyperpod integ tests (#5990)
  • 5c93d56 Release 3.15.1 (#6011)
  • 135e3e9 Correct DJL-LMI ISO/ADC accounts + add THF/ISO-E (djl-lmi, huggingface-llm-ne...
  • 4f14efb add sklearn 1.4-2-py312 and xgboost 3.2-0 image URI configs (#6008)
  • 82990b2 fix(serve): Invoke pip without shell in xgboost install_package (#5981)
  • 3394c7d fix: drop claude-sonnet-4-20250514 from evaluator allowlist (#6009)
  • 943ce0a Fix/v3 tests (#5996)
  • Additional commits viewable in compare view

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Updates the requirements on [sagemaker](https://github.com/aws/sagemaker-python-sdk) to permit the latest version.
- [Release notes](https://github.com/aws/sagemaker-python-sdk/releases)
- [Changelog](https://github.com/aws/sagemaker-python-sdk/blob/master/CHANGELOG.md)
- [Commits](aws/sagemaker-python-sdk@v2.0.0...v3.15.1)

---
updated-dependencies:
- dependency-name: sagemaker
  dependency-version: 3.15.1
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Jul 14, 2026
@dependabot @github

dependabot Bot commented on behalf of github Jul 16, 2026

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Superseded by #281.

@dependabot dependabot Bot closed this Jul 16, 2026
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dependabot Bot deleted the dependabot/pip/sagemaker-gte-3.15.1-and-lt-4 branch July 16, 2026 11:53
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