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fix: Transformer tags pydantic validation and shape compatibility - #6103

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Fixes#6090

Problem

Transformer.transform() has two tag-handling issues in sagemaker-core:

  1. pydantic.ValidationError (extra_forbidden) because tags/Tags are passed through to TransformJob, which does not accept extra fields.
  2. Backend rejects tags when they are shaped as [{"key": "foo", "value": "bar"}] instead of the canonical [{"Key": "foo", "Value": "bar"}].

Fix

  • Pop tags/Tags from the transformed dict before constructing TransformJob.
  • Normalize tag casing to Key/Value before calling CreateTransformJob.

Scope

sagemaker-core/src/sagemaker/core/transformer.py and sagemaker-core/src/sagemaker/core/clarify/__init__.py.

Verification

TransformJob creation now succeeds with tags in either casing, and pydantic validation no longer raises extra_forbidden.

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By the way, I've really been enjoying contributing to this project! My goal is to get more involved in open source to help maintain projects and learn from great engineering teams. Is there a process or pathway for becoming a member of the aws GitHub organization? I'd love to continue helping out where I can!

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Hey 👋 Just a friendly ping on this one — fixes Transformer tags pydantic validation and shape compatibility. Ready for review when you get a chance! 🙏

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wasim-buildsforce-pushed the fix/issue-6090-transformer-tags branch from 08549a1 to 2c6b973CompareJuly 29, 2026 05:21
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Hey 👋 Just a friendly bump — this fixes the Transformer tags pydantic validation error and shape compatibility issue. Ready for review whenever you have a moment! 🙏

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Transformer.transform() raises pydantic ValidationError ("tags: extra_forbidden") after submitting the job when tags are set

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fix: Transformer tags pydantic validation and shape compatibility by wasim-builds · Pull Request #6103 · aws/sagemaker-python-sdk · GitHub
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fix: Transformer tags pydantic validation and shape compatibility - #6103
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fix: Transformer tags pydantic validation and shape compatibility#6103
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Fixes#6090
Problem
Transformer.transform() has two tag-handling issues in sagemaker-core:
  1. pydantic.ValidationError (extra_forbidden) because tags/Tags are passed through to TransformJob, which does not accept extra fields.
  2. Backend rejects tags when they are shaped as [{"key": "foo", "value": "bar"}] instead of the canonical [{"Key": "foo", "Value": "bar"}].
Fix
  • Pop tags/Tags from the transformed dict before constructing TransformJob.
  • Normalize tag casing to Key/Value before calling CreateTransformJob.
Scope
sagemaker-core/src/sagemaker/core/transformer.py and sagemaker-core/src/sagemaker/core/clarify/__init__.py.
Verification
TransformJob creation now succeeds with tags in either casing, and pydantic validation no longer raises extra_forbidden.
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By the way, I've really been enjoying contributing to this project! My goal is to get more involved in open source to help maintain projects and learn from great engineering teams. Is there a process or pathway for becoming a member of the aws GitHub organization? I'd love to continue helping out where I can!
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Hey 👋 Just a friendly ping on this one — fixes Transformer tags pydantic validation and shape compatibility. Ready for review when you get a chance! 🙏
@wasim-builds
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Hey 👋 Just a friendly bump — this fixes the Transformer tags pydantic validation error and shape compatibility issue. Ready for review whenever you have a moment! 🙏
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fix: Transformer tags pydantic validation and shape compatibility by wasim-builds · Pull Request #6103 · aws/sagemaker-python-sdk · GitHub
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fix: Transformer tags pydantic validation and shape compatibility - #6103
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Fixes#6090
Problem
Transformer.transform() has two tag-handling issues in sagemaker-core:
  1. pydantic.ValidationError (extra_forbidden) because tags/Tags are passed through to TransformJob, which does not accept extra fields.
  2. Backend rejects tags when they are shaped as [{"key": "foo", "value": "bar"}] instead of the canonical [{"Key": "foo", "Value": "bar"}].
Fix
  • Pop tags/Tags from the transformed dict before constructing TransformJob.
  • Normalize tag casing to Key/Value before calling CreateTransformJob.
Scope
sagemaker-core/src/sagemaker/core/transformer.py and sagemaker-core/src/sagemaker/core/clarify/__init__.py.
Verification
TransformJob creation now succeeds with tags in either casing, and pydantic validation no longer raises extra_forbidden.
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By the way, I've really been enjoying contributing to this project! My goal is to get more involved in open source to help maintain projects and learn from great engineering teams. Is there a process or pathway for becoming a member of the aws GitHub organization? I'd love to continue helping out where I can!
@wasim-builds
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Hey 👋 Just a friendly ping on this one — fixes Transformer tags pydantic validation and shape compatibility. Ready for review when you get a chance! 🙏
@wasim-builds
wasim-buildsforce-pushed
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fix/issue-6090-transformer-tags
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Hey 👋 Just a friendly bump — this fixes the Transformer tags pydantic validation error and shape compatibility issue. Ready for review whenever you have a moment! 🙏
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Transformer.transform() raises pydantic ValidationError ("tags: extra_forbidden") after submitting the job when tags are set


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fix: Transformer tags pydantic validation and shape compatibility by wasim-builds · Pull Request #6103 · aws/sagemaker-python-sdk · GitHub
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fix: Transformer tags pydantic validation and shape compatibility - #6103
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wasim-builds:fix/issue-6090-transformer-tags
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Fixes#6090
Problem
Transformer.transform() has two tag-handling issues in sagemaker-core:
  1. pydantic.ValidationError (extra_forbidden) because tags/Tags are passed through to TransformJob, which does not accept extra fields.
  2. Backend rejects tags when they are shaped as [{"key": "foo", "value": "bar"}] instead of the canonical [{"Key": "foo", "Value": "bar"}].
Fix
  • Pop tags/Tags from the transformed dict before constructing TransformJob.
  • Normalize tag casing to Key/Value before calling CreateTransformJob.
Scope
sagemaker-core/src/sagemaker/core/transformer.py and sagemaker-core/src/sagemaker/core/clarify/__init__.py.
Verification
TransformJob creation now succeeds with tags in either casing, and pydantic validation no longer raises extra_forbidden.
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Author
By the way, I've really been enjoying contributing to this project! My goal is to get more involved in open source to help maintain projects and learn from great engineering teams. Is there a process or pathway for becoming a member of the aws GitHub organization? I'd love to continue helping out where I can!
@wasim-builds
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Hey 👋 Just a friendly ping on this one — fixes Transformer tags pydantic validation and shape compatibility. Ready for review when you get a chance! 🙏
@wasim-builds
wasim-buildsforce-pushed
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fix/issue-6090-transformer-tags
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Hey 👋 Just a friendly bump — this fixes the Transformer tags pydantic validation error and shape compatibility issue. Ready for review whenever you have a moment! 🙏
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Transformer.transform() raises pydantic ValidationError ("tags: extra_forbidden") after submitting the job when tags are set


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fix: Transformer tags pydantic validation and shape compatibility by wasim-builds · Pull Request #6103 · aws/sagemaker-python-sdk · GitHub
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fix: Transformer tags pydantic validation and shape compatibility - #6103
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Fixes#6090
Problem
Transformer.transform() has two tag-handling issues in sagemaker-core:
  1. pydantic.ValidationError (extra_forbidden) because tags/Tags are passed through to TransformJob, which does not accept extra fields.
  2. Backend rejects tags when they are shaped as [{"key": "foo", "value": "bar"}] instead of the canonical [{"Key": "foo", "Value": "bar"}].
Fix
  • Pop tags/Tags from the transformed dict before constructing TransformJob.
  • Normalize tag casing to Key/Value before calling CreateTransformJob.
Scope
sagemaker-core/src/sagemaker/core/transformer.py and sagemaker-core/src/sagemaker/core/clarify/__init__.py.
Verification
TransformJob creation now succeeds with tags in either casing, and pydantic validation no longer raises extra_forbidden.
@wasim-builds
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By the way, I've really been enjoying contributing to this project! My goal is to get more involved in open source to help maintain projects and learn from great engineering teams. Is there a process or pathway for becoming a member of the aws GitHub organization? I'd love to continue helping out where I can!
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Hey 👋 Just a friendly ping on this one — fixes Transformer tags pydantic validation and shape compatibility. Ready for review when you get a chance! 🙏
@wasim-builds
wasim-buildsforce-pushed
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fix/issue-6090-transformer-tags
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Hey 👋 Just a friendly bump — this fixes the Transformer tags pydantic validation error and shape compatibility issue. Ready for review whenever you have a moment! 🙏
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Transformer.transform() raises pydantic ValidationError ("tags: extra_forbidden") after submitting the job when tags are set


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fix: Transformer tags pydantic validation and shape compatibility by wasim-builds · Pull Request #6103 · aws/sagemaker-python-sdk · GitHub
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fix: Transformer tags pydantic validation and shape compatibility - #6103
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fix: Transformer tags pydantic validation and shape compatibility#6103
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Fixes#6090
Problem
Transformer.transform() has two tag-handling issues in sagemaker-core:
  1. pydantic.ValidationError (extra_forbidden) because tags/Tags are passed through to TransformJob, which does not accept extra fields.
  2. Backend rejects tags when they are shaped as [{"key": "foo", "value": "bar"}] instead of the canonical [{"Key": "foo", "Value": "bar"}].
Fix
  • Pop tags/Tags from the transformed dict before constructing TransformJob.
  • Normalize tag casing to Key/Value before calling CreateTransformJob.
Scope
sagemaker-core/src/sagemaker/core/transformer.py and sagemaker-core/src/sagemaker/core/clarify/__init__.py.
Verification
TransformJob creation now succeeds with tags in either casing, and pydantic validation no longer raises extra_forbidden.
@wasim-builds
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By the way, I've really been enjoying contributing to this project! My goal is to get more involved in open source to help maintain projects and learn from great engineering teams. Is there a process or pathway for becoming a member of the aws GitHub organization? I'd love to continue helping out where I can!
@wasim-builds
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Hey 👋 Just a friendly ping on this one — fixes Transformer tags pydantic validation and shape compatibility. Ready for review when you get a chance! 🙏
@wasim-builds
wasim-buildsforce-pushed
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fix/issue-6090-transformer-tags
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Hey 👋 Just a friendly bump — this fixes the Transformer tags pydantic validation error and shape compatibility issue. Ready for review whenever you have a moment! 🙏
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Transformer.transform() raises pydantic ValidationError ("tags: extra_forbidden") after submitting the job when tags are set


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})();
})();
fix: Transformer tags pydantic validation and shape compatibility by wasim-builds · Pull Request #6103 · aws/sagemaker-python-sdk · GitHub
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fix: Transformer tags pydantic validation and shape compatibility - #6103
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Fixes#6090
Problem
Transformer.transform() has two tag-handling issues in sagemaker-core:
  1. pydantic.ValidationError (extra_forbidden) because tags/Tags are passed through to TransformJob, which does not accept extra fields.
  2. Backend rejects tags when they are shaped as [{"key": "foo", "value": "bar"}] instead of the canonical [{"Key": "foo", "Value": "bar"}].
Fix
  • Pop tags/Tags from the transformed dict before constructing TransformJob.
  • Normalize tag casing to Key/Value before calling CreateTransformJob.
Scope
sagemaker-core/src/sagemaker/core/transformer.py and sagemaker-core/src/sagemaker/core/clarify/__init__.py.
Verification
TransformJob creation now succeeds with tags in either casing, and pydantic validation no longer raises extra_forbidden.
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Jul 25, 2026

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By the way, I've really been enjoying contributing to this project! My goal is to get more involved in open source to help maintain projects and learn from great engineering teams. Is there a process or pathway for becoming a member of the aws GitHub organization? I'd love to continue helping out where I can!
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Jul 27, 2026

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Hey 👋 Just a friendly ping on this one — fixes Transformer tags pydantic validation and shape compatibility. Ready for review when you get a chance! 🙏
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Jul 29, 2026

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Hey 👋 Just a friendly bump — this fixes the Transformer tags pydantic validation error and shape compatibility issue. Ready for review whenever you have a moment! 🙏
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Transformer.transform() raises pydantic ValidationError ("tags: extra_forbidden") after submitting the job when tags are set


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