aws · mujtaba1747 · May 19, 2026 · May 19, 2026
diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -1,4 +1,23 @@
 # Changelog
+## v3.12.0 (2026-05-19)
+
+### New Features
+- **SageMaker Token Generator** (#5868): Embed the `aws-sagemaker-token-generator` library into `sagemaker.core` so users can generate SageMaker bearer tokens without installing a separate wheel. Usage: `from sagemaker.core.aws_sagemaker_token_generator import provide_token`
+- **Feature Processor - Lake Formation credential vending** (#5816): Add configurable `use_lake_formation_credentials` parameter to the `@feature_processor` decorator, enabling Lake Formation credential vending when set to `True`.
+- **Feature Processor - Spark 3.5 / Python 3.12 support** (#5816): Dynamic Spark image resolution based on installed PySpark and Python versions. Supports Spark 3.1/3.2/3.3/3.5 with Python 3.9 and 3.12. Auto-installs `sagemaker-feature-store-pyspark` for Spark remote jobs.
+- **Feature Processor - Stored function signing key** (#5816): Generate ECDSA signing key in `ConfigUploader` for function payload signature verification.
+- **Feature Store - Export IcebergProperties** (#5816): Add `IcebergProperties` to the `feature_store` public API surface.
+
+### Documentation
+- None
+
+### Bug Fixes
+- **Networking** `vpc_config` AttributeError and telemetry region fallback (#5839): Fix `AttributeError` on `vpc_config` in networking and telemetry region fallback for classmethods.
+- **Add CustomAttributes field to DefaultPayloadsModel** (#5870): Add missing `CustomAttributes` field to `DefaultPayloadsModel`.
+- **sagemaker-core**: Preserve falsy values in `serialize()` output (#5860): Fix bug where `False`, `0`, and `""` were silently dropped by `serialize()` due to truthy check. This caused issues like `optimize_model=False` being sent as `True`.
+- **serve**: Prevent code injection in `capture_dependencies` path interpolation (#5792): Security fix — use `repr()` escaping to prevent code injection via crafted directory names in `ModelBuilder` with `dependencies={"auto": True}`. (CWE-94, P414309851)
+- **VolumeSizeInGB** missing from v3 deploy for JumpStart models (#5847): Fix `VolumeSizeInGB` not being passed through when deploying models with `inference_volume_size` from JumpStart config.
+
 ## v3.11.0 (2026-05-12)
 
 ### New Features

diff --git a/VERSION b/VERSION
@@ -1 +1 @@
-3.11.0
+3.12.0
diff --git a/pyproject.toml b/pyproject.toml
@@ -33,10 +33,10 @@ classifiers = [
   "Programming Language :: Python :: 3.12",
 ]
 dependencies = [
-  "sagemaker-core>=2.11.0,<3.0.0",
-  "sagemaker-train>=1.11.0,<2.0.0",
-  "sagemaker-serve>=1.11.0,<2.0.0",
-  "sagemaker-mlops>=1.11.0,<2.0.0",
+  "sagemaker-core>=2.12.0,<3.0.0",
+  "sagemaker-train>=1.12.0,<2.0.0",
+  "sagemaker-serve>=1.12.0,<2.0.0",
+  "sagemaker-mlops>=1.12.0,<2.0.0",
 ]
 
 [project.optional-dependencies]

diff --git a/sagemaker-core/CHANGELOG.md b/sagemaker-core/CHANGELOG.md
@@ -1,4 +1,17 @@
 # Changelog
+## v2.12.0 (2026-05-19)
+
+### New Features
+
+- Embed the `aws-sagemaker-token-generator` library into `sagemaker.core` so users can generate SageMaker bearer tokens without installing a separate wheel (#5868)
+- Add Lake Formation credential vending, Spark 3.5/Python 3.12 support, stored function signing key, and export `IcebergProperties` in feature processor (#5816)
+
+### Bug Fixes
+
+- Fix `AttributeError` on `vpc_config` in networking and telemetry region fallback for classmethods (#5839)
+- Add missing `CustomAttributes` field to `DefaultPayloadsModel` (#5870)
+- Preserve falsy values in `serialize()` output — `False`, `0`, and `""` were silently dropped due to truthy check (#5860)
+
 ## v2.11.0 (2026-05-12)
 
 ### New Features

diff --git a/sagemaker-core/VERSION b/sagemaker-core/VERSION
@@ -1 +1 @@
-2.11.0
+2.12.0
diff --git a/sagemaker-mlops/CHANGELOG.md b/sagemaker-mlops/CHANGELOG.md
@@ -1,4 +1,12 @@
 # Changelog
+## v1.12.0 (2026-05-19)
+
+### New Features
+
+- Add configurable `use_lake_formation_credentials` parameter to the `@feature_processor` decorator for Lake Formation credential vending (#5816)
+- Dynamic Spark image resolution supporting Spark 3.5 with Python 3.12 (#5816)
+- Export `IcebergProperties` to the `feature_store` public API surface (#5816)
+
 ## v1.11.0 (2026-05-12)
 
 ### New Features

diff --git a/sagemaker-mlops/VERSION b/sagemaker-mlops/VERSION
@@ -1 +1 @@
-1.11.0
+1.12.0
diff --git a/sagemaker-mlops/pyproject.toml b/sagemaker-mlops/pyproject.toml
@@ -23,9 +23,9 @@ classifiers = [
     "Programming Language :: Python :: 3.12",
 ]
 dependencies = [
-    "sagemaker-core>=2.11.0",
-    "sagemaker-train>=1.11.0",
-    "sagemaker-serve>=1.11.0",
+    "sagemaker-core>=2.12.0",
+    "sagemaker-train>=1.12.0",
+    "sagemaker-serve>=1.12.0",
     "cryptography>=46.0.0",
     "boto3>=1.42.2,<2.0",
     "botocore>=1.42.2,<2.0",

diff --git a/sagemaker-serve/CHANGELOG.md b/sagemaker-serve/CHANGELOG.md
@@ -1,4 +1,12 @@
 # Changelog
+## v1.12.0 (2026-05-19)
+
+### Bug Fixes
+
+- Fix `AttributeError` on `vpc_config` in networking and telemetry region fallback for classmethods (#5839)
+- Prevent code injection in `capture_dependencies` path interpolation via crafted directory names in `ModelBuilder` (#5792)
+- Fix `VolumeSizeInGB` not being passed through when deploying JumpStart models with `inference_volume_size` (#5847)
+
 ## v1.11.0 (2026-05-12)
 
 ### Other

diff --git a/sagemaker-serve/VERSION b/sagemaker-serve/VERSION
@@ -1 +1 @@
-1.11.0
+1.12.0
diff --git a/sagemaker-serve/pyproject.toml b/sagemaker-serve/pyproject.toml
@@ -23,8 +23,8 @@ classifiers = [
     "Programming Language :: Python :: 3.12",
 ]
 dependencies = [
-    "sagemaker-core>=2.11.0",
-    "sagemaker-train>=1.11.0",
+    "sagemaker-core>=2.12.0",
+    "sagemaker-train>=1.12.0",
     "boto3>=1.42.2,<2.0",
     "botocore>=1.35.75,<2.0",
     "deepdiff",

diff --git a/sagemaker-train/CHANGELOG.md b/sagemaker-train/CHANGELOG.md
@@ -1,4 +1,10 @@
 # Changelog
+## v1.12.0 (2026-05-19)
+
+### Other
+
+- Update module dependencies
+
 ## v1.11.0 (2026-05-12)
 
 ### New Features

diff --git a/sagemaker-train/VERSION b/sagemaker-train/VERSION
@@ -1 +1 @@
-1.11.0
+1.12.0
diff --git a/sagemaker-train/pyproject.toml b/sagemaker-train/pyproject.toml
@@ -33,7 +33,7 @@ classifiers = [
   "Programming Language :: Python :: 3.12",
 ]
 dependencies = [
-    "sagemaker-core>=2.11.0",
+    "sagemaker-core>=2.12.0",
     "graphene>=3,<4",
     "typing_extensions>=4.9.0",
     "tblib>=1.7.0",