Merge branch 'aws:master' into feat/conda-forge-release

Author: mollyheamazon

CHANGELOG.md

@@ -1,4 +1,13 @@
 # Changelog
+## 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

VERSION

@@ -1 +1 @@
-3.7.0
+3.7.1

pyproject.toml

@@ -33,10 +33,10 @@ classifiers = [
   "Programming Language :: Python :: 3.12",
 ]
 dependencies = [
-  "sagemaker-core>=2.7.0,<3.0.0",
-  "sagemaker-train>=1.7.0,<2.0.0",
-  "sagemaker-serve>=1.7.0,<2.0.0",
-  "sagemaker-mlops>=1.7.0,<2.0.0",
+  "sagemaker-core>=2.7.1,<3.0.0",
+  "sagemaker-train>=1.7.1,<2.0.0",
+  "sagemaker-serve>=1.7.1,<2.0.0",
+  "sagemaker-mlops>=1.7.1,<2.0.0",
 ]
 
 [project.optional-dependencies]

sagemaker-core/CHANGELOG.md

@@ -1,4 +1,15 @@
 # Changelog
+## v2.7.1 (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)
+
+### Bug 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
+
 ## v2.7.0 (2026-03-25)
 
 ### Bug fixes and Other Changes

sagemaker-core/VERSION

@@ -1 +1 @@
-2.7.0
+2.7.1

sagemaker-core/src/sagemaker/core/image_uri_config/djl-lmi.json

@@ -46,7 +46,7 @@
                 "mx-central-1": "637423239942"
             },
             "repository": "djl-inference",
-            "tag_prefix": "0.36.0-lmi22.0.0-cu129"
+            "tag_prefix": "0.36.0-lmi23.0.0-cu129"
         },
         "0.35.0": {
             "registries": {

sagemaker-core/src/sagemaker/core/processing.py

@@ -77,6 +77,8 @@
 from sagemaker.core.workflow.execution_variables import ExecutionVariables
 from sagemaker.core.workflow.functions import Join
 from sagemaker.core.workflow.pipeline_context import runnable_by_pipeline
+from sagemaker.core.telemetry.telemetry_logging import _telemetry_emitter
+from sagemaker.core.telemetry.constants import Feature
 
 from sagemaker.core._studio import _append_project_tags
 from sagemaker.core.config.config_utils import _append_sagemaker_config_tags
@@ -771,6 +773,7 @@ def __init__(
             network_config=network_config,
         )
 
+    @_telemetry_emitter(feature=Feature.PROCESSING, func_name="ScriptProcessor.run")
     @runnable_by_pipeline
     def run(
         self,
@@ -1171,6 +1174,7 @@ def _package_code(
             os.unlink(tmp.name)
             return s3_uri
 
+    @_telemetry_emitter(feature=Feature.PROCESSING, func_name="FrameworkProcessor.run")
     @runnable_by_pipeline
     def run(
         self,

sagemaker-core/src/sagemaker/core/telemetry/constants.py

@@ -29,6 +29,7 @@ class Feature(Enum):
     MODEL_CUSTOMIZATION = 15
     MLOPS = 16
     FEATURE_STORE = 17
+    PROCESSING = 18
 
     def __str__(self):  # pylint: disable=E0307
         """Return the feature name."""

sagemaker-core/src/sagemaker/core/telemetry/telemetry_logging.py

@@ -61,6 +61,7 @@
     str(Feature.MODEL_CUSTOMIZATION): 15,
     str(Feature.MLOPS): 16,
     str(Feature.FEATURE_STORE): 17,
+    str(Feature.PROCESSING): 18,
 }
 
 STATUS_TO_CODE = {

sagemaker-core/tests/unit/image_uris/test_djl.py

@@ -86,7 +86,7 @@ def _test_djl_uris(account, region, version, tag, djl_framework):
 # Known missing framework:version:region combinations that don't exist in ECR
 KNOWN_MISSING_COMBINATIONS = {
     "djl-lmi": {
-        "0.36.0-lmi22.0.0-cu129": {"ap-east-2"},
+        "0.36.0-lmi23.0.0-cu129": {"ap-east-2"},
         "0.35.0-lmi17.0.0-cu128": {"ap-east-2"},
         "0.34.0-lmi16.0.0-cu128": {"ap-east-2"},
         "0.33.0-lmi15.0.0-cu128": {"ap-east-2"},