feat: model customization v3 release PR (#5358)

* Fine-tuning SDK: SFT, RLVR, and RLAIF techniques with standardized parameter design
* AIRegistry Integration: Added CRUD operations for datasets and evaluators
* Enhanced Training Experience: Implemented MLFlow metrics tracking and deployment workflows

Author: rsareddy0329

CHANGELOG.md

@@ -1,5 +1,13 @@
 # Changelog
 
+## v3.1.0 (2025-12-03)
+
+### Features
+
+* Fine-tuning SDK: SFT, RLVR, and RLAIF techniques with standardized parameter design
+* AIRegistry Integration: Added CRUD operations for datasets and evaluators
+* Enhanced Training Experience: Implemented MLFlow metrics tracking and deployment workflows
+
 ## v3.0.1 (2025-11-19)
 
 * Update project dependencies to include submodules: sagemaker-core, sagemaker-train, sagemaker-serve, sagemaker-mlops

VERSION

@@ -1 +1 @@
-3.0.1
+3.1.0

pyproject.toml

@@ -33,10 +33,10 @@ classifiers = [
   "Programming Language :: Python :: 3.12",
 ]
 dependencies = [
-  "sagemaker-core>=2.0.0,<3.0.0",
-  "sagemaker-train<2.0.0",
-  "sagemaker-serve<2.0.0",
-  "sagemaker-mlops<2.0.0",
+  "sagemaker-core>=2.1.0,<3.0.0",
+  "sagemaker-train>=1.1.0,<2.0.0",
+  "sagemaker-serve>=1.1.0,<2.0.0",
+  "sagemaker-mlops>=1.1.0,<2.0.0",
 ]
 
 [project.optional-dependencies]
@@ -59,4 +59,4 @@ addopts = ["-vv"]
 testpaths = ["tests"]
 
 [tool.black]
-line-length = 100
+line-length = 100

sagemaker-core/VERSION

@@ -1 +1,2 @@
-2.0.1
+2.1.0
+

sagemaker-core/pyproject.toml

@@ -12,7 +12,7 @@ authors = [
 readme = "README.rst"
 dependencies = [
   # Add your dependencies here (Include lower and upper bounds as applicable)
-    "boto3>=1.35.75,<2.0.0",
+    "boto3>=1.42.2,<2.0.0",
     "pydantic>=2.0.0,<3.0.0",
     "PyYAML>=6.0, <7.0",
     "jsonschema<5.0.0",

sagemaker-core/resource_plan.csv

@@ -11,5 +11,6 @@
     FrameworkProcessor,
 )
 from sagemaker.core.transformer import Transformer  # noqa: F401
+
 # Note: HyperparameterTuner and WarmStartTypes are in sagemaker.train.tuner
 # They are not re-exported from core to avoid circular dependencies

sagemaker-core/sample/sagemaker/2017-07-24/service-2.json

@@ -113,4 +113,4 @@ def _parse_tags(config):
             {"Key": "sagemaker:project-name", "Value": config["sagemakerProjectName"]},
         ]
     except Exception as e:  # pylint: disable=W0703
-        logger.debug("Could not parse project config. %s", e)
+        logger.debug("Could not parse project config. %s", e)

sagemaker-core/src/sagemaker/core/__init__.py

@@ -225,4 +225,4 @@ def _invoke_api(self, boto_method, boto_method_members):
         api_kwargs = self.to_boto(api_values)
         api_method = getattr(self.sagemaker_session.sagemaker_client, boto_method)
         api_boto_response = api_method(**api_kwargs)
-        return self.with_boto(api_boto_response)
+        return self.with_boto(api_boto_response)