feature: add telemetry attribution module for SDK usage provenance

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

@@ -15,5 +15,8 @@
 # Partner App
 from sagemaker.core.partner_app.auth_provider import PartnerAppAuthProvider  # noqa: F401
 
+# Attribution
+from sagemaker.core.telemetry.attribution import Attribution, set_attribution  # noqa: F401
+
 # Note: HyperparameterTuner and WarmStartTypes are in sagemaker.train.tuner
 # They are not re-exported from core to avoid circular dependencies

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

@@ -0,0 +1,41 @@
+# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License"). You
+# may not use this file except in compliance with the License. A copy of
+# the License is located at
+#
+#     http://aws.amazon.com/apache2.0/
+#
+# or in the "license" file accompanying this file. This file is
+# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
+# ANY KIND, either express or implied. See the License for the specific
+# language governing permissions and limitations under the License.
+"""Attribution module for tracking the provenance of SDK usage."""
+from __future__ import absolute_import
+import os
+from enum import Enum
+
+_CREATED_BY_ENV_VAR = "SAGEMAKER_PYSDK_CREATED_BY"
+
+
+class Attribution(Enum):
+    """Enumeration of known SDK attribution sources."""
+
+    SAGEMAKER_AGENT_PLUGIN = "awslabs/agent-plugins/sagemaker-ai"
+
+
+def set_attribution(attribution: Attribution):
+    """Sets the SDK usage attribution to the specified source.
+
+    Call this at the top of scripts generated by an agent or integration
+    to enable accurate telemetry attribution.
+
+    Args:
+        attribution (Attribution): The attribution source to set.
+
+    Raises:
+        TypeError: If attribution is not an Attribution enum member.
+    """
+    if not isinstance(attribution, Attribution):
+        raise TypeError(f"attribution must be an Attribution enum member, got {type(attribution)}")
+    os.environ[_CREATED_BY_ENV_VAR] = attribution.value

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

@@ -0,0 +1,47 @@
+# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License"). You
+# may not use this file except in compliance with the License. A copy of
+# the License is located at
+#
+#     http://aws.amazon.com/apache2.0/
+#
+# or in the "license" file accompanying this file. This file is
+# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
+# ANY KIND, either express or implied. See the License for the specific
+# language governing permissions and limitations under the License.
+"""Resource creation module for tracking ARNs of resources created via SDK calls."""
+from __future__ import absolute_import
+
+# Maps class name (string) to the attribute name holding the resource ARN.
+# String-based keys avoid cross-package imports and circular dependencies.
+_RESOURCE_ARN_ATTRIBUTES = {
+    "TrainingJob": "training_job_arn",
+}
+
+
+def get_resource_arn(response):
+    """Extract the ARN from a SDK response object if available.
+
+    Uses string-based type name lookup to avoid cross-package imports.
+
+    Args:
+        response: The return value of a _telemetry_emitter-decorated function.
+
+    Returns:
+        str: The ARN string if available, otherwise None.
+    """
+    if response is None:
+        return None
+
+    arn_attr = _RESOURCE_ARN_ATTRIBUTES.get(type(response).__name__)
+    if not arn_attr:
+        return None
+
+    arn = getattr(response, arn_attr, None)
+
+    # Guard against Unassigned sentinel used in resources.py
+    if not arn or type(arn).__name__ == "Unassigned":
+        return None
+
+    return str(arn)

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

@@ -13,15 +13,19 @@
 """Telemetry module for SageMaker Python SDK to collect usage data and metrics."""
 from __future__ import absolute_import
 import logging
+import os
 import platform
 import sys
 from time import perf_counter
 from typing import List
 import functools
 import requests
+from urllib.parse import quote
 
 import boto3
 from sagemaker.core.helper.session_helper import Session
+from sagemaker.core.telemetry.attribution import _CREATED_BY_ENV_VAR
+from sagemaker.core.telemetry.resource_creation import get_resource_arn
 from sagemaker.core.common_utils import resolve_value_from_config
 from sagemaker.core.config.config_schema import TELEMETRY_OPT_OUT_PATH
 from sagemaker.core.telemetry.constants import (
@@ -81,7 +85,7 @@ def wrapper(*args, **kwargs):
             sagemaker_session = None
             if len(args) > 0 and hasattr(args[0], "sagemaker_session"):
                 # Get the sagemaker_session from the instance method args
-                sagemaker_session = args[0].sagemaker_session
+                sagemaker_session = args[0].sagemaker_session or _get_default_sagemaker_session()
             elif len(args) > 0 and hasattr(args[0], "_sagemaker_session"):
                 # Get the sagemaker_session from the instance method args (private attribute)
                 sagemaker_session = args[0]._sagemaker_session
@@ -137,13 +141,23 @@ def wrapper(*args, **kwargs):
                 if hasattr(sagemaker_session, "endpoint_arn") and sagemaker_session.endpoint_arn:
                     extra += f"&x-endpointArn={sagemaker_session.endpoint_arn}"
 
+                # Add created_by from environment variable if available
+                created_by = os.environ.get(_CREATED_BY_ENV_VAR, "")
+                if created_by:
+                    extra += f"&x-createdBy={quote(created_by, safe='')}"
+
                 start_timer = perf_counter()
                 try:
                     # Call the original function
                     response = func(*args, **kwargs)
                     stop_timer = perf_counter()
                     elapsed = stop_timer - start_timer
                     extra += f"&x-latency={round(elapsed, 2)}"
+                    # For specified response types (e.g., TrainingJob), obtain the ARN of the
+                    # resource created if present so that it can be included.
+                    resource_arn = get_resource_arn(response)
+                    if resource_arn:
+                        extra += f"&x-resourceArn={resource_arn}"
                     if not telemetry_opt_out_flag:
                         _send_telemetry_request(
                             STATUS_TO_CODE[str(Status.SUCCESS)],

sagemaker-core/src/sagemaker/core/utils/user_agent.py

@@ -17,7 +17,31 @@
 
 import importlib_metadata
 
+from string import ascii_letters, digits
+
+from sagemaker.core.telemetry.attribution import _CREATED_BY_ENV_VAR
+
 SagemakerCore_PREFIX = "AWS-SageMakerCore"
+
+_USERAGENT_ALLOWED_CHARACTERS = ascii_letters + digits + "!$%&'*+-.^_`|~,"
+
+
+def sanitize_user_agent_string_component(raw_str, allow_hash=False):
+    """Sanitize a User-Agent string component by replacing disallowed characters with '-'.
+
+    Args:
+        raw_str (str): The input string to sanitize.
+        allow_hash (bool): Whether '#' is considered an allowed character.
+
+    Returns:
+        str: The sanitized string.
+    """
+    return "".join(
+        c if c in _USERAGENT_ALLOWED_CHARACTERS or (allow_hash and c == "#") else "-"
+        for c in raw_str
+    )
+
+
 STUDIO_PREFIX = "AWS-SageMaker-Studio"
 NOTEBOOK_PREFIX = "AWS-SageMaker-Notebook-Instance"
 
@@ -74,4 +98,9 @@ def get_user_agent_extra_suffix() -> str:
     if studio_app_type:
         suffix = "{} md/{}#{}".format(suffix, STUDIO_PREFIX, studio_app_type)
 
+    # Add created_by metadata if attribution has been set
+    created_by = os.environ.get(_CREATED_BY_ENV_VAR)
+    if created_by:
+        suffix = "{} md/{}#{}".format(suffix, "createdBy", sanitize_user_agent_string_component(created_by))
+
     return suffix

sagemaker-core/tests/unit/generated/test_user_agent.py

@@ -1,21 +1,12 @@
-# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License"). You
-# may not use this file except in compliance with the License. A copy of
-# the License is located at
-#
-#     http://aws.amazon.com/apache2.0/
-#
-# or in the "license" file accompanying this file. This file is
-# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
-# ANY KIND, either express or implied. See the License for the specific
-# language governing permissions and limitations under the License.
 from __future__ import absolute_import
 
 import json
+import os
 from mock import patch, mock_open
 
+import pytest
 
+from sagemaker.core.telemetry.attribution import _CREATED_BY_ENV_VAR
 from sagemaker.core.utils.user_agent import (
     SagemakerCore_PREFIX,
     SagemakerCore_VERSION,
@@ -24,8 +15,15 @@
     process_notebook_metadata_file,
     process_studio_metadata_file,
     get_user_agent_extra_suffix,
+    sanitize_user_agent_string_component,
 )
-from sagemaker.core.utils.user_agent import SagemakerCore_PREFIX
+
+
+@pytest.fixture(autouse=True)
+def clean_env():
+    yield
+    if _CREATED_BY_ENV_VAR in os.environ:
+        del os.environ[_CREATED_BY_ENV_VAR]
 
 
 # Test process_notebook_metadata_file function
@@ -58,6 +56,27 @@ def test_process_studio_metadata_file_not_exists(tmp_path):
         assert process_studio_metadata_file() is None
 
 
+# Test sanitize_user_agent_string_component function
+def test_sanitize_replaces_slash_with_dash():
+    assert sanitize_user_agent_string_component("awslabs/agent-plugins/sagemaker-ai") == "awslabs-agent-plugins-sagemaker-ai"
+
+
+def test_sanitize_allows_alphanumeric():
+    assert sanitize_user_agent_string_component("abc123") == "abc123"
+
+
+def test_sanitize_replaces_hash_when_not_allowed():
+    assert sanitize_user_agent_string_component("foo#bar") == "foo-bar"
+
+
+def test_sanitize_allows_hash_when_permitted():
+    assert sanitize_user_agent_string_component("foo#bar", allow_hash=True) == "foo#bar"
+
+
+def test_sanitize_replaces_space_with_dash():
+    assert sanitize_user_agent_string_component("foo bar") == "foo-bar"
+
+
 # Test get_user_agent_extra_suffix function
 def test_get_user_agent_extra_suffix():
     assert get_user_agent_extra_suffix() == f"lib/{SagemakerCore_PREFIX}#{SagemakerCore_VERSION}"
@@ -78,3 +97,20 @@ def test_get_user_agent_extra_suffix():
             get_user_agent_extra_suffix()
             == f"lib/{SagemakerCore_PREFIX}#{SagemakerCore_VERSION} md/{STUDIO_PREFIX}#studio_type"
         )
+
+
+def test_get_user_agent_extra_suffix_without_created_by():
+    suffix = get_user_agent_extra_suffix()
+    assert "createdBy" not in suffix
+
+
+def test_get_user_agent_extra_suffix_with_created_by():
+    os.environ[_CREATED_BY_ENV_VAR] = "awslabs/agent-plugins/sagemaker-ai"
+    suffix = get_user_agent_extra_suffix()
+    assert "md/createdBy#awslabs-agent-plugins-sagemaker-ai" in suffix
+
+
+def test_get_user_agent_extra_suffix_created_by_sanitized():
+    os.environ[_CREATED_BY_ENV_VAR] = "my agent/v1.0 (test)"
+    suffix = get_user_agent_extra_suffix()
+    assert "md/createdBy#my-agent-v1.0--test-" in suffix

sagemaker-core/tests/unit/telemetry/test_attribution.py

@@ -0,0 +1,37 @@
+# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License"). You
+# may not use this file except in compliance with the License. A copy of
+# the License is located at
+#
+#     http://aws.amazon.com/apache2.0/
+#
+# or in the "license" file accompanying this file. This file is
+# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
+# ANY KIND, either express or implied. See the License for the specific
+# language governing permissions and limitations under the License.
+from __future__ import absolute_import
+import os
+import pytest
+from sagemaker.core.telemetry.attribution import (
+    _CREATED_BY_ENV_VAR,
+    Attribution,
+    set_attribution,
+)
+
+
+@pytest.fixture(autouse=True)
+def clean_env():
+    yield
+    if _CREATED_BY_ENV_VAR in os.environ:
+        del os.environ[_CREATED_BY_ENV_VAR]
+
+
+def test_set_attribution_sagemaker_agent_plugin():
+    set_attribution(Attribution.SAGEMAKER_AGENT_PLUGIN)
+    assert os.environ[_CREATED_BY_ENV_VAR] == Attribution.SAGEMAKER_AGENT_PLUGIN.value
+
+
+def test_set_attribution_invalid_type_raises():
+    with pytest.raises(TypeError):
+        set_attribution("awslabs/agent-plugins/sagemaker-ai")

sagemaker-core/tests/unit/telemetry/test_resource_creation.py

@@ -0,0 +1,74 @@
+# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License"). You
+# may not use this file except in compliance with the License. A copy of
+# the License is located at
+#
+#     http://aws.amazon.com/apache2.0/
+#
+# or in the "license" file accompanying this file. This file is
+# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
+# ANY KIND, either express or implied. See the License for the specific
+# language governing permissions and limitations under the License.
+from __future__ import absolute_import
+import pytest
+from unittest.mock import MagicMock
+from sagemaker.core.utils.utils import Unassigned
+from sagemaker.core.telemetry.resource_creation import _RESOURCE_ARN_ATTRIBUTES, get_resource_arn
+
+
+# Each entry: (class_name, arn_attr, arn_value)
+_RESOURCE_TEST_CASES = [
+    (
+        "TrainingJob",
+        "training_job_arn",
+        "arn:aws:sagemaker:us-west-2:123456789012:training-job/my-job",
+    ),
+]
+
+
+def test_get_resource_arn_none_response():
+    assert get_resource_arn(None) is None
+
+
+def test_get_resource_arn_unknown_type():
+    assert get_resource_arn("some string") is None
+    assert get_resource_arn(42) is None
+
+
+@pytest.mark.parametrize("class_name,arn_attr,arn_value", _RESOURCE_TEST_CASES)
+def test_get_resource_arn_with_valid_arn(class_name, arn_attr, arn_value):
+    mock_resource = MagicMock()
+    mock_resource.__class__.__name__ = class_name
+    setattr(mock_resource, arn_attr, arn_value)
+    assert get_resource_arn(mock_resource) == arn_value
+
+
+@pytest.mark.parametrize("class_name,arn_attr,arn_value", _RESOURCE_TEST_CASES)
+def test_get_resource_arn_with_unassigned(class_name, arn_attr, arn_value):
+    mock_resource = MagicMock()
+    mock_resource.__class__.__name__ = class_name
+    setattr(mock_resource, arn_attr, Unassigned())
+    assert get_resource_arn(mock_resource) is None
+
+
+@pytest.mark.parametrize("class_name,arn_attr,arn_value", _RESOURCE_TEST_CASES)
+def test_get_resource_arn_with_none_arn(class_name, arn_attr, arn_value):
+    mock_resource = MagicMock()
+    mock_resource.__class__.__name__ = class_name
+    setattr(mock_resource, arn_attr, None)
+    assert get_resource_arn(mock_resource) is None
+
+
+# Verify string keys in _RESOURCE_ARN_ATTRIBUTES match actual class names
+@pytest.mark.parametrize("class_name,arn_attr,arn_value", _RESOURCE_TEST_CASES)
+def test_resource_class_name_matches_dict_key(class_name, arn_attr, arn_value):
+    from sagemaker.core.resources import TrainingJob
+
+    _CLASS_MAP = {
+        "TrainingJob": TrainingJob,
+    }
+    cls = _CLASS_MAP.get(class_name)
+    assert cls is not None, f"No class found for key '{class_name}'"
+    assert cls.__name__ == class_name
+    assert class_name in _RESOURCE_ARN_ATTRIBUTES