sap-ai-sdk-core
SAP Cloud SDK for AI (Python): Core SDK
Decision gist · record as of 2026-08-14
Yes, if you are working with SAP AI Core. The SDK is actively maintained, has low install friction, and provides the official API access needed to orchestrate ML workflows on SAP's platform. However, verify that the proprietary SAP DEVELOPER LICENSE AGREEMENT terms are acceptable for your use case, and confirm you have valid SAP AI Core credentials before adoption.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires SAP AI Core tenant credentials (base URL, auth URL, client ID, client secret) from your SAP subaccount Service Key.
- Low install friction with only 2 runtime dependencies.
- Actively maintained with a recent release 137 days ago.
License · maintenance · safety
SAP DEVELOPER LICENSE AGREEMENT (unclear) — Licensed under SAP DEVELOPER LICENSE AGREEMENT (proprietary, not SPDX-identified). Verify terms align with your use case before adopting in production or commercial contexts.
last release 2026-03-30 (137 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 194,620 downloads/mo, #9,826 on PyPI
Alternatives
Verify before relying
pip install sap-ai-sdk-core
from sap_ai_sdk_core import AICoreV2Client
client = AICoreV2Client(
base_url="https://your-ai-core-url",
auth_url="https://your-auth-url",
client_id="your-client-id",
client_secret="your-client-secret",
resource_group="your-resource-group"
)- Whether the proprietary SAP DEVELOPER LICENSE AGREEMENT permits redistribution or use in open-source projects.
- Whether metrics persistence in local environments is now available (description notes it was not available at time of writing).
- Support status and SLA for the rebranded package versus the former AI Core SDK.
- Exact module and class names available in the public API surface.
What it is and what it does
This is the official Python SDK for SAP AI Core, a managed service for training and deploying machine learning models on SAP's cloud infrastructure. It provides a client library to interact with SAP AI Core's public APIs, enabling you to execute batch pipelines for model training or inference, deploy trained models as web services, manage resource groups and object stores, and log metrics during workflow execution.
The SDK depends on sap-ai-sdk-base and click, and supports Python 3.9 through 3.14 across Linux, macOS, and Windows. It was recently rebranded but maintains backward compatibility with existing code. Credentials are managed via keyword arguments, environment variables, or a profile configuration file, allowing flexible deployment across local development and production environments.
Use it for
- Execute batch training pipelines on SAP AI Core to preprocess data or train models without managing infrastructure.
- Deploy a trained machine learning model as a managed web service to handle inference requests at scale.
- Register and manage external Docker registries, Git repositories, and object stores for training data and model artifacts.
- Log and track training metrics consistently across local and production workflow executions.
- Manage resource groups and object store secrets to organize and secure ML workloads across multiple SAP subaccounts.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are working with SAP AI Core.
The SDK is actively maintained, has low install friction, and provides the official API access needed to orchestrate ML workflows on SAP's platform. However, verify that the proprietary SAP DEVELOPER LICENSE AGREEMENT terms are acceptable for your use case, and confirm you have valid SAP AI Core credentials before adoption.
Install
sap-ai-sdk-core on PyPI
Before you install
Low install friction with only 2 runtime dependencies. Actively maintained with a recent release 137 days ago. Supports current Python versions (3.9 through 3.14).
Requires SAP AI Core tenant credentials (base URL, auth URL, client ID, client secret) from your SAP subaccount Service Key.
License in practice
Licensed under SAP DEVELOPER LICENSE AGREEMENT (proprietary, not SPDX-identified). Verify terms align with your use case before adopting in production or commercial contexts.
Quickstart
pip install sap-ai-sdk-core
from sap_ai_sdk_core import AICoreV2Client
client = AICoreV2Client(
base_url="https://your-ai-core-url",
auth_url="https://your-auth-url",
client_id="your-client-id",
client_secret="your-client-secret",
resource_group="your-resource-group"
)
Verify before relying
- Whether the proprietary SAP DEVELOPER LICENSE AGREEMENT permits redistribution or use in open-source projects.
- Whether metrics persistence in local environments is now available (description notes it was not available at time of writing).
- Support status and SLA for the rebranded package versus the former AI Core SDK.
- Exact module and class names available in the public API surface.
Package facts
| License | SAP DEVELOPER LICENSE AGREEMENT unclear |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagessap-ai-sdk-baseclick |
| Maintenance | Actively maintained 137 days since the last release |
| First released | |
| Downloads | 194,620 / month, #9,826 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: Other/Proprietary LicenseOperating System :: MacOS :: MacOS XOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Software Development :: Libraries :: Python Modules |
Evidence: sap_ai_sdk_core-3.3.0-py3-none-any.whl
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See also ai-core-sdk · sap-cloud-sdk · sap-ai-sdk-base · ai-api-client-sdk · hana-ml · azure-ai-ml · sap-ai-sdk-gen · generative-ai-hub-sdk · azureml-pipeline-core · azureml-pipeline