SAP Cloud SDK for AI is the official Software Development Kit (SDK) for SAP AI Core, SAP Generative AI Hub, and Orchestration Service. This is the client for the Orchestration Service.
| License | Apache 2.0 |
|---|---|
| Tags | sdkaisaporchestration |
| Organization | SAP SE |
| HomePage | https://github.com/SAP/ai-sdk-java?tab=readme-ov-file#docume ... 🔍 Inspect URL |
| Date | Oct 30, 2025 |
| Files | pom (7 KB) jar (558 KB) View All |
| Repositories | Central |
| Ranking | #642134 in MvnRepository (See Top Artifacts) |
Compile Dependencies (18)
Provided Dependencies (1)
| Category/License | Group / Artifact | Version | Updates | |
|---|---|---|---|---|
| CodeGen MIT | org.projectlombok » lombok | 1.18.42 | ✔ |
Test Dependencies (7)
| Category/License | Group / Artifact | Version | Updates | |
|---|---|---|---|---|
| Java Compiler/Parser Apache 2.0LGPL 3.0 | com.github.javaparser » javaparser-core | 3.27.1 | ✔ | |
| Assertion Apache 2.0 | org.assertj » assertj-core | 3.27.6 | ✔ | |
| Testing EPL 2.0 | org.junit.jupiter » junit-jupiter-api | 6.0.0 | 6.0.1 | |
| Testing EPL 2.0 | org.junit.jupiter » junit-jupiter-params | 6.0.0 | 6.0.1 | |
| Mocking MIT | org.mockito » mockito-core | 5.20.0 | ✔ | |
Apache 2.0 | org.springframework.ai » spring-ai-client-chat (optional) | 1.0.3 | 1.1.0 | |
| Mocking Apache 2.0 | org.wiremock » wiremock | 3.13.1 | 3.13.2 |
Licenses
| License | URL |
|---|---|
| The Apache Software License, Version 2.0 | https://www.apache.org/licenses/LICENSE-2.0.txt |
Developers
| Name | Dev Id | Roles | Organization | |
|---|---|---|---|---|
| SAP | cloudsdk<at>sap.com | SAP SE |
Related Books
| Applied AI for Enterprise Java Development: Leveraging Generative AI, LLMs, and Machine Learning in the Java Enterprise (2025) by Bueno, Alex Soto, Eisele, Markus, Vinto, Natale | |
| AI for Everyday IT: Accelerate workplace productivity (2025) by LeMaire, Chrissy, Abshire, Brandon | |
| The AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Develop and Scale Production Ready AI Systems (2025) by Caldwell, Thomas R. | |
| AI Engineering: Building Applications with Foundation Models (2025) by Huyen, Chip | |
| AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence (2020) by Moroney, Laurence |