What problem does it solve?
Integrating AI/LLM capabilities into SAP BTP applications, managing various models, and handling complex features like content filtering, data masking, and document grounding can be time-consuming and complex. This skill simplifies development with SAP AI Core, Generative AI Hub, and Orchestration Service.
Core Features & Use Cases
- Harmonized LLM Access: Seamlessly integrate GPT-4o, Claude, Gemini, and other models via SAP AI Core without changing code.
- Advanced Data Protection: Implement content filtering, data masking (SAP DPI), and document grounding (RAG) to ensure secure and relevant AI interactions.
- Agentic Workflows: Build sophisticated AI agents using LangChain (JS) or Spring AI (Java) for multi-step tasks and tool calling.
- Use Case: A developer needs to build an SAP BTP application that uses a large language model for customer support, ensuring sensitive data is masked and responses are filtered for safety. This skill provides the necessary SDKs and guidance to implement these features efficiently in both JavaScript/TypeScript and Java.
Quick Start
Explain how to integrate the SAP Cloud SDK for AI into a Java Spring Boot application to perform chat completion with the GPT-4o model, including a code example.
