Can I use this with models other than OpenAI?

Yes, through SAP AI Core, you can access and orchestrate a wide range of foundation models including Anthropic Claude, Google Gemini, Amazon Nova, and Mistral.

How does this skill handle SAP BTP authentication?

It provides guidance and code patterns for automatic service binding detection via VCAP_SERVICES in cloud environments and manual service key configuration for local development.

Which programming languages does this skill support?

The skill provides comprehensive support for both JavaScript/TypeScript (Node.js 20+) and Java (Java 17+), covering the full suite of SAP Cloud SDK for AI packages.

Does it support RAG (Retrieval-Augmented Generation)?

Yes, it includes specific patterns for SAP Document Grounding, allowing you to connect LLMs to vector repositories and retrieval pipelines for grounded AI responses.

SAP Cloud SDK for AI

Name: SAP Cloud SDK for AI
Author: secondsky

bysecondsky

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Data Science & ML

Integrates SAP AI Core and Generative AI Hub capabilities into JavaScript and Java applications with enterprise-grade orchestration and security features.

About

This skill streamlines the development of AI-powered applications on the SAP Business Technology Platform (BTP) by providing deep integration with the SAP Cloud SDK for AI. It enables developers to implement sophisticated LLM workflows—including chat completions, document grounding, and content filtering—using foundation models like GPT-4o, Claude, and Gemini. By automating boilerplate for connection setup, prompt management via the Prompt Registry, and agentic patterns through LangChain or Spring AI, it ensures production-ready implementations that comply with SAP's stringent data privacy and security standards.

Key Features

End-to-end integration for SAP AI Core and Generative AI Hub services
Seamless integration with LangChain and Spring AI for agentic workflows
Native JavaScript/TypeScript and Java SDK implementation patterns
11 GitHub stars
Support for advanced orchestration features like data masking and content filtering
Automated setup for SAP BTP service bindings and environment configurations

Use Cases

Developing multi-agent systems using SAP AI Core infrastructure and Orchestration services
Building enterprise RAG (Retrieval-Augmented Generation) applications using SAP Document Grounding
Implementing secure AI chat interfaces with built-in PII masking and safety filters

About

Key Features

End-to-end integration for SAP AI Core and Generative AI Hub services
Seamless integration with LangChain and Spring AI for agentic workflows
Native JavaScript/TypeScript and Java SDK implementation patterns
11 GitHub stars
Support for advanced orchestration features like data masking and content filtering
Automated setup for SAP BTP service bindings and environment configurations

Use Cases

Developing multi-agent systems using SAP AI Core infrastructure and Orchestration services
Building enterprise RAG (Retrieval-Augmented Generation) applications using SAP Document Grounding
Implementing secure AI chat interfaces with built-in PII masking and safety filters