Prompt Registry Management in SAP Generative AI Hub
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Tutorials that teach this
- Tutorial Leveraging Prompt Registry for Seamless Orchestration
- Tutorial Prompt Optimization with Tool Calling and Response Formatting
- Tutorial Prompt optimization
- Tutorial Generative AI Custom Evaluation - Quickstart
- Tutorial Prompt Optimization with Tool Calling
- Tutorial Optimize Prompts for Tool Calling Using a Custom LLM-as-a-Judge Metric in SAP AI Core
Prerequisites
- Concept SAP AI Core Object Store Secret Configuration The concept name provided is undefined and no valid concept was supplied for definition. Additionally, the provided source snippets contain only tutorial titles without any substantive content to ground a definition. Please provide a valid SAP developer concept name and relevant source content so an accurate definition can be written.
- Concept SAP Generative AI Hub The concept name was not provided, so a best-effort definition is derived from the available sources covering SAP's AI development landscape. [SAP's AI Golden Path](https://architecture.learning.sap.com/docs/golden-path/ai-golden-path/readme) is a curated starting point for developing AI applications across the SAP ecosystem, offering recommendations and guidance for building and delivering AI-powered solutions. Developers use it to navigate capabilities such as [Generative AI application integration, embeddings and semantic search](https://architecture.learning.sap.com/docs/ref-arch/RA0005/2-semantic-search/readme), predictive and tabular AI, and document processing. It encompasses patterns for leveraging Foundation Models and Large Language Models (LLMs) through prompting, as well as frameworks like Intelligent Scenario Lifecycle Management (ISLM) for standardized AI lifecycle management.
- Concept SAP AI Core Orchestration Service The concept name was not provided (marked as "undefined"), and the supplied source snippets contain only tutorial titles without any descriptive body text or factual claims that could be used to construct an accurate, grounded definition. There is insufficient source material to write a valid 2–4 sentence prose definition for an unknown concept.
- Concept Generative AI Hub setup and onboarding The concept name provided is "undefined," and the supplied sources do not contain enough grounded information to produce a reliable, accurate definition for a specific SAP developer concept. Please provide a valid concept name and relevant source snippets so a precise definition can be written.
- Concept SAP AI Core Service Setup The concept name was not provided, so a precise definition cannot be constructed from the available sources. Based on the sources, these materials collectively cover building and integrating [Generative AI applications](https://architecture.learning.sap.com/docs/golden-path/ai-golden-path/2-build-and-deliver/3-genai-applications/readme) on SAP Business Technology Platform using SAP AI Core — a managed service that developers use to train models, run AI workloads, and connect to large language models via orchestration. Developers leverage it alongside [SAP BTP service instances and keys](https://help.sap.com/docs/btp/sap-business-technology-platform/5b35ee98403045309bb0f8c7f0c79365?locale=en-US&state=PRODUCTION&version=Cloud) to authenticate and consume AI capabilities such as prompt optimization, grounding, multimodal responses, and custom evaluation within their applications.
- Concept SAP AI Launchpad Usage The concept name is missing or undefined, and the provided sources do not contain enough specific, attributable information to write a grounded definition for an unnamed concept. Please provide a valid concept name so a precise, source-backed definition can be written.