SAP BTP AI Best Practice Demo - Data Masking - CAP
A CAP backend-sample and fullstack-sample that generate an email through SAP AI CoreSAP AI CoreSAP's AI service on BTP: the runtime for AI assets, and through the Generative AI Hub inside it the access to foundation models, the orchestration service with its templating, masking, filtering and grounding modules, the Prompt Registry and Document Grounding.sap official, btp with an anonymize flag on the request; the README's example prompt carries an email address.
generateEmail takes a free-text prompt and a boolean anonymize parameter and calls the model through the SAP Cloud SDK for AI; the fullstack-sample wraps the same action in a UI5 app under app/ask-email, and its README shows the request and the response as two screenshots. Both bind to a SAP AI CoreSAP AI CoreSAP's AI service on BTP: the runtime for AI assets, and through the Generative AI Hub inside it the access to foundation models, the orchestration service with its templating, masking, filtering and grounding modules, the Prompt Registry and Document Grounding.sap official, btp service instance with cds bind before the action can run.
Facts
Where it sits
Who is behind it
In the atlas: maintains 222@SAP-samplesmaintainerLuís MarquesContributes to this
In the atlas: contributes to 8@luismarques-io1 contributor
Before choosing this
Conditions
PracticalFunctional boundary
Every CDS service in both samples is marked @requires: 'any' and left publicly accessible, which the README says simplifies the testing and deployment process, and it asks for proper authentication mechanisms to be applied in their place.
What it declares
Every artifact
- Type
- Sample
- Origin
- By SAP
- Use as
- A reference
- Runtime
- Node.js
As a sample
- Form
- A reference application
Connections
Replacing personal values in a prompt with placeholders
AI runtime on BTP with the Generative AI Hub
AI runtime on BTP with the Generative AI Hub
Download
README
quoted from SAP-samples/sap-btp-ai-best-practices under Apache-2.0, readCAP Implementations for Data Masking
This directory contains Cloud Application Programming (CAP) model implementations that demonstrate best practices for data masking with AI models through SAP BTP services.
Available Samples
- backend-sample: Standalone CAP backend service implementation
- fullstack-sample: Complete CAP application with UI5 frontend
Overview
These samples showcase how to:
- Connect to generative AI services from CAP applications
- Structure service layers for AI orchestration
- Implement proper error handling
- Deploy applications to SAP BTP
Getting Started
Each subdirectory contains a comprehensive README.md with detailed setup instructions, deployment guides, and usage examples.
Details
Sources
Sources are graph entities: the same page may back several entries, and an unreachable source flags every row that rests on it.
Compatibility and provenance
Flavors
Contributors
History in the atlas
- First seen.
For your agent
- Ref
artifact:sap-samples-btp-ai-bp-data-masking-cap- JSON
- /artifacts/sap-samples-btp-ai-bp-data-masking-cap.json
- MCP
- Connecting an agent