SAP Generative AI Hub — Hands-on: Orchestration, Grounding, Masking, Filtering

What you will learn

• Provision the generative AI hub correctly: SAP AI Core extended plan, SAP AI Launchpad standard plan, service key, workspace connection and the four genai/prompt role collections — and explain why the extended plan cannot be downgraded
• Locate or create an orchestration deployment (scenario and executable 'orchestration') in a named resource group and call POST /v2/completion from the SAP Cloud SDK for AI in TypeScript and Python
• Configure the five orchestration v2 modules — prompt_templating, grounding, masking, filtering, translation — and read intermediate_results to prove what the model actually received
• Ground answers on help.sap.com, on a Vector API collection and on a managed pipeline (SharePoint, S3, SFTP, Work Zone, Document Management, ServiceNow, Google Drive), respecting the document-grounding label and pipeline limits
• Version prompts and orchestration configs in the prompt registry (imperative for design time, declarative Git sync for runtime) and explain the token → GenAI token → capacity unit billing chain without inventing prices

This is a lab module, not a brochure. By the end you will have provisioned the generative AI hub in SAP AI Core, located (or created) an orchestration deployment, called it from the SAP Cloud SDK for AI in TypeScript and Python, and switched on the four modules that make an LLM call defensible in an enterprise: templating, grounding, data masking and content filtering — plus the prompt registry that turns prompts into versioned, reviewable assets. Every step below is checkable: each exercise ends with an observable result you can show to a reviewer.

Naming, read 5 November 2026

The generative AI hub is a capability of SAP AI Core, which SAP presents as part of "AI Foundation" inside the SAP Business AI Platform announced at Sapphire 2026 (BTP + Business Data Cloud + AI Foundation). The product you provision in the BTP cockpit is still called SAP AI Core; the cockpit UI is SAP AI Launchpad. There is no separate "SAP AI Hub" product to buy — when a client says "AI Hub", map it to the generative AI hub in SAP AI Core.

Prerequisites

• Access to an SAP BTP global account where you can assign the SAP AI Core extended plan (or the 30-day generative AI hub trial)
• Basic Node.js/TypeScript or Python, and comfort with curl and JSON
• Review core concepts first: C119, C026, C027

Outcomes

• Stand up a working generative AI hub tenant and prove it with a RUNNING orchestration deployment and a first templated completion.
• Build a grounded, masked, filtered orchestration call and explain each intermediate result to a security reviewer.
• Move a prompt from Launchpad experimentation to a Git-managed, versioned template referenced by scenario, name and version.
• Estimate and monitor consumption with SAP Note 3437766, the AI Core cost calculator and the BTP Usage export — without quoting invented prices.