AI Core Admin Resources
Skills for SAP AI Core.
Manage the full SAP AI Core deployment lifecycle: scenarios, executables, configurations, and deployments. Lists and inspects scenarios and executables, creates configurations, creates, lists, stops, deletes, or patches deployments, fetches deployment logs, and removes duplicate LLM deployments. Use when managing AI Core deployments and their configurations.
List and explore foundation models available in the SAP AI Core Generative AI Hub: browse providers, model names, versions, capabilities, and executable IDs, and get curl inference examples for deployed models. Use when discovering available models, finding an executable-id or model-name for deployment, or generating inference examples such as chat completions, embeddings, or image generation.
Manage the SAP AI Core Context Registry (TCR) — data destinations (HDL connections), tabular artifacts, and scenario configurations — and interactively build and send tabular prediction requests to the SAP AI Core Tabular Prediction service (sap-rpt-1-small / sap-rpt-1-large). Use when working with the context registry, TCR, HDL connections, tabular artifacts, scenario configurations, or sap-rpt tabular predictions in SAP AI Core.
Generate and deploy a pro-code AI agent using LangGraph and SAP GenAI Hub, deploy it to SAP BTP Cloud Foundry, create a Joule capability with A2A (Agent-to-Agent) action, and deploy it to Joule. Supports TypeScript (Express or CAP) and Python. Use this skill whenever the user mentions: building a custom agent for Joule, deploying an AI agent to BTP Cloud Foundry, A2A protocol integration with Joule, pro-code agent extensibility, LangGraph agent on SAP BTP, connecting an external agent to Joule, "bring your own agent" for Joule, creating a Joule capability with A2A action, CAP agent, MTA deployment, or any combination of LangGraph/A2A/Joule/BTP/Cloud Foundry/CAP in an agent development context. Also trigger when the user wants to scaffold, modify, or redeploy an existing A2A agent project.