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Melik1986
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sap-ai-core

Guides deployment and orchestration of generative AI models on SAP AI Core and AI Launchpad.

Updated May 18, 2026
Search Tags:#rag#orchestration#llm deployment#prompt registry#sap btp#sap ai core#generative ai hub
One-click install
npx skills add https://github.com/Melik1986/axon-erp-api --skill sap-ai-core-melik1986
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sap-ai-core
Source: https://github.com/Melik1986/axon-erp-api/tree/main/cursor/skills/sap-ai-core
Command: npx skills add https://github.com/Melik1986/axon-erp-api --skill sap-ai-core-melik1986

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Developers working with SAP AI Core and SAP AI Launchpad on SAP BTP face a large, fragmented API surface covering model deployments, orchestration pipelines, grounding, and ML training, and this Skill consolidates that guidance into one operational reference. ## Core Features & Use Cases - Model Deployment & Harmonized API: Create configurations and deployments for foundation models from Azure OpenAI, AWS Bedrock, Google Vertex AI, Mistral, IBM, and Perplexity via the /v2/lm endpoints. - Orchestration Pipelines: Build 8-stage orchestration workflows with templating, content filtering, data masking for PII, and grounding (RAG) against SharePoint, S3, and SFTP sources. - ML Operations & Prompt Registry: Manage Argo Workflow training pipelines, executions, schedules, and prompt templates through imperative REST or declarative Git sync. - Use Case: A CAP application developer needs a secure enterprise chat endpoint; the Skill walks through creating an orchestration deployment with filtering, masking, and grounding, then calling it from a CAP event handler. ## Quick Start Ask the assistant to create an SAP AI Core orchestration deployment with templating and content filtering for a gpt-4o chat workflow.

Frequently Asked Questions about sap-ai-core

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I deploy a generative AI model on SAP AI Core?▼

Create a configuration with the executableId and modelName parameter bindings, then create a deployment referencing that configuration ID. Poll the deployment until status is RUNNING and use the returned deploymentUrl for inference calls.

How to build an orchestration workflow in SAP AI Core?▼

Define module_configurations with the mandatory templating and llm modules, then optionally add grounding, data masking, and input/output filtering. Send requests to the orchestration deployment's /v2/completion endpoint with input_params matching template placeholders.

Which service plan do I need for the Generative AI Hub?▼

The Extended service plan is required for Generative AI Hub access and token-based model consumption. The Free plan offers community support only without GenAI, and Standard provides full SLA but no GenAI Hub.

Does SAP AI Core support RAG with my own documents?▼

Yes, grounding pipelines ingest documents from SharePoint, S3, SFTP, SAP Build Work Zone, or Document Management Service into a managed vector store. Pipelines support up to 2,000 documents with daily refresh, and retrieved chunks are injected into prompts via the grounding module.

Why does my SAP AI Core request return 401 or 403 errors?▼

A 401 means the OAuth token is expired or invalid, so refresh it via the client credentials grant. A 403 indicates missing IAM roles or exhausted quota; verify role assignments and request a quota increase via support ticket component CA-ML-AIC.

Can I manage prompt templates with Git in SAP AI Core?▼

Yes, the Prompt Registry supports a declarative API where files named <name>.prompttemplate.ai.sap.yaml sync automatically from a Git repository. Declarative templates are marked managedBy declarative and cannot be edited through the imperative REST API.

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