Individual skill

aicore-sdk-js

Generate working TypeScript/JavaScript boilerplate for SAP GenAI Hub using @sap-ai-sdk/orchestration, @sap-ai-sdk/foundation-models, @sap-ai-sdk/openai (native OpenAI SDK), @sap-ai-sdk/langchain (LangChain), @sap-ai-sdk/document-grounding (RAG), @sap-ai-sdk/prompt-registry, @sap-ai-sdk/llm-batch (batch jobs), @sap-ai-sdk/rpt (tabular prediction), or @sap-ai-sdk/context-registry (data destinations, tabular artifacts, scenario configurations). WHEN: user asks for TypeScript, JavaScript, Node.js, or JS/TS code that calls a GenAI Hub model, wants a TypeScript starter project, asks how to use @sap-ai-sdk in their app, asks how to use LangChain (JS/TS) with SAP AI Core, or wants JS/TS for RAG/document-grounding, prompt templates, batch LLM jobs, tabular (RPT) prediction, or managing data destinations / tabular artifacts / scenario configurations via the Context Registry. DO NOT USE FOR: Java code — use `aicore-sdk-java`.

skills/aicore-sdk-js/SKILL.md

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Observed behavior: Not checked yet
Last checked: Nov 4, 2026

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Repository context

Repository stars (not skill ratings): 143
Repository last updated: Nov 5, 2026
License: Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

ai Repository topic
joule Repository topic
skills Repository topic
data Derived category

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Browse files

README.mddoc · 997 bytes
SKILL.mdcore · 9,473 bytes
SKILL.mdcore · 9,473 bytes
SKILL.mdcore · 9,473 bytes
SKILL.mdcore · 9,473 bytes
SKILL.mdcore · 9,473 bytes
SKILL.mdcore · 9,473 bytes
SKILL.mdcore · 9,473 bytes
assets/chat_openai_proxy.tsruns · 1,080 bytes
assets/chat_sap_sdk.tsruns · 1,528 bytes
assets/context_registry.tsruns · 6,646 bytes
assets/document_grounding.tsruns · 2,455 bytes
assets/langchain_openai.tsruns · 1,191 bytes
assets/langchain_orchestration.tsruns · 1,310 bytes
assets/llm_batch.tsruns · 2,802 bytes
assets/openai_native.tsruns · 3,139 bytes
assets/prompt_registry.tsruns · 1,418 bytes
assets/realtime.tsruns · 1,594 bytes
assets/rpt.tsruns · 1,634 bytes
assets/streaming.tsruns · 1,310 bytes
assets/tabular_orchestration.tsruns · 2,579 bytes
evals/evals.jsonasset · 21,657 bytes
evals/trigger_evals.jsonasset · 3,022 bytes
references/SDK_JS.mddoc · 22,433 bytes

Read excerpt


## Rules

1. If no deployment URL is known, check the SAP AI Core console or contact your admin to list or create one before generating code.
2. Always include `aicore configure` credential guidance in generated code comments; link to [Connecting to AI Core](https://sap.github.io/ai-sdk/docs/js/connecting-to-ai-core) for setup details.
3. JS/TS lifecycle management (create/list/delete deployments) is not available in this skill — use the SAP AI Core console or contact your admin for deployment management.
4. Target `@sap-ai-sdk` **v2** (orchestration `2.14+`). The preferred invocation pattern is passing `messages` directly to `chatCompletion()` / `stream()`. Only use `promptTemplating.prompt.template` with `{{?placeholder}}` values when the user explicitly wants a server-side reusable template. Never emit the v1 shape `llm: { model_name }` / `templating: { template }` — it does not compile against v2.
5. Never emit Python code snippets — this skill is JS/TS only. If the user asks for Python, inform them that no Python skill is available in this repo and point them to https://sap.github.io/ai-sdk/ for Python SDK guidance.
6. Gather these details before generating code — ask only for what the user hasn't provided:
   - **Framework**: `@sap-ai-sdk/*` (recommended) / `@sap-ai-sdk/langchain` (LangChain) / OpenAI npm package via LiteLLM proxy?
   - **Use case**: chat / streaming / embeddings?
   - **Runtime**: Node.js / Bun / browser?
   - **Model + Deployment ID**: check the SAP AI Core console for existing deployments
   - **Model-switching intent** (ask only when the user specifies an OpenAI model like gpt-4o, gpt-4.1, etc.): do they plan to switch models later (e.g. to Claude or Gemini)? If yes → recommend `@sap-ai-sdk/orchestration` for portability. If they want to stay on OpenAI → use `@sap-ai-sdk/openai` (`SapOpenAi.createClient`) as the simpler native OpenAI SDK alternative; no LiteLLM proxy needed.