genai-hub-foundation-models

Original：🇺🇸 English

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List and explore foundation models available in SAP AI Core GenAI Hub: browse supported providers, model names, versions, capabilities, and executable IDs needed to create deployments. WHEN: user wants to see what models are available, find an executable-id or model-name for deployment, browse providers (Azure OpenAI, Anthropic, Google, Mistral, Cohere, etc.), check model capabilities or context length, get the correct model-name to pass to create_llm_deployment, or get curl inference examples for a deployed model (chat completions, Responses API, embeddings, image generation, etc.). DO NOT USE FOR: creating or managing deployments — use `aicore-lifecycle-management`.

4installs

Sourcesap/ai-skills-library

Added on2026-09-30

NPX Install

npx skill4agent add sap/ai-skills-library genai-hub-foundation-models

SKILL.md Content

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Rules

Fetch the live model list when the model name is unknown or unconfirmed — skip if the user already named a specific model.
```
executable-id
```
and
```
model-name
```
values from this skill are the inputs needed by
```
aicore-lifecycle-management
```
to create a deployment.
If credentials are not configured, invoke
```
aicore-admin-resources
```
first.
Before executing any curl example, get a Bearer token with:
bash
```
export TOKEN=$(uv run skills/aicore-admin-resources/scripts/get_token.py)
```
Never add
```
2>&1
```
or pipe the command — that prints the raw JWT into the conversation.

List Available Models

bash

# Show all options and examples:
uv run scripts/list_foundation_models.py --help

# One provider only (e.g. Azure OpenAI):
uv run scripts/list_foundation_models.py --executable-id azure-openai

# Detailed view (versions, capabilities, context length, streaming support):
uv run scripts/list_foundation_models.py --response-format detailed

# Machine-readable JSON for scripting:
uv run scripts/list_foundation_models.py --json | jq '.[].model'
uv run scripts/list_foundation_models.py --response-format detailed --json | jq '.[] | select(.model == "gpt-4o") | .versions'

# Models supported by the Orchestration service only:
uv run scripts/list_foundation_models.py --scenario-id orchestration

Provider → Executable ID Mapping

Provider	`--executable-id`
Azure OpenAI	`azure-openai`
Anthropic	`aws-bedrock`
Google	`gcp-vertexai`
Amazon Bedrock	`aws-bedrock`
Mistral AI	`aicore-mistralai`
Cohere	`aicore-cohere`
Perplexity	`perplexity-ai`
NVIDIA	`aicore-nvidia`
Open Source	`aicore-opensource`
SAP	`aicore-sap`

Supported models in your instance may differ from this table — use the script to get the live list.

Create a Deployment

Once you have the

executable-id

and

model-name

, check whether a RUNNING deployment for that model already exists:

bash

uv run skills/aicore-lifecycle-management/scripts/get_deployments.py \
  --scenario foundation-models --status RUNNING --json

If one is found, use

AskUserQuestion

to ask whether to reuse it or create a new one. Then invoke

aicore-lifecycle-management

with both values.

The

modelName

value must exactly match the catalog output — a mismatch causes an "Invalid Configuration" error at deployment time, not at configuration creation.

When to Load Reference Files

Trigger	Load
Curl inference examples, provider-specific endpoint paths, or about to call a deployed model	`references/MODELS.md`

Finding the Deployment URL for a Curl Call

Get the
executable-id
— look it up in the Provider → Executable ID table above.

Find the running deployment:

bash

uv run skills/aicore-lifecycle-management/scripts/get_deployments.py \
  --scenario foundation-models --executable-id <executable-id> --status RUNNING --json
# use .deployment_url and .resource_group from the matching entry

See
```
references/MODELS.md
```
for export setup and curl examples per provider.

Handoffs

Credential/auth error? → invoke
```
aicore-admin-resources
```
Ready to create a deployment with the model you found? → invoke
```
aicore-lifecycle-management
```

genai-hub-foundation-models

NPX Install

Tags

SKILL.md Content

Rules

List Available Models

Provider → Executable ID Mapping

Create a Deployment

When to Load Reference Files

Finding the Deployment URL for a Curl Call

Handoffs