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Merge pull request #366 from kagent-dev/adb-sap
docs for SAP provider
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src/app/docs/kagent/supported-providers/page.mdx

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@@ -26,6 +26,7 @@ import QuickLink from '@/components/quick-link';
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<QuickLink title="Ollama" description="Learn how to configure Ollama models for kagent." href="/docs/kagent/supported-providers/ollama" />
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<QuickLink title="Gemini" description="Learn how to configure Gemini models for kagent." href="/docs/kagent/supported-providers/gemini" />
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<QuickLink title="Google Vertex AI" description="Learn how to configure Google Vertex AI models for kagent." href="/docs/kagent/supported-providers/google-vertexai" />
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<QuickLink title="SAP AI Core" description="Learn how to configure SAP AI Core models for kagent." href="/docs/kagent/supported-providers/sap-ai-core" />
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<QuickLink title="xAI (Grok)" description="Learn how to configure xAI Grok models for kagent." href="/docs/kagent/supported-providers/xai" />
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<QuickLink title="BYO OpenAI-compatible model" description="Learn how to configure BYO OpenAI-compatible models for kagent." href="/docs/kagent/supported-providers/byo-openai" />
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</div>
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---
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title: "SAP AI Core"
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description: "Learn how to configure SAP AI Core models for kagent."
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---
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export const metadata = {
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title: "Configuring SAP AI Core models in kagent",
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description: "Learn how to configure SAP AI Core models for kagent.",
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author: "kagent.dev"
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};
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## Configuring SAP AI Core
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kagent connects to SAP AI Core through its [Orchestration Service](https://help.sap.com/docs/sap-ai-core/sap-ai-core-service-guide/orchestration), which provides a unified endpoint for models from multiple families, including Anthropic, OpenAI, Gemini, Amazon, Meta, and Mistral. Authentication uses OAuth2 client credentials from your SAP AI Core service key.
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1. Create a Kubernetes Secret that stores the OAuth2 client credentials. The Secret must contain two keys, `client_id` and `client_secret`. Replace the placeholder values with the credentials from your SAP AI Core service key.
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```shell
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export SAP_AI_CORE_CLIENT_ID=<your_client_id>
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export SAP_AI_CORE_CLIENT_SECRET=<your_client_secret>
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kubectl create secret generic kagent-sapaicore -n kagent \
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--from-literal client_id=$SAP_AI_CORE_CLIENT_ID \
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--from-literal client_secret=$SAP_AI_CORE_CLIENT_SECRET
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```
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Unlike other providers, the `apiKeySecretKey` field on the `ModelConfig` is not used for SAP AI Core. The keys `client_id` and `client_secret` are read directly from the Secret.
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2. Create a `ModelConfig` resource that references the Secret and specifies the SAP AI Core endpoint, resource group, and OAuth2 token endpoint. You can find these values in your SAP AI Core service key.
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```yaml
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kubectl apply -f - <<EOF
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apiVersion: kagent.dev/v1alpha2
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kind: ModelConfig
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metadata:
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name: sapaicore-model-config
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namespace: kagent
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spec:
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apiKeySecret: kagent-sapaicore
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model: anthropic--claude-4.5-sonnet
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provider: SAPAICore
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sapAICore:
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baseUrl: "https://api.ai.prod.eu-central-1.aws.ml.hana.ondemand.com"
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authUrl: "https://<your-tenant>.authentication.eu10.hana.ondemand.com"
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resourceGroup: "default"
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EOF
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```
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| Field | Required | Description |
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| --- | --- | --- |
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| `apiKeySecret` | Yes | Name of the secret that contains the OAuth2 client credentials. |
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| `model` | Yes | Model names follow the Orchestration Service naming convention, such as `anthropic--claude-4.6-sonnet`, `gpt-5-mini`, or `gemini-3-pro-preview`. For the full list of supported models, see the [SAP AI Core Orchestration Service documentation](https://help.sap.com/docs/sap-ai-core/sap-ai-core-service-guide/models-and-scenarios-in-generative-ai-hub). |
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| `provider` | Yes | Provider name. Must be `SAPAICore`. |
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| `sapAICore.baseUrl` | Yes | Base URL for the SAP AI Core API. |
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| `sapAICore.authUrl` | No | OAuth2 token endpoint URL. |
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| `sapAICore.resourceGroup` | No | Resource group in SAP AI Core. Defaults to `default`. |
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After the resource is applied, you can select the model from the **Model** dropdown in the UI when creating or updating agents.

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