# Complete the Agent Configuration Setup

Once the flows are enabled, open the **InoWiz Agent** again. This time, you will be prompted to complete the **Configuration Setup.** The setup consists of three groups:

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**a) Azure AI Search Configuration**<br>

* Service Name → The name of the Azure AI Search service created in Step 1.
* API Key → Found in the Azure AI Search service under Settings → Keys. Copy either the Primary Admin Key or Secondary Admin Key.

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* Index Name → Enter the index name you created via the Postman collection.
* Indexer Name → Enter the indexer name you created via the Postman collection.

**b) Authentication Configuration**

* **Tenant ID** → Found in the Azure portal in the Microsoft Entra ID section.

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* **Client ID →** From the App Registration details, search for your app name which you created in step 2

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* **Client Secret →** The secret generated in the App Registration, which you can find in the Client and Secret section.

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**c) SharePoint Configuration**

* SharePoint Domain → Example: yourdomain.sharepoint.com

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* **SharePoint Site Name** → The site name where all the documents you have stored.

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* **Libraries →** Provide a comma-separated list of document libraries you want to configure.\
  These can be found by navigating to your SharePoint site, and copying the names of the libraries.

Once all required input values (Azure AI Search, Authentication, and SharePoint details) are provided, click Save Configuration.

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This will create an Azure AI Search connection in the backend and finalize the setup.

{% hint style="success" %}
For further queries, reach out to us at <crm@inogic.com>
{% endhint %}


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.inogic.com/sharepoint-knowledge-ai-search/configuration/complete-the-agent-configuration-setup.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.