---
title: "Configure Command Center AI in Polarity Server v5"
slug: "configure-command-center-ai"
description: "Set up and configure Command Center AI for Polarity Server v5. Learn how to enable AI features, customize threat-intelligence settings, and integrate AI capabilities into your annotation platform."
updated: 2026-04-17T12:56:00Z
published: 2026-04-17T12:56:00Z
---

> ## Documentation Index
> Fetch the complete documentation index at: https://knowledge.threatconnect.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Configure Command Center AI

Polarity Command Center supports a wide range of LLMs included locally run and hosted models. By default Command Center is disabled. To enable and configure command center navigate to “Sever Configuration” → “AI Settings”. To enable Command Center you must provide your LLM connection settings and check the “Enable Polarity AI Features” box.

![](https://cdn.document360.io/dfc206c8-1c9f-4725-b74d-a66f83432320/Images/Documentation/image.png)

See below for detailed instructions on configuring popular LLM models.

## Google Gemini

#### LLM Provider

Select Gemini as the provider

#### LLM Model

Choose your Gemini Model from the dropdown list

#### API Key

Add your Gemini API Key

Save your settings and click on the “Test AI Configuration” button in the top right to ensure your settings work.

## OpenAI Models

For models hosted by OpenAI use the following configuration

#### LLM Provider

Select OpenAI as the provider

#### LLM Model

Select your OpenAI LLM model from the dropdown.

#### API Key

Add your OpenAI API Key

#### Base URL

Open “Advanced Options” and in the **Base URL** option and enter the following URL:

```plaintext
https://api.openai.com/v1/chat/completions
```

Save your settings and click on the “Test AI Configuration” button in the top right to ensure your settings work.

## Azure OpenAI Models

Command Center supports OpenAI models hosted in Azure.

#### LLM Provider

Select OpenAI as the provider

#### LLM Model

Select your OpenAI LLM model from the dropdown.

#### API Key

Add your Azure LLM API Key

#### Base URL

Open “Advanced Options” and in the **Base URL** option enter your Azure OpenAI URL including the deployment name and chat completions path. Deployment URLs have the following format:

```plaintext
https://{{tenantName}}-openai-instance.openai.azure.com/openai/deployments/{{deploymentName}}/chat/completions?api-version={{apiVersion}}
```

You will need to replace `{{tenantName}}`, `{{deploymentName}}`, and `{{apiVersion}}` with the appropriate values for your environment and model. As an example, a complete URL will look like this:

```plaintext
https://mycompany-openai-instance.openai.azure.com/openai/deployments/gpt-4-32k/chat/completions?api-version=2023-12-01-preview
```

Save your settings and click on the “Test AI Configuration” button in the top right to ensure your settings work.

## Open WebUI

Command Center can connect to API’s hosted via Open WebUI ([https://openwebui.com/](https://openwebui.com/)). Configure Open WebUI to use OpenAI Syntax API and then set the following in Command Center:

#### LLM Provider

Select OpenAI as the provider

#### LLM Model

Select your OpenAI LLM model from the dropdown. Note that if your model is not listed you can rename the model in OpenWeb UI to match one of the models in the dropdown list.

#### API Key

Add your Open WebUI API Key

#### Base URL

Open “Advanced Options” and in the **Base URL** option and enter the following URL:

```plaintext
https://{{open-web-ui-fqdn}}/api/v1/chat/completions
```

Note that the Open WebUI URL varies slightly from the OpenAI URL in that it starts with `api` in the URL path.

Save your settings and click on the “Test AI Configuration” button in the top right to ensure your settings work.