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2 changes: 2 additions & 0 deletions content/en/docs/refguide/mendix-ai-assistance/_index.md
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Expand Up @@ -29,6 +29,8 @@ For more information on how to ensure optimal performance of Maia, see the [Best

Mendix applies fair use limits to maintain a reliable experience for all users. If usage exceeds these limits, your Maia access may be temporarily paused. Account access is reviewed on a weekly schedule. Your account will be automatically reactivated within seven days once the review period concludes.

If you need uninterrupted access to Maia capabilities, you can [configure a custom AI provider](/refguide/maia-make/#custom-provider) to use your own LLM provider.

## Network Configuration Requirements {#maia-network-requirement}

To ensure the smooth operation of Mendix AI Assistance (Maia), the following network requirements must be met:
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47 changes: 47 additions & 0 deletions content/en/docs/refguide/mendix-ai-assistance/maia-make/_index.md
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Expand Up @@ -97,6 +97,53 @@ The conversational interface includes the following options:
* **{{% icon name="paperclip" %}} Add** (Image, Story, PDF) - With this option, you can attach images, PDFs, or user stories to help Maia understand your requirements better.
* **Add file to Maia Chat** (@ icon) - It allows you to add certain logic or pages to Maia as context. You can also access this option by right-clicking the documents (microflows or pages) in the **App Explorer** and it appears in the context menu.

## Configuring a Custom AI Provider {#custom-provider}

By default, Maia uses the Mendix platform's AI service. You can configure Maia to use your own LLM provider instead (also known as bring your own LLM or BYO LLM).

{{% alert color="info" %}}
Configuring a custom AI provider is available in Studio Pro 11.12 and above as a beta feature.
{{% /alert %}}

To enable custom LLM provider configuration, follow these steps:

1. Open the Studio Pro settings.
2. In the **Preferences** dialog box that opens, go to the **New Features** tab.
3. Select the **Enable configuring a custom AI provider for Maia** checkbox, then click **OK**.

After enabling this feature, a **Settings** ({{% icon name="cog" %}}) icon appears in the upper-right corner of the Maia pane.

### Provider Configuration {#provider-configuration}

Custom AI provider settings are per-project and local to your workstation. Each app can have its own configuration, and settings are not committed to version control.

#### Mendix Platform {#mendix-platform}

The Mendix platform AI service is the default, recommended option and requires no configuration. Some Mendix platform optimizations may not be available if you use a custom LLM provider instead.

#### Amazon Bedrock {#amazon-bedrock}

To configure Amazon Bedrock as your LLM provider, follow these steps:

1. Click **Settings** ({{% icon name="cog" %}}) in the Maia pane.
2. Select **Amazon Bedrock** from the **LLM Provider** list.
3. Select an **Authentication Mode**:
* **API Key** – Create an API key in AWS, then enter the **Base URL** and your **API Key**. Studio Pro stores the API key securely across sessions.
* **AWS Signature Version 4** – Select the **Region** and enter your AWS **Access Key ID** and **Secret Access Key**. If available, credentials are taken from your AWS CLI configuration (environment variables). If you enter credentials manually, they are not saved and must be re-entered each session.
4. Enter the **Model ID**. You can find available model IDs in your AWS Bedrock console. Mendix recommends Claude Sonnet 4.6 for optimal Maia performance.
5. Click **Save Config**.

#### OpenAI Compatible {#openai-compatible}

To configure an OpenAI-compatible provider, follow these steps:

1. Click **Settings** ({{% icon name="cog" %}}) in the Maia pane.
2. Select **OpenAI Compatible** from the **LLM Provider** list.
3. Enter the **Base URL** for your API endpoint.
4. Enter the **Model ID**.
5. Enter your **API Key**. Studio Pro stores this key securely across sessions.
6. Click **Save Config**.

## Read More

* [Mendix AI Assistance (Maia)](/refguide/mendix-ai-assistance/)
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Expand Up @@ -15,7 +15,7 @@ This feature was released in Studio Pro 11.10.
To use Studio Pro MCP Server, an internet connection and signing in to Studio Pro are required.
{{% /alert %}}

Studio Pro MCP Server enables you to leverage Maia's capabilities directly from external clients, including AI coding assistants, agents, and other MCP-based LLM tools.
Studio Pro MCP Server enables bring your own agent (BYO Agent) capabilities, allowing you to leverage Maia's capabilities directly from external clients, including AI coding assistants, agents, and other MCP-based LLM tools.

It has the following key highlights:

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