changed other occurrences of "Azure OpenAI" to "Microsoft Foundry"

liamsommer-mx · liamsommer-mx · commit 92a7813b3ecb · 2026-01-21T14:58:50.000+01:00
diff --git a/content/en/docs/marketplace/genai/_index.md b/content/en/docs/marketplace/genai/_index.md
@@ -16,7 +16,7 @@ These pages cover modules that integrate with generative AI tools. For running p
 
 ### Typical Use Cases
 
-Mendix supports a variety of generative AI tasks by integrating with tools such as Amazon Bedrock or Azure OpenAI. Typical use cases include the following:
+Mendix supports a variety of generative AI tasks by integrating with tools such as Amazon Bedrock or Microsoft Foundry. Typical use cases include the following:
 
 * Create conversational UIs for AI-powered chatbots and integrate those UIs into your Mendix applications.
 * Connect any model through our GenAI connectors, or by integrating your connector into our GenAI commons interface.
@@ -58,7 +58,7 @@ Supercharge your applications with Mendix's Agents Kit. This powerful set of com
 | [MCP Server](/appstore/modules/genai/mcp-modules/mcp-server/) | Make your Mendix business logic available to any agent in your enterprise landscape with the Mendix MCP Server module. Expose reusable prompts, including the ability to use prompt parameters. List and run actions implemented in the application as a tool. | Module | 10.24 |
 | [Mendix Cloud GenAI Connector](/appstore/modules/genai/mx-cloud-genai/MxGenAI-connector/) | Connect to Mendix Cloud and utilize Mendix Cloud GenAI resource packs directly within your Mendix application. | Connector Module | 10.24 |
 | [Mistral Connector](/appstore/modules/genai/reference-guide/external-connectors/mistral/) | Connect to Mistral AI. | Connector Module | 10.24 |
-| [OpenAI Connector](/appstore/modules/genai/openai/) | Connect to (Azure) OpenAI. | Connector Module | 10.24 |
+| [OpenAI Connector](/appstore/modules/genai/openai/) | Connect to OpenAI and Microsoft Foundry. | Connector Module | 10.24 |
 | [PgVector Knowledge Base](/appstore/modules/genai/pgvector/) | Manage and interact with a PostgreSQL *pgvector* Knowledge Base. | Connector Module | 10.24 |
 | [RFP Assistant Starter App / Questionnaire Assistant Starter App](https://marketplace.mendix.com/link/component/235917) | The RFP Assistant Starter App and the Questionnaire Assistant Starter App leverage historical question-answer pairs (RFPs) and a continuously updated knowledge base to generate and assist in editing responses to RFPs. This offers a time-saving alternative to manually finding similar responses and enhancing the knowledge management process.  | Starter App | 10.24 |
 | [Snowflake Showcase App](https://marketplace.mendix.com/link/component/225845) | Learn how to implement the Cortex functionalities in your app. | Showcase App | 10.24 |
@@ -73,7 +73,7 @@ Mendix connectors offer direct support for the following models:
 | -------------- | --------------------- | --------------------- | ------------------- | ----------- | ----------------------- |
 | Mendix Cloud GenAI | Anthropic Claude 3.5 Sonnet, Anthropic Claude 3.7 Sonnet, Anthropic Claude 4.0 Sonnet, Anthropic Claude 4.5 Sonnet | Chat Completions | text, image, document | text | Function calling |
 | | Cohere Embed v3 English and multilangual, Cohere Embed v4 | Embeddings | text | embeddings | |
-| Azure / OpenAI | gpt-4, gpt-4-turbo, gpt-4o, gpt-4o mini, gpt-4.1, gpt-4.1-mini, gpt-4.1-nano, gpt-5.0, gpt-5.0-mini, gpt-5.0-nano, gpt-5.1, gpt-5.2, o1, o1-mini, o3, o3-mini, o4-mini | Chat completions | text, image, document (OpenAI only) | text | Function calling |
+| Microsoft Foundry (OpenAI) / OpenAI | gpt-4, gpt-4-turbo, gpt-4o, gpt-4o mini, gpt-4.1, gpt-4.1-mini, gpt-4.1-nano, gpt-5.0, gpt-5.0-mini, gpt-5.0-nano, gpt-5.1, gpt-5.2, o1, o1-mini, o3, o3-mini, o4-mini | Chat completions | text, image, document (OpenAI only) | text | Function calling |
 | | DALL·E 2, DALL·E 3, gpt-image-1 | Image generation | text | image | |
 | | text-embedding-ada-002, text-embedding-3-small, text-embedding-3-large | Embeddings | text | embeddings | |
 | Mistral | Mistral Large 3, Mistral Medium 3.1, Mistral Small 3.2, Ministral 3 (3B, 8B, 14B), Magistral (Small, Medium) | Chat Completions | text, image | text | Function calling |
diff --git a/content/en/docs/marketplace/genai/concepts/function-calling.md b/content/en/docs/marketplace/genai/concepts/function-calling.md
@@ -58,7 +58,7 @@ We also strongly advise that you build user confirmation logic into function mic
 
 OpenAI's latest GPT-3.5 Turbo, GPT-4 Turbo and GPT-4o models are trained with function calling data. Older model versions may not support parallel function calling. For more details view [OpenAI Documentation](https://platform.openai.com/docs/guides/function-calling/supported-models).
 
-For models used through Azure OpenAI, feature availability is currently different depending on method of input and deployment type. For details view [Azure OpenAI Documentation](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models#differences-between-openai-and-azure-openai-gpt-4-turbo-ga-models).
+For models used through Microsoft Foundry, feature availability is currently different depending on method of input and deployment type. For details view [Microsoft Foundry Documentation](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models#differences-between-openai-and-azure-openai-gpt-4-turbo-ga-models).
 
 ### Supported Amazon Bedrock models {#supported-models-bedrock}
 
diff --git a/content/en/docs/marketplace/genai/concepts/prompt-engineering.md b/content/en/docs/marketplace/genai/concepts/prompt-engineering.md
@@ -256,5 +256,5 @@ Check out the [GenAI](https://marketplace.mendix.com/link/component/220475) show
 
 * [OpenAI](https://platform.openai.com/docs/guides/prompt-engineering)
     * [Examples](https://platform.openai.com/docs/examples)
-* [Azure OpenAI](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/prompt-engineering)
+* [Microsoft Foundry](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/prompt-engineering)
 * [Prompt Engineering Guide](https://www.promptingguide.ai/)
diff --git a/content/en/docs/marketplace/genai/how-to/_index.md b/content/en/docs/marketplace/genai/how-to/_index.md
@@ -52,7 +52,7 @@ For any additional feedback, send a message in the [#genai-connectors](https://m
 * [AI Model Training: What it is and How it Works](https://www.mendix.com/blog/ai-model-training/)
 * [What Are the Different Types of AI Models?](https://www.mendix.com/blog/what-are-the-different-types-of-ai-models/)
 * [OpenAI Using the ‘GenAI for Mendix’ Module](https://www.mendix.com/blog/openai-using-the-genai-for-mendix-module/)
-* [How to Configure Azure OpenAI Models in Mendix](https://www.mendix.com/blog/how-to-configure-azure-openai-models-in-mendix/)
+* [How to Configure Microsoft Foundry OpenAI Models in Mendix](https://www.mendix.com/blog/how-to-configure-azure-openai-models-in-mendix/)
 
 #### Building your own Connector
 
diff --git a/content/en/docs/marketplace/genai/how-to/integrate_function_calling.md b/content/en/docs/marketplace/genai/how-to/integrate_function_calling.md
@@ -48,7 +48,7 @@ Selecting the infrastructure for integrating GenAI into your Mendix application
 
 * [Mendix Cloud GenAI Resource Packs](/appstore/modules/genai/mx-cloud-genai/resource-packs/): The [Mendix Cloud GenAI Connector](https://marketplace.mendix.com/link/component/239449) allows you to utilize Mendix Cloud GenAI Resource Packs directly within your Mendix application.
 
-* [OpenAI](/appstore/modules/genai/openai/): The [OpenAI Connector](https://marketplace.mendix.com/link/component/220472) supports both OpenAI’s platform and Azure’s OpenAI service.
+* [OpenAI](/appstore/modules/genai/openai/): The [OpenAI Connector](https://marketplace.mendix.com/link/component/220472) supports both OpenAI's platform and Microsoft Foundry.
 
 * [Amazon Bedrock](/appstore/modules/genai/bedrock/): The [Amazon Bedrock Connector](https://marketplace.mendix.com/link/component/215042) allows you to leverage Amazon Bedrock’s fully managed service to integrate foundation models from Amazon and leading AI providers. 
 
diff --git a/content/en/docs/marketplace/genai/how-to/start_from_a_starter_app.md b/content/en/docs/marketplace/genai/how-to/start_from_a_starter_app.md
@@ -46,7 +46,7 @@ Selecting the infrastructure for integrating GenAI into your Mendix application
 
 * [Mendix Cloud GenAI Resources Packs](/appstore/modules/genai/mx-cloud-genai/resource-packs/): The [Mendix Cloud GenAI Connector](https://marketplace.mendix.com/link/component/239449) integrates LLMs by dragging and dropping common operations from its toolbox in Studio Pro.
 
-* [OpenAI](/appstore/modules/genai/openai/): The [OpenAI Connector](https://marketplace.mendix.com/link/component/220472) supports OpenAI’s platform and Azure’s OpenAI service.
+* [OpenAI](/appstore/modules/genai/openai/): The [OpenAI Connector](https://marketplace.mendix.com/link/component/220472) supports OpenAI's platform and Microsoft Foundry.
 
 * [Amazon Bedrock](/appstore/modules/genai/bedrock/): The [Amazon Bedrock Connector](https://marketplace.mendix.com/link/component/215042) allows you to leverage Amazon Bedrock’s fully managed service to integrate foundation models from Amazon and leading AI providers. 
 
@@ -90,7 +90,7 @@ Follow the steps below to configure OpenAI for your application. For more inform
      * **API Type**: Choose between **OpenAI** or **Azure OpenAI**.
      * **Endpoint**: Enter the endpoint URL for your selected API type.
      * **API key**: Provide the API key for authentication.
-         * If using Azure OpenAI, add the **Azure key type** by choosing between **OpenAI** or **Azure OpenAI**.
+         * If using Microsoft Foundry, add the **Azure key type** by choosing between **OpenAI** or **Azure OpenAI***.
 
      * After saving the changes, a new pop-up will appear to add the deployment models. Select **Add deployed model** and provide the following details (optional for the OpenAI API Type):
          * **Display name**: A reference name for the deployed model (e.g., "GPT-4 Conversational").
diff --git a/content/en/docs/marketplace/genai/how-to/start_from_blank_app.md b/content/en/docs/marketplace/genai/how-to/start_from_blank_app.md
@@ -55,7 +55,7 @@ The [Blank GenAI App Template](https://marketplace.mendix.com/link/component/227
 Selecting the infrastructure for integrating GenAI into your Mendix application is the first step. Depending on your use case and preferences, you can choose from the following options:
 
 * [Mendix Cloud GenAI Resources Packs](/appstore/modules/genai/mx-cloud-genai/resource-packs/): The [Mendix Cloud GenAI Connector](https://marketplace.mendix.com/link/component/239449) integrates LLMs by dragging and dropping common operations from its toolbox in Studio Pro.
-* [OpenAI](/appstore/modules/genai/openai/): The [OpenAI Connector](https://marketplace.mendix.com/link/component/220472) supports both OpenAI’s platform and Azure’s OpenAI service.
+* [OpenAI](/appstore/modules/genai/openai/): The [OpenAI Connector](https://marketplace.mendix.com/link/component/220472) supports both OpenAI's platform and Microsoft Foundry.
 
 * [Amazon Bedrock](/appstore/modules/genai/bedrock/): The [Amazon Bedrock Connector](https://marketplace.mendix.com/link/component/215042) allows you to leverage Amazon Bedrock’s fully managed service to integrate foundation models from Amazon and leading AI providers. 
 
@@ -131,7 +131,7 @@ Follow the steps below to configure OpenAI for your application. For more inform
      * **API Type**: Choose between **OpenAI** or **Azure OpenAI**.
      * **Endpoint**: Enter the endpoint URL for your selected API type.
      * **API key**: Provide the API key for authentication.
-         * If using Azure OpenAI, add the **Azure key type** by choosing between **OpenAI** or **Azure OpenAI**.
+         * If using Microsoft Foundry, add the **Azure key type** by choosing between **OpenAI** or **Azure OpenAI***.
 
      * After saving the changes, a new pop-up will appear to add the deployment models. Select **Add deployed model** and provide the following details (optional for the OpenAI API Type):
          * **Display name**: A reference name for the deployed model (e.g., "GPT-4 Conversational").
diff --git a/content/en/docs/marketplace/genai/reference-guide/external-platforms/openai.md b/content/en/docs/marketplace/genai/reference-guide/external-platforms/openai.md
@@ -21,7 +21,7 @@ OpenAI provides market-leading LLM capabilities with GPT-4:
 * Creativity – Generate, edit, and iterate with end-users on creative and technical writing tasks, such as composing songs, writing screenplays, or learning an end-user’s writing style.
 * Longer context – GPT-4 can handle over 25,000 words of text, allowing for use cases like long-form content creation, extended conversations, and document search and analysis. 
 
-Mendix provides support for [OpenAI](https://platform.openai.com/) and [Microsoft Foundry](https://learn.microsoft.com/en-us/azure/ai-foundry/what-is-ai-foundry) (formerly known as Azure OpenAI or Cognitive Services). Microsoft Foundry is Microsoft's unified AI platform that provides access to OpenAI models.
+Mendix provides support for [OpenAI](https://platform.openai.com/) and [Microsoft Foundry](https://learn.microsoft.com/en-us/azure/ai-foundry/what-is-ai-foundry) (formerly known as Azure OpenAI or Cognitive Services). Microsoft Foundry is Microsoft's unified AI platform that streamlines the creation and management of AI agents and models, including the OpenAI models.
 
 With the current version, Mendix supports the Chat Completions API for [text generation](https://platform.openai.com/docs/guides/text-generation), the Image Generations API for [images](https://platform.openai.com/docs/guides/images), the Embeddings API for [vector embeddings](https://platform.openai.com/docs/guides/embeddings/what-are-embeddings), and indexes via [Azure AI Search](https://learn.microsoft.com/en-us/azure/search/) for knowledge base retrieval.
 
@@ -60,7 +60,7 @@ After you install the OpenAI Connector, you can find it in the **App Explorer**,
 
 1. Add the module role **OpenAIConnector.Administrator** to your Administrator user role in the security settings of your app. 
 2. Add the **Configuration_Overview** page (**USE_ME > Configuration**) to your navigation, or add the **Snippet_Configurations** to a page that is already part of your navigation. 
-3. Continue setting up your OpenAI configuration at runtime. Follow the instructions in either [OpenAI Configuration](#openai-configuration) or [Azure OpenAI Configuration](#azure-openai-configuration), depending on which platform you are using.
+3. Continue setting up your OpenAI configuration at runtime. Follow the instructions in either [OpenAI Configuration](#openai-configuration) or [Microsoft Foundry Configuration](#azure-openai-configuration), depending on which platform you are using.
 4. Configure the models you need to use for your use case.
 
 #### OpenAI Configuration {#openai-configuration} 
@@ -81,7 +81,7 @@ The following inputs are required for the Microsoft Foundry configuration:
 | Parameter      | Value                                                        |
 | -------------- | ------------------------------------------------------------ |
 | Display name | This is the name identifier of a configuration (for example, *MyConfiguration*). |
-| API type | Select `AzureOpenAI` for both Azure OpenAI and Microsoft Foundry deployments. |
+| API type | Select `AzureOpenAI` for Microsoft Foundry deployments. |
 | Endpoint | This is the API endpoint (for example, `https://your-resource-name.openai.azure.com/openai/deployments/`).<br />For details on how to obtain `your-resource-name`, see the [Obtaining Resource Name](#azure-resource-name) section below. |
 | Azure key type | This is the type of token that is entered in the API key field. For Azure OpenAI, two types of keys are currently supported: Microsoft Entra token and API key. <br />For details on how to generate a Microsoft Entra access token, see [How to Configure Azure OpenAI Service with Managed Identities](https://learn.microsoft.com/en-gb/azure/ai-services/openai/how-to/managed-identity). Alternatively, if your organization allows it, you could use the Azure `api-key` authentication mechanism. For details on how to obtain an API key, see the [Obtaining Azure OpenAI API keys](#azure-api-keys) section below. For more information, see the [Technical Reference](#technical-reference) section. |
 | Token / API key | This is the access token to authorize your API call. |
@@ -90,7 +90,7 @@ The following inputs are required for the Microsoft Foundry configuration:
 
 1. Go to the [Microsoft Foundry portal](https://ai.azure.com/) and sign in.
 2. Select the right resource in the upper right corner.
-3. The home page should show `Resource configuration` where you can find the `Azure OpenAI endpoint`
+3. The home page should show `Resource configuration` where you can find the `Microsoft Foundry endpoint`
 4. Use the copy icon ({{% icon name="copy" %}}) and use it as your resource name in the endpoint URL.
 
 ##### Obtaining API Keys {#azure-api-keys}
@@ -194,10 +194,10 @@ Use the two OpenAI-specific microflow actions from the toolbox [Files: Initializ
 {{% alert color="info" %}}
 OpenAI and Microsoft Foundry do not necessarily provide feature parity across all models when it comes to combining functionalities. In other words, Microsoft Foundry does not support the use of JSON mode and function calling in combination with image (vision) input for certain models, so make sure to check the [Azure Documentation](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models).
 
-When you use Azure OpenAI, it is recommended to set the optional `MaxTokens` input parameter; otherwise, the return output may be cut off.
+When you use Azure OpenAI, it is recommended to set the optional `MaxTokens` input parameter; otherwise, the response may be cut off.
 {{% /alert %}}
 
-For more information on vision, see [OpenAI](https://platform.openai.com/docs/guides/vision) and [Azure OpenAI](https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/gpt-with-vision) documentation.
+For more information on vision, see [OpenAI](https://platform.openai.com/docs/guides/vision) and [Microsoft Foundry](https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/gpt-with-vision) documentation.
 
 #### Document Chat {#chatcompletions-document}
 
@@ -325,7 +325,7 @@ Microsoft Foundry does not support the use of JSON mode and function calling in
 
 ### Chat Completions with Vision Response is Cut Off (Microsoft Foundry)
 
-When you use Microsoft Foundry, it is recommended to set the optional `MaxTokens` input parameter; otherwise, the response may be cut off. For more details, see the [Azure OpenAI Documentation](https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/gpt-with-vision?tabs=rest%2Csystem-assigned%2Cresource#call-the-chat-completion-apis).
+When you use Microsoft Foundry, it is recommended to set the optional `MaxTokens` input parameter; otherwise, the response may be cut off. For more details, see the [Microsoft Foundry Documentation](https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/gpt-with-vision?tabs=rest%2Csystem-assigned%2Cresource#call-the-chat-completion-apis).
 
 ### Attribute or Reference Required Error Message After Upgrade 
 
