Merge pull request #7214 from MicrosoftDocs/main

Auto Publish – main to live - 2025-09-23 05:03 UTC

Author: learn-build-service-prod[bot]

articles/ai-foundry/foundry-local/how-to/how-to-chat-application-with-open-web-ui.md

@@ -31,28 +31,27 @@ Before you start this tutorial, you need:
 
 1. **Install Open Web UI** by following the instructions from the [Open Web UI GitHub repository](https://github.com/open-webui/open-webui).
 
-2. **Launch Open Web UI** with this command in your terminal:
+1. **Launch Open Web UI** with this command in your terminal:
 
    ```bash
    open-webui serve
    ```
 
-3. Open your web browser and go to [http://localhost:8080](http://localhost:8080).
+1. Open your web browser and go to [http://localhost:8080](http://localhost:8080).
 
-4. **Connect Open Web UI to Foundry Local**:
+1. **Connect Open Web UI to Foundry Local**:
 
    1. Select **Settings** in the navigation menu
-   2. Select **Connections**
-   3. Select **Manage Direct Connections**
-   4. Select the **+** icon to add a connection
-   5. For the **URL**, enter `http://localhost:PORT/v1` where `PORT` is replaced with the port of the Foundry Local endpoint, which you can find using the CLI command `foundry service status`. Note, that Foundry Local dynamically assigns a port, so it's not always the same.
-   6. Type any value (like `test`) for the API Key, since it can't be empty.
-   7. Save your connection
-
-5. **Start chatting with your model**:
+   1. Select **External Tools** or **Connections** (depending on your Open WebUI version).
+   1. Select **+** by **Manage Tool Servers**.
+   1. For the **Base URL (or URL)**, enter `http://localhost:PORT/v1` where `PORT` is the Foundry Local endpoint port (use the CLI command `foundry service status` to find it). Note that Foundry Local dynamically assigns a port, so it isn't always the same.
+   1. Enter any non-empty value for the **API key** (for example, `test`)
+   1. Select **Save**
+
+1. **Start chatting with your model**:
    1. Your loaded models appear in the dropdown at the top
-   2. Select any model from the list
-   3. Type your message in the input box at the bottom
+   1. Select any model from the list
+   1. Type your message in the input box at the bottom
 
 That's it! You're now chatting with an AI model running entirely on your local device.
 

articles/ai-foundry/foundry-models/includes/models-azure-direct-others.md

@@ -14,15 +14,15 @@ author: msakande
 
 ## Black Forest Labs models sold directly by Azure
 
-The Black Forest Labs collection of image generation models includes FLUX.1 Kontext [pro] for in-context generation and editing and FLUX1.1 [pro] for text-to-image generation.  
+The Black Forest Labs (BFL) collection of image generation models includes FLUX.1 Kontext [pro] for in-context generation and editing and FLUX1.1 [pro] for text-to-image generation.  
 
-You can run these models via our service provider API and through the [images/generations and images/edits endpoints](../../openai/reference-preview.md). 
+You can run these models via the BFL service provider API and through the [images/generations and images/edits endpoints](../../openai/reference-preview.md). 
 
 
-| Model  | Type | Capabilities | Deployment type (region availability) | Project type | 
-| ------ | ---- | ------------ | ------------------------------------- | ------------ |
-| [FLUX.1-Kontext-pro](https://ai.azure.com/explore/models/FLUX.1-Kontext-pro/version/1/registry/azureml-blackforestlabs/?cid=learnDocs) | Image generation | - **Input:** text and image (5,000 tokens and 1 image)  <br /> - **Output:** One Image  <br />  - **Tool calling:** No <br /> - **Response formats**: Image (PNG and JPG) <br /> - **Additional Parameters**: Seed, Aspect Ratio | - Global standard (all regions) | Foundry, Hub-based |
-| [FLUX-1.1-pro](https://ai.azure.com/explore/models/FLUX-1.1-pro/version/1/registry/azureml-blackforestlabs/?cid=learnDocs) | Image generation | - **Input:** text (5,000 tokens)  <br /> - **Output:** One Image  <br />  - **Tool calling:** No <br /> - **Response formats:** Image (PNG and JPG) | - Global standard (all regions) | Hub-based |
+| Model  | Type & API endpoint| Capabilities | Deployment type (region availability) | Project type | 
+| ------ | ------------------ | ------------ | ------------------------------------- | ------------ |
+| [FLUX.1-Kontext-pro](https://ai.azure.com/explore/models/FLUX.1-Kontext-pro/version/1/registry/azureml-blackforestlabs/?cid=learnDocs) | **Image generation** <br> - [Image API](../../openai/reference-preview.md): `https://<resource-name>/openai/deployments/{deployment-id}/images/generations` <br> and <br> `https://<resource-name>/openai/deployments/{deployment-id}/images/edits` <br> <br> - [BFL service provider API](https://docs.bfl.ai/kontext/kontext_text_to_image): ` <resource-name>/providers/blackforestlabs/v1/flux-kontext-pro?api-version=preview `  | - **Input:** text and image (5,000 tokens and 1 image)  <br /> - **Output:** One Image  <br />  - **Tool calling:** No <br /> - **Response formats**: Image (PNG and JPG) <br /> - **Key features:** Character consistency, advanced editing <br /> - **Additional parameters:** *(In provider-specific API only)* `seed`, `aspect ratio`, `input_image`, `prompt_unsampling`, `safety_tolerance`, `output_format`, `webhook_url`, `webhook_secret`  |- Global standard (all regions) | Foundry, Hub-based |
+| [FLUX-1.1-pro](https://ai.azure.com/explore/models/FLUX-1.1-pro/version/1/registry/azureml-blackforestlabs/?cid=learnDocs) | **Image generation** <br> - [Image API](../../openai/reference-preview.md): `https://<resource-name>/openai/deployments/{deployment-id}/images/generations` <br> <br> - [BFL service provider API](https://docs.bfl.ai/flux_models/flux_1_1_pro): ` <resource-name>/providers/blackforestlabs/v1/flux-pro-1.1?api-version=preview ` | - **Input:** text (5,000 tokens and 1 image)  <br /> - **Output:** One Image  <br />  - **Tool calling:** No <br /> - **Response formats:** Image (PNG and JPG) <br /> - **Key features:** Fast inference speed, strong prompt adherence, competitive pricing, scalable generation <br /> - **Additional parameters:** *(In provider-specific API only)* `width`, `height`, `prompt_unsampling`, `seed`, `safety_tolerance`, `output_format`, `webhook_url`, `webhook_secret` | - Global standard (all regions) | Hub-based |
 
 
 See [this model collection in Azure AI Foundry portal](https://ai.azure.com/explore/models?&selectedCollection=black+forest+labs/?cid=learnDocs).

articles/ai-foundry/responsible-ai/document-intelligence/data-privacy-security.md

@@ -7,7 +7,7 @@ ms.author: lajanuar
 manager: nitinme
 ms.service: azure-ai-document-intelligence
 ms.topic: article
-ms.date: 05/04/2021
+ms.date: 09/22/2025
 ---
 
 
@@ -41,6 +41,6 @@ The "Get Analyze Results" operation is authenticated against the same API key th
 
 **For customer trained models**: The Custom model feature allows customers to build custom models from training data stored in customer’s Azure blob storage locations. The interim outputs after analysis and labeling are stored in the same location. The trained custom models are stored in Azure storage in the same region and logically isolated with their Azure subscription and API credentials.
 
-**Deletes data**: For all features, the input data and results are deleted within 24 hours and not used for any other purpose. For customer trained models, the customers can delete their models and associated metadata at any time by using the API.
+**Deletes data**: Customers can delete the analysis response at any time by utilizing the [**Delete Analyze Result**](/rest/api/aiservices/document-models/delete-analyze-result?view=rest-aiservices-v4.0%20(2024-11-30)&preserve-view=true&tabs=HTTP) API. . After successfully retrieving the analysis results, calling the [**Delete Analyze Result**](/rest/api/aiservices/document-models/delete-analyze-result?view=rest-aiservices-v4.0%20(2024-11-30)&preserve-view=true&tabs=HTTP) API permanently purges those results.
 
 To learn more about privacy and security commitments, see the [Microsoft Trust Center](https://www.microsoft.com/TrustCenter/CloudServices/Azure/default.aspx).

articles/ai-services/speech-service/toc.yml

@@ -466,6 +466,9 @@ items:
             href: /python/api/azure-cognitiveservices-speech/
       - name: Voice Live SDK (Preview)
         items:
+          - name: 'C#'
+            displayName: CSharp SDK,.NET SDK,C# SDK,C# dev kit,reference,reference docs,ref documentation
+            href: /dotnet/api/overview/azure/ai.voicelive-readme      
           - name: Python
             displayName: Python SDK,Python dev kit,reference,reference docs,ref documentation
             href: /python/api/overview/azure/ai-voicelive-readme