Merge pull request #5436 from MicrosoftDocs/main

Taojunshen · web-flow · commit 953ea34089bc · 2025-06-10T01:01:34.000+08:00
6/9/2025 AM Publish
diff --git a/articles/ai-foundry/foundry-local/get-started.md b/articles/ai-foundry/foundry-local/get-started.md
@@ -106,6 +106,33 @@ foundry cache --help
 > [!TIP]
 > For a complete guide to all CLI commands and their usage, see the [Foundry Local CLI Reference](reference/reference-cli.md).
 
+## Upgrading Foundry Local
+
+To upgrade Foundry Local to the latest version, use the following commands based on your operating system:
+
+- **Windows**: Open a terminal and run:
+    ```bash
+    winget upgrade --id Microsoft.FoundryLocal
+    ```
+- **macOS**: Open a terminal and run:
+    ```bash
+    brew upgrade foundrylocal
+    ```
+
+## Uninstalling Foundry Local
+
+If you wish to uninstall Foundry Local, use the following commands based on your operating system:
+
+- **Windows**: Open a terminal and run:
+    ```bash
+    winget uninstall Microsoft.FoundryLocal
+    ```
+- **macOS**: Open a terminal and run:
+    ```bash
+    brew rm foundrylocal
+    brew untap microsoft/foundrylocal
+    brew cleanup --scrub
+    ```
 
 ## Next steps
 
diff --git a/articles/ai-foundry/foundry-local/reference/reference-cli.md b/articles/ai-foundry/foundry-local/reference/reference-cli.md
@@ -52,10 +52,7 @@ The following table summarizes the commands related to managing and running mode
 | `foundry model info <model> --license` | Displays the license information for a specific model.                           |
 | `foundry model download <model>`       | Downloads a model to the local cache without running it.                         |
 | `foundry model load <model>`           | Loads a model into the service.                                                  |
-| `foundry model unload <model>`         | Unloads a model from the service. **You must provide a valid model ID (not an alias).**.     |
-
-> [!IMPORTANT]
-> **For the `foundry model unload` command, you must provide a valid model ID (not an alias)** because you could have multiple models loaded with the same alias. For example, if you have `qwen2.5-0.5b-instruct-generic-cpu` *and*`qwen2.5-0.5b-instruct-cuda-gpu` loaded with both CPU and CUDA, you need to specify which one to unload.
+| `foundry model unload <model>`         | Unloads a model from the service.     |
 
 
 ## Service commands
@@ -83,7 +80,4 @@ The following table summarizes the commands related to managing the local cache
 | `foundry cache location`                | Displays the current cache directory.                          |
 | `foundry cache list`                    | Lists all models stored in the local cache.                    |
 | `foundry cache cd <path>`               | Changes the cache directory.                                   |
-| `foundry cache remove <model>` | Deletes a model from the local cache. **You must provide a valid model ID (not an alias).**      |
-
-> [!IMPORTANT]
-> **For the `foundry cache remove` command, you must provide a valid model ID (not an alias)** because you could have multiple models on disk with the same alias. For example, if you downloaded both `qwen2.5-0.5b-instruct-generic-cpu` *and* `qwen2.5-0.5b-instruct-cuda-gpu`, you need to specify which one to remove.
+| `foundry cache remove <model>` | Deletes a model from the local cache.      |
diff --git a/articles/ai-foundry/what-is-azure-ai-foundry.md b/articles/ai-foundry/what-is-azure-ai-foundry.md
@@ -58,7 +58,8 @@ This table summarizes features available in the two project types:
 | Capability | [!INCLUDE [fdp](includes/fdp-project-name.md)] | [!INCLUDE[hub](includes/hub-project-name.md)] |
 | --- | --- | --- |
 | Agents | ✅ (GA) | ✅ (Preview only) |
-| Azure OpenAI models | ✅ (Native support) | Available via connections |
+| Azure AI Foundry Models including Azure OpenAI models | ✅ (Native support) | Available via connections |
+| AI Foundry API to work with agents and across models| ✅ (Native support) | Available via connections |
 | Project files (directly upload files and start experimenting) | ✅ | |
 | Project-level isolation of files and outputs | ✅ | ✅|
 | Evaluations | ✅ | ✅ |
diff --git a/articles/ai-services/content-understanding/whats-new.md b/articles/ai-services/content-understanding/whats-new.md
@@ -58,6 +58,12 @@ This release introduces a new [classification API](concepts/classifier.md). This
 * Added support for face identification on extracted face thumbnails. The identity enhances the description and downstream tasks like search and retrieval. Learn more about [face detection in videos](video/overview.md#content-extraction---grouping-and-identification)
 * Added support for disabling face blurring in analyzer configuration. Learn more about [video processing improvements](video/overview.md#field-extraction--face-description).
 
+* ### Improvements to audio processing
+
+* Added additional locales for audio transcription. Learn more about [audio capabilities](audio/overview.md).
+* Added support for multilingual audio processing. Learn more about [language handling improvements in audio](audio/overview.md#language-handling).
+* Increased maximum supported file-size to ≤ 1 GB and length of ≤ 4 hours. Learn more about [audio service limits](service-limits.md).
+
 ### Face API
 
 This release adds new face detection and recognition capabilities to Content Understanding. You can create a directory of faces and persons. The directory can be used to recognize the faces in the processed content. Learn more about [detecting and recognizing faces](face/overview.md).
diff --git a/articles/machine-learning/how-to-secure-kubernetes-online-endpoint.md b/articles/machine-learning/how-to-secure-kubernetes-online-endpoint.md
@@ -176,12 +176,12 @@ TLS/SSL certificates expire and must be renewed. Typically, this happens every y
 
 To disable TLS for a model deployed to Kubernetes:
 
-1. Update the Azure Machine Learning extension with `allowInsercureconnection` set to `True`.
+1. Update the Azure Machine Learning extension with `allowInsecureConnections` set to `True`.
 1. Remove the `sslCname` configuration setting, along with the `sslSecret` or `sslPem` configuration settings.
 1. Run the following Azure CLI command in your Kubernetes cluster, and then perform an update. This command assumes that you're using AKS.
 
    ```azurecli
-      az k8s-extension update --name <extension-name> --extension-type Microsoft.AzureML.Kubernetes --config enableInference=True inferenceRouterServiceType=LoadBalancer allowInsercureconnection=True --cluster-type managedClusters --cluster-name <your-AKS-cluster-name> --resource-group <your-RG-name> --scope cluster
+      az k8s-extension update --name <extension-name> --extension-type Microsoft.AzureML.Kubernetes --config enableInference=True inferenceRouterServiceType=LoadBalancer allowInsecureConnections=True --cluster-type managedClusters --cluster-name <your-AKS-cluster-name> --resource-group <your-RG-name> --scope cluster
    ```
 
 > [!WARNING]
diff --git a/articles/search/samples-rest.md b/articles/search/samples-rest.md
@@ -28,7 +28,7 @@ Code samples from the Azure AI Search team demonstrate features and workflows. M
 |---------|---------|
 | [quickstart](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/Quickstart) | Source code for [Quickstart: Text search using REST](search-get-started-rest.md). This sample covers the basic workflow for creating, loading, and querying a search index using sample data. |
 | [quickstart-vectors](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/Quickstart-vectors) | Source code for [Quickstart: Vector search using REST APIs](search-get-started-vector.md). This sample covers the basic workflow for indexing and querying vector data. |
-| [quickstart-agentic-retrieval](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/agentic-retrieval) | Source code for the REST portion of [Quickstart: Run agentic retrieval in Azure AI Search](search-get-started-agentic-retrieval.md). This sample shows you how to create a knowledge agent in Azure AI Search to integrate LLM reasoning into query planning. |
+| [quickstart-agentic-retrieval](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/Quickstart-agentic-retrieval) | Source code for the REST portion of [Quickstart: Run agentic retrieval in Azure AI Search](search-get-started-agentic-retrieval.md). This sample shows you how to create a knowledge agent in Azure AI Search to integrate LLM reasoning into query planning. |
 | [skillset-tutorial](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/skillset-tutorial) | Source code for [Tutorial: Use REST and AI to generate searchable content from Azure blobs](cognitive-search-tutorial-blob.md). This sample shows you how to create a skillset that iterates over Azure blobs to extract information and infer structure.|
 | [skill examples](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/skill-examples) | Skillset examples in indexer pipelines that include indexes and indexers so that you can follow field mappings, output field mappings, and source paths. |
 | [debug-sessions](https://github.com/Azure-Samples/azure-search-rest-samples/tree/main/Debug-sessions) | Source code for [Tutorial: Diagnose, repair, and commit changes to your skillset](cognitive-search-tutorial-debug-sessions.md). This sample shows you how to use a skillset debug session in the Azure portal. REST is used to create the objects used during debug.|
