Merge pull request #262686 from MicrosoftDocs/main

1/8/2023 AM Publish

Author: Taojunshen

.openpublishing.redirection.azure-monitor.json

@@ -430,6 +430,11 @@
             "redirect_url": "/previous-versions/azure/azure-monitor/visualize/workbooks-view-designer-conversion-overview",
             "redirect_document_id": false
         },
+        {
+            "source_path_from_root": "/articles/azure-monitor/visualize/workbooks-retrieve-legacy-workbooks.md",
+            "redirect_url": "/previous-versions/azure/azure-monitor/visualize/workbooks-retrieve-legacy-workbooks",
+            "redirect_document_id": false
+        },
         {
             "source_path_from_root": "/articles/azure-monitor/visualize/workbooks-view-designer-conversions.md",
             "redirect_url": "/previous-versions/azure/azure-monitor/visualize/workbooks-view-designer-conversions",
@@ -6056,7 +6061,7 @@
         },
         {
             "source_path_from_root": "/articles/azure-monitor/alerts/alerts-using-migration-tool.md",
-            "redirect_url": "previous-versions/azure/azure-monitor/alerts/alerts-using-migration-tool",
+            "redirect_url": "/previous-versions/azure/azure-monitor/alerts/alerts-using-migration-tool",
             "redirect_document_id": false
         },
         {
@@ -6079,6 +6084,21 @@
             "redirect_url": "/previous-versions/azure/azure-monitor/visualize/view-designer-filters",
             "redirect_document_id": false
         },
+        {
+            "source_path_from_root": "/articles/azure-monitor/visualize/workbooks-configurations.md",
+            "redirect_url": "/azure/azure-monitor/visualize/workbooks-manage",
+            "redirect_document_id": false
+        },
+        {
+            "source_path_from_root": "/articles/azure-monitor/visualize/workbooks-getting-started.md",
+            "redirect_url": "/azure/azure-monitor/visualize/workbooks-overview",
+            "redirect_document_id": false
+        },
+        {
+            "source_path_from_root": "/articles/azure-monitor/visualize/workbooks-commonly-used-components.md",
+            "redirect_url": "/azure/azure-monitor/visualize/workbooks-visualizations",
+            "redirect_document_id": false
+        },
         {
             "source_path_from_root": "/articles/azure-monitor/app/export-telemetry.md",
             "redirect_url": "/previous-versions/azure/azure-monitor/app/export-telemetry",

articles/active-directory-b2c/technicalprofiles.md

@@ -9,7 +9,7 @@ manager: CelesteDG
 ms.service: active-directory
 
 ms.topic: reference
-ms.date: 06/22/2023
+ms.date: 01/08/2024
 ms.author: kengaderdus
 ms.subservice: B2C
 ---
@@ -55,7 +55,7 @@ All types of technical profiles share the same concept. They start by reading th
     - Calls a REST API while sending parameters as InputClaims and getting information back as OutputClaims.
     - Creates or updates the user account.
     - Sends and verifies the multifactor authentication text message.
-1. **Validation technical profiles**: A [self-asserted technical profile](self-asserted-technical-profile.md) can call [validation technical profiles](validation-technical-profile.md) to validate the data profiled by the user.
+1. **Validation technical profiles**: A [self-asserted technical profile](self-asserted-technical-profile.md) can call [validation technical profiles](validation-technical-profile.md) to validate the data profiled by the user. Only self-asserted technical profiles can use validation technical profiles.
 1. **Output claims**: Claims are returned back to the claims bag. You can use those claims in the next orchestrations step or output claims transformations.
 1. **Output claims transformations**: After the technical profile is completed, Azure AD B2C runs output [claims transformations](claimstransformations.md).
 1. **SSO session management**: Persists the technical profile's data to the session by using [SSO session management](custom-policy-reference-sso.md).

articles/active-directory-b2c/user-profile-attributes.md

@@ -5,7 +5,7 @@ author: kengaderdus
 manager: CelesteDG
 ms.service: active-directory
 ms.topic: conceptual
-ms.date: 11/20/2023
+ms.date: 01/08/2024
 ms.author: kengaderdus
 ms.subservice: B2C
 ms.custom: b2c-support
@@ -48,7 +48,7 @@ Azure AD B2C directory user profile supports the [user resource type](/graph/api
 |creationType    |String|If the user account was created as a local account for an Azure Active Directory B2C tenant, the value is LocalAccount or nameCoexistence. Read only.|No|No|Persisted, Output|
 |dateOfBirth     |Date|Date of birth.|No|No|Persisted, Output|
 |department      |String|The name for the department in which the user works. Max length 64.|Yes|No|Persisted, Output|
-|displayName     |String|The display name for the user. Max length 256. \< \> characters aren't allowed. | Yes|Yes|Persisted, Output|
+|displayName     |String|The display name for the user. Max length 256. | Yes|Yes|Persisted, Output|
 |facsimileTelephoneNumber<sup>1</sup>|String|The telephone number of the user's business fax machine.|Yes|No|Persisted, Output|
 |givenName       |String|The given name (first name) of the user. Max length 64.|Yes|Yes|Persisted, Output|
 |jobTitle        |String|The user's job title. Max length 128.|Yes|Yes|Persisted, Output|

articles/ai-services/content-safety/whats-new.md

@@ -16,6 +16,17 @@ ms.author: pafarley
 
 Learn what's new in the service. These items might be release notes, videos, blog posts, and other types of information. Bookmark this page to stay up to date with new features, enhancements, fixes, and documentation updates.
 
+## January 2024
+
+### Content Safety SDK GA
+
+The Azure AI Content Safety service is now generally available through the following client library SDKs:
+
+- **C#**: [Package](https://www.nuget.org/packages/Azure.AI.ContentSafety) | [API reference](/dotnet/api/overview/azure/ai.contentsafety-readme?view=azure-dotnet) | [Samples](https://github.com/Azure-Samples/AzureAIContentSafety/tree/main/dotnet/1.0.0)
+- **Python**: [Package](https://pypi.org/project/azure-ai-contentsafety/) | [API reference](/python/api/overview/azure/ai-contentsafety-readme?view=azure-python) | [Samples](https://github.com/Azure-Samples/AzureAIContentSafety/tree/main/python/1.0.0)
+- **Java**: [Package](https://oss.sonatype.org/#nexus-search;quick~contentsafety) | [API reference](/java/api/overview/azure/ai-contentsafety-readme?view=azure-java-stable) | [Samples](https://github.com/Azure-Samples/AzureAIContentSafety/tree/main/java/1.0.0)
+- **JavaScript**: [Package](https://www.npmjs.com/package/@azure-rest/ai-content-safety?activeTab=readme) | [API reference](https://www.npmjs.com/package/@azure-rest/ai-content-safety/v/1.0.0) | [Samples](https://github.com/Azure-Samples/AzureAIContentSafety/tree/main/js/1.0.0)
+
 ## November 2023
 
 ### Jailbreak risk and Protected material detection (preview)

articles/ai-services/openai/gpt-v-quickstart.md

@@ -5,7 +5,7 @@ description: Use this article to get started using Azure OpenAI to deploy and us
 services: cognitive-services
 manager: nitinme
 ms.service: azure-ai-openai
-ms.custom: devx-track-python, devx-track-dotnet, devx-track-extended-java, devx-track-go, devx-track-js
+ms.custom: devx-track-python
 ms.topic: quickstart
 author: PatrickFarley
 ms.author: pafarley
@@ -31,4 +31,4 @@ zone_pivot_groups: openai-quickstart-gpt-v
 
 * Learn more about these APIs in the [GPT-4 Turbo with Vision how-to guide](./gpt-v-quickstart.md)
 * [GPT-4 Turbo with Vision frequently asked questions](./faq.yml#gpt-4-turbo-with-vision)
-* [GPT-4 Turbo with Vision API reference](https://aka.ms/gpt-v-api-ref)
+* [GPT-4 Turbo with Vision API reference](https://aka.ms/gpt-v-api-ref)

articles/ai-services/openai/tutorials/embeddings.md

@@ -11,8 +11,7 @@ author: mrbullwinkle #noabenefraim
 ms.author: mbullwin
 zone_pivot_groups: "openai-embeddings"
 recommendations: false
-ms.custom:
-
+ms.custom: devx-track-python
 ---
 
 # Tutorial: Explore Azure OpenAI Service embeddings and document search

articles/ai-studio/how-to/prompt-flow-tools/azure-open-ai-gpt-4v-tool.md

@@ -2,27 +2,34 @@
 title: Azure OpenAI GPT-4 Turbo with Vision tool in Azure AI Studio
 titleSuffix: Azure AI Studio
 description: This article introduces the Azure OpenAI GPT-4 Turbo with Vision tool for flows in Azure AI Studio.
+manager: nitinme
 ms.service: azure-ai-studio
-ms.topic: reference
-author: likebupt
-ms.author: keli19
-ms.reviewer: eur
-ms.date: 01/02/2024
+ms.topic: how-to
+ms.date: 1/8/2024
+author: lgayhardt
+ms.author: lagayhar
+ms.reviewer: keli19
+ms.custom: references_regions
 ---
 
-# Azure OpenAI GPT-4 Turbo with Vision tool (preview) in Azure AI studio
+# Azure OpenAI GPT-4 Turbo with Vision tool in Azure AI Studio
 
-Azure OpenAI GPT-4 Turbo with Vision tool enables you to leverage your AzureOpenAI GPT-4 Turbo with Vision model deployment to analyze images and provide textual responses to questions about them.
+[!INCLUDE [Azure AI Studio preview](../../includes/preview-ai-studio.md)]
+
+The prompt flow *Azure OpenAI GPT-4 Turbo with Vision* tool enables you to use your Azure OpenAI GPT-4 Turbo with Vision model deployment to analyze images and provide textual responses to questions about them.
 
 ## Prerequisites
 
-- Create a GPT-4 Turbo with Vision deployment
+- An Azure subscription - <a href="https://azure.microsoft.com/free/cognitive-services" target="_blank">Create one for free</a>.
+- Access granted to Azure OpenAI in the desired Azure subscription.
+
+    Currently, access to this service is granted only by application. You can apply for access to Azure OpenAI by completing the form at <a href="https://aka.ms/oai/access" target="_blank">https://aka.ms/oai/access</a>. Open an issue on this repo to contact us if you have an issue.
 
-    In AI studio, select **Deployments** from the left navigation pane and create a deployment by selecting model name: `gpt-4v`.
+- An [Azure AI resource](../../how-to/create-azure-ai-resource.md) with a GPT-4 Turbo with Vision model deployed in one of the regions that support GPT-4 Turbo with Vision: Australia East, Switzerland North, Sweden Central, and West US. When you deploy from your project's **Deployments** page, select: `gpt-4` as the model name and `vision-preview` as the model version.
 
 ## Connection
 
-Setup connections to provisioned resources in prompt flow.
+Set up connections to provisioned resources in prompt flow.
 
 | Type        | Name     | API KEY  | API Type | API Version |
 |-------------|----------|----------|----------|-------------|
@@ -32,15 +39,15 @@ Setup connections to provisioned resources in prompt flow.
 
 | Name                   | Type        | Description                                                                                    | Required |
 |------------------------|-------------|------------------------------------------------------------------------------------------------|----------|
-| connection             | AzureOpenAI | the AzureOpenAI connection to be used in the tool                                              | Yes      |
-| deployment\_name       | string      | the language model to use                                                                      | Yes      |
-| prompt                 | string      | The text prompt that the language model will use to generate its response.                    | Yes      |
-| max\_tokens            | integer     | the maximum number of tokens to generate in the response. Default is 512.                      | No       |
-| temperature            | float       | the randomness of the generated text. Default is 1.                                            | No       |
-| stop                   | list        | the stopping sequence for the generated text. Default is null.                                 | No       |
-| top_p                  | float       | the probability of using the top choice from the generated tokens. Default is 1.               | No       |
-| presence\_penalty      | float       | value that controls the model's behavior with regard to repeating phrases. Default is 0.      | No       |
-| frequency\_penalty     | float       | value that controls the model's behavior with regard to generating rare phrases. Default is 0. | No       |
+| connection             | AzureOpenAI | The Azure OpenAI connection to be used in the tool.                                              | Yes      |
+| deployment\_name       | string      | The language model to use.                                                                      | Yes      |
+| prompt                 | string      | Text prompt that the language model uses to generate its response.                    | Yes      |
+| max\_tokens            | integer     | Maximum number of tokens to generate in the response. Default is 512.                      | No       |
+| temperature            | float       | Randomness of the generated text. Default is 1.                                            | No       |
+| stop                   | list        | Stopping sequence for the generated text. Default is null.                                 | No       |
+| top_p                  | float       | Probability of using the top choice from the generated tokens. Default is 1.               | No       |
+| presence\_penalty      | float       | Value that controls the model's behavior regarding repeating phrases. Default is 0.      | No       |
+| frequency\_penalty     | float       | Value that controls the model's behavior regarding generating rare phrases. Default is 0. | No       |
 
 ## Outputs
 

articles/ai-studio/how-to/prompt-flow-tools/content-safety-tool.md

@@ -2,15 +2,15 @@
 title: Content Safety tool for flows in Azure AI Studio
 titleSuffix: Azure AI Studio
 description: This article introduces the Content Safety tool for flows in Azure AI Studio.
-author: eric-urban
 manager: nitinme
 ms.service: azure-ai-studio
 ms.custom:
   - ignite-2023
-ms.topic: conceptual
+ms.topic: how-to
 ms.date: 11/15/2023
-ms.reviewer: eur
-ms.author: eur
+author: lgayhardt
+ms.author: lagayhar
+ms.reviewer: keli19
 ---
 
 # Content safety tool for flows in Azure AI Studio

articles/ai-studio/how-to/prompt-flow-tools/embedding-tool.md

@@ -2,15 +2,15 @@
 title: Embedding tool for flows in Azure AI Studio
 titleSuffix: Azure AI Studio
 description: This article introduces the Embedding tool for flows in Azure AI Studio.
-author: eric-urban
 manager: nitinme
 ms.service: azure-ai-studio
 ms.custom:
   - ignite-2023
-ms.topic: conceptual
+ms.topic: how-to
 ms.date: 11/15/2023
-ms.reviewer: eur
-ms.author: eur
+author: lgayhardt
+ms.author: lagayhar
+ms.reviewer: keli19
 ---
 
 # Embedding tool for flows in Azure AI Studio

articles/ai-studio/how-to/prompt-flow-tools/faiss-index-lookup-tool.md

@@ -2,15 +2,15 @@
 title: Faiss Index Lookup tool for flows in Azure AI Studio
 titleSuffix: Azure AI Studio
 description: This article introduces the Faiss Index Lookup tool for flows in Azure AI Studio.
-author: eric-urban
 manager: nitinme
 ms.service: azure-ai-studio
 ms.custom:
   - ignite-2023
-ms.topic: conceptual
+ms.topic: how-to
 ms.date: 11/15/2023
-ms.reviewer: eur
-ms.author: eur
+author: lgayhardt
+ms.author: lagayhar
+ms.reviewer: keli19
 ---
 
 # Faiss Index Lookup tool for flows in Azure AI Studio