Merge pull request #5687 from MicrosoftDocs/main

Auto Publish – main to live - 2025-06-24 16:58 UTC

Author: v-alje

.github/policies/disallow-edits.yml

@@ -19,18 +19,18 @@ configuration:
                 @${issueAuthor} - You tried to add an index file to this repository; this is not permitted so your pull request will be closed automatically.
           - closePullRequest
 
-      - description: Close PRs to the "ai-services/personalizer" and "ai-services/responsible-ai" folders where the author isn't a member of the MicrosoftDocs org (i.e. PRs in public repo).
+      - description: Close PRs to the "personalizer" and "responsible-ai" folders where the author isn't a member of the MicrosoftDocs org (i.e. PRs in public repo).
         if:
           - payloadType: Pull_Request
           - isAction:
               action: Opened
           - or:
             - filesMatchPattern:
                 matchAny: true
-                pattern: articles/ai-services/personalizer/*
+                pattern: articles/ai-foundry/responsible-ai/*
             - filesMatchPattern:
                 matchAny: true
-                pattern: articles/ai-services/responsible-ai/*
+                pattern: articles/ai-services/personalizer/*
           - not:
               activitySenderHasAssociation:
                 association: Member
@@ -40,14 +40,18 @@ configuration:
                 @${issueAuthor} - Pull requests that modify files in this folder aren't accepted from public contributors.
           - closePullRequest
 
-      - description: \@mention specific people when a PR is opened in the "ai-services/personalizer" folder.
+      - description: \@mention specific people when a PR is opened in the "personalizer" or "responsible-ai" folder.
         if:
           - payloadType: Pull_Request
           - isAction:
               action: Opened
-          - filesMatchPattern:
-              matchAny: true
-              pattern: articles/ai-services/personalizer/*
+          - or:
+            - filesMatchPattern:
+                matchAny: true
+                pattern: articles/ai-foundry/responsible-ai/*
+            - filesMatchPattern:
+                matchAny: true
+                pattern: articles/ai-services/personalizer/*
           - activitySenderHasAssociation:
               association: Member
           - not:

.gitignore

@@ -18,3 +18,4 @@ _repo.*/
 # CoPilot instructions and prompts
 .github/copilot-instructions.md
 .github/prompts/*.md
+.github/patterns/*.md

articles/ai-foundry/agents/breadcrumb/toc.yml

@@ -14,9 +14,9 @@
   topicHref: /azure/index
   items:
   - name: AI Foundry               # Original doc set name
-    tocHref: /legal/cognitive-services/openai    # Destination doc set route
+    tocHref: /azure/ai-foundry/responsible-ai/openai    # Destination doc set route
     topicHref: /azure/ai-services/agents/index    # Original doc set route
     items:
     - name: Agent Service      # Destination doc set name
-      tocHref: /legal/cognitive-services/openai      # Destination doc set route
+      tocHref: /azure/ai-foundry/responsible-ai/openai      # Destination doc set route
       topicHref: /azure/ai-services/agents/index    # Original doc set route

articles/ai-foundry/agents/concepts/agent-catalog.md

@@ -15,7 +15,7 @@ ms.custom:
 # Get started with the Agent Catalog
 
 Accelerate your agent development using code samples and best practices for creating agents. Each agent sample below links to a GitHub Repository, where you can browse the agent's configuration files, setup instructions and source code to start integrating them into your own project in code.
-With agents you create using these code samples, be sure to assess safety and legal implications, and to comply with all applicable laws and safety standards. See the [transparency note](/legal/cognitive-services/agents/transparency-note) for more information.
+With agents you create using these code samples, be sure to assess safety and legal implications, and to comply with all applicable laws and safety standards. See the [transparency note](/azure/ai-foundry/responsible-ai/agents/transparency-note) for more information.
 
 ## Prerequisites
 

articles/ai-foundry/agents/faq.yml

@@ -37,7 +37,7 @@ sections:
       - question: |
           Is my data used by Microsoft for training models? 
         answer: |
-          No. Data is not used by Microsoft for training models. See the [Responsible AI documentation](/legal/cognitive-services/openai/data-privacy?context=%2Fazure%2Fai-services%2Fopenai%2Fcontext%2Fcontext) for more information.
+          No. Data is not used by Microsoft for training models. See the [Responsible AI documentation](/azure/ai-foundry/responsible-ai/openai/data-privacy) for more information.
       - question: |
           Where is data stored geographically?
         answer: |

articles/ai-foundry/agents/toc.yml

@@ -131,9 +131,9 @@ items:
 - name: Responsible AI
   items:
     - name: Transparency note
-      href: /legal/cognitive-services/agents/transparency-note?context=/azure/ai-services/agents/context/context
+      href: ../../ai-foundry/responsible-ai/agents/transparency-note.md
     - name: Data, privacy, and security For Azure AI Foundry Agent Service
-      href: /legal/cognitive-services/agents/data-privacy-security?context=/azure/ai-services/agents/context/context
+      href: ../../ai-foundry/responsible-ai/agents/data-privacy-security.md
 - name: Reference
   items:
     - name: REST API

articles/ai-foundry/concepts/content-filtering.md

@@ -80,5 +80,5 @@ You can also enable the following special output filters:
 
 - Learn more about the [underlying models that power Azure OpenAI](../../ai-services/openai/concepts/models.md).
 - Azure AI Foundry content filtering is powered by [Azure AI Content Safety](../../ai-services/content-safety/overview.md).
-- Learn more about understanding and mitigating risks associated with your application: [Overview of Responsible AI practices for Azure OpenAI models](/legal/cognitive-services/openai/overview?context=/azure/ai-services/context/context).
+- Learn more about understanding and mitigating risks associated with your application: [Overview of Responsible AI practices for Azure OpenAI models](/azure/ai-foundry/responsible-ai/openai/overview).
 - Learn more about evaluating your generative AI models and AI systems via [Azure AI Evaluation](https://aka.ms/genaiopsevals). 

articles/ai-foundry/concepts/encryption-keys-portal.md

@@ -2,8 +2,8 @@
 title: Customer-Managed Keys for Azure AI Foundry
 titleSuffix: Azure AI Foundry
 description: Learn about using customer-managed keys for encryption to improve data security with Azure AI Foundry.
-author: Blackmist
-ms.author: larryfr
+ms.author: jburchel 
+author: jonburchel 
 ms.reviewer: deeikele
 ms.date: 05/01/2025
 ms.service: azure-ai-services

articles/ai-foundry/concepts/model-catalog-content-safety.md

@@ -34,7 +34,7 @@ Content filtering occurs synchronously as the service processes prompts to gener
 - When you first deploy a language model
 - Later, by selecting the content filtering toggle on the deployment details page
 
-Suppose you decide to use an API other than the [Foundry Models API](/azure/ai-studio/reference/reference-model-inference-api) to work with a model that is deployed via a standard deployment. In such a situation, content filtering (preview) isn't enabled unless you implement it separately by using Azure AI Content Safety. To get started with Azure AI Content Safety, see [Quickstart: Analyze text content](/azure/ai-services/content-safety/quickstart-text). You run a higher risk of exposing users to harmful content if you don't use content filtering (preview) when working with models that are deployed via standard deployments.
+Suppose you decide to use an API other than the [Model Inference API](/azure/ai-studio/reference/reference-model-inference-api) to work with a model that is deployed via a standard deployment. In such a situation, content filtering (preview) isn't enabled unless you implement it separately by using Azure AI Content Safety. To get started with Azure AI Content Safety, see [Quickstart: Analyze text content](/azure/ai-services/content-safety/quickstart-text). You run a higher risk of exposing users to harmful content if you don't use content filtering (preview) when working with models that are deployed via standard deployments.
 
 [!INCLUDE [content-safety-harm-categories](../includes/content-safety-harm-categories.md)]
 

articles/ai-foundry/concepts/models-featured.md

@@ -22,7 +22,7 @@ The Azure AI model catalog offers a large selection of Azure AI Foundry Models f
 
 [!INCLUDE [models-preview](../includes/models-preview.md)]
 
-To perform inferencing with the models, some models such as [Nixtla's TimeGEN-1](#nixtla) and [Cohere rerank](#cohere-rerank) require you to use custom APIs from the model providers. Others support inferencing using the [Foundry Models API](../model-inference/overview.md). You can find more details about individual models by reviewing their model cards in the [model catalog for Azure AI Foundry portal](https://ai.azure.com/explore/models).
+To perform inferencing with the models, some models such as [Nixtla's TimeGEN-1](#nixtla) and [Cohere rerank](#cohere-rerank) require you to use custom APIs from the model providers. Others support inferencing using the [Model Inference API](../model-inference/overview.md). You can find more details about individual models by reviewing their model cards in the [model catalog for Azure AI Foundry portal](https://ai.azure.com/explore/models).
 
 :::image type="content" source="../media/models-featured/models-catalog.gif" alt-text="An animation showing Azure AI Foundry model catalog section and the models available." lightbox="../media/models-featured/models-catalog.gif":::
 
@@ -67,7 +67,7 @@ The Cohere family of models includes various models optimized for different use
 
 ### Cohere command and embed
 
-The following table lists the Cohere models that you can inference via the Foundry Models API.
+The following table lists the Cohere models that you can inference via the Model Inference API.
 
 | Model  | Type | Capabilities | 
 | ------ | ---- | --- | 
@@ -363,7 +363,7 @@ xAI's Grok 3 and Grok 3 Mini models are designed to excel in various enterprise
 
 #### Inference examples: Stability AI
 
-Stability AI models deployed via standard deployment implement the Foundry Models API on the route `/image/generations`.
+Stability AI models deployed via standard deployment implement the Model Inference API on the route `/image/generations`.
 For examples of how to use Stability AI models, see the following examples:
 
 - [Use OpenAI SDK with Stability AI models for text to image requests](https://github.com/Azure/azureml-examples/blob/main/sdk/python/foundation-models/stabilityai/Text_to_Image_openai_library.ipynb)