Merge branch 'main' into sdg-freshness

Author: sdgilley

.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/.openpublishing.redirection.ai-studio.json

@@ -350,6 +350,11 @@
             "redirect_url": "/azure/ai-foundry/how-to/evaluate-results",
             "redirect_document_id": true
           },
+          {
+            "source_path_from_root": "/articles/ai-foundry/how-to/deploy-nvidia-inference-microservice.md",
+            "redirect_url": "/azure/ai-foundry/how-to/deploy-models-managed-pay-go#nvidia",
+            "redirect_document_id": true
+          },
           {
             "source_path_from_root": "/articles/ai-studio/how-to/fine-tune-managed-compute.md",
             "redirect_url": "/azure/ai-foundry/how-to/fine-tune-managed-compute",

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/how-to/tools/sharepoint.md

@@ -15,6 +15,13 @@ ms.custom: azure-ai-agents
 
 Integrate your agents with the **Microsoft SharePoint** to chat with your private documents securely. You can connect to your SharePoint site, such as `contoso.sharepoint.com/sites/policies` to ground your Agents with that data. When a user sends a query, the agent will determine if SharePoint should be leveraged or not. If so, it will send a query using the SharePoint tool, which checks if the user has a Microsoft 365 Copilot license and use managed identity to retrieve relevant documents they have access to. The scope of retrieval includes all supported documents in this SharePoint site. Lastly, the agent will generate responses based on retrieved information. With identity passthrough (On-Behalf-Of) authorization, this integration simplifies access to enterprise data in SharePoint while maintaining robust security, ensuring proper access control and enterprise-grade protection. 
 
+## How it works
+The SharePoint tool makes it possible by enabling seamless integrations between AI agents and business documents stored in SharePoint empowered by [Microsoft 365 Copilot API](/microsoft-365-copilot/extensibility/api-reference/retrieval-api-overview). To ground your SharePoint documents, you can simply enter the sites or folders to connect with, and SharePoint tool will leverage [built-in indexing capabilities](/microsoftsearch/semantic-index-for-copilot) to enhance search and retrieval experience, including intelligent indexing, query processing, and content chunking.
+
+Instead of requiring developers to export SharePoint content, build a custom semantic index, manage governance controls, and configure refresh logic, this capability automates the entire retrieval pipeline. It dynamically indexes documents, breaks content into meaningful chunks, and applies advanced query processing to surface the most relevant information. By leveraging the same enterprise-grade retrieval stack that powers Microsoft 365 Copilot, it ensures AI agent responses are grounded in the most up-to-date and contextually relevant content. 
+
+Customers rely on data security in SharePoint to access, create, and share documents with flexible document-level access control. Enterprise features such as Identity Passthrough/On-Behalf-Of (OBO) authentication ensure proper access control, allowing end users to receive responses generated from SharePoint documents they have permission to access. With OBO authentication, the Foundry Agent service uses the end user’s identity to authorize and retrieve relevant SharePoint documents, generating responses tailored towards specific end users. 
+
 ## Usage support
 
 |Azure AI foundry support  | Python SDK |	C# SDK | JavaScript SDK | REST API |Basic agent setup | Standard agent setup |
@@ -23,7 +30,7 @@ Integrate your agents with the **Microsoft SharePoint** to chat with your privat
 
 ## Prerequisites
 
-* Developers and end users have Microsoft 365 Copilot license.
+* Developers and end users have Microsoft 365 Copilot license, as required by [Microsoft 365 Copilot API](/microsoft-365-copilot/extensibility/api-reference/retrieval-api-overview).
 * Developers and end users have at least `Azure AI User` RBAC role. 
 * Developers and end users have at least `READ` access to the SharePoint site.
 

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/ai-resources.md

@@ -2,8 +2,8 @@
 title: Hubs and hub-based project overview
 titleSuffix: Azure AI Foundry
 description: This article introduces concepts about Azure AI Foundry hubs for your Azure AI Foundry projects.
-author: Blackmist
-ms.author: larryfr
+ms.author: sgilley
+author: sdgilley
 manager: scottpolly
 ms.reviewer: deeikele
 ms.date: 04/28/2025

articles/ai-foundry/concepts/architecture.md

@@ -10,8 +10,8 @@ ms.custom:
 ms.topic: concept-article
 ms.date: 04/28/2025
 ms.reviewer: deeikele
-ms.author: larryfr
-author: Blackmist
+ms.author: sgilley
+author: sdgilley
 ---
 
 # Azure AI Foundry architecture