Merge branch 'main' of https://github.com/MicrosoftDocs/azure-ai-docs-pr into imagen

Author: PatrickFarley

.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 +18,5 @@ _repo.*/
 # CoPilot instructions and prompts
 .github/copilot-instructions.md
 .github/prompts/*.md
+.github/prompts/*.zip
+.github/patterns/*.md

.openpublishing.publish.config.json

@@ -182,6 +182,12 @@
       "branch": "main",
       "branch_mapping": {}
     },
+    {
+      "path_to_root": "azure-search-javascript-samples",
+      "url": "https://github.com/Azure-Samples/azure-search-javascript-samples",
+      "branch": "main",
+      "branch_mapping": {}
+    },
     {
       "path_to_root": "azureai-model-inference-bicep",
       "url": "https://github.com/Azure-Samples/azureai-model-inference-bicep",

.openpublishing.redirection.json

@@ -1,4 +1,4 @@
-{ 
+{
   "redirections": [
     {
       "source_path": "articles/ai-foundry/concepts/connections.md",
@@ -319,6 +319,171 @@
       "source_path_from_root": "/articles/ai-services/language-service/tutorials/prompt-flow.md",
       "redirect_url": "/azure/ai-services/language-service/tutorials/power-automate",
       "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/concepts/content-filter.md",
+      "redirect_url": "../../foundry-models/concepts/content-filter",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/concepts/default-safety-policies.md",
+      "redirect_url": "../../foundry-models/concepts/default-safety-policies",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/concepts/deployment-types.md",
+      "redirect_url": "../../foundry-models/concepts/deployment-types",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/concepts/endpoints.md",
+      "redirect_url": "../../foundry-models/concepts/endpoints",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/concepts/models.md",
+      "redirect_url": "../../foundry-models/concepts/models",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/concepts/model-versions.md",
+      "redirect_url": "../../foundry-models/concepts/model-versions",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/how-to/configure-content-filters.md",
+      "redirect_url": "../../foundry-models/how-to/configure-content-filters",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/how-to/configure-deployment-policies.md",
+      "redirect_url": "../../foundry-models/how-to/configure-deployment-policies",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/how-to/configure-entra-id.md",
+      "redirect_url": "../../foundry-models/how-to/configure-entra-id",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/how-to/configure-marketplace.md",
+      "redirect_url": "../../foundry-models/how-to/configure-marketplace",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/how-to/configure-project-connection.md",
+      "redirect_url": "../../foundry-models/how-to/configure-project-connection",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/how-to/create-model-deployments.md",
+      "redirect_url": "../../foundry-models/how-to/create-model-deployments",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/how-to/inference.md",
+      "redirect_url": "../../foundry-models/how-to/inference",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/how-to/manage-costs.md",
+      "redirect_url": "../../foundry-models/how-to/manage-costs",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/how-to/monitor-models.md",
+      "redirect_url": "../../foundry-models/how-to/monitor-models",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/how-to/quickstart-ai-project.md",
+      "redirect_url": "../../foundry-models/how-to/quickstart-ai-project",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/how-to/quickstart-create-resources.md",
+      "redirect_url": "../../foundry-models/how-to/quickstart-create-resources",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/how-to/quickstart-github-models.md",
+      "redirect_url": "../../foundry-models/how-to/quickstart-github-models",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/how-to/use-blocklists.md",
+      "redirect_url": "../../foundry-models/how-to/use-blocklists",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/how-to/use-chat-completions.md",
+      "redirect_url": "../../foundry-models/how-to/use-chat-completions",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/how-to/use-chat-multi-modal.md",
+      "redirect_url": "../../foundry-models/how-to/use-chat-multi-modal",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/how-to/use-chat-reasoning.md",
+      "redirect_url": "../../foundry-models/how-to/use-chat-reasoning",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/how-to/use-embeddings.md",
+      "redirect_url": "../../foundry-models/how-to/use-embeddings",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/how-to/use-image-embeddings.md",
+      "redirect_url": "../../foundry-models/how-to/use-image-embeddings",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/how-to/use-structured-outputs.md",
+      "redirect_url": "../../foundry-models/how-to/use-structured-outputs",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/how-to/github/create-model-deployments.md",
+      "redirect_url": "../../../foundry-models/how-to/github/create-model-deployments",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/tutorials/get-started-deepseek-r1.md",
+      "redirect_url": "../../foundry-models/tutorials/get-started-deepseek-r1",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/overview.md",
+      "redirect_url": "../foundry-models/overview",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/quotas-limits.md",
+      "redirect_url": "../foundry-models/quotas-limits",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/supported-languages.md",
+      "redirect_url": "../foundry-models/supported-languages",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/supported-languages-openai.md",
+      "redirect_url": "../foundry-models/supported-languages-openai",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/faq.yml",
+      "redirect_url": "../foundry-models/faq",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/ai-foundry/model-inference/index.yml",
+      "redirect_url": "../foundry-models/index",
+      "redirect_document_id": false
     }
   ]
-}
+}

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-services/agents/breadcrumb/toc.yml renamed to 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-services/agents/concepts/agent-catalog.md renamed to articles/ai-foundry/agents/concepts/agent-catalog.md

@@ -15,14 +15,12 @@ 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.
-
-[!INCLUDE [feature-preview](../../../ai-foundry/includes/feature-preview.md)]
+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
 
 - [Azure subscription](https://azure.microsoft.com/free)
-- An [Azure AI Foundry project](../../../ai-foundry/how-to/create-projects.md).
+- An [Azure AI Foundry project](../../how-to\create-projects.md).
 
 ## Find the Agent Catalog in the Azure AI Foundry portal
 
@@ -31,7 +29,7 @@ With agents you create using these code samples, be sure to assess safety and le
 1. On the left pane, select **Agents**.
 1. Near the top of the screen, select **Catalog**. Find the code sample you want to use.
 
-    :::image type="content" source="../media/agent-catalog.png" alt-text="A screenshot of the model catalog." lightbox="../media/agent-catalog.png":::
+    :::image type="content" source="../media\agent-catalog.png" alt-text="A screenshot of the model catalog." lightbox="../media\agent-catalog.png":::
 
 1. Select **Open in Github** to view the entire sample application.
 

articles/ai-services/agents/concepts/model-region-support.md renamed to articles/ai-foundry/agents/concepts/model-region-support.md

@@ -22,13 +22,13 @@ Azure OpenAI provides customers with choices on the hosting structure that fits
 - **Standard** is offered with a global deployment option, routing traffic globally to provide higher throughput.
 - **Provisioned** is also offered with a global deployment option, allowing customers to purchase and deploy provisioned throughput units across Azure global infrastructure.
 
-All deployments can perform the exact same inference operations, however the billing, scale, and performance are substantially different. To learn more about Azure OpenAI deployment types see [deployment types guide](../../openai/how-to/deployment-types.md).
+All deployments can perform the exact same inference operations, however the billing, scale, and performance are substantially different. To learn more about Azure OpenAI deployment types see [deployment types guide](../../../ai-services/openai/how-to/deployment-types.md).
 
 Azure AI Foundry Agent Service supports the following Azure OpenAI models in the listed regions.
 
 > [!NOTE]
-> * The following table is for standard deployment availability. For information on Provisioned Throughput Unit (PTU) availability, see [provisioned throughput](../../openai/concepts/provisioned-throughput.md) in the Azure OpenAI documentation. `GlobalStandard` customers also have access to [global standard models](../../openai/concepts/models.md#global-standard-model-availability). 
-> * [Hub based projects](../../../ai-foundry/what-is-azure-ai-foundry.md#project-types) are limited to the following models: gpt-4o, gpt-4o-mini, gpt-4, gpt-35-turbo
+> * The following table is for serverless API deployment availability. For information on Provisioned Throughput Unit (PTU) availability, see [provisioned throughput](../../../ai-services/openai/concepts/provisioned-throughput.md) in the Azure OpenAI documentation. `GlobalStandard` customers also have access to [global standard models](../../../ai-services/openai/concepts/models.md#global-standard-model-availability). 
+> * [Hub based projects](../../what-is-azure-ai-foundry.md#project-types) are limited to the following models: gpt-4o, gpt-4o-mini, gpt-4, gpt-35-turbo
 
 | REGION           | o1 | o3-mini | gpt-4.1, 2025-04-14 | gpt-4.1-mini, 2025-04-14 | gpt-4.1-nano, 2025-04-14 | gpt-4o, 2024-05-13 | gpt-4o, 2024-08-06 | gpt-4o, 2024-11-20 | gpt-4o-mini, 2024-07-18 | gpt-4, 0613 | gpt-4, turbo-2024-04-09 | gpt-4-32k, 0613 | gpt-35-turbo, 1106 | gpt-35-turbo, 0125 |
 |------------------|----|---------|---------------------|--------------------------|--------------------------|--------------------|--------------------|--------------------|-------------------------|-------------|-------------------------|-----------------|--------------------|--------------------|

articles/ai-services/agents/concepts/standard-agent-setup.md renamed to articles/ai-foundry/agents/concepts/standard-agent-setup.md

@@ -27,18 +27,17 @@ Both standard setup configurations are designed to give you complete control ove
 
 By bundling these BYO features (file storage, search, and thread storage), the standard setup guarantees that your deployment is secure by default. All data processed by Azure AI Foundry Agent Service is automatically stored at rest in your own Azure resources, helping you meet internal policies, compliance requirements, and enterprise security standards. 
 
-## Project-Level Data Isolation
+### Azure Cosmos DB for NoSQL
+
+Your existing Azure Cosmos DB for NoSQL Account used in standard setup must have a total throughput limit of at least **3000 RU/s**. Both **Provisioned Throughput** and **Serverless** modes are supported.
 
-Azure AI Foundry enforces project-level data isolation by default. When you configure your own resources in the project capability host: 
-* **Azure Storage**: Two Blob containers are automatically provisioned: 
-    * One for uploaded files 
-    * One for intermediate system data (for example, chunks, embeddings) 
-* **Azure Cosmos DB**: Three containers are provisioned under a dedicated enterprise_memory database: 
-    * thread-message-store: End-user conversations 
-    * system-thread-message-store: Internal system messages 
-    * agent-entity-store: Model inputs and outputs 
+When you use standard setup, **three containers** will be provisioned in your existing Cosmos DB account, and **each container requires 1000 RU/s**.
+* thread-message-store: End-user conversations
+* system-thread-message-store: Internal system messages
+* agent-entity-store: Agent metadata including their instructions, tools, name, etc.
 
-This default behavior was chosen to reduce configuration complexity while still enforcing strict data boundaries—ensuring each project has a clean, isolated storage footprint without requiring manual setup. 
+## Project-Level Data Isolation
+Standard setup enforces project-level data isolation by default. Two blob storage containers will automatically be provisioned in your storage account, one for files and one for intermediate system data (chunks, embeddings) and three containers will be provisioned in your Cosmos DB, one for user systems, one for system messages, and one for user inputs related to created agents such as their instructions, tools, name, etc. This default behavior was chosen to reduce setup complexity while still enforcing strict data boundaries between projects.
 
 ## Capability hosts
 **Capability hosts** are sub-resources on both the Account and Project, enabling interaction with the Azure AI Foundry Agent Service. 
@@ -85,4 +84,4 @@ This default behavior was chosen to reduce configuration complexity while still
         * Assign role: Cosmos DB Built-in Data Contributor 
     * Cosmos DB for NoSQL container: `<'${projectWorkspaceId}>-agent-entity-store'` 
         * Assign role: Cosmos DB Built-in Data Contributor 
-11. Once all resources are provisioned, all developers who want to create/edit agents in the project should be assigned the role: Azure AI User on the project scope. 
+11. Once all resources are provisioned, all developers who want to create/edit agents in the project should be assigned the role: Azure AI User on the project scope.

articles/ai-services/agents/concepts/threads-runs-messages.md renamed to articles/ai-foundry/agents/concepts/threads-runs-messages.md

@@ -26,7 +26,7 @@ When you use an Agent, there are a series of steps that are involved.
 - **Check the run status:** Monitor the run until it has completed. 
 - **Getting the response:** After the agent has created a response, display it to the user.
 
-:::image type="content" source="../media/run-thread-model.png" alt-text="A diagram showing an example of an agent run." lightbox="../media/run-thread-model.png":::
+:::image type="content" source="../media\run-thread-model.png" alt-text="A diagram showing an example of an agent run." lightbox="../media\run-thread-model.png":::
 
 ## Agent
 
@@ -46,4 +46,4 @@ A run involves invoking the agent on the thread, where it processes the messages
 
 ## Next steps
 
-* [Quickstart: create an agent](../quickstart.md)
+* [Quickstart: create an agent](../quickstart.md)