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Merge pull request #4124 from eric-urban/eur/release-openai-audio-models-resolve-conflicts-april14
[DIRTY PR] release openai audio models resolve conflicts april14
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‎articles/ai-foundry/.openpublishing.redirection.ai-studio.json

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},
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{
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"source_path_from_root": "/articles/ai-studio/ai-services/how-to/connect-ai-services.md",
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"redirect_url": "/azure/ai-foundry/ai-services/how-to/connect-ai-services",
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"redirect_document_id": true
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"redirect_url": "/azure/ai-services/connect-services-ai-foundry-portal",
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"redirect_document_id": false
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"source_path_from_root": "/articles/ai-studio/how-to/models-foundation-azure-ai.md",
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"redirect_url": "/azure/ai-studio/ai-services/how-to/connect-ai-services",
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"redirect_url": "/azure/ai-services/connect-services-ai-foundry-portal",
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"redirect_document_id": true
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{
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},
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{
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"source_path_from_root": "/articles/ai-studio/ai-services/get-started.md",
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"redirect_url": "/azure/ai-studio/ai-services/how-to/connect-ai-services",
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"redirect_url": "/azure/ai-services/connect-services-ai-foundry-portal",
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"redirect_document_id": false
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{
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"source_path_from_root": "/articles/ai-studio/ai-services/where-to-use-ai-services.md",
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"redirect_url": "/azure/ai-studio/ai-services/how-to/connect-ai-services",
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"redirect_url": "/azure/ai-services/connect-services-ai-foundry-portal",
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{
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"source_path_from_root": "/articles/ai-studio/ai-services/connect-ai-services.md",
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"redirect_url": "/azure/ai-studio/ai-services/how-to/connect-ai-services",
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"redirect_url": "/azure/ai-services/connect-services-ai-foundry-portal",
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"source_path_from_root": "/articles/ai-foundry/how-to/prompt-flow.md",
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"redirect_url": "/azure/ai-foundry/concepts/prompt-flow",
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"redirect_document_id": true
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},
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{
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"source_path_from_root": "/articles/ai-foundry/ai-services/how-to/connect-ai-services.md",
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"redirect_url": "/azure/ai-services/connect-services-ai-foundry-portal",
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"redirect_document_id": false
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]
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‎articles/ai-foundry/how-to/develop/connections-add-sdk.md

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## Azure AI services
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The following example creates an Azure AI services connection. This example creates one connection for the AI services documented in the [Connect to Azure AI services](../../ai-services/how-to/connect-ai-services.md) article. The same connection also supports the Azure OpenAI service.
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The following example creates an Azure AI services connection. This example creates one connection for the AI services documented in the [Connect to Azure AI services](../../../ai-services/connect-services-ai-foundry-portal.md) article. The same connection also supports the Azure OpenAI service.
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```python
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from azure.ai.ml.entities import AzureAIServicesConnection, ApiKeyConfiguration

‎articles/ai-foundry/how-to/model-catalog-overview.md

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## Related content
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* [Explore foundation models in Azure AI Foundry portal](../ai-services/how-to/connect-ai-services.md)
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* [Explore foundation models in Azure AI Foundry portal](../../ai-services/connect-services-ai-foundry-portal.md)
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* [Model deprecation and retirement in Azure AI model catalog](../concepts/model-lifecycle-retirement.md)

‎articles/ai-foundry/model-inference/includes/create-model-deployments/cli.md

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```azurecli
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accountName="<ai-services-resource-name>"
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resourceGroupName="<resource-group>"
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location="eastus2"
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```
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3. If you don't have an Azure AI Services account create yet, you can create one as follows:
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```azurecli
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az cognitiveservices account create -n $accountName -g $resourceGroupName --custom-domain $accountName
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az cognitiveservices account create -n $accountName -g $resourceGroupName --custom-domain $accountName --location $location --kind AIServices --sku S0
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```
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4. Let's see first which models are available to you and under which SKU. The following command list all the model definitions available:
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4. Let's see first which models are available to you and under which SKU. SKUs, also known as [deployment types](../../concepts/deployment-types.md), define how Azure infrastructure is used to process requests. Models may offer different deployment types. The following command list all the model definitions available:
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```
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6. Identify the model you want to deploy. You need the properties `name`, `format`, `version`, and `sku`. Capacity might also be needed depending on the type of deployment.
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> [!TIP]
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> Notice that not all the models are available in all the SKUs.
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6. Identify the model you want to deploy. You need the properties `name`, `format`, `version`, and `sku`. The property `format` indicates the provider offering the model. Capacity might also be needed depending on the type of deployment.
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7. Add the model deployment to the resource. The following example adds `Phi-3.5-vision-instruct`:
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‎articles/ai-foundry/toc.yml

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- name: Use Azure OpenAI Service in Azure AI Foundry portal
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href: ai-services/how-to/connect-azure-openai.md
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- name: Use Azure AI services in Azure AI Foundry portal
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href: ai-services/how-to/connect-ai-services.md
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displayName: cognitive,task
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href: ../ai-services/connect-services-ai-foundry-portal.md?context=/azure/ai-foundry/context/context
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displayName: cognitive,task,speech,vision,language,translator,document,intelligence,content,understanding,safety
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- name: What are Azure AI services?
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- name: Azure OpenAI

‎articles/ai-services/agents/how-to/use-your-own-resources.md

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To use your own resources, you can edit the parameters in the provided deployment templates. To start, determine if you want to edit the [basic agent setup template](https://github.com/Azure-Samples/azureai-samples/tree/main/scenarios/Agents/setup/basic-agent-identity), or the [standard agent setup template](https://github.com/Azure-Samples/azureai-samples/tree/main/scenarios/Agents/setup/standard-agent).
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**Basic Setup**: Agents use multitenant search and storage resources fully managed by Microsoft. You don't have visibility or control over these underlying Azure resources. You can only use your own AI services account with this option.
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**Basic Setup**: Agents created in a basic project use multitenant search and storage resources fully managed by Microsoft. You don't have visibility or control over these underlying Azure resources. You can only use your own AI services account with this option.
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**Standard Setup**: Agents use customer-owned, single-tenant search and storage resources. With this setup, you have full control and visibility over these resources, but you incur costs based on your usage. You can use your own AI services account, storage account, and/or Azure AI Search resource with this option.
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**Standard Setup**: Agents created in a standard project use customer-owned, single-tenant search and storage resources. With this setup, you have full control and visibility over these resources, but you incur costs based on your usage. You can use your own AI services account, Azure Storage account, Cosmos DB for NoSQL account and/or Azure AI Search resource with this option.
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## Basic agent setup: use an existing AI Services/Azure OpenAI resource
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## Basic agent setup: Use an existing AI Services/Azure OpenAI resource
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If you want to use an existing Azure OpenAI resource, you will need to update the `aiServiceAccountResourceId` and the `aiServiceKind` parameters in the parameter file. The aiServiceKind parameter should be set to AzureOpenAI.
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## Standard agent setup: use an existing AI Services/Azure OpenAI, storage, and/or Azure AI Search resource
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## Standard agent setup: Use an existing AI Services/Azure OpenAI, Azure Storage account, Azure Cosmos DB for NoSQL account, and/or Azure AI Search resource
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Use an existing AI Search, storage account, and/or Azure AI Search resource by providing the full arm resource ID in the standard agent template file.
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Use an existing AI Services / Azure OpenAI, Azure Storage account, Azure Cosmos DB for NoSQL account and/or Azure AI Search resource by providing the full ARM resource ID in the standard agent template file.
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### Use an existing AI Services or Azure OpenAI resource
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Use an existing AI Services or Azure OpenAI resource:
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### Use an existing Azure Storage account for file storage
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### Use an existing Azure Cosmos DB for NoSQL account for thread storage
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```console
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az login
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az cosmosdb show --resource-group <your-resource-group> --name <your-comosdb-account> --query "id" --output tsv
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```
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The output is the `cosmosDBResourceId` you need to use in the template.
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`cosmosDBResourceId:/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DocumentDB/databaseAccounts/{cosmosDbAccountName}`
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‎articles/ai-services/agents/includes/bicep-setup.md

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| Description and Autodeploy | Diagram (click to zoom in) |
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| -----------------------------------------------| -----------------------|
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| Deploy a basic agent setup that uses Managed Identity for authentication. Resources for the AI hub, AI project, storage account, and AI Services are created for you. <br><br> The AI Services account is connected to your project and hub, and a gpt-4o-mini model is deployed in the eastus region. A Microsoft-managed key vault is used by default. <br><br> [![Deploy To Azure](https://aka.ms/deploytoazurebutton)](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FAzure-Samples%2Fazureai-samples%2Fmain%2Fscenarios%2FAgents%2Fsetup%2Fbasic-agent-identity%2Fazuredeploy.json) | :::image type="content" source="../media/quickstart/basic-agent-setup-resources.png" alt-text="An architecture diagram for basic agent setup." lightbox="../media/quickstart/basic-agent-setup-resources.png"::: |
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| Deploy a standard agent setup that uses Managed Identity for authentication. <br><br> Resources for the AI hub, AI project, key vault, storage account, AI Services, and AI Search are created for you. <br><br>The AI Services, AI Search, key vault, and storage account are connected to your project and hub. A gpt-4o-mini model is deployed in eastus region. <br><br> [![Deploy To Azure](https://aka.ms/deploytoazurebutton)](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FAzure-Samples%2Fazureai-samples%2Fmain%2Fscenarios%2FAgents%2Fsetup%2Fstandard-agent%2Fazuredeploy.json) | :::image type="content" source="../media/quickstart/standard-agent-setup-resources.png" alt-text="An architecture diagram for standard agent setup." lightbox="../media/quickstart/standard-agent-setup-resources.png"::: |
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| Deploy a standard agent setup that uses Managed Identity for authentication. <br><br> Resources for the AI hub, AI project, key vault, storage account, AI Services, and AI Search are created for you. <br><br>The AI Services, AI Search, key vault, and storage account are connected to your project and hub. A gpt-4o-mini model is deployed in eastus region. <br><br> [![Deploy To Azure](https://aka.ms/deploytoazurebutton)](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FAzure-Samples%2Fazureai-samples%2Fmain%2Fscenarios%2FAgents%2Fsetup%2Fstandard-agent-with-threadstorage%2Fazuredeploy.json) | :::image type="content" source="../media/quickstart/standard-agent-setup-resources.png" alt-text="An architecture diagram for standard agent setup." lightbox="../media/quickstart/standard-agent-setup-resources.png"::: |
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| modelName | gpt-4o |
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| modelVersion | 2024-11-20 |
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Resources for the AI hub, AI project, key vault, storage account, AI Services, and AI Search are created for you. The AI Services, AI Search, key vault, and storage account are connected to your project and hub. A gpt-4o-mini model is deployed in eastus region using the Azure OpenAI endpoint for your resource.
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-->

‎articles/ai-services/agents/includes/portal-agent-limitation.md

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ms.date: 04/13/2025
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> [!NOTE]
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> You can use the following automated bicep templates to perform either a standard or basic agent. You can also create a basic agent using the [Azure AI Foundry portal](../quickstart.md?pivots=ai-foundry). Azure AI Foundry currently doesn't support the standard agent setup.
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> The Standard Agent Setup now supports **Bring your own (BYO) Thread Storage using an Azure Cosmos DB for NoSQL account**. This feature lets you store all messages and conversation history in your own Azure Cosmos DB for NoSQL account.
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> You can use the following automated bicep templates to deploy either a Standard or Basic agent project. You can also create a basic project using the [Azure AI Foundry portal](../quickstart.md?pivots=ai-foundry). The Azure AI Foundry portal currently doesn't support creating a Standard project.

‎articles/ai-services/agents/whats-new.md

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This article provides a summary of the latest releases and major documentation updates for Azure AI Agent Service.
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## April 2025
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### BYO thread storage
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The Standard Agent Setup now supports **Bring Your Own (BYO) thread storage using an Azure Cosmos DB for NoSQL account**. This feature ensures all thread messages and conversation history are stored in your own resources. See the [Quickstart](./quickstart.md) for more information on how to deploy a Standard agent project.
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## March 2025
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### Microsoft Fabric tool

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