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

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title: Supported models in Azure AI Foundry Agent Service
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titleSuffix: Azure AI Foundry
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description: Learn about the models you can use with Azure AI Foundry Agent Service.
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- **Standard** is offered with a global deployment option, routing traffic globally to provide higher throughput.
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- **Provisioned** is also offered with a global deployment option, allowing customers to purchase and deploy provisioned throughput units across Azure global infrastructure.
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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).
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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).
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Azure AI Foundry Agent Service supports the following Azure OpenAI models in the listed regions.
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> [!NOTE]
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> * 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).
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> * The following table is for serverless API 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).
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> * [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
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| 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-foundry/agents/faq.yml

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title: Azure AI Foundry Agent Service frequently asked questions

articles/ai-foundry/agents/how-to/tools/azure-ai-search-samples.md

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articles/ai-foundry/agents/how-to/tools/azure-ai-search.md

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articles/ai-foundry/agents/how-to/tools/code-interpreter-samples.md

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articles/ai-foundry/agents/how-to/tools/code-interpreter.md

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articles/ai-foundry/agents/how-to/tools/function-calling.md

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Azure AI Agents supports function calling, which allows you to describe the structure of functions to an agent and then return the functions that need to be called along with their arguments.
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> [!NOTE]
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> Runs expire ten minutes after creation. Be sure to submit your tool outputs before the expiration.
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> Runs expire 10 minutes after creation. Be sure to submit your tool outputs before the expiration.
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### Usage support
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articles/ai-foundry/agents/how-to/tools/logic-apps.md

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## Prerequisites
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1. Create a Logic App within the same resource group as your Azure AI Project in the Azure portal.
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1. Configure your Logic App to send emails by including an HTTP request trigger that accepts JSON with `to`, `subject`, and `body`. See the [Logic App Workflow guide](../../../../ai-services/openai/how-to/assistants-logic-apps.md) for more information.
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1. Configure your Logic App to send emails by including an HTTP request trigger that accepts JSON with `to`, `subject`, and `body`. See the [Logic App Workflow guide](../../../openai/how-to/assistants-logic-apps.md) for more information.
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1. Set the following environment variables:
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- `PROJECT_ENDPOINT`: The Azure AI Agents endpoint.
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- `MODEL_DEPLOYMENT_NAME`: The deployment name of the AI model.

articles/ai-foundry/agents/how-to/tools/openapi-spec.md

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1. Go to the [Azure AI Foundry portal](https://ai.azure.com/?cid=learnDocs) and select the AI Project. Click **connected resources**.
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1. Go to the [Azure AI Foundry portal](https://ai.azure.com/?cid=learnDocs) and select the AI Project. Select **connected resources**.
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:::image type="content" source="../../media\tools\bing\project-settings-button.png" alt-text="A screenshot of the settings button for an AI project." lightbox="../../media\tools\bing\project-settings-button.png":::
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1. Once the setup is done, you can continue by using the tool through the Foundry Portal, SDK, or REST API. Use the tabs at the top of this article to see code samples.
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1. Once the setup is done, you can continue by using the tool through the Azure AI Foundry portal, SDK, or REST API. Use the tabs at the top of this article to see code samples.

articles/ai-foundry/agents/how-to/triggers.md

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