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‎articles/ai-foundry/how-to/develop/ai-template-get-started.md

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ms.custom:
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ms.topic: how-to
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ms.date: 05/05/2025
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ms.date: 07/01/2025
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ms.reviewer: varundua
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author: sdgilley
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#customer intent: As a developer, I want to jump start my journey with an AI template.
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---
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# Get started with an AI template (Preview)
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# Get started with an AI template
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Streamline your code-first development with prebuilt, task-specific Azure AI templates. Benefit from using the latest features and best practices from Microsoft Azure AI, with popular frameworks like LangChain, prompt flow, and Semantic Kernel in multiple languages.
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* [Get started with AI agents](https://github.com/Azure-Samples/get-started-with-ai-agents)
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* [Unlock insights from conversational data](https://github.com/microsoft/Conversation-Knowledge-Mining-Solution-Accelerator)
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[!INCLUDE [feature-preview](../../includes/feature-preview.md)]
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## Prerequisites
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- [Azure subscription](https://azure.microsoft.com/free)
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- An [Azure AI Foundry project](../create-projects.md).
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- Either a [!INCLUDE [fdp-project-name](../../includes/fdp-project-name.md)](../create-projects.md?pivots=fdp-project) or a [!INCLUDE [hub-project-name](../../includes/hub-project-name.md)](../create-projects.md?pivots=hub-project).
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## Start with a sample application
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‎articles/ai-foundry/how-to/develop/sdk-overview.md

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ms.topic: how-to
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ms.date: 05/07/2025
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ms.date: 07/01/2025
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author: sdgilley
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az login
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```
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## Unified Projects client library
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The Azure AI Foundry Projects client library is a unified library that enables you to use multiple client libraries together by connecting to a single project endpoint.
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.buildClient();
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```
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::: zone-end
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::: zone pivot="programming-language-javascript"

‎articles/ai-foundry/includes/deploy-model.md

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1. Sign in to [Azure AI Foundry](https://ai.azure.com/?cid=learnDocs).
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1. Studio remembers where you were last, so what you do next depends on where you are:
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* If you're new to Azure AI Foundry, select **Create an agent**. Add a name for your project and select **Create**.
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* If you see a list of projects, select the one you want to use. You can use either a [!INCLUDE [hub-project-name](hub-project-name.md)] or a [!INCLUDE [fdp-project-name](fdp-project-name.md)].
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* If you're already in a project and want to use a new one, select **Azure AI Foundry** in the top left corner, then select **Create new** to create the new project.
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* If you're new to Azure AI Foundry and don't have any projects, use [Quickstart: Get started with Azure AI Foundry](../quickstarts/get-started-code.md) instead of this article.
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1. Select **Model catalog** from the left pane.
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‎articles/ai-services/openai/concepts/models.md

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| Model | Region |
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|---|---|
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|`dall-e-3` | East US<br>Australia East<br>Sweden Central|
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|`gpt-image-1` | West US 3 (Global Standard) <br> UAE North (Global Standard) |
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|`gpt-image-1` | West US 3 (Global Standard) <br> UAE North (Global Standard) <br> Poland Central (Global Standard)|
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## Video generation models

‎articles/ai-services/openai/how-to/dall-e.md

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## Call the Image Edit API
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The Image Edit API allows you to modify existing images based on text prompts you provide. The API call is similar to the image generation API call, but you also need to provide an input image (base64-encoded image data).
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The Image Edit API allows you to modify existing images based on text prompts you provide. The API call is similar to the image generation API call, but you also need to provide an input image.
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> [!IMPORTANT]
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> The input image must be less than 20 MB in size and must be a PNG or JPG file.

‎articles/ai-services/openai/includes/model-matrix/standard-global.md

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‎articles/ai-services/speech-service/voice-live.md

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Tokens are the units that generative AI models use to process input and generate output. 
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You can estimate the cost with Voice Live API based on audio length as follows:
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- Each second of input audio is approximately 10 tokens.
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- Each second of output audio is approximately 20 tokens.
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You can estimate token usage for different model families with the Voice Live API based on audio length. The following token calculations apply to each model family:
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| Model family | Input audio (tokens per second) | Output audio (tokens per second) |
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| ----- | ----- | ----- |
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| Azure OpenAI models | ~10 tokens | ~20 tokens |
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| Phi models | ~12.5 tokens | ~20 tokens |
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You're also charged for cached audio and text inputs, including the prompt and the context of the conversations.
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‎articles/search/search-indexer-howto-access-private.md

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# Make outbound connections through a shared private link
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Azure AI Search makes outbound calls to other Azure resources in the following scenarios:
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+ Knowledge agent connections to Azure OpenAI for agentic retrieval workflows
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+ Indexer or query connections to Azure OpenAI, Azure AI Vision, or the Azure AI Foundry model catalog for vectorization
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+ Indexer connections to supported data sources
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+ Indexer (skillset) connections to Azure Storage for caching enrichments, debug session sate, or writing to a knowledge store
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+ Indexer (skillset) connections to Azure AI services for billing purposes
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+ Encryption key requests to Azure Key Vault
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+ Custom skill requests to Azure Functions or similar resource
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Shared private links only work for Azure-to-Azure connections. If you're connecting to OpenAI or another external model, the connection must be over the public internet.
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Shared private links only work for Azure-to-Azure connections. If you're connecting to OpenAI or another external model provider, the connection must be over the public internet.
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Shared private links are for operations and data accessed through a [private endpoint](/azure/private-link/private-endpoint-overview) for Azure resources or clients that run in an Azure virtual network.
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There are two scenarios for using [Azure Private Link](/azure/private-link/private-link-overview) and Azure AI Search together.
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+ Scenario one: create a shared private link when an *outbound* (indexer) connection to Azure requires a private connection.
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+ Scenario one: create a shared private link when an *outbound* (indexer or knowledge agent) connection to Azure requires a private connection.
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+ Scenario two: [configure search for a private *inbound* connection](service-create-private-endpoint.md) from clients that run in a virtual network.
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| Indexers without skillsets | Basic and higher | None | None |
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| Skillsets with embedding skills ([integrated vectorization](vector-search-integrated-vectorization.md)) | Basic and higher | [High capacity regions](search-limits-quotas-capacity.md#partition-storage-gb) | [After April 3, 2024](search-how-to-upgrade.md#check-your-service-creation-or-upgrade-date) |
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| Skillsets using other [built-in](cognitive-search-predefined-skills.md) or custom skills | Standard 1 (S1) and higher | None | [After April 3, 2024](search-how-to-upgrade.md#check-your-service-creation-or-upgrade-date) |
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| Knowledge agents calling Azure OpenAI for query planning or passing search results | Basic and higher | None | None |
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+ Permissions on both Azure AI Search and the Azure resource:
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