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articles/ai-services/cognitive-services-environment-variables.md

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This guide shows you how to set and retrieve environment variables for your Azure AI services credentials when you test applications.
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[!INCLUDE [Azure key vault](~/reusable-content/ce-skilling/azure/includes/ai-services/security/microsoft-entra-id-akv.md)]
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[!INCLUDE [Azure key vault](~/reusable-content/ce-skilling/azure/includes/ai-services/security/microsoft-entra-id-akv-expanded.md)]
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## Set an environment variable
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articles/ai-services/computer-vision/includes/how-to-guides/analyze-image-40-cpp.md

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To authenticate against the Image Analysis service, you need a Computer Vision key and endpoint URL.
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[!INCLUDE [Azure key vault](~/reusable-content/ce-skilling/azure/includes/ai-services/security/azure-key-vault.md)]
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[!INCLUDE [Azure key vault](~/reusable-content/ce-skilling/azure/includes/ai-services/security/microsoft-entra-id-akv-expanded.md)]
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The SDK example assumes that you defined the environment variables `VISION_KEY` and `VISION_ENDPOINT` with your key and endpoint.
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articles/ai-services/computer-vision/includes/how-to-guides/analyze-image-40-csharp.md

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To authenticate against the Image Analysis service, you need a Computer Vision key and endpoint URL. This guide assumes that you've defined the environment variables `VISION_KEY` and `VISION_ENDPOINT` with your key and endpoint.
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[!INCLUDE [Azure key vault](~/reusable-content/ce-skilling/azure/includes/ai-services/security/azure-key-vault.md)]
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[!INCLUDE [Azure key vault](~/reusable-content/ce-skilling/azure/includes/ai-services/security/microsoft-entra-id-akv-expanded.md)]
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Start by creating a [ImageAnalysisClient](/dotnet/api/azure.ai.vision.imageanalysis.imageanalysisclient) object. For example:
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articles/ai-services/computer-vision/includes/how-to-guides/analyze-image-40-java.md

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To authenticate with the Image Analysis service, you need a Computer Vision key and endpoint URL. This guide assumes that you've defined the environment variables `VISION_KEY` and `VISION_ENDPOINT` with your key and endpoint.
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[!INCLUDE [Azure key vault](~/reusable-content/ce-skilling/azure/includes/ai-services/security/azure-key-vault.md)]
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[!INCLUDE [Azure key vault](~/reusable-content/ce-skilling/azure/includes/ai-services/security/microsoft-entra-id-akv-expanded.md)]
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Start by creating an [ImageAnalysisClient](/java/api/com.azure.ai.vision.imageanalysis.imageanalysisclient) object. For example:
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articles/ai-services/computer-vision/includes/how-to-guides/analyze-image-40-js.md

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## Prerequisites
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This guide assumes you have followed the steps mentioned in the [quickstart](/azure/ai-services/computer-vision/quickstarts-sdk/image-analysis-client-library-40). This means:
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This guide assumes you followed the steps mentioned in the [quickstart](/azure/ai-services/computer-vision/quickstarts-sdk/image-analysis-client-library-40). This means:
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* You have <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesComputerVision" title="Created a Computer Vision resource" target="_blank">created a Computer Vision resource </a> and obtained a key and endpoint URL.
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* You have the appropriate SDK package installed and you have a running [quickstart](/azure/ai-services/computer-vision/quickstarts-sdk/image-analysis-client-library-40) application. You can modify this quickstart application based on the code examples here.
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## Create and authenticate the client
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To authenticate against the Image Analysis service, you need a Computer Vision key and endpoint URL. This guide assumes that you've defined the environment variables `VISION_KEY` and `VISION_ENDPOINT` with your key and endpoint.
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To authenticate against the Image Analysis service, you need a Computer Vision key and endpoint URL. This guide assumes that you defined the environment variables `VISION_KEY` and `VISION_ENDPOINT` with your key and endpoint.
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[!INCLUDE [Azure key vault](~/reusable-content/ce-skilling/azure/includes/ai-services/security/azure-key-vault.md)]
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[!INCLUDE [Azure key vault](~/reusable-content/ce-skilling/azure/includes/ai-services/security/microsoft-entra-id-akv-expanded.md)]
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Start by creating a **ImageAnalysisClient** object. For example:
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articles/ai-services/computer-vision/includes/how-to-guides/analyze-image-40-python.md

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To authenticate against the Image Analysis service, you need a Computer Vision key and endpoint URL. This guide assumes that you've defined the environment variables `VISION_KEY` and `VISION_ENDPOINT` with your key and endpoint.
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[!INCLUDE [Azure key vault](~/reusable-content/ce-skilling/azure/includes/ai-services/security/azure-key-vault.md)]
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[!INCLUDE [Azure key vault](~/reusable-content/ce-skilling/azure/includes/ai-services/security/microsoft-entra-id-akv-expanded.md)]
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Start by creating an [ImageAnalysisClient](/python/api/azure-ai-vision-imageanalysis/azure.ai.vision.imageanalysis.imageanalysisclient) object using one of the constructors. For example:
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articles/ai-services/computer-vision/includes/how-to-guides/analyze-image-40-rest.md

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To authenticate against the Image Analysis service, you need a Computer Vision key and endpoint URL.
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[!INCLUDE [Azure key vault](~/reusable-content/ce-skilling/azure/includes/ai-services/security/azure-key-vault.md)]
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[!INCLUDE [Azure key vault](~/reusable-content/ce-skilling/azure/includes/ai-services/security/microsoft-entra-id-akv-expanded.md)]
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The SDK example assumes that you defined the environment variables `VISION_KEY` and `VISION_ENDPOINT` with your key and endpoint.
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articles/ai-services/speech-service/includes/language-support/tts.md

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<sup>5</sup> The OpenAI text to speech voices in Azure AI Speech are in public preview and only available in North Central US (`northcentralus`) and Sweden Central (`swedencentral`). Locales not listed for OpenAI voices aren't supported. For information about additional differences between OpenAI text to speech voices and Azure AI Speech text to speech voices, see [OpenAI text to speech voices](../../openai-voices.md#openai-text-to-speech-voices-via-azure-openai-service-or-via-azure-ai-speech).
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<sup>6</sup> The `zh-CN-XiaoxiaoDialectsNeural` voice also supports the following secondary locales: `zh-CN-shaanxi`, `zh-CN-sichuan`, `zh-CN-shanxi`, `zh-CN-anhui`, `zh-CN-hunan`, `zh-CN-gansu`, `zh-CN-shandong`, `zh-CN-henan`, `zh-CN-liaoning`, `zh-TW`, `nan-CN`, `yue-CN`, and `wuu-CN`. To get the latest supported list of secondary locales, see [the voice list API reference](../../rest-text-to-speech.md#get-a-list-of-voices).
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<sup>6</sup> The `zh-CN-XiaoxiaoDialectsNeural` voice also supports the following secondary locales: `zh-CN-shaanxi`, `zh-CN-sichuan`, `zh-CN-shanxi`, `zh-CN-anhui`, `zh-CN-hunan`, `zh-CN-gansu`, `zh-CN-shandong`, `zh-CN-henan`, `zh-CN-liaoning`, `zh-TW`, `nan-CN`, `yue-CN`, and `wuu-CN`. To get the latest supported list of secondary locales, see [the voice list API reference](../../rest-text-to-speech.md#get-a-list-of-voices).

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