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articles/ai-services/anomaly-detector/includes/quickstarts/anomaly-detector-client-library-csharp-multivariate.md

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Create and assign persistent environment variables for 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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# [Command Line](#tab/command-line)
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articles/ai-services/anomaly-detector/includes/quickstarts/anomaly-detector-client-library-csharp.md

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Create and assign persistent environment variables for 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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# [Command Line](#tab/command-line)
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articles/ai-services/anomaly-detector/includes/quickstarts/anomaly-detector-client-library-java-multivariate.md

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String endpoint = "YOUR_ENDPOINT";
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```
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> [!IMPORTANT]
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> Remember to remove the key from your code when you're done, and never post it publicly. For production, use a secure way of storing and accessing your credentials like [Azure Key Vault](/azure/key-vault/general/overview). See the Azure AI services [security](../../../security-features.md) article for more information.
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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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To use the Anomaly Detector multivariate APIs, you need to first train your own models. Training data is a set of multiple time series that meet the following requirements:
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articles/ai-services/anomaly-detector/includes/quickstarts/anomaly-detector-client-library-javascript-multivariate.md

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* Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services)
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* The current version of [Node.js](https://nodejs.org/)
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* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesAnomalyDetector" title="Create an Anomaly Detector resource" target="_blank">create an Anomaly Detector resource </a> in the Azure portal to get your key and endpoint. Wait for it to deploy and select the **Go to resource** button.
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* You'll need the key and endpoint from the resource you create to connect your application to the Anomaly Detector API. You'll paste your key and endpoint into the code below later in the quickstart.
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* You need the key and endpoint from the resource you create to connect your application to the Anomaly Detector API. You paste your key and endpoint into the code below later in the quickstart.
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You can use the free pricing tier (`F0`) to try the service, and upgrade later to a paid tier for production.
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## Setting up
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Create variables your resource's Azure endpoint and key. Create another variable for the example data file.
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> [!NOTE]
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> You will always have the option of using one of two keys. This is to allow secure key rotation. For the purposes of this quickstart use the first key.
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> You'll always have the option of using one of two keys. This is to allow secure key rotation. For the purposes of this quickstart, use the first key.
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```javascript
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const apiKey = "YOUR_API_KEY";
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const endpoint = "YOUR_ENDPOINT";
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const data_source = "YOUR_SAMPLE_ZIP_FILE_LOCATED_IN_AZURE_BLOB_STORAGE_WITH_SAS";
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```
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> [!IMPORTANT]
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> Remember to remove the key from your code when you're done, and never post it publicly. For production, use a secure way of storing and accessing your credentials like [Azure Key Vault](/azure/key-vault/general/overview). See the Azure AI services [security](../../../security-features.md) article for more information.
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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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To use the Anomaly Detector multivariate APIs, you need to first train your own models. Training data is a set of multiple time series that meet the following requirements:
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articles/ai-services/anomaly-detector/includes/quickstarts/anomaly-detector-client-library-javascript.md

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Create and assign persistent environment variables for 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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# [Command Line](#tab/command-line)
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articles/ai-services/anomaly-detector/includes/quickstarts/anomaly-detector-client-library-python-multivariate.md

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Create and assign persistent environment variables for 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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# [Command Line](#tab/command-line)
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articles/ai-services/anomaly-detector/includes/quickstarts/anomaly-detector-client-library-python.md

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Create and assign persistent environment variables for 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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# [Command Line](#tab/command-line)
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articles/ai-services/anomaly-detector/includes/quickstarts/anomaly-detector-rest-api.md

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Create and assign persistent environment variables for 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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# [Command Line](#tab/command-line)
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articles/ai-services/openai/assistants-quickstart.md

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ms.topic: quickstart
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author: aahill
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ms.author: aahi
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ms.date: 09/18/2024
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ms.date: 02/10/2025
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zone_pivot_groups: openai-quickstart-assistants
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recommendations: false
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---

articles/ai-services/openai/includes/assistants-ai-studio.md

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- build-2024
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ms.date: 02/10/2025
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ms.author: aahi
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---
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[Azure AI Foundry](https://ai.azure.com) lets you use Assistants v2 which provides several upgrades such as the [file search](../how-to/file-search.md) tool which is faster and supports more files.
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1. Sign in to [Azure AI Foundry](https://ai.azure.com).
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1. Go to your project or [create a new project](../../../ai-studio//how-to/create-projects.md) in Azure AI Foundry portal.
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1. From your project overview, select **Assistants**, located under **playgrounds**.
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1. If your screen doesn't look like the following screenshot, select **Azure AI Foundry** in the top left of the screen.
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1. Select **Let's go** in the Azure OpenAI Service card.
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:::image type="content" source="../media/assistants/foundry-openai-selectior.png" alt-text="A screenshot of the main page of the Azure AI Foundry." lightbox="../media/assistants/foundry-openai-selectior.png":::
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1. In the navigation menu on the left, select **Assistants**, located under **playgrounds**.
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:::image type="content" source="../media/quickstarts/assistants-ai-studio-playground.png" alt-text="Screenshot of the Assistant configuration screen without all the values filled in." lightbox="../media/quickstarts/assistants-ai-studio-playground.png":::
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The Assistants playground allows you to explore, prototype, and test AI Assistants without needing to run any code. From this page, you can quickly iterate and experiment with new ideas.
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| **Code interpreter** | Code interpreter provides access to a sandboxed Python environment that can be used to allow the model to test and execute code. |
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| **Files** | You can upload up to 10,000 files, with a max file size of 512 MB to use with tools. Not used in this quickstart. |
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:::image type="content" source="../media/quickstarts/assistants-ai-studio-playground.png" alt-text="Screenshot of the Assistant configuration screen without all the values filled in." lightbox="../media/quickstarts/assistants-ai-studio-playground.png":::
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## Create your first Assistant
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1. Select your deployment from the **Deployments** dropdown.

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