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Copy file name to clipboardExpand all lines: articles/ai-foundry/how-to/develop/get-started-projects-vs-code.md
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---
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title: Work with the Azure AI Foundry for Visual Studio Code extension
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titleSuffix: Azure AI Foundry
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description: Use this article to learn how to deploy Large Language Models using Azure AI Foundry capabilities directly in VS Code.
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description: Use this article to learn how to create projects and deploy Large Language Models using Azure AI Foundry capabilities directly in VS Code.
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manager: mcleans
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ms.service: azure-ai-foundry
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content_well_notification:
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- AI-contribution
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ai-usage: ai-assisted
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ms.topic: how-to
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ms.date: 05/07/2025
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ms.date: 05/20/2025
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ms.reviewer: erichen
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ms.author: johalexander
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author: ms-johnalex
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# customer intent: As an AI app developer, I want to learn how to use the Azure AI Foundry for Visual Studio Code extension so that I can deploy Large Language Models using Azure AI Foundry capabilities directly in VS Code.
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# customer intent: As an AI app developer, I want to learn how to use the Azure AI Foundry for Visual Studio Code extension so that I can create projects and deploy Large Language Models using Azure AI Foundry capabilities directly in VS Code.
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---
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# Work with the Azure AI Foundry for Visual Studio Code extension (Preview)
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- Download, install, and configure Visual Studio Code. More information: [Download Visual Studio Code](https://code.visualstudio.com/Download)
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-[An existing Azure AI Foundry project](/azure/ai-foundry/how-to/create-projects?tabs=ai-studio). The extension interacts with Azure AI Foundry at the project level.
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- Your subscription needs to be below your [quota limit](../quota.md) to [deploy a new model in this quickstart](#deploy-a-model-from-the-model-catalog). Otherwise you already need to have a [deployed chat model](../deploy-models-openai.md).
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## Installation
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-**Model Playground**: The link to the model playground for interacting with your deployed models in your Azure AI Foundry project.
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-**Agent Playground**: The link to the agent playground for interacting with your deployed agents in your Azure AI Foundry project.
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-**Help and Feedback**: This section contains links to the Azure AI Foundry documentation, feedback, and support. It contains the following subsections:
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-**Help and Feedback**: This section contains links to the Azure AI Foundry documentation, feedback, support, and the Microsoft Privacy Statement. It contains the following subsections:
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-**Documentation**: The link to the Azure AI Foundry Extension documentation.
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-**GitHub**: The link to the Azure AI Foundry extension GitHub repository.
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-**Microsoft Privacy Statement**: The link to the Microsoft Privacy Statement.
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>[!NOTE]
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> To learn more about working with Agents and Threads in the Azure AI Foundry Extension, see the [Work with Azure AI Foundry Agent Service in Visual Studio Code](./vs-code-agents.md) article.
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## Create a project
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You can create a new Azure AI Foundry project from the Azure AI Foundry Extension view with the following steps:
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1. Select the **plus** icon next to **Resources** in the **Resources** section of the Azure AI Foundry Extension view.
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1. In the top center, enter the Azure AI Foundry Project name to use in the **Enter project name** textbox and press Enter.
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:::image type="content" source="../../media/how-to/get-started-projects-vs-code/enter-project-name.png" alt-text="Screenshot of the Enter project name textbox." lightbox="../../media/how-to/get-started-projects-vs-code/enter-project-name.png":::
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You can either create a new resource group or select an existing one.
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- To create a new resource group:
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1. In the top center, select **Create new resource group** and press Enter.
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:::image type="content" source="../../media/how-to/get-started-projects-vs-code/select-resource-group.png" alt-text="Screenshot of the Choose resource group dropdown with the Create new resource group item highlighted." lightbox="../../media/how-to/get-started-projects-vs-code/select-resource-group.png":::
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1. In the top center, enter the Azure Resource Group name to use in the **Enter new resource group** textbox and press Enter.
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1. In the top center, select the location you want to use from the list of available locations and press Enter.
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- To use an existing resource group:
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1. In the top center, select the resource group you want to use from the list of available resource groups and press Enter.
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After project deployment, a popup appears with the message **Project deployed successfully**.
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:::image type="content" source="../../media/how-to/get-started-projects-vs-code/project-deployed.png" alt-text="A screenshot of the Project deployed successfully popup with the Deploy a model button highlighted." lightbox="../../media/how-to/get-started-projects-vs-code/project-deployed.png":::
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To deploy a model to the newly created project, select the **Deploy a model** button in the popup.
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This action opens the **Model Catalog** page in the Azure AI Foundry Extension view to select the desired model to [deploy.](#deploy-a-model-from-the-model-catalog)
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### The default Azure AI Foundry Project
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When you open a project in the Azure AI Foundry Extension, that project is set as your default project.
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:::image type="content" source="../../media/how-to/get-started-projects-vs-code/default-project.png" alt-text="A screenshot of the designated default project." lightbox="../../media/how-to/get-started-projects-vs-code/default-project.png":::
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## Work with models
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The Azure AI Foundry for Visual Studio Code extension enables you to create, interact with, and deploy Large Language Models from within Visual Studio Code.
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1. In the top center, select the AI service to use in the **Choose an AI service** dropdown and press Enter.
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:::image type="content" source="../../media/how-to/get-started-projects-vs-code/choose-ai-service.png" alt-text="Screenshot of the Chosen AI service dropdown." lightbox="../../media/how-to/get-started-projects-vs-code/choose-ai-service.png":::
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:::image type="content" source="../../media/how-to/get-started-projects-vs-code/choose-ai-service.png" alt-text="Screenshot of the Choose an AI service dropdown." lightbox="../../media/how-to/get-started-projects-vs-code/choose-ai-service.png":::
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1. In the top center, select the model version to use in the **Choose model version** dropdown and press Enter.
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