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articles/ai-foundry/how-to/develop/get-started-projects-vs-code.md

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---
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title: Get started with the Azure AI Foundry for Visual Studio Code extension
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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 and develop AI agents using Azure AI Foundry capabilities directly in VS Code.
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manager: scottpolly
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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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ms.topic: quickstart
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ms.date: 03/26/2025
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ms.topic: how-to
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ms.date: 03/28/2025
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ms.reviewer:
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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 and develop AI agents using Azure AI Foundry capabilities directly in VS Code.
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# Get started with the Azure AI Foundry for Visual Studio Code extension (Preview)
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# Work with the Azure AI Foundry for Visual Studio Code extension (Preview)
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[Azure AI Foundry](/azure/ai-foundry/what-is-ai-foundry) provides a unified platform for enterprise AI operations, model builders, and application development. This foundation combines production-grade infrastructure with friendly interfaces, ensuring organizations can build and operate AI applications with confidence.
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:::image type="content" source="../../media/how-to/get-started-projects-vs-code/deploy-model-popup.png" alt-text="Screenshot of the confirmation dialog box with the Deploy button highlighted." lightbox="../../media/how-to/get-started-projects-vs-code/deploy-model-popup.png":::
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1. After a successful deployment, your model will be listed with your other deployed models under the **Models** section in your project.
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1. After a successful deployment, your model will be listed by deployment name with your other deployed models under the **Models** section in your project.
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:::image type="content" source="../../media/how-to/get-started-projects-vs-code/deployed-model.png" alt-text="Screenshot of the newly deployed model under the Models section." lightbox="../../media/how-to/get-started-projects-vs-code/deployed-model.png":::
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1. Enter a name for your agent in the prompt.
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1. Enter your deployed model name.
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1. Enter your model deployment name. The deployment name you chose when you deployed an existing model.
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> [!TIP]
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> The deployed model name must be the exact name of the model you deployed in your Azure AI Foundry project.
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> The model deployment name must be the exact name you chose for the model you deployed in your Azure AI Foundry project. In the following image, `gpt-4o-1` is the model deployment name you chose at deployment. `gpt-4o` is the model name.
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> :::image type="content" source="../../media/how-to/get-started-projects-vs-code/deployment-model-name.png" alt-text="Screenshot of the highlighted deployment model names, an arrow between them, and the model name highlighted in a different color." lightbox="../../media/how-to/get-started-projects-vs-code/deployment-model-name.png":::
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1. Configure the following fields:
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Deploy your agent directly to Azure AI Foundry with the following steps:
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1. Select the **Deploy to Azure AI Foundry** button in the bottom-right of the designer.
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1. Select the **Deploy to Azure AI Foundry** button in the bottom-left of the designer.
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:::image type="content" source="../../media/how-to/get-started-projects-vs-code/agent-deploy.png" alt-text="Screenshot of the Agent designer with the 'Deploy to Azure AI Foundry' button highlighted." lightbox="../../media/how-to/get-started-projects-vs-code/agent-deploy.png":::
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