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

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@@ -288,8 +288,48 @@ Open the model playground using the following steps:
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## Working with Azure AI Agent Service
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After you deploy a model using the VS Code extension, AI Foundry, API, or SDK, you can work with [Azure AI Agent Service](/azure/ai-services/agents/overview). Agents are "smart" microservices that:
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- Answer questions using their training data or search other sources with Retrieval Augmented Generation (RAG)
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- Perform specific actions
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- Automate complete workflows
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Agents combine AI models with tools to access and interact with your data.
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### Create and edit Azure AI Agents within the designer view
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Follow these steps to create an Azure AI agent:
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1. First, finish the [Get Started](#get-started) section to sign in to your Azure resources and set your default project.
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1. [Deploy a model](#deploy-a-model) to use with your agent.
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1. Select your AI Foundry project in the Azure Resources sidebar.
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1. Under your project, find the **Agents** section.
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1. Click the **+** (plus) icon next to **Agents** to create a new agent.
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:::image type="content" source="../../media/how-to/get-started-projects-vs-code/select-agent-plus.png" alt-text="Screenshot of the plus sign next to the Agents subsection." lightbox="../../media/how-to/get-started-projects-vs-code/select-agent-plus.png":::
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1. Select a directory and enter a name for your new agent yaml file in the **Save As** dialog box.
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:::image type="content" source="../../media/how-to/get-started-projects-vs-code/enter-agent-name.png" alt-text="Screenshot of the VS Code Save As dialog to save the agent yaml file." lightbox="../../media/how-to/get-started-projects-vs-code/enter-agent-name.png":::
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1. The agent designer will open, where you can:
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1. Enter a name for your agent in the prompt.
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1. Select a model to power your agent from the dropdown menu.
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1. Configure and test.
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- Add a description for your agent
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- Set system instructions
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- Configure tools the agent can use
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- Test your agent's responses
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9. Click **Save** to store your agent configuration.
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### Show the Azure AI Agent YAML definition
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### Deploy Azure AI Agents to the Azure AI Foundry Studio
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