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Azure DevOps Services | Azure DevOps Server 2022 - Azure DevOps Server 2019
This article guides you through setting up your project and restoring NuGet packages using the NuGet command-line interface.
Product | Requirements |
---|---|
Azure DevOps | - An Azure DevOps organization. - An Azure DevOps project. - An Azure Artifacts feed. - Download and install the Azure Artifacts Credential Provider. - The latest NuGet version. |
Sign in to your Azure DevOps organization, and then navigate to your project.
Select Artifacts, and then select your feed from the dropdown menu.
Select Connect to feed, and then select NuGet.exe from the left navigation pane.
Add a nuget.config file to your project, in the same folder as your csproj or .sln file. Paste the provided XML snippet into your file. The snippet should look like the following:
Organization-scoped feed:
<?xml version="1.0" encoding="utf-8"?>
<configuration>
<packageSources>
<clear />
<add key="<SOURCE_NAME>" value="https://pkgs.dev.azure.com/<ORGANIZATION_NAME>/_packaging/<FEED_NAME>/nuget/v3/index.json" />
</packageSources>
</configuration>
Project-scoped feed:
<?xml version="1.0" encoding="utf-8"?>
<configuration>
<packageSources>
<clear />
<add key="<SOURCE_NAME>" value="https://pkgs.dev.azure.com/<ORGANIZATION_NAME>/<PROJECT_NAME>/_packaging/<FEED_NAME>/nuget/v3/index.json" />
</packageSources>
</configuration>
Sign in to your Azure DevOps server, and then navigate to your project.
Select Artifacts, and then select your feed.
Select Connect to Feed, and then select NuGet.exe from the left navigation pane.
Follow the instructions in the Project setup section to connect to your feed.
Sign in to your Azure DevOps server, and then navigate to your project.
Select Artifacts, and then select your feed.
Select Connect to Feed, and then select NuGet from the left navigation pane.
Follow the provided instructions to add your package source URL to your nuget.config file.
Run the following command in your project directory to restore your packages:
nuget.exe restore
Events
17 Mar, 23 - 21 Mar, 23
Join the meetup series to build scalable AI solutions based on real-world use cases with fellow developers and experts.
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