Regtransfers/azure-mgmt-weightsandbiases-dotnet

@ Azure.ResourceManager.WeightsAndBiases (.NET)

Azure Resource Manager SDK for deploying and managing Weights & Biases ML experiment tracking instances via Azure Marketplace.

@ Installation

dotnet add package Azure.ResourceManager.WeightsAndBiases --prerelease
dotnet add package Azure.Identity

Current Version: v1.0.0-beta.1 (preview) API Version: 2024-09-18-preview

@ Environment Variables

AZURE_SUBSCRIPTION_ID=<your-subscription-id>
AZURE_RESOURCE_GROUP=<your-resource-group>
AZURE_WANDB_INSTANCE_NAME=<your-wandb-instance>

@ Authentication

using Azure.Identity;
using Azure.ResourceManager;
using Azure.ResourceManager.WeightsAndBiases;

ArmClient client = new ArmClient(new DefaultAzureCredential());

@ Resource Hierarchy

Subscription
└── ResourceGroup
    └── WeightsAndBiasesInstance    # W&B deployment from Azure Marketplace
        ├── Properties
        │   ├── Marketplace          # Offer details, plan, publisher
        │   ├── User                 # Admin user info
        │   ├── PartnerProperties    # W&B-specific config (region, subdomain)
        │   └── SingleSignOnPropertiesV2  # Entra ID SSO configuration
        └── Identity                 # Managed identity (optional)

@ Core Workflows

@ 1. Create Weights & Biases Instance

using Azure.ResourceManager.WeightsAndBiases;
using Azure.ResourceManager.WeightsAndBiases.Models;

ResourceGroupResource resourceGroup = await client
    .GetDefaultSubscriptionAsync()
    .Result
    .GetResourceGroupAsync("my-resource-group");

WeightsAndBiasesInstanceCollection instances = resourceGroup.GetWeightsAndBiasesInstances();

WeightsAndBiasesInstanceData data = new WeightsAndBiasesInstanceData(AzureLocation.EastUS)
{
    Properties = new WeightsAndBiasesInstanceProperties
    {
        // Marketplace configuration
        Marketplace = new WeightsAndBiasesMarketplaceDetails
        {
            SubscriptionId = "<marketplace-subscription-id>",
            OfferDetails = new WeightsAndBiasesOfferDetails
            {
                PublisherId = "wandb",
                OfferId = "wandb-pay-as-you-go",
                PlanId = "wandb-payg",
                PlanName = "Pay As You Go",
                TermId = "monthly",
                TermUnit = "P1M"
            }
        },
        // Admin user
        User = new WeightsAndBiasesUserDetails
        {
            FirstName = "Admin",
            LastName = "User",
            EmailAddress = "[email protected]",
            Upn = "[email protected]"
        },
        // W&B-specific configuration
        PartnerProperties = new WeightsAndBiasesPartnerProperties
        {
            Region = WeightsAndBiasesRegion.EastUS,
            Subdomain = "my-company-wandb"
        }
    },
    // Optional: Enable managed identity
    Identity = new ManagedServiceIdentity(ManagedServiceIdentityType.SystemAssigned)
};

ArmOperation<WeightsAndBiasesInstanceResource> operation = await instances
    .CreateOrUpdateAsync(WaitUntil.Completed, "my-wandb-instance", data);

WeightsAndBiasesInstanceResource instance = operation.Value;

Console.WriteLine($"W&B Instance created: {instance.Data.Name}");
Console.WriteLine($"Provisioning state: {instance.Data.Properties.ProvisioningState}");

@ 2. Get Existing Instance

WeightsAndBiasesInstanceResource instance = await resourceGroup
    .GetWeightsAndBiasesInstanceAsync("my-wandb-instance");

Console.WriteLine($"Instance: {instance.Data.Name}");
Console.WriteLine($"Location: {instance.Data.Location}");
Console.WriteLine($"State: {instance.Data.Properties.ProvisioningState}");

if (instance.Data.Properties.PartnerProperties != null)
{
    Console.WriteLine($"Region: {instance.Data.Properties.PartnerProperties.Region}");
    Console.WriteLine($"Subdomain: {instance.Data.Properties.PartnerProperties.Subdomain}");
}

@ 3. List All Instances

// List in resource group
await foreach (WeightsAndBiasesInstanceResource instance in
    resourceGroup.GetWeightsAndBiasesInstances())
{
    Console.WriteLine($"Instance: {instance.Data.Name}");
    Console.WriteLine($"  Location: {instance.Data.Location}");
    Console.WriteLine($"  State: {instance.Data.Properties.ProvisioningState}");
}

// List in subscription
SubscriptionResource subscription = await client.GetDefaultSubscriptionAsync();
await foreach (WeightsAndBiasesInstanceResource instance in
    subscription.GetWeightsAndBiasesInstancesAsync())
{
    Console.WriteLine($"{instance.Data.Name} in {instance.Id.ResourceGroupName}");
}

@ 4. Configure Single Sign-On (SSO)

WeightsAndBiasesInstanceResource instance = await resourceGroup
    .GetWeightsAndBiasesInstanceAsync("my-wandb-instance");

// Update with SSO configuration
WeightsAndBiasesInstanceData updateData = instance.Data;

updateData.Properties.SingleSignOnPropertiesV2 = new WeightsAndBiasSingleSignOnPropertiesV2
{
    Type = WeightsAndBiasSingleSignOnType.Saml,
    State = WeightsAndBiasSingleSignOnState.Enable,
    EnterpriseAppId = "<entra-app-id>",
    AadDomains = { "example.com", "contoso.com" }
};

ArmOperation<WeightsAndBiasesInstanceResource> operation = await resourceGroup
    .GetWeightsAndBiasesInstances()
    .CreateOrUpdateAsync(WaitUntil.Completed, "my-wandb-instance", updateData);

@ 5. Update Instance

WeightsAndBiasesInstanceResource instance = await resourceGroup
    .GetWeightsAndBiasesInstanceAsync("my-wandb-instance");

// Update tags
WeightsAndBiasesInstancePatch patch = new WeightsAndBiasesInstancePatch
{
    Tags =
    {
        { "environment", "production" },
        { "team", "ml-platform" },
        { "costCenter", "CC-ML-001" }
    }
};

instance = await instance.UpdateAsync(patch);
Console.WriteLine($"Updated instance: {instance.Data.Name}");

@ 6. Delete Instance

WeightsAndBiasesInstanceResource instance = await resourceGroup
    .GetWeightsAndBiasesInstanceAsync("my-wandb-instance");

await instance.DeleteAsync(WaitUntil.Completed);
Console.WriteLine("Instance deleted");

@ 7. Check Resource Name Availability

// Check if name is available before creating
// (Implement via direct ARM call if SDK doesn't expose this)
try
{
    await resourceGroup.GetWeightsAndBiasesInstanceAsync("desired-name");
    Console.WriteLine("Name is already taken");
}
catch (RequestFailedException ex) when (ex.Status == 404)
{
    Console.WriteLine("Name is available");
}

@ Key Types Reference

Type; Purpose

WeightsAndBiasesInstanceResource; W&B instance resource WeightsAndBiasesInstanceData; Instance configuration data WeightsAndBiasesInstanceCollection; Collection of instances WeightsAndBiasesInstanceProperties; Instance properties WeightsAndBiasesMarketplaceDetails; Marketplace subscription info WeightsAndBiasesOfferDetails; Marketplace offer details WeightsAndBiasesUserDetails; Admin user information WeightsAndBiasesPartnerProperties; W&B-specific configuration WeightsAndBiasSingleSignOnPropertiesV2; SSO configuration WeightsAndBiasesInstancePatch; Patch for updates WeightsAndBiasesRegion; Supported regions enum

@ Available Regions

Region Enum; Azure Region

WeightsAndBiasesRegion.EastUS; East US WeightsAndBiasesRegion.CentralUS; Central US WeightsAndBiasesRegion.WestUS; West US WeightsAndBiasesRegion.WestEurope; West Europe WeightsAndBiasesRegion.JapanEast; Japan East WeightsAndBiasesRegion.KoreaCentral; Korea Central

@ Marketplace Offer Details

For Azure Marketplace integration:

Property; Value

Publisher ID; wandb Offer ID; wandb-pay-as-you-go Plan ID; wandb-payg (Pay As You Go)

@ Best Practices

1. Use DefaultAzureCredential — Supports multiple auth methods automatically
2. Enable managed identity — For secure access to other Azure resources
3. Configure SSO — Enable Entra ID SSO for enterprise security
4. Tag resources — Use tags for cost tracking and organization
5. Check provisioning state — Wait for Succeeded before using instance
6. Use appropriate region — Choose region closest to your compute
7. Monitor with Azure — Use Azure Monitor for resource health

@ Error Handling

using Azure;

try
{
    ArmOperation<WeightsAndBiasesInstanceResource> operation = await instances
        .CreateOrUpdateAsync(WaitUntil.Completed, "my-wandb", data);
}
catch (RequestFailedException ex) when (ex.Status == 409)
{
    Console.WriteLine("Instance already exists or name conflict");
}
catch (RequestFailedException ex) when (ex.Status == 400)
{
    Console.WriteLine($"Invalid configuration: {ex.Message}");
}
catch (RequestFailedException ex)
{
    Console.WriteLine($"Azure error: {ex.Status} - {ex.Message}");
}

@ Integration with W&B SDK

After creating the Azure resource, use the W&B Python SDK for experiment tracking:

# Install: pip install wandb
import wandb

# Login with your W&B API key from the Azure-deployed instance
wandb.login(host="https://my-company-wandb.wandb.ai")

# Initialize a run
run = wandb.init(project="my-ml-project")

# Log metrics
wandb.log({"accuracy": 0.95, "loss": 0.05})

# Finish run
run.finish()

@ Related SDKs

SDK; Purpose; Install

Azure.ResourceManager.WeightsAndBiases; W&B instance management (this SDK); dotnet add package Azure.ResourceManager.WeightsAndBiases --prerelease Azure.ResourceManager.MachineLearning; Azure ML workspaces; dotnet add package Azure.ResourceManager.MachineLearning

@ Reference Links

Resource; URL

NuGet Package; https://www.nuget.org/packages/Azure.ResourceManager.WeightsAndBiases W&B Documentation; https://docs.wandb.ai/ Azure Marketplace; https://azuremarketplace.microsoft.com/marketplace/apps/wandb.wandb-pay-as-you-go GitHub Source; https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/weightsandbiases

@ When to Use This skill is applicable to execute the workflow or actions described in the overview.

@ Limitations

• Use this skill only when the task clearly matches the scope described above.
• never treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.