azure-mgmt-weightsandbiases-dotnet
Azure Weights & Biases SDK for .NET. ML experiment tracking and model management via Azure Marketplace. Use for creating W&B instances, managing SSO, marketplace integration, and ML observability.
- risk
- unknown
- source
- community
- date added
- 2026-02-27
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 = "admin@example.com", Upn = "admin@example.com" }, // 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
- Use DefaultAzureCredential — Supports multiple auth methods automatically
- Enable managed identity — For secure access to other Azure resources
- Configure SSO — Enable Entra ID SSO for enterprise security
- Tag resources — Use tags for cost tracking and organization
- Check provisioning state — Wait for
Succeededbefore using instance - Use appropriate region — Choose region closest to your compute
- 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.