Install
$ agentstack add skill-microsoft-skills-azure-mgmt-weightsandbiases-dotnet ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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= # Required: Azure subscription ID
AZURE_RESOURCE_GROUP= # Required: Azure resource group name
AZURE_WANDB_INSTANCE_NAME= # Required: Weights & Biases instance name
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production
Authentication
using Azure.Identity;
using Azure.ResourceManager;
using Azure.ResourceManager.WeightsAndBiases;
// Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=
var credential = new DefaultAzureCredential(
DefaultAzureCredential.DefaultEnvironmentVariableName
);
// Or use a specific credential directly in production:
// See https://learn.microsoft.com/dotnet/api/overview/azure/identity-readme?view=azure-dotnet#credential-classes
// var credential = new ManagedIdentityCredential();
ArmClient client = new ArmClient(credential);
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 = "",
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 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($"{instance.Data.Name} in {instance.Id.ResourceGroupName}");
}
4. Configure Single Sign-On (SSO)
WeightsAndBiasesInstanceResource instance = await resourceGroup
.GetWeightsAndBiasesInstanceAsync("my-wandb-instance");
// Update with SSO configuration
WeightsAndBiasesInstanceData updateData = instance.Data;
updateData.Properties.SingleSignOnPropertiesV2 = new WeightsAndBiasSingleSignOnPropertiesV2
{
Type = WeightsAndBiasSingleSignOnType.Saml,
State = WeightsAndBiasSingleSignOnState.Enable,
EnterpriseAppId = "",
AadDomains = { "example.com", "contoso.com" }
};
ArmOperation operation = await resourceGroup
.GetWeightsAndBiasesInstances()
.CreateOrUpdateAsync(WaitUntil.Completed, "my-wandb-instance", updateData);
5. Update Instance
WeightsAndBiasesInstanceResource instance = await resourceGroup
.GetWeightsAndBiasesInstanceAsync("my-wandb-instance");
// Update tags
WeightsAndBiasesInstancePatch patch = new WeightsAndBiasesInstancePatch
{
Tags =
{
{ "environment", "production" },
{ "team", "ml-platform" },
{ "costCenter", "CC-ML-001" }
}
};
instance = await instance.UpdateAsync(patch);
Console.WriteLine($"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 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 |
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: microsoft
- Source: microsoft/skills
- License: MIT
- Homepage: https://microsoft.github.io/skills/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.