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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.

Install / Use

npx skills add microsoft/skills --skill azure-mgmt-weightsandbiases-dotnet

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

93/100

Category

Operations

Supported Platforms

Universal

Our assessment of azure-mgmt-weightsandbiases-dotnet

azure-mgmt-weightsandbiases-dotnet scores 93/100 on our quality scale, 131st of 503 Operations skills we index (top 27%).

Its SKILL.md is 11 KB long, well organised into 26 sections with 13 code examples: a thorough specification that gives an agent plenty to work with.

With 3,051 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
20/20
Description
15/15
Adoption
15/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 5 days ago, so azure-mgmt-weightsandbiases-dotnet is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-09-29. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

azure-mgmt-weightsandbiases-dotnet compared with similar skills

All 4 of these similar skills score higher than azure-mgmt-weightsandbiases-dotnet; compare them before choosing.

SkillScoreStarsUpdatedFormat
azure-mgmt-weightsandbiases-dotnet (this skill)by microsoft933.1k5d agoSKILL.md
algorithmic-artby anthropics100177.9k6d agoSKILL.md
pptxby anthropics100177.9k6d agoSKILL.md
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Frequently asked questions

How do I install azure-mgmt-weightsandbiases-dotnet?
Run npx skills add microsoft/skills --skill azure-mgmt-weightsandbiases-dotnet. The install tabs above show the steps for each supported agent.
Which AI agents does azure-mgmt-weightsandbiases-dotnet work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is azure-mgmt-weightsandbiases-dotnet safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is azure-mgmt-weightsandbiases-dotnet still maintained?
The repository was last updated 5 days ago, so azure-mgmt-weightsandbiases-dotnet is actively maintained.

name: azure-mgmt-weightsandbiases-dotnet description: | 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. Triggers: "Weights and Biases", "W&B", "WeightsAndBiases", "ML experiment tracking", "model registry", "experiment management", "wandb". license: MIT metadata: author: Microsoft version: "1.0.0" package: Azure.ResourceManager.WeightsAndBiases

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> # Required: Azure subscription ID
AZURE_RESOURCE_GROUP=<your-resource-group> # Required: Azure resource group name
AZURE_WANDB_INSTANCE_NAME=<your-wandb-instance> # 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=<specific_credential>
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 = "<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

  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 |

Related Skills

View on GitHub
GitHub Stars3.1k
CategoryOperations
Updated5d ago
Forks349

Languages

TypeScript

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions