Skip to content
Back to the library
FREE
AI/ML Integration

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.

Try it — you'd type
Help me with azure-mgmt-weightsandbiases-dotnet.
And you'd get back
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.
Adding it takes about 30 seconds
1

Click Get this skill. Grab the .md file, one click, no account needed.

2

Add it to Claude. Drop it into ~/.claude/skills/. Claude picks it up the next time you open a session.

3

Ask normally. Type your question. The skill triggers on the right keywords — you don't have to remember anything.

Unlock all skills — $25
You might also like
OpenAI Integration

Integrate OpenAI API with best practices

Claude API Setup

Set up Claude/Anthropic API integration

Embedding Search

Implement vector embedding search

RAG Pipeline

Build Retrieval-Augmented Generation pipeline

Prompt Template

Create reusable prompt templates with variables

AI Streaming

Implement streaming AI responses

SKILL FILEWhat Claude actually reads
Azure Resource Manager SDK for deploying and managing Weights & Biases ML experiment tracking instances via Azure Marketplace.

## Installation

```bash
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

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

## Authentication

```csharp
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

```csharp
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

```csharp
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

```csharp
// 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)

```csharp
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

```csharp
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

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

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

### 7. Check Resource Name Availability

```csharp
// 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

```csharp
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:

```python
# 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.