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.
Best use case
azure-mgmt-weightsandbiases-dotnet is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using azure-mgmt-weightsandbiases-dotnet should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/azure-mgmt-weightsandbiases-dotnet/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How azure-mgmt-weightsandbiases-dotnet Compares
| Feature / Agent | azure-mgmt-weightsandbiases-dotnet | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Azure.ResourceManager.WeightsAndBiases (.NET)
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 |
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