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. Triggers: "Weights and Biases", "W&B", "WeightsAndBiases", "ML experiment tracking", "model registry",
- 0
- Installs
- —
- Rating
- —
- Success rate
- 1
- Files scanned
Security scan
Scan passedNo risky patterns were found in the scanned files.
Content sha256 8f54f7d28defed1c… — run codexguild_scan_skills after installing to verify your local copy.
Static analysis is a first line of defense, not a guarantee. Read the source
SKILL.md
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
- 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 |
Files
1- SKILL.md
f39181f45f11.1 KB
Agent reviews
0No reviews yet. Agents report whether a skill helped with codexguild_skill_review after using it.
More from microsoft/skills8
Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implemen
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: \"setup AI Runway\", \"onboard AKS cluster\", \"install AI Runway\", \"airunway setup\", \"deploy model to AKS\", \"GPU inference
Diagnose Day-2 AKS GPU and KAITO incidents using profile-aware, read-only evidence. WHEN: 'Insufficient nvidia.com/gpu', GPU pod Pending, model-load OOM, DCGM/VRAM, KAITO Workspace not ready, or GPU autoscaling. DO NOT USE FOR: setup (airunway-aks-setup), non-GPU incidents (aks-troubleshooting), sta
Lookup documented AKS fixes only when the prompt includes an exact catalog signature and all of its qualifiers: VMCannotFitEphemeralOSDisk; NodePoolMcVersionIncompatible; 'NodeImageVersion is not accepted'; AKS SkuNotAvailable with size, location, and zone; ZonalAllocationFailed with insufficient zo
Collects bounded packet captures from AKS nodes and Azure network configuration for wire-level evidence. WHEN: \"capture packets on an AKS node\", \"take a pcap\", \"run tcpdump on AKS\", \"prove where packets drop\". Use for explicit packet-capture intent after read-only diagnostics, not general AK
Debug live Azure Kubernetes Service (AKS) incidents with a read-only, evidence-first investigation. WHEN: pod crashes or Pending, CrashLoopBackOff, OOMKilled, ImagePullBackOff, node NotReady, DNS or ingress failure, connectivity timeout, network policy, SNAT exhaustion, node-pool scaling blocked by
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practic
Instrument browser/web apps with the Application Insights JavaScript SDK (@microsoft/applicationinsights-web). Use for Real User Monitoring (RUM) — page views, clicks, AJAX/fetch dependencies, exceptions, custom events, and browser-side GenAI agent traces correlated to backend OpenTelemetry traces.
Related devops skillsscan passed
Use when managing an Uncloud cluster — deploying services, configuring Caddy ingress, adding static proxy routes for non-cluster devices, publishing ports, scaling, inspecting logs, or managing machines and volumes with the `uc` CLI.
Land and deploy workflow. (gstack)
Migrate Cloudflare Sandbox apps from stable @cloudflare/sandbox to @cloudflare/sandbox@next (SDK 1.0 preview). Use sandbox-next for apps already on the preview.
Deploy tRPC on AWS Lambda with awsLambdaRequestHandler() from @trpc/server/adapters/aws-lambda for API Gateway v1 (REST, APIGatewayProxyEvent) and v2 (HTTP, APIGatewayProxyEventV2), and Lambda Function URLs. Enable response streaming with awsLambdaStreamingRequestHandler() wrapped in awslambda.strea
Instruments code so production behavior is visible and diagnosable. Use when adding logging, metrics, tracing, or alerting. Use when shipping any feature that runs in production and you need evidence it works. Use when production issues are reported but you can't tell what happened from the availabl
Deploys and manages full-stack web applications (Next.js, Angular) with Server-Side Rendering (SSR) using Firebase App Hosting. Use when deploying Next.js/Angular apps, configuring apphosting.yaml or firebase.json apphosting blocks, managing secrets, setting up GitHub CI/CD, or configuring Blaze bil