
Azure Arize AI SDK
FreeManage Arize AI resources on Azure with .NET.
Free · Opens the source repo
What Azure Arize AI SDK does
The Azure.ResourceManager.ArizeAIObservabilityEval SDK provides a .NET interface for managing Arize AI Observability and Evaluation resources within Microsoft Azure. This SDK simplifies the process of creating, retrieving, updating, and deleting Arize AI organizations through a set of straightforward API calls. It is designed for developers and teams who are integrating Arize AI capabilities into their Azure environments, allowing for efficient management of AI observability resources.
To get started, developers can easily install the SDK via NuGet and configure authentication using Azure's DefaultAzureCredential. This allows seamless integration with Azure services while ensuring secure access to resources. The SDK supports asynchronous programming patterns, enabling developers to perform operations without blocking the main thread, which is crucial for maintaining responsive applications.
The core functionality includes creating new Arize AI organizations, retrieving existing ones, listing all organizations within a resource group, updating organization properties, and deleting organizations when they are no longer needed. Each operation is designed to handle long-running tasks effectively, ensuring that developers can manage resources without worrying about timeouts or incomplete operations. This SDK is particularly useful for data scientists and machine learning engineers who require robust observability tools to monitor and evaluate their AI models.
With built-in support for Azure Marketplace subscriptions, users can manage their marketplace details directly through the SDK. This feature is essential for organizations looking to leverage Arize AI's offerings while maintaining compliance and proper resource management within their Azure subscriptions.
When to use it
Use this SDK when you need to manage Arize AI observability resources in Azure using .NET applications.
When not to use it
This SDK is not suitable for non-.NET environments or for managing resources outside of Arize AI's scope.
What you can build with it
Creating an Arize AI Organization
Quickly set up a new Arize AI organization in Azure using the SDK's straightforward API calls.
Updating Organization Properties
Easily modify existing organization details, such as tags and user information, with minimal code.
Listing All Organizations
Retrieve a list of all Arize AI organizations within a specific resource group for better management.
How to install Azure Arize AI SDK
View source1. Install with the skills CLI
npx skills add sickn33/agentic-awesome-skills/azure-mgmt-arizeaiobservabilityeval-dotnet --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by sickn33Azure.ResourceManager.ArizeAIObservabilityEval
.NET SDK for managing Arize AI Observability and Evaluation resources on Azure.
Installation
dotnet add package Azure.ResourceManager.ArizeAIObservabilityEval --version 1.0.0
Package Info
| Property | Value |
|---|---|
| Package | Azure.ResourceManager.ArizeAIObservabilityEval |
| Version | 1.0.0 (GA) |
| API Version | 2024-10-01 |
| ARM Type | ArizeAi.ObservabilityEval/organizations |
| Dependencies | Azure.Core >= 1.46.2, Azure.ResourceManager >= 1.13.1 |
Environment Variables
AZURE_SUBSCRIPTION_ID=<your-subscription-id>
AZURE_TENANT_ID=<your-tenant-id>
AZURE_CLIENT_ID=<your-client-id>
AZURE_CLIENT_SECRET=<your-client-secret>
Authentication
using Azure.Identity;
using Azure.ResourceManager;
using Azure.ResourceManager.ArizeAIObservabilityEval;
// Always use DefaultAzureCredential
var credential = new DefaultAzureCredential();
var armClient = new ArmClient(credential);
Core Workflow
Create an Arize AI Organization
using Azure.Core;
using Azure.ResourceManager.Resources;
using Azure.ResourceManager.ArizeAIObservabilityEval;
using Azure.ResourceManager.ArizeAIObservabilityEval.Models;
// Get subscription and resource group
var subscriptionId = Environment.GetEnvironmentVariable("AZURE_SUBSCRIPTION_ID");
var subscription = await armClient.GetSubscriptionResource(
SubscriptionResource.CreateResourceIdentifier(subscriptionId)).GetAsync();
var resourceGroup = await subscription.Value.GetResourceGroupAsync("my-resource-group");
// Get the organization collection
var collection = resourceGroup.Value.GetArizeAIObservabilityEvalOrganizations();
// Create organization data
var data = new ArizeAIObservabilityEvalOrganizationData(AzureLocation.EastUS)
{
Properties = new ArizeAIObservabilityEvalOrganizationProperties
{
Marketplace = new ArizeAIObservabilityEvalMarketplaceDetails
{
SubscriptionId = "marketplace-subscription-id",
OfferDetails = new ArizeAIObservabilityEvalOfferDetails
{
PublisherId = "arikimlabs1649082416596",
OfferId = "arize-liftr-1",
PlanId = "arize-liftr-1-plan",
PlanName = "Arize AI Plan",
TermUnit = "P1M",
TermId = "term-id"
}
},
User = new ArizeAIObservabilityEvalUserDetails
{
FirstName = "John",
LastName = "Doe",
EmailAddress = "john.doe@example.com"
}
},
Tags = { ["environment"] = "production" }
};
// Create (long-running operation)
var operation = await collection.CreateOrUpdateAsync(
WaitUntil.Completed,
"my-arize-org",
data);
var organization = operation.Value;
Console.WriteLine($"Created: {organization.Data.Name}");
Get an Organization
// Option 1: From collection
var org = await collection.GetAsync("my-arize-org");
// Option 2: Check if exists first
var exists = await collection.ExistsAsync("my-arize-org");
if (exists.Value)
{
var org = await collection.GetAsync("my-arize-org");
}
// Option 3: GetIfExists (returns null if not found)
var response = await collection.GetIfExistsAsync("my-arize-org");
if (response.HasValue)
{
var org = response.Value;
}
List Organizations
// List in resource group
await foreach (var org in collection.GetAllAsync())
{
Console.WriteLine($"Org: {org.Data.Name}, State: {org.Data.Properties?.ProvisioningState}");
}
// List in subscription
await foreach (var org in subscription.Value.GetArizeAIObservabilityEvalOrganizationsAsync())
{
Console.WriteLine($"Org: {org.Data.Name}");
}
Update an Organization
// Update tags
var org = await collection.GetAsync("my-arize-org");
var updateData = new ArizeAIObservabilityEvalOrganizationPatch
{
Tags = { ["environment"] = "staging", ["team"] = "ml-ops" }
};
var updated = await org.Value.UpdateAsync(updateData);
Delete an Organization
var org = await collection.GetAsync("my-arize-org");
await org.Value.DeleteAsync(WaitUntil.Completed);
Key Types
| Type | Purpose |
|---|---|
ArizeAIObservabilityEvalOrganizationResource | Main ARM resource for Arize organizations |
ArizeAIObservabilityEvalOrganizationCollection | Collection for CRUD operations |
ArizeAIObservabilityEvalOrganizationData | Resource data model |
ArizeAIObservabilityEvalOrganizationProperties | Organization properties |
ArizeAIObservabilityEvalMarketplaceDetails | Azure Marketplace subscription info |
ArizeAIObservabilityEvalOfferDetails | Marketplace offer configuration |
ArizeAIObservabilityEvalUserDetails | User contact information |
ArizeAIObservabilityEvalOrganizationPatch | Patch model for updates |
ArizeAIObservabilityEvalSingleSignOnPropertiesV2 | SSO configuration |
Enums
| Enum | Values |
|---|---|
ArizeAIObservabilityEvalOfferProvisioningState | Succeeded, Failed, Canceled, Provisioning, Updating, Deleting, Accepted |
ArizeAIObservabilityEvalMarketplaceSubscriptionStatus | PendingFulfillmentStart, Subscribed, Suspended, Unsubscribed |
ArizeAIObservabilityEvalSingleSignOnState | Initial, Enable, Disable |
ArizeAIObservabilityEvalSingleSignOnType | Saml, OpenId |
Best Practices
- Use async methods — All operations support async/await
- Handle long-running operations — Use
WaitUntil.Completedor poll manually - Use GetIfExistsAsync — Avoid exceptions for conditional logic
- Implement retry policies — Configure via
ArmClientOptions - Use resource identifiers — For direct resource access without listing
- Close clients properly — Use
usingstatements or dispose explicitly
Error Handling
try
{
var org = await collection.GetAsync("my-arize-org");
}
catch (Azure.RequestFailedException ex) when (ex.Status == 404)
{
Console.WriteLine("Organization not found");
}
catch (Azure.RequestFailedException ex)
{
Console.WriteLine($"Azure error: {ex.Message}");
}
Direct Resource Access
// Access resource directly by ID (without listing)
var resourceId = ArizeAIObservabilityEvalOrganizationResource.CreateResourceIdentifier(
subscriptionId,
"my-resource-group",
"my-arize-org");
var org = armClient.GetArizeAIObservabilityEvalOrganizationResource(resourceId);
var data = await org.GetAsync();
Links
When to Use
This skill is applicable to execute the workflow or actions described in the overview.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Frequently asked questions about Azure Arize AI SDK
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