Azure Mgmt Arizeaiobservabilityeval Dotnet

Azure.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

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

Enums

Best Practices

1. Use async methods — All operations support async/await
2. Handle long-running operations — Use WaitUntil.Completed or poll manually
3. Use GetIfExistsAsync — Avoid exceptions for conditional logic
4. Implement retry policies — Configure via ArmClientOptions
5. Use resource identifiers — For direct resource access without listing
6. Close clients properly — Use using statements 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

• NuGet Package
• Azure SDK for .NET
• Arize AI

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

AGI Framework Integration

Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills

Memory-First Protocol

Retrieve prior deployment configurations, rollback procedures, and incident post-mortems. Avoid re-discovering infrastructure patterns.

# Check for prior infrastructure context before starting
python3 execution/memory_manager.py auto --query "deployment configuration and patterns for Azure Mgmt Arizeaiobservabilityeval Dotnet"

Storing Results

After completing work, store infrastructure decisions for future sessions:

python3 execution/memory_manager.py store \
  --content "Deployment pipeline: configured blue-green deployment with health checks on port 8080" \
  --type technical --project <project> \
  --tags azure-mgmt-arizeaiobservabilityeval-dotnet devops

Multi-Agent Collaboration

Broadcast deployment changes so frontend and backend agents update their configurations accordingly.

python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Deployed infrastructure changes — updated CI/CD pipeline with new health check endpoints" \
  --project <project>

Playbook Integration

Use the ship-saas-mvp or full-stack-deploy playbook to sequence this skill with testing, documentation, and deployment verification.