azure-mgmt-arizeaiobservabilityeval-dotnet
Azure Resource Manager SDK for Arize AI Observability and Evaluation (.NET).
Best use case
azure-mgmt-arizeaiobservabilityeval-dotnet is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Azure Resource Manager SDK for Arize AI Observability and Evaluation (.NET).
Teams using azure-mgmt-arizeaiobservabilityeval-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-arizeaiobservabilityeval-dotnet/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How azure-mgmt-arizeaiobservabilityeval-dotnet Compares
| Feature / Agent | azure-mgmt-arizeaiobservabilityeval-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 Resource Manager SDK for Arize AI Observability and Evaluation (.NET).
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.ArizeAIObservabilityEval
.NET SDK for managing Arize AI Observability and Evaluation resources on Azure.
## Installation
```bash
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
```bash
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
```csharp
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
```csharp
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($"Created: {organization.Data.Name}");
```
### Get an Organization
```csharp
// Option 1: From collection
var org = await collection.GetAsync("my-arize-org");
// Option 2: Check if exists first
var exists = await collection.ExistsAsync("my-arize-org");
if (exists.Value)
{
var org = await collection.GetAsync("my-arize-org");
}
// Option 3: GetIfExists (returns null if not found)
var response = await collection.GetIfExistsAsync("my-arize-org");
if (response.HasValue)
{
var org = response.Value;
}
```
### List Organizations
```csharp
// List in resource group
await foreach (var org in collection.GetAllAsync())
{
Console.WriteLine($"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
```csharp
// 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
```csharp
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
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
```csharp
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
```csharp
// 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](https://www.nuget.org/packages/Azure.ResourceManager.ArizeAIObservabilityEval)
- [Azure SDK for .NET](https://github.com/Azure/azure-sdk-for-net)
- [Arize AI](https://arize.com/)
## 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.Related Skills
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