azure-mgmt-apicenter-dotnet

SDK de Azure API Center para .NET. Gestión centralizada de inventario de API con gobernanza, versionado y descubrimiento. Úselo para crear servicios de API, espacios de trabajo, API, versiones, definiciones, entornos, implementaciones y esquemas de metadatos. Disparadores: "API Center", "ApiCenterService", "ApiCenterWorkspace", "ApiCenterApi", "inventario de API", "gobernanza de API", "versionado de API", "catálogo de API", "descubrimiento de API".

npx skills add https://github.com/microsoft/skills --skill azure-mgmt-apicenter-dotnet

Azure.ResourceManager.ApiCenter (.NET)

Centralized API inventory and governance SDK for managing APIs across your organization.

Installation

dotnet add package Azure.ResourceManager.ApiCenter
dotnet add package Azure.Identity

Current Version: v1.0.0 (GA)
API Version: 2024-03-01

Environment Variables

AZURE_SUBSCRIPTION_ID=<your-subscription-id>  # Required: Azure subscription ID
AZURE_RESOURCE_GROUP=<your-resource-group>  # Required: resource group name
AZURE_APICENTER_SERVICE_NAME=<your-apicenter-service>  # Required: API Center service name
AZURE_TOKEN_CREDENTIALS=prod  # Required only if DefaultAzureCredential is used in production

Authentication

using Azure.Identity;
using Azure.ResourceManager;
using Azure.ResourceManager.ApiCenter;

// 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
    └── ApiCenterService                    # API inventory service
        ├── Workspace                       # Logical grouping of APIs
        │   ├── Api                         # API definition
        │   │   └── ApiVersion              # Version of the API
        │   │       └── ApiDefinition       # OpenAPI/GraphQL/etc specification
        │   ├── Environment                 # Deployment target (dev/staging/prod)
        │   └── Deployment                  # API deployed to environment
        └── MetadataSchema                  # Custom metadata definitions

Core Workflows

1. Create API Center Service

using Azure.ResourceManager.ApiCenter;
using Azure.ResourceManager.ApiCenter.Models;

ResourceGroupResource resourceGroup = await client
    .GetDefaultSubscriptionAsync()
    .Result
    .GetResourceGroupAsync("my-resource-group");

ApiCenterServiceCollection services = resourceGroup.GetApiCenterServices();

ApiCenterServiceData data = new ApiCenterServiceData(AzureLocation.EastUS)
{
    Identity = new ManagedServiceIdentity(ManagedServiceIdentityType.SystemAssigned)
};

ArmOperation<ApiCenterServiceResource> operation = await services
    .CreateOrUpdateAsync(WaitUntil.Completed, "my-api-center", data);

ApiCenterServiceResource service = operation.Value;

2. Create Workspace

ApiCenterWorkspaceCollection workspaces = service.GetApiCenterWorkspaces();

ApiCenterWorkspaceData workspaceData = new ApiCenterWorkspaceData
{
    Title = "Engineering APIs",
    Description = "APIs owned by the engineering team"
};

ArmOperation<ApiCenterWorkspaceResource> operation = await workspaces
    .CreateOrUpdateAsync(WaitUntil.Completed, "engineering", workspaceData);

ApiCenterWorkspaceResource workspace = operation.Value;

3. Create API

ApiCenterApiCollection apis = workspace.GetApiCenterApis();

ApiCenterApiData apiData = new ApiCenterApiData
{
    Title = "Orders API",
    Description = "API for managing customer orders",
    Kind = ApiKind.Rest,
    LifecycleStage = ApiLifecycleStage.Production,
    TermsOfService = new ApiTermsOfService
    {
        Uri = new Uri("https://example.com/terms")
    },
    ExternalDocumentation = 
    {
        new ApiExternalDocumentation
        {
            Title = "Documentation",
            Uri = new Uri("https://docs.example.com/orders")
        }
    },
    Contacts =
    {
        new ApiContact
        {
            Name = "API Support",
            Email = "api-support@example.com"
        }
    }
};

// Add custom metadata
apiData.CustomProperties = BinaryData.FromObjectAsJson(new
{
    team = "orders-team",
    costCenter = "CC-1234"
});

ArmOperation<ApiCenterApiResource> operation = await apis
    .CreateOrUpdateAsync(WaitUntil.Completed, "orders-api", apiData);

ApiCenterApiResource api = operation.Value;

4. Create API Version

ApiCenterApiVersionCollection versions = api.GetApiCenterApiVersions();

ApiCenterApiVersionData versionData = new ApiCenterApiVersionData
{
    Title = "v1.0.0",
    LifecycleStage = ApiLifecycleStage.Production
};

ArmOperation<ApiCenterApiVersionResource> operation = await versions
    .CreateOrUpdateAsync(WaitUntil.Completed, "v1-0-0", versionData);

ApiCenterApiVersionResource version = operation.Value;

5. Create API Definition (Upload OpenAPI Spec)

ApiCenterApiDefinitionCollection definitions = version.GetApiCenterApiDefinitions();

ApiCenterApiDefinitionData definitionData = new ApiCenterApiDefinitionData
{
    Title = "OpenAPI Specification",
    Description = "Orders API OpenAPI 3.0 definition"
};

ArmOperation<ApiCenterApiDefinitionResource> operation = await definitions
    .CreateOrUpdateAsync(WaitUntil.Completed, "openapi", definitionData);

ApiCenterApiDefinitionResource definition = operation.Value;

// Import specification
string openApiSpec = await File.ReadAllTextAsync("orders-api.yaml");

ApiSpecImportContent importContent = new ApiSpecImportContent
{
    Format = ApiSpecImportSourceFormat.Inline,
    Value = openApiSpec,
    Specification = new ApiSpecImportSpecification
    {
        Name = "openapi",
        Version = "3.0.1"
    }
};

await definition.ImportSpecificationAsync(WaitUntil.Completed, importContent);

6. Export API Specification

ApiCenterApiDefinitionResource definition = await client
    .GetApiCenterApiDefinitionResource(definitionResourceId)
    .GetAsync();

ArmOperation<ApiSpecExportResult> operation = await definition
    .ExportSpecificationAsync(WaitUntil.Completed);

ApiSpecExportResult result = operation.Value;

// result.Format - e.g., "inline"
// result.Value - the specification content

7. Create Environment

ApiCenterEnvironmentCollection environments = workspace.GetApiCenterEnvironments();

ApiCenterEnvironmentData envData = new ApiCenterEnvironmentData
{
    Title = "Production",
    Description = "Production environment",
    Kind = ApiCenterEnvironmentKind.Production,
    Server = new ApiCenterEnvironmentServer
    {
        ManagementPortalUris = { new Uri("https://portal.azure.com") }
    },
    Onboarding = new EnvironmentOnboardingModel
    {
        Instructions = "Contact platform team for access",
        DeveloperPortalUris = { new Uri("https://developer.example.com") }
    }
};

ArmOperation<ApiCenterEnvironmentResource> operation = await environments
    .CreateOrUpdateAsync(WaitUntil.Completed, "production", envData);

8. Create Deployment

ApiCenterDeploymentCollection deployments = workspace.GetApiCenterDeployments();

// Get environment resource ID
ResourceIdentifier envResourceId = ApiCenterEnvironmentResource.CreateResourceIdentifier(
    subscriptionId, resourceGroupName, serviceName, workspaceName, "production");

// Get API definition resource ID
ResourceIdentifier definitionResourceId = ApiCenterApiDefinitionResource.CreateResourceIdentifier(
    subscriptionId, resourceGroupName, serviceName, workspaceName, 
    "orders-api", "v1-0-0", "openapi");

ApiCenterDeploymentData deploymentData = new ApiCenterDeploymentData
{
    Title = "Orders API - Production",
    Description = "Production deployment of Orders API v1.0.0",
    EnvironmentId = envResourceId,
    DefinitionId = definitionResourceId,
    State = ApiCenterDeploymentState.Active,
    Server = new ApiCenterDeploymentServer
    {
        RuntimeUris = { new Uri("https://api.example.com/orders") }
    }
};

ArmOperation<ApiCenterDeploymentResource> operation = await deployments
    .CreateOrUpdateAsync(WaitUntil.Completed, "orders-api-prod", deploymentData);

9. Create Metadata Schema

ApiCenterMetadataSchemaCollection schemas = service.GetApiCenterMetadataSchemas();

string jsonSchema = """
{
    "type": "object",
    "properties": {
        "team": {
            "type": "string",
            "title": "Owning Team"
        },
        "costCenter": {
            "type": "string",
            "title": "Cost Center"
        },
        "dataClassification": {
            "type": "string",
            "enum": ["public", "internal", "confidential"],
            "title": "Data Classification"
        }
    },
    "required": ["team"]
}
""";

ApiCenterMetadataSchemaData schemaData = new ApiCenterMetadataSchemaData
{
    Schema = jsonSchema,
    AssignedTo =
    {
        new MetadataAssignment
        {
            Entity = MetadataAssignmentEntity.Api,
            Required = true
        }
    }
};

ArmOperation<ApiCenterMetadataSchemaResource> operation = await schemas
    .CreateOrUpdateAsync(WaitUntil.Completed, "api-metadata", schemaData);

10. List and Search APIs

// List all APIs in a workspace
ApiCenterWorkspaceResource workspace = await client
    .GetApiCenterWorkspaceResource(workspaceResourceId)
    .GetAsync();

await foreach (ApiCenterApiResource api in workspace.GetApiCenterApis())
{
    Console.WriteLine($"API: {api.Data.Title}");
    Console.WriteLine($"  Kind: {api.Data.Kind}");
    Console.WriteLine($"  Stage: {api.Data.LifecycleStage}");
    
    // List versions
    await foreach (ApiCenterApiVersionResource version in api.GetApiCenterApiVersions())
    {
        Console.WriteLine($"  Version: {version.Data.Title}");
    }
}

// List environments
await foreach (ApiCenterEnvironmentResource env in workspace.GetApiCenterEnvironments())
{
    Console.WriteLine($"Environment: {env.Data.Title} ({env.Data.Kind})");
}

// List deployments
await foreach (ApiCenterDeploymentResource deployment in workspace.GetApiCenterDeployments())
{
    Console.WriteLine($"Deployment: {deployment.Data.Title}");
    Console.WriteLine($"  State: {deployment.Data.State}");
}

Key Types Reference

TypePurpose
ApiCenterServiceResourceAPI Center service instance
ApiCenterWorkspaceResourceLogical grouping of APIs
ApiCenterApiResourceIndividual API
ApiCenterApiVersionResourceVersion of an API
ApiCenterApiDefinitionResourceAPI specification (OpenAPI, etc.)
ApiCenterEnvironmentResourceDeployment environment
ApiCenterDeploymentResourceAPI deployment to environment
ApiCenterMetadataSchemaResourceCustom metadata schema
ApiKindrest, graphql, grpc, soap, webhook, websocket, mcp
ApiLifecycleStagedesign, development, testing, preview, production, deprecated, retired
ApiCenterEnvironmentKinddevelopment, testing, staging, production
ApiCenterDeploymentStateactive, inactive

Best Practices

  1. Organize with workspaces — Group APIs by team, domain, or product
  2. Use metadata schemas — Define custom properties for governance
  3. Track lifecycle stages — Keep API status current (design → production → deprecated)
  4. Document environments — Include onboarding instructions and portal URIs
  5. Version consistently — Use semantic versioning for API versions
  6. Import specifications — Upload OpenAPI/GraphQL specs for discovery
  7. Link deployments — Connect APIs to their runtime environments
  8. Use managed identity — Enable SystemAssigned identity for secure integrations

Error Handling

using Azure;

try
{
    ArmOperation<ApiCenterApiResource> operation = await apis
        .CreateOrUpdateAsync(WaitUntil.Completed, "my-api", apiData);
}
catch (RequestFailedException ex) when (ex.Status == 409)
{
    Console.WriteLine("API already exists with conflicting configuration");
}
catch (RequestFailedException ex) when (ex.Status == 400)
{
    Console.WriteLine($"Invalid request: {ex.Message}");
}
catch (RequestFailedException ex)
{
    Console.WriteLine($"Azure error: {ex.Status} - {ex.Message}");
}

Related SDKs

SDKPurposeInstall
Azure.ResourceManager.ApiCenterAPI Center management (this SDK)dotnet add package Azure.ResourceManager.ApiCenter
Azure.ResourceManager.ApiManagementAPI gateway and policiesdotnet add package Azure.ResourceManager.ApiManagement

Reference Links

ResourceURL
NuGet Packagehttps://www.nuget.org/packages/Azure.ResourceManager.ApiCenter
API Referencehttps://learn.microsoft.com/dotnet/api/azure.resourcemanager.apicenter
Product Documentationhttps://learn.microsoft.com/azure/api-center/
GitHub Sourcehttps://github.com/Azure/azure-sdk-for-net/tree/main/sdk/apicenter/Azure.ResourceManager.ApiCenter

Más skills de microsoft

oss-growth
microsoft
Persona de growth hacker de OSS
agent-framework-azure-ai-py
microsoft
Crea agentes de Azure AI Foundry usando el SDK de Python de Microsoft Agent Framework (agent-framework-azure-ai). Úsalo al crear agentes persistentes con AzureAIAgentsProvider, usando herramientas alojadas (intérprete de código, búsqueda de archivos, búsqueda web), integrando servidores MCP, gestionando hilos de conversación o implementando respuestas en streaming. Cubre herramientas de función, salidas estructuradas y agentes con múltiples herramientas.
development
airunway-aks-setup
microsoft
Configura AI Runway en AKS: desde un clúster vacío hasta un modelo en ejecución. Incluye verificación del clúster, instalación del controlador, evaluación de GPU, configuración del proveedor y primer despliegue. CUÁNDO: "configurar AI Runway", "incorporar clúster AKS", "instalar AI Runway", "configuración de airunway", "desplegar modelo en AKS", "inferencia GPU en AKS", "configuración de KAITO en AKS", "ejecutar LLM en AKS", "vLLM en AKS", "configurar servicio de modelos en AKS", "controlador de AI Runway".
devops
appinsights-instrumentation
microsoft
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 practices.
devops
applicationinsights-web-ts
microsoft
Instrumenta aplicaciones web/navegador con el SDK de JavaScript de Application Insights (@microsoft/applicationinsights-web). Úsalo para monitoreo de usuarios reales (RUM): vistas de página, clics, dependencias AJAX/fetch, excepciones, eventos personalizados y trazas de agentes GenAI del lado del navegador correlacionadas con trazas de OpenTelemetry del backend. Cubre el script de carga del SDK y la configuración npm, extensiones de frameworks (React, React Native, Angular), Click Analytics, inicializadores de telemetría y convenciones semánticas de GenAI de OTel para spans de agentes/herramientas/modelos emitidos desde el navegador.
devops
azure-ai-anomalydetector-java
microsoft
Cree aplicaciones de detección de anomalías con el SDK de Azure AI Anomaly Detector para Java. Úselo al implementar detección de anomalías univariadas/multivariadas, análisis de series temporales o monitoreo impulsado por IA.
development
azure-ai-language-conversations-py
microsoft
Implementa el reconocimiento del lenguaje conversacional (CLU) utilizando el SDK de Python azure-ai-language-conversations. Úsalo al trabajar con ConversationAnalysisClient para analizar la intención y las entidades de la conversación, crear funciones de NLP o integrar el reconocimiento del lenguaje en aplicaciones.
development
azure-ai-ml-py
microsoft
SDK v2 de Azure Machine Learning para Python. Úselo para áreas de trabajo de ML, trabajos, modelos, conjuntos de datos, cómputo y canalizaciones. Disparadores: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
development