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azure-mgmt-apicenter-py

Azure API Center Management SDK for Python. Use for managing API inventory, metadata, and governance across your organization. Triggers: "azure-mgmt-apicenter", "ApiCenterMgmtClient", "API Center", "API inventory", "API governance".

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Azure API Center Management SDK for Python

Manage API inventory, metadata, and governance in Azure API Center.

Installation

pip install azure-mgmt-apicenter
pip install azure-identity

Environment Variables

AZURE_SUBSCRIPTION_ID=your-subscription-id  # Required for all auth methods
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production

Authentication & Lifecycle

🔑 Two rules apply to every code sample below:

  1. Prefer DefaultAzureCredential. It works locally (Azure CLI / VS Code / Developer CLI) and in Azure (managed identity, workload identity) with no code change. Avoid connection strings, account/API keys — they bypass Entra audit and rotation.
    • Local dev: DefaultAzureCredential works as-is.
    • Production: set AZURE_TOKEN_CREDENTIALS=prod (or AZURE_TOKEN_CREDENTIALS=<specific_credential>) to constrain the credential chain to production-safe credentials.
  2. Wrap every client in a context manager so HTTP transports, sockets, and token caches are released deterministically:
    • Sync: with <Client>(...) as client:
    • Async: async with <Client>(...) as client: and async with DefaultAzureCredential() as credential: (from azure.identity.aio)

Snippets may abbreviate this setup, but production code should always follow both rules.

from azure.identity import DefaultAzureCredential, ManagedIdentityCredential
from azure.mgmt.apicenter import ApiCenterMgmtClient
import os

# Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
credential = DefaultAzureCredential(require_envvar=True)
# Or use a specific credential directly in production:
# See https://learn.microsoft.com/python/api/overview/azure/identity-readme?view=azure-python#credential-classes
# credential = ManagedIdentityCredential()

with ApiCenterMgmtClient(
    credential=credential,
    subscription_id=os.environ["AZURE_SUBSCRIPTION_ID"]
) as client:
    # Use `client` for all subsequent operations (see examples below)
    ...

Create API Center

from azure.mgmt.apicenter.models import Service

api_center = client.services.create_or_update(
    resource_group_name="my-resource-group",
    service_name="my-api-center",
    resource=Service(
        location="eastus",
        tags={"environment": "production"}
    )
)

print(f"Created API Center: {api_center.name}")

List API Centers

api_centers = client.services.list_by_subscription()

for api_center in api_centers:
    print(f"{api_center.name} - {api_center.location}")

Register an API

from azure.mgmt.apicenter.models import Api, ApiKind, ApiProperties

api = client.apis.create_or_update(
    resource_group_name="my-resource-group",
    service_name="my-api-center",
    workspace_name="default",
    api_name="my-api",
    resource=Api(
        properties=ApiProperties(
            title="My API",
            description="A sample API for demonstration",
            kind=ApiKind.REST,
            terms_of_service={"url": "https://example.com/terms"},
            contacts=[{"name": "API Team", "email": "api-team@example.com"}],
        )
    ),
)

print(f"Registered API: {api.properties.title}")

Create API Version

from azure.mgmt.apicenter.models import ApiVersion, ApiVersionProperties, LifecycleStage

version = client.api_versions.create_or_update(
    resource_group_name="my-resource-group",
    service_name="my-api-center",
    workspace_name="default",
    api_name="my-api",
    version_name="v1",
    resource=ApiVersion(
        properties=ApiVersionProperties(
            title="Version 1.0",
            lifecycle_stage=LifecycleStage.PRODUCTION,
        )
    ),
)

print(f"Created version: {version.properties.title}")

Add API Definition

from azure.mgmt.apicenter.models import ApiDefinition, ApiDefinitionProperties

definition = client.api_definitions.create_or_update(
    resource_group_name="my-resource-group",
    service_name="my-api-center",
    workspace_name="default",
    api_name="my-api",
    version_name="v1",
    definition_name="openapi",
    resource=ApiDefinition(
        properties=ApiDefinitionProperties(
            title="OpenAPI Definition",
            description="OpenAPI 3.0 specification",
        )
    ),
)

Import API Specification

from azure.mgmt.apicenter.models import ApiSpecImportRequest, ApiSpecImportSourceFormat

# Import from inline content
client.api_definitions.begin_import_specification(
    resource_group_name="my-resource-group",
    service_name="my-api-center",
    workspace_name="default",
    api_name="my-api",
    version_name="v1",
    definition_name="openapi",
    body=ApiSpecImportRequest(
        format=ApiSpecImportSourceFormat.INLINE,
        value='{"openapi": "3.0.0", "info": {"title": "My API", "version": "1.0"}, "paths": {}}',
    )
).result()

List APIs

apis = client.apis.list(
    resource_group_name="my-resource-group",
    service_name="my-api-center",
    workspace_name="default"
)

for api in apis:
    print(f"{api.name}: {api.title} ({api.kind})")

Create Environment

from azure.mgmt.apicenter.models import Environment, EnvironmentKind, EnvironmentProperties

environment = client.environments.create_or_update(
    resource_group_name="my-resource-group",
    service_name="my-api-center",
    workspace_name="default",
    environment_name="production",
    resource=Environment(
        properties=EnvironmentProperties(
            title="Production",
            description="Production environment",
            kind=EnvironmentKind.PRODUCTION,
            server={"type": "Azure API Management", "management_portal_uri": ["https://portal.azure.com"]},
        )
    ),
)

Create Deployment

from azure.mgmt.apicenter.models import Deployment, DeploymentProperties, DeploymentState

deployment = client.deployments.create_or_update(
    resource_group_name="my-resource-group",
    service_name="my-api-center",
    workspace_name="default",
    api_name="my-api",
    deployment_name="prod-deployment",
    resource=Deployment(
        properties=DeploymentProperties(
            title="Production Deployment",
            description="Deployed to production APIM",
            environment_id="/workspaces/default/environments/production",
            definition_id="/workspaces/default/apis/my-api/versions/v1/definitions/openapi",
            state=DeploymentState.ACTIVE,
            server={"runtime_uri": ["https://api.example.com"]},
        )
    ),
)

Define Custom Metadata

from azure.mgmt.apicenter.models import MetadataSchema, MetadataSchemaProperties

metadata = client.metadata_schemas.create_or_update(
    resource_group_name="my-resource-group",
    service_name="my-api-center",
    metadata_schema_name="data-classification",
    resource=MetadataSchema(
        properties=MetadataSchemaProperties(
            schema='{"type": "string", "title": "Data Classification", "enum": ["public", "internal", "confidential"]}'
        )
    ),
)

Client Types

Client Purpose
ApiCenterMgmtClient Main client for all operations

Operations

Operation Group Purpose
services API Center service management
workspaces Workspace management
apis API registration and management
api_versions API version management
api_definitions API definition management
deployments Deployment tracking
environments Environment management
metadata_schemas Custom metadata definitions

Best Practices

  1. Pick sync OR async and stay consistent. Do not mix azure.xxx sync clients with azure.xxx.aio async clients in the same call path. Choose one mode per module.
  2. Always use context managers for clients and async credentials. Wrap every client in with Client(...) as client: (sync) or async with Client(...) as client: (async). For async DefaultAzureCredential from azure.identity.aio, also use async with credential: so tokens and transports are cleaned up.
  3. Use workspaces to organize APIs by team or domain
  4. Define metadata schemas for consistent governance
  5. Track deployments to understand where APIs are running
  6. Import specifications to enable API analysis and linting
  7. Use lifecycle stages to track API maturity
  8. Add contacts for API ownership and support

Reference Files

File Contents
references/capabilities.md Additional non-hero capabilities, operation-group coverage, and production checklists.
references/non-hero-scenarios.md Dedicated non-hero examples for secondary/advanced scenarios.
Files (skills)
  • references
    • capabilities.md 2.1 KB
      # azure-mgmt-apicenter-py capability coverage
      
      **SDK/package**: `azure-mgmt-apicenter`
      
      This index maps hero scenarios in `SKILL.md` and links non-hero scenarios documented in dedicated reference files.
      
      ## Hero scenarios covered in SKILL.md
      
      - `Create API Center`
      - `List API Centers`
      - `Register an API`
      - `Create API Version`
      
      ## Non-hero scenarios
      
      - `Add API Definition`: Dedicated example and implementation notes.  
        See: [`non-hero-scenarios.md#add-api-definition`](non-hero-scenarios.md#add-api-definition)
      - `Import API Specification`: Dedicated example and implementation notes.  
        See: [`non-hero-scenarios.md#import-api-specification`](non-hero-scenarios.md#import-api-specification)
      - `List APIs`: Dedicated example and implementation notes.  
        See: [`non-hero-scenarios.md#list-apis`](non-hero-scenarios.md#list-apis)
      - `Create Environment`: Dedicated example and implementation notes.  
        See: [`non-hero-scenarios.md#create-environment`](non-hero-scenarios.md#create-environment)
      - `Create Deployment`: Dedicated example and implementation notes.  
        See: [`non-hero-scenarios.md#create-deployment`](non-hero-scenarios.md#create-deployment)
      - `Define Custom Metadata`: Dedicated example and implementation notes.  
        See: [`non-hero-scenarios.md#define-custom-metadata`](non-hero-scenarios.md#define-custom-metadata)
      - `Client Types`: | Client | Purpose |  
        See: [`non-hero-scenarios.md#client-types`](non-hero-scenarios.md#client-types)
      - `Operations`: | Operation Group | Purpose |  
        See: [`non-hero-scenarios.md#operations`](non-hero-scenarios.md#operations)
      
      ## Related deep-dive references
      
      - [`non-hero-scenarios.md`](non-hero-scenarios.md): Dedicated non-hero examples and implementation notes.
      
      ## API breadth checklist
      
      - Verify client/auth mode for the environment before coding.
      - Confirm operation-group/method names against current Microsoft Learn API reference.
      - For Python SDKs with both sync and async clients, document both forms without a blanket preference.
      - Include cleanup/delete paths for created resources in examples.
      - Prefer idempotent create/update operations where available.
      - Validate paging/LRO/error-handling patterns for production paths.
      
    • non-hero-scenarios.md 4 KB
      # azure-mgmt-apicenter-py non-hero scenarios
      
      These scenarios are intentionally separate from hero flows in `SKILL.md`.
      They cover secondary/advanced patterns typically used after the primary end-to-end path is working.
      
      ## Add API Definition
      
      ```python
      from azure.mgmt.apicenter.models import ApiDefinition, ApiDefinitionProperties
      
      definition = client.api_definitions.create_or_update(
          resource_group_name="my-resource-group",
          service_name="my-api-center",
          workspace_name="default",
          api_name="my-api",
          version_name="v1",
          definition_name="openapi",
          resource=ApiDefinition(
              properties=ApiDefinitionProperties(
                  title="OpenAPI Definition",
                  description="OpenAPI 3.0 specification",
              )
          ),
      )
      ```
      
      ## Import API Specification
      
      ```python
      from azure.mgmt.apicenter.models import ApiSpecImportRequest, ApiSpecImportSourceFormat
      
      # Import from inline content
      client.api_definitions.begin_import_specification(
          resource_group_name="my-resource-group",
          service_name="my-api-center",
          workspace_name="default",
          api_name="my-api",
          version_name="v1",
          definition_name="openapi",
          body=ApiSpecImportRequest(
              format=ApiSpecImportSourceFormat.INLINE,
              value='{"openapi": "3.0.0", "info": {"title": "My API", "version": "1.0"}, "paths": {}}',
          )
      ).result()
      ```
      
      ## List APIs
      
      ```python
      apis = client.apis.list(
          resource_group_name="my-resource-group",
          service_name="my-api-center",
          workspace_name="default"
      )
      
      for api in apis:
          print(f"{api.name}: {api.properties.title} ({api.properties.kind})")
      ```
      
      ## Create Environment
      
      ```python
      from azure.mgmt.apicenter.models import Environment, EnvironmentKind, EnvironmentProperties
      
      environment = client.environments.create_or_update(
          resource_group_name="my-resource-group",
          service_name="my-api-center",
          workspace_name="default",
          environment_name="production",
          resource=Environment(
              properties=EnvironmentProperties(
                  title="Production",
                  description="Production environment",
                  kind=EnvironmentKind.PRODUCTION,
                  server={"type": "Azure API Management", "management_portal_uri": ["https://portal.azure.com"]},
              )
          ),
      )
      ```
      
      ## Create Deployment
      
      ```python
      from azure.mgmt.apicenter.models import Deployment, DeploymentProperties, DeploymentState
      
      deployment = client.deployments.create_or_update(
          resource_group_name="my-resource-group",
          service_name="my-api-center",
          workspace_name="default",
          api_name="my-api",
          deployment_name="prod-deployment",
          resource=Deployment(
              properties=DeploymentProperties(
                  title="Production Deployment",
                  description="Deployed to production APIM",
                  environment_id="/workspaces/default/environments/production",
                  definition_id="/workspaces/default/apis/my-api/versions/v1/definitions/openapi",
                  state=DeploymentState.ACTIVE,
                  server={"runtime_uri": ["https://api.example.com"]},
              )
          ),
      )
      ```
      
      ## Define Custom Metadata
      
      ```python
      from azure.mgmt.apicenter.models import MetadataSchema, MetadataSchemaProperties
      
      metadata = client.metadata_schemas.create_or_update(
          resource_group_name="my-resource-group",
          service_name="my-api-center",
          metadata_schema_name="data-classification",
          resource=MetadataSchema(
              properties=MetadataSchemaProperties(
                  schema='{"type": "string", "title": "Data Classification", "enum": ["public", "internal", "confidential"]}'
              )
          ),
      )
      ```
      
      ## Client Types
      
      | Client | Purpose |
      |--------|---------|
      | `ApiCenterMgmtClient` | Main client for all operations |
      
      ## Operations
      
      | Operation Group | Purpose |
      |----------------|---------|
      | `services` | API Center service management |
      | `workspaces` | Workspace management |
      | `apis` | API registration and management |
      | `api_versions` | API version management |
      | `api_definitions` | API definition management |
      | `deployments` | Deployment tracking |
      | `environments` | Environment management |
      | `metadata_schemas` | Custom metadata definitions |
      
  • SKILL.md 9.2 KB
    ---
    name: azure-mgmt-apicenter-py
    description: |
      Azure API Center Management SDK for Python. Use for managing API inventory, metadata, and governance across your organization.
      Triggers: "azure-mgmt-apicenter", "ApiCenterMgmtClient", "API Center", "API inventory", "API governance".
    license: MIT
    metadata:
      author: Microsoft
      version: "1.0.0"
      package: azure-mgmt-apicenter
    ---
    
    # Azure API Center Management SDK for Python
    
    Manage API inventory, metadata, and governance in Azure API Center.
    
    ## Installation
    
    ```bash
    pip install azure-mgmt-apicenter
    pip install azure-identity
    ```
    
    ## Environment Variables
    
    ```bash
    AZURE_SUBSCRIPTION_ID=your-subscription-id  # Required for all auth methods
    AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production
    ```
    
    ## Authentication & Lifecycle
    
    > **🔑 Two rules apply to every code sample below:**
    >
    > 1. **Prefer `DefaultAzureCredential`.** It works locally (Azure CLI / VS Code / Developer CLI) and in Azure (managed identity, workload identity) with no code change. Avoid connection strings, account/API keys — they bypass Entra audit and rotation.
    >    - Local dev: `DefaultAzureCredential` works as-is.
    >    - Production: set `AZURE_TOKEN_CREDENTIALS=prod` (or `AZURE_TOKEN_CREDENTIALS=<specific_credential>`) to constrain the credential chain to production-safe credentials.
    > 2. **Wrap every client in a context manager** so HTTP transports, sockets, and token caches are released deterministically:
    >    - Sync: `with <Client>(...) as client:`
    >    - Async: `async with <Client>(...) as client:` **and** `async with DefaultAzureCredential() as credential:` (from `azure.identity.aio`)
    >
    > Snippets may abbreviate this setup, but production code should always follow both rules.
    
    ```python
    from azure.identity import DefaultAzureCredential, ManagedIdentityCredential
    from azure.mgmt.apicenter import ApiCenterMgmtClient
    import os
    
    # Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
    credential = DefaultAzureCredential(require_envvar=True)
    # Or use a specific credential directly in production:
    # See https://learn.microsoft.com/python/api/overview/azure/identity-readme?view=azure-python#credential-classes
    # credential = ManagedIdentityCredential()
    
    with ApiCenterMgmtClient(
        credential=credential,
        subscription_id=os.environ["AZURE_SUBSCRIPTION_ID"]
    ) as client:
        # Use `client` for all subsequent operations (see examples below)
        ...
    ```
    
    ## Create API Center
    
    ```python
    from azure.mgmt.apicenter.models import Service
    
    api_center = client.services.create_or_update(
        resource_group_name="my-resource-group",
        service_name="my-api-center",
        resource=Service(
            location="eastus",
            tags={"environment": "production"}
        )
    )
    
    print(f"Created API Center: {api_center.name}")
    ```
    
    ## List API Centers
    
    ```python
    api_centers = client.services.list_by_subscription()
    
    for api_center in api_centers:
        print(f"{api_center.name} - {api_center.location}")
    ```
    
    ## Register an API
    
    ```python
    from azure.mgmt.apicenter.models import Api, ApiKind, ApiProperties
    
    api = client.apis.create_or_update(
        resource_group_name="my-resource-group",
        service_name="my-api-center",
        workspace_name="default",
        api_name="my-api",
        resource=Api(
            properties=ApiProperties(
                title="My API",
                description="A sample API for demonstration",
                kind=ApiKind.REST,
                terms_of_service={"url": "https://example.com/terms"},
                contacts=[{"name": "API Team", "email": "api-team@example.com"}],
            )
        ),
    )
    
    print(f"Registered API: {api.properties.title}")
    ```
    
    ## Create API Version
    
    ```python
    from azure.mgmt.apicenter.models import ApiVersion, ApiVersionProperties, LifecycleStage
    
    version = client.api_versions.create_or_update(
        resource_group_name="my-resource-group",
        service_name="my-api-center",
        workspace_name="default",
        api_name="my-api",
        version_name="v1",
        resource=ApiVersion(
            properties=ApiVersionProperties(
                title="Version 1.0",
                lifecycle_stage=LifecycleStage.PRODUCTION,
            )
        ),
    )
    
    print(f"Created version: {version.properties.title}")
    ```
    
    ## Add API Definition
    
    ```python
    from azure.mgmt.apicenter.models import ApiDefinition, ApiDefinitionProperties
    
    definition = client.api_definitions.create_or_update(
        resource_group_name="my-resource-group",
        service_name="my-api-center",
        workspace_name="default",
        api_name="my-api",
        version_name="v1",
        definition_name="openapi",
        resource=ApiDefinition(
            properties=ApiDefinitionProperties(
                title="OpenAPI Definition",
                description="OpenAPI 3.0 specification",
            )
        ),
    )
    ```
    
    ## Import API Specification
    
    ```python
    from azure.mgmt.apicenter.models import ApiSpecImportRequest, ApiSpecImportSourceFormat
    
    # Import from inline content
    client.api_definitions.begin_import_specification(
        resource_group_name="my-resource-group",
        service_name="my-api-center",
        workspace_name="default",
        api_name="my-api",
        version_name="v1",
        definition_name="openapi",
        body=ApiSpecImportRequest(
            format=ApiSpecImportSourceFormat.INLINE,
            value='{"openapi": "3.0.0", "info": {"title": "My API", "version": "1.0"}, "paths": {}}',
        )
    ).result()
    ```
    
    ## List APIs
    
    ```python
    apis = client.apis.list(
        resource_group_name="my-resource-group",
        service_name="my-api-center",
        workspace_name="default"
    )
    
    for api in apis:
        print(f"{api.name}: {api.title} ({api.kind})")
    ```
    
    ## Create Environment
    
    ```python
    from azure.mgmt.apicenter.models import Environment, EnvironmentKind, EnvironmentProperties
    
    environment = client.environments.create_or_update(
        resource_group_name="my-resource-group",
        service_name="my-api-center",
        workspace_name="default",
        environment_name="production",
        resource=Environment(
            properties=EnvironmentProperties(
                title="Production",
                description="Production environment",
                kind=EnvironmentKind.PRODUCTION,
                server={"type": "Azure API Management", "management_portal_uri": ["https://portal.azure.com"]},
            )
        ),
    )
    ```
    
    ## Create Deployment
    
    ```python
    from azure.mgmt.apicenter.models import Deployment, DeploymentProperties, DeploymentState
    
    deployment = client.deployments.create_or_update(
        resource_group_name="my-resource-group",
        service_name="my-api-center",
        workspace_name="default",
        api_name="my-api",
        deployment_name="prod-deployment",
        resource=Deployment(
            properties=DeploymentProperties(
                title="Production Deployment",
                description="Deployed to production APIM",
                environment_id="/workspaces/default/environments/production",
                definition_id="/workspaces/default/apis/my-api/versions/v1/definitions/openapi",
                state=DeploymentState.ACTIVE,
                server={"runtime_uri": ["https://api.example.com"]},
            )
        ),
    )
    ```
    
    ## Define Custom Metadata
    
    ```python
    from azure.mgmt.apicenter.models import MetadataSchema, MetadataSchemaProperties
    
    metadata = client.metadata_schemas.create_or_update(
        resource_group_name="my-resource-group",
        service_name="my-api-center",
        metadata_schema_name="data-classification",
        resource=MetadataSchema(
            properties=MetadataSchemaProperties(
                schema='{"type": "string", "title": "Data Classification", "enum": ["public", "internal", "confidential"]}'
            )
        ),
    )
    ```
    
    ## Client Types
    
    | Client | Purpose |
    |--------|---------|
    | `ApiCenterMgmtClient` | Main client for all operations |
    
    ## Operations
    
    | Operation Group | Purpose |
    |----------------|---------|
    | `services` | API Center service management |
    | `workspaces` | Workspace management |
    | `apis` | API registration and management |
    | `api_versions` | API version management |
    | `api_definitions` | API definition management |
    | `deployments` | Deployment tracking |
    | `environments` | Environment management |
    | `metadata_schemas` | Custom metadata definitions |
    
    ## Best Practices
    
    1. **Pick sync OR async and stay consistent.** Do not mix `azure.xxx` sync clients with `azure.xxx.aio` async clients in the same call path. Choose one mode per module.
    2. **Always use context managers for clients and async credentials.** Wrap every client in `with Client(...) as client:` (sync) or `async with Client(...) as client:` (async). For async `DefaultAzureCredential` from `azure.identity.aio`, also use `async with credential:` so tokens and transports are cleaned up.
    3. **Use workspaces** to organize APIs by team or domain
    4. **Define metadata schemas** for consistent governance
    5. **Track deployments** to understand where APIs are running
    6. **Import specifications** to enable API analysis and linting
    7. **Use lifecycle stages** to track API maturity
    8. **Add contacts** for API ownership and support
    
    ## Reference Files
    
    | File | Contents |
    |------|----------|
    | [references/capabilities.md](references/capabilities.md) | Additional non-hero capabilities, operation-group coverage, and production checklists. |
    | [references/non-hero-scenarios.md](references/non-hero-scenarios.md) | Dedicated non-hero examples for secondary/advanced scenarios. |
    

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