Manage Azure API Center Resources with Python
Python SDK for Azure API Center that manages API inventory, metadata, versioning, deployments, and custom schemas.
Why it matters
Automate the management of your Azure API Center, including creating and updating APIs, versions, environments, and deployments, all through a Python SDK.
Outcomes
What it gets done
Create and manage API Centers and their services.
Register APIs, their versions, and definitions within API Center.
Track API deployments across different environments.
Define custom metadata schemas for API governance.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-azure-mgmt-apicenter-py | bash Capabilities
What this skill does
Runs build pipelines, tests, and deploys to environments.
Writes and executes SQL or NoSQL queries on databases.
Pulls structured data fields from unstructured text.
Overview
Azure API Center Management SDK for Python
What it does
Azure API Center Management SDK for Python
How it connects
Use this skill when you need to manage API inventory, register APIs with versions and definitions, track deployments to environments, or define custom metadata schemas in Azure API Center using Python.
Source README
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
Authentication
from azure.identity import DefaultAzureCredential
from azure.mgmt.apicenter import ApiCenterMgmtClient
import os
client = ApiCenterMgmtClient(
credential=DefaultAzureCredential(),
subscription_id=os.environ["AZURE_SUBSCRIPTION_ID"]
)
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, LifecycleStage
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(
title="My API",
description="A sample API for demonstration",
kind=ApiKind.REST,
lifecycle_stage=LifecycleStage.PRODUCTION,
terms_of_service={"url": "https://example.com/terms"},
contacts=[{"name": "API Team", "email": "api-team@example.com"}]
)
)
print(f"Registered API: {api.title}")
Create API Version
from azure.mgmt.apicenter.models import ApiVersion, 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(
title="Version 1.0",
lifecycle_stage=LifecycleStage.PRODUCTION
)
)
print(f"Created version: {version.title}")
Add API Definition
from azure.mgmt.apicenter.models import ApiDefinition
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(
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.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": {}}'
)
)
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
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(
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, 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(
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
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(
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
- Use workspaces to organize APIs by team or domain
- Define metadata schemas for consistent governance
- Track deployments to understand where APIs are running
- Import specifications to enable API analysis and linting
- Use lifecycle stages to track API maturity
- Add contacts for API ownership and support
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.
Discussion
Questions & comments · 0
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