Manage Azure API Center Resources with Python

This guide uses Azure API Center's Python management SDK to maintain an API inventory. It begins with an authenticated management client, then shows how to create a service, register an API, add a version and definition, and record the environments and deployments associated with that API. The purpose is to make API information discoverable and consistently described across an organization.

An API record includes a title, description, API kind, lifecycle stage, terms of service, and contact information. The example uses a REST API in production. Versions and definitions provide a more specific description of the interface: a definition can import an inline OpenAPI document through ApiSpecImportRequest with an inline import specification. This connects the inventory entry to a machine-readable specification rather than leaving it as a title alone.

Use the guide when building administrative Python scripts for API cataloging, inventory updates, or governance metadata. Workspaces can organize APIs by team or domain, while lifecycle stages and contacts make ownership and maturity visible. Listing operations support inspection of existing services and API records before making further updates.

Environment and deployment records describe where an API is available. The environment example identifies a production setting with API Management and portal information. A deployment record references an environment and an API definition and includes a runtime URI and active state. Creating that record tracks a deployment in the inventory; it should not be treated as evidence that an application was deployed or its runtime was tested.

Install the management and authentication packages before configuring credentials:

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

The client uses DefaultAzureCredential and an Azure subscription ID read from AZURE_SUBSCRIPTION_ID. Operations also need the relevant resource group, service, workspace, and record identifiers. The examples supply locations and tags for services, descriptive fields for APIs, an OpenAPI 3.0.0 specification for a definition, and references linking deployment records to their environment and definition.

Outputs are managed inventory resources and lists of existing records. The operation groups include services, workspaces, APIs, API versions, API definitions, deployments, environments, and metadata schemas. A metadata schema example defines a classification field with public, internal, and confidential values. Consistent schemas help teams use comparable governance fields instead of inventing different labels for every API.

The recommended workflow keeps metadata consistent, maintains lifecycle and contact information, imports specifications to support analysis and linting, and records where APIs are deployed. Verify environment-specific values and test changes in an appropriate environment. Missing details should be clarified rather than filled with guessed resource identifiers or deployment information.