Azure API Management SDK for Python
Manage Azure API Management services, APIs, products, and policies.
Installation
pip install azure-mgmt-apimanagement
pip install azure-identity
Environment Variables
AZURE_SUBSCRIPTION_ID=your-subscription-id
Authentication
from azure.identity import DefaultAzureCredential
from azure.mgmt.apimanagement import ApiManagementClient
import os
client = ApiManagementClient(
credential=DefaultAzureCredential(),
subscription_id=os.environ["AZURE_SUBSCRIPTION_ID"]
)
Create APIM Service
from azure.mgmt.apimanagement.models import (
ApiManagementServiceResource,
ApiManagementServiceSkuProperties,
SkuType
)
service = client.api_management_service.begin_create_or_update(
resource_group_name="my-resource-group",
service_name="my-apim",
parameters=ApiManagementServiceResource(
location="eastus",
publisher_email="[email protected]",
publisher_name="My Organization",
sku=ApiManagementServiceSkuProperties(
name=SkuType.DEVELOPER,
capacity=1
)
)
).result()
print(f"Created APIM: {service.name}")
Import API from OpenAPI
from azure.mgmt.apimanagement.models import (
ApiCreateOrUpdateParameter,
ContentFormat,
Protocol
)
api = client.api.begin_create_or_update(
resource_group_name="my-resource-group",
service_name="my-apim",
api_id="my-api",
parameters=ApiCreateOrUpdateParameter(
display_name="My API",
path="myapi",
protocols=[Protocol.HTTPS],
format=ContentFormat.OPENAPI_JSON,
value='{"openapi": "3.0.0", "info": {"title": "My API", "version": "1.0"}, "paths": {"/health": {"get": {"responses": {"200": {"description": "OK"}}}}}}'
)
).result()
print(f"Imported API: {api.display_name}")
Import API from URL
api = client.api.begin_create_or_update(
resource_group_name="my-resource-group",
service_name="my-apim",
api_id="petstore",
parameters=ApiCreateOrUpdateParameter(
display_name="Petstore API",
path="petstore",
protocols=[Protocol.HTTPS],
format=ContentFormat.OPENAPI_LINK,
value="https://petstore.swagger.io/v2/swagger.json"
)
).result()
List APIs
apis = client.api.list_by_service(
resource_group_name="my-resource-group",
service_name="my-apim"
)
for api in apis:
print(f"{api.name}: {api.display_name} - {api.path}")
Create Product
from azure.mgmt.apimanagement.models import ProductContract
product = client.product.create_or_update(
resource_group_name="my-resource-group",
service_name="my-apim",
product_id="premium",
parameters=ProductContract(
display_name="Premium",
description="Premium tier with unlimited access",
subscription_required=True,
approval_required=False,
state="published"
)
)
print(f"Created product: {product.display_name}")
Add API to Product
client.product_api.create_or_update(
resource_group_name="my-resource-group",
service_name="my-apim",
product_id="premium",
api_id="my-api"
)
Create Subscription
from azure.mgmt.apimanagement.models import SubscriptionCreateParameters
subscription = client.subscription.create_or_update(
resource_group_name="my-resource-group",
service_name="my-apim",
sid="my-subscription",
parameters=SubscriptionCreateParameters(
display_name="My Subscription",
scope=f"/products/premium",
state="active"
)
)
print(f"Subscription key: {subscription.primary_key}")
Set API Policy
from azure.mgmt.apimanagement.models import PolicyContract
policy_xml = """
<policies>
<inbound>
<rate-limit calls="100" renewal-period="60" />
<set-header name="X-Custom-Header" exists-action="override">
<value>CustomValue</value>
</set-header>
</inbound>
<backend>
<forward-request />
</backend>
<outbound />
<on-error />
</policies>
"""
client.api_policy.create_or_update(
resource_group_name="my-resource-group",
service_name="my-apim",
api_id="my-api",
policy_id="policy",
parameters=PolicyContract(
value=policy_xml,
format="xml"
)
)
Create Named Value (Secret)
from azure.mgmt.apimanagement.models import NamedValueCreateContract
named_value = client.named_value.begin_create_or_update(
resource_group_name="my-resource-group",
service_name="my-apim",
named_value_id="backend-api-key",
parameters=NamedValueCreateContract(
display_name="Backend API Key",
value="secret-key-value",
secret=True
)
).result()
Create Backend
from azure.mgmt.apimanagement.models import BackendContract
backend = client.backend.create_or_update(
resource_group_name="my-resource-group",
service_name="my-apim",
backend_id="my-backend",
parameters=BackendContract(
url="https://api.backend.example.com",
protocol="http",
description="My backend service"
)
)
Create User
from azure.mgmt.apimanagement.models import UserCreateParameters
user = client.user.create_or_update(
resource_group_name="my-resource-group",
service_name="my-apim",
user_id="newuser",
parameters=UserCreateParameters(
email="[email protected]",
first_name="John",
last_name="Doe"
)
)
Operation Groups
| Group | Purpose |
api_management_service | APIM instance management |
api | API operations |
api_operation | API operation details |
api_policy | API-level policies |
product | Product management |
product_api | Product-API associations |
subscription | Subscription management |
user | User management |
named_value | Named values/secrets |
backend | Backend services |
certificate | Certificates |
gateway | Self-hosted gateways |
Best Practices
- Use named values for secrets and configuration
- Apply policies at appropriate scopes (global, product, API, operation)
- Use products to bundle APIs and manage access
- Enable Application Insights for monitoring
- Use backends to abstract backend services
- Version your APIs using APIM's versioning features
Skill Information
- Source
- Microsoft
- Category
- Cloud & Azure
- Repository
- View on GitHub
Related Skills
agent-framework-azure-ai-py
Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implementing streaming responses. Covers function tools, structured outputs, and multi-tool agents.
Microsoftazd-deployment
Deploy containerized applications to Azure Container Apps using Azure Developer CLI (azd). Use when setting up azd projects, writing azure.yaml configuration, creating Bicep infrastructure for Container Apps, configuring remote builds with ACR, implementing idempotent deployments, managing environment variables across local/.azure/Bicep, or troubleshooting azd up failures. Triggers on requests for azd configuration, Container Apps deployment, multi-service deployments, and infrastructure-as-code with Bicep.
Microsoftazure-ai-agents-persistent-dotnet
Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Use for agent CRUD, conversation threads, streaming responses, function calling, file search, and code interpreter. Triggers: "PersistentAgentsClient", "persistent agents", "agent threads", "agent runs", "streaming agents", "function calling agents .NET".
Microsoftazure-ai-agents-persistent-java
Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Triggers: "PersistentAgentsClient", "persistent agents java", "agent threads java", "agent runs java", "streaming agents java".
Microsoftazure-ai-anomalydetector-java
Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.
Microsoft