About azure-appconfiguration-py
azure-appconfiguration-py is a Python SDK for managing centralized application settings and feature flags in Azure App Configuration. It supports labeled and filtered settings, read-only controls, snapshots, and synchronous or asynchronous clients for application developers.
Key features
- 01Read and update configuration settings
- 02Filter settings by key or label
- 03Manage feature flags
- 04Set settings to read-only
- 05Create and list snapshots
- 06Sync and async clients
Use cases
- 01Separating settings by environment labels
- 02Retrieving a subset of application settings
- 03Managing feature flag state
- 04Capturing configuration snapshots before deployments
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ sickn33/ agentic-awesome-skills --skill azure-appconfiguration-pyAfter installing, type/azure-appconfiguration-pyin Claude Code to confirm it loaded.
Details
From the project READMEAzure App Configuration SDK for Python
Centralized configuration management with feature flags and dynamic settings.
Installation
pip install azure-appconfiguration
Environment Variables
AZURE_APPCONFIGURATION_CONNECTION_STRING=Endpoint=https://<name>.azconfig.io;Id=...;Secret=...
# Or for Entra ID:
AZURE_APPCONFIGURATION_ENDPOINT=https://<name>.azconfig.io
Authentication
Connection String
import os
from azure.appconfiguration import AzureAppConfigurationClient
client = AzureAppConfigurationClient.from_connection_string(
os.environ["AZURE_APPCONFIGURATION_CONNECTION_STRING"]
)
Entra ID
from azure.appconfiguration import AzureAppConfigurationClient
from azure.identity import DefaultAzureCredential
client = AzureAppConfigurationClient(
base_url=os.environ["AZURE_APPCONFIGURATION_ENDPOINT"],
credential=DefaultAzureCredential()
)
Examples are independent fragments requiring azure-identity for Entra auth and project endpoint variables. Confirm store/label/key and read the current ETag before replacement/deletion; use appropriate match conditions for concurrent edits. Feature flag changes affect real users, and unlocking a setting is a separate privileged change. Use approved synthetic values, minimize listing scope, keep credentials/value payloads out of logs, and close both async credential/client on failure. Snapshots need actual creation status and tested restore procedure; schema-valid flags do not themselves implement gradual rollout or an A/B experiment.
Configuration Settings
Get Setting
setting = client.get_configuration_setting(key="app:settings:message")
print(f"Read setting: {setting.key}") # Do not log secret-bearing values
Get with Label
# Labels allow environment-specific values
setting = client.get_configuration_setting(
key="app:settings:message",
label="production"
)
Set Setting
from azure.appconfiguration import ConfigurationSetting
setting = ConfigurationSetting(
key="app:settings:message",
value="Hello, World!",
label="development",
content_type="text/plain",
tags={"environment": "dev"}
)
client.set_configuration_setting(setting)
Delete Setting
client.delete_configuration_setting(
key="app:settings:message",
label="development"
)
List Settings
All Settings
settings = client.list_configuration_settings()
for setting in settings:
print(f"{setting.key} [{setting.label}]") # Values may be sensitive
Filter by Key Prefix
settings = client.list_configuration_settings(
key_filter="app:settings:*"
)
Filter by Label
settings = client.list_configuration_settings(
label_filter="production"
)
Feature Flags
Set Feature Flag
from azure.appconfiguration import ConfigurationSetting
import json
feature_flag = ConfigurationSetting(
key=".appconfig.featureflag/beta-feature",
value=json.dumps({
"id": "beta-feature",
"enabled": True,
"conditions": {
"client_filters": []
}
}),
content_type="application/vnd.microsoft.appconfig.ff+json;charset=utf-8"
)
client.set_configuration_setting(feature_flag)
Get Feature Flag
setting = client.get_configuration_setting(
key=".appconfig.featureflag/beta-feature"
)
flag_data = json.loads(setting.value)
print(f"Feature enabled: {flag_data['enabled']}")
List Feature Flags
flags = client.list_configuration_settings(
key_filter=".appconfig.featureflag/*"
)
for flag in flags:
data = json.loads(flag.value)
print(f"{data['id']}: {'enabled' if data['enabled'] else 'disabled'}")
Read-Only Settings
# Make setting read-only
client.set_read_only(
configuration_setting=setting,
read_only=True
)
# Remove read-only
client.set_read_only(
configuration_setting=setting,
read_only=False
)
Snapshots
Create Snapshot
from azure.appconfiguration import ConfigurationSnapshot, ConfigurationSettingsFilter
snapshot = ConfigurationSnapshot(
filters=[
ConfigurationSettingsFilter(key="app:*", label="production")
]
)
created = client.begin_create_snapshot(
name="v1-snapshot",
filters=snapshot.filters
).result()
List Snapshot Settings
settings = client.list_configuration_settings(
snapshot_name="v1-snapshot"
)
Async Client
from azure.appconfiguration.aio import AzureAppConfigurationClient
from azure.identity.aio import DefaultAzureCredential
async def main():
credential = DefaultAzureCredential()
client = AzureAppConfigurationClient(
base_url=endpoint,
credential=credential
)
setting = await client.get_configuration_setting(key="app:message")
# Consume the authorized value without logging it.
await client.close()
await credential.close()
Client Operations
| Operation | Description |
|---|---|
get_configuration_setting | Get single setting |
set_configuration_setting | Create or update setting |
delete_configuration_setting | Delete setting |
list_configuration_settings | List with filters |
set_read_only | Lock/unlock setting |
begin_create_snapshot | Create point-in-time snapshot |
list_snapshots | List all snapshots |
Best Practices
- Use labels for environment separation (dev, staging, prod)
- Use key prefixes for logical grouping (app:database:, app:cache:)
- Make production settings read-only to prevent accidental changes
- Create snapshots before deployments for rollback capability
- Use Entra ID instead of connection strings in production
- Refresh settings periodically in long-running applications
- Use feature flags for gradual rollouts and A/B testing
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.