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Azure App Configuration SDK for Python.
Passed 22 of 22 test cases with the skill, and 15 of 22 without it.
and 8 more in the full report
7 fixed15 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
Provide a Python snippet that locks an existing setting object in Azure App Configuration so that it cannot be modified accidentally.
| Checked | Without skill | With skill |
|---|---|---|
| Calls set_read_only with read_only=True on the configuration client. | Missed | Passed |
The instructions your model reads when the skill loads.
Centralized configuration management with feature flags and dynamic settings.
pip install azure-appconfiguration
AZURE_APPCONFIGURATION_ENDPOINT=https://<name>.azconfig.io # Required for Entra ID auth
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production
🔑 Two rules apply to every code sample below:
- 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:
DefaultAzureCredentialworks as-is.- Production: set
AZURE_TOKEN_CREDENTIALS=prod(orAZURE_TOKEN_CREDENTIALS=<specific_credential>) to constrain the credential chain to production-safe credentials.- 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:andasync with DefaultAzureCredential() as credential:(fromazure.identity.aio)Snippets may abbreviate this setup, but production code should always follow both rules.
import os
from azure.appconfiguration import AzureAppConfigurationClient
from azure.identity import DefaultAzureCredential, ManagedIdentityCredential
# 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()
test cases passed, vs 15 / 22 without
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