pydantic-settings-azure-app-configuration
Azure App Configuration setting source for pydantic-settings
Decision gist · record as of 2026-08-14
Yes, if you are already committed to Azure and pydantic-settings. The package has low install friction and no known vulnerabilities. However, the aging maintenance status and unclear license pose moderate risk for production use. Verify the license explicitly and assess whether the limited community support is acceptable for your deployment model.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >=3.11; Azure credentials and AZURE_APP_CONFIGURATION_URL environment variable must be configured.
- Low install friction with a pure-Python wheel.
- Maintenance status is aging—last commit was 2025-09-09 with only 3 stars, suggesting limited community adoption and uncertain long-term support.
License · maintenance · safety
(unclear) — License treatment is unclear; no SPDX identifier or raw license text is declared in the package metadata. Verify the actual license before using in proprietary or GPL-sensitive contexts.
last release 2025-09-09 (339 days) · last repo commit 2025-09-09 · 3 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 387,423 downloads/mo, #7,044 on PyPI
Alternatives
Verify before relying
from azure.identity import DefaultAzureCredential
from pydantic_settings import BaseSettings
from pydantic_settings_azure_app_configuration.source import AzureAppConfigurationSettingsSource
class MySettings(BaseSettings):
api_key: str
@classmethod
def settings_customise_sources(cls, settings_cls, init_settings, env_settings, dotenv_settings, file_secret_settings):
credential = DefaultAzureCredential()
azure_source = AzureAppConfigurationSettingsSource(settings_cls, lambda opts: opts.connect_with_url(os.environ["AZURE_APP_CONFIGURATION_URL"], credential))
return (init_settings, env_settings, dotenv_settings, file_secret_settings, azure_source)- Whether the package is actively maintained or in maintenance-only mode given the aging status and low star count.
- The actual license under which the package is distributed, since metadata declares none.
What it is and what it does
This package integrates Azure App Configuration and Azure Key Vault with pydantic-settings, allowing you to define application settings as pydantic models and populate them directly from Azure services. It acts as a custom settings source that plugs into pydantic-settings' `settings_customise_sources` hook, so configuration values flow into your BaseSettings classes alongside environment variables and other sources.
The package supports filtering configuration by key prefix, trimming that prefix from resulting field names, and transparently resolving references to secrets stored in Key Vault. It requires Azure credentials and supports nested models through a configurable delimiter.
Use it for
- Centralize application configuration in Azure App Configuration while keeping pydantic validation and type safety.
- Retrieve database passwords and API keys from Azure Key Vault without hardcoding or managing separate secret files.
- Multi-tenant or multi-environment deployments where different instances load config by key prefix from a shared store.
- Migrate from environment-variable-based config to a managed Azure service while preserving pydantic's nested model patterns.
- Use Entra ID role-based access control to secure config access without shared credentials.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are already committed to Azure and pydantic-settings.
The package has low install friction and no known vulnerabilities. However, the aging maintenance status and unclear license pose moderate risk for production use. Verify the license explicitly and assess whether the limited community support is acceptable for your deployment model.
Install
pydantic-settings-azure-app-configuration on PyPI
Before you install
Low install friction with a pure-Python wheel. Maintenance status is aging—last commit was 2025-09-09 with only 3 stars, suggesting limited community adoption and uncertain long-term support.
Requires Python >=3.11; Azure credentials and AZURE_APP_CONFIGURATION_URL environment variable must be configured.
License in practice
License treatment is unclear; no SPDX identifier or raw license text is declared in the package metadata. Verify the actual license before using in proprietary or GPL-sensitive contexts.
Quickstart
from azure.identity import DefaultAzureCredential
from pydantic_settings import BaseSettings
from pydantic_settings_azure_app_configuration.source import AzureAppConfigurationSettingsSource
class MySettings(BaseSettings):
api_key: str
@classmethod
def settings_customise_sources(cls, settings_cls, init_settings, env_settings, dotenv_settings, file_secret_settings):
credential = DefaultAzureCredential()
azure_source = AzureAppConfigurationSettingsSource(settings_cls, lambda opts: opts.connect_with_url(os.environ["AZURE_APP_CONFIGURATION_URL"], credential))
return (init_settings, env_settings, dotenv_settings, file_secret_settings, azure_source)Verify before relying
- Whether the package is actively maintained or in maintenance-only mode given the aging status and low star count.
- The actual license under which the package is distributed, since metadata declares none.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagespydanticpydantic-settingsazure-appconfigurationazure-keyvault-secretsazure-identity |
| Maintenance | Aging 339 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 387,423 / month, #7,044 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: pydantic_settings_azure_app_configuration-1.1.0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “azure app configuration pydantic”
- pydantic-settings-azure-app-configurationLoads application configuration and secrets from Azure App…
- azure-mgmt-appconfigurationManages Azure App Configuration resources (stores, key-values,…
- azure-appconfigurationProvides a Python client to create, retrieve, update, and delete…
Give your agent the search over MCP, or paste the wish link into any chat.
More Application Frameworks packages
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Textual is a Python framework for building cross-platform user interfaces that run in the terminal or web browser using a modern, component-based API.
Install it if you're developing CLI tools, dashboards, or interactive terminal applications.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Build and connect to Model Context Protocol servers that expose tools, resources, and prompts to LLM applications over stdio, HTTP, or SSE transports.
Install it if you need to build or connect to servers.
Werkzeug is a WSGI utility library providing request/response objects, URL routing, an interactive debugger, HTTP utilities, and a development server for building web applications.
See also pydantic-settings · azure-appconfiguration-provider · azure-keyvault-secrets · azure-keyvault-keys · azure-keyvault-administration · dynaconf · azure-keyvault-certificates · azure-keyvault-securitydomain · azure-keyvault · azure-mgmt-keyvault