Overview
Lightning-fast, strongly typed, and zero boilerplate settings library for Python:
- Great defaults from day one: It automatically looks for settings files and environment variables, with recommended configurations and one line of code.
- Rust-powered core: Built with Rust under the hood for speed, reliability, and low runtime overhead.
- Secret stores: Azure Key Vault, AWS Secrets Manager and GCP Secret Manager integrations are available with one line of code, with safe authentication.
- Pydantic models: Load your application settings directly into models.
- Automatic reloads: Keep settings up to date by automatically reloading them.
- A practical replacement: Replace
pydantic-settingsandpython-dotenvwith one unified settings library. - Roadmap: Planned capabilities include pluggable configuration stores, feature flags, lifetimes, prefixes, filters, custom delimiters and aliases.
Table of contents
- Overview
- Table of contents
- 📦 Installation
- ✨ Quickstart with fixed strings
- ✨ Quickstart with Pydantic models
- ✨ Quickstart with Pydantic models and Azure Key Vault
- All providers
- Configuration
- Reading settings
📦 Installation
uv add wirio-settings
✨ Quickstart with fixed strings
from wirio_settings import SettingsManager
settings_manager = SettingsManager()
database_password = settings_manager.get_required_value("database_password")
✨ Quickstart with Pydantic models
from pydantic import BaseModel
from wirio_settings import SettingsManager
class ApplicationSettings(BaseModel):
database_password: str
application_settings = SettingsManager().get_model(ApplicationSettings)
✨ Quickstart with Pydantic models and Azure Key Vault
from pydantic import BaseModel
from wirio_settings import SettingsManager
class ApplicationSettings(BaseModel):
database_password: str
application_settings = (
SettingsManager()
.add_azure_key_vault("https://example.vault.azure.net/")
.get_model(ApplicationSettings)
)
All providers
YAML file
settings_manager.add_yaml_file("file.yaml")
Comments are supported in YAML files.
Options:
optional=Trueskips the file if it is missing. The file is required by default.reload_on_change=Truereloads values when the file changes.
JSON file
settings_manager.add_json_file("file.json")
Comments are not supported in JSON files.
Options:
optional=Trueskips the file if it is missing. The file is required by default.reload_on_change=Truereloads values when the file changes.
Environment variables
settings_manager.add_environment_variables()
Azure Key Vault
settings_manager.add_azure_key_vault(
"https://example.vault.azure.net",
)
If no explicit credentials are provided, DefaultAzureCredential is used.
DefaultAzureCredential tries credentials in this order and uses the first one that succeeds:
- Environment credential (
AZURE_CLIENT_ID,AZURE_CLIENT_SECRET,AZURE_TENANT_ID) - Workload identity credential
- Developer tools credential (Azure CLI / Azure Developer CLI)
- Managed identity credential. This is the System-assigned managed identity by default. If we want to use a User-assigned managed identity, set the
AZURE_CLIENT_IDenvironment variable.
If you want to use explicit service principal credentials, provide all three values:
settings_manager.add_azure_key_vault(
"https://example.vault.azure.net",
client_id="...",
client_secret="...",
tenant_id="...",
)
When using explicit credentials, tenant_id, client_id, and client_secret must all be provided.
[!NOTE] Azure permissions: Usually, the
Key Vault Secrets Userrole is used to read secrets.
To periodically refresh the loaded secrets, use the reload_interval parameter. The provider waits that long between refresh attempts and keeps the last successfully loaded settings if a refresh fails.
from datetime import timedelta
settings_manager.add_azure_key_vault(
"https://example.vault.azure.net",
reload_interval=timedelta(minutes=5),
)
AWS Secrets Manager
settings_manager.add_aws_secrets_manager(
"secret-id",
)
The secret value must be a JSON object. wirio-settings reads and flattens that JSON into settings keys.
By default, the provider uses the credential provider chain. For example, the IAM role, the shared AWS configuration profile, or AWS_* environment variables.
If explicit credentials are provided, they override environment authentication for this provider instance:
settings_manager.add_aws_secrets_manager(
secret_id="secret-id",
access_key_id="...",
secret_access_key="...",
)
GCP Secret Manager
settings_manager.add_gcp_secret_manager("project-id")
If no credentials are provided, Application Default Credentials (ADC) are used.
We can also pass custom GCP credentials with the credentials_json parameter.
Key-per-file directory
settings_manager.add_key_per_file("secrets")
Given a directory, each file name becomes a setting key and the file content becomes the setting value.
Options:
optional=Trueskips the directory if it is missing. The directory is required by default.reload_on_change=Truereloads values when directory contents change.
This provider is useful when secrets are mounted as files by the runtime instead of exposed as environment variables. It lets us keep application code unchanged while switching the secret delivery mechanism.
Common use cases:
- Kubernetes with Secrets Store CSI Driver where providers such as Azure Key Vault mount each secret as a file.
- Docker/Kubernetes secret mounts (for example,
/run/secrets). - Platform-managed secret volumes in production environments where file-based delivery is preferred.
Example directory:
secrets/
database_password
openai_api_key
Then values are available as database_password and openai_api_key.
Configuration
Provider priority
wirio-settings supports multiple providers. When the same key exists in multiple providers, the last added providers have more priority.
The following providers are loaded, by default, in this order:
settings.yamlsettings.{environment}.yaml.- Environment variables
Considerations:
-
Files are optional. If a file is not found, it's skipped.
-
{environment}is the value of theWIRIO_ENVIRONMENTenvironment variable. If the variable is not set, its value islocal. This would load, for example,settings.production.yamlifWIRIO_ENVIRONMENT=production. It standardizes the environment detection and allows us to store all settings in code, with version control. -
In the default settings, environment variables have higher priority than YAML files because the provider is added after them. This means that if a key exists in both
settings.yamland environment variables, the value from environment variables will be used. -
If we add more providers, those will have higher priority than the defaults. For example, if we add Azure Key Vault as a provider, it will override the defaults.
SettingsManager().add_azure_key_vault("https://example.vault.azure.net/")
Naming convention
Each provider (environment variables, YAML, Azure Key Vault...) has its own naming convention for keys. wirio-settings uses snake case for settings keys. When loading from providers, keys are normalized to snake case. For example, the APP_NAME environment variable maps to app_name.
Recommended usage
It depends on your usage, but the recommended setup is having the following files:
settings.yamlwith the shared settings.settings.{environment}.yamlwith the environment-specific settings. For example,settings.production.yaml,settings.staging.yaml,settings.local.yaml, etc.
Then, we declare the settings manager, loading the default providers:
settings_manager = SettingsManager()
Now, settings_manager has settings loaded.
Let's say our API is deployed in production, so we have read the key_vault_url setting from settings.production.yaml. We can now add Azure Key Vault as a provider and read the rest of the settings from there:
settings_manager.add_azure_key_vault(
settings_manager.get_required_value("key_vault_url")
)
After that, we have all settings to construct our Pydantic model:
application_settings = settings_manager.get_model(ApplicationSettings)
Reading settings
Read one value
- Use
get_required_valuewhen the key must exist.
openai_api_key = settings_manager.get_required_value("openai_api_key")
By default, the settings system returns values as strings. To validate and convert to another type, pass the type as a second argument.
timeout_seconds = settings_manager.get_required_value("maximum_retries", int)
- Use
get_valuefor optional keys.
openai_api_key = settings_manager.get_value("openai_api_key")
timeout_seconds = settings_manager.get_value("maximum_retries", int)
Defaults and required fields
If a model field has a default, that default is used when no value is found.
from pydantic import BaseModel
class ApplicationSettings(BaseModel):
app_name: str
port: int | None = None
Here, port defaults to None when missing.
If a required field is missing, get_model raises KeyError.
Sections
Use get_section to read a section. For example, we can read the next YAML:
logging:
log_level: WARNING
log_level = settings_manager.get_section("logging").get_required_value("log_level")
SettingsSection supports:
- The section value itself with
section.get_required_value()orsection.get_required_value(type). - A child value with
section.get_required_value("child.key")orsection.get_required_value("child.key", type).
If a section has only children and no value at its own path, section.get_value() returns None.
Nested keys
Nested keys use .:
database.hostdatabase.portlogging.log_level.default
Pydantic model reloads
Models returned by get_model() are automatically updated when a configured provider reloads its values. This is useful for long-running applications such as web servers or background jobs that need to keep their settings up to date without restarting or redeploying.
from pydantic import BaseModel
from wirio_settings import SettingsManager
class ApplicationSettings(BaseModel):
port: int
application_settings = (
SettingsManager()
.add_yaml_file("settings.yaml", reload_on_change=True)
.get_model(ApplicationSettings)
)
When settings.yaml changes its contents, application_settings.port is updated without calling get_model() again. If the refreshed values do not validate against the model, the existing model values are retained.
Debug settings
Use debug_repr() to inspect settings and their providers. When several providers contain the same key, the value from the provider with the highest priority is shown.
print(settings_manager.debug_repr())
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