qfa.settings#

Classes

`AppSettings`(_case_sensitive, ...)	Root configuration composing all sub-settings groups.
`AuthSettings`([_case_sensitive, ...])	Configuration for API-key based authentication.
`DatabaseSettings`([_case_sensitive, ...])	Configuration for the PostgreSQL database connection.
`LLMSettings`([_case_sensitive, ...])	Configuration for the LLM provider connection.
`LogSettings`([_case_sensitive, ...])	Define settings for the logger.
`NetworkSettings`([_case_sensitive, ...])	Configuration for network settings.
`OrchestratorSettings`(_case_sensitive, ...)	Configuration for the orchestrator service.

class qfa.settings.LogSettings(_case_sensitive: bool | None = None, _nested_model_default_partial_update: bool | None = None, _env_prefix: str | None = None, _env_prefix_target: EnvPrefixTarget | None = None, _env_file: DotenvType | None = PosixPath('.'), _env_file_encoding: str | None = None, _env_ignore_empty: bool | None = None, _env_nested_delimiter: str | None = None, _env_nested_max_split: int | None = None, _env_parse_none_str: str | None = None, _env_parse_enums: bool | None = None, _cli_prog_name: str | None = None, _cli_parse_args: bool | list[str] | tuple[str, ...] | None = None, _cli_settings_source: CliSettingsSource[Any] | None = None, _cli_parse_none_str: str | None = None, _cli_hide_none_type: bool | None = None, _cli_avoid_json: bool | None = None, _cli_enforce_required: bool | None = None, _cli_use_class_docs_for_groups: bool | None = None, _cli_exit_on_error: bool | None = None, _cli_prefix: str | None = None, _cli_flag_prefix_char: str | None = None, _cli_implicit_flags: bool | Literal['dual', 'toggle'] | None = None, _cli_ignore_unknown_args: bool | None = None, _cli_kebab_case: bool | Literal['all', 'no_enums'] | None = None, _cli_shortcuts: Mapping[str, str | list[str]] | None = None, _secrets_dir: PathType | None = None, _build_sources: tuple[tuple[PydanticBaseSettingsSource, ...], dict[str, Any]] | None = None, *, loglevel: int = 10, loglevel_3rdparty: int = 30, our_packages: list[str] = ['__main__', 'qfa'], basicConfig: dict[str, Any] = {'format': '%(asctime)s:%(levelname)s:%(name)s:%(message)s'})[source]#

Bases: BaseSettings

Define settings for the logger.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

loglevel: int#

loglevel_3rdparty: int#

our_packages: list[str]#

basicConfig: dict[str, Any]#

classmethod string_to_loglevel(v: str) → int[source]#: Convert a string to a loglevel.

model_config = {'arbitrary_types_allowed': True, 'case_sensitive': False, 'cli_avoid_json': False, 'cli_enforce_required': False, 'cli_exit_on_error': True, 'cli_flag_prefix_char': '-', 'cli_hide_none_type': False, 'cli_ignore_unknown_args': False, 'cli_implicit_flags': False, 'cli_kebab_case': False, 'cli_parse_args': None, 'cli_parse_none_str': None, 'cli_prefix': '', 'cli_prog_name': None, 'cli_shortcuts': None, 'cli_use_class_docs_for_groups': False, 'enable_decoding': True, 'env_file': None, 'env_file_encoding': None, 'env_ignore_empty': False, 'env_nested_delimiter': None, 'env_nested_max_split': None, 'env_parse_enums': None, 'env_parse_none_str': None, 'env_prefix': '', 'env_prefix_target': 'variable', 'extra': 'forbid', 'json_file': None, 'json_file_encoding': None, 'nested_model_default_partial_update': False, 'protected_namespaces': ('model_validate', 'model_dump', 'settings_customise_sources'), 'secrets_dir': None, 'toml_file': None, 'validate_default': True, 'yaml_config_section': None, 'yaml_file': None, 'yaml_file_encoding': None}#: Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

class qfa.settings.LLMSettings(_case_sensitive: bool | None = None, _nested_model_default_partial_update: bool | None = None, _env_prefix: str | None = None, _env_prefix_target: EnvPrefixTarget | None = None, _env_file: DotenvType | None = PosixPath('.'), _env_file_encoding: str | None = None, _env_ignore_empty: bool | None = None, _env_nested_delimiter: str | None = None, _env_nested_max_split: int | None = None, _env_parse_none_str: str | None = None, _env_parse_enums: bool | None = None, _cli_prog_name: str | None = None, _cli_parse_args: bool | list[str] | tuple[str, ...] | None = None, _cli_settings_source: CliSettingsSource[Any] | None = None, _cli_parse_none_str: str | None = None, _cli_hide_none_type: bool | None = None, _cli_avoid_json: bool | None = None, _cli_enforce_required: bool | None = None, _cli_use_class_docs_for_groups: bool | None = None, _cli_exit_on_error: bool | None = None, _cli_prefix: str | None = None, _cli_flag_prefix_char: str | None = None, _cli_implicit_flags: bool | Literal['dual', 'toggle'] | None = None, _cli_ignore_unknown_args: bool | None = None, _cli_kebab_case: bool | Literal['all', 'no_enums'] | None = None, _cli_shortcuts: Mapping[str, str | list[str]] | None = None, _secrets_dir: PathType | None = None, _build_sources: tuple[tuple[PydanticBaseSettingsSource, ...], dict[str, Any]] | None = None, *, model: str = 'azure_ai/mistral-medium-2505', api_key: SecretStr, api_base: str = '', api_version: str = '', timeout_seconds: float = 115.0, max_total_tokens: int = 100000, chars_per_token: int = 4)[source]#

Bases: BaseSettings

Configuration for the LLM provider connection.

The provider is inferred from the model string prefix by LiteLLM (e.g. "azure/gpt-4" for Azure OpenAI, "azure_ai/mistral-large" for Azure AI serverless endpoints).

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

model_config = {'arbitrary_types_allowed': True, 'case_sensitive': False, 'cli_avoid_json': False, 'cli_enforce_required': False, 'cli_exit_on_error': True, 'cli_flag_prefix_char': '-', 'cli_hide_none_type': False, 'cli_ignore_unknown_args': False, 'cli_implicit_flags': False, 'cli_kebab_case': False, 'cli_parse_args': None, 'cli_parse_none_str': None, 'cli_prefix': '', 'cli_prog_name': None, 'cli_shortcuts': None, 'cli_use_class_docs_for_groups': False, 'enable_decoding': True, 'env_file': None, 'env_file_encoding': None, 'env_ignore_empty': False, 'env_nested_delimiter': None, 'env_nested_max_split': None, 'env_parse_enums': None, 'env_parse_none_str': None, 'env_prefix': 'LLM_', 'env_prefix_target': 'variable', 'extra': 'forbid', 'json_file': None, 'json_file_encoding': None, 'nested_model_default_partial_update': False, 'protected_namespaces': ('model_validate', 'model_dump', 'settings_customise_sources'), 'secrets_dir': None, 'toml_file': None, 'validate_default': True, 'yaml_config_section': None, 'yaml_file': None, 'yaml_file_encoding': None}#: Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

model: str#

api_key: SecretStr#

api_base: str#

api_version: str#

timeout_seconds: float#

max_total_tokens: int#

chars_per_token: int#

class qfa.settings.OrchestratorSettings(_case_sensitive: bool | None = None, _nested_model_default_partial_update: bool | None = None, _env_prefix: str | None = None, _env_prefix_target: EnvPrefixTarget | None = None, _env_file: DotenvType | None = PosixPath('.'), _env_file_encoding: str | None = None, _env_ignore_empty: bool | None = None, _env_nested_delimiter: str | None = None, _env_nested_max_split: int | None = None, _env_parse_none_str: str | None = None, _env_parse_enums: bool | None = None, _cli_prog_name: str | None = None, _cli_parse_args: bool | list[str] | tuple[str, ...] | None = None, _cli_settings_source: CliSettingsSource[Any] | None = None, _cli_parse_none_str: str | None = None, _cli_hide_none_type: bool | None = None, _cli_avoid_json: bool | None = None, _cli_enforce_required: bool | None = None, _cli_use_class_docs_for_groups: bool | None = None, _cli_exit_on_error: bool | None = None, _cli_prefix: str | None = None, _cli_flag_prefix_char: str | None = None, _cli_implicit_flags: bool | Literal['dual', 'toggle'] | None = None, _cli_ignore_unknown_args: bool | None = None, _cli_kebab_case: bool | Literal['all', 'no_enums'] | None = None, _cli_shortcuts: Mapping[str, str | list[str]] | None = None, _secrets_dir: PathType | None = None, _build_sources: tuple[tuple[PydanticBaseSettingsSource, ...], dict[str, Any]] | None = None, *, metadata_fields_to_include: list[str] = <factory>, retry_base_seconds: float = 1.0, retry_multiplier: float = 2.0, retry_jitter_factor: float = 0.5, retry_cap_seconds: float = 10.0, chars_per_token: int = 4)[source]#

Bases: BaseSettings

Configuration for the orchestrator service.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

model_config = {'arbitrary_types_allowed': True, 'case_sensitive': False, 'cli_avoid_json': False, 'cli_enforce_required': False, 'cli_exit_on_error': True, 'cli_flag_prefix_char': '-', 'cli_hide_none_type': False, 'cli_ignore_unknown_args': False, 'cli_implicit_flags': False, 'cli_kebab_case': False, 'cli_parse_args': None, 'cli_parse_none_str': None, 'cli_prefix': '', 'cli_prog_name': None, 'cli_shortcuts': None, 'cli_use_class_docs_for_groups': False, 'enable_decoding': True, 'env_file': None, 'env_file_encoding': None, 'env_ignore_empty': False, 'env_nested_delimiter': None, 'env_nested_max_split': None, 'env_parse_enums': None, 'env_parse_none_str': None, 'env_prefix': 'ORCHESTRATOR_', 'env_prefix_target': 'variable', 'extra': 'forbid', 'json_file': None, 'json_file_encoding': None, 'nested_model_default_partial_update': False, 'protected_namespaces': ('model_validate', 'model_dump', 'settings_customise_sources'), 'secrets_dir': None, 'toml_file': None, 'validate_default': True, 'yaml_config_section': None, 'yaml_file': None, 'yaml_file_encoding': None}#: Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

metadata_fields_to_include: list[str]#

retry_base_seconds: float#

retry_multiplier: float#

retry_jitter_factor: float#

retry_cap_seconds: float#

chars_per_token: int#

Bases: BaseSettings

Configuration for API-key based authentication.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

model_config = {'arbitrary_types_allowed': True, 'case_sensitive': False, 'cli_avoid_json': False, 'cli_enforce_required': False, 'cli_exit_on_error': True, 'cli_flag_prefix_char': '-', 'cli_hide_none_type': False, 'cli_ignore_unknown_args': False, 'cli_implicit_flags': False, 'cli_kebab_case': False, 'cli_parse_args': None, 'cli_parse_none_str': None, 'cli_prefix': '', 'cli_prog_name': None, 'cli_shortcuts': None, 'cli_use_class_docs_for_groups': False, 'enable_decoding': True, 'env_file': None, 'env_file_encoding': None, 'env_ignore_empty': False, 'env_nested_delimiter': None, 'env_nested_max_split': None, 'env_parse_enums': None, 'env_parse_none_str': None, 'env_prefix': 'AUTH_', 'env_prefix_target': 'variable', 'extra': 'forbid', 'json_file': None, 'json_file_encoding': None, 'nested_model_default_partial_update': False, 'protected_namespaces': ('model_validate', 'model_dump', 'settings_customise_sources'), 'secrets_dir': None, 'toml_file': None, 'validate_default': True, 'yaml_config_section': None, 'yaml_file': None, 'yaml_file_encoding': None}#: Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

api_keys: list[TenantApiKey]#

class qfa.settings.DatabaseSettings(_case_sensitive: bool | None = None, _nested_model_default_partial_update: bool | None = None, _env_prefix: str | None = None, _env_prefix_target: EnvPrefixTarget | None = None, _env_file: DotenvType | None = PosixPath('.'), _env_file_encoding: str | None = None, _env_ignore_empty: bool | None = None, _env_nested_delimiter: str | None = None, _env_nested_max_split: int | None = None, _env_parse_none_str: str | None = None, _env_parse_enums: bool | None = None, _cli_prog_name: str | None = None, _cli_parse_args: bool | list[str] | tuple[str, ...] | None = None, _cli_settings_source: CliSettingsSource[Any] | None = None, _cli_parse_none_str: str | None = None, _cli_hide_none_type: bool | None = None, _cli_avoid_json: bool | None = None, _cli_enforce_required: bool | None = None, _cli_use_class_docs_for_groups: bool | None = None, _cli_exit_on_error: bool | None = None, _cli_prefix: str | None = None, _cli_flag_prefix_char: str | None = None, _cli_implicit_flags: bool | Literal['dual', 'toggle'] | None = None, _cli_ignore_unknown_args: bool | None = None, _cli_kebab_case: bool | Literal['all', 'no_enums'] | None = None, _cli_shortcuts: Mapping[str, str | list[str]] | None = None, _secrets_dir: PathType | None = None, _build_sources: tuple[tuple[PydanticBaseSettingsSource, ...], dict[str, Any]] | None = None, *, url: str = '', host: str = '', port: int = 5432, name: str = '', user: str = '', password: SecretStr | None = None, auth_mode: Literal['password', 'entra'] = 'password', aad_scope: str = 'https://ossrdbms-aad.database.windows.net/.default', track_usage: bool = False)[source]#

Bases: BaseSettings

Configuration for the PostgreSQL database connection.

Variables:

url (str) – Database connection URL (asyncpg dialect).
track_usage (bool) – Feature flag to enable/disable usage tracking.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

model_config = {'arbitrary_types_allowed': True, 'case_sensitive': False, 'cli_avoid_json': False, 'cli_enforce_required': False, 'cli_exit_on_error': True, 'cli_flag_prefix_char': '-', 'cli_hide_none_type': False, 'cli_ignore_unknown_args': False, 'cli_implicit_flags': False, 'cli_kebab_case': False, 'cli_parse_args': None, 'cli_parse_none_str': None, 'cli_prefix': '', 'cli_prog_name': None, 'cli_shortcuts': None, 'cli_use_class_docs_for_groups': False, 'enable_decoding': True, 'env_file': None, 'env_file_encoding': None, 'env_ignore_empty': False, 'env_nested_delimiter': None, 'env_nested_max_split': None, 'env_parse_enums': None, 'env_parse_none_str': None, 'env_prefix': 'DB_', 'env_prefix_target': 'variable', 'extra': 'forbid', 'json_file': None, 'json_file_encoding': None, 'nested_model_default_partial_update': False, 'protected_namespaces': ('model_validate', 'model_dump', 'settings_customise_sources'), 'secrets_dir': None, 'toml_file': None, 'validate_default': True, 'yaml_config_section': None, 'yaml_file': None, 'yaml_file_encoding': None}#: Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

url: str#

host: str#

port: int#

name: str#

user: str#

password: SecretStr | None#

auth_mode: Literal['password', 'entra']#

aad_scope: str#

track_usage: bool#

Bases: BaseSettings

Configuration for network settings.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

model_config = {'arbitrary_types_allowed': True, 'case_sensitive': False, 'cli_avoid_json': False, 'cli_enforce_required': False, 'cli_exit_on_error': True, 'cli_flag_prefix_char': '-', 'cli_hide_none_type': False, 'cli_ignore_unknown_args': False, 'cli_implicit_flags': False, 'cli_kebab_case': False, 'cli_parse_args': None, 'cli_parse_none_str': None, 'cli_prefix': '', 'cli_prog_name': None, 'cli_shortcuts': None, 'cli_use_class_docs_for_groups': False, 'enable_decoding': True, 'env_file': None, 'env_file_encoding': None, 'env_ignore_empty': False, 'env_nested_delimiter': None, 'env_nested_max_split': None, 'env_parse_enums': None, 'env_parse_none_str': None, 'env_prefix': 'NETWORK_', 'env_prefix_target': 'variable', 'extra': 'forbid', 'json_file': None, 'json_file_encoding': None, 'nested_model_default_partial_update': False, 'protected_namespaces': ('model_validate', 'model_dump', 'settings_customise_sources'), 'secrets_dir': None, 'toml_file': None, 'validate_default': True, 'yaml_config_section': None, 'yaml_file': None, 'yaml_file_encoding': None}#: Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

host: str#

port: int#

class qfa.settings.AppSettings(_case_sensitive: bool | None = None, _nested_model_default_partial_update: bool | None = None, _env_prefix: str | None = None, _env_prefix_target: EnvPrefixTarget | None = None, _env_file: DotenvType | None = PosixPath('.'), _env_file_encoding: str | None = None, _env_ignore_empty: bool | None = None, _env_nested_delimiter: str | None = None, _env_nested_max_split: int | None = None, _env_parse_none_str: str | None = None, _env_parse_enums: bool | None = None, _cli_prog_name: str | None = None, _cli_parse_args: bool | list[str] | tuple[str, ...] | None = None, _cli_settings_source: CliSettingsSource[Any] | None = None, _cli_parse_none_str: str | None = None, _cli_hide_none_type: bool | None = None, _cli_avoid_json: bool | None = None, _cli_enforce_required: bool | None = None, _cli_use_class_docs_for_groups: bool | None = None, _cli_exit_on_error: bool | None = None, _cli_prefix: str | None = None, _cli_flag_prefix_char: str | None = None, _cli_implicit_flags: bool | Literal['dual', 'toggle'] | None = None, _cli_ignore_unknown_args: bool | None = None, _cli_kebab_case: bool | Literal['all', 'no_enums'] | None = None, _cli_shortcuts: Mapping[str, str | list[str]] | None = None, _secrets_dir: PathType | None = None, _build_sources: tuple[tuple[PydanticBaseSettingsSource, ...], dict[str, Any]] | None = None, *, llm: ~qfa.settings.LLMSettings = <factory>, orchestrator: ~qfa.settings.OrchestratorSettings = <factory>, auth: ~qfa.settings.AuthSettings = <factory>, log: ~qfa.settings.LogSettings = <factory>, db: ~qfa.settings.DatabaseSettings = <factory>, network: ~qfa.settings.NetworkSettings = <factory>, debug: bool = False)[source]#

Bases: BaseSettings

Root configuration composing all sub-settings groups.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

llm: LLMSettings#

orchestrator: OrchestratorSettings#

auth: AuthSettings#

log: LogSettings#

db: DatabaseSettings#

network: NetworkSettings#

model_config = {'arbitrary_types_allowed': True, 'case_sensitive': False, 'cli_avoid_json': False, 'cli_enforce_required': False, 'cli_exit_on_error': True, 'cli_flag_prefix_char': '-', 'cli_hide_none_type': False, 'cli_ignore_unknown_args': False, 'cli_implicit_flags': False, 'cli_kebab_case': False, 'cli_parse_args': None, 'cli_parse_none_str': None, 'cli_prefix': '', 'cli_prog_name': None, 'cli_shortcuts': None, 'cli_use_class_docs_for_groups': False, 'enable_decoding': True, 'env_file': None, 'env_file_encoding': None, 'env_ignore_empty': False, 'env_nested_delimiter': None, 'env_nested_max_split': None, 'env_parse_enums': None, 'env_parse_none_str': None, 'env_prefix': '', 'env_prefix_target': 'variable', 'extra': 'forbid', 'json_file': None, 'json_file_encoding': None, 'nested_model_default_partial_update': False, 'protected_namespaces': ('model_validate', 'model_dump', 'settings_customise_sources'), 'secrets_dir': None, 'toml_file': None, 'validate_default': True, 'yaml_config_section': None, 'yaml_file': None, 'yaml_file_encoding': None}#: Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

debug: bool#

Whether to enable debug mode.

This will, e.g., enable code reloading for the uvicorn server.