coord2region.ai_helpers#
Helpers for selecting AI models and loading environment variables.
This module consolidates the common glue used by examples so they can remain minimal. It provides:
load_environment: read.env(if present) intoos.environ.build_interface: construct anAIModelInterfacewith available providers.select_model: choose a supported model from a candidate list with an optionaloverride.
getenv_str: fetch and trim a string environment variable.
Examples import these helpers instead of duplicating logic.
Attributes#
Functions#
|
Load environment variables from configuration files. |
|
Initialise |
|
Return the first supported model, honouring an explicit override. |
|
Return the trimmed value of an environment variable. |
Module Contents#
- coord2region.ai_helpers.TEXT_MODEL_CANDIDATES: Sequence[str] = ('o4', 'o4-mini', 'o3-mini', 'gpt-4.1', 'gpt-4.1-mini', 'gpt-4o', 'gpt-4o-mini', 'deepseek-r1',...[source]#
- coord2region.ai_helpers.IMAGE_MODEL_CANDIDATES: Sequence[str] = ('claude-image', 'gpt-image-1', 'dall-e-3', 'dall-e-2',...[source]#
- coord2region.ai_helpers.load_environment(env_path: str | None = None) None[source]#
Load environment variables from configuration files.
- Parameters:
env_path (str, optional) – Override path to the
.envfile. Defaults to".env"if not provided.
- coord2region.ai_helpers.build_interface(*, enabled_providers: Sequence[str] | None = None) AIModelInterface[source]#
Initialise
AIModelInterfacewith available providers.- Parameters:
enabled_providers (sequence of str, optional) – Explicit list of provider names to register. If omitted, all detected providers are enabled.
- Returns:
Interface capable of dispatching requests to the configured providers.
- Return type:
- coord2region.ai_helpers.select_model(ai: AIModelInterface, candidates: Sequence[str], *, explicit: str | None = None, kind: str = 'text') str | None[source]#
Return the first supported model, honouring an explicit override.
- Parameters:
ai (AIModelInterface) – Interface used to query available models.
candidates (sequence of str) – Preferred model aliases evaluated in order.
explicit (str, optional) – Explicit model request taking precedence if supported.
kind (str, optional) – Human-friendly label for the capability being selected (e.g.,
"text").
- Returns:
Supported model name or
Nonewhen no candidate is available.- Return type:
str or None