Enums

Enums for the different types of questions, language models, and inference services.

class edsl.enums.EnumWithChecks(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)

Bases: Enum

Base class for all enums with checks.

__module__ = 'edsl.enums'

classmethod is_value_valid(value)

Check if the value is valid.

class edsl.enums.InferenceServiceType(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)

Bases: EnumWithChecks

Enum for the inference service types.

ANTHROPIC = 'anthropic'

AZURE = 'azure'

BEDROCK = 'bedrock'

DEEP_INFRA = 'deep_infra'

GOOGLE = 'google'

GROQ = 'groq'

MISTRAL = 'mistral'

OLLAMA = 'ollama'

OPENAI = 'openai'

REPLICATE = 'replicate'

TEST = 'test'

TOGETHER = 'together'

__module__ = 'edsl.enums'

__new__(value)

class edsl.enums.QuestionType(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)

Bases: EnumWithChecks

Enum for the question types.

BUDGET = 'budget'

CHECKBOX = 'checkbox'

EXTRACT = 'extract'

FREE_TEXT = 'free_text'

FUNCTIONAL = 'functional'

LIKERT_FIVE = 'likert_five'

LINEAR_SCALE = 'linear_scale'

LIST = 'list'

MULTIPLE_CHOICE = 'multiple_choice'

NUMERICAL = 'numerical'

RANK = 'rank'

TOP_K = 'top_k'

YES_NO = 'yes_no'

__module__ = 'edsl.enums'

__new__(value)

class edsl.enums.TokenPricing(*, model_name, prompt_token_price_per_k: float, completion_token_price_per_k: float)

Bases: object

__dict__ = mappingproxy({'__module__': 'edsl.enums', '__init__': <function TokenPricing.__init__>, '__eq__': <function TokenPricing.__eq__>, '__dict__': <attribute '__dict__' of 'TokenPricing' objects>, '__weakref__': <attribute '__weakref__' of 'TokenPricing' objects>, '__doc__': None, '__hash__': None, '__annotations__': {}})

__eq__(other)

Return self==value.

__hash__ = None

__init__(*, model_name, prompt_token_price_per_k: float, completion_token_price_per_k: float)

__module__ = 'edsl.enums'

__weakref__

list of weak references to the object

edsl.enums.get_token_pricing(model_name)