nat.data_models.llm#

Attributes#

Classes#

APITypeEnum

str(object='') -> str

LLMBaseConfig

Base configuration for LLM providers.

Module Contents#

class APITypeEnum#

Bases: str, enum.Enum

str(object=’’) -> str str(bytes_or_buffer[, encoding[, errors]]) -> str

Create a new string object from the given object. If encoding or errors is specified, then the object must expose a data buffer that will be decoded using the given encoding and error handler. Otherwise, returns the result of object.__str__() (if defined) or repr(object). encoding defaults to ‘utf-8’. errors defaults to ‘strict’.

Initialize self. See help(type(self)) for accurate signature.

CHAT_COMPLETION = 'chat_completion'#
RESPONSES = 'responses'#
class LLMBaseConfig(/, **data: Any)#

Bases: nat.data_models.common.TypedBaseModel, nat.data_models.common.BaseModelRegistryTag

Base configuration for LLM providers.

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.

api_type: APITypeEnum = None#
LLMBaseConfigT#