nat.data_models.llm#
Attributes#
Classes#
str(object='') -> str |
|
Base configuration for LLM providers. |
Module Contents#
- class APITypeEnum#
-
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.BaseModelRegistryTagBase 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.selfis explicitly positional-only to allowselfas a field name.- api_type: APITypeEnum = None#
- LLMBaseConfigT#