| from typing import Optional, Union | |
| from ...openai.completion.transformation import OpenAITextCompletionConfig | |
| class AzureOpenAITextConfig(OpenAITextCompletionConfig): | |
| """ | |
| Reference: https://platform.openai.com/docs/api-reference/chat/create | |
| The class `AzureOpenAIConfig` provides configuration for the OpenAI's Chat API interface, for use with Azure. It inherits from `OpenAIConfig`. Below are the parameters:: | |
| - `frequency_penalty` (number or null): Defaults to 0. Allows a value between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, thereby minimizing repetition. | |
| - `function_call` (string or object): This optional parameter controls how the model calls functions. | |
| - `functions` (array): An optional parameter. It is a list of functions for which the model may generate JSON inputs. | |
| - `logit_bias` (map): This optional parameter modifies the likelihood of specified tokens appearing in the completion. | |
| - `max_tokens` (integer or null): This optional parameter helps to set the maximum number of tokens to generate in the chat completion. | |
| - `n` (integer or null): This optional parameter helps to set how many chat completion choices to generate for each input message. | |
| - `presence_penalty` (number or null): Defaults to 0. It penalizes new tokens based on if they appear in the text so far, hence increasing the model's likelihood to talk about new topics. | |
| - `stop` (string / array / null): Specifies up to 4 sequences where the API will stop generating further tokens. | |
| - `temperature` (number or null): Defines the sampling temperature to use, varying between 0 and 2. | |
| - `top_p` (number or null): An alternative to sampling with temperature, used for nucleus sampling. | |
| """ | |
| def __init__( | |
| self, | |
| frequency_penalty: Optional[int] = None, | |
| logit_bias: Optional[dict] = None, | |
| max_tokens: Optional[int] = None, | |
| n: Optional[int] = None, | |
| presence_penalty: Optional[int] = None, | |
| stop: Optional[Union[str, list]] = None, | |
| temperature: Optional[int] = None, | |
| top_p: Optional[int] = None, | |
| ) -> None: | |
| super().__init__( | |
| frequency_penalty=frequency_penalty, | |
| logit_bias=logit_bias, | |
| max_tokens=max_tokens, | |
| n=n, | |
| presence_penalty=presence_penalty, | |
| stop=stop, | |
| temperature=temperature, | |
| top_p=top_p, | |
| ) | |