^h 6SSKJrJr SSKJr "SS\5rg))OptionalUnion)OpenAITextCompletionConfigc^\rSrSrSrSS\\S\\S\\S\\S\\S \\\ \ 4S \\S \\S S4U4S jjjr Sr U=r $)AzureOpenAITextConfiga$ 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. Nfrequency_penalty logit_bias max_tokensnpresence_penaltystop temperaturetop_preturnc .>[T U]UUUUUUUUS9 g)N)r r r r rrrr)super__init__) selfr r r r rrrr __class__s f/home/james-whalen/.local/lib/python3.13/site-packages/litellm/llms/azure/completion/transformation.pyrAzureOpenAITextConfig.__init__!s/ /!!-#  )NNNNNNNN)__name__ __module__ __qualname____firstlineno____doc__rintdictrstrlistr__static_attributes__ __classcell__)rs@rrrs8,0%)$(*.+/%)# #C= TN SM  C=  #3-  uS$Y'( c] }    rrN)typingrr openai.completion.transformationrrrrrr)s"J/ 6/ r