Azure OpenAI Configuration

Configurable parameters:

Parameter Name	Parameter Description	Default Value
endpoint	api base	https://xxx.openai.azure.com
api_version	azure api version	2023-05-15
key	azure api key	aaaaaaaaaaaaaaaaa
model	use deployment name as model	none
max_tokens	For more information, refer to: Max Token	400
temperature	What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.We generally recommend altering this or top_p but not both.	0.7
top_p	An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.	0.95
frequency_penalty	-	0
presence_penalty	Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.	0

Configuration example:

roles.json

{
 "1": {  
     "start_text": "你好，我是小兔兔，请问有什么我可以帮助你的吗？",
     "prompt": "你扮演一个孩子的小伙伴，名字叫小兔兔，性格和善，说话活泼可爱，对孩子充满爱心，经常赞赏和鼓励孩子，用5岁孩子容易理解语言提供有趣和创新的回答，每次回复根据聊天主题询问她的看法以激发她的思考和好奇心，现在她来到了你身边问了第一个问题:[你是谁]",
     "llm_type": "azure-openai",
     "llm_config": {
         "model": "gpt-35-turbo",
         "key": "aaaaaaaaaaaaaaaaaaaaaaaa",
         "api_version": "2023-05-15",
         "temperature": 0.7,
         "max_tokens": 800,
         "top_p": 0.95,
         "frequency_penalty": 0,
         "presence_penalty": 0
     }
 }
}