The Noizu.OpenAI.Api.Chat module provides a simple wrapper for OpenAI API's chat completion feature. Given a list of messages describing a conversation, the model will return a response. The chat completion API can be used to create a model response for the given chat conversation.
Noizu.OpenAI.Api.Chat.chat(messages, options)messages: A list of messages describing the conversation so far.options: A keyword list or map of optional parameters to customize the chat completion request.
The following options can be passed in the options parameter:
:model: ID of the model to use. Defaults to the value configured in the application environment or"gpt-3.5-turbo"if not set.:temperature: What sampling temperature to use, between 0 and 2.:top_p: An alternative to sampling with temperature, called nucleus sampling.:completionsor:n: How many chat completion choices to generate for each input message.:stream: If set, partial message deltas will be sent, like in ChatGPT.:stop: Up to 4 sequences where the API will stop generating further tokens.:max_tokens: The maximum number of tokens to generate in the chat completion.:presence_penalty: Number between -2.0 and 2.0 to penalize new tokens based on whether they appear in the text so far.:frequency_penalty: Number between -2.0 and 2.0 to penalize new tokens based on their existing frequency in the text so far.:logit_bias: Modify the likelihood of specified tokens appearing in the completion.:user: A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse.
messages = [%{role: "user", content: "Hello!"}]
options = [model: "gpt-3.5-turbo"]
response = Noizu.OpenAI.Api.Chat.chat(messages, options)