The messages to generate chat completions for; in the chat format

ID of the model to use. Currently only gpt-3.5-turbo and gpt-3.5-turbo-0301 are supported

Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far; decreasing the model's likelihood to repeat the same line verbatim

Modify the likelihood of specified tokens appearing in the completion

Whether to return log probabilities of the output tokens or not

An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability

The maximum number of tokens allowed for the generated answer. By default the number of tokens the model can return will be (4096 - prompt tokens)

How many chat completion choices to generate for each input message

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

An object specifying the format that the model must output

Up to 4 sequences where the API will stop generating further tokens

If set; partial message deltas will be sent like in ChatGPT. Tokens will be sent as data-only server-sent events as they become available; with the stream terminated by a data - [DONE] message

Options for streaming response

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

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. We generally recommend altering this or temperature but not both

A list of tools the model may call

Controls which (if any) tool is called by the model. none means the model will not call any tool and instead generates a message

Whether to enable parallel function calling during tool use

A unique identifier representing your end-user which can help OpenAI to monitor and detect abuse