CompletionsRequestBody

Generates best_of completions server-side and returns the "best" (the one with the highest log probability per token).

Echo back the prompt in addition to the completion.

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.

Include the log probabilities on the logprobs most likely tokens, as well the chosen tokens. For example, if logprobs is 5, the API will return a list of the 5 most likely tokens.

The maximum number of tokens to generate in the completion.

ID of the model to use.

How many completions to generate for each prompt.

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.

The prompt(s) to generate completions for, encoded as a string, array of strings, array of tokens, or array of token arrays.

Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.

The suffix that comes after a completion of inserted text.

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.

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.

A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. For more information please visit: https://platform.openai.com/docs/api-reference/completions/create