CompletionRequest

Generates bestOf completions server-side and returns the "best" (the one with the lowest log probability per token). Results cannot be streamed.

Echo back the prompt in addition to the completion.

Number between 0 and 1 (default 0) that penalizes new tokens based on their existing frequency in the text so far. Decreases 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 10, the API will return a list of the 10 most likely tokens. The API will always return the logprob of the sampled token, so there may be up to logprobs+1 elements in the response.

The maximum number of tokens to generate. Requests can use up to 2048 tokens shared between prompt and completion. (One token is roughly 4 characters for normal English text)

ID of the model to use.

How many completions to generate for each prompt.

Number between 0 and 1 (default 0) that penalizes new tokens based on whether they appear in the text so far. Increases the model's likelihood to talk about new topics.

The prompt(s) to generate completions for, encoded as a string, a list of strings, or a list of token lists.

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. Higher values means the model will take more risks. Try 0.9 for more creative applications, and 0 (argmax sampling) for ones with a well-defined answer.

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 will help OpenAI to monitor and detect abuse.