Body Required

• model string Required

  Any of:

  string-1 string string-2 string

  ID of the model to use. You can use the List models API to see all of your available models, or see our Model overview for descriptions of them.

  ID of the model to use. You can use the List models API to see all of your available models, or see our Model overview for descriptions of them.

  Values are gpt-3.5-turbo-instruct, davinci-002, or babbage-002.

• prompt string | null | array[string] | array[integer] | array[array] Required

  One of:

  string-1 string | null array-2 array[string] | null array-3 array[integer] | null array-4 array[array] | null

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

  Note that <|endoftext|> is the document separator that the model sees during training, so if a prompt is not specified the model will generate as if from the beginning of a new document.

  Default value is empty.

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

  Note that <|endoftext|> is the document separator that the model sees during training, so if a prompt is not specified the model will generate as if from the beginning of a new document.

  Default value is <|endoftext|>.

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

  Note that <|endoftext|> is the document separator that the model sees during training, so if a prompt is not specified the model will generate as if from the beginning of a new document.

  At least 1 element. Default value is <|endoftext|>.

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

  Note that <|endoftext|> is the document separator that the model sees during training, so if a prompt is not specified the model will generate as if from the beginning of a new document.

  At least 1 element. Default value is <|endoftext|>.

  At least 1 element.

• best_of integer | null

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

  When used with n, best_of controls the number of candidate completions and n specifies how many to return – best_of must be greater than n.

  Note: Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for max_tokens and stop.

  Minimum value is 0, maximum value is 20. Default value is 1.

• echo boolean | null

  Echo back the prompt in addition to the completion

  Default value is false.

• frequency_penalty number | null

  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.

  See more information about frequency and presence penalties.

  Minimum value is -2, maximum value is 2. Default value is 0.

• logit_bias object | null

  Modify the likelihood of specified tokens appearing in the completion.

  Accepts a JSON object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this tokenizer tool to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.

  As an example, you can pass {"50256": -100} to prevent the <|endoftext|> token from being generated.

  Hide logit_bias attributes Show logit_bias attributes object | null

  • Additional properties
  • key integer
• logprobs integer | null

  Include the log probabilities on the logprobs most likely output 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 API will always return the logprob of the sampled token, so there may be up to logprobs+1 elements in the response.

  The maximum value for logprobs is 5.

  Minimum value is 0, maximum value is 5.

• max_tokens integer | null

  The maximum number of tokens that can be generated in the completion.

  The token count of your prompt plus max_tokens cannot exceed the model's context length. Example Python code for counting tokens.

  Minimum value is 0. Default value is 16.

• n integer | null

  How many completions to generate for each prompt.

  Note: Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for max_tokens and stop.

  Minimum value is 1, maximum value is 128. Default value is 1.

• presence_penalty number | null

  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.

  See more information about frequency and presence penalties.

  Minimum value is -2, maximum value is 2. Default value is 0.

• seed integer | null

  If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same seed and parameters should return the same result.

  Determinism is not guaranteed, and you should refer to the system_fingerprint response parameter to monitor changes in the backend.

  Minimum value is -9223372036854775808, maximum value is 9223372036854775807.

• stop string | null | array[string]

  One of:

  string-1 string | null array-2 array[string] | null

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

  Default value is <|endoftext|>.

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

  At least 1 but not more than 4 elements.

• stream boolean | null

  Whether to stream back partial progress. If set, tokens will be sent as data-only server-sent events as they become available, with the stream terminated by a data: [DONE] message. Example Python code.

  Default value is false.

• stream_options object | null

  Options for streaming response. Only set this when you set stream: true.

  Hide stream_options attribute Show stream_options attribute object | null

  • include_usage boolean

    If set, an additional chunk will be streamed before the data: [DONE] message. The usage field on this chunk shows the token usage statistics for the entire request, and the choices field will always be an empty array. All other chunks will also include a usage field, but with a null value.

• suffix string | null

  The suffix that comes after a completion of inserted text.

  This parameter is only supported for gpt-3.5-turbo-instruct.

• temperature number | null

  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.

  Minimum value is 0, maximum value is 2. Default value is 1.

• top_p number | null

  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.

  Minimum value is 0, maximum value is 1. Default value is 1.

• user string

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