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chatgpt / Exports / openai

Namespace: openai

Table of contents

Type Aliases

Type Aliases

CompletionParams

Ƭ CompletionParams: Object

Type declaration

Name Type Description
best_of? number 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.
echo? boolean Echo back the prompt in addition to the completion
frequency_penalty? number 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.
logit_bias? Record<string, number> 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 (which works for both GPT-2 and GPT-3) 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.
logprobs? number 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 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. If you need more than this, please contact us through our Help center and describe your use case.
max_tokens? number The maximum number of tokens to generate in the completion. The token count of your prompt plus max_tokens cannot exceed the model's context length. Most models have a context length of 2048 tokens (except for the newest models, which support 4096).
model string ID of the model to use.
presence_penalty? number 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.
prompt string The string prompt to generate a completion for.
stop? string[] Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.
suffix? string The suffix that comes after a completion of inserted text.
temperature? number 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. We generally recommend altering this or top_p but not both.
top_p? number 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.
user? string A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. Learn more.

Defined in

src/types.ts:35

CompletionResponse

Ƭ CompletionResponse: Object

Type declaration

Name Type
choices CompletionResponseChoices
created number
id string
model string
object string
usage? CompletionResponseUsage

Defined in

src/types.ts:117

CompletionResponseChoices

Ƭ CompletionResponseChoices: { finish_reason?: string ; index?: number ; logprobs?: { text_offset?: number[] ; token_logprobs?: number[] ; tokens?: string[] ; top_logprobs?: object[] } | null ; text?: string }[]

Defined in

src/types.ts:126

CompletionResponseUsage

Ƭ CompletionResponseUsage: Object

Type declaration

Name Type
completion_tokens number
prompt_tokens number
total_tokens number

Defined in

src/types.ts:138