Your OpenAI API key.
Optional
frequency_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.
Optional
function_Controls how the model responds to function calls. "none" means the model does not call a function, and responds to the end-user. "auto" means the model can pick between an end-user or calling a function. Specifying a particular function via {"name":\ "my_function"}
forces the model to call that function. "none" is the default when no functions are present. "auto" is the default if functions are present.
Optional
functionsA list of functions the model may generate JSON inputs for.
Optional
logit_Modify the likelihood of specified tokens appearing in the completion.
Accepts a json object that maps tokens (specified by their token ID in the tokenizer) to an associated bias value from -100 to 100. 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.
Optional
max_The maximum number of tokens to generate in the chat completion.
The total length of input tokens and generated tokens is limited by the model's context length.
The messages to generate chat completions for, in the chat format.
ID of the model to use. See the model endpoint compatibility table for details on which models work with the Chat API.
Optional
presence_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.
Optional
stopUp to 4 sequences where the API will stop generating further tokens.
Optional
streamIf 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.
See the OpenAI Cookbook for example code.
Optional
temperatureWhat 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.
Optional
top_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.
Optional
userA unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. Learn more.
Generated using TypeDoc
Request body for a Create Chat Completion request, which creates a completion for the conversation's messages.
Endpoint:
POST https://api.openai.com/v1/chat/completions
Remarks
The
apiKey
property is not part of the request body, but is instead used to set theAuthorization
header.The
n
property is not part of the request body, because only 1 chat completion choices is supported by the library.See
Create Chat Completion Request Body