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. frequencyPenalty
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 forces the model to
call that function. "none" is the default when no functions
are present. "auto" is the default if functions are present.{"name":\ "my_function"}
functionCall
The maximum number of tokens allowed for the generated answer. By default,
the number of tokens the model can return will be (4096 - prompt tokens).
maxToken
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. presencePenalty
If 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. stream
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. temperature
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. topP
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. logitBias
A unique identifier representing your end-user, which can help OpenAI
to monitor and detect abuse.user
