NAME

OpenAI::API::Request::Chat - chat endpoint

SYNOPSIS

use OpenAI::API::Request::Chat;

my $request = OpenAI::API::Request::Chat->new(
    model    => "gpt-3.5-turbo",
    messages => [
        { "role" => "system",    "content" => "You are a helpful assistant." },
        { "role" => "user",      "content" => "Who won the world series in 2020?" },
        { "role" => "assistant", "content" => "The Los Angeles Dodgers won the World Series in 2020." },
        { "role" => "user",      "content" => "Where was it played?" }
    ],
);

my $res = $request->send();

DESCRIPTION

Given a chat conversation, the model will return a chat completion response (similar to ChatGPT).

METHODS

new()

• model

  ID of the model to use.

  See Models overview for a reference of them.

• messages

  The messages to generate chat completions for, in the chat format.

• max_tokens [optional]

  The maximum number of tokens to generate.

  Most models have a context length of 2048 tokens (except for the newest models, which support 4096.

• temperature [optional]

  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.

• top_p [optional]

  An alternative to sampling with temperature, called nucleus sampling.

  We generally recommend altering this or temperature but not both.

• n [optional]

  How many completions to generate for each prompt.

  Use carefully and ensure that you have reasonable settings for max_tokens and stop.

• stop [optional]

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

• frequency_penalty [optional]

  Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far.

• presence_penalty [optional]

  Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far.

• user [optional]

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

SEE ALSO

OpenAI API Documentation: Chat