OpenAI::API::Request::Completion - completions endpoint
use OpenAI::API::Request::Completion; my $request = OpenAI::API::Request::Completion->new( model => "text-davinci-003", prompt => "Say this is a test", max_tokens => 7, temperature => 0, ); my $res = $request->send(); # or: $request->send( http_response => 1 ); my $text = $res->{choices}[0]{text};
Given a prompt, the model will return one or more predicted completions.
model
ID of the model to use.
See Models overview for a reference of them.
prompt
The prompt for the text generation.
suffix [optional]
The suffix that comes after a completion of inserted text.
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.
temperature
n [optional]
How many completions to generate for each prompt.
Use carefully and ensure that you have reasonable settings for max_tokens and stop.
max_tokens
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.
best_of [optional]
Generates best_of completions server-side and returns the "best" (the one with the highest log probability per token).
Sends the request and returns a data structured similar to the one documented in the API reference.
Send a request asynchronously. Returns a Promises promise that will be resolved with the decoded JSON response. See OpenAI::API::Request for an example.
OpenAI API Reference: Completions
To install OpenAI::API, copy and paste the appropriate command in to your terminal.
cpanm
cpanm OpenAI::API
CPAN shell
perl -MCPAN -e shell install OpenAI::API
For more information on module installation, please visit the detailed CPAN module installation guide.