AI-Ollama-Client

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lib/AI/Ollama/GenerateEmbeddingRequest.pm  view on Meta::CPAN

package AI::Ollama::GenerateEmbeddingRequest 0.05;
# DO NOT EDIT! This is an autogenerated file.

use 5.020;
use Moo 2;
use experimental 'signatures';
use stable 'postderef';
use Types::Standard qw(Enum Str Bool Num Int HashRef ArrayRef);
use MooX::TypeTiny;

use namespace::clean;

=encoding utf8

=head1 NAME

AI::Ollama::GenerateEmbeddingRequest -

=head1 SYNOPSIS

  my $obj = AI::Ollama::GenerateEmbeddingRequest->new();
  ...

=cut

sub as_hash( $self ) {
    return { $self->%* }
}

=head1 PROPERTIES

=head2 C<< model >>

The model name.

Model names follow a `model:tag` format. Some examples are `orca-mini:3b-q4_1` and `llama2:70b`. The tag is optional and, if not provided, will default to `latest`. The tag is used to identify a specific version.

=cut

has 'model' => (
    is       => 'ro',
    isa      => Str,
    required => 1,
);

=head2 C<< options >>

Additional model parameters listed in the documentation for the Modelfile such as `temperature`.

=cut

has 'options' => (
    is       => 'ro',
    isa      => HashRef,
);

=head2 C<< prompt >>

Text to generate embeddings for.

=cut

has 'prompt' => (
    is       => 'ro',
    isa      => Str,
    required => 1,
);


1;



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