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package AI::Ollama::GenerateEmbeddingRequest 0.04;
# 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;
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=encoding utf8
=head1 NAME
AI::Ollama::GenerateEmbeddingRequest -
=head1 SYNOPSIS
  my $obj = AI::Ollama::GenerateEmbeddingRequest->new();
  ...
=cut
sub as_hash( $self ) {
    return { $self->%* }
}
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=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,
);
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=head2 C<< options >>
Additional model parameters listed in the documentation for the Modelfile such as `temperature`.
=cut
has 'options' => (
    is       => 'ro',
    isa      => HashRef,
);
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=head2 C<< prompt >>
Text to generate embeddings for.
=cut
has 'prompt' => (
    is       => 'ro',
    isa      => Str,
    required => 1,
);
1;