AI-Ollama-Client

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Makefile.PL  view on Meta::CPAN

        warn "(Re)Creating $example_file\n";
        $examples =~ s/\r\n/\n/g;
        update_file( $example_file, $examples );
    };
};

sub update_file {
    my( $filename, $new_content ) = @_;
    my $content;
    if( -f $filename ) {
        open my $fh, '<:raw:encoding(UTF-8)', $filename
            or die "Couldn't read '$filename': $!";
        local $/;
        $content = <$fh>;
    };

    if( $content ne $new_content ) {
        if( open my $fh, '>:raw:encoding(UTF-8)', $filename ) {
            print $fh $new_content;
        } else {
            warn "Couldn't (re)write '$filename': $!";
        };
    };
}

lib/AI/Ollama/Client/Impl.pm  view on Meta::CPAN

use AI::Ollama::Model;
use AI::Ollama::ModelInfo;
use AI::Ollama::ModelInfoRequest;
use AI::Ollama::ModelsResponse;
use AI::Ollama::PullModelRequest;
use AI::Ollama::PullModelResponse;
use AI::Ollama::PushModelRequest;
use AI::Ollama::PushModelResponse;
use AI::Ollama::RequestOptions;

=encoding utf8

=head1 SYNOPSIS

  my $client = AI::Ollama::Client::Impl->new(
      schema_file => '...',
  );

=head1 PROPERTIES

=head2 B<< schema_file >>

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

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::CopyModelRequest -

=head1 SYNOPSIS

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

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

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::CreateModelRequest -

=head1 SYNOPSIS

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

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

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::CreateModelResponse -

=head1 SYNOPSIS

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

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

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::DeleteModelRequest -

=head1 SYNOPSIS

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

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

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::GenerateChatCompletionRequest -

=head1 SYNOPSIS

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

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

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::GenerateChatCompletionResponse -

=head1 SYNOPSIS

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

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

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::GenerateCompletionRequest -

=head1 SYNOPSIS

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

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

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::GenerateCompletionResponse -

=head1 SYNOPSIS

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

=cut

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

=head1 PROPERTIES

=head2 C<< context >>

An encoding of the conversation used in this response, this can be sent in the next request to keep a conversational memory.

=cut

has 'context' => (
    is       => 'ro',
    isa      => ArrayRef[Int],
);

=head2 C<< created_at >>

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

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();
  ...

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

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::GenerateEmbeddingResponse -

=head1 SYNOPSIS

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

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

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::Message -

=head1 SYNOPSIS

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

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

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::Model -

=head1 SYNOPSIS

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

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

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::ModelInfo -

=head1 SYNOPSIS

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

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

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::ModelInfoRequest -

=head1 SYNOPSIS

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

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

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::ModelsResponse -

=head1 SYNOPSIS

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

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

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::PullModelRequest -

=head1 SYNOPSIS

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

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

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::PullModelResponse -

=head1 SYNOPSIS

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

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

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::PushModelRequest -

=head1 SYNOPSIS

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

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

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::PushModelResponse -

=head1 SYNOPSIS

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

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

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::RequestOptions -

=head1 SYNOPSIS

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

ollama/ollama-curated.json  view on Meta::CPAN

{"openapi":"3.0.3","components":{"schemas":{"PushModelResponse":{"properties":{"total":{"type":"integer","description":"total size of the model","example":"2142590208"},"status":{"$ref":"#/components/schemas/PushModelStatus"},"digest":{"example":"sha...

ollama/ollama-curated.yaml  view on Meta::CPAN

          type: string
          description: The response for a given prompt with a provided model.
          example: The sky appears blue because of a phenomenon called Rayleigh scattering.
        done:
          type: boolean
          description: Whether the response has completed.
          example: true
        context:
          type: array
          description: |
            An encoding of the conversation used in this response, this can be sent in the next request to keep a conversational memory.
          items:
            type: integer
          example: [ 1, 2, 3 ]
        total_duration:
          type: integer
          description: Time spent generating the response.
          example: 5589157167
        load_duration:
          type: integer
          description: Time spent in nanoseconds loading the model.