AI-Ollama-Client
view release on metacpan or search on metacpan
Makefile.PL view on Meta::CPAN
WriteMakefile(%params);
}
sub regen_README {
# README is the short version that just tells people what this is
# and how to install it
my( $file, $version ) = @_;
eval {
# Get description
my $readme = join "\n",
pod_section($file, 'NAME', 'no heading' ),
pod_section($file, 'DESCRIPTION' ),
<<VERSION,
This document describes version $version.
VERSION
<<INSTALL,
INSTALLATION
This is a Perl module distribution. It should be installed with whichever
tool you use to manage your installation of Perl, e.g. any of
Makefile.PL view on Meta::CPAN
Consult https://www.cpan.org/modules/INSTALL.html for further instruction.
Should you wish to install this module manually, the procedure is
perl Makefile.PL
make
make test
make install
INSTALL
pod_section($file, 'REPOSITORY'),
pod_section($file, 'SUPPORT'),
pod_section($file, 'TALKS'),
pod_section($file, 'KNOWN ISSUES'),
pod_section($file, 'BUG TRACKER'),
pod_section($file, 'CONTRIBUTING'),
pod_section($file, 'SEE ALSO'),
pod_section($file, 'AUTHOR'),
pod_section($file, 'LICENSE' ),
pod_section($file, 'COPYRIGHT' ),
;
update_file( 'README', $readme );
};
# README.mkdn is the documentation that will be shown as the main
# page of the repository on Github. Hence we recreate the POD here
# as Markdown
eval {
require Pod::Markdown;
my $parser = Pod::Markdown->new();
Makefile.PL view on Meta::CPAN
[](https://github.com/Corion/$distbase/actions?query=workflow%3Awindows)
[](https://github.com/Corion/$distbase/actions?query=workflow%3Amacos)
[](https://github.com/Corion/$distbase/actions?query=workflow%3Alinux)
STATUS
update_file( 'README.mkdn', $readme_mkdn );
};
}
sub pod_section {
my( $filename, $section, $remove_heading ) = @_;
open my $fh, '<', $filename
or die "Couldn't read '$filename': $!";
my @section =
grep { /^=head1\s+$section/.../^=/ } <$fh>;
# Trim the section
if( @section ) {
pop @section if $section[-1] =~ /^=/;
shift @section if $remove_heading;
pop @section
while @section and $section[-1] =~ /^\s*$/;
shift @section
while @section and $section[0] =~ /^\s*$/;
};
@section = map { $_ =~ s!^=\w+\s+!!; $_ } @section;
return join "", @section;
}
sub regen_EXAMPLES {
my $perl = $^X;
if ($perl =~/\s/) {
$perl = qq{"$perl"};
};
(my $example_file = $main_file) =~ s!\.pm$!/Examples.pm!;
my $examples = `$perl -w examples/gen_examples_pod.pl`;
if ($examples) {
lib/AI/Ollama/Client/Impl.pm view on Meta::CPAN
Download a model from the ollama library.
Cancelled pulls are resumed from where they left off, and multiple calls will share the same download progress.
=head3 Options
=over 4
=item C<< insecure >>
Allow insecure connections to the library.
Only use this if you are pulling from your own library during development.
=item C<< name >>
The model name.
Model names follow a C<model:tag> format. Some examples are C<orca-mini:3b-q4_1> and C<llama2:70b>. The tag is optional and, if not provided, will default to C<latest>. The tag is used to identify a specific version.
=item C<< stream >>
lib/AI/Ollama/Client/Impl.pm view on Meta::CPAN
Upload a model to a model library.
Requires registering for ollama.ai and adding a public key first.
=head3 Options
=over 4
=item C<< insecure >>
Allow insecure connections to the library.
Only use this if you are pushing to your library during development.
=item C<< name >>
The name of the model to push in the form of /:.
=item C<< stream >>
If C<false> the response will be returned as a single response object, otherwise the response will be streamed as a series of objects.
lib/AI/Ollama/GenerateChatCompletionResponse.pm view on Meta::CPAN
=cut
has 'eval_count' => (
is => 'ro',
isa => Int,
);
=head2 C<< eval_duration >>
Time in nanoseconds spent generating the response.
=cut
has 'eval_duration' => (
is => 'ro',
isa => Int,
);
=head2 C<< load_duration >>
Time spent in nanoseconds loading the model.
=cut
has 'load_duration' => (
is => 'ro',
isa => Int,
);
=head2 C<< message >>
lib/AI/Ollama/GenerateChatCompletionResponse.pm view on Meta::CPAN
=cut
has 'prompt_eval_count' => (
is => 'ro',
isa => Int,
);
=head2 C<< prompt_eval_duration >>
Time spent in nanoseconds evaluating the prompt.
=cut
has 'prompt_eval_duration' => (
is => 'ro',
isa => Int,
);
=head2 C<< total_duration >>
lib/AI/Ollama/GenerateCompletionResponse.pm view on Meta::CPAN
=cut
has 'eval_count' => (
is => 'ro',
isa => Int,
);
=head2 C<< eval_duration >>
Time in nanoseconds spent generating the response.
=cut
has 'eval_duration' => (
is => 'ro',
isa => Int,
);
=head2 C<< load_duration >>
Time spent in nanoseconds loading the model.
=cut
has 'load_duration' => (
is => 'ro',
isa => Int,
);
=head2 C<< model >>
lib/AI/Ollama/GenerateCompletionResponse.pm view on Meta::CPAN
=cut
has 'prompt_eval_count' => (
is => 'ro',
isa => Int,
);
=head2 C<< prompt_eval_duration >>
Time spent in nanoseconds evaluating the prompt.
=cut
has 'prompt_eval_duration' => (
is => 'ro',
isa => Int,
);
=head2 C<< response >>
lib/AI/Ollama/PullModelRequest.pm view on Meta::CPAN
...
=cut
sub as_hash( $self ) {
return { $self->%* }
}
=head1 PROPERTIES
=head2 C<< insecure >>
Allow insecure connections to the library.
Only use this if you are pulling from your own library during development.
=cut
has 'insecure' => (
is => 'ro',
);
=head2 C<< name >>
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
lib/AI/Ollama/PushModelRequest.pm view on Meta::CPAN
...
=cut
sub as_hash( $self ) {
return { $self->%* }
}
=head1 PROPERTIES
=head2 C<< insecure >>
Allow insecure connections to the library.
Only use this if you are pushing to your library during development.
=cut
has 'insecure' => (
is => 'ro',
);
=head2 C<< name >>
The name of the model to push in the form of <namespace>/<model>:<tag>.
=cut
has 'name' => (
ollama/ollama-curated.json view on Meta::CPAN
{"openapi":"3.0.3","components":{"schemas":{"PushModelResponse":{"properties":{"total":{"type":"integer","description":"total size of the model","example":"2142590208"},"status":{"$ref":"#/components/schemas/PushModelStatus"},"digest":{"example":"sha...
ollama/ollama-curated.yaml view on Meta::CPAN
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.
example: 3013701500
prompt_eval_count:
type: integer
description: Number of tokens in the prompt.
example: 46
prompt_eval_duration:
type: integer
description: Time spent in nanoseconds evaluating the prompt.
example: 1160282000
eval_count:
type: integer
description: Number of tokens the response.
example: 113
eval_duration:
type: integer
description: Time in nanoseconds spent generating the response.
example: 1325948000
GenerateChatCompletionRequest:
type: object
description: Request class for the chat endpoint.
properties:
model:
type: string
description: *model_name
example: llama2:7b
messages:
ollama/ollama-curated.yaml view on Meta::CPAN
done:
type: boolean
description: Whether the response has completed.
example: true
total_duration:
type: integer
description: Time spent generating the response.
example: 5589157167
load_duration:
type: integer
description: Time spent in nanoseconds loading the model.
example: 3013701500
prompt_eval_count:
type: integer
description: Number of tokens in the prompt.
example: 46
prompt_eval_duration:
type: integer
description: Time spent in nanoseconds evaluating the prompt.
example: 1160282000
eval_count:
type: integer
description: Number of tokens the response.
example: 113
eval_duration:
type: integer
description: Time in nanoseconds spent generating the response.
example: 1325948000
Message:
type: object
description: A message in the chat endpoint
properties:
role:
type: string
description: The role of the message
enum: [ "system", "user", "assistant" ]
content:
ollama/ollama-curated.yaml view on Meta::CPAN
required:
- name
PullModelRequest:
description: Request class for pulling a model.
type: object
properties:
name:
type: string
description: *model_name
example: llama2:7b
insecure:
type: boolean
description: |
Allow insecure connections to the library.
Only use this if you are pulling from your own library during development.
default: false
stream:
type: boolean
description: *stream
default: false
required:
- name
PullModelResponse:
ollama/ollama-curated.yaml view on Meta::CPAN
- success
example: pulling manifest
PushModelRequest:
description: Request class for pushing a model.
type: object
properties:
name:
type: string
description: The name of the model to push in the form of <namespace>/<model>:<tag>.
example: 'mattw/pygmalion:latest'
insecure:
type: boolean
description: |
Allow insecure connections to the library.
Only use this if you are pushing to your library during development.
default: false
stream:
type: boolean
description: *stream
default: false
required:
- name
PushModelResponse:
openapi/petstore-expanded.yaml view on Meta::CPAN
license:
name: Apache 2.0
url: https://www.apache.org/licenses/LICENSE-2.0.html
servers:
- url: https://petstore.swagger.io/v2
paths:
/pets:
get:
description: |
Returns all pets from the system that the user has access to
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Sed tempus felis lobortis leo pulvinar rutrum. Nam mattis velit nisl, eu condimentum ligula luctus nec. Phasellus semper velit eget aliquet faucibus. In a mattis elit. Phasellus vel urna viverra, condimentum lorem id, rhoncus nibh. Ut pellent...
operationId: findPets
parameters:
- name: tags
in: query
description: tags to filter by
required: false
style: form
schema:
xt/99-synopsis.t view on Meta::CPAN
pass $name;
} else {
fail $name;
diag $output;
diag $_ for @synopsis;
};
unlink $tempname
or warn "Couldn't clean up $tempname: $!";
} else {
SKIP: {
skip "$file has no SYNOPSIS section", 1;
};
};
}
( run in 0.722 second using v1.01-cache-2.11-cpan-39bf76dae61 )