Providers

Providers are the interface between the LMS AI subsystem and external AI systems. Their focus should be on converting the data requested by an Action into the format needed by the external AI services API, and then correctly providing the response back from the AI in an Action Response object.

The Golden Rule:

Placements DO NOT know about Providers, and Providers DO NOT know about Placements. Everything should go via the Manager.

Providers are defined as classes in their own namespace according to their plugin name. The naming convention for Action classes is aiprovider_<plugin name>, for example: aiprovider_openai, aiprovider_azureai. With corresponding namespaces.

Each Provider MUST inherit from the \core_ai\provider abstract class. They must also implement the following methods:

• get_action_list(): array This is the list of Actions that are supported by this Provider, for example the aiprovider_openai plugin defines this as:

public function get_action_list(): array {
    return [
        \core_ai\aiactions\generate_text::class,
        \core_ai\aiactions\generate_image::class,
        \core_ai\aiactions\summarise_text::class,
    ];
}

Process classes

For each action supported by the provider, the provider plugin MUST implement a process_<action> class, where <action> is the name of the action. For example: process_generate_image.

Every process action class MUST inherit from the \core_ai\process_base abstract class.

The process action class MUST implement a process() method. This method is responsible for converting the data requested by an Action into the format needed by the external AI services API, and then correctly providing the response back from the AI in an Action Response object.

The process action classes and process method are expected by the manager to exist and be callable.

As most provider plugins will support more than one action, it is recommended to create an abstract_processor class that inherits from the \core_ai\process_base class and then have each process action class inherit from this abstract class.

For example, the aiprovider_openai plugin defines an abstract_processor class that inherits from the \core_ai\process_base class and then the process_generate_image, process_generate_text and process_summarise_text classes inherit from this abstract class.

This can be visualised as follows:

Apart from this, Providers are free to define their own structure. It should be kept in mind that Providers are designed to be a "thin wrapper" around the external AI systems API. They shouldn't store data, or have their own UI elements (beyond what is required for configuration).

Plugin Structure

Provider plugins reside in the ai/provider directory.

Each Provider is in a separate subdirectory and consists of a number of mandatory files and any other files the developer is going to use.

The following is the typical structure of a Provider plugin, using the OpenAI Provider as an example:

.
├── classes
│   ├── abstract_processor.php
│   ├── privacy
│   │   └── provider.php
│   ├── process_generate_image.php
│   ├── process_generate_text.php
│   ├── process_summarise_text.php
│   └── provider.php
├── lang
│   └── en
│       └── aiprovider_openai.php
├── settings.php
├── tests
│   ├── fixtures
│   │   ├── image_request_success.json
│   │   ├── test.jpg
│   │   └── text_request_success.json
│   ├── process_generate_image_test.php
│   ├── process_generate_text_test.php
│   ├── process_summarise_text_test.php
│   └── provider_test.php
└── version.php

Settings

Settings for the Provider should be defined in the settings.php file. Each Provider plugin should create a new admin settings page using core_ai\admin\admin_settingspage_provider class.

For example, the aiprovider_openai plugin defines this:

use core_ai\admin\admin_settingspage_provider;

if ($hassiteconfig) {
    // Provider specific settings heading.
    $settings = new admin_settingspage_provider(
        'aiprovider_openai',
        new lang_string('pluginname', 'aiprovider_openai'),
        'moodle/site:config',
        true,
    );

...

Rate Limiting

It is recommended that Providers implement rate limiting to prevent abuse of the external AI services.

To assist with this, the AI subsystem provides a core_ai\rate_limiter class that can be used to implement rate limiting. This class supports both user and system level rate limiting.

This should be implemented in a is_request_allowed() method in the Provider class. For example, from the aiprovider_openai plugin:

/**
     * Check if the request is allowed by the rate limiter.
     *
     * @param aiactions\base $action The action to check.
     * @return array|bool True on success, array of error details on failure.
     */
    public function is_request_allowed(aiactions\base $action): array|bool {
        $ratelimiter = \core\di::get(rate_limiter::class);
        $component = \core\component::get_component_from_classname(get_class($this));

        // Check the user rate limit.
        if ($this->enableuserratelimit) {
            if (!$ratelimiter->check_user_rate_limit(
                component: $component,
                ratelimit: $this->userratelimit,
                userid: $action->get_configuration('userid')
            )) {
                return [
                    'success' => false,
                    'errorcode' => 429,
                    'errormessage' => 'User rate limit exceeded',
                ];
            }
        }

        // Check the global rate limit.
        if ($this->enableglobalratelimit) {
            if (!$ratelimiter->check_global_rate_limit(
                component: $component,
                ratelimit: $this->globalratelimit
            )) {
                return [
                    'success' => false,
                    'errorcode' => 429,
                    'errormessage' => 'Global rate limit exceeded',
                ];
            }
        }

        return true;
    }

If implementing rate limiting, settings for the rate limits should be provided in the plugin settings.

For example, the aiprovider_openai plugin provides settings for the user and global rate limits:

    // Setting to enable/disable global rate limiting.
    $settings->add(new admin_setting_configcheckbox(
        'aiprovider_openai/enableglobalratelimit',
        new lang_string('enableglobalratelimit', 'aiprovider_openai'),
        new lang_string('enableglobalratelimit_desc', 'aiprovider_openai'),
        0,
    ));

    // Setting to set how many requests per hour are allowed for the global rate limit.
    // Should only be enabled when global rate limiting is enabled.
    $settings->add(new admin_setting_configtext(
        'aiprovider_openai/globalratelimit',
        new lang_string('globalratelimit', 'aiprovider_openai'),
        new lang_string('globalratelimit_desc', 'aiprovider_openai'),
        100,
        PARAM_INT,
    ));
    $settings->hide_if('aiprovider_openai/globalratelimit', 'aiprovider_openai/enableglobalratelimit', 'eq', 0);

    // Setting to enable/disable user rate limiting.
    $settings->add(new admin_setting_configcheckbox(
        'aiprovider_openai/enableuserratelimit',
        new lang_string('enableuserratelimit', 'aiprovider_openai'),
        new lang_string('enableuserratelimit_desc', 'aiprovider_openai'),
        0,
    ));

    // Setting to set how many requests per hour are allowed for the user rate limit.
    // Should only be enabled when user rate limiting is enabled.
    $settings->add(new admin_setting_configtext(
        'aiprovider_openai/userratelimit',
        new lang_string('userratelimit', 'aiprovider_openai'),
        new lang_string('userratelimit_desc', 'aiprovider_openai'),
        10,
        PARAM_INT,
    ));
    $settings->hide_if('aiprovider_openai/userratelimit', 'aiprovider_openai/enableuserratelimit', 'eq', 0);

Minimal configuration

Each provider will need to specify what it takes to achieve minimal configuration. The parent method is_provider_configured() will return false by default and will need to be overwritten by the child class.

The is_provider_configured() must return true for UI component visibility and functionality.

For example, the aiprovider_azureai provider checks values are set for $this->apikey and $this->apiendpoint and returns the result.

    public function is_provider_configured(): bool {
        return !empty($this->apikey) && !empty($this->apiendpoint);
    }