moodle-ai-integration

Integrate AI features into Moodle 4.5+ by creating custom Action and Response classes, then use the AI manager to process actions with policy checks and database logging. This connects your prompts and AI service calls directly into Moodle's AI subsystem.

Actions persist prompts and results, Providers wire AI capabilities into workflows, and Placements define where AI features appear in Moodle. Together they form the functional components required to build AI-powered features within Moodle's framework.

Yes, policy checks are required before AI action use. You must implement policy status validation and logging via AJAX webservices and a database table to ensure compliance and track AI usage across your Moodle environment.

Create a custom Action class with a store() method to persist prompts and results. Pair it with a Response class that implements set_response_data(), then register both with the AI manager to handle external AI service calls.

Set up a database table for action records and implement AJAX webservices for policy status queries. This enables you to persist action history, enforce policy compliance, and audit AI feature usage across your Moodle instance.