Event

Definition: A process that represents a significant occurrence or change in state within AI systems.

Parent: Process

See also: Trigger, Workflow

Modeling Notes

• Events represent discrete occurrences that can trigger system responses
• They have specific temporal boundaries and can carry information
• Important for event-driven AI architectures and reactive systems
• Can be generated by user actions, system processes, or external sources
• Foundation for monitoring, logging, and system coordination

Examples

• User interaction events (queries, clicks, submissions)
• System state change events (startup, shutdown, error)
• Data processing completion events
• AI model inference completion events
• Workflow milestone and completion events

Key Properties

• Event Type - Classification of the event (user, system, external)
• Event Data - Information payload carried by the event
• Timestamp - When the event occurred
• Source - What generated or caused the event
• Severity Level - Importance or criticality of the event