Event Handling
Event handling components enable event-driven workflows and asynchronous communication within BroxiAI, supporting notification systems and event listeners.
Notify
The Notify component sends notifications and events to other components or external systems.
Usage
Notify component features:
Event broadcasting
Notification delivery
Message routing
Status updates
Workflow coordination
Inputs
message
Message
Message or notification to send
event_type
Event Type
Type of event being notified
recipients
Recipients
Target recipients for the notification
priority
Priority
Notification priority level
delivery_method
Delivery Method
Method of notification delivery
Outputs
notification_sent
Notification Sent
Confirmation of notification delivery
delivery_status
Delivery Status
Status of notification delivery
event_id
Event ID
Unique identifier for the event
Listen
The Listen component receives and processes events from other components or external sources.
Usage
Listen component capabilities:
Event subscription
Message reception
Event filtering
Reactive processing
Workflow triggering
Inputs
event_types
Event Types
Types of events to listen for
filter_criteria
Filter Criteria
Criteria for filtering received events
timeout
Timeout
Maximum time to wait for events
max_events
Max Events
Maximum number of events to process
Outputs
received_events
Received Events
Events received and processed
event_data
Event Data
Data payload from received events
trigger_signal
Trigger Signal
Signal to trigger downstream components
Event Types
System Events
Workflow Started: Workflow execution begins
Workflow Completed: Workflow execution finishes
Component Started: Individual component starts
Component Completed: Individual component finishes
Error Occurred: Error or exception events
Data Events
Data Received: New data available
Data Processed: Data processing complete
Data Updated: Data modification events
Data Deleted: Data removal events
Data Validated: Data validation results
User Events
User Input: User interaction events
User Action: User-triggered actions
User Login: User authentication events
User Logout: User session termination
User Preference: User setting changes
External Events
API Response: External API responses
File Changes: File system changes
Database Updates: Database modification events
Schedule Triggers: Time-based triggers
Webhook Calls: Incoming webhook events
Event Patterns
Publisher-Subscriber
Event Publishers: Components that emit events
Event Subscribers: Components that listen for events
Event Channels: Named channels for event routing
Topic-based: Subscribe to specific event topics
Pattern-based: Subscribe using pattern matching
Request-Response
Synchronous: Immediate response expected
Asynchronous: Response delivered later
Correlation: Match responses to requests
Timeout Handling: Handle response timeouts
Error Propagation: Handle error responses
Event Sourcing
Event Store: Persistent event storage
Event Replay: Recreate state from events
Event Versioning: Handle event schema changes
Snapshots: Periodic state snapshots
Projections: Build views from events
Advanced Features
Event Filtering
Type Filtering: Filter by event type
Content Filtering: Filter by event content
Source Filtering: Filter by event source
Time Filtering: Filter by time ranges
Custom Filters: User-defined filter logic
Event Transformation
Format Conversion: Convert event formats
Data Enrichment: Add context to events
Data Reduction: Remove unnecessary data
Aggregation: Combine multiple events
Routing: Route events to different handlers
Reliability Features
Delivery Guarantees: At-least-once, exactly-once delivery
Retry Logic: Automatic retry on failures
Dead Letter Queues: Handle failed events
Circuit Breakers: Prevent cascade failures
Backpressure: Handle overload situations
Use Cases
Workflow Orchestration
Process Coordination: Coordinate multi-step processes
State Management: Track workflow state changes
Error Handling: Handle workflow errors
Recovery: Recover from failures
Monitoring: Monitor workflow progress
Real-time Processing
Stream Processing: Process event streams
Real-time Analytics: Real-time data analysis
Live Updates: Live UI updates
Alerting: Real-time alerting systems
Monitoring: System monitoring and alerts
Integration Patterns
System Integration: Integrate disparate systems
Microservices: Microservice communication
Event-driven Architecture: Build event-driven systems
Saga Patterns: Distributed transaction patterns
CQRS: Command Query Responsibility Segregation
Usage Notes
Asynchronous: Designed for asynchronous communication
Scalable: Handle high-volume event processing
Reliable: Robust delivery and error handling
Flexible: Support various event patterns
Monitoring: Comprehensive event monitoring
Performance: Optimized for low-latency event processing
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