streaming-llm-responses

Real-time streaming feedback connects response lifecycle events—onResponseStart, onResponseEnd, token delivery—to UI updates without blocking user interaction. Wire lifecycle handlers and client effects to manage incremental token rendering and thread state synchronization across web components.

Lifecycle events (onResponseStart, onResponseEnd, ProgressUpdateEvent) fire at specific points during response delivery. Use them to trigger client effects, update UI components, and coordinate thread state changes, enabling reactive chat interfaces that respond to token streams and completion signals.

Non-blocking UI updates require event-driven patterns where onEffect handlers process token streams asynchronously, preventing the UI thread from stalling. Thread state synchronization and client-tool effects coordinate updates across components while maintaining responsiveness.

Yes. Coordinate thread changes using lifecycle event handlers and client effects to lock/unlock UI components during response delivery. This ensures consistent state across clients and prevents race conditions when multiple components react to streaming updates.

onResponseStart triggers once when response begins, marking the lifecycle boundary. onEffect handles incremental updates throughout streaming delivery. Use onResponseStart for initialization and onEffect for continuous token processing and dynamic UI reactions.

No framework dependency is required. Implement streaming by specifying frontend/backend interaction patterns—event handling, token delivery protocols, and safety practices for non-blocking updates. The approach adapts to your existing architecture and client-tool setup.