chatkit-streaming

Real-time streaming in ChatKit uses lifecycle hooks like onResponseStart and onResponseEnd to manage response states. Apply these patterns in your frontend and backend to handle initial user messages, streaming AI responses, and multi-step interactions, enabling responsive UI updates as data flows.

Key lifecycle events include onResponseStart, onResponseEnd, onEffect for client effects, and ProgressUpdateEvent for progress reporting. These hooks manage thread lifecycle handling and state persistence across UI and API layers during streaming interactions.

Hook ProgressUpdateEvent into your chat UI to capture streaming progress updates. This allows you to display real-time indicators during AI response generation, improving user experience by showing activity during multi-step interactions.

Yes, streaming patterns apply across frontend and backend contexts. Use onResponseStart, onResponseEnd, onEffect, and ProgressUpdateEvent in both layers to maintain consistent lifecycle control and thread state persistence throughout your ChatKit application.

Use thread lifecycle handling patterns within the streaming framework to maintain state across initial messages, ongoing streams, and multi-step interactions. This ensures consistent thread context across UI and API layers during responsive streaming scenarios.