Streaming Responses at Scale
Build real-time AI experiences using streaming responses
Streaming makes your app feel instant. Instead of waiting 3–10 seconds for a full response, users see tokens immediately—and that dramatically improves engagement. This guide focuses on: • UX patterns (typing indicators, partial rendering) • Correct handling of disconnects/network errors • Scaling streaming connections safely
How Streaming Works
Synqly streams tokens as they are generated using Server-Sent Events (SSE). This allows: • Immediate UI updates • Typing indicators • Progressive rendering
Frontend Considerations
When implementing streaming: • Handle partial tokens • Support cancellation • Show loading indicators • Gracefully handle disconnects
Scaling Streaming Systems
At scale, streaming introduces challenges: • Long-lived connections • Memory usage • Concurrent stream limits • Backpressure handling
Failure Modes
Always plan for: • Network interruptions • Provider stream termination • Partial responses • Client reconnects
Streaming UX Tips
Small UX touches matter: • Render markdown progressively (or render plain text until complete) • Allow users to cancel generation • Show “Connection lost, retrying…” on disconnect • Persist the partial response (so users don’t lose it)