πŸ“… April 14, 2026⏱ 7 min read✍️ MoltBot Engineering
StreamingArchitectureUX

Streaming LLM Responses: SSE, WebSockets & UX Patterns

LLM streaming dramatically improves perceived latency β€” users see content appear token-by-token instead of waiting seconds for a complete response. Here's how streaming works, when to use SSE vs WebSockets, and how to handle partial responses gracefully.

Without streaming, a user submits a query and waits 5–15 seconds staring at a blank space. With streaming, text starts appearing within 200–500ms (TTFT) and flows continuously as the model generates. The total latency is identical β€” but the perceived experience is completely different.

SSE vs WebSockets

πŸ“‘ Server-Sent Events (SSE)

  • One-way: server β†’ client
  • Built on HTTP β€” works through proxies
  • Automatic reconnection
  • Simpler to implement
  • Best for: chatbots, document generation

πŸ”Œ WebSockets

  • Bidirectional: full duplex
  • Lower overhead per message
  • Better for interactive, back-and-forth
  • More complex (connection management)
  • Best for: voice interfaces, live collaboration

For most LLM streaming use cases, SSE is the right choice. It's simpler, works through corporate proxies, and the one-directional constraint fits the request→stream pattern perfectly.

Python streaming backend (FastAPI)

from fastapi import FastAPI from fastapi.responses import StreamingResponse from moltbot import Client app = FastAPI() client = Client() async def token_stream(prompt: str): async for chunk in client.stream(prompt): yield f"data: {chunk.text}\n\n" # SSE format yield "data: [DONE]\n\n" @app.get("/stream") async def stream(prompt: str): return StreamingResponse( token_stream(prompt), media_type="text/event-stream" )

React client for streaming

const streamResponse = async (prompt) => { const response = await fetch(`/stream?prompt=${prompt}`); const reader = response.body.getReader(); const decoder = new TextDecoder(); while (true) { const { done, value } = await reader.read(); if (done) break; const text = decoder.decode(value).replace("data: ", "").trim(); if (text === "[DONE]") break; setOutput(prev => prev + text); // append each token } };

UX patterns for streaming

Built-in streaming on MoltBot

SSE streaming, progressive markdown rendering, and cancel support β€” zero config. 14-day free trial.

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