websockets-sse

name	websockets-sse
description	Use when building real-time features with WebSockets or SSE — choosing between the two, implementing connection management and heartbeats, scaling broadcasts across workers with Redis, handling backpressure, writing tests for streaming endpoints, or debugging connection drops and missed events.

WebSockets and SSE Patterns

Real-time communication patterns for FastAPI: WebSockets for bidirectional, SSE for server-push.

When to Activate

• Building real-time features (live updates, streaming LLM output, notifications)
• Choosing between WebSockets and SSE for a use case
• Implementing connection management (connect/disconnect, broadcast)
• Scaling real-time across multiple workers with Redis
• Handling backpressure or slow consumers disconnecting other clients
• Writing tests for SSE or WebSocket endpoints
• Implementing Node.js server-side WebSocket handling
• Debugging connection drops, backpressure, or missed events
• Implementing heartbeats and client-side reconnection

---

WebSocket vs SSE — When to Use Which

	WebSocket	SSE
Direction	Bidirectional	Server → client only
Protocol	ws:// / wss://	Plain HTTP
Browser reconnect	Manual	Automatic (EventSource)
Proxy / CDN support	Needs config	Works everywhere
Use case	Chat, collaborative editing, games	Notifications, live feeds, LLM streaming
Load balancer sticky sessions	Required (or Redis)	Required (or Redis)

Rule of thumb: use SSE unless the client needs to send frequent messages (more than form submit). LLM token streaming → SSE. Chat → WebSocket.

---

SSE with FastAPI

Basic SSE endpoint

import asyncio
from fastapi import APIRouter
from fastapi.responses import StreamingResponse

router = APIRouter()

async def event_generator(task_id: str):
    """Yield SSE-formatted strings."""
    while True:
        data = await get_next_update(task_id)   # your async data source
        if data is None:
            break
        yield f"data: {data}\n\n"   # SSE format: "data: ...\n\n"
        await asyncio.sleep(0)       # yield control to event loop

@router.get("/tasks/{task_id}/stream")
async def stream_task(task_id: str):
    return StreamingResponse(
        event_generator(task_id),
        media_type="text/event-stream",
        headers={
            "Cache-Control": "no-cache",
            "X-Accel-Buffering": "no",   # disable nginx buffering
        },
    )

SSE with Redis Streams (Agentex pattern)

import json
import redis.asyncio as redis
from fastapi import APIRouter, Depends
from fastapi.responses import StreamingResponse

router = APIRouter()

async def stream_from_redis(task_id: str, client: redis.Redis):
    """Read Redis Stream and forward as SSE."""
    stream_key = f"task:{task_id}:stream"
    last_id = "0-0"

    while True:
        messages = await client.xread({stream_key: last_id}, count=10, block=5000)

        if not messages:
            # Heartbeat — keeps connection alive through proxies
            yield ": heartbeat\n\n"
            continue

        for _, entries in messages:
            for msg_id, fields in entries:
                last_id = msg_id
                event_type = fields.get("type", "message")
                data = fields.get("data", "")

                if event_type == "done":
                    yield f"event: done\ndata: {{}}\n\n"
                    return

                yield f"event: {event_type}\ndata: {data}\n\n"

@router.get()
  ():
     StreamingResponse(
        stream_from_redis(task_id, redis_client),
        media_type=,
        headers={: , : },
    )

SSE message format

# Standard event
data: {"status": "running", "progress": 42}\n\n

# Named event (client listens with addEventListener)
event: progress\n
data: {"percent": 42}\n\n

# Event with ID (browser remembers for reconnect)
id: 123\n
event: update\n
data: hello\n\n

# Heartbeat / comment (keeps connection alive, ignored by client)
: ping\n\n

---

WebSocket with FastAPI

Basic endpoint

from fastapi import WebSocket, WebSocketDisconnect, APIRouter
import json

router = APIRouter()

@router.websocket("/ws/{client_id}")
async def websocket_endpoint(websocket: WebSocket, client_id: str):
    await websocket.accept()
    try:
        while True:
            # Receive text or JSON
            raw = await websocket.receive_text()
            message = json.loads(raw)

            # Send response
            await websocket.send_text(json.dumps({"echo": message, "from": client_id}))
            # or: await websocket.send_json({"echo": message})
    except WebSocketDisconnect:
        print(f"Client {client_id} disconnected")

Connection Manager (multi-client broadcast)

from fastapi import WebSocket
import asyncio

class ConnectionManager:
    def __init__(self):
        self.active: dict[str, WebSocket] = {}

    async def connect(self, client_id: str, ws: WebSocket):
        await ws.accept()
        self.active[client_id] = ws

    def disconnect(self, client_id: str):
        self.active.pop(client_id, None)

    async def send(self, client_id: str, message: dict):
        ws = self.active.get(client_id)
        if ws:
            try:
                await ws.send_json(message)
            except Exception:
                self.disconnect(client_id)

    async def broadcast(self, message: dict, exclude: str | None = None):
        dead = []
        for cid, ws in self.active.items():
            if cid == exclude:
                
            :
                 ws.send_json(message)
             Exception:
                dead.append(cid)
         cid  dead:
            .disconnect(cid)

manager = ConnectionManager()


  ():
     manager.connect(client_id, websocket)
    :
         :
            data =  websocket.receive_json()
             manager.broadcast(
                {: client_id, : data[]},
                exclude=client_id,
            )
     WebSocketDisconnect:
        manager.disconnect(client_id)
         manager.broadcast({: })

Heartbeat (keep-alive for WebSocket)

import asyncio
from fastapi import WebSocket

async def keep_alive(ws: WebSocket, interval: int = 30):
    """Send ping every N seconds to detect dead connections."""
    while True:
        await asyncio.sleep(interval)
        try:
            await ws.send_json({"type": "ping"})
        except Exception:
            break

@router.websocket("/ws/{client_id}")
async def ws_with_heartbeat(websocket: WebSocket, client_id: str):
    await websocket.accept()
    heartbeat = asyncio.create_task(keep_alive(websocket))
    try:
        while True:
            data = await websocket.receive_json()
            if data.get("type") == "pong":
                continue
            await handle_message(data)
    except WebSocketDisconnect:
        pass
    finally:
        heartbeat.cancel()

---

Scaling with Redis Pub/Sub (multi-worker)

Without Redis, broadcast only reaches clients on the same worker process. Redis pub/sub fans out across all workers.

import asyncio
import redis.asyncio as redis
from fastapi import WebSocket

class RedisConnectionManager:
    def __init__(self, redis_client: redis.Redis):
        self.redis = redis_client
        self.local: dict[str, WebSocket] = {}

    async def connect(self, client_id: str, ws: WebSocket, room: str):
        await ws.accept()
        self.local[client_id] = ws
        # Subscribe to room channel and forward to this WS
        asyncio.create_task(self._subscribe_and_forward(client_id, room, ws))

    async def _subscribe_and_forward(self, client_id: str, room: str, ws: WebSocket):
        async with self.redis.pubsub() as pubsub:
            await pubsub.subscribe(f"room:{room}")
            try:
                async for msg in pubsub.listen():
                    if msg["type"] == "message":
                        await ws.send_text(msg["data"])
             Exception:
                

      ():
        
         .redis.publish(, message)

     ():
        .local.pop(client_id, )

---

Client-Side

EventSource (SSE)

const source = new EventSource(`/tasks/${taskId}/events`);

// Default event
source.onmessage = (event) => {
  const data = JSON.parse(event.data);
  console.log(data);
};

// Named events
source.addEventListener("progress", (event) => {
  const data = JSON.parse(event.data);
  setProgress(data.percent);
});

source.addEventListener("done", () => {
  source.close();
});

source.onerror = (error) => {
  // EventSource auto-reconnects after 3s by default
  console.error("SSE error", error);
};

// Manual close
source.close();

WebSocket (browser)

const ws = new WebSocket(`wss://api.example.com/ws/${clientId}`);

ws.onopen = () => {
  ws.send(JSON.stringify({ type: "join", room: "general" }));
};

ws.onmessage = (event) => {
  const msg = JSON.parse(event.data);
  if (msg.type === "ping") {
    ws.send(JSON.stringify({ type: "pong" }));
    return;
  }
  handleMessage(msg);
};

ws.onclose = (event) => {
  console.log("Closed:", event.code, event.reason);
  // Reconnect with backoff
  setTimeout(() => reconnect(), Math.min(1000 * 2 ** attempts, 30000));
};

ws.onerror = (error) => console.(, error);


ws.(.({ : , :  }));
ws.();

React SSE hook

function useSSE(url: string | null) {
  const [data, setData] = useState<string[]>([]);
  const [done, setDone] = useState(false);

  useEffect(() => {
    if (!url) return;
    const source = new EventSource(url);

    source.onmessage = (e) => setData(prev => [...prev, e.data]);
    source.addEventListener("done", () => { setDone(true); source.close(); });
    source.onerror = () => source.close();

    return () => source.close();
  }, [url]);

  return { data, done };
}

---

Authentication

# WebSocket auth via query param (token in URL — use wss:// only)
@router.websocket("/ws")
async def ws_auth(websocket: WebSocket, token: str = Query(...)):
    user = decode_jwt(token)
    if not user:
        await websocket.close(code=1008)   # policy violation
        return
    await websocket.accept()
    ...

# SSE auth via cookie or Authorization header (handled by FastAPI Depends)
@router.get("/stream")
async def sse_auth(
    request: Request,
    current_user: User = Depends(get_current_user),  # reads Authorization header
):
    return StreamingResponse(generator(current_user), media_type="text/event-stream")

---

Scaling Strategy — Which to Use

Strategy	Broadcast scope	Durability	Reconnect replay	Use when
In-process dict	Same worker only	None	No	Single-process dev/test only
Sticky sessions (LB)	Same worker only	None	No	< 5k connections, stateful protocol
Redis Pub/Sub	All workers	None	No	Chat rooms, live dashboards, fan-out
Redis Streams	All workers	Yes (log)	Yes (by ID)	Task streaming, clients that rejoin mid-stream

Choosing between Pub/Sub and Streams: use Streams when a reconnecting client must replay messages it missed. Pub/Sub messages are fire-and-forget — a client that disconnects for 2 seconds loses everything in that window.

---

Node.js / TypeScript Server

For non-FastAPI stacks. Uses the ws package.

WebSocket server (ws + Express)

import { WebSocketServer, WebSocket } from 'ws';
import { createServer } from 'http';
import express from 'express';

const app = express();
const server = createServer(app);
const wss = new WebSocketServer({ server });

const clients = new Map<string, WebSocket>();

wss.on('connection', (ws, req) => {
  const clientId = new URL(req.url!, 'http://x').searchParams.get('id') ?? crypto.randomUUID();
  clients.set(clientId, ws);

  // Heartbeat
  const ping = setInterval(() => {
    if (ws.readyState === WebSocket.OPEN) ws.ping();
  }, 30_000);

  ws.on('message', (raw) => {
    const msg = .(raw.());
     ( [id, client]  clients) {
       (id !== clientId && client. === .) {
        client.(.({ : clientId, ...msg }));
      }
    }
  });

  ws.(,  {
    clients.(clientId);
    (ping);
  });
});

server.();

SSE endpoint (Express)

import express from 'express';

const app = express();

app.get('/stream/:id', (req, res) => {
  res.setHeader('Content-Type', 'text/event-stream');
  res.setHeader('Cache-Control', 'no-cache');
  res.setHeader('X-Accel-Buffering', 'no');
  res.flushHeaders();

  const send = (event: string, data: unknown) => {
    res.write(`event: ${event}\ndata: ${JSON.stringify(data)}\n\n`);
  };

  const heartbeat = setInterval(() => res.write(': ping\n\n'), 30_000);

  // Subscribe to your event emitter / Redis channel here
  const unsub = eventBus.on(req.params.id, (payload) => send('update', payload));

  req.on('close', () => {
    clearInterval(heartbeat);
    unsub();
  });
});

---

Backpressure & Slow Consumers

A slow client that can't drain its send buffer blocks await ws.send_json() indefinitely, stalling the broadcast loop and starving other clients.

FastAPI — timeout on send:

import asyncio
from fastapi import WebSocket, WebSocketDisconnect

async def safe_send(ws: WebSocket, message: dict, timeout: float = 5.0) -> bool:
    """Returns False and disconnects if client cannot receive within timeout."""
    try:
        await asyncio.wait_for(ws.send_json(message), timeout=timeout)
        return True
    except (asyncio.TimeoutError, Exception):
        await ws.close(code=1001)  # going away
        return False

async def broadcast(manager: ConnectionManager, message: dict):
    dead = []
    for cid, ws in manager.active.items():
        ok = await safe_send(ws, message)
        if not ok:
            dead.append(cid)
    for cid in dead:
        manager.disconnect(cid)

Node.js — check bufferedAmount before sending:

function safeSend(ws: WebSocket, data: string, maxBuffer = 64 * 1024): boolean {
  if (ws.bufferedAmount > maxBuffer) {
    ws.terminate();  // hard close — don't wait
    return false;
  }
  ws.send(data);
  return true;
}

---

Testing Real-Time Endpoints

FastAPI — WebSocket (pytest + TestClient)

from fastapi.testclient import TestClient
from app.main import app

def test_websocket_echo():
    client = TestClient(app)
    with client.websocket_connect("/ws/user1") as ws:
        ws.send_json({"type": "message", "text": "hello"})
        data = ws.receive_json()
        assert data["from"] == "user1"
        assert data["text"] == "hello"

def test_websocket_broadcast():
    client = TestClient(app)
    with client.websocket_connect("/ws/a") as ws_a, \
         client.websocket_connect("/ws/b") as ws_b:
        ws_a.send_json({"type": "message", "text": "hi"})
        data = ws_b.receive_json()
        assert data["from"] == "a"

FastAPI — SSE (pytest + httpx AsyncClient)

import json
import pytest
from httpx import AsyncClient, ASGITransport
from app.main import app

@pytest.mark.asyncio
async def test_sse_stream():
    async with AsyncClient(transport=ASGITransport(app=app), base_url="http://test") as client:
        events = []
        async with client.stream("GET", "/tasks/task-1/stream") as resp:
            assert resp.status_code == 200
            async for line in resp.aiter_lines():
                if line.startswith("data:"):
                    events.append(json.loads(line[5:].strip()))
                if any(e.get("type") == "done" for e in events):
                    break
        assert len(events) > 0

Node.js — ws (Jest + ws client)

import { WebSocketServer } from 'ws';
import WebSocket from 'ws';

test('broadcasts to other clients', (done) => {
  const wss = new WebSocketServer({ port: 0 });
  const { port } = wss.address() as { port: number };

  setupHandlers(wss);  // your connection logic

  const a = new WebSocket(`ws://localhost:${port}?id=a`);
  const b = new WebSocket(`ws://localhost:${port}?id=b`);

  b.on('message', (raw) => {
    const msg = JSON.parse(raw.toString());
    expect(msg.from).toBe('a');
    expect(msg.text).toBe('hello');
    wss.close(done);
  });

  a.on(,  a.(.({ :  })));
});

---

Red Flags

• WebSocket when SSE is sufficient — WebSocket requires sticky sessions or Redis coordination to scale and needs manual reconnection logic; if the server only pushes data (LLM tokens, task updates), SSE is simpler and supported everywhere with automatic browser reconnect
• No heartbeat on long-lived connections — proxies and load balancers close idle connections after 30–60 s by default; without a periodic ping/comment, clients silently lose their connection and receive no more events
• In-process broadcast across multiple workers — a dict[str, WebSocket] in memory only contains clients connected to the current worker; workers on different processes or machines never see each other's clients; use Redis pub/sub or Streams to fan out across all workers
• Missing X-Accel-Buffering: no header on SSE — nginx buffers upstream responses by default and holds SSE data until its internal buffer fills; the client sees bursts instead of real-time events; always set this header on SSE endpoints
• Not closing EventSource after a done event — EventSource auto-reconnects after any close; if the server ends the stream without the client calling source.close(), the browser reconnects and restarts the stream indefinitely
• Blocking synchronous calls inside an SSE generator — a time.sleep() or synchronous DB call inside an async generator blocks the entire event loop and freezes all other SSE connections on that worker; always use await asyncio.sleep(0) to yield control
• xread with block=0 — blocking forever (block=0) holds the Redis connection open indefinitely and prevents graceful shutdown; use block=5000 (5-second timeout) and loop, so the generator can detect disconnects and clean up

Checklist

• SSE used for server-push only (LLM streaming, task updates, notifications)
• WebSocket used only when client sends messages frequently
• Cache-Control: no-cache and X-Accel-Buffering: no headers on SSE responses
• Heartbeat/ping sent every 30s to detect dead connections through proxies
• Redis pub/sub or Streams used for broadcast across multiple workers
• Client-side EventSource errors handled (auto-reconnects, but log errors)
• WebSocket auth via query param token (not headers — browsers can't set WS headers)
• await asyncio.sleep(0) inside SSE generators to yield to event loop
• Stream ended with event: done so client knows to close and stop reconnecting
• Redis Stream xread uses block=5000 (5s timeout) not block=0 (blocks forever)
• Slow consumer handled — send_json wrapped with timeout; timed-out clients disconnected
• WebSocket tests use TestClient.websocket_connect or an in-process ws server (no real network)
• SSE tests use AsyncClient.stream + aiter_lines to consume events line-by-line
• Node.js: ws.bufferedAmount checked before send to detect slow consumers