WebSocket support is now available for Python Functions
Quick Answer
Vercel now enables WebSocket connections for Python applications, supporting real-time features in frameworks like FastAPI, Django, and Flask.
Quick Take
This allows bidirectional communication, enhancing interactive AI streaming and collaboration capabilities for developers deploying on Vercel Functions.
Key Points
- WebSocket support enhances real-time communication in Python applications.
- Compatible with ASGI and WSGI frameworks including FastAPI, Django, and Flask.
- Enables features like interactive AI streaming and real-time chat.
- Example provided for a Python WebSocket server using FastAPI.
- Documentation available for further exploration of WebSocket capabilities.
📖 Reader Mode
~1 min readVercel now supports WebSocket connections for Python applications.
WebSockets enable bidirectional communication between client- and server-side code, powering real-time features like interactive AI streaming, real-time chat, and multiplayer live collaboration. Both ASGI and WSGI applications are supported, including frameworks like FastAPI, Django, and Flask.
app.py
import fastapi
app = fastapi.FastAPI()
@app.websocket("/api/ws")
async def websocket_endpoint(websocket: fastapi.WebSocket):
await websocket.accept()
try:
while True:
message = await websocket.receive_text()
await websocket.send_text(message)
except fastapi.WebSocketDisconnect:
pass
Python WebSocket server using FastAPI, deployed as a Vercel Function
Explore the FastAPI AI Chat and Flask AI Chat examples, or read the WebSockets documentation to get started.
— Originally published at vercel.com
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