Backend Boilerplates
python
Advanced
OpenAI Streaming Response
Stream a ChatGPT response token-by-token to the client using FastAPI StreamingResponse.
python
from fastapi import FastAPI
from fastapi.responses import StreamingResponse
from openai import AsyncOpenAI
app = FastAPI()
client = AsyncOpenAI()
@app.post("/chat")
async def chat(prompt: str):
async def token_stream():
async for chunk in await client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "user", "content": prompt}],
stream=True,
):
delta = chunk.choices[0].delta.content or ""
if delta:
yield delta
return StreamingResponse(token_stream(), media_type="text/plain")
Prerequisites
- openai >= 1.0
- fastapi
Pro Tips
- → Use Server-Sent Events for browser clients.
Commercial Licensing
Acquire a production access token or template license for enterprise deployment.
Module Info
- Language
- python
- Level
- Advanced
- Read time
- 5 min
- Published
- Aug 2025
- License
- Commercial License
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