Using ngrok with FastAPI - ngrok documentation

This guide shows you how to embed the ngrok agent into FastAPI applications using the ngrok-python library. It covers setting up a FastAPI application with ngrok integration for secure ingress.

ngrok-python and FastAPI libraries used in this example are sensitive to versions. Use of Virtual Environments is highly recommended.

What you’ll need

Python installed on your machine.
An ngrok account.
Your ngrok authtoken.

1. Install dependencies

Create a requirements.txt file with the following dependencies:

# requirements.txt
ngrok==1.4.0
uvicorn==0.29.0
fastapi==0.111.0
loguru==0.7.2

Install the dependencies:

pip install -r requirements.txt

2. Create the FastAPI application

Create a main.py file with the following code:

# main.py
from contextlib import asynccontextmanager
from os import getenv

import ngrok
import uvicorn
from fastapi import FastAPI
from loguru import logger

NGROK_AUTH_TOKEN = getenv("NGROK_AUTH_TOKEN", "")
APPLICATION_PORT = 5000

@asynccontextmanager
async def lifespan(app: FastAPI):
    logger.info("Setting up ngrok Endpoint")
    ngrok.set_auth_token(NGROK_AUTH_TOKEN)
    ngrok.forward(
        addr=APPLICATION_PORT,
    )
    yield
    logger.info("Tearing Down ngrok Endpoint")
    ngrok.disconnect()

app = FastAPI(lifespan=lifespan)

@app.get("/")
async def root():
    return {"message": "Hello World"}

if __name__ == "__main__":
    uvicorn.run("main:app", host="127.0.0.1", port=APPLICATION_PORT, reload=True)

Datadog Flask

​What you’ll need

​1. Install dependencies

​2. Create the FastAPI application

What you’ll need

1. Install dependencies

2. Create the FastAPI application