gh-k-dense-ai-claude-scientific-skills-scientific-skills/skills/modal/references/web-endpoints.md

Web Endpoints

Quick Start

Create web endpoint with single decorator:

image = modal.Image.debian_slim().pip_install("fastapi[standard]")

@app.function(image=image)
@modal.fastapi_endpoint()
def hello():
    return "Hello world!"

Development and Deployment

Development with modal serve

modal serve server.py

Creates ephemeral app with live-reloading. Changes to endpoints appear almost immediately.

Deployment with modal deploy

modal deploy server.py

Creates persistent endpoint with stable URL.

Simple Endpoints

Query Parameters

@app.function(image=image)
@modal.fastapi_endpoint()
def square(x: int):
    return {"square": x**2}

Call with:

curl "https://workspace--app-square.modal.run?x=42"

POST Requests

@app.function(image=image)
@modal.fastapi_endpoint(method="POST")
def square(item: dict):
    return {"square": item['x']**2}

Call with:

curl -X POST -H 'Content-Type: application/json' \
  --data '{"x": 42}' \
  https://workspace--app-square.modal.run

Pydantic Models

from pydantic import BaseModel

class Item(BaseModel):
    name: str
    qty: int = 42

@app.function()
@modal.fastapi_endpoint(method="POST")
def process(item: Item):
    return {"processed": item.name, "quantity": item.qty}

ASGI Apps (FastAPI, Starlette, FastHTML)

Serve full ASGI applications:

image = modal.Image.debian_slim().pip_install("fastapi[standard]")

@app.function(image=image)
@modal.concurrent(max_inputs=100)
@modal.asgi_app()
def fastapi_app():
    from fastapi import FastAPI

    web_app = FastAPI()

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

    @web_app.post("/echo")
    async def echo(request: Request):
        body = await request.json()
        return body

    return web_app

WSGI Apps (Flask, Django)

Serve synchronous web frameworks:

image = modal.Image.debian_slim().pip_install("flask")

@app.function(image=image)
@modal.concurrent(max_inputs=100)
@modal.wsgi_app()
def flask_app():
    from flask import Flask, request

    web_app = Flask(__name__)

    @web_app.post("/echo")
    def echo():
        return request.json

    return web_app

Non-ASGI Web Servers

For frameworks with custom network binding:

@app.function()
@modal.concurrent(max_inputs=100)
@modal.web_server(8000)
def my_server():
    import subprocess
    # Must bind to 0.0.0.0, not 127.0.0.1
    subprocess.Popen("python -m http.server -d / 8000", shell=True)

Streaming Responses

Use FastAPI's StreamingResponse:

import time

def event_generator():
    for i in range(10):
        yield f"data: event {i}\n\n".encode()
        time.sleep(0.5)

@app.function(image=modal.Image.debian_slim().pip_install("fastapi[standard]"))
@modal.fastapi_endpoint()
def stream():
    from fastapi.responses import StreamingResponse
    return StreamingResponse(
        event_generator(),
        media_type="text/event-stream"
    )

Streaming from Modal Functions

@app.function(gpu="any")
def process_gpu():
    for i in range(10):
        yield f"data: result {i}\n\n".encode()
        time.sleep(1)

@app.function(image=modal.Image.debian_slim().pip_install("fastapi[standard]"))
@modal.fastapi_endpoint()
def hook():
    from fastapi.responses import StreamingResponse
    return StreamingResponse(
        process_gpu.remote_gen(),
        media_type="text/event-stream"
    )

With .map()

@app.function()
def process_segment(i):
    return f"segment {i}\n"

@app.function(image=modal.Image.debian_slim().pip_install("fastapi[standard]"))
@modal.fastapi_endpoint()
def stream_parallel():
    from fastapi.responses import StreamingResponse
    return StreamingResponse(
        process_segment.map(range(10)),
        media_type="text/plain"
    )

WebSockets

Supported with @web_server, @asgi_app, and @wsgi_app. Maintains single function call per connection. Use with @modal.concurrent for multiple simultaneous connections.

Full WebSocket protocol (RFC 6455) supported. Messages up to 2 MiB each.

Authentication

Proxy Auth Tokens

First-class authentication via Modal:

@app.function()
@modal.fastapi_endpoint()
def protected():
    return "authenticated!"

Protect with tokens in settings, pass in headers:

• Modal-Key
• Modal-Secret

Bearer Token Authentication

from fastapi import Depends, HTTPException, status
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials

auth_scheme = HTTPBearer()

@app.function(secrets=[modal.Secret.from_name("auth-token")])
@modal.fastapi_endpoint()
async def protected(token: HTTPAuthorizationCredentials = Depends(auth_scheme)):
    import os
    if token.credentials != os.environ["AUTH_TOKEN"]:
        raise HTTPException(
            status_code=status.HTTP_401_UNAUTHORIZED,
            detail="Invalid token"
        )
    return "success!"

Client IP Address

from fastapi import Request

@app.function()
@modal.fastapi_endpoint()
def get_ip(request: Request):
    return f"Your IP: {request.client.host}"

Web Endpoint URLs

Auto-Generated URLs

Format: https://<workspace>--<app>-<function>.modal.run

With environment suffix: https://<workspace>-<suffix>--<app>-<function>.modal.run

Custom Labels

@app.function()
@modal.fastapi_endpoint(label="api")
def handler():
    ...
# URL: https://workspace--api.modal.run

Programmatic URL Retrieval

@app.function()
@modal.fastapi_endpoint()
def my_endpoint():
    url = my_endpoint.get_web_url()
    return {"url": url}

# From deployed function
f = modal.Function.from_name("app-name", "my_endpoint")
url = f.get_web_url()

Custom Domains

Available on Team and Enterprise plans:

@app.function()
@modal.fastapi_endpoint(custom_domains=["api.example.com"])
def hello(message: str):
    return {"message": f"hello {message}"}

Multiple domains:

@modal.fastapi_endpoint(custom_domains=["api.example.com", "api.example.net"])

Wildcard domains:

@modal.fastapi_endpoint(custom_domains=["*.example.com"])

TLS certificates automatically generated and renewed.

Performance

Cold Starts

First request may experience cold start (few seconds). Modal keeps containers alive for subsequent requests.

Scaling

• Autoscaling based on traffic
• Use @modal.concurrent for multiple requests per container
• Beyond concurrency limit, additional containers spin up
• Requests queue when at max containers

Rate Limits

Default: 200 requests/second with 5-second burst multiplier

• Excess returns 429 status code
• Contact support to increase limits

Size Limits

• Request body: up to 4 GiB
• Response body: unlimited
• WebSocket messages: up to 2 MiB