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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate with JPEG XL Support
# Description: A production-ready FastAPI boilerplate with Pydantic v2 and support for JPEG XL images
# Author: [Your Name]

from fastapi import FastAPI, UploadFile, File
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from typing import Optional
import uvicorn
from PIL import Image
import io
import os

app = FastAPI()

# Define a Pydantic model for image metadata
class ImageMetadata(BaseModel):
    """Image metadata model"""
    filename: str
    width: int
    height: int
    format: str

# Define a route for uploading images
@app.post("/upload_image")
async def upload_image(image: UploadFile = File(...)):
    """
    Upload an image and return its metadata

:param image: The uploaded image file
    :return: A JSON response with the image metadata
    """
    try:
        # Read the image file
        image_data = await image.read()
        image_stream = io.BytesIO(image_data)

# Open the image using PIL
        img = Image.open(image_stream)

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