⚡ Live Sandbox: AI Dev Tool: JPEG XL vs AVIF

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```python
# AI Dev Tool: Image Optimization Service (ios)
# Description: A production-ready API integration wrapper for JPEG XL and AVIF image optimization
# Author: [Your Name]

import os
import json
from fastapi import FastAPI, UploadFile, File
from fastapi.responses import JSONResponse
from fastapi.exceptions import HTTPException
from pydantic import BaseModel
from typing import Optional
from PIL import Image
import aviflib
import jpegxl

app = FastAPI()

class ImageOptimizationRequest(BaseModel):
    """Request model for image optimization"""
    image: UploadFile
    format: str  # "jpegxl" or "avif"
    quality: Optional[int]  # quality of the optimized image (1-100)

class ImageOptimizationResponse(BaseModel):
    """Response model for image optimization"""
    optimized_image: str  # base64 encoded optimized image

@app.post("/optimize")
async def optimize_image(request: ImageOptimizationRequest):
    """
    Optimize an image using JPEG XL or AVIF format.

Args:
    - request (ImageOptimizationRequest): The request containing the image and optimization settings.

Returns:
    - ImageOptimizationResponse: The response containing the optimized image

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