⚡ Live Interactive Code Sandbox: AI Dev Tool: FastAPI Pydantic v2 (v590)
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```python # AI Dev Tool: Aurora Edge API # Production Starter Boilerplate for Edge Computing with Cloudflare Workers and Hono import os import json from typing import Dict, List from pydantic import BaseModel from fastapi import FastAPI, HTTPException from fastapi.responses import JSONResponse from fastapi.requests import Request from fastapi.middleware.cors import CORSMiddleware from cloudflare import Cloudflare # Define the Aurora Edge API application app = FastAPI( title="Aurora Edge API", description="Production-ready Edge Computing API with Cloudflare Workers and Hono", version="1.0.0", ) # Define the CORS middleware app.add_middleware( CORSMiddleware, allow_origins=["*"], allow_credentials=True, allow_methods=["*"], allow_headers=["*"], ) # Define the Hono Cloudflare Worker configuration hono_config = { "worker": "aurora-edge-api", "account_id": os.environ.get("CLOUDFLARE_ACCOUNT_ID"), "api_token": os.environ.get("CLOUDFLARE_API_TOKEN"), } # Define the PostgreSQL Vector Search Extension configuration postgres_config = { "host": os
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