⚡ Live Sandbox: AI Dev Tool: Rust WebAssembly Edge Function

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```python
# AI Dev Tool: Edge Function SaaS Template
# =======================================
# A production-ready, type-safe boilerplate for building Edge Functions with Rust WebAssembly and PostgreSQL Vector Search Extension.

import os
import json
from typing import Dict, List
from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from cloudflare import workers

# Define the PostgreSQL database connection
SQLALCHEMY_DATABASE_URL = os.environ.get("SQLALCHEMY_DATABASE_URL")
engine = create_engine(SQLALCHEMY_DATABASE_URL)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
Base = declarative_base()

# Define the Vector Search Extension model
class VectorSearchExtension(Base):
    __tablename__ = "vector_search_extension"
    id = Column(Integer, primary_key=True)
    vector = Column(String)

# Create the database tables
Base.metadata.create_all(bind=engine)

# Define the Edge Function API
app = FastAPI()

# Define the request and response models
class RequestModel(BaseModel):
    query: str

class Response

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