⚡ Live Sandbox: AI Dev Tool: FastAPI Pydantic v2 MicroSaaS

📝 Editable Code Sandbox

```python
# AI Dev Tool: Edge Function API Gateway with PostgreSQL Vector Search
# =====================================================================
# This is a production-ready developer code asset for building a high-performance
# Edge Function API Gateway with PostgreSQL Vector Search Extension.

import os
import json
from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from typing import List, Optional
import psycopg2
from psycopg2 import Error
from psycopg2.extras import DictCursor
import cloudflare

# Define the PostgreSQL database connection settings
POSTGRES_HOST = os.environ.get('POSTGRES_HOST')
POSTGRES_DB = os.environ.get('POSTGRES_DB')
POSTGRES_USER = os.environ.get('POSTGRES_USER')
POSTGRES_PASSWORD = os.environ.get('POSTGRES_PASSWORD')

# Define the Cloudflare Workers settings
CLOUDFLARE_ACCOUNT_ID = os.environ.get('CLOUDFLARE_ACCOUNT_ID')
CLOUDFLARE_API_TOKEN = os.environ.get('CLOUDFLARE_API_TOKEN')

# Create a new FastAPI application
app = FastAPI()

# Define a Pydantic model for the API request body
class VectorSearchRequest(BaseModel):
    query: str
    limit: int = 10

# Define a

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