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

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```python
# AI Dev Tool: Edge AI-Powered Vector Search API
# Description: A production-ready API integration wrapper for PostgreSQL Vector Search Extension
# using FastAPI, Pydantic v2, and Cloudflare Workers for edge computing.

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from typing import List, Optional
import os
import psycopg2
import psycopg2.extras
from cloudflare import WorkersKV

# Define the Vector Search Request model
class VectorSearchRequest(BaseModel):
    """Vector Search Request model"""
    query: str
    limit: Optional[int] = 10

# Define the Vector Search Response model
class VectorSearchResponse(BaseModel):
    """Vector Search Response model"""
    results: List[dict]

# Initialize the FastAPI app
app = FastAPI()

# Initialize the PostgreSQL connection
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")

# Initialize the Cloudflare Workers KV store
WORKERS_KV_NAMESPACE = os.environ.get("WORKERS_KV_NAMESPACE")

# Define the vector search

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