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

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

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from typing import List, Optional
import psycopg2
import json
from cloudflare import WorkersKV

# Initialize FastAPI app
app = FastAPI()

# Define Pydantic models for vector search
class VectorSearchQuery(BaseModel):
    """Vector search query model"""
    query_vector: List[float]
    limit: Optional[int] = 10

class VectorSearchResult(BaseModel):
    """Vector search result model"""
    id: int
    vector: List[float]
    score: float

# Initialize PostgreSQL connection
conn = psycopg2.connect(
    host="localhost",
    database="vector_search_db",
    user="vector_search_user",
    password="vector_search_password"
)

# Initialize Cloudflare Workers KV
kv = WorkersKV(namespace="vector_search_namespace")

# Define API endpoint for vector search
@app.post("/vector_search", response_model=List[VectorSearchResult])
async def vector_search(query: VectorSearchQuery):

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