⚡ Live Sandbox: AI Dev Tool: Rust WebAssembly Edge (9ua9)

📝 Editable Code Sandbox

```python
# AI Dev Tool: Edge-Native 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 os
import psycopg2
import json
from cloudflare import WorkersKV

# Define the Vector Search API model
class VectorSearchModel(BaseModel):
    """Vector Search API model"""
    query: str
    limit: Optional[int] = 10
    offset: Optional[int] = 0

# Define the Vector Search API response model
class VectorSearchResponseModel(BaseModel):
    """Vector Search API response model"""
    results: List[dict]
    count: int

# Initialize the FastAPI app
app = FastAPI()

# Initialize the PostgreSQL database connection
DATABASE_URL = os.environ.get("DATABASE_URL")
conn = psycopg2.connect(DATABASE_URL)
cur = conn.cursor()

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

# Define the Vector Search

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