⚡ Live Sandbox: AI Dev Tool: Extreme 220GHzBroadband Silicon Capacitor

📝 Editable Code Sandbox

```python
# AI Dev Tool: Extreme Broadband Vector Search API
# ================================================
# This is a production-ready API integration wrapper for PostgreSQL Vector Search Extension
# using FastAPI and Supabase. It provides a robust and scalable solution for vector search
# use cases, leveraging the power of Rust SIMD on the GPU for accelerated computations.

from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from supabase import create_client, Client
from typing import List, Optional
import os
import logging

# Initialize logger
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Define the Supabase client
SUPABASE_URL = os.environ.get("SUPABASE_URL")
SUPABASE_KEY = os.environ.get("SUPABASE_KEY")
supabase: Client = create_client(SUPABASE_URL, SUPABASE_KEY)

# Define the FastAPI app
app = FastAPI()

# Define the vector search request model
class VectorSearchRequest(BaseModel):
    """Vector search request model"""
    query: List[float]
    limit: Optional[int] = 10

# Define the vector search response model
class VectorSearchResponse(BaseModel):
    """Vector search response

🖥️ Interactive Execution Terminal Console

⚡ Ready! Click ▶️ Run Code to execute code in browser terminal...