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```python
# AI Dev Tool: FastAPI + Supabase + PostgreSQL Vector Search Extension
# Production Starter Boilerplate for AI-Native SaaS Applications

import os
import uvicorn
from fastapi import FastAPI, Depends
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
from supabase import create_client, Client
from pydantic import BaseModel
from typing import List, Optional

# Initialize FastAPI App
app = FastAPI()

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

# Initialize PostgreSQL Vector Search Extension
VECTOR_SEARCH_EXTENSION = "pg_vector"

# Define Authentication Scheme
security = HTTPBearer()

# Define Data Models
class User(BaseModel):
    id: int
    username: str
    email: str

class AIModel(BaseModel):
    id: int
    name: str
    description: str

# Define Routes
@app.get("/users/")
async def read_users(
    credentials: HTTPAuthorizationCredentials = Depends(security)
):
    """
    Retrieve a list of users.

Args:

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