⚡ Live Sandbox: AI Dev Tool: AIassisted proof of optimal

📝 Editable Code Sandbox

```python
# AI Dev Tool: NanoMuse Vector Search Boilerplate
# Description: Production-ready boilerplate for building AI-native SaaS applications with vector search capabilities
# Author: [Your Name]

import os
import sqlite3
from fastapi import FastAPI, Depends
from fastapi.responses import JSONResponse
from fastapi.requests import Request
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
from pydantic import BaseModel
from typing import List, Optional
from psycopg2 import connect
from psycopg2.extras import DictCursor
from nano_muse import NanoMuse

# Initialize FastAPI app
app = FastAPI()

# Initialize PostgreSQL connection
POSTGRES_HOST = os.environ.get("POSTGRES_HOST", "localhost")
POSTGRES_DB = os.environ.get("POSTGRES_DB", "postgres")
POSTGRES_USER = os.environ.get("POSTGRES_USER", "postgres")
POSTGRES_PASSWORD = os.environ.get("POSTGRES_PASSWORD", "postgres")

# Initialize NanoMuse AI agent
NANO_MUSE_MODEL = os.environ.get("NANO_MUSE_MODEL", "nano_muse_default")

# Define authentication scheme
auth_scheme = HTTPBearer()

# Define request and response models
class VectorSearchRequest(BaseModel):
    query

🖥️ Interactive Execution Terminal Console

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