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```python
# AI Dev Tool: ParqDB Vector Search API Integration Wrapper
# Description: A production-ready API integration wrapper for ParqDB vector search
# Author: [Your Name]

import os
import requests
from pydantic import BaseModel
from typing import List, Optional
from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse

# Define the ParqDB API endpoint
PARQDB_API_ENDPOINT = os.environ.get("PARQDB_API_ENDPOINT", "https://parqdb.example.com")

# Define the ParqDB API key
PARQDB_API_KEY = os.environ.get("PARQDB_API_KEY", "YOUR_API_KEY_HERE")

# Define the FastAPI app
app = FastAPI()

# Define the vector search request model
class VectorSearchRequest(BaseModel):
    """Vector search request model"""
    query: str
    """Query string"""
    vectors: List[float]
    """Vector values"""
    limit: Optional[int] = 10
    """Number of results to return (default: 10)"""

# Define the vector search response model
class VectorSearchResponse(BaseModel):
    """Vector search response model"""
    results: List[dict]
    """Search results"""

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