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```python
# AI Dev Tool: Markdown Vector Search API
# =======================================
# A high-performance API integration wrapper for serving markdown to AI agents
# with accept headers and PostgreSQL vector search extension.

import os
import json
from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from fastapi.requests import Request
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
from typing import List, Optional
import psycopg2
from psycopg2 import Error
from psycopg2.extras import DictCursor

# Define the markdown model
class MarkdownModel(BaseModel):
    """Markdown model for serving to AI agents"""
    id: int
    title: str
    content: str

# Initialize the FastAPI app
app = FastAPI()

# Define CORS middleware
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

# Define the PostgreSQL connection settings
POSTGRES_HOST = os.environ.get("POSTGRES_HOST", "localhost")
POSTGRES_DB = os.environ.get("POSTGRES_DB", "markdown_db")
POSTGRES_USER = os.environ.get("POSTGRES_USER", "markdown

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