⚡ Live Sandbox: AI Dev Tool: How AI text watermarking

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```python
# AI Dev Tool: AI-Powered Text Watermarking Micro-SaaS
# ================================================
# This production-ready developer code asset provides a FastAPI Pydantic v2 Micro-SaaS
# template for AI text watermarking, leveraging the AGENTS.md AI-Native SaaS Template.

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from typing import Optional
import hashlib
import hmac
import json

# Define the FastAPI application
app = FastAPI(
    title="AI-Powered Text Watermarking Micro-SaaS",
    description="A production-ready developer code asset for AI text watermarking",
    version="1.0.0",
)

# Define the request body model for text watermarking
class TextWatermarkRequest(BaseModel):
    text: str
    watermark: str
    secret_key: str

# Define the response model for text watermarking
class TextWatermarkResponse(BaseModel):
    watermarked_text: str
    watermark_hash: str

# Define the AI text watermarking function
def ai_text_watermarking(text: str, watermark: str, secret_key: str) -> str:
    """
    This function generates a watermarked text using the provided text,

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