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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate with AI Model Integration
# Description: A production-ready boilerplate for building micro-SaaS applications with FastAPI, Pydantic, and AI model integration.
# Author: Elite Software Architect

from fastapi import FastAPI, Depends, HTTPException
from pydantic import BaseModel
from typing import List, Optional
from ai_model import AIModel  # Import AI model class

app = FastAPI()

# Define a Pydantic model for the AI model input
class AIModelInput(BaseModel):
    """Input model for the AI model"""
    text: str

# Define a Pydantic model for the AI model output
class AIModelOutput(BaseModel):
    """Output model for the AI model"""
    result: str

# Define a dependency to get the AI model instance
def get_ai_model():
    """Get the AI model instance"""
    return AIModel()

# Define a route to test the AI model
@app.post("/ai-model/test", response_model=AIModelOutput)
async def test_ai_model(input: AIModelInput, ai_model: AIModel = Depends(get_ai_model)):
    """
    Test the AI model with the given

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