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```python
# AI Dev Tool: TabPFN API Integration Wrapper
# Description: A production-ready API integration wrapper for TabPFN and TabICL models
# Author: Elite Software Architect and Micro-SaaS Developer
from pydantic import BaseModel
from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from fastapi.encoders import jsonable_encoder
from typing import Optional
import xgboost as xgb
import numpy as np
app = FastAPI()
# Define the request model for TabPFN and TabICL
class TabPFNRequest(BaseModel):
"""Request model for TabPFN and TabICL"""
data: list
model_type: str
# Define the response model for TabPFN and TabICL
class TabPFNResponse(BaseModel):
"""Response model for TabPFN and TabICL"""
prediction: float
# ... full runnable version includes tests & documentation
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