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Preview Code

```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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