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```python
# AI Dev Tool: CoreML Offline Inference API Integration Wrapper
# Description: A high-performance API integration wrapper for CoreML offline inference on Mac M4 devices.
# Author: [Your Name]

import os
import json
from typing import Dict, List
from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from pydantic import BaseModel
import coremltools as ct
import numpy as np

# Define the API application
app = FastAPI(title="CoreML Offline Inference API",
              description="A high-performance API integration wrapper for CoreML offline inference on Mac M4 devices.",
              version="1.0.0")

# Define the request body model for inference
class InferenceRequest(BaseModel):
    """Request body model for inference."""
    input_data: List[float]

# Define the response model for inference
class InferenceResponse(BaseModel):
    """Response model for inference."""
    output: List[float]

# Load the CoreML model
model = ct.models.MLModel("model.mlmodel")

# Define the inference endpoint
@app.post("/infer", response_model=InferenceResponse)
async def infer(request: InferenceRequest):
    """
    Perform inference using the CoreML

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