⚡ Live Sandbox: AI Dev Tool: FastAPI Pydantic v2 MicroSaaS

📝 Editable Code Sandbox

```python
# AI Dev Tool: Edge AI API Boilerplate
# Description: Production-ready Edge AI API boilerplate using FastAPI, Pydantic v2, and Cloudflare Workers
# Author: [Your Name]

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from typing import List, Optional
import json
import requests

# Define the Edge AI API application
app = FastAPI(title="Edge AI API", description="Production-ready Edge AI API boilerplate")

# Define the request and response models using Pydantic
class AIRequest(BaseModel):
    """AI request model"""
    input_text: str
    model_name: str

class AIResponse(BaseModel):
    """AI response model"""
    output_text: str
    model_name: str

# Define the Cloudflare Workers configuration
workers_config = {
    "account_id": "your_account_id",
    "api_token": "your_api_token",
    "worker_name": "your_worker_name"
}

# Define the Edge AI API endpoint
@app.post("/ai", response_model=AIResponse)
async def edge_ai(request: AIRequest):
    """
    Edge AI API endpoint

Args:
    - request (AIRequest): The AI request

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