⚡ Live Sandbox: AI Dev Tool: Good people refuse to

📝 Editable Code Sandbox

```python
# AI Dev Tool: Mini-AGI Dynamic Continual Learning Model API Wrapper
# Description: A production-ready API integration wrapper for Mini-AGI dynamic continual learning models
# Category: API Integration Wrapper

import os
import json
from typing import Dict, List
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from supabase import create_client, Client

# Initialize Supabase client
SUPABASE_URL = os.environ.get("SUPABASE_URL")
SUPABASE_KEY = os.environ.get("SUPABASE_KEY")
supabase: Client = create_client(SUPABASE_URL, SUPABASE_KEY)

# Initialize FastAPI app
app = FastAPI()

# Define the Mini-AGI model request body
class MiniAGIRequestBody(BaseModel):
    """Request body for Mini-AGI model"""
    input_text: str
    context: List[str]

# Define the Mini-AGI model response body
class MiniAGIResponseBody(BaseModel):
    """Response body for Mini-AGI model"""
    output_text: str
    context: List[str]

# Define the API endpoint for Mini-AGI model
@app.post("/mini-agi", response_model=MiniAG

🖥️ Interactive Execution Terminal Console

⚡ Ready! Click ▶️ Run Code to execute code in browser terminal...