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```python # AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate for Physical World AI Agents # ============================================================================== # This production-ready boilerplate integrates FastAPI, Pydantic v2, and Supabase # to provide a robust foundation for developing micro-SaaS applications that interact # with physical world AI agents. from fastapi import FastAPI, Depends, HTTPException from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials from pydantic import BaseModel from supabase import create_client, Client from typing import List, Optional # Initialize FastAPI application app = FastAPI() # Initialize Supabase client supabase_url = "https://your-supabase-instance.supabase.co" supabase_key = "your-supabase-key" supabase: Client = create_client(supabase_url, supabase_key) # Define Pydantic models for request and response validation class Agent(BaseModel): id: int name: str type: str class AgentRequest(BaseModel): name: str type: str class AgentResponse(BaseModel): id: int name: str type: str # Define authentication scheme using HTTP Bearer tokens security
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