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```python # AI Dev Tool: LLM-Powered Weather API Integration Wrapper # Description: A production-ready API integration wrapper for retrieving weather data # using the OpenWeatherMap API and leveraging Large Language Models (LLMs) # for complex topic learning. import requests import json from typing import Dict, List from pydantic import BaseModel from fastapi import FastAPI, HTTPException from fastapi.responses import JSONResponse from fastapi.encoders import jsonable_encoder # Define the Weather API response model class WeatherResponse(BaseModel): """Weather API response model""" temperature: float humidity: float description: str # Define the LLM context builder model class LLMContext(BaseModel): """LLM context builder model""" topic: str context: str # Initialize the FastAPI app app = FastAPI() # Define the OpenWeatherMap API endpoint and API key OPENWEATHERMAP_API_ENDPOINT = "http://api.openweathermap.org/data/2.5/weather" OPENWEATHERMAP_API_KEY = "YOUR_OPENWEATHERMAP_API_KEY" # Define the LLM API endpoint and API key LLM_API_ENDPOINT = "https://api.example.com
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