🤖 Build a Weather Search Agent (LangChain + Ollama)

In this tutorial, we’ll build a simple AI agent that can fetch real-time weather information for a given country. We’ll keep it: 💻 Fully local (LLM via Ollama) 🌐 Real-time (weather via API) 🧠 Agent-based (tool usage with LangChain) 🎯 What You’ll Build An agent that can answer: “What’s the weather in India?” Flow: User → Agent → Tool (Weather API) → Agent → Response ⚠️ Important Reality Local models (via Ollama) cannot browse the internet . So we solve this by: 👉 Giving the agent a tool that calls a real API 👉 The agent decides when to use that tool 🧱 Project Structure root/ │ ├── main.py └── projects/ └── search_agent/ ├── app.py └── tools.py 🔑 Step 1: Get Free Weather API Use: https://openweathermap.org/api Sign up Get API key 📦 Step 2: Install Dependencies pip install langchain langchain-ollama requests python-dotenv 🔐 Step 3: Add ".env" WEATHER_API_KEY=your_api_key_here 🛠 Step 4: Create Tool (REAL API) 📄 projects/search_agent/tools.py import requests import os from langchain.tools i