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Features

  • Real-time Weather: Get current weather forecasts for any city worldwide
  • Intelligent Search: Uses DuckDuckGo search to find accurate weather information
  • Interactive Interface: Simple command-line interface for weather queries
  • Fast Response: Quick and accurate weather information delivery
  • Customizable: Easy to modify for different cities and weather-related queries

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Tech Stack

  • PydanticAI framework for AI agent development
  • Nebius AI’s Meta-Llama-3.1-70B-Instruct model
  • DuckDuckGo Search Tool for weather information

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Prerequisites

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Setup

  1. Get the code: 
    git   clone    https://github.com/nebius/ai-studio-cookbook/
cd    agents/pydantic-weather-agent
  2. Install dependencies:
    using uv:     
    # create a venv and install dependencies
uv  sync
    or install using python pip: 
    pip install -r requirements.txt
  3. Create .env file in the project root and add your Nebius API key:: 
    cp env.example .env

    NEBIUS_API_KEY=your_api_key_here

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Running the Agent

Using uv: 
uv  sync
uv  run   python agent.py
Using python pip: 
python agent.py
The agent will fetch and display the weather forecast for the specified city (default: New York).

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Example Queries

  • “What is the weather forecast for San Francisco today?”
  • “What’s the temperature in London right now?”
  • “Will it rain in Tokyo tomorrow?”
  • “What’s the weather like in Sydney?”
  • “Show me the forecast for Paris”

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References