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Features

  • Custom AI assistant using Nebius’s LLMs with the Strands Agent SDK.
  • Weather forecasting capability using the National Weather Service API.
  • Demonstrates using http_request tool for making external API calls.

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Prerequisites

  • Python 3.12+
  • uv - an extremely fast Python package installer and resolver.
  • Nebius API key

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Environment Variables

The application requires the following environment variable. You can create a .env file in the project root to store it.
  • NEBIUS_API_KEY: Your Nebius Studio API key.

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Setup

  1. Clone this repository and navigate to the agent’s directory: 
    cd agents/aws-strands-weather-agent
  2. Create a virtual environment and install dependencies using uv: 
    # Create a virtual environment
uv venv

# Activate the virtual environment
source .venv/bin/activate

# Install dependencies from pyproject.toml and uv.lock
uv sync
  3. Create a .env file and add your NEBIUS_API_KEY: 
    NEBIUS_API_KEY="your-nebius-api-key"

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Usage

Run the main script: 
uv run agent.py
The script will:
  1. Create a weather assistant agent.
  2. Ask the agent to compare the temperature in New York and Chicago for the upcoming weekend.
  3. Output the assistant’s response.

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Customization

You can modify the agent.py file to:
  • Change the assistant’s system_prompt.
  • Add more tools from strands_tools or your own custom tools.
  • Alter the example query passed to the weather_agent.
  • Configure different LLM models supported by LiteLLM.