aws_strands_starter

AWS Strands Starter Agent

A simple demonstration of using the Strands library with Nebius Token Factory's API to create an AI assistant that can fetch weather information.

Features

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

Prerequisites

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

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 Token Factory API key.

Installation

1. Clone this repository.

   git clone "https://github.com/Arindam200/awesome-ai-apps.git
   
   cd starter_ai_agents/aws_strands_starter

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"
   

Usage

Run the main script:

uv run main.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.

Customization

You can modify the main.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.