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cuOptIQ: Intelligent Route Optimization with NVIDIA Agent Intelligence Toolkit

NVIDIA Agent Toolkit Hackathon

https://developer.nvidia.com/agentiq-hackathon

Overview

cuOptIQ is an intelligent agent system designed to optimize intra-factory logistics using NVIDIA's Agent Intelligence Toolkit and the cuOpt solver. It allows users to interact via natural language and generate optimized delivery routes in real time with visualizations.

Features

  • Natural Language Interface: Understand user requirements through conversational queries
  • Intelligent Data Processing: Modify transport orders and fleet parameters based on user needs
  • High-Performance Optimization: Leverage NVIDIA cuOpt for solving complex routing problems
  • Rich Visualizations: Generate interactive charts and network graphs to visualize solutions
  • Modular Architecture: Specialized agent functions that work together seamlessly

Get Started

Prerequisites

Before you begin using AIQ toolkit, ensure that you meet the following software prerequisites.

Installation

  1. Clone this repository:
git clone https://github.com/SaiTarunChandrupatla/cuOptIQ.git
cd cuOptIQ
  1. Set up the Python environment:
uv venv name
source /name/bin/activate # On Windows: venv\Scripts\activate
  1. Install dependencies:
uv pip install agentiq
uv pip install matplotlib
  1. Install the cuOptIQ agent:
cd cuOptIQAgent
uv pip install -e .
  1. Set your API keys:
export OPENAI_API_KEY=your_openai_api_key
export CUOPT_API_KEY=your_nvidia_NIM_cuopt_api_key

Get your NVIDIA NIM Cuopt API key from https://build.nvidia.com/

  1. Start the agent:
aiq serve --config_file configs/config.yml --host 0.0.0.0 
  1. Start the UI:
cd aiqtoolkit-opensource-ui
#(dependency installation)
npm ci 

npm run dev
  1. Example Usage:
1) I want optimized routes for 3 forklifts to deliver materials from storage locations to trucks. Each forklift should carry 2 items at a time.

2) Please plan the most efficient routes for 2 forklifts to transport materials from storage zones to the trucks, with each forklift limited to carrying 3 items

3) Remove first two orders and optimize routes for 3 forklifts to deliver materials from storage locations to trucks. Each forklift should carry 2 items at a time.

4) Add two more orders same as the first two order in the data and give me the optimized routes for 4 forklifts to deliver materials from storage locations to trucks. Each forklift should carry 2 items at a time.

Factory Layout cuOptIQ Demo cuOptIQ Demo cuOptIQ Demo cuOptIQ Demo cuOptIQ Demo

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