AIQ Toolkit - UI

This is the official frontend user interface component for AIQ Toolkit, an open-source library for building AI agents and workflows.

This project builds upon the work of:

• chatbot-ui by Mckay Wrigley
• chatbot-ollama by Ivan Fioravanti

Features

• 🎨 Modern and responsive user interface
• 🔄 Real-time streaming responses
• 🤝 Human-in-the-loop workflow support
• 🌙 Light/Dark theme
• 🔌 WebSocket and HTTP API integration
• 🐳 Docker support

Getting Started

Prerequisites

• AIQ Toolkit installed and configured
• Git
• Node.js (v18 or higher)
• npm or Docker

Installation

Clone the repository:

git clone [email protected]:NVIDIA/AIQToolkit.git
cd AIQToolkit

Install dependencies:

npm ci

Running the Application

Local Development

npm run dev

The application will be available at http://localhost:3000

Docker Deployment

# Build the Docker image
docker build -t aiqtoolkit-ui .

# Run the container with environment variables from .env
# Ensure the .env file is present before running this command.
# Skip --env-file .env if no overrides are needed.
docker run --env-file .env -p 3000:3000 aiqtoolkit-ui

Configuration

HTTP API Connection

Settings can be configured by selecting the Settings icon located on the bottom left corner of the home page.

Settings Options

NOTE: Most of the time, you will want to select /chat/stream for intermediate results streaming.

• Theme: Light or Dark Theme
• HTTP URL for Chat Completion: REST API endpoint
  • /generate - Single response generation
  • /generate/stream - Streaming response generation
  • /chat - Single response chat completion
  • /chat/stream - Streaming chat completion
• WebSocket URL for Completion: WebSocket URL to connect to running AIQ Toolkit server
• WebSocket Schema: Workflow schema type over WebSocket connection

Usage Examples

Simple Calculator Example

Setup and Configuration

1. Set up AIQ Toolkit Get Started
2. Start workflow by following the Simple Calculator Example

aiq serve --config_file=examples/simple_calculator/configs/config.yml

Testing the Calculator

Interact with the chat interface by prompting the agent with the message:

Is 4 + 4 greater than the current hour of the day?

API Integration

Server Communication

The UI supports both HTTP requests (OpenAI compatible) and WebSocket connections for server communication. For detailed information about WebSocket messaging integration, please refer to the WebSocket Documentation in the AIQ Toolkit documentation.

License

This project is licensed under the MIT License - see the LICENSE file for details. The project includes code from chatbot-ui and chatbot-ollama, which are also MIT licensed.