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Installation
Prerequisites
To ensure Hexabot runs smoothly, you'll need the following:
- Docker: We recommend using Docker to start the app since multiple services are required (MongoDB, Nginx, etc.). All the necessary Docker Compose files are located in the docker folder.
{% content-ref url="../developer-guide/setting-up-docker-for-development-and-production.md" %} setting-up-docker-for-development-and-production.md {% endcontent-ref %}
- Node.js: For development purposes, ensure you have Node.js >= v18.17.0 installed. We recommend using nvm (Node Version Manager) to easily manage and update your Node.js versions.
{% content-ref url="../developer-guide/setup-node.js-with-nvm.md" %} setup-node.js-with-nvm.md {% endcontent-ref %}
Do you want to install Hexabot on a Windows machine?
- Download and install Docker Desktop for Windows.
- During installation, ensure that you select the option to use WSL 2 as the default backend for Docker.
- After installation, start Docker Desktop and verify that WSL integration is enabled:
- Open Docker Desktop and go to Settings. Under the General tab, ensure that "Use the WSL 2 based engine" is selected. Under Resources > WSL Integration, enable integration with your installed Linux distribution (e.g., Ubuntu). Restart your machine to finalize the Docker installation.
- Open your WSL terminal (e.g., Ubuntu).
- Follow Hexabot installation steps below
Learn more : https://learn.microsoft.com/en-us/windows/wsl/tutorials/wsl-containers
Installation
- Install Hexabot CLI globally to have easy access to its commands:
npm install -g hexabot-cli
- Create a new project:
hexabot create my-chatbot
- Navigate to your project folder
cd my-chatbot/
- Install dependencies:
npm i
- Environment Setup:
To configure the environment variables, use the following command:
hexabot init
This will copy the .env.example
file to .env
in the ./docker
directory if the file does not already exist.
- Run in development mode: Once your environment is set up, you can start the app. Use the following command:
hexabot dev --services ollama
Notice that we added an extra service called Ollama. Ollama makes it easy to get up and running with large language models locally. Make sure to SSH into the container and pull the model(s) you would like to use:
docker exec -it ollama ollama pull tinyllama
You can pull different models, a complete reference of all the Ollama models can be found here: https://ollama.com/library.
{% hint style="info" %} Note: The first time you run the app, Docker will take some time to download all the required images {% endhint %}
Usage
UI Admin Panel is accessible via http://localhost:8080, the default credentials are
{% code title="Username" %}
admin@admin.admin
{% endcode %}
{% code title="Password" %}
adminadmin
{% endcode %}
{% hint style="info" %} You can find more about the Hexabot CLI command here. {% endhint %}