Installation¶
The DataRobot Agentic Workflow Templates repository provides ready-to-use templates for building and deploying AI agents with multi-agent frameworks. These templates streamline the process of setting up your own agents with minimal configuration requirements and support both local development and testing, as well as deployment to production environments within DataRobot.
Before running task start (quickstart.py), you can perform the following installation and setup steps.
System requirements¶
Ensure your system meets the minimum requirements for running DataRobot Agent Templates.
- Operating System: macOS or Linux (Windows not supported)
- Python: Version 3.10 or higher
Operating system compatibility
This repository is only compatible with macOS and Linux operating systems. If you are using Windows, consider using a DataRobot Codespace, Windows Subsystem for Linux (WSL), or a virtual machine running a supported OS.
Required tools¶
Before running any agentic workflow commands, you must have the following tools installed system-wide (not in a virtual environment) so they are always available in your terminal session.
| Tool | Version | Description |
|---|---|---|
| git | >= 2.30.0 | A version control system. |
| uv | >= 0.6.10 | A fast Python package installation manager. |
| Pulumi | >= 3.163.0 | An infrastructure as code tool to define and manage cloud infrastructure with common programming languages. |
| Taskfile | >= 3.43.3 | A task runner and build tool. |
Build tools required
You will also need a compatible C++ compiler and associated build tools installed on your system to compile some Python packages. The required tools vary depending on your operating system. For specific setup details, refer to the OS-specific installation instructions below.
Installation instructions¶
Follow the OS-specific installation commands to install all required tools.
macOS¶
Install using Homebrew package manager.
brew install git uv pulumi go-task/tap/go-task
xcode-select --install
Linux¶
Install using package manager and official installation scripts.
Install tools using apt package manager.
sudo apt-get update && sudo apt-get install git build-essential
curl -LsSf https://astral.sh/uv/install.sh | sh
curl -fsSL https://get.pulumi.com/ | sh
curl -sL https://taskfile.dev/install.sh | sh
Install tools using dnf package manager.
sudo dnf install git
sudo dnf groupinstall "Development Tools"
curl -LsSf https://astral.sh/uv/install.sh | sh
curl -fsSL https://get.pulumi.com/ | sh
curl -sL https://taskfile.dev/install.sh | sh
Install tools using yum package manager.
sudo yum install git
sudo yum groupinstall "Development Tools"
curl -LsSf https://astral.sh/uv/install.sh | sh
curl -fsSL https://get.pulumi.com/ | sh
curl -sL https://taskfile.dev/install.sh | sh
Configure an environment¶
Configure your development environment with the repository and credentials.
Clone the repository¶
The first step when developing an agentic workflow locally is to clone the DataRobot agentic templates repository.
Download the repository
Alternatively, you can download the repository as a ZIP file and extract it to your preferred location.
You can either clone the repository to your local machine using Git or download it as a ZIP file.
git clone https://github.com/datarobot-community/datarobot-agent-templates.git
cd datarobot-agent-templates
Clone the release branch for your installation using Git:
git clone -b release/11.3 https://github.com/datarobot-community/datarobot-agent-templates.git
cd datarobot-agent-templates
Customizing workflows
To customize or track your own workflows, you can fork this repository, change the remote URL, or create a new repository.
Configure environment variables¶
Set up your DataRobot API credentials in a local environment file. Create a .env file in the root directory:
nano .env # or vim .env, code .env, etc.
Alternatively, copy and rename the sample environment file (.env.template) and provide the necessary environment variables in the file.
cp .env.template .env
# Previously, .env.template was .env.sample
In the .env file, add the required environment variables:
DataRobot credentials in codespaces
If you are using a DataRobot codespace, remove the DATAROBOT_API_TOKEN and DATAROBOT_ENDPOINT environment variables from the file, as they already exist in the codespace environment.
| .env | |
|---|---|
1 2 3 4 5 | |
| Environment variable | Description |
|---|---|
DATAROBOT_API_TOKEN |
Generate from the DataRobot UI. |
DATAROBOT_ENDPOINT |
|