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Telekinesis Deployment

Telekinesis Deployment provides the installation tooling and backend delivery workflows for the Telekinesis platform.

It includes:

• Cloud deployment to Amazon EKS using Helm
• Local, single-node, and evaluator deployment using Docker Compose
• A command-line interface for installing and managing Telekinesis services
• Shared configuration, health checks, licensing, and provisioning utilities

Release Model

Telekinesis Deployment is currently in active development (pre-1.0). Features and interfaces may evolve between minor releases. Use the version specified by the Telekinesis development team for production deployments.

Installation

1. Install Miniconda or another Python environment manager.

2. Clone this repository:

   git clone -b develop https://gitlab.com/telekinesis/deployment.git
   cd deployment
   

3. Create and activate a supported Python environment:

   Telekinesis Deployment supports Python 3.11 and 3.12.

   conda create -n telekinesis-deployment python=3.11
   conda activate telekinesis-deployment
   

4. Install the CLI and its dependencies in editable mode:

   pip install -e .
   

5. Verify the installation:

   telekinesis server --help
   

Example

Initialize a local deployment and start its services:

telekinesis server init
telekinesis server install
telekinesis server status

Use telekinesis server init --profile developer to initialize a developer environment. Run telekinesis server --help to see all available commands.

Deployment Modes

Resources

• Development guide
• Installer documentation
• Telekinesis documentation
• Release history

Support

For issues and questions, contact the Telekinesis development team at support@telekinesis.ai or join the Telekinesis Discord.

License

This repository is proprietary and confidential. See LICENSE.txt for details.