TheDocumentation Index
Fetch the complete documentation index at: https://docs.tensor9.com/llms.txt
Use this file to discover all available pages before exploring further.
tensor9 CLI is the primary tool for managing your Tensor9 control plane, publishing origin stacks, creating releases, and managing appliances.
Prerequisites
- API Key: Your Tensor9 API key (provided during onboarding, or email [email protected])
Installation
Homebrew (recommended - macOS and Linux)
Shell script
Alternatively, install via the install script:Set your API key
Set your Tensor9 API key as an environment variable:Add this to your shell profile (
~/.bashrc, ~/.zshrc, etc.) to persist it across sessions:Verify installation
Updating
Homebrew
Manual update
Uninstallation
Homebrew
Manual
Platform support
The tensor9 CLI is supported on:- macOS (Apple Silicon and Intel)
- Linux (arm64 and amd64)
Windows users can use the CLI through WSL (Windows Subsystem for Linux).
Environment variables
| Variable | Description | Required |
|---|---|---|
T9_API_KEY | Your Tensor9 API key | Yes (for most commands) |
Common installation issues
Command not found after installation
Command not found after installation
Problem: For Homebrew on Apple Silicon, the default path is
tensor9: command not found after installation.Solution: If installed via Homebrew, try opening a new terminal. If the issue persists, ensure the Homebrew bin directory is in your PATH:/opt/homebrew/bin. For Intel Macs and Linux, it is /usr/local/bin.API key errors
API key errors
Problem: “API key required” or authentication errors.Solution:
- Verify your API key is set:
echo $T9_API_KEY - If empty, set it:
export T9_API_KEY=<your-key> - Verify it works:
tensor9 whoami - For persistence, add to your shell profile
What’s next?
After installing the CLI:- Set up your control plane: Follow the Quick Start guide
- Learn common workflows: See Common Workflows for typical tasks
- Reference documentation: Check the CLI Reference for all commands
Getting help
If you encounter issues:- Run
tensor9 helpto see available commands - Run
tensor9 <command> -helpfor command-specific help - Contact support at [email protected]