Installation & Requirements

Tensorify has two parts: the web editor at app.tensorify.io (no install needed) and the CLI that runs workflows on your machine or server.

npm install -g @tensorify.io/cli

Verify the install:

tensorify --version

You should see a version number printed. If you get command not found, check that your npm global bin directory is on your PATH.

Tensorify generates and runs Python code. We recommend a virtual environment to isolate workflow dependencies:

# Create the environment
python -m venv tensorify-env

# Activate — macOS / Linux
source tensorify-env/bin/activate

# Activate — Windows
tensorify-env\Scripts\activate

The CLI will use whichever Python environment is active when you run it.

The CLI authenticates using an API key from your Tensorify workspace.

1. Sign in at app.tensorify.io
2. Go to Settings → API Keys
3. Click Create API Key, give it a name, and copy the key

Set it as an environment variable so every CLI command picks it up:

export TENSORIFY_API_KEY="your_key_here"

To make this permanent, add the export line to your shell profile (~/.bashrc, ~/.zshrc, etc.).

You can also pass the key inline for a single command:

TENSORIFY_API_KEY=your_key_here tensorify watch <workflowId>

To run a workflow in a container, base your image on a Node.js image with Python available, install the CLI globally, and use tensorify run as your entrypoint:

FROM node:20-slim

RUN apt-get update && apt-get install -y python3 python3-pip python3-venv && rm -rf /var/lib/apt/lists/*
RUN npm install -g @tensorify.io/cli

ENV TENSORIFY_API_KEY=""
ENTRYPOINT ["tensorify", "run"]
CMD ["<your-workflow-id>"]

• Quick Start Guide — build and run your first workflow
• CLI Reference — all commands and flags