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Welcome to Jev
Crash-course repository introducing TypeSafe AI's Jev product, with setup steps and runnable scripts. Dependencies are installed with uv into a local .venv, and example scripts are executed with uv run main.py.
- Stars
- 0
- Reading time
- 1 min
- Published by
- Community
- Added
- Nov 2026
Highlights
- Repository is a crash course on TypeSafe AI's Jev product
- Setup installs uv using the Astral install script
- uv sync installs dependencies and creates a .venv automatically
- Example scripts are run with uv run main.py
- Additional documentation lives in the repository READMEs
Questions about this entry
Short answers drawn from the linked project or page.
Install uv with the Astral install script, run uv sync to install dependencies and create a .venv, then run the scripts with uv run main.py.
It is a Python project managed with uv. The setup instructions install uv first, and uv sync creates the virtual environment automatically.
No. The README marks activation as optional, noting that sourcing .venv/bin/activate lets you call python directly instead of going through uv run.
The repository points readers to its READMEs for additional docs beyond the short setup section shown in the listing.
It is published by the COMMAND-LABS GitHub organization as a repository titled welcome-to-jev.
The available material does not state a license for the repository, so check the repository itself before reusing its contents.
It is an introductory crash course with minimal documentation, so it is not a substitute for the official SDKs or reference docs when building production systems.
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From the Jev guides
Original write-ups on what this entry is for.
From the Jev AI model community
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