Set up Enformer as a remote tool

Sharing this model for a user, not developing it? Follow the tooluniverse-share-computer guide; no ToolUniverse source checkout is needed. The model runs in its own Python environment, with its dependencies:

~/.local/bin/uv venv --python 3.12 ~/.tooluniverse/envs/enformer
curl -fsSL -o ~/.tooluniverse/envs/enformer-tooluniverse.txt https://connect.aiscientist.tools/install-requirements.txt
curl -fsSL -o ~/.tooluniverse/envs/enformer-requirements.txt https://raw.githubusercontent.com/mims-harvard/ToolUniverse/main/src/tooluniverse/remote/enformer/requirements.txt
~/.local/bin/uv pip install --python ~/.tooluniverse/envs/enformer/bin/python -r ~/.tooluniverse/envs/enformer-tooluniverse.txt -r ~/.tooluniverse/envs/enformer-requirements.txt
~/.local/bin/tu remote check enformer --python ~/.tooluniverse/envs/enformer/bin/python   # lists anything still missing
~/.local/bin/tu serve --allow enformer --python ~/.tooluniverse/envs/enformer/bin/python --share --detach --name "<computer name>" --service https://tooluniverse-backend.onrender.com

If the check reports a missing environment variable (a data folder, a model cache, a provider key), set it in the same shell before tu serve; "Obtain credentials, data, and model weights" below says what each one is. The model reads only the variables it declares.

The rest of this guide is for developers working from the ToolUniverse source, and for diagnosing problems with this model.

Validation status (2026-08-16): official Enformer weights loaded on the GB10; live loopback prediction and variant-effect calls returned bounded finite track results. Public publication, cross-user isolation, broad concurrency, recovery, and biological accuracy remain incomplete; keep this deployment private. Authenticated private Platform import and owner testing passed on 2026-08-16; public publication and independent-caller authorization/isolation remain untested.