Set up Human expert feedback 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/expert-feedback
curl -fsSL -o ~/.tooluniverse/envs/expert-feedback-tooluniverse.txt https://connect.aiscientist.tools/install-requirements.txt
~/.local/bin/uv pip install --python ~/.tooluniverse/envs/expert-feedback/bin/python -r ~/.tooluniverse/envs/expert-feedback-tooluniverse.txt
# then this model's own dependencies, as in "Create an isolated environment" below
~/.local/bin/tu remote check expert-feedback --python ~/.tooluniverse/envs/expert-feedback/bin/python   # lists anything still missing
~/.local/bin/tu serve --allow expert-feedback --python ~/.tooluniverse/envs/expert-feedback/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): a clean Python 3.12.3 dependency install, loopback discovery of all five MCP tools, a complete two-client synthetic request/response lifecycle, and the Flask companion health endpoint passed. Public publication, independent-identity authorization, production WSGI deployment, retention/consent procedures, concurrency, and resource measurements remain incomplete; keep this deployment private until they pass. Authenticated private Platform import and owner testing passed on 2026-08-16; public publication and independent-caller authorization/isolation remain untested.