Setup

Oracle Setup

Provision the ML inference environment.

When NOT To Use

• The daemon is already provisioned and only needs to be used
• Evaluating skill quality itself (use abstract:skills-eval)

What This Does

• Creates a Python 3.11+ virtual environment using uv
• Installs onnxruntime into the venv
• Verifies the installation

Prerequisites

• uv must be installed
• Internet connection for initial download

Steps

• Run provisioning:

cd plugins/oracle && uv run python -c "
from oracle.provision import provision_venv, get_venv_path
result = provision_venv(get_venv_path())
print(result.message)
"

• Report result to the user.
• If successful, tell the user the daemon will start on next session.
• If failed, show the error and suggest checking uv and network.

Exit Criteria

• [ ] provision_venv() returns a result with a non-error message

and the venv path exists on disk under plugins/oracle/

• [ ] onnxruntime is importable inside the provisioned venv;

verified by uv run python -c "import onnxruntime" exiting 0

• [ ] User receives a clear success message stating the daemon will

start on next session, or a clear failure message citing the

specific error and whether it is a uv or network issue

• [ ] On failure, no partial venv left in a broken state that would

prevent a clean retry