setup ยท diff

git:20260521.6f5c7d9 to git:20260622.c7c8f6f

12 added, 0 removed. Audit A to A.

---
name: setup
description: Provisions the oracle ML inference daemon with onnxruntime via uv. Use when setting up local ONNX model inference for skill quality evaluation.
---
# Oracle Setup
Provision the ML inference environment.
## What This Does
1. Creates a Python 3.11+ virtual environment using uv
2. Installs onnxruntime into the venv
3. Verifies the installation
## Prerequisites
- uv must be installed
- Internet connection for initial download
## Steps
1. Run provisioning:
```bash
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)
"
```
2. Report result to the user.
3. If successful, tell the user the daemon will start on next session.
4. 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
+