feat(python): PyO3 bindings for crown/edit/apply_patch/memit (Phase D of RFC-0001)#9
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… of RFC-0001)
Exposes the Phase A-C commands as Python callables so the Chapter 15-23
Colab experiments from Divinci-AI/server become one-liner Rust invocations
from Jupyter — no CLI shell-outs, no JSON parsing.
### New module: crates/larql-python/src/edit_py.rs
Four #[pyfunction] entry points:
- crown(model, prompt, expect, start_layer=None, end_layer=None, top_k=100)
Returns {crown_layer, crown_delta_prob, top_after_ablation, scan: [...]}.
- edit(model, src, tgt, new_token, output, layer=None, scales=None,
fixed_scale=None, top_k=100, label=None)
Writes a rank-1 .lqpatch; returns {layer, scale, output, d_norm}.
- apply_patch(model, patches: list[str], prompt=None, top_k=5, reverse=False)
Applies patches in-memory; optional prompt returns {predictions: [(tok, prob), ...]}.
- memit(model, edits: list[dict], output_dir, ridge=0.01, target_alpha=1.0,
top_k=100)
Batch fact editor wrapping run_memit — writes one dense patch per layer
into output_dir + manifest.
### Wiring
- Registered in _native pymodule (src/lib.rs) via m.add_function.
- Re-exported from python/larql/__init__.py under the public `larql`
namespace alongside the existing load_vindex/create_session functions.
### Example
import larql
scan = larql.crown("/path/to/gemma4",
"Capital of France? A:", " Paris")
print(scan["crown_layer"]) # 27 (on Gemma 4 4B)
larql.edit("/path/to/gemma4",
src="Capital of France? A:",
tgt="Capital of Japan? A:",
new_token=" Tokyo",
output="france_to_tokyo.lqpatch")
r = larql.apply_patch("/path/to/gemma4",
patches=["france_to_tokyo.lqpatch"],
prompt="Capital of France? A:")
print(r["predictions"][0]) # ['Tokyo', 0.97]
This closes the RFC-0001 phased rollout: Python scripts can now drive the
mechanistic fact-editing pipeline end-to-end.
Compile-checked with `cargo check --package larql-python`. Runtime import
requires `maturin develop` — standard PyO3 workflow, no Python side of
the package changed structurally.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Phase D rebased directly onto main after Phase C merge. Supersedes #6 (auto-closed). Cherry-picks 1510cd3 from feat/python-bindings.
Adds
larql.crown,larql.edit,larql.apply_patch,larql.memitas Python callables via PyO3. See #6 for full description.Compile-checked against current main, 0 warnings.