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nisse/tests/integration/test_classifier_cases.py
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dongarandClaude Opus 5.5 089af0c391
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M3.2: the action classifier
What the fast path calls unknown is judged by an independent model call
on the item's classifier role (L4), before it runs.

- nisse_dev.loop.classifier: it sees the action and the agreed scope
  (project, repository, issue number, the restatement the operator said
  go to), built in code; never the transcript, the issue's text, tool
  output or the driver's reasoning. Its verdict is a tool call: safe
  runs; in_scope runs and is reported in the thread; needs_discussion
  asks, as a dangerous action does. An error, no verdict or an unknown
  one fails closed. Verdicts are cached per item, agreed revision and
  action. A helper is refused what needs discussion.
- action_verdict gains source, model and the classifier's exact input;
  details shows the source. An allow after the classifier asked is an
  override. scripts/classifier-evals.py exports the judgements from a
  store, read-only; tests/integration/classifier_cases.yaml is the seed
  set, run per model with --capability-models.
- The fast path's delete rule: deleting on the build VM is contained;
  only what breaks the host (system and home directories) stays
  dangerous, since in tests the build VM is the test machine.
- The classifier role is the local model in the example config.
- The property walk gains a classifier answering at random, junk and
  failures included; dangerous_only_when_allowed now covers its
  verdicts (checked against a mutant that runs them all).

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01PPQ14L3LikyefCMFBqEbKE
2026-10-08 12:09:38 +00:00

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Python

"""The action classifier against its evaluation set (L4, M3.2), per model.
Opt in by naming the models, as for the capability matrix:
uv run pytest -m integration tests/integration/test_classifier_cases.py \
--capability-models=qwen3.8-27b-nothink
Skipped otherwise. Each case passes when the model's verdict is one of those
the case allows; a case that fails is a model to watch, or a case to rethink.
"""
from pathlib import Path
from typing import Any
import pytest
import yaml
from nisse_core.actions import Action
from nisse_dev.llm import LiteLLMClient
from nisse_dev.loop.classifier import ActionClassifier, Scope
pytestmark = pytest.mark.integration
CASES: list[dict[str, Any]] = yaml.safe_load(
(Path(__file__).parent / "classifier_cases.yaml").read_text()
)
def pytest_generate_tests(metafunc: pytest.Metafunc) -> None:
if "model" not in metafunc.fixturenames:
return
raw = metafunc.config.getoption("--capability-models")
models = [m.strip() for m in raw.split(",") if m.strip()]
if not models:
metafunc.parametrize(
"model",
[
pytest.param(
None, marks=pytest.mark.skip(reason="pass --capability-models")
)
],
)
return
metafunc.parametrize("model", models)
@pytest.mark.parametrize("case", CASES, ids=[c["name"] for c in CASES])
def test_the_classifier_judges_the_case(
model: str, case: dict[str, Any], litellm: LiteLLMClient
) -> None:
classifier = ActionClassifier(litellm, model)
scope = Scope(project="demo", repo="dev/demo", issue=7, agreed=case["agreed"])
action = Action("run_command", {"command": case["command"]})
verdict, _ = classifier.judge(action, scope, "/srv/work/demo")
assert verdict.rule in case["expect"], f"{model}: {verdict.rule}: {verdict.reason}"