Add required human review gate to the Agent pipeline.

Agent web jobs now stop after Brain consolidation and enter needs_review
with a persisted review queue (blocking: high-severity, low-confidence,
sensitive-category findings; audit sample of clean clusters). Humans
decide confirm/reject/unsure/needs_clarification via new review API and
frontend queue; a finalizer applies decisions (rejections suppressed with
reason codes), performs bounded targeted reruns for clarifications,
drafts RFIs only for kept issues, and only then marks the job done and
sends the final email. Two-phase email (review-required, then final
report), per-decision feedback labels with redacted aggregate metrics,
restart recovery from job artifacts, and CLI --no-review bypass.
Classic pipeline unchanged. 65 non-LLM tests.

tests/review/test_store.py

@@ -0,0 +1,24 @@
+import json
+from backend.review.store import ReviewStore
+
+
+def test_queue_and_decisions_round_trip(tmp_path):
+    store = ReviewStore(str(tmp_path))
+    queue = [{"review_item_id": "finding:1", "blocking": True}]
+    store.write_queue(queue)
+    assert store.read_queue() == queue
+    store.append_decision({"review_item_id": "finding:1", "decision": "confirm"})
+    assert store.read_decisions()["finding:1"]["decision"] == "confirm"
+
+
+def test_progress_counts_required_items(tmp_path):
+    store = ReviewStore(str(tmp_path))
+    queue = [
+        {"review_item_id": "a", "blocking": True},
+        {"review_item_id": "b", "blocking": False},
+    ]
+    store.write_queue(queue)
+    store.append_decision({"review_item_id": "a", "decision": "confirm"})
+    progress = store.progress(queue)
+    assert progress["required"] == 1
+    assert progress["completed"] == 1