diff --git a/scripts/e2e-nollm.sh b/scripts/e2e-nollm.sh
new file mode 100644
index 0000000..070215e
--- /dev/null
+++ b/scripts/e2e-nollm.sh
@@ -0,0 +1,24 @@
+#!/bin/sh
+# e2e: /analyze после отказа от LLM — должен ответить правилами, БЕЗ ANTHROPIC_API_KEY
+set -e
+TOKEN=$(curl -s -m 8 -X POST localhost:8000/api/v1/auth/login \
+  -H 'Content-Type: application/x-www-form-urlencoded' \
+  --data 'username=admin&password=pass123' \
+  | python3 -c 'import sys,json; print(json.load(sys.stdin)["access_token"])')
+echo "=== /analyze без LLM (bike 8yo 2h лес день) ==="
+curl -s -m 90 -X POST localhost:8000/api/v1/analyze \
+  -H "Authorization: Bearer $TOKEN" \
+  -H 'Content-Type: application/json' --data @/tmp/analyze-req.json > /tmp/analyze-nollm.json
+python3 - <<'PY'
+import json
+d = json.load(open('/tmp/analyze-nollm.json'))
+print('max_distance_km:', d['max_distance_km'])
+print('urgency:', d['urgency'])
+print('profiles:', [p.get('name') for p in d.get('active_profiles', [])])
+print('fallback_used:', d['fallback_used'])
+assert abs(d['max_distance_km'] - 5.4) < 1e-6, 'REGRESSION'
+assert d['fallback_used'] is True, 'rules mode expected'
+print('RULES-MODE E2E OK (5.4 км, локальный расчёт)')
+PY
+echo "=== env внутри контейнера (не должно быть ключей LLM) ==="
+docker exec vector-backend sh -c 'env | grep -i -E "anthropic|openai" || echo "no LLM keys — OK"'
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