feat(agent): hierarchical executor with path resolve, runtime probe, quiet UI

Make Zed Agent closer to Cursor: deterministic DevOps path index, live Traefik
port probe before blind edits, stop-after-edit, and quieter Russian progress.

scripts/check-litellm-master.sh

@@ -0,0 +1,32 @@
+#!/usr/bin/env bash
+set -euo pipefail
+ssh -o BatchMode=yes eventhub-ift bash -s <<'REMOTE'
+set -euo pipefail
+cd /opt/ai-router-stack
+set -a; source .env; set +a
+PG=$(docker ps -q -f name=ai-router_postgres | head -1)
+
+echo "== Tokens/users now =="
+docker exec -e PGPASSWORD="$POSTGRES_PASSWORD" "$PG" \
+  psql -U "${POSTGRES_USER:-litellm}" -d "${POSTGRES_DB:-litellm}" -c "
+SELECT count(*) AS tokens FROM \"LiteLLM_VerificationToken\";
+SELECT count(*) AS users FROM \"LiteLLM_UserTable\";
+SELECT \"user_id\", \"user_role\" FROM \"LiteLLM_UserTable\" LIMIT 5;
+"
+
+echo "== Master key models probe =="
+code=$(curl -sS -o /tmp/m.json -w "%{http_code}" --max-time 20 \
+  -H "Authorization: Bearer ${LITELLM_MASTER_KEY}" \
+  https://litellm.ift.calentiq.com/v1/models)
+echo "models HTTP $code"
+head -c 120 /tmp/m.json; echo
+
+echo "== Flush redis key cache (best effort) =="
+RID=$(docker ps -q -f name=ai-router_redis | head -1)
+if [[ -n "$RID" ]]; then
+  docker exec "$RID" redis-cli KEYS '*token*' 2>/dev/null | head -20 || true
+  docker exec "$RID" redis-cli KEYS '*litellm*' 2>/dev/null | head -20 || true
+  # do not FLUSHALL — may kill router session cache; only clear litellm-ish if safe
+fi
+echo DONE
+REMOTE