Weitere Tools eingebaut. Damit ist die SQL AI einsatzbereit.

scripts/update.sh

@@ -2,8 +2,6 @@
 set -euo pipefail
 
 ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
-
-# shellcheck disable=SC1090
 source "${ROOT}/.env"
 
 ts(){ date -Is; }
@@ -11,8 +9,6 @@ ts(){ date -Is; }
 log_dir="${ROOT}/logs"
 mkdir -p "$log_dir"
 log_file="${log_dir}/update-$(date -Iseconds).log"
-
-# log everything (stdout+stderr)
 exec > >(tee -a "$log_file") 2>&1
 
 echo "[$(ts)] update: starting (ROOT=$ROOT)"
@@ -60,4 +56,15 @@ echo "[$(ts)] update: verifying model exists..."
 docker exec -it ollama ollama list | grep -F "${EXPERT_MODEL}" >/dev/null && \
   echo "[$(ts)] update: OK: ${EXPERT_MODEL} is available."
 
+# Warmup (loads model + GPU kernels, reduces first real query latency)
+if [[ -x "${ROOT}/bin/sqlai" ]]; then
+  echo "[$(ts)] update: warmup: sending a short request (no-metrics)..."
+  "${ROOT}/bin/sqlai" ask --text "Warmup: reply with exactly 'OK'." --no-metrics || {
+    echo "[$(ts)] update: WARN: warmup failed (continuing)."
+  }
+  echo "[$(ts)] update: warmup: done"
+else
+  echo "[$(ts)] update: WARN: ${ROOT}/bin/sqlai not executable; skipping warmup."
+fi
+
 echo "[$(ts)] update: complete"