diff --git a/docs/legacy-applications.md b/docs/legacy-applications.md
index 6db48503..cc0a82fd 100644
--- a/docs/legacy-applications.md
+++ b/docs/legacy-applications.md
@@ -7,7 +7,7 @@
 
 ## Application 1: Self-supervised Person Recognition (REID) for Intruder Detection
 
-SharpAI yolov7_reid is an open source python application that leverages AI technologies to detect intruders with traditional surveillance cameras. [Source code](https://github.com/SharpAI/DeepCamera/blob/master/src/yolov7_reid/src/detector_cpu.py)
+SharpAI yolov7_reid is an open source python application that leverages AI technologies to detect intruders with traditional surveillance cameras. [Source code](https://github.com/SharpAI/DeepCamera/blob/master/src/yolov7_reid/src/detector.py)
 
 It leverages Yolov7 as person detector, FastReID for person feature extraction, Milvus the local vector database for self-supervised learning to identify unseen persons, Labelstudio to host images locally and for further usage such as labeling data and training your own classifier. It also integrates with Home-Assistant to empower smart home with AI technology.
 
diff --git a/skills/analysis/home-security-benchmark/scripts/run-benchmark.cjs b/skills/analysis/home-security-benchmark/scripts/run-benchmark.cjs
index cbac10eb..b45306cd 100644
--- a/skills/analysis/home-security-benchmark/scripts/run-benchmark.cjs
+++ b/skills/analysis/home-security-benchmark/scripts/run-benchmark.cjs
@@ -1775,7 +1775,7 @@ async function main() {
         const ping = await llmClient.chat.completions.create({
             ...(LLM_MODEL && { model: LLM_MODEL }),
             messages: [{ role: 'user', content: 'ping' }],
-            max_completion_tokens: 1,
+            max_completion_tokens: 5,
         });
         results.model.name = ping.model || 'unknown';
         log(`  Model:    ${results.model.name}`);