test

app.py

@@ -69,7 +69,6 @@ def calculate_risk_metrics(
 
 my_info = {
     "name": "Tianqing LIU",
-    "age": 30,
     "location": "Paris, France",
     "occupation": "Product Manager at MA",
     "education": "Master's in Computer Science",
@@ -80,7 +79,8 @@ my_info = {
         "linkedin": "https://www.linkedin.com/in/liutianqing/",
         "github": "https://liuti-ma.github.io/CV/",
         "website": "https://www.liutianqing.com"
-    }
+    },
+    "introduction":"Hello, my name is Tianqing LIU. I’m a Senior Product Manager with over 10 years of experience in financial technology, risk management, and SaaS solutions. Based in Paris, I specialize in delivering high-impact, scalable platforms for global financial institutions. I’m also a certified FRM®, SAFe® 6 Product Owner/Product Manager, and SCR® professional."
 }
 @tool
 def provide_my_information(query: str) -> str:
@@ -97,10 +97,10 @@ def provide_my_information(query: str) -> str:
     query = query.lower()
 
     # Check for specific keywords in the query and return the corresponding information
+    if "name" in query:
+        return f" {my_info['introduction']}."
     if "name" in query:
         return f"My name is {my_info['name']}."
-    elif "age" in query:
-        return f"I am {my_info['age']} years old."
     elif "location" in query:
         return f"I am located in {my_info['location']}."
     elif "occupation" in query or "job" in query or "work" in query: