Update app.py

app.py

@@ -461,17 +461,22 @@ async def tool_library_info(question, history=None, model="gpt"):
     prompt = f"""You are the Khalifa University Library AI Assistant in Abu Dhabi, UAE.
 KU means Khalifa University, NOT Kuwait University.
 
-CRITICAL RULE: You MUST answer using ONLY the context below.
-- If the context contains relevant information → answer concisely (2-4 sentences), include URLs if available.{did_you_mean_instruction}
-- If the context does NOT contain relevant information about the question → output ONLY the exact text: NO_LIBRARY_ANSWER
-  Do NOT apologise. Do NOT suggest contacting the library. Do NOT make up an answer. Just output: NO_LIBRARY_ANSWER
+RULES — follow exactly:
+1. Answer ONLY using the context provided below.
+2. If the context has relevant information → answer in 2-4 sentences, include URLs if present.{did_you_mean_instruction}
+3. If the context does NOT contain the answer → output the single word: NO_LIBRARY_ANSWER
+   - Do NOT write "I'm sorry"
+   - Do NOT write "I don't have information"
+   - Do NOT suggest contacting the library
+   - Do NOT apologise
+   - ONLY output: NO_LIBRARY_ANSWER
 
 Context:
 {context}
 
 Question: {question}
 
-Answer (either answer from context, or output NO_LIBRARY_ANSWER):"""
+Answer:"""
 
     # Respect the model selection — use Claude if requested, GPT otherwise
     use_claude = model == "claude" and os.environ.get("ANTHROPIC_API_KEY")
@@ -490,14 +495,16 @@ Answer (either answer from context, or output NO_LIBRARY_ANSWER):"""
 
     # Catch cases where LLM ignored the NO_LIBRARY_ANSWER instruction
     # and generated a polite "I don't have info" response instead
+    # Normalise smart/curly apostrophes to straight before pattern matching
+    answer_normalised = answer.lower().replace("’", "'").replace("‘", "'").replace("“", '"').replace("”", '"')
+
     no_info_patterns = [
-        "i don't have specific information",
-        "i don't have information",
-        "i do not have specific information",
-        "i do not have information",
-        "i'm sorry, but i don't",
-        "i'm sorry, i don't",
-        "i apologize, but i don't",
+        "i don't have",
+        "i do not have",
+        "i'm sorry",
+        "i am sorry",
+        "i apologize",
+        "i apologise",
         "no specific information",
         "not available in",
         "not in the context",
@@ -505,10 +512,22 @@ Answer (either answer from context, or output NO_LIBRARY_ANSWER):"""
         "context doesn't contain",
         "i cannot find",
         "i could not find",
+        "don't have information",
+        "do not have information",
+        "unable to find",
+        "unable to provide",
+        "not found in",
+        "no information",
+        "for further inquiries",
+        "for more information, please contact",
+        "please visit ask",
+        "please contact the library",
+        "recommend checking",
+        "i'd suggest",
+        "i would suggest contacting",
     ]
-    answer_lower = answer.lower()
-    if any(p in answer_lower for p in no_info_patterns):
-        print(f"RAG answer matched no-info pattern, returning has_answer=False")
+    if any(p in answer_normalised for p in no_info_patterns):
+        print(f"RAG no-info pattern matched: '{answer_normalised[:80]}'")
         return {"answer": "", "sources": [], "has_answer": False}
 
     sources = []