Update app.py

app.py

@@ -121,7 +121,7 @@ def construct_prompt(user_input, context, chat_history, max_history_turns=1): #
     print(prompt)
     return prompt
 
-@observe()
+
 def chat_with_model(user_input, chat_history=[]):
     # Search for relevant products
     search_results = search_products(user_input)
@@ -142,22 +142,24 @@ def chat_with_model(user_input, chat_history=[]):
         context = "Das weiß ich nicht."
     print("context: ------------------------------------- \n"+context)
 
+    # LangFuse observation: Search Results
     langfuse.observe(
         name="search_products",
         input={"query": user_input},
         output={"context": context},
-        metadata={"search_results_found": len(search_results) if search_results else 0}
+        metadata={"results_count": len(search_results)}
     )
 
+
     
     # Pass both user_input and context to construct_prompt
     prompt = construct_prompt(user_input, context, chat_history) # This line is changed
     print("prompt: ------------------------------------- \n"+prompt)
 
-    # LangFuse observation: Log prompt construction
+    # LangFuse observation: Prompt Construction
     langfuse.observe(
         name="construct_prompt",
-        input={"user_input": user_input, "context": context, "chat_history": chat_history},
+        input={"user_input": user_input, "context": context},
         output={"prompt": prompt}
     )
 
@@ -172,6 +174,7 @@ def chat_with_model(user_input, chat_history=[]):
 
     print("respone: ------------------------------------- \n"+response)
     # LangFuse observation: Log LLM response
+    # LangFuse observation: LLM Response
     langfuse.observe(
         name="llm_response",
         input={"prompt": prompt},