Update app.py

app.py

@@ -18,6 +18,8 @@ from llama_index.core import (
 from llama_index.core.tools import FunctionTool
 from llama_index.agent.openai import OpenAIAgent
 from llama_index.llms.openai import OpenAI as LlamaOpenAI
+from llama_index.core.callbacks import CallbackManager, LlamaDebugHandler
+
 
 from openai import OpenAI as OpenAIClient
 
@@ -63,9 +65,19 @@ class BasicAgent:
                 temperature=0.0,
                 api_key=openai_api_key
             )
+
+            #questo per vedere il ragionamento step by step
+            debug_handler = LlamaDebugHandler(print_trace_on_end=True)
+            callback_manager = CallbackManager([debug_handler])
     
             # Prepara l'agente
-            self.agent = OpenAIAgent.from_tools([ingredient_tool], llm=llm, verbose=True)
+            self.agent = OpenAIAgent.from_tools(
+                tools = [ingredient_tool], 
+                llm=llm, 
+                callback_manager=callback_manager,
+                verbose=True,
+                system_prompt=custom_yaml_prompt 
+            )
     
             # Client OpenAI per chiamate esterne (immagini/audio)
            
@@ -175,17 +187,22 @@ class BasicAgent:
 
         
     def _ask_gpt4o(self, text: str) -> str:
-        response = self.agent.chat(text)
-        return str(response)
-        '''
-        messages = [{"role": "user", "content": text}]
-        response = self.client.chat.completions.create(
-            model="gpt-4o-mini",
-            temperature=0,
-            messages=messages
-        )
-        return response.choices[0].message.content.strip()
-        '''
+        try:
+            response = self.agent.chat(text, verbose=True)
+    
+            print_coso("\n==== RISPOSTA AGENTE ====")
+            print(response.response)
+    
+            print_coso("\n==== RAW OUTPUT ====")
+            print(response.raw_output)
+            print_coso("\n==== FINE RAW OUTPUT ====")
+    
+            return str(response.response)
+        except Exception as e:
+            print_coso(f"[ERRORE] Agent chat fallita: {e}")
+            return "Agent error"
+
+
 
     def _ask_gpt4o_with_image(self, image: Image.Image, question: str) -> str:
         buffered = BytesIO()