biblioteca excel

agent.py

@@ -11,7 +11,11 @@ import glob
 
 class Agent:
     def __init__(self):
+        
         print("Initializing Agent....")
+        print("**************************************************************************************")
+        print('........ Versão: Sem Temperature no supervisor, tratamento da abertura do excel ,   .....')
+        print("**************************************************************************************")
         
         print("--> Audio Agent")
         self.audio_agent = create_react_agent(
@@ -31,7 +35,7 @@ class Agent:
         
         print("--> Supervisor")
         self.supervisor = create_supervisor(
-            model=init_chat_model("openai:gpt-4o-mini", temperature=0),
+            model=init_chat_model("openai:gpt-4o-mini"),
             agents=[self.web_search_agent, self.audio_agent],
             tools=[bird_video_count_tool,chess_image_to_fen_tool,chess_fen_get_best_next_move_tool,
                 get_excel_columns_tool, calculate_excel_sum_by_columns_tool,execute_python_code_tool,
@@ -45,7 +49,7 @@ class Agent:
         
     
     def __call__(self, question: str, task_id: str, task_file_name: str) -> str:
-        print(f"Agent (nova forma de invocar) received question({task_id}) (first 50 chars): {question[:50]}...")
+        print(f"Agent received question({task_id}) (first 50 chars): {question[:50]}...")
     
         file_prefix = ""
         if task_file_name:
@@ -64,7 +68,6 @@ class Agent:
                 ]
             }
         )
-        print('........ Versão: Teste Geral,   .....')
         print(f"Resposta LLM: {response}")
         # Extrair o conteúdo das mensagens do tipo AIMessage
         final_content = ""

requirements.txt

@@ -9,4 +9,5 @@ wikipedia-api
 yt-dlp
 ipython
 opencv-python
-google-generativeai
+google-generativeai
+openpyxl