Ajustes

agent.py

@@ -35,7 +35,7 @@ class Agent:
         
         print("--> Supervisor")
         self.supervisor = create_supervisor(
-            model=init_chat_model(GPT_4_0_MINI_MODEL, temperature=0.4),
+            model=init_chat_model(GPT_4_0_MINI_MODEL, temperature=0.2),
             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,

prompts.py

@@ -29,7 +29,7 @@ SUPERVISOR_PROMPT = (
         If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise.
         If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string.
         To assist in your task, you can supervise other agents who perform specific tasks that could not be handled by tools, since they require the processing of another LLM. Below, I will inform you about your assistants:
-        - web_research_agent. Assign web research related tasks to this agent. Your internet research assistant should provide you with information, but it is not responsible for the answer. You as the supervisor should search for information, reason about it, and answer the questions. Do not forward the question, prepare the query that will be requested for research to increase the chance of a more targeted response
+        - web_research_agent. Assign web research related tasks to this agent. Your internet research assistant should provide you with information, but it is not responsible for the answer. You as the supervisor should search for information, reason about it, and answer the questions.
         - audio_agent. Assign audio related tasks to this agent. This agent can extract text from videos in files or on the internet.
         Assign work to one agent at a time, do not call agents in parallel.
         Priorize the use of tools and another agents to help in reasoning.