Update agentic.py

agentic.py

@@ -873,74 +873,3 @@ if __name__ == "__main__":
         answer = regex_result.group("answer")
     
     print(answer)
-
-    # with open("./questions.json", "r") as file:
-    #     questions_json = json.loads(file.read())
-
-    # for question_json in questions_json:
-    #     question = question_json.get("question", "")
-    #     file_name = question_json.get("file_name", "")
-
-    #     print(f"QUESTION : {question}")
-    #     print(f"FILE: {file_name}")
-
-    #     messages = [HumanMessage(content=f"Can you answer this question please ? {question}")]
-
-    #     messages = agent_graph.invoke(
-    #         input={"messages": messages, "question": question, "input_file": file_name}, 
-    #         config={
-    #             "recursion_limit": 10,
-    #             "callbacks": [langfuse_handler]
-    #         }
-    #     )
-
-    #     for m in messages['messages']:
-    #         m.pretty_print()
-        
-    #     try:
-    #         regex_result = re.search(r"FINAL ANSWER:\s*(?P<answer>.*)$", messages['messages'][-1].content)
-    #         answer = regex_result.group("answer")
-    #     except:
-    #         regex_result = re.search(r"\s*(?P<answer>.*)$", messages['messages'][-1].content)
-    #         answer = regex_result.group("answer")
-
-    #     print(answer)
-    #     time.sleep(10)
-
-    # def test():
-    #     # System message
-    #     textual_description_of_tool=f"""
-    #     web_search:
-    #         {web_search.description}
-    #         Args:
-    #             {web_search.args_schema.__doc__}
-    #             {web_search.args_schema.__annotations__}
-    #         Returns:
-    #            response_format: {web_search.response_format}
-        
-    #     wikipedia_search:
-    #         {wikipedia_search.description}
-    #         Args:
-    #             {wikipedia_search.args_schema.__doc__}
-    #             {wikipedia_search.args_schema.__annotations__}
-    #         Returns:
-    #             response_format: {wikipedia_search.response_format}
-
-    #     vision_model_call:
-    #         {vision_model_call.__doc__}
-    #         Args:
-    #             {vision_model_call.__annotations__}
-    #         Returns:
-    #             {vision_model_call.__annotations__['return']}
-
-    #     video_handler_model_call:
-    #         {video_handler_model_call.__doc__}
-    #         Args:
-    #             {video_handler_model_call.__annotations__}
-    #         Returns:
-    #             {video_handler_model_call.__annotations__['return']}
-    # """
-    
-    #     pprint(textual_description_of_tool)
-
-    # pprint(web_search.__annotations__)