agent.py

from langgraph.prebuilt import create_react_agent
from prompts import *
from tools import *
from langgraph_supervisor import create_supervisor
from langchain.chat_models import init_chat_model

import glob

class Agent:
    def __init__(self):
        print("Initializing Agent....")
        
        print("--> Audio Agent")
        self.audio_agent = create_react_agent(
            model="openai:gpt-4o-mini",  # gpt-4o-mini-2024-07-18
            tools=[extract_text_from_url_tool, extract_text_from_file_tool],
            prompt= AUDIO_AGENT_PROMPT,
            name="audio_agent",
        )
        
        print("--> Web Search Agent")
        self.web_search_agent = create_react_agent(
            model="openai:gpt-4o-mini",  # gpt-4o-mini-2024-07-18
            tools=[search_web_tool],
            prompt= WEB_SEARCH_AGENT_PROMPT,
            name="web_research_agent",
        )
        
        print("--> Supervisor")
        self.supervisor = create_supervisor(
            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,
                text_inverter_tool, check_table_commutativity_tool],
            prompt= SUPERVISOR_PROMPT,
            add_handoff_back_messages=True,
            output_mode="full_history",
        ).compile()
        
        print("Agent initialized.")
        
    def _exist_file_with_task_id(task_id: str) -> str:
        padrao = os.path.join(AGENTS_FILES_PATH, f"{task_id}.*")
        arquivos_encontrados = glob.glob(padrao)
        return arquivos_encontrados[0] if arquivos_encontrados else None     
        
        
    def __call__(self, question: str, task_id: str) -> str:
        print(f"Agent received question (first 50 chars): {question[:50]}...")
        file = self._exist_file_with_task_id(task_id)
        
        fixed_answer = "This is a default answer."
        print(f"Agent returning fixed answer: {fixed_answer}")
        return fixed_answer