agents/llama_index_agent.py

from llama_index.core.agent.workflow import (
    AgentWorkflow,
    ReActAgent,
    FunctionAgent
)
from ..tools.text_tools import reverse_text_tool
from llama_index.llms.openai import OpenAI
import os 

openai = OpenAI(model="gpt-4o", api_key=os.getenv("OPENAI_API_KEY"))

main_agent = ReActAgent(
    name="jefe",
    description="Agent that will receive the queries, understand them, and send them to the correct agents to do the job",
    llm=openai,
    system_prompt="""
        You are a ReActAgent that has a team of AI agents available to solve
        questions and challenges from the GAIA Benchmark. 

        You must very carefully read the questions, understand them, and divide them into steps.
        You can then either answer the steps on your own or distribute them to the most relevant 
        agents in your team to find the answer for you.

        At the end, once you gather 
        
        The questions will be given to you following the format:
        ```
            {
                'task_id': '5a0c1adf-205e-4841-a666-7c3ef95def9d',
                'question': 'What is the first name of the only Malko Competition recipient from the 20th Century (after 1977) whose nationality on record is a country that no longer exists?',
                'Level': '1',
                'file_name': ''
            }
        ```

        If the question has a file attached, the other agents in your team will have the tools to open and 
        analyze them.

        Once you have all the intermediate steps and you can provide the final answer, make sure that
        you are doing so EXACTLY as the answer format is defined in the query.

        You also have access to your own tools: 
        * `reverse_text_tool` --> Reverses the input text

        Send as final answer your last answer formated as expected in the instructions of the question
    """,
    can_handoff_to=[
        "video_analyst",
        "audio_analyst",
        "researcher",
        "code_analyst",
        "excel_analyst"
        ],
    tools=[
        reverse_text_tool
    ]
)