agent.py

from llama_index.llms.google_genai import GoogleGenAI
from llama_index.tools.arxiv import ArxivToolSpec
from llama_index.tools.wikipedia import WikipediaToolSpec
from llama_index.tools.duckduckgo import DuckDuckGoSearchResultsToolSpec
from llama_index.core.tools import FunctionTool
from llama_index.core.agent.workflow import AgentWorkflow

from tools import interpret_python_math_code
from gaia_system_prompt import GAIA_SYSTEM_PROMPT

import os

GEMINI_API_KEY = os.getenv("GEMINI_TOKEN")
GEMINI_MODEL_NAME = "gemini-2.5-flash-preview-04-17"

class FinalAgent:
    def __init__(self):
        # LLM Initialization
        self.llm = GoogleGenAI(model=GEMINI_MODEL_NAME, api_key=GEMINI_API_KEY)

        # Tool Initialization
        self.tools = [
            FunctionTool.from_defaults(
                func=interpret_python_math_code,
                name="InterpretPythonMathCode",
                description="Interprets Python code for mathematical expressions."
            ),
            DuckDuckGoSearchResultsToolSpec(),
            WikipediaToolSpec(),
            ArxivToolSpec()
        ]

        # Agent Workflow Initialization
        self.agent = AgentWorkflow(
            llm=self.llm,
            tools=self.tools,
            system_prompt=GAIA_SYSTEM_PROMPT
        )

        print("FinalAgent initialized.")
    def __call__(self, question: str) -> str:
        # Example
        print(f"Agent received question (first 50 chars): {question[:50]}...")
        fixed_answer = "This is a default answer."
        print(f"Agent returning fixed answer: {fixed_answer}")

        # Implement agent logic here
        response = self.agent.run(question)
        
        return response