agent.py

# agent.py
import os
import requests
from smolagents import CodeAgent, tool, OpenAIServerModel

API_URL = "https://agents-course-unit4-scoring.hf.space"

@tool
def fetch_questions() -> list:
    """
    Fetch the full list of GAIA evaluation questions.

    Returns:
        list: A list of question dicts, each with 'task_id' and 'question'.
    """
    resp = requests.get(f"{API_URL}/questions", timeout=15)
    resp.raise_for_status()
    return resp.json()

@tool
def fetch_random_question() -> dict:
    """
    Fetch a single random GAIA question.

    Returns:
        dict: A dict with keys 'task_id' and 'question'.
    """
    resp = requests.get(f"{API_URL}/random-question", timeout=15)
    resp.raise_for_status()
    return resp.json()

@tool
def submit_answers(username: str, agent_code: str, answers: list) -> dict:
    """
    Submit the agent's answers to GAIA and get the scoring.

    Args:
        username (str): HF username for the submission.
        agent_code (str): URL of your Space repo for verification.
        answers (list): List of dicts, each with 'task_id' and 'submitted_answer'.

    Returns:
        dict: Contains 'score', 'correct_count', 'total_attempted', 'message', etc.
    """
    payload = {
        "username": username,
        "agent_code": agent_code,
        "answers": answers
    }
    resp = requests.post(f"{API_URL}/submit", json=payload, timeout=60)
    resp.raise_for_status()
    return resp.json()

def create_agent() -> CodeAgent:
    """
    Build and return a configured CodeAgent using OpenAI GPT-3.5 Turbo.
    Requires OPENAI_API_KEY in the environment.
    """
    model = OpenAIServerModel(model_id="gpt-3.5-turbo")
    agent = CodeAgent(
        tools=[fetch_questions, fetch_random_question, submit_answers],
        model=model,
        # Use `system_prompt`, not `prompt_template`
        system_prompt=(
            "You are a concise assistant.\n"
            "Here is a GAIA question:\n"
            "{task}\n"
            "Respond with only the exact answer (exact-match), no extra text.\n"
        )
    )
    return agent