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import os
import requests
from smolagents import CodeAgent, tool, OpenAIServerModel
# ------------------------
# Constants
# ------------------------
API_URL = "https://agents-course-unit4-scoring.hf.space"
# ------------------------
# Tool definitions
# ------------------------
@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): The Hugging Face username identifying the submission.
agent_code (str): URL to your Space code repository for verification.
answers (list): A list of dicts, each with 'task_id' and 'submitted_answer'.
Returns:
dict: A dict containing '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.
Returns:
CodeAgent: An instance of CodeAgent configured with the GAIA tools.
"""
# Use 'model_id' to match the OpenAIServerModel signature
model = OpenAIServerModel(model_id="gpt-3.5-turbo")
agent = CodeAgent(
tools=[fetch_questions, fetch_random_question, submit_answers],
model=model,
prompt_template=(
"Here is a GAIA question:\n"
"{question}\n"
"Provide ONLY the exact answer (exact-match), with no extra text."
)
)
return agent
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