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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.
"""
response = requests.get(f"{API_URL}/questions", timeout=15)
response.raise_for_status()
return response.json()
@tool
def fetch_random_question() -> dict:
"""
Fetch a single random GAIA question.
"""
response = requests.get(f"{API_URL}/random-question", timeout=15)
response.raise_for_status()
return response.json()
@tool
def fetch_file(task_id: str) -> bytes:
"""
Download a file associated with a given task_id.
"""
response = requests.get(f"{API_URL}/files/{task_id}", timeout=15)
response.raise_for_status()
return response.content
@tool
def submit_answers(username: str, agent_code: str, answers: list) -> dict:
"""
Submit the agent's answers to GAIA and return the scoring.
"""
payload = {
"username": username,
"agent_code": agent_code,
"answers": answers
}
response = requests.post(f"{API_URL}/submit", json=payload, timeout=60)
response.raise_for_status()
return response.json()
# ------------------------
# Agent factory
# ------------------------
def create_agent() -> CodeAgent:
"""
Factory that returns a configured CodeAgent instance.
Requires OPENAI_API_KEY in environment.
"""
# Initialize the LLM with OpenAI API
llm = OpenAIServerModel(
model_id=os.getenv("OPENAI_MODEL_ID", "gpt-3.5-turbo"),
api_key=os.getenv("OPENAI_API_KEY")
)
# Create agent with defined tools
agent = CodeAgent(
tools=[fetch_questions, fetch_random_question, fetch_file, submit_answers],
model=llm
)
return agent
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