Delete agent.py

agent.py

@@ -1,66 +0,0 @@
-
-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.
-
-    Returns:
-        CodeAgent: Configured with GAIA tools.
-    """
-    # Initialize the model for CodeAgent
-    # Use GPT-4 for improved performance (ensure your API key has GPT-4 access)
-    model = OpenAIServerModel(model_id="gpt-4")
-    # Instantiate CodeAgent with default prompt and provided tools
-    agent = CodeAgent(
-        tools=[fetch_questions, fetch_random_question, submit_answers],
-        model=model
-    )
-    return agent