fix

agent.py

@@ -1,5 +1,3 @@
-
-
 import os
 import requests
 from smolagents import CodeAgent, tool, OpenAIServerModel
@@ -18,37 +16,34 @@ def fetch_questions() -> list:
     """
     Fetch the full list of GAIA evaluation questions.
 
-    :return: A list of question dictionaries, each with 'task_id' and 'question'.
+    :return: A list of question dicts, each with 'task_id' and 'question'.
     """
-    response = requests.get(f"{API_URL}/questions", timeout=15)
-    response.raise_for_status()
-    return response.json()
-
+    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.
 
-    :return: A dict with keys 'task_id' and 'question'.
+    :return: A dict containing 'task_id' and 'question'.
     """
-    response = requests.get(f"{API_URL}/random-question", timeout=15)
-    response.raise_for_status()
-    return response.json()
-
+    resp = requests.get(f"{API_URL}/random-question", timeout=15)
+    resp.raise_for_status()
+    return resp.json()
 
 @tool
 def fetch_file(task_id: str) -> bytes:
     """
-    Download a file associated with a given task_id.
+    Download a file associated with a given GAIA task.
 
-    :param task_id: The ID of the GAIA task whose file you want to download.
-    :return: The file content as raw bytes.
+    :param task_id: The ID of the GAIA task whose file to download.
+    :return: Raw bytes of the file.
     """
-    response = requests.get(f"{API_URL}/files/{task_id}", timeout=15)
-    response.raise_for_status()
-    return response.content
-
+    resp = requests.get(f"{API_URL}/files/{task_id}", timeout=15)
+    resp.raise_for_status()
+    return resp.content
 
 @tool
 def submit_answers(
@@ -57,37 +52,35 @@ def submit_answers(
     answers: list
 ) -> dict:
     """
-    Submit the agent's answers to GAIA and return the scoring.
+    Submit the agent's answers and get back the scoring.
 
-    :param username: Your Hugging Face username (identifies the submission).
-    :param agent_code: URL to your HF Space code (for verification).
-    :param answers: List of dicts each with 'task_id' and 'submitted_answer'.
-    :return: A dict containing 'score', 'correct_count', 'total_attempted', 'message', etc.
+    :param username: Your HF username for the submission.
+    :param agent_code: URL to your Space code (for verification).
+    :param answers: List of dicts with 'task_id' and 'submitted_answer'.
+    :return: Dict with keys 'score', 'correct_count', 'total_attempted', 'message', etc.
     """
     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()
-
+    resp = requests.post(f"{API_URL}/submit", json=payload, timeout=60)
+    resp.raise_for_status()
+    return resp.json()
 
 def create_agent() -> CodeAgent:
     """
-    Factory that returns a configured CodeAgent instance using OpenAI.
-
+    Build and return a configured CodeAgent using OpenAI GPT-3.5 Turbo.
     Expects OPENAI_API_KEY in the environment.
     """
-    openai_model = OpenAIServerModel(model_name="gpt-3.5-turbo")
+    model = OpenAIServerModel(model_name="gpt-3.5-turbo")
     agent = CodeAgent(
         tools=[fetch_questions, fetch_random_question, fetch_file, submit_answers],
-        model=openai_model,
+        model=model,
         prompt_template=(
             "Here is a GAIA question:\n"
             "{question}\n"
-            "Provide ONLY the exact answer (exact-match) with no extra text."
+            "Respond with only the exact answer (exact-match), no extra text."
         )
     )
     return agent