Update agent.py

agent.py

@@ -1,15 +1,10 @@
+# agent.py
 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:
     """
@@ -22,7 +17,6 @@ def fetch_questions() -> list:
     resp.raise_for_status()
     return resp.json()
 
-
 @tool
 def fetch_random_question() -> dict:
     """
@@ -35,19 +29,18 @@ def fetch_random_question() -> dict:
     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'.
+        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: A dict containing 'score', 'correct_count', 'total_attempted', 'message', etc.
+        dict: Contains 'score', 'correct_count', 'total_attempted', 'message', etc.
     """
     payload = {
         "username": username,
@@ -58,24 +51,21 @@ def submit_answers(username: str, agent_code: str, answers: list) -> dict:
     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.
     """
-    # Correctly pass the model_id parameter here:
     model = OpenAIServerModel(model_id="gpt-3.5-turbo")
     agent = CodeAgent(
         tools=[fetch_questions, fetch_random_question, submit_answers],
         model=model,
-        prompt_template=(
+        # Use `system_prompt`, not `prompt_template`
+        system_prompt=(
+            "You are a concise assistant.\n"
             "Here is a GAIA question:\n"
-            "{question}\n"
-            "Provide ONLY the exact answer (exact-match), with no extra text."
+            "{task}\n"
+            "Respond with only the exact answer (exact-match), no extra text.\n"
         )
     )
     return agent