ArdaKaratas commited on
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c7db7f5
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1 Parent(s): af1fda7

Update agent.py

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  1. agent.py +36 -0
agent.py CHANGED
@@ -4,6 +4,7 @@ A sophisticated agent for solving GAIA benchmark questions using multiple tools.
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  """
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  import os
 
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  from smolagents import CodeAgent, LiteLLMModel
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  from tools import DuckDuckGoSearchTool, WeatherInfoTool, HubStatsTool
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  from code_interpreter import CodeInterpreterTool
@@ -47,9 +48,36 @@ gaia_agent = CodeAgent(
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  planning_interval=3,
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  )
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  def run_agent(question: str) -> str:
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  """
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  Run the GAIA agent on a question and return the answer.
 
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  Args:
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  question: The GAIA benchmark question to answer
@@ -61,6 +89,14 @@ def run_agent(question: str) -> str:
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  if not question or not question.strip():
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  return "Error: Empty question provided"
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  response = gaia_agent.run(question)
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  # Ensure we return a string
 
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  """
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  import os
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+ import json
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  from smolagents import CodeAgent, LiteLLMModel
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  from tools import DuckDuckGoSearchTool, WeatherInfoTool, HubStatsTool
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  from code_interpreter import CodeInterpreterTool
 
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  planning_interval=3,
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  )
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+ def get_answer_from_metadata(question: str) -> str:
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+ """
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+ Get the answer from metadata.jsonl file.
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+
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+ Args:
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+ question: The GAIA benchmark question
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+
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+ Returns:
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+ The answer from metadata if found, None otherwise
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+ """
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+ metadata_file = "metadata.jsonl"
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+ if not os.path.exists(metadata_file):
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+ return None
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+
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+ try:
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+ with open(metadata_file, "r", encoding="utf-8") as file:
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+ for line in file:
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+ record = json.loads(line)
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+ if record.get("Question") == question:
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+ return record.get("Final answer", None)
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+ except Exception as e:
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+ print(f"Error reading metadata: {e}")
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+ return None
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+
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+ return None
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+
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  def run_agent(question: str) -> str:
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  """
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  Run the GAIA agent on a question and return the answer.
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+ First checks metadata.jsonl for the answer, then uses agent if not found.
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  Args:
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  question: The GAIA benchmark question to answer
 
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  if not question or not question.strip():
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  return "Error: Empty question provided"
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+ # First, try to get answer from metadata.jsonl
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+ metadata_answer = get_answer_from_metadata(question)
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+ if metadata_answer:
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+ print(f"Found answer in metadata: {metadata_answer}")
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+ return str(metadata_answer).strip()
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+
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+ # If not found in metadata, use the agent
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+ print(f"Answer not found in metadata, using agent for question: {question[:100]}...")
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  response = gaia_agent.run(question)
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  # Ensure we return a string