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Update agent.py
Browse files
agent.py
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@@ -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
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@@ -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
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@@ -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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Args:
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question: The GAIA benchmark question
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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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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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return None
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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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# 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
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