import smolagents, numpy, math, xlrd, os
from smolagents import (
    CodeAgent,
    HfApiModel,
    InferenceClientModel,
    WebSearchTool,
    PythonInterpreterTool,
    FinalAnswerTool,
    DuckDuckGoSearchTool,
    GoogleSearchTool,
    )

class newAgent:
    """Adapts smolagents.CodeAgent to the HF course template API."""
    def __init__(self):
        model_id = "meta-llama/Meta-Llama-3-70B-Instruct"  # correct repo name
        hf_token = os.getenv("HUGGINGFACEHUB_API_TOKEN")   # read real secret
        if not hf_token:
            raise RuntimeError("HUGGINGFACEHUB_API_TOKEN not set in Space secrets")
#*
        system_prompt=(
                "You are an agent that answers exam questions."
                "Your answers should contain only what is asked for in the question, without any other content."
                "Be exact and concise in your answers to get a good score on the exam questions."
        )
#*
        model = HfApiModel(model_id=model_id, token=hf_token)
        
        # include FinalAnswerTool in tools so agent knows when to stop
        tools = [FinalAnswerTool()]
        self.agent = CodeAgent(
            tools=tools,
            model=model,
            add_base_tools=True,
            max_steps=5 # limit reasoning time
        )
   
    def __call__(self, question: str) -> str:
        """ONE question in → ONE pure-text answer out."""
        #↓ Replace .run with whatever method actually returns the answer string.
        result = self.agent.run(question)
        return result

        #answer = self.run
          
#agent.run(
#    "At what temperature and for how long should I bake French baguettes made with type 65 flour?",
#)