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import os
from smolagents import CodeAgent, ToolCallingAgent
from smolagents import OpenAIServerModel
from tools.fetch import fetch_webpage
from tools.yttranscript import get_youtube_transcript, get_youtube_title_description
import myprompts
# --- Basic Agent Definition ---
class BasicAgent:
def __init__(self):
print("BasicAgent initialized.")
def __call__(self, question: str) -> str:
print(f"Agent received question (first 50 chars): {question[:50]}...")
try:
# Use the reviewer agent to determine if the question can be answered by a model or requires code
print("Calling reviewer agent...")
reviewer_answer = reviewer_agent.run(myprompts.review_prompt + "\nThe question is:\n" + question)
print(f"Reviewer agent answer: {reviewer_answer}")
question = question + '\n' + myprompts.output_format
fixed_answer = ""
if reviewer_answer == "code":
fixed_answer = gaia_agent.run(question)
print(f"Code agent answer: {fixed_answer}")
elif reviewer_answer == "model":
# If the reviewer agent suggests using the model, we can proceed with the model agent
print("Using model agent to answer the question.")
fixed_answer = model_agent.run(myprompts.model_prompt + "\nThe question is:\n" + question)
print(f"Model agent answer: {fixed_answer}")
return fixed_answer
except Exception as e:
error = f"An error occurred while processing the question: {e}"
print(error)
return error
model = OpenAIServerModel(
model_id="gpt-4.1-nano",
api_base="https://api.openai.com/v1",
api_key=os.environ["OPENAI_API_KEY"],
)
reviewer_agent= ToolCallingAgent(model=model, tools=[])
model_agent = ToolCallingAgent(model=model,tools=[fetch_webpage])
gaia_agent = CodeAgent(tools=[fetch_webpage,get_youtube_title_description,get_youtube_transcript ], model=model)
if __name__ == "__main__":
# Example usage
question = "What was the actual enrollment of the Malko competition in 2023?"
agent = BasicAgent()
answer = agent(question)
print(f"Answer: {answer}") |