agent.py

import asyncio
import nest_asyncio
from llama_index.core.agent.workflow import AgentWorkflow
from llama_index.llms.huggingface_api import HuggingFaceInferenceAPI
from youtube_tool import youtube_transcript_tool, youtube_transcript_snippet_tool
from multiple_tools import round_to_two_decimals_tool, text_inverter_tool, google_web_search_tool, wikipedia_search_tool


async def smart_agent(question : str, api_key : str) -> str:
    llm = HuggingFaceInferenceAPI(
        model_name="deepseek-ai/DeepSeek-R1-0528", 
        token=api_key,
        provider="auto",
        max_iterations=10,
        max_execution_time=60
        )
    
    # Create Alfred, our gala agent, with the guest info tool
    llamaindex_agent = AgentWorkflow.from_tools_or_functions(
        [wikipedia_search_tool, youtube_transcript_tool, youtube_transcript_snippet_tool, round_to_two_decimals_tool, text_inverter_tool, google_web_search_tool],
        llm=llm,
    )
    # Example query Alfred might receive during the gala
    response = await llamaindex_agent.run(question)
    return response