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import os
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
from llama_index.llms.openai import OpenAI
async def smart_agent():
# api_key = os.getenv("HF_TOKEN")
OpenAI_key = os.getenv("OPEN_AI_TOKEN")
# llm = HuggingFaceInferenceAPI(
# model_name="deepseek-ai/DeepSeek-R1-0528",
# token=api_key,
# provider="auto",
# max_iterations=10
# )
llm = OpenAI(model="gpt-4o-mini", temperature=0.2, api_key=OpenAI_key)
# 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,
)
return llamaindex_agent |