app.py

import asyncio
from llama_index.core.agent.workflow import AgentWorkflow
from tools import weather_info_tool, hub_stats_tool
from llama_index.llms.openai import OpenAI
from llama_index.tools.duckduckgo import DuckDuckGoSearchToolSpec
from llama_index.core.tools import FunctionTool
from llama_index.core.workflow import Context

async def main():
    llm = OpenAI(model="gpt-4o")

    # Initialize the web search tool
    tool_spec = DuckDuckGoSearchToolSpec()
    search_tool = FunctionTool.from_defaults(tool_spec.duckduckgo_full_search)

    # Create Alfred, our gala agent, with the guest info tool
    alfred = AgentWorkflow.from_tools_or_functions(
        [weather_info_tool, hub_stats_tool, search_tool],
        llm=llm,
    )

    # Example query Alfred might receive during the gala
    #response = await alfred.run("What is Facebook and what's their most popular model?")

    #print("🎩 Alfred's Response:")
    #print(response)
    
    # Example query Alfred might receive during the gala
    #response = await alfred.run("What happened with prime minister in France today, and how is the weather in Paris?")

    #print("🎩 Alfred's Response:")
    #print(response)

    # Remembering state
    ctx = Context(alfred)
    
    # First interaction
    response1 = await alfred.run("Tell me about Lady Ada Lovelace.", ctx=ctx)
    print("🎩 Alfred's First Response:")
    print(response1)
    
    # Second interaction (referencing the first)
    response2 = await alfred.run("What projects is she currently working on?", ctx=ctx)
    print("🎩 Alfred's Second Response:")
    print(response2)

if __name__ == "__main__":
    asyncio.run(main())