Create agent.py

agent.py

@@ -0,0 +1,24 @@
+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