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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 | |
| async def smart_agent() -> AgentWorkflow: | |
| api_key = os.getenv("HF_TOKEN") | |
| llm = HuggingFaceInferenceAPI( | |
| model_name="deepseek-ai/DeepSeek-R1-0528", | |
| token=api_key, | |
| provider="auto", | |
| max_iterations=10 | |
| ) | |
| # 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 |