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| from llama_index.core.agent.workflow import AgentWorkflow | |
| from llama_index.llms.huggingface_api import HuggingFaceInferenceAPI | |
| # Initialize the Hugging Face model | |
| llm = HuggingFaceInferenceAPI(model_name="Qwen/Qwen2.5-Coder-32B-Instruct") | |
| # Create Alfred, our gala agent, with the guest info tool | |
| alfred = AgentWorkflow.from_tools_or_functions( | |
| [guest_info_tool], | |
| llm=llm, | |
| ) | |
| # Example query Alfred might receive during the gala | |
| response = await alfred.run("Tell me about our guest named 'Lady Ada Lovelace'.") | |
| print("🎩 Alfred's Response:") | |
| print(response) |