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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) |