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File size: 2,059 Bytes
e758f09 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 | from globals import *
# model_name = 'qwen3:8b'
model_name = 'llama3.2:latest'
# Initialize Laminar - this single step enables automatic tracing
Laminar.initialize(project_api_key=LAMINAR_API_KEY)
llm = ChatOllama(model=model_name)
# def load_guest_dataset():
guest_dataset = datasets.load_dataset("agents-course/unit3-invitees", split="train")
docs = [
Document(
page_content='\n'.join([
f"Name: {guest['name']}",
f"Relation: {guest['relation']}",
f"Description: {guest['description']}",
f"Email: {guest['email']}",
]),
metadata={'name': guest['name']}
) for guest in guest_dataset
]
bm25_retriever = BM25Retriever.from_documents(docs)
def extract_text(query: str) -> str:
"""Retrieves detailed information about gala guests based on their name or relation."""
results = bm25_retriever.invoke(query)
if results:
return '\n\n'.join([doc.page_content for doc in results[:3]])
else:
return 'NO match!'
guest_info_tool = Tool(
name='guest_info_retriever',
func=extract_text,
description='Retrieves detailed information about gala guests based on their name or relation.'
)
tools = [guest_info_tool]
llm_with_tools = llm.bind_tools(tools)
class AgentState(TypedDict):
messages: Annotated[list[AnyMessage], add_messages]
def assistant(state: AgentState):
return {
'messages': [llm_with_tools.invoke(state['messages'])]
}
builder = StateGraph(AgentState)
builder.add_node('assistant', assistant)
builder.add_node('tools', ToolNode(tools))
builder.add_edge(START, 'assistant')
builder.add_conditional_edges('assistant', tools_condition)
builder.add_edge('tools', 'assistant')
alfred = builder.compile()
with open("langgraph.png", "wb") as f:
f.write(alfred.get_graph().draw_mermaid_png())
messages = [HumanMessage(content="Tell me about our guest named 'Lady Ada Lovelace'.")]
response = alfred.invoke({'messages': messages})
print("🎩 Alfred's Response:")
print(response['messages'][-1].content) |