Chatbot obsługi klienta z LangGraph

from langchain_openai import ChatOpenAI
from langchain_core.tools import tool
from langgraph.prebuilt import create_react_agent

@tool
def search_faq(query: str) -> str:
    """Search the FAQ knowledge base for relevant answers."""
    results = faq_store.similarity_search(query, k=3)
    return "\n\n".join(
        f"Q: {r.metadata['question']}\nA: {r.page_content}"
        for r in results
    )

agent = create_react_agent(
    ChatOpenAI(model="gpt-4o"),
    tools=[search_faq],
    prompt="You are a helpful customer support agent. Use search_faq to find answers from the knowledge base before responding. Always cite the source FAQ.",
)

result = await agent.ainvoke({
    "messages": [("user", "How do I reset my password?")]
})
print(result["messages"][-1].content)