Chatbot obsługi klienta z CrewAI

from crewai import Agent, Crew, Task
from langchain_openai import ChatOpenAI
from langchain_core.tools import tool

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

task = Task(
    description="How do I reset my password?",
    expected_output="Detailed response",
    agent=agent,
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result.raw)