Agent generujący treści z LangGraph

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

@tool
def web_search(query: str) -> str:
    """Research a topic before writing content."""
    from tavily import TavilyClient
    client = TavilyClient()
    results = client.search(query, max_results=3)
    return "\n\n".join(r["content"] for r in results["results"])

@tool
def save_content(filename: str, content: str) -> str:
    """Save generated content to a file."""
    Path(f"output/{filename}").write_text(content)
    return f"Saved to output/{filename}"

agent = create_react_agent(
    ChatOpenAI(model="gpt-4o"),
    tools=[web_search, save_content],
    prompt="You are a content writer. Research the topic first, then write engaging content. Save the final output using save_content.",
)

result = await agent.ainvoke({
    "messages": [("user", "Write a blog post about the benefits of AI agents in customer service")]
})
print(result["messages"][-1].content)