Agent generujący treści z LangChain

from langchain_openai import ChatOpenAI
from langchain_core.tools import tool

@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}"

model = ChatOpenAI(model="gpt-4o")
model_with_tools = model.bind_tools([web_search, save_content])
response = model_with_tools.invoke([
    ("system", "You are a content writer. Research the topic first, then write engaging content. Save the final output using save_content."),
    ("user", "Write a blog post about the benefits of AI agents in customer service"),
])