llm = ChatOpenAI(model="gpt-4o") search = TavilySearchResults(max_results=3)
output = app.invoke("query": "Latest advances in agentic AI memory systems", "research_notes": [], "iteration": 0) print(output["research_notes"]) the agentic ai bible pdf upd
That curated collection, updated quarterly, is the real “Agentic AI Bible.” the agentic ai bible pdf upd
def should_continue(state): if state["iteration"] >= 2: return END else: return "research" the agentic ai bible pdf upd