From fe110ae14584d721bef2a9eb6715149aaad1891c Mon Sep 17 00:00:00 2001 From: Vadym Barda Date: Wed, 9 Oct 2024 16:59:49 -0400 Subject: [PATCH] docs: fix intro in supervisor tutorial (#2068) --- docs/docs/tutorials/multi_agent/agent_supervisor.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/docs/tutorials/multi_agent/agent_supervisor.ipynb b/docs/docs/tutorials/multi_agent/agent_supervisor.ipynb index 667b541b6..0bde42dbc 100644 --- a/docs/docs/tutorials/multi_agent/agent_supervisor.ipynb +++ b/docs/docs/tutorials/multi_agent/agent_supervisor.ipynb @@ -20,7 +20,7 @@ "\n", "![diagram](attachment:8ee0a8ce-f0a8-4019-b5bf-b20933e40956.png)\n", "\n", - "To simplify the code in each agent node, we will use the AgentExecutor class from LangChain. This and other \"advanced agent\" notebooks are designed to show how you can implement certain design patterns in LangGraph. If the pattern suits your needs, we recommend combining it with some of the other fundamental patterns described elsewhere in the docs for best performance.\n", + "To simplify the code in each agent node, we will use LangGraph's prebuilt [create_react_agent](https://langchain-ai.github.io/langgraph/reference/prebuilt/#langgraph.prebuilt.chat_agent_executor.create_react_agent). This and other \"advanced agent\" notebooks are designed to show how you can implement certain design patterns in LangGraph. If the pattern suits your needs, we recommend combining it with some of the other fundamental patterns described elsewhere in the docs for best performance.\n", "\n", "## Setup\n", "\n",