From 767d34872f3387da45e5a78b74d437fa0b68c84b Mon Sep 17 00:00:00 2001 From: "open-swe[bot]" Date: Fri, 22 Aug 2025 13:27:08 +0000 Subject: [PATCH] Apply patch [skip ci] --- docs/docs/how-tos/multi_agent.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/docs/how-tos/multi_agent.md b/docs/docs/how-tos/multi_agent.md index d2dede896..319993bb1 100644 --- a/docs/docs/how-tos/multi_agent.md +++ b/docs/docs/how-tos/multi_agent.md @@ -183,7 +183,6 @@ You can use the @[`Send()`][Send] primitive to directly send data to the worker from typing import Annotated from langchain_core.tools import tool, InjectedToolCallId -from langgraph.prebuilt import InjectedState from langgraph.graph import StateGraph, START, MessagesState # highlight-next-line from langgraph.types import Command, Send @@ -1251,3 +1250,4 @@ LangGraph comes with prebuilt implementations of two of the most popular multi-a - [supervisor](../agents/multi-agent.md#supervisor) — individual agents are coordinated by a central supervisor agent. The supervisor controls all communication flow and task delegation, making decisions about which agent to invoke based on the current context and task requirements. You can use [`langgraph-supervisor`](https://github.com/langchain-ai/langgraph-supervisor-js) library to create a supervisor multi-agent systems. - [swarm](../agents/multi-agent.md#supervisor) — agents dynamically hand off control to one another based on their specializations. The system remembers which agent was last active, ensuring that on subsequent interactions, the conversation resumes with that agent. You can use [`langgraph-swarm`](https://github.com/langchain-ai/langgraph-swarm-js) library to create a swarm multi-agent systems. ::: +