From f23bec7be62713b40e35c3cc7dfc748775be1341 Mon Sep 17 00:00:00 2001
From: Asi Greenholts <88270351+TupleType@users.noreply.github.com>
Date: Thu, 6 Jun 2024 15:39:54 +0300
Subject: [PATCH] docs: Fix typo (#22596)

Fix typo
---
 docs/docs/concepts.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/docs/concepts.mdx b/docs/docs/concepts.mdx
index 17badc7bfb..95f2300457 100644
--- a/docs/docs/concepts.mdx
+++ b/docs/docs/concepts.mdx
@@ -478,7 +478,7 @@ tools = toolkit.get_tools()
 
 By themselves, language models can't take actions - they just output text.
 A big use case for LangChain is creating **agents**.
-Agents are systems that use an LLM as a reasoning enginer to determine which actions to take and what the inputs to those actions should be.
+Agents are systems that use an LLM as a reasoning engine to determine which actions to take and what the inputs to those actions should be.
 The results of those actions can then be fed back into the agent and it determine whether more actions are needed, or whether it is okay to finish.
 
 [LangGraph](https://github.com/langchain-ai/langgraph) is an extension of LangChain specifically aimed at creating highly controllable and customizable agents.