From cd33de2ad10f1cdc74cf73134b5299367d6f50e8 Mon Sep 17 00:00:00 2001
From: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com>
Date: Tue, 9 Sep 2025 10:22:19 -0400
Subject: [PATCH] chore: minor CI/link fixes (#6116)

---
 .github/workflows/pr_lint.yml | 1 +
 README.md                     | 2 +-
 libs/langgraph/README.md      | 2 +-
 3 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/pr_lint.yml b/.github/workflows/pr_lint.yml
index f4bc62f51..aaba898be 100644
--- a/.github/workflows/pr_lint.yml
+++ b/.github/workflows/pr_lint.yml
@@ -40,6 +40,7 @@ jobs:
             sdk-py
             docs
             ci
+            deps
           requireScope: false
           ignoreLabels: |
             ignore-lint-pr-title
diff --git a/README.md b/README.md
index 47cc4d052..8fe8c5f2c 100644
--- a/README.md
+++ b/README.md
@@ -71,7 +71,7 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L
 
 ## Additional resources
 
-- [Guides](https://langchain-ai.github.io/langgraph/how-tos/): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
+- [Guides](https://langchain-ai.github.io/langgraph/guides/): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
 - [Reference](https://langchain-ai.github.io/langgraph/reference/graphs/): Detailed reference on core classes, methods, how to use the graph and checkpointing APIs, and higher-level prebuilt components.
 - [Examples](https://langchain-ai.github.io/langgraph/examples/): Guided examples on getting started with LangGraph.
 - [LangChain Forum](https://forum.langchain.com/): Connect with the community and share all of your technical questions, ideas, and feedback.
diff --git a/libs/langgraph/README.md b/libs/langgraph/README.md
index 47cc4d052..8fe8c5f2c 100644
--- a/libs/langgraph/README.md
+++ b/libs/langgraph/README.md
@@ -71,7 +71,7 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L
 
 ## Additional resources
 
-- [Guides](https://langchain-ai.github.io/langgraph/how-tos/): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
+- [Guides](https://langchain-ai.github.io/langgraph/guides/): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
 - [Reference](https://langchain-ai.github.io/langgraph/reference/graphs/): Detailed reference on core classes, methods, how to use the graph and checkpointing APIs, and higher-level prebuilt components.
 - [Examples](https://langchain-ai.github.io/langgraph/examples/): Guided examples on getting started with LangGraph.
 - [LangChain Forum](https://forum.langchain.com/): Connect with the community and share all of your technical questions, ideas, and feedback.