ci: run notebooks in 'development' for PRs (#3188)

langchain-ai · Jan 24, 2025 · 48040d8 · 48040d8
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diff --git a/.github/workflows/run_notebooks.yml b/.github/workflows/run_notebooks.yml
@@ -16,7 +16,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        lib-version: ${{ (github.event_name == 'pull_request') && fromJSON('["development"]') || fromJSON('["development", "latest"]') }}
+        lib-version: ${{ (github.event_name == 'workflow_dispatch' || github.event_name == 'schedule') && fromJSON('["development", "latest"]') || fromJSON('["development"]') }}
 
     steps:
       - uses: actions/checkout@v4

diff --git a/docs/docs/how-tos/react-agent-from-scratch.ipynb b/docs/docs/how-tos/react-agent-from-scratch.ipynb
@@ -14,7 +14,7 @@
     "    - [Messages](https://python.langchain.com/docs/concepts/messages/)\n",
     "    - [LangGraph Glossary](../../concepts/low_level/)\n",
     "\n",
-    "Using the prebuilt ReAct agent ([create_react_agent](https://langchain-ai.github.io/langgraph/reference/prebuilt/#langgraph.prebuilt.chat_agent_executor.create_react_agent)) is a great way to get started, but sometimes you might want more control and customization. In those cases, you can create a custom ReAct agent. This guide shows how to implement ReAct agent from scratch using LangGraph.\n",
+    "Using the prebuilt ReAct agent [create_react_agent][langgraph.prebuilt.chat_agent_executor.create_react_agent] is a great way to get started, but sometimes you might want more control and customization. In those cases, you can create a custom ReAct agent. This guide shows how to implement ReAct agent from scratch using LangGraph.\n",
     "\n",
     "## Setup\n",
     "\n",