ci: only test changed notebooks using 'development' version of the library (#3187)

.github/workflows/run_notebooks.yml

@@ -16,9 +16,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        lib-version:
-          - "development"
-          - "latest"
+        lib-version: ${{ (github.event_name == 'pull_request') && fromJSON('["development"]') || fromJSON('["development", "latest"]') }}
 
     steps:
       - uses: actions/checkout@v4

docs/docs/how-tos/react-agent-from-scratch.ipynb

@@ -6,35 +6,13 @@
    "source": [
     "# How to create a ReAct agent from scratch\n",
     "\n",
-    "<div class=\"admonition tip\">\n",
-    "    <p class=\"admonition-title\">Prerequisites</p>\n",
-    "    <p>\n",
-    "        This guide assumes familiarity with the following:\n",
-    "        <ul>\n",
-    "            <li>\n",
-    "                <a href=\"https://langchain-ai.github.io/langgraph/concepts/agentic_concepts/#tool-calling-agent\">\n",
-    "                    Tool calling agent\n",
-    "                </a>\n",
-    "            </li>                \n",
-    "            <li>\n",
-    "                <a href=\"https://python.langchain.com/docs/concepts/chat_models\">\n",
-    "                    Chat Models\n",
-    "                </a>\n",
-    "            </li>\n",
-    "            <li>\n",
-    "                <a href=\"https://python.langchain.com/docs/concepts/messages\">\n",
-    "                    Messages\n",
-    "                </a>\n",
-    "            </li>\n",
-    "            <li>\n",
-    "                <a href=\"https://langchain-ai.github.io/langgraph/concepts/low_level/\">\n",
-    "                    LangGraph Glossary\n",
-    "                </a>\n",
-    "            </li>\n",
-    "        </ul>\n",
-    "    </p>\n",
-    "</div> \n",
-    "\n",
+    "!!! info \"Prerequisites\"\n",
+    "    This guide assumes familiarity with the following:\n",
+    "    \n",
+    "    - [Tool calling agent](../../concepts/agentic_concepts/#tool-calling-agent)\n",
+    "    - [Chat Models](https://python.langchain.com/docs/concepts/chat_models/)\n",
+    "    - [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",
     "\n",