fix: set langggraph version > 0.3.1

Author: bsbodden

python-recipes/agents/00_langgraph_redis_agentic_rag.ipynb

@@ -38,14 +38,14 @@
         },
         {
             "cell_type": "code",
-            "execution_count": 1,
+            "execution_count": null,
             "id": "969fb438",
             "metadata": {
                 "id": "969fb438"
             },
             "outputs": [],
             "source": [
-                "%pip install -q langchain-community tiktoken langchain-openai langchainhub \"langchain-redis>=0.2.0\" langchain langgraph langchain-text-splitters bs4"
+                "%pip install -q --upgrade --force-reinstall langchain-community tiktoken langchain-openai langchainhub \"langchain-redis>=0.2.0\" langchain \"langgraph>0.3.1\" langchain-text-splitters bs4"
             ]
         },
         {
@@ -666,7 +666,7 @@
             "name": "python",
             "nbconvert_exporter": "python",
             "pygments_lexer": "ipython3",
-            "version": "3.11.9"
+            "version": "3.13.1"
         }
     },
     "nbformat": 4,

python-recipes/agents/02_full_featured_agent.ipynb

@@ -30,13 +30,13 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 1,
+      "execution_count": null,
       "metadata": {
         "id": "Zz62U5COgF21"
       },
       "outputs": [],
       "source": [
-        "%pip install -q langchain langchain-openai \"langchain-redis>=0.2.0\" langgraph sentence-transformers"
+        "%pip install -q --upgrade --force-reinstall langchain langchain-openai \"langchain-redis>=0.2.0\" \"langgraph>0.3.1\" sentence-transformers"
       ]
     },
     {
@@ -969,7 +969,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 54,
+      "execution_count": null,
       "metadata": {},
       "outputs": [],
       "source": [
@@ -985,7 +985,7 @@
         "    if cache_hit:\n",
         "        print(\"Cache hit - short circuit\")\n",
         "        return cache_hit\n",
-        "    \n",
+        "\n",
         "    return graph.invoke({\"messages\": question})\n"
       ]
     }