docs fixes (#1620)

examples/chat_agent_executor_with_function_calling/high-level-tools.ipynb

@@ -103,14 +103,6 @@
     "    print(list(s.values())[0])\n",
     "    print(\"----\")"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "87f147e3-f96f-4b96-a3cc-ec7affd7a57f",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {

examples/docs/quickstart.ipynb

@@ -211,13 +211,6 @@
    "source": [
     "runnable.invoke(HumanMessage(\"What is your name?\"))"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {

examples/human_in_the_loop/review-tool-calls.ipynb

@@ -680,7 +680,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.1"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,

examples/introduction.ipynb

@@ -1265,7 +1265,6 @@
     "\n",
     "from langchain_anthropic import ChatAnthropic\n",
     "from langchain_community.tools.tavily_search import TavilySearchResults\n",
-    "from langchain_core.messages import BaseMessage\n",
     "from typing_extensions import TypedDict\n",
     "\n",
     "from langgraph.checkpoint.memory import MemorySaver\n",
@@ -1583,7 +1582,6 @@
     "\n",
     "from langchain_anthropic import ChatAnthropic\n",
     "from langchain_community.tools.tavily_search import TavilySearchResults\n",
-    "from langchain_core.messages import BaseMessage\n",
     "from typing_extensions import TypedDict\n",
     "\n",
     "from langgraph.checkpoint.memory import MemorySaver\n",
@@ -1698,7 +1696,7 @@
     }
    ],
    "source": [
-    "from langchain_core.messages import AIMessage\n",
+    "from langchain_core.messages import AIMessage, ToolMessage\n",
     "\n",
     "answer = (\n",
     "    \"LangGraph is a library for building stateful, multi-actor applications with LLMs.\"\n",
@@ -2082,7 +2080,6 @@
     "\n",
     "from langchain_anthropic import ChatAnthropic\n",
     "from langchain_community.tools.tavily_search import TavilySearchResults\n",
-    "from langchain_core.messages import BaseMessage\n",
     "from typing_extensions import TypedDict\n",
     "\n",
     "from langgraph.checkpoint.memory import MemorySaver\n",

examples/reflexion/reflexion.ipynb

@@ -573,7 +573,7 @@
    ],
    "source": [
     "events = graph.stream(\n",
-    "    [HumanMessage(content=\"How should we handle the climate crisis?\")],\n",
+    "    {\"messages\": [(\"user\", \"How should we handle the climate crisis?\")]},\n",
     "    stream_mode=\"values\",\n",
     ")\n",
     "for i, step in enumerate(events):\n",

examples/storm/storm.ipynb

@@ -1667,13 +1667,6 @@
         "# We will down-header the sections to create less confusion in this notebook\n",
         "Markdown(article.replace(\"\\n#\", \"\\n##\"))"
       ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
-      "source": []
     }
   ],
   "metadata": {

examples/tutorials/rag-agent-testing-local.ipynb

@@ -604,14 +604,6 @@
     "\n",
     "![Screenshot 2024-07-23 at 12.39.27 PM.png](attachment:5e0fb308-080e-4621-ba20-55a655bb981e.png)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8eb46884-08aa-4ab4-8bb9-f72277c3b35b",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {

examples/tutorials/rag-agent-testing.ipynb

@@ -1266,14 +1266,6 @@
     "\n",
     "![Screenshot 2024-06-23 at 1.32.31 PM.png](attachment:953411a8-f352-4c8f-a923-d3ff171c6080.png)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "bfa533b4-007f-4f86-b146-02c56a4e667a",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {

examples/tutorials/tool-calling-agent-local.ipynb

@@ -337,14 +337,6 @@
     "\n",
     "https://smith.langchain.com/public/7a4938e3-f94f-4e04-a162-bf592fba4643/r"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "74b813cb-18ed-42d8-b313-6ee56ded4bcc",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {